metkit-1.22.0/0000775000175000017500000000000015263642712013265 5ustar alastairalastairmetkit-1.22.0/.vscode/0000775000175000017500000000000015263642712014626 5ustar alastairalastairmetkit-1.22.0/.vscode/launch.json0000664000175000017500000001317715263642712017004 0ustar alastairalastair{ // Use IntelliSense to learn about possible attributes. // Hover to view descriptions of existing attributes. // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 "version": "0.2.0", "configurations": [ { "name": "Python: Current File", "type": "python", "request": "launch", "program": "${file}", "console": "integratedTerminal", "justMyCode": true }, { "name": "make params MARS yaml (deprecated method)", "type": "python", "request": "launch", "program": "${env:HOME}/git/metkit/share/metkit/make-params-yaml.py", "console": "integratedTerminal", "justMyCode": false, "env": { "ECFLOW_DIR": "/usr/local/apps/ecflow/5.8.1" // "${env:ECFLOW_DIR}" }, "args": [""], "cwd":"${env:HOME}/git/metkit/share/metkit/" }, { "name": "make paramIds yaml - 0001", "type": "python", "request": "launch", "program": "${env:HOME}/git/metkit/share/metkit/make-paramids-yaml.py", "console": "integratedTerminal", "justMyCode": false, "env": { "ECFLOW_DIR": "/usr/local/apps/ecflow/5.8.1" // "${env:ECFLOW_DIR}" }, "args": [""], "cwd":"${env:HOME}/git/metkit/share/metkit/" }, { "name": "make paramIds yaml - 0078", "type": "python", "request": "launch", "program": "${env:HOME}/git/metkit/share/metkit/make-paramids-yaml-esuite.py", "console": "integratedTerminal", "justMyCode": false, "env": { "ECFLOW_DIR": "/usr/local/apps/ecflow/5.8.1" // "${env:ECFLOW_DIR}" }, "args": [""], "cwd":"${env:HOME}/git/metkit/share/metkit/" }, { "name": "make params FDB yaml - 0001", "type": "python", "request": "launch", "program": "${env:HOME}/git/metkit/share/metkit/make-params-yaml-from-fields-catalogue.py", "console": "integratedTerminal", "justMyCode": false, "env": { "ECFLOW_DIR": "/usr/local/apps/ecflow/5.8.1", // "${env:ECFLOW_DIR}" "PRODUCT_CATALOGUE_HOST": "bol-db-products-prod-01", "PRODUCT_CATALOGUE_DB": "products", "PRODUCT_CATALOGUE_USER": "ecmwf_ro", "PRODUCT_CATALOGUE_PASSWORD": "ecmwf_ro", "PRODUCT_CATALOGUE_PORT": "5432", "VALIDATION_SERVICE_HOST": "https://products.ecmwf.int/requirements/" }, "args": [""], "cwd":"${env:HOME}/git/metkit/share/metkit/" }, { "name": "make params FDB yaml - 0078 - preprod", "type": "python", "request": "launch", "program": "${env:HOME}/git/metkit/share/metkit/make-params-yaml-from-fields-catalogue.py", "console": "integratedTerminal", "justMyCode": false, "env": { "ECFLOW_DIR": "/usr/local/apps/ecflow/5.8.1", // "${env:ECFLOW_DIR}" "PRODUCT_CATALOGUE_HOST": "k8s-bol-webapps-test-worker-016", "PRODUCT_CATALOGUE_DB": "products", "PRODUCT_CATALOGUE_USER": "products", "PRODUCT_CATALOGUE_PASSWORD": "products", "PRODUCT_CATALOGUE_PORT": "30544", "VALIDATION_SERVICE_HOST": "https://products-test.ecmwf.int/esuite/requirements/" }, "args": [""], "cwd":"${env:HOME}/git/metkit/share/metkit/" }, { "name": "make params FDB yaml - 0078 - prod", "type": "python", "request": "launch", "program": "${env:HOME}/git/metkit/share/metkit/make-params-yaml-from-fields-catalogue.py", "console": "integratedTerminal", "justMyCode": false, "env": { "ECFLOW_DIR": "/usr/local/apps/ecflow/5.8.1", // "${env:ECFLOW_DIR}" "PRODUCT_CATALOGUE_HOST": "k8s-bol-webapps-prod-worker-012", "PRODUCT_CATALOGUE_DB": "products", "PRODUCT_CATALOGUE_USER": "products", "PRODUCT_CATALOGUE_PASSWORD": "products", "PRODUCT_CATALOGUE_PORT": "30545", "VALIDATION_SERVICE_HOST": "https://products.ecmwf.int/esuite/requirements/" }, "args": [""], "cwd":"${env:HOME}/git/metkit/share/metkit/" }, { "name": "make fields DB yaml - 0001", "type": "python", "request": "launch", "program": "${env:HOME}/git/metkit/share/metkit/fieldsdb.py", "console": "integratedTerminal", "justMyCode": false, "env": { "ECFLOW_DIR": "/usr/local/apps/ecflow/5.8.1", // "${env:ECFLOW_DIR}" }, "args": [""], "cwd":"${env:HOME}/git/metkit/share/metkit/" }, { "name": "make fields DB yaml - 0078", "type": "python", "request": "launch", "program": "${env:HOME}/git/metkit/share/metkit/fieldsdb-esuite.py", "console": "integratedTerminal", "justMyCode": false, "env": { "ECFLOW_DIR": "/usr/local/apps/ecflow/5.8.1", // "${env:ECFLOW_DIR}" }, "args": [""], "cwd":"${env:HOME}/git/metkit/share/metkit/" }, ] } metkit-1.22.0/bamboo/0000775000175000017500000000000015263642712014524 5ustar alastairalastairmetkit-1.22.0/bamboo/env.sh0000664000175000017500000000007615263642712015653 0ustar alastairalastair#!/usr/bin/env bash # export VAR=VALUE # ctest_parallel="no" metkit-1.22.0/bamboo/CLANG-env.sh0000664000175000017500000000065315263642712016476 0ustar alastairalastair#!/bin/bash [[ $(uname) == "Darwin" ]] && return # no module environment on the Mac # initialise module environment if it is not if [[ ! $(command -v module > /dev/null 2>&1) ]]; then . /usr/local/apps/module/init/bash fi module unload grib_api module unload eccodes module unload emos module unload fftw module unload libemos module unload metview module unload netcdf4 module load cmake/3.16.5 module switch gnu clang metkit-1.22.0/bamboo/CMakeLists.txt0000664000175000017500000000025415263642712017265 0ustar alastairalastairfile( GLOB_RECURSE bamboo_files RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} "*" ) ecbuild_add_resources( TARGET ${PROJECT_NAME}_bamboo SOURCES_DONT_PACK ${bamboo_files} ) metkit-1.22.0/bamboo/INTEL-env.sh0000664000175000017500000000066215263642712016525 0ustar alastairalastair#!/bin/bash [[ $(uname) == "Darwin" ]] && return # no module environment on the Mac # initialise module environment if it is not if [[ ! $(command -v module > /dev/null 2>&1) ]]; then . /usr/local/apps/module/init/bash fi module unload grib_api module unload eccodes module unload emos module unload fftw module unload libemos module unload metview module unload netcdf4 module load cmake/3.16.5 module switch gnu intel/17.0.3 metkit-1.22.0/bamboo/MACOSX-env.sh0000664000175000017500000000007515263642712016642 0ustar alastairalastairexport PATH=$HOME/Applications/CMake.app/Contents/bin:$PATH metkit-1.22.0/bamboo/GCC-env.sh0000664000175000017500000000062215263642712016242 0ustar alastairalastair#!/bin/bash [[ $(uname) == "Darwin" ]] && return # no module environment on the Mac # initialise module environment if it is not if [[ ! $(command -v module > /dev/null 2>&1) ]]; then . /usr/local/apps/module/init/bash fi module unload grib_api module unload eccodes module unload emos module unload fftw module unload libemos module unload metview module unload netcdf4 module load cmake/3.16.5 metkit-1.22.0/.github/0000775000175000017500000000000015263642712014625 5ustar alastairalastairmetkit-1.22.0/.github/ci-hpc-config.yml0000664000175000017500000000054415263642712017761 0ustar alastairalastairbuild: modules: - ninja dependencies: - ecmwf/ecbuild@develop - ecmwf/eckit@develop - ecmwf/eccodes@develop dependency_cmake_options: - "ecmwf/eccodes: '-DENABLE_ECKIT_GEO=ON'" parallel: 64 env: - ECCODES_SAMPLES_PATH=$ECCODES_DIR/share/eccodes/samples - ECCODES_DEFINITION_PATH=$ECCODES_DIR/share/eccodes/definitions metkit-1.22.0/.github/ci-config.yml0000664000175000017500000000035315263642712017207 0ustar alastairalastairdependency_cmake_options: | ecmwf/eccodes: "-DENABLE_ECKIT_GEO=ON" dependencies: | ecmwf/ecbuild Deutsches-Klimarechenzentrum/libaec@refs/tags/v1.1.6 ecmwf/eckit ecmwf/eccodes dependency_branch: develop parallelism_factor: 8 metkit-1.22.0/.github/copilot-instructions.md0000664000175000017500000000257215263642712021370 0ustar alastairalastair# Copilot Repository Instructions ## Documentation synchronization rule When working on a pull request: 1. Determine the set of files modified by the PR. 2. From that set, consider only files under: - `src/metkit/mars2grib` - Changes under `tests/mars2grib` require documentation updates only if they affect documented public behaviour 3. For each of those files: - Verify that the related documentation is present in the concrete doc locations for mars2grib, including (where applicable): - `src/metkit/mars2grib/docs/**` - Any module-level `.md` files or Doxygen pages associated with the modified code - Verify that the documentation in these locations is up to date with the code changes - If documentation is missing or outdated in these locations, propose the required updates 4. Do not request documentation changes for files outside these paths. ## Definition of “documentation in sync” Documentation must: - Describe the current public behavior and interfaces - Reflect any new parameters, options, or outputs - Remove references to deleted functionality ## PR review behavior During PR reviews: - Explicitly list the impacted files in the two target directories - State whether documentation is: - ✅ in sync - ❌ missing - ❌ outdated - Suggest concrete doc patches when needed, referencing the specific lines or sections that require updates. metkit-1.22.0/.github/workflows/0000775000175000017500000000000015263642712016662 5ustar alastairalastairmetkit-1.22.0/.github/workflows/notify-issues.yml0000664000175000017500000000042115263642712022223 0ustar alastairalastairname: Notify Issues on: issues: types: [opened, reopened] jobs: notify: runs-on: ubuntu-latest steps: - name: Notify Issues uses: ecmwf/notify-teams-issue@v1 with: incoming_webhook: ${{ secrets.MS_TEAMS_INCOMING_WEBHOOK }} metkit-1.22.0/.github/workflows/ci.yml0000664000175000017500000000741415263642712020006 0ustar alastairalastairname: ci on: # Trigger the workflow on push to master or develop, except tag creation push: branches: - 'master' - 'develop' tags-ignore: - '**' # Trigger the workflow on pull request pull_request: ~ # Trigger the workflow manually workflow_dispatch: ~ # Trigger after public PR approved for CI pull_request_target: types: [labeled] jobs: # Run CI including downstream packages on self-hosted runners downstream-ci: name: downstream-ci if: ${{ !github.event.pull_request.head.repo.fork && github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci' }} uses: ecmwf/downstream-ci/.github/workflows/downstream-ci.yml@main with: metkit: ecmwf/metkit@${{ github.event.pull_request.head.sha || github.sha }} codecov_upload: true clang_format: true secrets: inherit # Run Rust CI (fmt + clippy + doc + test) on the rust/ workspace ci-rust: name: ci-rust if: ${{ !github.event.pull_request.head.repo.fork && github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci' }} uses: ecmwf/reusable-workflows/.github/workflows/ci-rust.yml@main with: manifest-path: rust/Cargo.toml features: --features vendored secrets: private_repos_token: ${{ secrets.GH_REPO_READ_TOKEN }} # Run CI of private downstream packages on self-hosted runners private-downstream-ci: name: private-downstream-ci needs: [downstream-ci] if: ${{ (success() || failure()) && (!github.event.pull_request.head.repo.fork && github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci') }} runs-on: ubuntu-latest permissions: pull-requests: write steps: - name: Dispatch private downstream CI uses: ecmwf/dispatch-private-downstream-ci@v1 with: token: ${{ secrets.GH_REPO_READ_TOKEN }} owner: ecmwf repository: private-downstream-ci event_type: downstream-ci payload: '{"metkit": "ecmwf/metkit@${{ github.event.pull_request.head.sha || github.sha }}"}' # Build downstream packages on HPC downstream-ci-hpc: name: downstream-ci-hpc if: ${{ !github.event.pull_request.head.repo.fork && github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci' }} uses: ecmwf/downstream-ci/.github/workflows/downstream-ci-hpc.yml@main with: metkit: ecmwf/metkit@${{ github.event.pull_request.head.sha || github.sha }} secrets: inherit # Run CI of private downstream packages on HPC private-downstream-ci-hpc: name: private-downstream-ci-hpc needs: [downstream-ci-hpc] if: ${{ (success() || failure()) && (!github.event.pull_request.head.repo.fork && github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci') }} runs-on: ubuntu-latest permissions: pull-requests: write steps: - name: Dispatch private downstream CI uses: ecmwf/dispatch-private-downstream-ci@v1 with: token: ${{ secrets.GH_REPO_READ_TOKEN }} owner: ecmwf repository: private-downstream-ci event_type: downstream-ci-hpc payload: '{"metkit": "ecmwf/metkit@${{ github.event.pull_request.head.sha || github.sha }}"}' notify: runs-on: ubuntu-latest needs: - downstream-ci - ci-rust - private-downstream-ci - downstream-ci-hpc - private-downstream-ci-hpc if: ${{ always() && !github.event.pull_request.head.repo.fork && (github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci') }} steps: - name: Trigger Teams notification uses: ecmwf/notify-teams@v1 with: incoming_webhook: ${{ secrets.MS_TEAMS_INCOMING_WEBHOOK }} needs_context: ${{ toJSON(needs) }} metkit-1.22.0/.github/workflows/notify-pull-request.yml0000664000175000017500000000044715263642712023362 0ustar alastairalastairname: Notify Pull Request on: pull_request_target: types: [opened, reopened] jobs: notify: runs-on: ubuntu-latest steps: - name: Notify Pull Request uses: ecmwf/notify-teams-pr@v1 with: incoming_webhook: ${{ secrets.MS_TEAMS_INCOMING_WEBHOOK }} metkit-1.22.0/.github/workflows/pymetkit.yml0000664000175000017500000001145615263642712021262 0ustar alastairalastairname: Build and Test PyMetkit on: # Trigger the workflow on push to master or develop, except tag creation push: branches: - 'master' - 'develop' tags-ignore: - '**' # Trigger the workflow on pull request pull_request: ~ # Trigger the workflow manually workflow_dispatch: ~ # Trigger after public PR approved for CI pull_request_target: types: [labeled] jobs: prepare-deps: runs-on: ubuntu-latest if: ${{ (success() || failure()) && (!github.event.pull_request.head.repo.fork && github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci') }} steps: - name: Get ecbuild uses: actions/checkout@v5 with: repository: ecmwf/ecbuild ref: develop path: ecbuild - name: Get stack-dependencies uses: actions/checkout@v5 with: repository: ecmwf/stack-dependencies ref: master path: stack-dependencies-src token: ${{ secrets.GH_REPO_READ_TOKEN }} submodules: recursive - name: Install dependencies run: | mkdir stack-dependencies-build stack-dependencies-src/build.sh --build-path stack-dependencies-build --install-path dependencies --with-deps libaec,pybind11 - name: Get eckit uses: actions/checkout@v5 with: repository: ecmwf/eckit ref: develop path: eckit-src - name: Install eckit run: | mkdir eckit-build cmake \ -B eckit-build \ -S eckit-src \ -GNinja \ -DCMAKE_INSTALL_PREFIX=dependencies \ -DCMAKE_PREFIX_PATH=dependencies \ -DCMAKE_BUILD_TYPE=RelWithDebInfo cmake --build eckit-build -j -t install - name: Get eccodes uses: actions/checkout@v5 with: repository: ecmwf/eccodes ref: develop path: eccodes-src - name: Install eccodes run: | mkdir eccodes-build cmake \ -B eccodes-build \ -S eccodes-src \ -GNinja \ -DCMAKE_INSTALL_PREFIX=dependencies \ -DCMAKE_PREFIX_PATH=dependencies \ -DCMAKE_BUILD_TYPE=RelWithDebInfo \ -DENABLE_MEMFS=ON \ -DENABLE_AEC=ON \ -DENABLE_ECKIT_GEO=ON cmake --build eccodes-build -j -t install - name: Archive with permissions preserved run: tar --zstd -cpf files.tar.zst dependencies/ ecbuild/ - name: Upload dependencies uses: actions/upload-artifact@v4 with: name: deps path: files.tar.zst retention-days: 1 build-wheels: needs: prepare-deps runs-on: ubuntu-latest if: ${{ (success() || failure()) && (!github.event.pull_request.head.repo.fork && github.event.action != 'labeled' || github.event.label.name == 'approved-for-ci') }} strategy: matrix: python-version: ['3.11', '3.12', '3.13', '3.14'] fail-fast: false # Continue running other versions if one fails steps: - name: Set up Python ${{ matrix.python-version }} uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} - name: Download dependencies uses: actions/download-artifact@v4 with: name: deps - name: Extract with zstd run: tar --zstd -xpf files.tar.zst - name: Get metkit uses: actions/checkout@v5 with: repository: ecmwf/metkit path: metkit-src - name: Display Python version run: python --version - name: Install python dependencies run: pip install -r metkit-src/python/requirements-build.txt - name: Build metkit run: | export PATH=$(pwd)/dependencies/bin:$PATH export ECCODES_HOME=$(pwd)/dependencies export FINDLIBS_DISABLE_PACKAGE=yes export FINDLIBS_DISABLE_PYTHON=yes export ECCODES_PYTHON_USE_FINDLIBS=1 mkdir metkit-build cmake \ -B metkit-build \ -S metkit-src \ -GNinja \ -DCMAKE_INSTALL_PREFIX=dependencies \ -DCMAKE_PREFIX_PATH=dependencies \ -DCMAKE_BUILD_TYPE=RelWithDebInfo \ -DENABLE_PYTHON_METKIT_INTERFACE=ON \ -DENABLE_MARS2GRIB=ON \ -DENABLE_MARS2MARS=ON cmake --build metkit-build -j cd metkit-build ctest -j $(nproc) --output-on-failure -L pymetkit - name: Upload wheel uses: actions/upload-artifact@v4 with: name: pymetkit-wheel-py${{ matrix.python-version }} path: "metkit-build/pymetkit-*.whl" retention-days: 10 if-no-files-found: error # 'warn' or 'ignore' are also available, defaults to `warn` metkit-1.22.0/.github/workflows/check-release-version.yml0000664000175000017500000000030715263642712023563 0ustar alastairalastairname: Check VERSION file on: push: branches: - "release/**" - "hotfix/**" jobs: check_version: uses: ecmwf/reusable-workflows/.github/workflows/check-release-version.yml@v2 metkit-1.22.0/.github/workflows/docs.yml0000664000175000017500000000515715263642712020345 0ustar alastairalastairname: Publish Documentation to sites.ecmwf.int on: pull_request: types: [opened, synchronize, reopened, closed] push: branches: - 'develop' - 'master' tags: - '**' jobs: build-metkit: if: ${{ github.event_name == 'pull_request' && github.event.action != 'closed' || github.event_name == 'push'}} runs-on: ubuntu-latest outputs: artifact-id: ${{ steps.upload-doc.outputs.artifact-id }} steps: - name: Checkout uses: actions/checkout@v4 - name: Setup Python uses: actions/setup-python@v5 with: python-version: '3.13' - name: Install python dependencies run: | python -m pip install -r python/requirements-build.txt - name: Prepare Doxygen uses: ecmwf/reusable-workflows/setup-doxygen@main with: version: 1.14.0 - name: Build doc run: | DOCBUILD_OUTPUT=docs_out ./docs/build_docs.sh - name: Archive documentation id: upload-doc uses: actions/upload-artifact@v4 with: name: documentation-metkit path: docs_out/sphinx preview-publish-metkit: if: ${{ github.event_name == 'pull_request' && github.event.action != 'closed' }} needs: build-metkit uses: ecmwf/reusable-workflows/.github/workflows/pr-preview-publish.yml@main with: artifact-id: ${{ needs.build-metkit.outputs.artifact-id }} space: docs name: metkit path: pull-requests link-tag: PREVIEW-PUBLISH-METKIT link-text: 📋 Metkit Documentation 📋 secrets: sites-token: ${{ secrets.ECMWF_SITES_DOCS_METKIT_TOKEN }} preview-unpublish-metkit: if: ${{ github.event_name == 'pull_request' && github.event.action == 'closed' }} uses: ecmwf/reusable-workflows/.github/workflows/pr-preview-unpublish.yml@main with: space: docs name: metkit path: pull-requests secrets: sites-token: ${{ secrets.ECMWF_SITES_DOCS_METKIT_TOKEN }} publish-metkit: if: >- ${{ github.event_name == 'push' && ( github.ref_name == 'develop' || github.ref_name == 'master' || github.ref_type == 'tag' ) }} needs: build-metkit uses: ecmwf/reusable-workflows/.github/workflows/docs-publish.yml@main with: artifact-id: ${{ needs.build-metkit.outputs.artifact-id }} space: docs name: metkit path: "" id: ${{ github.ref_name }} softlink: ${{ github.ref_name == 'master' && 'stable' || github.ref_name == 'develop' && 'latest' }} secrets: sites-token: ${{ secrets.ECMWF_SITES_DOCS_METKIT_TOKEN }} metkit-1.22.0/.github/workflows/build-wheel-wrapper.yml0000664000175000017500000000140315263642712023262 0ustar alastairalastair# (C) Copyright 2024- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. name: Build Python Wrapper Wheel on: # Trigger the workflow manually workflow_dispatch: ~ # Allow to be called from another workflow -- eg `cd.yml` workflow_call: ~ jobs: python-wrapper-wheel: name: Python Wrapper Wheel uses: ecmwf/reusable-workflows/.github/workflows/python-wrapper-wheel.yml@main with: wheel_directory: python/metkitlib secrets: inherit metkit-1.22.0/.github/workflows/label-public-pr.yml0000664000175000017500000000034315263642712022357 0ustar alastairalastair# Manage labels of pull requests that originate from forks name: label-public-pr on: pull_request_target: types: [opened, synchronize] jobs: label: uses: ecmwf/reusable-workflows/.github/workflows/label-pr.yml@v2 metkit-1.22.0/.github/workflows/sync.yml0000664000175000017500000000115115263642712020357 0ustar alastairalastairname: sync # Controls when the workflow will run on: # Trigger the workflow on all pushes push: branches: - '**' tags: - '**' # Trigger the workflow when a branch or tag is deleted delete: ~ jobs: # Calls a reusable CI workflow to sync the current with a remote repository. # It will correctly handle addition of any new and removal of existing Git objects. sync: name: sync uses: ecmwf/reusable-workflows/.github/workflows/sync.yml@v2 secrets: target_repository: ecsdk/metkit target_username: ClonedDuck target_token: ${{ secrets.BITBUCKET_PAT }} metkit-1.22.0/.github/workflows/cd.yml0000664000175000017500000000037215263642712017775 0ustar alastairalastairname: cd on: push: tags: - '**' jobs: deploy: uses: ecmwf/reusable-workflows/.github/workflows/create-package.yml@v2 secrets: inherit wheel-wrapper: uses: ./.github/workflows/build-wheel-wrapper.yml secrets: inherit metkit-1.22.0/ruff.toml0000664000175000017500000000005315263642712015122 0ustar alastairalastairtarget-version = "py310" line-length = 120 metkit-1.22.0/tests/0000775000175000017500000000000015263642712014427 5ustar alastairalastairmetkit-1.22.0/tests/test_odbsplitter.cc0000664000175000017500000000755215263642712020341 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ #include "eckit/io/BufferList.h" #include "eckit/io/FileHandle.h" #include "eckit/message/Reader.h" #include "eckit/testing/Test.h" #include using namespace eckit::testing; namespace metkit { namespace grib { namespace test { //---------------------------------------------------------------------------------------------------------------------- class NonSeekFileHandle : public eckit::FileHandle { using eckit::FileHandle::FileHandle; bool canSeek() const override { return false; } eckit::Offset seek(const eckit::Offset&) override { NOTIMP; } }; //---------------------------------------------------------------------------------------------------------------------- CASE("read multiple matched odb frames") { // This ODB is formed of two frames with matched metadata. We should read both frames into // one message. eckit::Buffer msgdata; { NonSeekFileHandle fh("multiodb.odb"); fh.openForRead(); eckit::AutoClose closer(fh); eckit::message::Reader reader(fh); eckit::message::Message msg; msg = reader.next(); ASSERT(msg); msgdata = eckit::Buffer{msg.data(), msg.length()}; // There is only one Message in the file msg = reader.next(); EXPECT(!msg); } // And read the data in in one blob eckit::Buffer comparedata; { NonSeekFileHandle fh("multiodb.odb"); fh.openForRead(); eckit::AutoClose closer(fh); size_t expected_size = fh.size(); comparedata.resize(expected_size); EXPECT(expected_size > 0); EXPECT_EQUAL(fh.read(comparedata.data(), expected_size), expected_size); } EXPECT_EQUAL(comparedata.size(), msgdata.size()); EXPECT_EQUAL(::memcmp(comparedata.data(), msgdata.data(), comparedata.size()), 0); eckit::Log::info() << "odb size: " << msgdata.size() << std::endl; } CASE("read multiple matched odb frames") { // This ODB file is formed of four frames. Two pairs of matched metadata. This should be deconstructed into // two messages. eckit::BufferList msgdata; { eckit::FileHandle fh("multiodb2.odb"); fh.openForRead(); eckit::AutoClose closer(fh); eckit::message::Reader reader(fh); eckit::message::Message msg; for (int i = 0; i < 2; ++i) { msg = reader.next(); ASSERT(msg); msgdata.append(eckit::Buffer{msg.data(), msg.length()}); } // There is only one Message in the file msg = reader.next(); EXPECT(!msg); } // And read the data in in one blob eckit::Buffer comparedata; { eckit::FileHandle fh("multiodb2.odb"); fh.openForRead(); eckit::AutoClose closer(fh); size_t expected_size = fh.size(); comparedata.resize(expected_size); EXPECT(expected_size > 0); EXPECT_EQUAL(fh.read(comparedata.data(), expected_size), expected_size); } eckit::Buffer combineddata = msgdata.consolidate(); EXPECT_EQUAL(comparedata.size(), combineddata.size()); EXPECT_EQUAL(::memcmp(comparedata.data(), combineddata.data(), combineddata.size()), 0); eckit::Log::info() << "odb size: " << combineddata.size() << std::endl; } //---------------------------------------------------------------------------------------------------------------------- } // namespace test } // namespace grib } // namespace metkit int main(int argc, char** argv) { return run_tests(argc, argv); } metkit-1.22.0/tests/sol.grib0000664000175000017500000001604015263642712016072 0ustar alastairalastairGRIBb$ ( 5659 @( Z#Z#q $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($ " @* 7777GRIBb$ ( 5659 @( Z#Z#q $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($ " @* 7777GRIBb$ ( 5659 @( Z#Z#q $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($ " @* 7777GRIBb$ ( 5659 @( Z#Z#q $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPTX\`dhlptx|  $(,048<@DHLPPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($  |xtplhd`\XTPLHD@<840,($ " @* 7777metkit-1.22.0/tests/regressions/0000775000175000017500000000000015263642712016772 5ustar alastairalastairmetkit-1.22.0/tests/regressions/CMakeLists.txt0000664000175000017500000000017715263642712021537 0ustar alastairalastairif (HAVE_BUILD_TOOLS) # test scripts use the metkit tools add_subdirectory(METK-89) add_subdirectory(METK-103) endif() metkit-1.22.0/tests/regressions/METK-103/0000775000175000017500000000000015263642712020033 5ustar alastairalastairmetkit-1.22.0/tests/regressions/METK-103/corrupted0000664000175000017500000010402215263642712021764 0ustar alastairalastairBUFRb!4~hbDif7anA.d jF Fr (!E,p @ ` 0(bP @(`` &(P0@@ (Q0D@ 0`@ 0(`  $J0p `8 pH`:8xp $J8 ` @ H` @@ `  .@`` >@ ` &$H @@ $H(X A $"HH!@B $2Hh!C  $BH"@D (P @P  (P,`@ ($PLAP (4PlA !(DP BP ,X(``  ,X0h` ,&XPa` ,6Xpa ",FX(b` 0 `8   0`8x  0*`X  0:`x  $0J`8@  4 h8A   4h8xB  4*hXиC  4:hxD  $4Jh8 8 p8  8p8x  8*pX  8:px $8Jp8„t)!ѤCHJ":D:u)!դCHZ"zD;v)!٤CHj"D;w)!ݤCHz"D<x)!CH":D"D|T#$GH&}"MD4Ih$$IHL&"MBD5Ij$$IH\&"MD6Il$$IHl&"MD7In$$IH|&"ND8Ip$$IH'"NBD9Ir%ϤKHB."]DDt%ӤKHR."]ZDĉu%פKHb."]DDv%ۤKHr."]Dĉw%ߤKH/ "^DDx%KH/)"^ZDĉ hR&$MHH6"m2Dt jR&$MHX6"mrD lR&$MHh6"mDt nR&$MHx6"mD pR&$MH7"n2Dt rR&$MH>"}D4R'$OHP>"}RDR'$OH`>"}D4R'$OHp>"}DR'$OH?"~D4R'$OH?%"~RDR($QHHF"2Et5 jR($QHXF"rE6 lR($QHhF"Et7 nR($QHxF"E8 pR($QHG"2Et9 rR($QHG5"rE:4tR)$SHPN"RE:uR)$SH`N"E;4vR)$SHpN"E;wR)$SHO"E<4xR)$SHO%"REF|D3gHT#MbFԍ5k4$iHd#MFT6m4$iHt#MFԍ7o4$iHӄ #N"FT85$kH\#]FvI5$kHl#]FwI5$kH|#^FxI5$kH^#mF$im6ڤmHn#mFۤio6ޤmH~#n F$iq7$oHh#}Ft R7$oHx#}F R7$oHh#Gt7 nR8$qHx#G8 pR8$qHl#G;wI9$sH|#G<xIm:$uHt#G[Ԏo:$uH넑#G{i;ޤwH~# G|$7In<$yH|#G8I=${H|#GxIo>ޤ}H~# G$?ߤH $ H8) pAःI -!݇BD[~X%`{(BBD@x-?-}܅:DB"q y )<$W!;# hZ>[vtDO9#?p-PT^ &Z%G ^!!$\{ A HE`g|I! 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Xg@10?9@q9'qqQ?1x~61?!L??q |~2Gј/~?D/?><|_?ǃ'O/~>>3? cψ?# /c|?G1?>?,c?q<{|o<xq|||???xy~)ǃ`# |h?~??x|a_??`<#?~xp<#Gh#?o"|???###GA?#?D #??#/<?G?#~8??<|CCCCmetkit-1.22.0/tests/netcdf/simple_two_way_merge.sh0000775000175000017500000000124315263642712022452 0ustar alastairalastair#!/bin/bash set -eaux ncgen -b - < #include #include #include #include #include #include "eckit/testing/Test.h" #include "eckit/types/Date.h" #include "eckit/utils/StringTools.h" #include "eckit/utils/Tokenizer.h" #include "metkit/mars/MarsParser.h" #include "metkit/mars/MarsRequest.h" #include "metkit/mars/Type.h" namespace metkit::mars::test { namespace { using ExpectedVals = std::map>; } //----------------------------------------------------------------------------- void filter(MarsRequest& r, const MarsRequest& f, const ExpectedVals& expected, const std::vector dates) { r.filter(f); for (const auto& e : expected) { if (!r.has(e.first)) { std::cerr << eckit::Colour::red << "Missing keyword: " << e.first << eckit::Colour::reset << std::endl; } EXPECT(r.has(e.first)); auto vv = r.values(e.first); if (e.first != "date") { // dates are verified at a later stage EXPECT_EQUAL(e.second.size(), vv.size()); } for (int i = 0; i < vv.size(); i++) { if (e.first == "grid") { EXPECT_EQUAL(eckit::StringTools::upper(e.second.at(i)), vv.at(i)); } else { EXPECT_EQUAL(e.second.at(i), vv.at(i)); } } } if (dates.size() > 0) { EXPECT(r.has("date")); auto dd = r.values("date"); EXPECT_EQUAL(dates.size(), dd.size()); for (int i = 0; i < dates.size(); i++) { long d = dates.at(i); if (d < 0) { eckit::Date day(d); d = day.yyyymmdd(); } EXPECT_EQUAL(std::to_string(d), dd.at(i)); } } } void filter(const std::string& text, const std::string& filter_text, const ExpectedVals& expected, std::vector dates, bool strict = true) { MarsRequest r = MarsRequest::parse(text, strict); std::string f_text = "filter," + filter_text; std::istringstream in(f_text); metkit::mars::MarsParser parser(in); std::vector f = parser.parse(); ASSERT(f.size() == 1); filter(r, f[0], expected, std::move(dates)); } void expand(const std::string& text, const std::string& filter_text, const std::string& expected, bool strict = true, std::vector dates = {}) { ExpectedVals out; eckit::Tokenizer c(","); eckit::Tokenizer e("="); eckit::Tokenizer s("/"); eckit::StringList tokens; c(expected, tokens); std::string verb; for (const auto& t : tokens) { if (verb.empty()) { verb = eckit::StringTools::lower(t); continue; } auto tt = eckit::StringTools::trim(t); eckit::StringList kv; e(tt, kv); EXPECT_EQUAL(2, kv.size()); auto key = eckit::StringTools::lower(eckit::StringTools::trim(kv[0])); if (key == "date") { EXPECT_EQUAL(0, dates.size()); } eckit::StringList vals; s(kv[1], vals); std::vector vv; for (auto v : vals) { auto val = eckit::StringTools::trim(v); if (key != "source" && key != "target") { val = eckit::StringTools::lower(val); } if (key == "date") { dates.push_back(std::stol(val)); } else { vv.push_back(val); } } if (key != "date") { out.emplace(key, vv); } } MarsRequest r = MarsRequest::parse(text, strict); std::string f_text = "filter," + filter_text; std::istringstream in(f_text); metkit::mars::MarsParser parser(in); std::vector f = parser.parse(); ASSERT(f.size() == 1); filter(r, f[0], out, std::move(dates)); } CASE("day") { const char* text = "ret,date=20250301/to/20250306"; const char* filter_text = "day=1/3/5/7/9/11/13/15/17/19/21/23/25/27/29/31"; ExpectedVals expected{{"class", {"od"}}, {"domain", {"g"}}, {"expver", {"0001"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"levtype", {"pl"}}, {"param", {"129"}}, {"step", {"0"}}, {"stream", {"oper"}}, {"time", {"1200"}}, {"type", {"an"}}}; filter(text, filter_text, expected, {20250301, 20250303, 20250305}); } //----------------------------------------------------------------------------- } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_mars_language.cc0000664000175000017500000000365615263642712020614 0ustar alastairalastair #include #include "eckit/testing/Test.h" #include "metkit/mars/MarsLanguage.h" namespace metkit::mars::test { CASE("retrieve_best_match_param_matching") { const auto& language = MarsLanguage::get("retrieve"); // Strict is defaulted to true and this is not matching auto match = language.bestMatch("parameter", {"parameter"}, false, false, false, {}); EXPECT_EQUAL(match, "parameter"); }; CASE("retrieve_best_match_param_not_matching") { const auto& language = MarsLanguage::get("retrieve"); // Strict is defaulted to true and this is not matching auto match = language.bestMatch("param", {"parameter"}, false, false, false, {}); EXPECT_EQUAL(match, "parameter"); auto empty = language.bestMatch("param", {"car"}, false, false, false, {}); EXPECT_EQUAL(empty, ""); }; CASE("retrieve_best_match_param_not_matching_throw") { const auto& language = MarsLanguage::get("retrieve"); // Strict is defaulted to true and this is not matching auto match = language.bestMatch("param", {"parameter"}, true, false, false, {}); EXPECT_EQUAL(match, "parameter"); EXPECT_THROWS(language.bestMatch("param", {"car"}, true, false, false, {})); }; CASE("retrieve_best_match_param_not_matching") { const auto& language = MarsLanguage::get("retrieve"); // Strict is defaulted to true and this is not matching auto match = language.bestMatch("param", {"parameter"}, false, false, true, {}); EXPECT_EQUAL(match, "parameter"); match = language.bestMatch("par", {"parameter"}, false, false, true, {}); EXPECT_EQUAL(match, "parameter"); match = language.bestMatch("par", {"car"}, false, false, true, {}); EXPECT_EQUAL(match, ""); }; } // namespace metkit::mars::test int main(int argc, char** argv) { putenv("METKIT_LANGUAGE_STRICT_MODE=0"); auto res = eckit::testing::run_tests(argc, argv); unsetenv("METKIT_LANGUAGE_STRICT_MODE"); return res; } metkit-1.22.0/tests/test_typesfactory.cc0000664000175000017500000000324715263642712020537 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_typesfactory.cc /// @author Simon Smart /// @date April 2017 #include #include #include #include "eckit/testing/Test.h" #include "eckit/value/Value.h" #include "metkit/mars/TypeDate.h" #include "metkit/mars/TypesFactory.h" namespace metkit::mars::test { //----------------------------------------------------------------------------- CASE("test_list_types") { std::stringstream ss; TypesFactory::list(ss); std::cout << ss.str() << std::endl; EXPECT_EQUAL(ss.str(), std::string("[any,date,enum,expver,float,integer,lowercase,mixed,param,range,regex,time,to-by-" "list,to-by-list-float,to-by-list-quantile]")); } CASE("test_build") { eckit::ValueMap settings; settings["type"] = "date"; Type* t1(TypesFactory::build("abcd", eckit::Value(settings))); EXPECT(t1 != 0); t1->attach(); // Check that we have obtained the correct type EXPECT(dynamic_cast(t1) != 0); // Clean up, taking into account that ~Type is protected. t1->detach(); } } // namespace metkit::mars::test //----------------------------------------------------------------------------- int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2mars/0000775000175000017500000000000015263642712016336 5ustar alastairalastairmetkit-1.22.0/tests/mars2mars/convert-mars-request/0000775000175000017500000000000015263642712022444 5ustar alastairalastairmetkit-1.22.0/tests/mars2mars/convert-mars-request/r10-lwwv.req0000664000175000017500000000015215263642712024552 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=lwwv,type=an,levtype=sfc,param=140229/140232 metkit-1.22.0/tests/mars2mars/convert-mars-request/r02b-sfc-bare-list.ref0000664000175000017500000000106115263642712026336 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=6,expver=0001,param=235326,domain=g,timespan=1h retrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=6,expver=0001,param=231001/237055/238055/231005,domain=g,timespan=fs retrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=6,expver=0001,param=237055/238055,domain=g,timespan=3h/6h retrieve,class=od,type=fc,stream=oper,levtype=hl,date=20260901,time=0000,step=6,expver=0001,param=131/132/10,domain=g,timespan=none,levelist=200/100 metkit-1.22.0/tests/mars2mars/convert-mars-request/g04-sol.ref0000664000175000017500000000042015263642712024323 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sol,date=20260901,time=0000,step=6,expver=0001,param=260199,domain=g,levelist=1/2/3/4,timespan=none retrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=6,expver=0001,param=167,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/g03-ml-lnsp.req0000664000175000017500000000020215263642712025120 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=ml,levelist=1/to/137,param=152/130/133,step=0/6 metkit-1.22.0/tests/mars2mars/convert-mars-request/r13b-tp.ref0000664000175000017500000000053715263642712024337 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=0/6,expver=0001,param=167,area=70/-30/30/40,grid=.25/.25,target=out.grib,domain=g,timespan=none retrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=0/6,expver=0001,param=228228,area=70/-30/30/40,grid=.25/.25,target=out.grib,domain=g,timespan=fs metkit-1.22.0/tests/mars2mars/convert-mars-request/r03b-postproc-short.req0000664000175000017500000000021715263642712026727 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=pl,levelist=500,param=130,step=0,packing=so,interpolation=nn metkit-1.22.0/tests/mars2mars/convert-mars-request/g11-mixed-accum.req0000664000175000017500000000020515263642712025734 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,param=228/143/142/167/49/121/122,step=0/3/6/12 metkit-1.22.0/tests/mars2mars/convert-mars-request/g07-enfo-sfc-mixed.ref0000664000175000017500000000066315263642712026346 0ustar alastairalastairretrieve,class=od,type=pf,stream=enfo,levtype=sfc,date=20260901,time=0000,step=6/12,expver=0001,number=1/2/3,param=167/228164,domain=g,timespan=none retrieve,class=od,type=pf,stream=enfo,levtype=sfc,date=20260901,time=0000,step=6/12,expver=0001,number=1/2/3,param=228228,domain=g,timespan=fs retrieve,class=od,type=pf,stream=enfo,levtype=sfc,date=20260901,time=0000,step=6/12,expver=0001,number=1/2/3,param=237167,domain=g,timespan=6h metkit-1.22.0/tests/mars2mars/convert-mars-request/r04b-step-ranges.req0000664000175000017500000000017115263642712026151 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=enfo,type=ep,levtype=sfc,param=131060,step=0-24/12-36/24-48 metkit-1.22.0/tests/mars2mars/convert-mars-request/r09-order.ref0000664000175000017500000000061315263642712024665 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=6,expver=0001,param=167/165,domain=g,timespan=none retrieve,class=od,type=fc,stream=oper,levtype=hl,date=20260901,time=0000,step=6,expver=0001,param=131,domain=g,timespan=none,levelist=100 retrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=6,expver=0001,param=228228,domain=g,timespan=fs metkit-1.22.0/tests/mars2mars/convert-mars-request/r10b-waef.req0000664000175000017500000000017215263642712024641 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=waef,type=pf,levtype=sfc,param=140229,number=1/to/3,step=0/6 metkit-1.22.0/tests/mars2mars/convert-mars-request/g10-two-requests.ref0000664000175000017500000000136115263642712026212 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=6,expver=0001,param=167,grid=1/1,target=a.grib,domain=g,timespan=none retrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=6,expver=0001,param=228228,grid=1/1,target=a.grib,domain=g,timespan=fs retrieve,step=12,param=165,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,expver=0001,domain=g,grid=1/1,target=a.grib,timespan=none retrieve,step=12,param=228143,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,expver=0001,domain=g,grid=1/1,target=a.grib,timespan=fs retrieve,levtype=pl,levelist=500,param=130,class=od,type=fc,stream=oper,date=20260901,time=0000,step=12,expver=0001,domain=g,target=a.grib,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/g06-enfo-pf.req0000664000175000017500000000022515263642712025100 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=enfo,type=pf,levtype=pl,levelist=850/500,param=130/131,number=1/to/10,step=0/to/24/by/6 metkit-1.22.0/tests/mars2mars/convert-mars-request/r13b-tp.req0000664000175000017500000000023615263642712024346 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,step=0/6,param=2t/tp,grid=0.25/0.25,area=70/-30/30/40,target="out.grib" metkit-1.22.0/tests/mars2mars/convert-mars-request/r12b-tf.req0000664000175000017500000000014015263642712024325 0ustar alastairalastairdisseminate,class=od,expver=0001,date=20260901,time=0000,stream=enfo,type=tf,step=0/to/240/by/6 metkit-1.22.0/tests/mars2mars/convert-mars-request/r13-grid-area.req0000664000175000017500000000024115263642712025410 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,step=0/6,param=2t/mx2t6,grid=0.25/0.25,area=70/-30/30/40,target="out.grib" metkit-1.22.0/tests/mars2mars/convert-mars-request/r12-mmsa-fcmonth.req0000664000175000017500000000020415263642712026144 0ustar alastairalastairdisseminate,class=od,expver=0001,date=20260901,time=0000,stream=mmsa,type=fcmean,levtype=sfc,param=167,fcmonth=1/2/3,number=0/to/50 metkit-1.22.0/tests/mars2mars/convert-mars-request/r02d-era5-csf.ref0000664000175000017500000000021415263642712025311 0ustar alastairalastairretrieve,class=ea,type=fc,stream=oper,levtype=sfc,date=20260101,time=0600,step=6,expver=0001,param=231057/231058/229,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/r05-large.req0000664000175000017500000000042715263642712024656 0ustar alastairalastairdisseminate,class=od,expver=0001,date=20260901,time=0000,stream=enfo,type=pf,levtype=pl,levelist=1000/975/950/925/900/875/850/825/800/775/750/700/650/600/550/500/450/400/350/300/250/225/200/175/150,param=129/130/131/132/133/135/138/155/157/60/3,number=1/to/50,step=0/to/360/by/1 metkit-1.22.0/tests/mars2mars/convert-mars-request/r02b-sfc-bare-list.req0000664000175000017500000000023615263642712026354 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,param=51/216/222/223/224/225/226/227/239/240/241/246/247/249/251,step=6 metkit-1.22.0/tests/mars2mars/convert-mars-request/r03-postproc.ref0000664000175000017500000000030215263642712025410 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=pl,date=20260901,time=0000,step=0,expver=0001,levelist=500,param=130,interpolation=nearest-neighbour,packing=so,domain=g,timespan=none,password=xyz metkit-1.22.0/tests/mars2mars/convert-mars-request/r01-wave-bare.ref0000664000175000017500000000020115263642712025404 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=0,expver=0001,param=140229,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/g07-enfo-sfc-mixed.req0000664000175000017500000000020315263642712026347 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=enfo,type=pf,levtype=sfc,param=167/228/121/164,number=1/2/3,step=6/12 metkit-1.22.0/tests/mars2mars/convert-mars-request/r02e-pl-unchanged.req0000664000175000017500000000017315263642712026271 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=pl,levelist=500,param=130/131/246,step=6 metkit-1.22.0/tests/mars2mars/convert-mars-request/r02-sfc-bare-246.req0000664000175000017500000000014715263642712025553 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,param=246,step=6 metkit-1.22.0/tests/mars2mars/convert-mars-request/r03-postproc.req0000664000175000017500000000026515263642712025433 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=pl,levelist=500,param=130,step=0,packing=second_order,interpolation=nearest_neighbour,password=xyz metkit-1.22.0/tests/mars2mars/convert-mars-request/g04-sol.req0000664000175000017500000000016315263642712024342 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,param=39/40/41/42/167,step=6 metkit-1.22.0/tests/mars2mars/convert-mars-request/r02-sfc-bare-246.ref0000664000175000017500000000021215263642712025531 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=hl,date=20260901,time=0000,step=6,expver=0001,param=131,domain=g,timespan=none,levelist=100 metkit-1.22.0/tests/mars2mars/convert-mars-request/r13c-100u.req0000664000175000017500000000017415263642712024412 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,step=0/6,param=2t/100u,grid=0.25/0.25 metkit-1.22.0/tests/mars2mars/convert-mars-request/g13-disseminate.ref0000664000175000017500000000033615263642712026041 0ustar alastairalastairdisseminate,class=od,type=pf,stream=enfo,levtype=pl,date=20260901,time=0000,step=0/6/12,expver=0001,number=1/2/3/4/5,levelist=850/500,param=130/131,area=70/-30/30/40,grid=1/1,requirements=abc,use=bc,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/g10-two-requests.req0000664000175000017500000000032715263642712026226 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,param=167/228,step=6,grid=1/1,target="a.grib" retrieve,param=165/143,step=12 retrieve,param=130,levtype=pl,levelist=500,grid=off metkit-1.22.0/tests/mars2mars/convert-mars-request/g13-disseminate.req0000664000175000017500000000031215263642712026046 0ustar alastairalastairdisseminate,class=od,expver=0001,date=20260901,time=0000,stream=enfo,type=pf,levtype=pl,levelist=850/500,param=130/131,number=1/to/5,step=0/to/12/by/6,area=70/-30/30/40,grid=1/1,use=bc,requirements=abc metkit-1.22.0/tests/mars2mars/convert-mars-request/r03c-invalid-postproc.req0000664000175000017500000000021415263642712027214 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=pl,levelist=500,param=130,step=0,packing=foo,password=xyz metkit-1.22.0/tests/mars2mars/convert-mars-request/r10-lwwv.ref0000664000175000017500000000021015263642712024532 0ustar alastairalastairretrieve,class=od,type=an,stream=lwda,levtype=sfc,date=20260901,time=0000,expver=0001,param=140229/140232,step=0,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/r04-step-range.ref0000664000175000017500000000020115263642712025603 0ustar alastairalastairretrieve,class=od,type=ep,stream=enfo,levtype=sfc,date=20260901,time=0000,step=24,expver=0001,param=131060,domain=g,timespan=24h metkit-1.22.0/tests/mars2mars/convert-mars-request/r01-wave-bare.req0000664000175000017500000000014715263642712025430 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=wave,type=fc,levtype=sfc,param=229,step=0 metkit-1.22.0/tests/mars2mars/convert-mars-request/r10b-waef.ref0000664000175000017500000000022015263642712024620 0ustar alastairalastairretrieve,class=od,type=pf,stream=enfo,levtype=sfc,date=20260901,time=0000,step=0/6,expver=0001,number=1/2/3,param=140229,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/r08-levelist-all.ref0000664000175000017500000000022615263642712026146 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=pl,date=20260901,time=0000,step=0,expver=0001,levelist=all,param=130/131/132/157,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/r04-step-range.req0000664000175000017500000000015515263642712025626 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=enfo,type=ep,levtype=sfc,param=131060,step=0-24 metkit-1.22.0/tests/mars2mars/convert-mars-request/r02e-pl-unchanged.ref0000664000175000017500000000022215263642712026251 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=pl,date=20260901,time=0000,step=6,expver=0001,levelist=500,param=130/131/246,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/g06-enfo-pf.ref0000664000175000017500000000027115263642712025066 0ustar alastairalastairretrieve,class=od,type=pf,stream=enfo,levtype=pl,date=20260901,time=0000,step=0/6/12/18/24,expver=0001,number=1/2/3/4/5/6/7/8/9/10,levelist=850/500,param=130/131,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/r13-grid-area.ref0000664000175000017500000000053715263642712025405 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=0/6,expver=0001,param=167,area=70/-30/30/40,grid=.25/.25,target=out.grib,domain=g,timespan=none retrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=0/6,expver=0001,param=237167,area=70/-30/30/40,grid=.25/.25,target=out.grib,domain=g,timespan=6h metkit-1.22.0/tests/mars2mars/convert-mars-request/r02c-explicit-128.req0000664000175000017500000000015715263642712026055 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,param=246.128/229,step=6 metkit-1.22.0/tests/mars2mars/convert-mars-request/r08-levelist-all.req0000664000175000017500000000017715263642712026166 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=pl,levelist=all,param=130/131/132/157,step=0 metkit-1.22.0/tests/mars2mars/convert-mars-request/r04b-step-ranges.ref0000664000175000017500000000020715263642712026136 0ustar alastairalastairretrieve,class=od,type=ep,stream=enfo,levtype=sfc,date=20260901,time=0000,step=24/36/48,expver=0001,param=131060,domain=g,timespan=24h metkit-1.22.0/tests/mars2mars/convert-mars-request/r09-order.req0000664000175000017500000000016615263642712024703 0ustar alastairalastairretrieve,class=od,expver=0001,date=20260901,time=0000,stream=oper,type=fc,levtype=sfc,param=167/228246/228/165,step=6 metkit-1.22.0/tests/mars2mars/convert-mars-request/g11-mixed-accum.ref0000664000175000017500000000065315263642712025730 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=0/3/6/12,expver=0001,param=228228/228143/3062/237318,domain=g,timespan=fs retrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=0/3/6/12,expver=0001,param=167,domain=g,timespan=none retrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=0/3/6/12,expver=0001,param=237167/238167,domain=g,timespan=6h metkit-1.22.0/tests/mars2mars/convert-mars-request/r12b-tf.ref0000664000175000017500000000036715263642712024325 0ustar alastairalastairdisseminate,class=od,type=tf,stream=enfo,date=20260901,time=0000,step=0/6/12/18/24/30/36/42/48/54/60/66/72/78/84/90/96/102/108/114/120/126/132/138/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/240,expver=0001,levtype=pl,domain=g metkit-1.22.0/tests/mars2mars/convert-mars-request/r13c-100u.ref0000664000175000017500000000044615263642712024401 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=0/6,expver=0001,param=167,grid=.25/.25,domain=g,timespan=none retrieve,class=od,type=fc,stream=oper,levtype=hl,date=20260901,time=0000,step=0/6,expver=0001,param=131,grid=.25/.25,domain=g,timespan=none,levelist=100 metkit-1.22.0/tests/mars2mars/convert-mars-request/g03-ml-lnsp.ref0000664000175000017500000000111015263642712025104 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=ml,date=20260901,time=0000,step=0/6,expver=0001,levelist=1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/82/83/84/85/86/87/88/89/90/91/92/93/94/95/96/97/98/99/100/101/102/103/104/105/106/107/108/109/110/111/112/113/114/115/116/117/118/119/120/121/122/123/124/125/126/127/128/129/130/131/132/133/134/135/136/137,param=152/130/133,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/r03b-postproc-short.ref0000664000175000017500000000026515263642712026717 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=pl,date=20260901,time=0000,step=0,expver=0001,levelist=500,param=130,interpolation=nearest-neighbour,packing=so,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/convert-mars-request/r12-mmsa-fcmonth.ref0000664000175000017500000000042715263642712026140 0ustar alastairalastairdisseminate,class=od,type=fcmean,stream=mmsa,levtype=sfc,date=20260901,time=0000,fcmonth=1/2/3,expver=0001,number=0/1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50,param=171167,domain=g metkit-1.22.0/tests/mars2mars/convert-mars-request/r02d-era5-csf.req0000664000175000017500000000015715263642712025332 0ustar alastairalastairretrieve,class=ea,expver=0001,date=20260101,time=0600,stream=oper,type=fc,levtype=sfc,param=239/240/229,step=6 metkit-1.22.0/tests/mars2mars/convert-mars-request/r02c-explicit-128.ref0000664000175000017500000000020215263642712026031 0ustar alastairalastairretrieve,class=od,type=fc,stream=oper,levtype=sfc,date=20260901,time=0000,step=6,expver=0001,param=246/229,domain=g,timespan=none metkit-1.22.0/tests/mars2mars/CMakeLists.txt0000664000175000017500000000155515263642712021104 0ustar alastairalastairconfigure_file( ${CMAKE_CURRENT_SOURCE_DIR}/mars2mars-test-requests.mars ${CMAKE_CURRENT_BINARY_DIR}/mars2mars-test-requests.mars COPYONLY ) ecbuild_add_test( TARGET mars2mars-test-01 SOURCES mars2mars-test-01.cc NO_AS_NEEDED LIBS eckit metkit ) ecbuild_add_test( TARGET mars2mars-test-02 SOURCES mars2mars-test-02.cc NO_AS_NEEDED LIBS eckit metkit ) ecbuild_add_test( TARGET mars2mars-test-03 SOURCES mars2mars-test-03.cc NO_AS_NEEDED LIBS eckit metkit ) if( HAVE_BUILD_GRIB2_TOOLS ) ecbuild_configure_file( convert-mars-request.sh.in convert-mars-request.sh @ONLY ) ecbuild_add_test( TARGET convert-mars-request TYPE SCRIPT COMMAND convert-mars-request.sh ) endif() metkit-1.22.0/tests/mars2mars/mars2mars-test-01.cc0000664000175000017500000000426515263642712021756 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include #include "eckit/log/CodeLocation.h" #include "eckit/testing/Test.h" #include "metkit/mars/MarsExpansion.h" #include "metkit/mars/MarsRequest.h" #include "metkit/mars2mars/api/Mars2Mars.h" #include "metkit/mars2mars/utils/dictionary_traits/dictaccess_mars_request.h" #include "metkit/mars2mars/utils/dictionary_traits/dictionary_access_traits.h" #include "metkit/mars2mars/utils/mars2marsExceptions.h" namespace { metkit::mars::MarsRequest generateMarsRequest() { metkit::mars::MarsRequest mars; mars.verb("retrieve"); // String-only keys mars.setValue("class", "od"); mars.setValue("stream", "oper"); mars.setValue("type", "fc"); mars.setValue("expver", "1"); mars.setValue("date", "2026-02-09"); mars.setValue("time", "00:00:00"); mars.setValue("levtype", "sfc"); // Explicit scalar conversions supported by the MarsRequest trait mars.setValue("param", "261018"); mars.setValue("step", "0"); metkit::mars::MarsExpansion expand(true, true); mars = expand.expand(mars); return mars; } } // namespace CASE("mars2mars_marsrequest_convert_to_json") { using metkit::mars2mars::Mars2Mars; using metkit::mars2mars::utils::dict_traits::dict_to_json; try { metkit::mars::MarsRequest marsRequest = generateMarsRequest(); const auto [converted, misc] = Mars2Mars{}.convert(marsRequest); const std::string json = dict_to_json(converted); std::cout << json << std::endl; EXPECT(!json.empty()); } catch (const std::exception& e) { throw std::runtime_error(std::string("Test failed with exception: ") + e.what()); } } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); }metkit-1.22.0/tests/mars2mars/mars2mars-test-03.cc0000664000175000017500000001130415263642712021750 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file mars2mars-test-03.cc /// @brief The wave streams are converted to their atmospheric counterparts. #include #include #include #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/mars2mars/api/Mars2Mars.h" namespace { eckit::LocalConfiguration waveRequest(const std::string& stream, const std::string& type) { eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", stream); mars.set("type", type); mars.set("expver", "0001"); mars.set("date", 20261001L); mars.set("time", 0L); mars.set("levtype", "sfc"); mars.set("param", 140229L); mars.set("step", 24L); if (type == "pf") { mars.set("number", 4L); } if (stream == "enwh" || stream == "weeh") { mars.set("hdate", 20201001L); } return mars; } std::string convertedStream(const eckit::LocalConfiguration& in) { try { return metkit::mars2mars::Mars2Mars{}.convert(in).mars.getString("stream"); } catch (const std::exception& e) { throw std::runtime_error(std::string("Test failed with exception: ") + e.what()); } } } // namespace CASE("wave is converted to oper") { EXPECT_EQUAL(convertedStream(waveRequest("wave", "fc")), "oper"); } CASE("waef is converted to enfo") { EXPECT_EQUAL(convertedStream(waveRequest("waef", "pf")), "enfo"); } CASE("enwh is converted to enfh, keeping hdate and number") { const auto in = waveRequest("enwh", "pf"); const auto converted = metkit::mars2mars::Mars2Mars{}.convert(in).mars; EXPECT_EQUAL(converted.getString("stream"), "enfh"); EXPECT_EQUAL(converted.getString("type"), "pf"); EXPECT_EQUAL(converted.getLong("hdate"), 20201001L); EXPECT_EQUAL(converted.getLong("number"), 4L); EXPECT_EQUAL(converted.getLong("param"), 140229L); } CASE("enwh cf is converted to enfh") { EXPECT_EQUAL(convertedStream(waveRequest("enwh", "cf")), "enfh"); } CASE("weef is converted to eefo") { EXPECT_EQUAL(convertedStream(waveRequest("weef", "pf")), "eefo"); EXPECT_EQUAL(convertedStream(waveRequest("weef", "cf")), "eefo"); } CASE("weeh is converted to eefh, keeping hdate and number") { const auto in = waveRequest("weeh", "pf"); const auto converted = metkit::mars2mars::Mars2Mars{}.convert(in).mars; EXPECT_EQUAL(converted.getString("stream"), "eefh"); EXPECT_EQUAL(converted.getString("type"), "pf"); EXPECT_EQUAL(converted.getLong("hdate"), 20201001L); EXPECT_EQUAL(converted.getLong("number"), 4L); EXPECT_EQUAL(converted.getLong("param"), 140229L); } CASE("weeh cf is converted to eefh") { EXPECT_EQUAL(convertedStream(waveRequest("weeh", "cf")), "eefh"); } CASE("every wave stream is converted to its atmospheric counterpart") { const std::vector> streams{ {"wave", "oper"}, {"scwv", "scda"}, {"dcwv", "dcda"}, {"lwwv", "lwda"}, {"ewda", "enda"}, {"ewla", "elda"}, {"fsow", "fsob"}, {"waef", "enfo"}, {"enwh", "enfh"}, {"weef", "eefo"}, {"weeh", "eefh"}, {"ewho", "efho"}, {"weov", "efov"}, {"ewhc", "efhc"}, {"wehs", "efhs"}, {"wees", "eehs"}, {"wamo", "mnth"}, {"wamd", "moda"}, {"ewmm", "edmm"}, {"ewmo", "edmo"}, {"dacw", "dacl"}, }; for (const auto& stream : streams) { EXPECT_EQUAL(convertedStream(waveRequest(stream.first, "fc")), stream.second); } } CASE("legacy seasonal and monthly forecast wave streams, and streams without a counterpart, are unchanged") { for (const std::string stream : {"wasf", "swmm", "wams", "mswm", "mmaw", "mmwm", "wamf", "wmfm", "mnfw", "mfhw", "mfaw", "mfwm", "mhwm", "mawm", "mawv", "wvhc", "wavm"}) { EXPECT_EQUAL(convertedStream(waveRequest(stream, "fc")), stream); } } CASE("atmospheric streams are unchanged") { EXPECT_EQUAL(convertedStream(waveRequest("oper", "fc")), "oper"); EXPECT_EQUAL(convertedStream(waveRequest("enfo", "pf")), "enfo"); EXPECT_EQUAL(convertedStream(waveRequest("enfh", "pf")), "enfh"); EXPECT_EQUAL(convertedStream(waveRequest("eefo", "pf")), "eefo"); EXPECT_EQUAL(convertedStream(waveRequest("eefh", "pf")), "eefh"); } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2mars/convert-mars-request.sh.in0000775000175000017500000000267315263642712023420 0ustar alastairalastair#!/usr/bin/env bash # Regression tests for convert-mars-request: each .req in convert-mars-request/ is converted and the # output must match .ref exactly. set -eu yell() { printf "$(basename "$0"): \033[0;31m!!! %s !!!\033[0m\\n" "$*" >&2; } die() { yell "$*"; exit 1; } cmr="$" srcdir=@CMAKE_CURRENT_SOURCE_DIR@/convert-mars-request failed=0 for req in $srcdir/*.req; do name=$(basename $req .req) [[ -f $srcdir/$name.ref ]] || continue if ! $cmr --porcelain $req 2>&1 | grep -v "^Matching" | diff -u $srcdir/$name.ref - ; then yell "Unexpected output for $name" failed=1 fi done [[ $failed -eq 0 ]] || die "convert-mars-request output differs from the reference" # A request of ~5M fields must be converted without flattening it field by field out=$( (ulimit -v 2000000 && $cmr --porcelain $srcdir/r05-large.req) | grep -v "^Matching") [[ $(echo "$out" | wc -l) -eq 1 ]] || die "r05-large: expected a single output request" echo "$out" | grep -q "number=1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50" || die "r05-large: number list lost" # Post-processing keys known to the language are validated; unknown keys (password) pass through if $cmr --porcelain $srcdir/r03c-invalid-postproc.req > /dev/null 2>&1; then die "r03c-invalid-postproc: expected packing=foo to be rejected" fi metkit-1.22.0/tests/mars2mars/mars2mars-test-02.cc0000664000175000017500000000675015263642712021760 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include #include #include #include #include #include "eckit/testing/Test.h" #include "metkit/mars/MarsExpansion.h" #include "metkit/mars/MarsRequest.h" #include "metkit/mars2mars/api/Mars2Mars.h" #include "metkit/mars2mars/utils/dictionary_traits/dictaccess_mars_request.h" #include "metkit/mars2mars/utils/dictionary_traits/dictionary_access_traits.h" #ifndef MARS2MARS_TEST_REQUEST_FILE #define MARS2MARS_TEST_REQUEST_FILE "mars2mars-test-requests.mars" #endif namespace { const std::vector& mars2marsSplitKeys() { static const std::vector keys = { "class", "stream", "type", "expver", "levtype", "param", "levelist", "step", "date", "time", "number", "chem", "wavelength", "timespan", "hdate", }; return keys; } std::vector readRequestsFromFile(const std::string& path) { std::ifstream in(path); if (!in) { throw std::runtime_error("Cannot open MARS request file: " + path); } return metkit::mars::MarsRequest::parse(in); } std::vector flattenRequest(const metkit::mars::MarsRequest& request) { return request.split(mars2marsSplitKeys()); } std::string jsonArrayFromRequests(const std::vector& requests) { using metkit::mars2mars::utils::dict_traits::dict_to_json; std::ostringstream out; out << "[\n"; for (std::size_t i = 0; i < requests.size(); ++i) { out << " " << dict_to_json(requests[i]); if (i + 1 != requests.size()) { out << ","; } out << "\n"; } out << "]"; return out.str(); } } // namespace CASE("mars2mars_flatten_convert_append_to_json") { // try { using metkit::mars2mars::Mars2Mars; const std::string reqFileName = MARS2MARS_TEST_REQUEST_FILE; const std::vector requests = readRequestsFromFile(reqFileName); EXPECT(!requests.empty()); metkit::mars::MarsExpansion expand(true, true); Mars2Mars mars2mars; std::vector convertedPoints; for (const auto& request : requests) { const metkit::mars::MarsRequest expanded = expand.expand(request); const std::vector points = flattenRequest(expanded); EXPECT(!points.empty()); for (const auto& point : points) { const auto [converted, misc] = mars2mars.convert(point); convertedPoints.push_back(converted); } } EXPECT(!convertedPoints.empty()); const std::string outputJson = jsonArrayFromRequests(convertedPoints); std::cout << outputJson << std::endl; EXPECT(!outputJson.empty()); EXPECT_EQUAL(outputJson.front(), '['); EXPECT_EQUAL(outputJson.back(), ']'); // } // catch (const eckit::Exception& e) { // std::cerr << "Test failed with exception: " << e.what() << std::endl; // } } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); }metkit-1.22.0/tests/mars2mars/mars2mars-test-requests.mars0000664000175000017500000000421115263642712023755 0ustar alastairalastairretrieve, class=od, date=2026-02-09, expver=1, levtype=sfc, param=3.228/7.228/8.128/8.228/9.128/9.228/10.228/11.228/12.228/13.228/14.228/20.3/20.128/20.228/21.228/22.228/23.228/24.228/26.128/26.228/27.128/27.228/28.128/28.228/29.128/29.228/30.128/31.128/32.128/33.128/34.128/35.128/36.128/37.128/38.128/39.128/40.128/41.128/42.128/43.128/44.128/44.228/45.128/46.228/47.128/47.228/48.228/49.128/50.128/57.128/58.128/66.128/67.128/74.128/78.128/79.128/80.228/81.228/82.228/83.228/84.228/85.228/88.228/89.228/90.228/96.174/98.174/121.128/122.128/123.128/129.128/129.228/130.151/130.228/131.151/131.228/132.151/132.228/134.128/136.128/137.128/139.128/141.128/142.128/143.128/144.128/145.128/145.151/146.128/147.128/148.128/148.151/151.128/159.128/160.128/161.128/162.128/163.128/163.151/164.128/164.151/165.128/166.128/167.128/168.128/169.128/170.128/172.128/173.128/174.128/175.128/175.151/176.128/177.128/178.128/179.128/180.128/181.128/182.128/183.128/186.128/186.210/187.128/187.210/188.128/188.210/189.128/189.210/190.210/191.210/195.128/196.128/197.128/198.128/201.128/202.128/205.128/206.128/207.128/208.128/209.128/210.128/211.128/212.128/213.128/216.228/217.228/218.228/219.228/220.228/221.228/222.228/223.228/224.228/225.228/226.228/227.228/228.128/229.128/230.128/231.128/232.128/234.128/235.128/236.128/238.128/239.228/240.228/241.228/243.128/244.128/245.128/246.228/247.228/249.228/251.228/162071/162072/228035/228036/228045/228050/228051/228057/228058/228231/228232/228233/228234/228235/228236/228237/260004/260005/260015/260048/260109/260121/260123/260242/260255/260318/260319/260320/260321/260338/260339/261001/261002/261014/261015/261016/261018, step=0/1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/82/83/84/85/86/87/88/89/90/93/96/99/102/105/108/111/114/117/120/123/126/129/132/135/138/141/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/240/246/252/258/264/270/276/282/288/294/300/306/312/318/324/330/336/342/348/354/360, stream=oper, time=00:00:00/12:00:00, type=fcmetkit-1.22.0/tests/pl.grib0000664000175000017500000000606015263642712015711 0ustar alastairalastairGRIBb! 0001H Ĵ0ĴC1-1-"dCg졀 I;2SfaNbZ'K=5D211-&FT"Arc0}~>yf.JT6 5E?zI$HH>8_+k`Wgcuvz!fS@ZQ`re`_`Z_YiO>~g}j;izŁ$|bvKuvz!}Lяz}Ux:8I`5?wn|Ez={vjmsy{.Z~~~%zmPmj c _dpj;o?rQyO}~|yut]syu,nkKk>oQtv{kTelˋX~wpkJh-gimBr0w~gwۆ7777GRIBb! 0001H Ĵ0ĴC1-1-"dCg졀 I;2SfaNbZ'K=5D211-&FT"Arc0}~>yf.JT6 5E?zI$HH>8_+k`Wgcuvz!fS@ZQ`re`_`Z_YiO>~g}j;izŁ$|bvKuvz!}Lяz}Ux:8I`5?wn|Ez={vjmsy{.Z~~~%zmPmj c _dpj;o?rQyO}~|yut]syu,nkKk>oQtv{kTelˋX~wpkJh-gimBr0w~gwۆ7777GRIBb! 0001H Ĵ0ĴC1-1-"dCg졀 I;2SfaNbZ'K=5D211-&FT"Arc0}~>yf.JT6 5E?zI$HH>8_+k`Wgcuvz!fS@ZQ`re`_`Z_YiO>~g}j;izŁ$|bvKuvz!}Lяz}Ux:8I`5?wn|Ez={vjmsy{.Z~~~%zmPmj c _dpj;o?rQyO}~|yut]syu,nkKk>oQtv{kTelˋX~wpkJh-gimBr0w~gwۆ7777GRIBb! 0001H Ĵ0ĴC1-1-"dCg졀 I;2SfaNbZ'K=5D211-&FT"Arc0}~>yf.JT6 5E?zI$HH>8_+k`Wgcuvz!fS@ZQ`re`_`Z_YiO>~g}j;izŁ$|bvKuvz!}Lяz}Ux:8I`5?wn|Ez={vjmsy{.Z~~~%zmPmj c _dpj;o?rQyO}~|yut]syu,nkKk>oQtv{kTelˋX~wpkJh-gimBr0w~gwۆ7777GRIBb! 0001H Ĵ0ĴC1-1-"dCg졀 I;2SfaNbZ'K=5D211-&FT"Arc0}~>yf.JT6 5E?zI$HH>8_+k`Wgcuvz!fS@ZQ`re`_`Z_YiO>~g}j;izŁ$|bvKuvz!}Lяz}Ux:8I`5?wn|Ez={vjmsy{.Z~~~%zmPmj c _dpj;o?rQyO}~|yut]syu,nkKk>oQtv{kTelˋX~wpkJh-gimBr0w~gwۆ7777GRIBb! 0001H Ĵ0ĴC1-1-"dN Cg졀 I;2SfaNbZ'K=5D211-&FT"Arc0}~>yf.JT6 5E?zI$HH>8_+k`Wgcuvz!fS@ZQ`re`_`Z_YiO>~g}j;izŁ$|bvKuvz!}Lяz}Ux:8I`5?wn|Ez={vjmsy{.Z~~~%zmPmj c _dpj;o?rQyO}~|yut]syu,nkKk>oQtv{kTelˋX~wpkJh-gimBr0w~gwۆ7777metkit-1.22.0/tests/mars2grib/0000775000175000017500000000000015263642712016317 5ustar alastairalastairmetkit-1.22.0/tests/mars2grib/utils/0000775000175000017500000000000015263642712017457 5ustar alastairalastairmetkit-1.22.0/tests/mars2grib/utils/CMakeLists.txt0000664000175000017500000000004615263642712022217 0ustar alastairalastairadd_subdirectory( dictionary_traits ) metkit-1.22.0/tests/mars2grib/utils/dictionary_traits/0000775000175000017500000000000015263642712023212 5ustar alastairalastairmetkit-1.22.0/tests/mars2grib/utils/dictionary_traits/mars2grib-codesHandleTraits-tests.cc0000664000175000017500000000564615263642712032162 0ustar alastairalastair#include #include #include #include #include "eckit/testing/Test.h" #include "metkit/codes/api/CodesAPI.h" #include "metkit/mars2grib/utils/dictionary_traits/dictaccess_codes_handle.h" #include "metkit/mars2grib/utils/dictionary_traits/dictionary_access_traits.h" CASE("CodesHandle: has vs typed has") { auto h = metkit::codes::codesHandleFromSample("GRIB2"); using metkit::mars2grib::utils::dict_traits::has; // tablesVersionLatest è long scalar EXPECT(has(*h, "tablesVersionLatest")); EXPECT(has(*h, "tablesVersionLatest")); EXPECT(!has(*h, "tablesVersionLatest")); } CASE("CodesHandle: get_or_throw type mismatch throws") { auto h = metkit::codes::codesHandleFromSample("GRIB2"); using metkit::mars2grib::utils::dict_traits::get_or_throw; EXPECT_THROWS(get_or_throw(*h, "tablesVersionLatest")); EXPECT_THROWS(get_or_throw(*h, "tablesVersionLatest")); } CASE("CodesHandle: get_opt type mismatch returns nullopt") { auto h = metkit::codes::codesHandleFromSample("GRIB2"); using metkit::mars2grib::utils::dict_traits::get_opt; auto v = get_opt(*h, "tablesVersionLatest"); EXPECT(!v.has_value()); } CASE("CodesHandle: bool semantics") { auto h = metkit::codes::codesHandleFromSample("GRIB2"); using metkit::mars2grib::utils::dict_traits::get_or_throw; using metkit::mars2grib::utils::dict_traits::set_or_throw; // set_or_throw(*h, "myBool", 2L); bool xxx = get_or_throw(*h, "localUsePresent"); EXPECT(!xxx); set_or_throw(*h, "subCentre", 1L); // (*h).set( "subCentre", 0L ); std::cout << "After set subCentre" << get_or_throw(*h, "subCentre") << std::endl; // set_or_throw(*h, "setLocalDefinition", true ); // EXPECT(!get_or_throw(*h, "myBool")); } CASE("CodesHandle: scalar vs vector distinction") { auto h = metkit::codes::codesHandleFromSample("GRIB2"); using metkit::mars2grib::utils::dict_traits::has; EXPECT(has(*h, "tablesVersionLatest")); // EXPECT(!has>(*h, "tablesVersionLatest")); } CASE("CodesHandle: missing") { auto h = metkit::codes::codesHandleFromSample("GRIB2"); using metkit::mars2grib::utils::dict_traits::get_opt; using metkit::mars2grib::utils::dict_traits::get_or_throw; using metkit::mars2grib::utils::dict_traits::isMissing; using metkit::mars2grib::utils::dict_traits::set_or_throw; using metkit::mars2grib::utils::dict_traits::setMissing_or_throw; set_or_throw(*h, "productDefinitionTemplateNumber", 0L); setMissing_or_throw(*h, "scaleFactorOfFirstFixedSurface"); EXPECT(isMissing(*h, "scaleFactorOfFirstFixedSurface")); // EXPECT(!get_opt(*h, "myMissing").has_value()); // EXPECT_THROWS(get_or_throw(*h, "myMissing")); } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/utils/dictionary_traits/CMakeLists.txt0000664000175000017500000000061115263642712025750 0ustar alastairalastair ecbuild_add_test( TARGET mars2grib-localConfigurationTraits-tests SOURCES mars2grib-localConfigurationTraits-tests.cc NO_AS_NEEDED LIBS eckit metkit ) ecbuild_add_test( TARGET mars2grib-codesHandleTraits-tests SOURCES mars2grib-codesHandleTraits-tests.cc NO_AS_NEEDED LIBS eckit metkit )metkit-1.22.0/tests/mars2grib/utils/dictionary_traits/mars2grib-localConfigurationTraits-tests.cc0000664000175000017500000005743015263642712033571 0ustar alastairalastair#include #include #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/config/YAMLConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/utils/dictionary_traits/dictaccess_eckit_configuration.h" #include "metkit/mars2grib/utils/dictionary_traits/dictionary_access_traits.h" CASE("Test generic get_or_throw valid key") { #define TEST_GET_OR_THROW_VALID(TYPE, TYPENAME_STRING, KEY, EXPECTED) \ SECTION("get_or_throw<" TYPENAME_STRING "> valid key") { \ using metkit::mars2grib::utils::dict_traits::get_or_throw; \ EXPECT_NO_THROW({ \ TYPE expected_result = (EXPECTED); \ TYPE actual_result = get_or_throw(cfg, (KEY)); \ EXPECT_EQUAL(actual_result, expected_result); \ }); \ } // Used symbols using metkit::mars2grib::utils::dict_traits::get_or_throw; // Prepare a custom dictionary to test long const std::string yaml(R"json({ bool_scalar_var: true, int_scalar_var: 7, long_scalar_var: 12, float_scalar_var: 3.14, double_scalar_var: 3.14, string_scalar_var: "abc", int_vec_var: [7,6], long_vec_var: [12,13], float_vec_var: [3.14, 2.71], double_vec_var: [3.14, 2.71], string_vec_var: ["abc", "def"] })json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); TEST_GET_OR_THROW_VALID(bool, "bool", "bool_scalar_var", true); TEST_GET_OR_THROW_VALID(int, "int", "int_scalar_var", 7); TEST_GET_OR_THROW_VALID(long, "long", "long_scalar_var", 12); TEST_GET_OR_THROW_VALID(float, "float", "float_scalar_var", 3.14f); TEST_GET_OR_THROW_VALID(double, "double", "double_scalar_var", 3.14) TEST_GET_OR_THROW_VALID(std::string, "std::string", "string_scalar_var", std::string("abc")) TEST_GET_OR_THROW_VALID(std::vector, "std::vector", "int_vec_var", (std::vector{7, 6})) TEST_GET_OR_THROW_VALID(std::vector, "std::vector", "long_vec_var", (std::vector{12, 13})) TEST_GET_OR_THROW_VALID(std::vector, "std::vector", "float_vec_var", (std::vector{3.14f, 2.71f})) TEST_GET_OR_THROW_VALID(std::vector, "std::vector", "double_vec_var", (std::vector{3.14, 2.71})) TEST_GET_OR_THROW_VALID(std::vector, "std::vector", "string_vec_var", (std::vector{"abc", "def"})) #undef TEST_GET_OR_THROW_VALID } CASE("Test generic get_or_throw missing key") { #define TEST_GET_OR_THROW_MISSING(TYPE, TYPENAME_STRING, KEY) \ SECTION("get_or_throw<" TYPENAME_STRING "> missing key") { \ using metkit::mars2grib::utils::dict_traits::get_or_throw; \ EXPECT_THROWS({ TYPE actual_result = get_or_throw(cfg, (KEY)); }); \ } // Used symbols using metkit::mars2grib::utils::dict_traits::get_or_throw; // Prepare a custom dictionary to test long const std::string yaml(R"json({ bool_scalar_var: true, int_scalar_var: 7, long_scalar_var: 12, float_scalar_var: 3.14, double_scalar_var: 3.14, string_scalar_var: "abc", int_vec_var: [7,6], long_vec_var: [12,13], float_vec_var: [3.14, 2.71], double_vec_var: [3.14, 2.71], string_vec_var: ["abc", "def"] })json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); TEST_GET_OR_THROW_MISSING(bool, "bool", "missing_key"); TEST_GET_OR_THROW_MISSING(int, "int", "missing_key"); TEST_GET_OR_THROW_MISSING(long, "long", "missing_key"); TEST_GET_OR_THROW_MISSING(float, "float", "missing_key"); TEST_GET_OR_THROW_MISSING(double, "double", "missing_key") TEST_GET_OR_THROW_MISSING(std::string, "std::string", "missing_key") TEST_GET_OR_THROW_MISSING(std::vector, "std::vector", "missing_key") TEST_GET_OR_THROW_MISSING(std::vector, "std::vector", "missing_key") TEST_GET_OR_THROW_MISSING(std::vector, "std::vector", "missing_key") TEST_GET_OR_THROW_MISSING(std::vector, "std::vector", "missing_key") TEST_GET_OR_THROW_MISSING(std::vector, "std::vector", "missing_key") #undef TEST_GET_OR_THROW_MISSING } CASE("Test generic get_opt valid key") { #define TEST_GET_OPT_VALID(TYPE, TYPENAME_STRING, KEY, EXPECTED) \ SECTION("get_opt<" TYPENAME_STRING "> valid key") { \ using metkit::mars2grib::utils::dict_traits::get_opt; \ EXPECT_NO_THROW({ \ TYPE expected_result = (EXPECTED); \ std::optional actual_result = get_opt(cfg, (KEY)); \ EXPECT(actual_result.has_value()); \ EXPECT_EQUAL(actual_result.value(), expected_result); \ }); \ } // Used symbols using metkit::mars2grib::utils::dict_traits::get_opt; // Prepare a custom dictionary to test long const std::string yaml(R"json({ bool_scalar_var: true, int_scalar_var: 7, long_scalar_var: 12, float_scalar_var: 3.14, double_scalar_var: 3.14, string_scalar_var: "abc", int_vec_var: [7,6], long_vec_var: [12,13], float_vec_var: [3.14, 2.71], double_vec_var: [3.14, 2.71], string_vec_var: ["abc", "def"] })json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); // Try to get the value of "step" using the generic get function // ---- bool ---- TEST_GET_OPT_VALID(bool, "bool", "bool_scalar_var", true) TEST_GET_OPT_VALID(int, "int", "int_scalar_var", 7) TEST_GET_OPT_VALID(long, "long", "long_scalar_var", 12) TEST_GET_OPT_VALID(float, "float", "float_scalar_var", 3.14f) TEST_GET_OPT_VALID(double, "double", "double_scalar_var", 3.14) TEST_GET_OPT_VALID(std::string, "std::string", "string_scalar_var", std::string("abc")) TEST_GET_OPT_VALID(std::vector, "std::vector", "int_vec_var", (std::vector{7, 6})) TEST_GET_OPT_VALID(std::vector, "std::vector", "long_vec_var", (std::vector{12, 13})) TEST_GET_OPT_VALID(std::vector, "std::vector", "float_vec_var", (std::vector{3.14f, 2.71f})) TEST_GET_OPT_VALID(std::vector, "std::vector", "double_vec_var", (std::vector{3.14, 2.71})) TEST_GET_OPT_VALID(std::vector, "std::vector", "string_vec_var", (std::vector{"abc", "def"})) #undef TEST_GET_OPT_VALID } CASE("Test generic get_opt missing key") { #define TEST_GET_OPT_MISSING(TYPE, TYPENAME_STRING, KEY) \ SECTION("get_opt<" TYPENAME_STRING "> missing key") { \ using metkit::mars2grib::utils::dict_traits::get_opt; \ EXPECT_NO_THROW({ \ std::optional actual_result = get_opt(cfg, (KEY)); \ EXPECT(!actual_result.has_value()); \ }); \ } // Used symbols using metkit::mars2grib::utils::dict_traits::get_opt; // Prepare a custom dictionary to test long const std::string yaml(R"json({ bool_scalar_var: true, int_scalar_var: 7, long_scalar_var: 12, float_scalar_var: 3.14, double_scalar_var: 3.14, string_scalar_var: "abc", int_vec_var: [7,6], long_vec_var: [12,13], float_vec_var: [3.14, 2.71], double_vec_var: [3.14, 2.71], string_vec_var: ["abc", "def"] })json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); TEST_GET_OPT_MISSING(bool, "bool", "missing_key") TEST_GET_OPT_MISSING(int, "int", "missing_key") TEST_GET_OPT_MISSING(long, "long", "missing_key") TEST_GET_OPT_MISSING(float, "float", "missing_key") TEST_GET_OPT_MISSING(double, "double", "missing_key") TEST_GET_OPT_MISSING(std::string, "std::string", "missing_key") TEST_GET_OPT_MISSING(std::vector, "std::vector", "missing_key") TEST_GET_OPT_MISSING(std::vector, "std::vector", "missing_key") TEST_GET_OPT_MISSING(std::vector, "std::vector", "missing_key") TEST_GET_OPT_MISSING(std::vector, "std::vector", "missing_key") TEST_GET_OPT_MISSING(std::vector, "std::vector", "missing_key") #undef TEST_GET_OPT_MISSING } CASE("Test generic set_or_throw") { #define TEST_SET_OR_THROW(TYPE, TYPENAME_STRING, KEY, EXPECTED) \ SECTION("set_or_throw<" TYPENAME_STRING ">") { \ using metkit::mars2grib::utils::dict_traits::set_or_throw; \ using metkit::mars2grib::utils::dict_traits::get_or_throw; \ TYPE expected_result = (EXPECTED); \ EXPECT_NO_THROW({ set_or_throw(cfg, (KEY), expected_result); }); \ EXPECT_NO_THROW({ \ TYPE actual_result = get_or_throw(cfg, (KEY)); \ EXPECT_EQUAL(actual_result, expected_result); \ }); \ } // Prepare a custom dictionary to test long const std::string yaml(R"json({})json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); TEST_SET_OR_THROW(bool, "bool", "bool_scalar_var", true); TEST_SET_OR_THROW(int, "int", "int_scalar_var", 7); TEST_SET_OR_THROW(long, "long", "long_scalar_var", 12); TEST_SET_OR_THROW(float, "float", "float_scalar_var", 3.14f); TEST_SET_OR_THROW(double, "double", "double_scalar_var", 3.14); TEST_SET_OR_THROW(std::string, "std::string", "string_scalar_var", std::string("abc")); TEST_SET_OR_THROW(std::vector, "std::vector", "int_vec_var", (std::vector{7, 6})); TEST_SET_OR_THROW(std::vector, "std::vector", "long_vec_var", (std::vector{12, 13})); TEST_SET_OR_THROW(std::vector, "std::vector", "float_vec_var", (std::vector{3.14f, 2.71f})); TEST_SET_OR_THROW(std::vector, "std::vector", "double_vec_var", (std::vector{3.14, 2.71})); TEST_SET_OR_THROW(std::vector, "std::vector", "string_vec_var", (std::vector{"abc", "def"})); #undef TEST_SET_OR_THROW } CASE("Test generic set_or_ignore") { #define TEST_SET_OR_IGNORE(TYPE, TYPENAME_STRING, KEY, EXPECTED) \ SECTION("set_or_ignore<" TYPENAME_STRING ">") { \ using metkit::mars2grib::utils::dict_traits::set_or_ignore; \ using metkit::mars2grib::utils::dict_traits::get_or_throw; \ TYPE expected_result = (EXPECTED); \ EXPECT_NO_THROW({ set_or_ignore(cfg, (KEY), expected_result); }); \ EXPECT_NO_THROW({ \ TYPE actual_result = get_or_throw(cfg, (KEY)); \ EXPECT_EQUAL(actual_result, expected_result); \ }); \ } // Used symbols // Prepare a custom dictionary to test long const std::string yaml(R"json({})json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); TEST_SET_OR_IGNORE(bool, "bool", "bool_scalar_var", true); TEST_SET_OR_IGNORE(int, "int", "int_scalar_var", 7); TEST_SET_OR_IGNORE(long, "long", "long_scalar_var", 12); TEST_SET_OR_IGNORE(float, "float", "float_scalar_var", 3.14f); TEST_SET_OR_IGNORE(double, "double", "double_scalar_var", 3.14); TEST_SET_OR_IGNORE(std::string, "std::string", "string_scalar_var", std::string("abc")); TEST_SET_OR_IGNORE(std::vector, "std::vector", "int_vec_var", (std::vector{7, 6})); TEST_SET_OR_IGNORE(std::vector, "std::vector", "long_vec_var", (std::vector{12, 13})); TEST_SET_OR_IGNORE(std::vector, "std::vector", "float_vec_var", (std::vector{3.14f, 2.71f})); TEST_SET_OR_IGNORE(std::vector, "std::vector", "double_vec_var", (std::vector{3.14, 2.71})); TEST_SET_OR_IGNORE(std::vector, "std::vector", "string_vec_var", (std::vector{"abc", "def"})); #undef TEST_SET_OR_IGNORE } CASE("Test generic has valid") { // Used symbols using metkit::mars2grib::utils::dict_traits::has; // Prepare a custom dictionary to test long const std::string yaml(R"json({step: 12})json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); SECTION("has existing key") { EXPECT_NO_THROW({ bool actual_has = has(cfg, "step"); EXPECT(actual_has); }); } } CASE("Test generic has missing") { // Used symbols using metkit::mars2grib::utils::dict_traits::has; // Prepare a custom dictionary to test long const std::string yaml(R"json({step: 12})json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); SECTION("has missing key") { EXPECT_NO_THROW({ bool actual_has = has(cfg, "missing_key"); EXPECT(!actual_has); }); } } CASE("Test generic typed has valid") { #define TEST_TYPED_HAS_VALID(TYPE, TYPENAME_STRING, KEY) \ SECTION("has<" TYPENAME_STRING "> valid") { \ using metkit::mars2grib::utils::dict_traits::has; \ EXPECT_NO_THROW({ \ bool actual_has = has(cfg, (KEY)); \ EXPECT(actual_has); \ }); \ } // Prepare a custom dictionary to test long const std::string yaml(R"json({ bool_scalar_var: true, int_scalar_var: 7, long_scalar_var: 12, float_scalar_var: 3.14, double_scalar_var: 3.14, string_scalar_var: "abc", int_vec_var: [7,6], long_vec_var: [12,13], float_vec_var: [3.14, 2.71], double_vec_var: [3.14, 2.71], string_vec_var: ["abc", "def"] })json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); TEST_TYPED_HAS_VALID(bool, "bool", "bool_scalar_var"); TEST_TYPED_HAS_VALID(int, "int", "int_scalar_var"); TEST_TYPED_HAS_VALID(long, "long", "long_scalar_var"); TEST_TYPED_HAS_VALID(float, "float", "float_scalar_var"); TEST_TYPED_HAS_VALID(double, "double", "double_scalar_var"); TEST_TYPED_HAS_VALID(std::string, "std::string", "string_scalar_var"); TEST_TYPED_HAS_VALID(std::vector, "std::vector", "int_vec_var"); TEST_TYPED_HAS_VALID(std::vector, "std::vector", "long_vec_var"); TEST_TYPED_HAS_VALID(std::vector, "std::vector", "float_vec_var"); TEST_TYPED_HAS_VALID(std::vector, "std::vector", "double_vec_var"); TEST_TYPED_HAS_VALID(std::vector, "std::vector", "string_vec_var"); #undef TEST_TYPED_HAS_VALID } CASE("Test generic typed has missing") { #define TEST_TYPED_HAS_MISSING(TYPE, TYPENAME_STRING, KEY) \ { \ using metkit::mars2grib::utils::dict_traits::has; \ SECTION("has<" TYPENAME_STRING ">") { \ bool actual_has; \ EXPECT_NO_THROW({ actual_has = has(cfg, "missing_key"); }); \ EXPECT(!actual_has); \ } \ } // Prepare a custom dictionary to test long const std::string yaml(R"json({ bool_scalar_var: true, int_scalar_var: 7, long_scalar_var: 12, float_scalar_var: 3.14, double_scalar_var: 3.14, string_scalar_var: "abc", int_vec_var: [7,6], long_vec_var: [12,13], float_vec_var: [3.14, 2.71], double_vec_var: [3.14, 2.71], string_vec_var: ["abc", "def"] })json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); TEST_TYPED_HAS_MISSING(bool, "bool", "bool_scalar_var"); TEST_TYPED_HAS_MISSING(int, "int", "int_scalar_var"); TEST_TYPED_HAS_MISSING(long, "long", "long_scalar_var"); TEST_TYPED_HAS_MISSING(float, "float", "float_scalar_var"); TEST_TYPED_HAS_MISSING(double, "double", "double_scalar_var"); TEST_TYPED_HAS_MISSING(std::string, "std::string", "string_scalar_var"); TEST_TYPED_HAS_MISSING(std::vector, "std::vector", "int_vec_var"); TEST_TYPED_HAS_MISSING(std::vector, "std::vector", "long_vec_var"); TEST_TYPED_HAS_MISSING(std::vector, "std::vector", "float_vec_var"); TEST_TYPED_HAS_MISSING(std::vector, "std::vector", "double_vec_var"); TEST_TYPED_HAS_MISSING(std::vector, "std::vector", "string_vec_var"); #undef TEST_TYPED_HAS_MISSING } CASE("Test generic check valid") { #define TEST_CHECK_VALID(TYPE, TYPENAME_STRING, KEY) \ SECTION("check<" TYPENAME_STRING "> valid") { \ using metkit::mars2grib::utils::dict_traits::check; \ SECTION("check<" TYPENAME_STRING ">") { \ EXPECT_NO_THROW({ \ bool actual_has = check(cfg, (KEY), [](const auto&) { return true; }); \ EXPECT(actual_has); \ }); \ } \ } // Prepare a custom dictionary to test long const std::string yaml(R"json({ bool_scalar_var: true, int_scalar_var: 7, long_scalar_var: 12, float_scalar_var: 3.14, double_scalar_var: 3.14, string_scalar_var: "abc", int_vec_var: [7,6], long_vec_var: [12,13], float_vec_var: [3.14, 2.71], double_vec_var: [3.14, 2.71], string_vec_var: ["abc", "def"] })json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); TEST_CHECK_VALID(bool, "bool", "bool_scalar_var"); TEST_CHECK_VALID(int, "int", "int_scalar_var"); TEST_CHECK_VALID(long, "long", "long_scalar_var"); TEST_CHECK_VALID(float, "float", "float_scalar_var"); TEST_CHECK_VALID(double, "double", "double_scalar_var"); TEST_CHECK_VALID(std::string, "std::string", "string_scalar_var"); TEST_CHECK_VALID(std::vector, "std::vector", "int_vec_var"); TEST_CHECK_VALID(std::vector, "std::vector", "long_vec_var"); TEST_CHECK_VALID(std::vector, "std::vector", "float_vec_var"); TEST_CHECK_VALID(std::vector, "std::vector", "double_vec_var"); TEST_CHECK_VALID(std::vector, "std::vector", "string_vec_var"); #undef TEST_CHECK_VALID } CASE("Test generic check missing") { #define TEST_CHECK_MISSING(TYPE, TYPENAME_STRING, KEY) \ SECTION("check<" TYPENAME_STRING "> missing") { \ using metkit::mars2grib::utils::dict_traits::check; \ SECTION("check<" TYPENAME_STRING ">") { \ EXPECT_NO_THROW({ \ bool actual_has = check(cfg, (KEY), [](const auto&) { return false; }); \ EXPECT(actual_has); \ }); \ } \ } // Prepare a custom dictionary to test long const std::string yaml(R"json({ bool_scalar_var: true, int_scalar_var: 7, long_scalar_var: 12, float_scalar_var: 3.14, double_scalar_var: 3.14, string_scalar_var: "abc", int_vec_var: [7,6], long_vec_var: [12,13], float_vec_var: [3.14, 2.71], double_vec_var: [3.14, 2.71], string_vec_var: ["abc", "def"] })json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); TEST_CHECK_MISSING(bool, "bool", "bool_scalar_var"); TEST_CHECK_MISSING(int, "int", "int_scalar_var"); TEST_CHECK_MISSING(long, "long", "long_scalar_var"); TEST_CHECK_MISSING(float, "float", "float_scalar_var"); TEST_CHECK_MISSING(double, "double", "double_scalar_var"); TEST_CHECK_MISSING(std::string, "std::string", "string_scalar_var"); TEST_CHECK_MISSING(std::vector, "std::vector", "int_vec_var"); TEST_CHECK_MISSING(std::vector, "std::vector", "long_vec_var"); TEST_CHECK_MISSING(std::vector, "std::vector", "float_vec_var"); TEST_CHECK_MISSING(std::vector, "std::vector", "double_vec_var"); TEST_CHECK_MISSING(std::vector, "std::vector", "string_vec_var"); #undef TEST_CHECK_MISSING } CASE("Test sub-configuration") { using metkit::mars2grib::utils::dict_traits::get_or_throw; using metkit::mars2grib::utils::dict_traits::set_or_throw; // Prepare a custom dictionary to test long const std::string yaml(R"json({ bool_scalar_var: true, int_scalar_var: 7, long_scalar_var: 12, float_scalar_var: 3.14, double_scalar_var: 3.14, string_scalar_var: "abc", int_vec_var: [7,6], long_vec_var: [12,13], float_vec_var: [3.14, 2.71], double_vec_var: [3.14, 2.71], string_vec_var: ["abc", "def"] })json"); // Initialize the configuration const eckit::YAMLConfiguration root(yaml); eckit::LocalConfiguration cfg(root); eckit::LocalConfiguration n1(root); eckit::LocalConfiguration n2(root); std::vector n3{n1, n2}; SECTION("set sub-configuration n1") { EXPECT_NO_THROW({ set_or_throw(cfg, "n1", n1); }); EXPECT_NO_THROW({ eckit::LocalConfiguration actual_n1 = get_or_throw(cfg, "n1"); }); } SECTION("set sub-configuration n2") { EXPECT_NO_THROW({ set_or_throw(cfg, "n2", n2); }); EXPECT_NO_THROW({ eckit::LocalConfiguration actual_n2 = get_or_throw(cfg, "n2"); }); } SECTION("set sub-configurations") { EXPECT_NO_THROW({ set_or_throw>(cfg, "n3", n3); }); EXPECT_NO_THROW({ std::vector actual_n3 = get_or_throw>(cfg, "n3"); }); } #undef TEST_CHECK_MISSING } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/backend/0000775000175000017500000000000015263642712017706 5ustar alastairalastairmetkit-1.22.0/tests/mars2grib/backend/CMakeLists.txt0000664000175000017500000000024515263642712022447 0ustar alastairalastair ecbuild_add_test( TARGET mars2grib-test-search SOURCES mars2grib-test-search.cc NO_AS_NEEDED LIBS eckit metkit ) metkit-1.22.0/tests/mars2grib/backend/mars2grib-test-search.cc0000664000175000017500000001767315263642712024343 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include #include // dictionary access traits #include "metkit/mars2grib/utils/dictionary_traits/dictaccess_codes_handle.h" #include "metkit/mars2grib/utils/dictionary_traits/dictaccess_eckit_configuration.h" #include "metkit/mars2grib/utils/dictionary_traits/dictionary_access_traits.h" #include "eckit/log/Log.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/backend/concepts/GeneralRegistry.h" #include "metkit/mars2grib/backend/sections/resolver/ActiveConceptsData.h" #include "metkit/mars2grib/backend/sections/resolver/ResolvedTemplateData.h" #include "metkit/mars2grib/backend/sections/resolver/SectionLayoutData.h" #include "metkit/mars2grib/backend/sections/resolver/SectionTemplateSelector.h" #include "metkit/mars2grib/frontend/resolution/section-recipes/SectionTemplateSelectors.h" using ActiveConceptsData = metkit::mars2grib::backend::sections::resolver::ActiveConceptsData; using ResolvedTemplateData = metkit::mars2grib::backend::sections::resolver::dsl::ResolvedTemplateData; std::tuple make_ActiveConceptData_from_PayloadEntry(const ResolvedTemplateData& pe) { using metkit::mars2grib::backend::concepts_::GeneralRegistry; ActiveConceptsData res{}; res.count = pe.count; for (std::size_t i = 0; i < res.activeConceptsIndices.size(); ++i) { res.activeConceptsIndices[i] = GeneralRegistry::missing; } for (std::size_t i = 0; i < res.activeVariantIndices.size(); ++i) { res.activeVariantIndices[i] = GeneralRegistry::missing; } for (std::size_t i = 0; i < res.count; ++i) { std::size_t vid = pe.variantIndices[i]; std::size_t cid = GeneralRegistry::conceptIdArr[vid]; res.activeConceptsIndices[i] = cid; res.activeVariantIndices[cid] = vid; } return std::tuple{res, pe.templateNumber}; } CASE("Section 0") { using metkit::mars2grib::backend::sections::resolver::SectionLayoutData; using metkit::mars2grib::backend::sections::resolver::SectionTemplateSelector; using metkit::mars2grib::frontend::resolution::recipes::impl::Section0Recipes; const auto payload = Section0Recipes.getPayload(); const auto selector = SectionTemplateSelector::make(Section0Recipes); for (std::size_t i = 0; i < payload.size(); ++i) { auto [activeConcepts, expectedTemplateNumber] = make_ActiveConceptData_from_PayloadEntry(payload[i]); const auto& sectionLayoutData = selector.select_or_throw(activeConcepts); eckit::Log::error() << "Section 0 :: " << i << " expected template number " << expectedTemplateNumber << " but found " << sectionLayoutData.templateNumber << std::endl; ASSERT(expectedTemplateNumber == sectionLayoutData.templateNumber); } } CASE("Section 1") { using metkit::mars2grib::backend::sections::resolver::SectionLayoutData; using metkit::mars2grib::backend::sections::resolver::SectionTemplateSelector; using metkit::mars2grib::frontend::resolution::recipes::impl::Section1Recipes; const auto payload = Section1Recipes.getPayload(); const auto selector = SectionTemplateSelector::make(Section1Recipes); for (std::size_t i = 0; i < payload.size(); ++i) { auto [activeConcepts, expectedTemplateNumber] = make_ActiveConceptData_from_PayloadEntry(payload[i]); const auto& sectionLayoutData = selector.select_or_throw(activeConcepts); eckit::Log::error() << "Section 1 :: " << i << " expected template number " << expectedTemplateNumber << " but found " << sectionLayoutData.templateNumber << std::endl; ASSERT(expectedTemplateNumber == sectionLayoutData.templateNumber); } } CASE("Section 2") { using metkit::mars2grib::backend::sections::resolver::SectionLayoutData; using metkit::mars2grib::backend::sections::resolver::SectionTemplateSelector; using metkit::mars2grib::frontend::resolution::recipes::impl::Section2Recipes; const auto payload = Section2Recipes.getPayload(); const auto selector = SectionTemplateSelector::make(Section2Recipes); for (std::size_t i = 0; i < payload.size(); ++i) { auto [activeConcepts, expectedTemplateNumber] = make_ActiveConceptData_from_PayloadEntry(payload[i]); const auto& sectionLayoutData = selector.select_or_throw(activeConcepts); eckit::Log::error() << "Section 2 :: " << i << " expected template number " << expectedTemplateNumber << " but found " << sectionLayoutData.templateNumber << std::endl; ASSERT(expectedTemplateNumber == sectionLayoutData.templateNumber); } } CASE("Section 3") { using metkit::mars2grib::backend::sections::resolver::SectionLayoutData; using metkit::mars2grib::backend::sections::resolver::SectionTemplateSelector; using metkit::mars2grib::frontend::resolution::recipes::impl::Section3Recipes; const auto payload = Section3Recipes.getPayload(); const auto selector = SectionTemplateSelector::make(Section3Recipes); for (std::size_t i = 0; i < payload.size(); ++i) { auto [activeConcepts, expectedTemplateNumber] = make_ActiveConceptData_from_PayloadEntry(payload[i]); const auto& sectionLayoutData = selector.select_or_throw(activeConcepts); eckit::Log::error() << "Section 3 :: " << i << " expected template number " << expectedTemplateNumber << " but found " << sectionLayoutData.templateNumber << std::endl; ASSERT(expectedTemplateNumber == sectionLayoutData.templateNumber); } } CASE("Section 4") { using metkit::mars2grib::backend::sections::resolver::SectionLayoutData; using metkit::mars2grib::backend::sections::resolver::SectionTemplateSelector; using metkit::mars2grib::frontend::resolution::recipes::impl::Section4Recipes; const auto payload = Section4Recipes.getPayload(); const auto selector = SectionTemplateSelector::make(Section4Recipes); for (std::size_t i = 0; i < payload.size(); ++i) { auto [activeConcepts, expectedTemplateNumber] = make_ActiveConceptData_from_PayloadEntry(payload[i]); const auto& sectionLayoutData = selector.select_or_throw(activeConcepts); eckit::Log::error() << "Section 4 :: " << i << " expected template number " << expectedTemplateNumber << " but found " << sectionLayoutData.templateNumber << std::endl; ASSERT(expectedTemplateNumber == sectionLayoutData.templateNumber); } } CASE("Section 5") { using metkit::mars2grib::backend::sections::resolver::SectionLayoutData; using metkit::mars2grib::backend::sections::resolver::SectionTemplateSelector; using metkit::mars2grib::frontend::resolution::recipes::impl::Section5Recipes; const auto payload = Section5Recipes.getPayload(); const auto selector = SectionTemplateSelector::make(Section5Recipes); for (std::size_t i = 0; i < payload.size(); ++i) { auto [activeConcepts, expectedTemplateNumber] = make_ActiveConceptData_from_PayloadEntry(payload[i]); const auto& sectionLayoutData = selector.select_or_throw(activeConcepts); eckit::Log::error() << "Section 5 :: " << i << " expected template number " << expectedTemplateNumber << " but found " << sectionLayoutData.templateNumber << std::endl; ASSERT(expectedTemplateNumber == sectionLayoutData.templateNumber); } } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/CMakeLists.txt0000664000175000017500000000015315263642712021056 0ustar alastairalastairadd_subdirectory( api ) add_subdirectory( utils ) add_subdirectory( backend ) add_subdirectory( encoding ) metkit-1.22.0/tests/mars2grib/encoding/0000775000175000017500000000000015263642712020105 5ustar alastairalastairmetkit-1.22.0/tests/mars2grib/encoding/009_enfh_chemical_reforecast.cc0000664000175000017500000001056115263642712025771 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/log/CodeLocation.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" #include "metkit/mars2grib/utils/mars2gribExceptions.h" namespace { eckit::LocalConfiguration enfhRequest(const std::string& type, long param, const std::string& timespan = "") { eckit::LocalConfiguration mars; mars.set("origin", "ecmf"); mars.set("class", "od"); mars.set("stream", "enfh"); mars.set("type", type); if (type == "pf") { mars.set("number", 4); } mars.set("expver", "0001"); mars.set("grid", "N200"); mars.set("packing", "ccsds"); mars.set("param", param); mars.set("levtype", "sfc"); mars.set("date", 2026'10'01); mars.set("hdate", 2020'10'01); mars.set("time", 00'00'00); mars.set("step", 24); if (!timespan.empty()) { mars.set("timespan", timespan); } return mars; } template void expectReforecastDates(const Handle& handle) { // Identification section carries the hindcast date, PDS the model version date EXPECT_EQUAL(handle->getLong("year"), 2020); EXPECT_EQUAL(handle->getLong("YearOfModelVersion"), 2026); EXPECT_EQUAL(handle->getLong("MonthOfModelVersion"), 10); EXPECT_EQUAL(handle->getLong("DayOfModelVersion"), 1); EXPECT_EQUAL(handle->getLong("hdate"), 2020'10'01); } template void run(F&& f) { try { f(); } catch (const std::exception& e) { metkit::mars2grib::utils::exceptions::printExceptionStack(e, eckit::Log::error()); std::throw_with_nested( metkit::mars2grib::utils::exceptions::Mars2GribGenericException("ENCODING TEST FAILED", Here())); } } } // namespace CASE("enfh pf non-chemical param stays on the reforecast template") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 280.0), enfhRequest("pf", 167)); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 60); expectReforecastDates(handle); }); } CASE("enfh pf instantaneous CO2 flux is a chemical reforecast (PDT 152)") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 1.0e-6), enfhRequest("pf", 228083)); EXPECT_EQUAL(handle->getLong("paramId"), 228083); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 152); EXPECT_EQUAL(handle->getLong("constituentType"), 3); EXPECT_EQUAL(handle->getLong("perturbationNumber"), 4); expectReforecastDates(handle); }); } CASE("enfh pf accumulated CO2 is a chemical reforecast (PDT 153)") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 1.0e-3), enfhRequest("pf", 228080, "fs")); EXPECT_EQUAL(handle->getLong("paramId"), 228080); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 153); EXPECT_EQUAL(handle->getLong("constituentType"), 3); EXPECT_EQUAL(handle->getLong("typeOfStatisticalProcessing"), 1); // Accumulation EXPECT_EQUAL(handle->getLong("perturbationNumber"), 4); expectReforecastDates(handle); }); } CASE("enfh cf instantaneous CO2 flux is a chemical reforecast (PDT 152)") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 1.0e-6), enfhRequest("cf", 228084)); EXPECT_EQUAL(handle->getLong("paramId"), 228084); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 152); EXPECT_EQUAL(handle->getLong("constituentType"), 3); EXPECT_EQUAL(handle->getLong("perturbationNumber"), 0); expectReforecastDates(handle); }); } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/006_healpix.cc0000664000175000017500000000476515263642712022447 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" CASE("H1024") { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", "H1024"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'14); mars.set("time", 00'00); mars.set("step", 0); std::vector vals(12582912, 237.15); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("gridName"), "H1024"); // GRIB EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 150L); // HEALPix EXPECT_EQUAL(handle->getLong("shapeOfTheEarth"), 6L); // Spherical Earth with radius = 6371229.0 m EXPECT(handle->isMissing("scaleFactorOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaledValueOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaleFactorOfEarthMajorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMajorAxis")); EXPECT(handle->isMissing("scaleFactorOfEarthMinorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMinorAxis")); // @TODO - update as soon as ijDirectionIncrements is modified in ecCodes // EXPECT_EQUAL(handle->getLong("resolutionAndComponentFlags"), 0L); // 0000 0000 EXPECT_EQUAL(handle->getLong("Nside"), 1024L); EXPECT_EQUAL(handle->getLong("longitudeOfFirstGridPoint"), 45'000000L); // Unit 10^-6 degrees (Lo) EXPECT_EQUAL(handle->getLong("gridPointPosition"), 4L); // Grid points at centre of shapes EXPECT_EQUAL(handle->getLong("ordering"), 0L); // Ring ordering EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), 12582912); } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/CMakeLists.txt0000664000175000017500000000177015263642712022652 0ustar alastairalastairforeach( _src 001_oper_fc_as_control.cc 002_spherical_harmonics.cc 003_regular_latlon.cc 004_regular_gaussian.cc 005_reduced_gaussian.cc 006_healpix.cc 007_bitsPerValue.cc 008_pressure_level.cc 009_enfh_chemical_reforecast.cc 010_oper_enfo_chemical.cc 011_enfh_wave_reforecast.cc 012_seas6_stat_failure.cc 013_aifs-single_as_non_ensemble.cc 014_seas6_ensemble.cc ) get_filename_component( _name "${_src}" NAME_WE ) ecbuild_add_test( TARGET mars2grib_test_encoding_${_name}_legacy SOURCES ${_src} LIBS metkit NO_AS_NEEDED ) ecbuild_add_test( TARGET mars2grib_test_encoding_${_name}_gridSpec SOURCES ${_src} LIBS metkit ENVIRONMENT ECCODES_ECKIT_GEO=1 NO_AS_NEEDED ) endforeach() metkit-1.22.0/tests/mars2grib/encoding/001_oper_fc_as_control.cc0000664000175000017500000000336415263642712024642 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" CASE("stream=oper,type=fc as control forecast") { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration mars; mars.set("origin", "ecmf"); mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "0001"); mars.set("grid", "N200"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "hl"); mars.set("levelist", 2); mars.set("date", 2026'09'03); mars.set("time", 00'00'00); mars.set("step", 0); std::vector vals(200, 237.15); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "fc"); EXPECT_EQUAL(handle->getLong("number"), 0); // GRIB EXPECT_EQUAL(handle->getLong("perturbationNumber"), 0); EXPECT_EQUAL(handle->getLong("numberOfForecastsInEnsemble"), 51); EXPECT_EQUAL(handle->getLong("typeOfGeneratingProcess"), 4); // Ensemble Forecast EXPECT_EQUAL(handle->getLong("typeOfEnsembleForecast"), 5); // Unpertubed Forecast EXPECT_EQUAL(handle->getLong("typeOfProcessedData"), 3); // Control Forecast } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/004_regular_gaussian.cc0000664000175000017500000001701315263642712024334 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/geo/Grid.h" #include "eckit/geo/Point.h" #include "eckit/geo/Projection.h" #include "eckit/log/Log.h" #include "eckit/testing/Test.h" #include "eckit/types/FloatCompare.h" #include "metkit/codes/api/CodesAPI.h" #include "metkit/mars2grib/api/Mars2Grib.h" namespace metkit::mars2grib::test { static const bool useGridSpec = []() { const auto* value = ::getenv("ECCODES_ECKIT_GEO"); return value != nullptr && std::stol(value) != 0L; }(); constexpr double EPS = 1e-6; // [degree] GRIB2 angles are encoded in 10^-6 degree bool approx(double a, double b) { return eckit::types::is_approximately_equal(a, b, EPS); } eckit::LocalConfiguration mars_request(const std::string& grid) { eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", grid); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'14); mars.set("time", 00'00); mars.set("step", 0); return mars; } CASE("encoding") { struct test_t { std::string grid; // MARS grid long N; // number of parallels between a pole and the equator double lat1; // latitude of the first grid point (northernmost Gaussian latitude) [degree] } tests[]{ {"F32", 32, 87.863799}, {"F1280", 1280, 89.946188}, }; for (const auto& [grid, N, lat1] : tests) { SECTION(grid) { // global, 4N points along a parallel const long Ni = 4 * N; const long Nj = 2 * N; const double dx = 90. / N; const std::vector vals(Ni * Nj, 273.15); const auto handle = Mars2Grib().encode(vals, mars_request(grid)); ASSERT(handle); EXPECT(handle->getString("gridName") == grid); if (useGridSpec) { EXPECT(handle->getString("gridSpec") == R"({"grid":")" + grid + R"("})"); } EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 40L); // Gaussian latitude/longitude EXPECT_EQUAL(handle->getLong("shapeOfTheEarth"), 6L); // Spherical Earth with radius = 6371229.0 m EXPECT(handle->isMissing("scaleFactorOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaledValueOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaleFactorOfEarthMajorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMajorAxis")); EXPECT(handle->isMissing("scaleFactorOfEarthMinorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMinorAxis")); EXPECT_EQUAL(handle->getLong("Ni"), Ni); EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAParallel"), Ni); EXPECT_EQUAL(handle->getLong("Nj"), Nj); EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAMeridian"), Nj); EXPECT(handle->getLong("N") == N); EXPECT(handle->getLong("numberOfParallelsBetweenAPoleAndTheEquator") == N); EXPECT_EQUAL(handle->getLong("basicAngleOfTheInitialProductionDomain"), 0L); EXPECT(handle->isMissing("subdivisionsOfBasicAngle")); // @TODO - update as soon as ijDirectionIncrements is modified in ecCodes // EXPECT_EQUAL(handle->getLong("resolutionAndComponentFlags"), 32L); // 0010 0000 (Di given) EXPECT(approx(handle->getDouble("latitudeOfFirstGridPointInDegrees"), lat1)); EXPECT(approx(handle->getDouble("longitudeOfFirstGridPointInDegrees"), 0.)); EXPECT(approx(handle->getDouble("latitudeOfLastGridPointInDegrees"), -lat1)); EXPECT(approx(handle->getDouble("longitudeOfLastGridPointInDegrees"), 360. - dx)); EXPECT(approx(handle->getDouble("iDirectionIncrementInDegrees"), dx)); EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), Ni * Nj); } } } CASE("encoding (rotated)") { if (!useGridSpec) { eckit::Log::warning() << "rotated grids require gridSpec (ECCODES_ECKIT_GEO), test skipped" << std::endl; return; } // the grid of ecCodes' gridType=rotated_gg.grib (first message) const auto mars = mars_request(R"({"grid":"F48","rotation":[30,30]})"); const long Ni = 192; const long Nj = 96; const std::vector vals(Ni * Nj, 273.15); const auto handle = Mars2Grib().encode(vals, mars); ASSERT(handle); EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 41L); // Rotated Gaussian latitude/longitude EXPECT_EQUAL(handle->getLong("Ni"), Ni); EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAParallel"), Ni); EXPECT_EQUAL(handle->getLong("Nj"), Nj); EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAMeridian"), Nj); EXPECT_EQUAL(handle->getLong("N"), 48L); EXPECT_EQUAL(handle->getLong("numberOfParallelsBetweenAPoleAndTheEquator"), 48L); // first/last grid points, in the rotated frame EXPECT(approx(handle->getDouble("latitudeOfFirstGridPointInDegrees"), 88.572169)); EXPECT(approx(handle->getDouble("longitudeOfFirstGridPointInDegrees"), 0.)); EXPECT(approx(handle->getDouble("latitudeOfLastGridPointInDegrees"), -88.572169)); EXPECT(approx(handle->getDouble("longitudeOfLastGridPointInDegrees"), 358.125)); EXPECT(approx(handle->getDouble("iDirectionIncrementInDegrees"), 1.875)); EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT(approx(handle->getDouble("latitudeOfSouthernPoleInDegrees"), 30.)); EXPECT(approx(handle->getDouble("longitudeOfSouthernPoleInDegrees"), 30.)); EXPECT(approx(handle->getDouble("angleOfRotationInDegrees"), 0.)); EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), Ni * Nj); // coordinates of the first points, from a grid built from the encoded gridSpec const std::vector points_ref{ {-150.00000000000000, -28.57216851400726}, {-150.05319064425672, -28.57292230625801}, {-150.10632666115495, -28.57518290821670}, {-150.15935347266884, -28.57894799620847}, {-150.21221659941676, -28.58421369979395}, {-150.26486170993135, -28.59097460529629}, {-150.31723466986631, -28.59922376073626}, {-150.36928159111906, -28.60895268217335}, {-150.42094888084813, -28.62015136144922}, {-150.47218329036292, -28.63280827532991}, }; std::unique_ptr grid( eckit::geo::GridFactory::make_from_string(handle->getString("gridSpec"))); ASSERT(grid); EXPECT_EQUAL(grid->projection().type(), "rotation"); EXPECT_EQUAL(grid->size(), static_cast(Ni * Nj)); const auto points = grid->to_points(); for (size_t i = 0; i < points_ref.size(); ++i) { EXPECT(eckit::geo::points_equal(points[i], points_ref[i], EPS)); } } } // namespace metkit::mars2grib::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/008_pressure_level.cc0000664000175000017500000001062615263642712024047 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/codes/api/CodesAPI.h" #include "metkit/mars2grib/api/Mars2Grib.h" static const eckit::LocalConfiguration mars = []() { eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", "N200"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'18); mars.set("time", 00'00); mars.set("step", 42); return mars; }(); static const std::vector randomTemps = []() { std::vector vals(200); std::mt19937 rng(42); std::uniform_real_distribution dist(237.15 - 40, 237.15 + 40); for (auto& v : vals) { v = dist(rng); } return vals; }(); CASE("1000 hPa") { auto encoder = metkit::mars2grib::Mars2Grib(); auto customMars = mars; customMars.set("levelist", 1000); // Unit: hPa const auto handle = encoder.encode(randomTemps, customMars); // MARS EXPECT_EQUAL(handle->getString("levtype"), "pl"); EXPECT_EQUAL(handle->getDouble("levelist"), 1000); // Unit: hPa // GRIB EXPECT_EQUAL(handle->getLong("typeOfFirstFixedSurface"), 100); // Isobaric surface in Pa EXPECT_EQUAL(handle->getLong("scaleFactorOfFirstFixedSurface"), 0); // Multiply scaledValue by 10^(-0), aka 1 EXPECT_EQUAL(handle->getLong("scaledValueOfFirstFixedSurface"), 100000); // Unit: Pa EXPECT_EQUAL(handle->getLong("typeOfSecondFixedSurface"), 255); // Missing } CASE("100 hPa") { auto encoder = metkit::mars2grib::Mars2Grib(); auto customMars = mars; customMars.set("levelist", 100); // Unit: hPa const auto handle = encoder.encode(randomTemps, customMars); // MARS EXPECT_EQUAL(handle->getString("levtype"), "pl"); EXPECT_EQUAL(handle->getDouble("levelist"), 100); // Unit: hPa // GRIB EXPECT_EQUAL(handle->getLong("typeOfFirstFixedSurface"), 100); // Isobaric surface in Pa EXPECT_EQUAL(handle->getLong("scaleFactorOfFirstFixedSurface"), 0); // Multiply scaledValue by 10^(-0), aka 1 EXPECT_EQUAL(handle->getLong("scaledValueOfFirstFixedSurface"), 10000); // Unit: Pa EXPECT_EQUAL(handle->getLong("typeOfSecondFixedSurface"), 255); // Missing } CASE("10 hPa") { auto encoder = metkit::mars2grib::Mars2Grib(); auto customMars = mars; customMars.set("levelist", 10); // Unit: hPa const auto handle = encoder.encode(randomTemps, customMars); // MARS EXPECT_EQUAL(handle->getString("levtype"), "pl"); EXPECT_EQUAL(handle->getDouble("levelist"), 10); // Unit: hPa // GRIB EXPECT_EQUAL(handle->getLong("typeOfFirstFixedSurface"), 100); // Isobaric surface in Pa EXPECT_EQUAL(handle->getLong("scaleFactorOfFirstFixedSurface"), 0); // Multiply scaledValue by 10^(-0), aka 1 EXPECT_EQUAL(handle->getLong("scaledValueOfFirstFixedSurface"), 1000); // Pa EXPECT_EQUAL(handle->getLong("typeOfSecondFixedSurface"), 255); // Missing } CASE("50 Pa (0.5 hPa)") { auto encoder = metkit::mars2grib::Mars2Grib(); auto customMars = mars; customMars.set("levelist", 0.5); // Unit: hPa const auto handle = encoder.encode(randomTemps, customMars); // MARS EXPECT_EQUAL(handle->getString("levtype"), "pl"); EXPECT_EQUAL(handle->getDouble("levelist"), 0.5); // Unit: hPa // GRIB EXPECT_EQUAL(handle->getLong("typeOfFirstFixedSurface"), 100); // Isobaric surface in Pa EXPECT_EQUAL(handle->getLong("scaleFactorOfFirstFixedSurface"), 0); // Multiply scaledValue by 10^(-0), aka 1 EXPECT_EQUAL(handle->getLong("scaledValueOfFirstFixedSurface"), 50); // Unit: Pa EXPECT_EQUAL(handle->getLong("typeOfSecondFixedSurface"), 255); // Missing } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/013_aifs-single_as_non_ensemble.cc0000664000175000017500000000336615263642712026417 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" std::vector getVals() { return std::vector(542080, 0.0); } eckit::LocalConfiguration getMars() { eckit::LocalConfiguration mars; mars.set("class", "ai"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "v300"); mars.set("model", "aifs-single"); mars.set("grid", "N320"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 850); mars.set("date", 2026'09'30); mars.set("time", 00'00); mars.set("step", 42); mars.set("timespan", "none"); return mars; } eckit::LocalConfiguration getMisc() { eckit::LocalConfiguration misc; misc.set("generatingProcessIdentifier", 5); misc.set("bitmapPresent", false); return misc; } CASE("encoding") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(getVals(), getMars(), getMisc()); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 0); // Point in time analysis or forecast EXPECT_EQUAL(handle->getLong("typeOfGeneratingProcess"), 2); // Forecast } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/002_spherical_harmonics.cc0000664000175000017500000001044415263642712025015 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/codes/api/CodesAPI.h" #include "metkit/mars2grib/api/Mars2Grib.h" namespace metkit::mars2grib::test { static const bool useGridSpec = []() { const auto* value = ::getenv("ECCODES_ECKIT_GEO"); return value != nullptr && std::stol(value) != 0L; }(); constexpr long number_of_real_coefficients(long T) { return (T + 1) * (T + 2); } constexpr long default_sub_set_truncation(long T) { return T >= 213 ? 20L : std::min(10L, T); } CASE("encoding") { struct test_t { std::string label; long J; // truncation (J = K = M) long JS; // subSetTruncation (JS = KS = MS) } tests[]{ {"T1279/42", 1279, 42}, // {"T1279/20", 1279, 20}, // {"T1279", 1279, -1}, // (default subset) {"T20/20", 20, 20}, // {"T20/10", 20, 10}, // {"T20", 20, -1}, // (default subset) {"T1/1", 1, 1}, // {"T1", 1, -1}, // (default subset) }; for (const auto& [label, J, JS] : tests) { SECTION(label) { // MARS eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("packing", "complex"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'09); mars.set("time", 00'00); mars.set("step", 0); const auto grid = std::string("T") + std::to_string(J); if (useGridSpec) { mars.set("grid", grid); } else { mars.set("truncation", J); } const auto S = JS >= 0 ? JS : default_sub_set_truncation(J); eckit::LocalConfiguration misc; misc.set("subSetTruncation", JS); // GRIB const std::vector vals(number_of_real_coefficients(J), 273.15); const auto handle = JS >= 0 ? Mars2Grib().encode(vals, mars, misc) : Mars2Grib().encode(vals, mars); ASSERT(handle); if (useGridSpec) { EXPECT_EQUAL(handle->getString("gridSpec"), R"({"grid":")" + grid + R"("})"); } EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 50L); EXPECT_EQUAL(handle->getLong("dataRepresentationTemplateNumber"), 51L); EXPECT_EQUAL(handle->getLong("spectralType"), 1L); EXPECT_EQUAL(handle->getLong("spectralMode"), 1L); EXPECT_EQUAL(handle->getLong("bitsPerValue"), 16L); // Default EXPECT_EQUAL(handle->getLong("unpackedSubsetPrecision"), 1L); // IEEE 32-bit EXPECT(handle->getLong("J") == J); EXPECT(handle->getLong("K") == long(J)); EXPECT(handle->getLong("M") == long(J)); EXPECT(handle->getLong("JS") == long(S)); EXPECT(handle->getLong("KS") == long(S)); EXPECT(handle->getLong("MS") == long(S)); EXPECT(handle->getLong("numberOfDataPoints") == number_of_real_coefficients(J)); EXPECT(handle->getLong("TS") == number_of_real_coefficients(S)); if (JS == J) { // no coefficients are packed, these are unused EXPECT_EQUAL(handle->getLong("referenceValue"), 0L); EXPECT_EQUAL(handle->getLong("binaryScaleFactor"), 0L); EXPECT_EQUAL(handle->getLong("decimalScaleFactor"), 0L); EXPECT_EQUAL(handle->getLong("laplacianScalingFactor"), 0L); } } } } } // namespace metkit::mars2grib::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/011_enfh_wave_reforecast.cc0000664000175000017500000001346015263642712025160 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/log/CodeLocation.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" #include "metkit/mars2grib/utils/mars2gribExceptions.h" namespace { // Wave hindcasts (MARS stream enwh) are encoded as stream enfh, see mars2mars `convertWaveStreams`. eckit::LocalConfiguration waveRequest(const std::string& stream, const std::string& type, long param) { eckit::LocalConfiguration mars; mars.set("origin", "ecmf"); mars.set("class", "od"); mars.set("stream", stream); mars.set("type", type); if (type == "pf") { mars.set("number", 4); } mars.set("expver", "0001"); mars.set("grid", "N200"); mars.set("packing", "ccsds"); mars.set("param", param); mars.set("levtype", "sfc"); mars.set("date", 2026'10'01); if (stream == "enfh") { mars.set("hdate", 2020'10'01); } mars.set("time", 00'00'00); mars.set("step", 24); if (param == 140251) { mars.set("frequency", 3); mars.set("direction", 7); } return mars; } // Direction and frequency grids of the 2D wave spectra eckit::LocalConfiguration spectraMisc() { eckit::LocalConfiguration misc; misc.set("numberOfWaveDirections", 36L); misc.set("numberOfWaveFrequencies", 29L); misc.set("indexOfReferenceWaveFrequency", 1L); misc.set("referenceWaveFrequency", 0.03453); misc.set("waveFrequencySpacingRatio", 1.1); return misc; } template void expectReforecastDates(const Handle& handle) { // Identification section carries the hindcast date, PDS the model version date EXPECT_EQUAL(handle->getLong("year"), 2020); EXPECT_EQUAL(handle->getLong("YearOfModelVersion"), 2026); EXPECT_EQUAL(handle->getLong("MonthOfModelVersion"), 10); EXPECT_EQUAL(handle->getLong("DayOfModelVersion"), 1); EXPECT_EQUAL(handle->getLong("hdate"), 2020'10'01); } template void expectSpectra(const Handle& handle) { EXPECT_EQUAL(handle->getLong("paramId"), 140251); EXPECT_EQUAL(handle->getLong("numberOfWaveDirections"), 36); EXPECT_EQUAL(handle->getLong("numberOfWaveFrequencies"), 29); EXPECT_EQUAL(handle->getLong("waveDirectionNumber"), 7); EXPECT_EQUAL(handle->getLong("waveFrequencyNumber"), 3); } template void run(F&& f) { try { f(); } catch (const std::exception& e) { metkit::mars2grib::utils::exceptions::printExceptionStack(e, eckit::Log::error()); std::throw_with_nested( metkit::mars2grib::utils::exceptions::Mars2GribGenericException("ENCODING TEST FAILED", Here())); } } } // namespace CASE("enfh pf integrated wave param stays on the reforecast template") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 1.5), waveRequest("enfh", "pf", 140229)); EXPECT_EQUAL(handle->getLong("paramId"), 140229); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 60); expectReforecastDates(handle); }); } CASE("enfh pf wave 2D spectra is an ensemble reforecast (PDT 142)") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 0.1), waveRequest("enfh", "pf", 140251), spectraMisc()); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 142); EXPECT_EQUAL(handle->getLong("perturbationNumber"), 4); expectSpectra(handle); expectReforecastDates(handle); }); } CASE("enfh cf wave 2D spectra is an ensemble reforecast (PDT 142)") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 0.1), waveRequest("enfh", "cf", 140251), spectraMisc()); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 142); EXPECT_EQUAL(handle->getLong("perturbationNumber"), 0); expectSpectra(handle); expectReforecastDates(handle); }); } CASE("enfh pf wave period range is an ensemble reforecast (PDT 140)") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 0.5), waveRequest("enfh", "pf", 140114)); EXPECT_EQUAL(handle->getLong("paramId"), 140114); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 140); EXPECT_EQUAL(handle->getLong("perturbationNumber"), 4); expectReforecastDates(handle); }); } CASE("enfo pf wave 2D spectra stays on the ensemble template (PDT 100)") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 0.1), waveRequest("enfo", "pf", 140251), spectraMisc()); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 100); expectSpectra(handle); }); } CASE("enfo pf wave period range stays on the ensemble template (PDT 104)") { run([] { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(std::vector(200, 0.5), waveRequest("enfo", "pf", 140114)); EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 104); }); } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/005_reduced_gaussian.cc0000664000175000017500000003364415263642712024317 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/geo/Grid.h" #include "eckit/geo/Point.h" #include "eckit/geo/Projection.h" #include "eckit/log/Log.h" #include "eckit/testing/Test.h" #include "eckit/types/FloatCompare.h" #include "metkit/mars2grib/api/Mars2Grib.h" static const bool useGridSpec = []() { const auto* value = ::getenv("ECCODES_ECKIT_GEO"); return value != nullptr && std::stol(value) != 0L; }(); constexpr double EPS = 1e-6; // [degree] GRIB2 angles are encoded in 10^-6 degree bool approx(double a, double b) { return eckit::types::is_approximately_equal(a, b, EPS); } CASE("N32") { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", "N32"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'14); mars.set("time", 00'00); mars.set("step", 0); std::vector vals(6114, 237.15); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("gridName"), "N32"); // GRIB EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 40L); // Latitude/longitude EXPECT_EQUAL(handle->getLong("shapeOfTheEarth"), 6L); // Spherical Earth with radius = 6371229.0 m EXPECT(handle->isMissing("scaleFactorOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaledValueOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaleFactorOfEarthMajorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMajorAxis")); EXPECT(handle->isMissing("scaleFactorOfEarthMinorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMinorAxis")); EXPECT(handle->isMissing("numberOfPointsAlongAParallel")); // Missing for reduced gaussian grids (Ni) EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAMeridian"), 64L); // (Nj) EXPECT_EQUAL(handle->getLong("basicAngleOfTheInitialProductionDomain"), 0L); EXPECT(handle->isMissing("subdivisionsOfBasicAngle")); EXPECT_EQUAL(handle->getLong("latitudeOfFirstGridPoint"), 87'863799L); // Unit 10^-6 degrees (La1) EXPECT_EQUAL(handle->getLong("longitudeOfFirstGridPoint"), 0'000000L); // Unit 10^-6 degrees (Lo1) EXPECT_EQUAL(handle->getLong("resolutionAndComponentFlags"), 0L); // 0000 0000 Di NOT given EXPECT_EQUAL(handle->getLong("latitudeOfLastGridPoint"), -87'863799L); // Unit 10^-6 degrees (La2) EXPECT_EQUAL(handle->getLong("longitudeOfLastGridPoint"), 357'187500L); // Unit 10^-6 degrees (Lo2) EXPECT(handle->isMissing("iDirectionIncrement")); // Missing for reduced gaussian grids (Di) EXPECT_EQUAL(handle->getLong("numberOfParallelsBetweenAPoleAndTheEquator"), 32); // (N) EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), 6114); } CASE("O32") { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", "O32"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'14); mars.set("time", 00'00); mars.set("step", 0); std::vector vals(5248, 237.15); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("gridName"), "O32"); // GRIB EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 40L); // Latitude/longitude EXPECT_EQUAL(handle->getLong("shapeOfTheEarth"), 6L); // Spherical Earth with radius = 6371229.0 m EXPECT(handle->isMissing("scaleFactorOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaledValueOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaleFactorOfEarthMajorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMajorAxis")); EXPECT(handle->isMissing("scaleFactorOfEarthMinorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMinorAxis")); EXPECT(handle->isMissing("numberOfPointsAlongAParallel")); // Missing for reduced gaussian grids (Ni) EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAMeridian"), 64L); // (Nj) EXPECT_EQUAL(handle->getLong("basicAngleOfTheInitialProductionDomain"), 0L); EXPECT(handle->isMissing("subdivisionsOfBasicAngle")); EXPECT_EQUAL(handle->getLong("latitudeOfFirstGridPoint"), 87'863799L); // Unit 10^-6 degrees (La1) EXPECT_EQUAL(handle->getLong("longitudeOfFirstGridPoint"), 0'000000L); // Unit 10^-6 degrees (Lo1) EXPECT_EQUAL(handle->getLong("resolutionAndComponentFlags"), 0L); // 0000 0000 Di NOT given EXPECT_EQUAL(handle->getLong("latitudeOfLastGridPoint"), -87'863799L); // Unit 10^-6 degrees (La2) EXPECT_EQUAL(handle->getLong("longitudeOfLastGridPoint"), 357'500000L); // Unit 10^-6 degrees (Lo2) EXPECT(handle->isMissing("iDirectionIncrement")); // Missing for reduced gaussian grids (Di) EXPECT_EQUAL(handle->getLong("numberOfParallelsBetweenAPoleAndTheEquator"), 32); // (N) EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), 5248); } CASE("N1280") { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", "N1280"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'14); mars.set("time", 00'00); mars.set("step", 0); std::vector vals(8505906, 237.15); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("gridName"), "N1280"); // GRIB EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 40L); // Gaussian latitude/longitude EXPECT_EQUAL(handle->getLong("shapeOfTheEarth"), 6L); // Spherical Earth with radius = 6371229.0 m EXPECT(handle->isMissing("scaleFactorOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaledValueOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaleFactorOfEarthMajorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMajorAxis")); EXPECT(handle->isMissing("scaleFactorOfEarthMinorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMinorAxis")); EXPECT(handle->isMissing("numberOfPointsAlongAParallel")); // Missing for reduced gaussian grids (Ni) EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAMeridian"), 2560L); // (Nj) EXPECT_EQUAL(handle->getLong("basicAngleOfTheInitialProductionDomain"), 0L); EXPECT(handle->isMissing("subdivisionsOfBasicAngle")); EXPECT_EQUAL(handle->getLong("latitudeOfFirstGridPoint"), 89'946188L); // Unit 10^-6 degrees (La1) EXPECT_EQUAL(handle->getLong("longitudeOfFirstGridPoint"), 0'000000L); // Unit 10^-6 degrees (Lo1) EXPECT_EQUAL(handle->getLong("resolutionAndComponentFlags"), 0L); // 0000 0000 Di NOT given EXPECT_EQUAL(handle->getLong("latitudeOfLastGridPoint"), -89'946188L); // Unit 10^-6 degrees (La2) EXPECT_EQUAL(handle->getLong("longitudeOfLastGridPoint"), 359'929688L); // Unit 10^-6 degrees (Lo2) EXPECT(handle->isMissing("iDirectionIncrement")); // Missing for reduced gaussian grids (Di) EXPECT_EQUAL(handle->getLong("numberOfParallelsBetweenAPoleAndTheEquator"), 1280); // (N) EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), 8505906); } CASE("O1280") { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", "O1280"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'14); mars.set("time", 00'00); mars.set("step", 0); std::vector vals(6599680, 237.15); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("gridName"), "O1280"); // GRIB EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 40L); // Gaussian latitude/longitude EXPECT_EQUAL(handle->getLong("shapeOfTheEarth"), 6L); // Spherical Earth with radius = 6371229.0 m EXPECT(handle->isMissing("scaleFactorOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaledValueOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaleFactorOfEarthMajorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMajorAxis")); EXPECT(handle->isMissing("scaleFactorOfEarthMinorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMinorAxis")); EXPECT(handle->isMissing("numberOfPointsAlongAParallel")); // Missing for reduced gaussian grids (Ni) EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAMeridian"), 2560L); // (Nj) EXPECT_EQUAL(handle->getLong("basicAngleOfTheInitialProductionDomain"), 0L); EXPECT(handle->isMissing("subdivisionsOfBasicAngle")); EXPECT_EQUAL(handle->getLong("latitudeOfFirstGridPoint"), 89'946188L); // Unit 10^-6 degrees (La1) EXPECT_EQUAL(handle->getLong("longitudeOfFirstGridPoint"), 0'000000L); // Unit 10^-6 degrees (Lo1) EXPECT_EQUAL(handle->getLong("resolutionAndComponentFlags"), 0L); // 0000 0000 Di NOT given EXPECT_EQUAL(handle->getLong("latitudeOfLastGridPoint"), -89'946188L); // Unit 10^-6 degrees (La2) EXPECT_EQUAL(handle->getLong("longitudeOfLastGridPoint"), 359'929907L); // Unit 10^-6 degrees (Lo2) EXPECT(handle->isMissing("iDirectionIncrement")); // Missing for reduced gaussian grids (Di) EXPECT_EQUAL(handle->getLong("numberOfParallelsBetweenAPoleAndTheEquator"), 1280); // (N) EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), 6599680); } CASE("O80 (rotated)") { if (!useGridSpec) { eckit::Log::warning() << "rotated grids require gridSpec (ECCODES_ECKIT_GEO), test skipped" << std::endl; return; } auto encoder = metkit::mars2grib::Mars2Grib(); // the grid of ecCodes' gridType=reduced_rotated_gg.grib (third message) eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", R"({"grid":"O80","rotation":[30,30]})"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'14); mars.set("time", 00'00); mars.set("step", 0); std::vector vals(28480, 237.15); const auto handle = encoder.encode(vals, mars); // GRIB EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 41L); // Rotated Gaussian latitude/longitude EXPECT(handle->isMissing("Ni")); // Missing for reduced gaussian grids EXPECT(handle->isMissing("numberOfPointsAlongAParallel")); EXPECT_EQUAL(handle->getLong("Nj"), 160L); EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAMeridian"), 160L); EXPECT_EQUAL(handle->getLong("N"), 80); EXPECT_EQUAL(handle->getLong("numberOfParallelsBetweenAPoleAndTheEquator"), 80); EXPECT(approx(handle->getDouble("latitudeOfFirstGridPointInDegrees"), 89.141519)); EXPECT(approx(handle->getDouble("longitudeOfFirstGridPointInDegrees"), 0.)); EXPECT(approx(handle->getDouble("latitudeOfLastGridPointInDegrees"), -89.141519)); EXPECT(approx(handle->getDouble("longitudeOfLastGridPointInDegrees"), 358.928571)); EXPECT(handle->isMissing("iDirectionIncrement")); // Missing for reduced gaussian grids EXPECT(approx(handle->getDouble("latitudeOfSouthernPoleInDegrees"), 30.)); EXPECT(approx(handle->getDouble("longitudeOfSouthernPoleInDegrees"), 30.)); EXPECT(approx(handle->getDouble("angleOfRotationInDegrees"), 0.)); EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), 28480); // coordinates of the first points, from a grid built from the encoded gridSpec const std::vector points_ref{ {-150.00000000000000, -29.14151942646109}, {-150.30384489745967, -29.18318764253491}, {-150.57863834893357, -29.30420953577266}, {-150.79791950179472, -29.49299204833164}, {-150.94024317792739, -29.73137429450929}, {-150.99126325558376, -29.99628694451165}, {-150.94528301220487, -30.26190855703454}, {-150.80607488769962, -30.50214705912438}, {-150.58679467788403, -30.69322436612787}, {-150.30888625761696, -30.81610305894176}, }; std::unique_ptr grid( eckit::geo::GridFactory::make_from_string(handle->getString("gridSpec"))); ASSERT(grid); EXPECT_EQUAL(grid->projection().type(), "rotation"); EXPECT_EQUAL(grid->size(), 28480); const auto points = grid->to_points(); for (size_t i = 0; i < points_ref.size(); ++i) { EXPECT(eckit::geo::points_equal(points[i], points_ref[i], EPS)); } } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/014_seas6_ensemble.cc0000664000175000017500000000610115263642712023671 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" std::vector getVals() { return std::vector(542080, 0.0); } eckit::LocalConfiguration getMars(const std::string& klass, const std::string& stream, const int number) { eckit::LocalConfiguration mars; mars.set("class", klass); mars.set("stream", stream); mars.set("type", "fc"); mars.set("expver", "0001"); mars.set("grid", "N320"); mars.set("packing", "ccsds"); mars.set("param", 78); mars.set("system", 6); mars.set("number", number); mars.set("levtype", "sfc"); mars.set("date", 2026'10'06); mars.set("time", 00'00); mars.set("step", 0); mars.set("timespan", "none"); return mars; } eckit::LocalConfiguration getMisc() { eckit::LocalConfiguration misc; misc.set("numberOfForecastsInEnsemble", 101); return misc; } CASE("encoding") { auto encoder = metkit::mars2grib::Mars2Grib(); const std::vector classList{{"od", "rd", "c3"}}; const std::vector streamList{{"sfdd", "sfmd", "shdd", "shmd", "sfdp", "shdp"}}; const std::vector numberList{{0, 1, 2, 99, 100}}; // Not all, because that's kinda slow for (const auto klass : classList) { for (const auto stream : streamList) { for (const auto number : numberList) { std::cout << "number = " << number << std::endl; const auto handle = encoder.encode(getVals(), getMars(klass, stream, number), getMisc()); // typeOfEnsembleForecast = 8 (Model physics perturbations) or // 9 (Initial conditions and model physics perturbations) const auto expectedTOEF = number == 0 ? 8 : 9; // MARS EXPECT_EQUAL(handle->getString("class"), klass); EXPECT_EQUAL(handle->getString("stream"), stream); EXPECT_EQUAL(handle->getString("type"), "fc"); EXPECT_EQUAL(handle->getLong("number"), number); // GRIB EXPECT_EQUAL(handle->getLong("perturbationNumber"), number); EXPECT_EQUAL(handle->getLong("numberOfForecastsInEnsemble"), 101); EXPECT_EQUAL(handle->getLong("typeOfGeneratingProcess"), 4); // Ensemble Forecast EXPECT_EQUAL(handle->getLong("typeOfEnsembleForecast"), expectedTOEF); // See note EXPECT_EQUAL(handle->getLong("typeOfProcessedData"), 4); // Perturbed Forecast } } } } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/003_regular_latlon.cc0000664000175000017500000001676615263642712024030 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include #include #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/geo/Grid.h" #include "eckit/geo/Point.h" #include "eckit/geo/Projection.h" #include "eckit/log/Log.h" #include "eckit/testing/Test.h" #include "eckit/types/FloatCompare.h" #include "metkit/codes/api/CodesAPI.h" #include "metkit/mars2grib/api/Mars2Grib.h" namespace metkit::mars2grib::test { static const bool useGridSpec = []() { const auto* value = ::getenv("ECCODES_ECKIT_GEO"); return value != nullptr && std::stol(value) != 0L; }(); constexpr double EPS = 1e-6; // [degree] GRIB2 angles are encoded in 10^-6 degree bool approx(double a, double b) { return eckit::types::is_approximately_equal(a, b, EPS); } eckit::LocalConfiguration mars_request(const std::string& grid) { eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", grid); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'10); mars.set("time", 00'00); mars.set("step", 0); return mars; } CASE("encoding") { struct test_t { std::string grid; // MARS grid (west-east/south-north increments) double dx; // west-east increment [degree] double dy; // south-north increment [degree] } tests[]{ {"1/1", 1., 1.}, {"0.25/0.25", 0.25, 0.25}, {"0.1/0.1", 0.1, 0.1}, {"2/1", 2., 1.}, }; for (const auto& [grid, dx, dy] : tests) { SECTION(grid) { // global, including both poles const long Ni = std::lround(360. / dx); const long Nj = std::lround(180. / dy) + 1; const std::vector vals(Ni * Nj, 273.15); const auto handle = Mars2Grib().encode(vals, mars_request(grid)); ASSERT(handle); if (useGridSpec) { auto increments = grid; std::replace(increments.begin(), increments.end(), '/', ','); EXPECT_EQUAL(handle->getString("gridSpec"), R"({"grid":[)" + increments + "]}"); } EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 0L); // Latitude/longitude EXPECT_EQUAL(handle->getLong("shapeOfTheEarth"), 6L); // Spherical Earth with radius = 6371229.0 m EXPECT(handle->isMissing("scaleFactorOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaledValueOfRadiusOfSphericalEarth")); EXPECT(handle->isMissing("scaleFactorOfEarthMajorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMajorAxis")); EXPECT(handle->isMissing("scaleFactorOfEarthMinorAxis")); EXPECT(handle->isMissing("scaledValueOfEarthMinorAxis")); EXPECT_EQUAL(handle->getLong("Ni"), Ni); EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAParallel"), Ni); EXPECT_EQUAL(handle->getLong("Nj"), Nj); EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAMeridian"), Nj); EXPECT_EQUAL(handle->getLong("basicAngleOfTheInitialProductionDomain"), 0L); EXPECT(handle->isMissing("subdivisionsOfBasicAngle")); EXPECT(approx(handle->getDouble("latitudeOfFirstGridPointInDegrees"), 90.)); EXPECT(approx(handle->getDouble("longitudeOfFirstGridPointInDegrees"), 0.)); EXPECT_EQUAL(handle->getLong("resolutionAndComponentFlags"), 48L); // 0011 0000 (Di and Dj given) EXPECT(approx(handle->getDouble("latitudeOfLastGridPointInDegrees"), -90.)); EXPECT(approx(handle->getDouble("longitudeOfLastGridPointInDegrees"), 360. - dx)); EXPECT(approx(handle->getDouble("iDirectionIncrementInDegrees"), dx)); EXPECT(approx(handle->getDouble("jDirectionIncrementInDegrees"), dy)); EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), Ni * Nj); } } } CASE("encoding (rotated)") { if (!useGridSpec) { eckit::Log::warning() << "rotated grids require gridSpec (ECCODES_ECKIT_GEO), test skipped" << std::endl; return; } // the grid of ecCodes' constant_field.grib2 (see also eckit/tests/geo/grid_regular_ll.cc) const auto mars = mars_request(R"({"area":[26.65,5.75,-13.25,30.45],"grid":[0.1,0.1],"rotation":[-22,320]})"); const long Ni = 248; const long Nj = 400; const std::vector vals(Ni * Nj, 273.15); const auto handle = Mars2Grib().encode(vals, mars); ASSERT(handle); EXPECT_EQUAL(handle->getLong("gridDefinitionTemplateNumber"), 1L); // Rotated latitude/longitude EXPECT_EQUAL(handle->getLong("Ni"), Ni); EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAParallel"), Ni); EXPECT_EQUAL(handle->getLong("Nj"), Nj); EXPECT_EQUAL(handle->getLong("numberOfPointsAlongAMeridian"), Nj); // first/last grid points, in the rotated frame EXPECT(approx(handle->getDouble("latitudeOfFirstGridPointInDegrees"), 26.65)); EXPECT(approx(handle->getDouble("longitudeOfFirstGridPointInDegrees"), 5.75)); EXPECT(approx(handle->getDouble("latitudeOfLastGridPointInDegrees"), -13.25)); EXPECT(approx(handle->getDouble("longitudeOfLastGridPointInDegrees"), 30.45)); EXPECT(approx(handle->getDouble("iDirectionIncrementInDegrees"), 0.1)); EXPECT(approx(handle->getDouble("jDirectionIncrementInDegrees"), 0.1)); EXPECT_EQUAL(handle->getLong("scanningMode"), 0L); // 0000 0000 EXPECT(approx(handle->getDouble("latitudeOfSouthernPoleInDegrees"), -22.)); EXPECT(approx(handle->getDouble("longitudeOfSouthernPoleInDegrees"), 320.)); EXPECT(approx(handle->getDouble("angleOfRotationInDegrees"), 0.)); EXPECT_EQUAL(handle->getLong("numberOfDataPoints"), Ni * Nj); // coordinates of the southernmost row (the last, as scanned), from a grid built from the encoded gridSpec const std::vector points_ref{ {-30.37923437901262, 54.30167983367708}, {-30.21461696695217, 54.28605285392668}, {-30.05013625049183, 54.27016346802356}, {-29.88579431820473, 54.25401202651201}, {-29.72159324673793, 54.23759888507955}, {-29.55753510066738, 54.22092440451927}, {-29.39362193235515, 54.20398895069178}, {-29.22985578180936, 54.18679289448672}, {-29.06623867654653, 54.16933661178392}, {-28.90277263145643, 54.15162048341411}, }; std::unique_ptr grid( eckit::geo::GridFactory::make_from_string(handle->getString("gridSpec"))); ASSERT(grid); EXPECT_EQUAL(grid->projection().type(), "rotation"); EXPECT_EQUAL(grid->size(), static_cast(Ni * Nj)); const auto points = grid->to_points(); for (size_t i = 0; i < points_ref.size(); ++i) { EXPECT(eckit::geo::points_equal(points[(Nj - 1) * Ni + i], points_ref[i], EPS)); } } } // namespace metkit::mars2grib::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/010_oper_enfo_chemical.cc0000664000175000017500000002067015263642712024602 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" eckit::LocalConfiguration getMars(const std::string& stream, const std::string& type, long param, const std::string& timespan = "none") { eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", stream); mars.set("type", type); mars.set("expver", "test"); mars.set("grid", "N200"); mars.set("packing", "ccsds"); mars.set("param", param); mars.set("levtype", "sfc"); mars.set("date", 2026'09'25); mars.set("time", 00'00); mars.set("step", 42); mars.set("timespan", timespan); if (type == "pf") { mars.set("number", 42); } return mars; } CASE("stream=oper,type=fc,param=228080") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("oper", "fc", 228080, "fs"); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "fc"); EXPECT_EQUAL(handle->getLong("paramId"), 228080); EXPECT_EQUAL(handle->getString("timespan"), "fs"); EXPECT_EQUAL(handle->getLong("number"), 0); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 43); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=oper,type=fc,param=228081") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("oper", "fc", 228081, "fs"); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "fc"); EXPECT_EQUAL(handle->getLong("paramId"), 228081); EXPECT_EQUAL(handle->getString("timespan"), "fs"); EXPECT_EQUAL(handle->getLong("number"), 0); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 43); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=oper,type=fc,param=228082") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("oper", "fc", 228082, "fs"); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "fc"); EXPECT_EQUAL(handle->getLong("paramId"), 228082); EXPECT_EQUAL(handle->getString("timespan"), "fs"); EXPECT_EQUAL(handle->getLong("number"), 0); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 43); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=oper,type=fc,param=228083") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("oper", "fc", 228083); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "fc"); EXPECT_EQUAL(handle->getLong("paramId"), 228083); EXPECT_EQUAL(handle->getString("timespan"), "none"); EXPECT_EQUAL(handle->getLong("number"), 0); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 41); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=oper,type=fc,param=228084") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("oper", "fc", 228084); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "fc"); EXPECT_EQUAL(handle->getLong("paramId"), 228084); EXPECT_EQUAL(handle->getString("timespan"), "none"); EXPECT_EQUAL(handle->getLong("number"), 0); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 41); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=oper,type=fc,param=228085") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("oper", "fc", 228085); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "fc"); EXPECT_EQUAL(handle->getLong("paramId"), 228085); EXPECT_EQUAL(handle->getString("timespan"), "none"); EXPECT_EQUAL(handle->getLong("number"), 0); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 41); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=enfo,type=pf,param=228080") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("enfo", "pf", 228080, "fs"); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "pf"); EXPECT_EQUAL(handle->getLong("paramId"), 228080); EXPECT_EQUAL(handle->getString("timespan"), "fs"); EXPECT_EQUAL(handle->getLong("number"), 42); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 43); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=enfo,type=pf,param=228081") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("enfo", "pf", 228081, "fs"); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "pf"); EXPECT_EQUAL(handle->getLong("paramId"), 228081); EXPECT_EQUAL(handle->getString("timespan"), "fs"); EXPECT_EQUAL(handle->getLong("number"), 42); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 43); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=enfo,type=pf,param=228082") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("enfo", "pf", 228082, "fs"); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "pf"); EXPECT_EQUAL(handle->getLong("paramId"), 228082); EXPECT_EQUAL(handle->getString("timespan"), "fs"); EXPECT_EQUAL(handle->getLong("number"), 42); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 43); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=enfo,type=pf,param=228083") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("enfo", "pf", 228083); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "pf"); EXPECT_EQUAL(handle->getLong("paramId"), 228083); EXPECT_EQUAL(handle->getString("timespan"), "none"); EXPECT_EQUAL(handle->getLong("number"), 42); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 41); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=enfo,type=pf,param=228084") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("enfo", "pf", 228084); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "pf"); EXPECT_EQUAL(handle->getLong("paramId"), 228084); EXPECT_EQUAL(handle->getString("timespan"), "none"); EXPECT_EQUAL(handle->getLong("number"), 42); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 41); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } CASE("stream=enfo,type=pf,param=228085") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto mars = getMars("enfo", "pf", 228085); std::vector vals(200, 0); const auto handle = encoder.encode(vals, mars); // MARS EXPECT_EQUAL(handle->getString("type"), "pf"); EXPECT_EQUAL(handle->getLong("paramId"), 228085); EXPECT_EQUAL(handle->getString("timespan"), "none"); EXPECT_EQUAL(handle->getLong("number"), 42); // GRIB EXPECT_EQUAL(handle->getLong("productDefinitionTemplateNumber"), 41); EXPECT_EQUAL(handle->getLong("constituentType"), 3); } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/007_bitsPerValue.cc0000664000175000017500000000661115263642712023413 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" static const eckit::LocalConfiguration mars = []() { eckit::LocalConfiguration mars; mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "test"); mars.set("grid", "N200"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "pl"); mars.set("levelist", 1000); mars.set("date", 2026'09'18); mars.set("time", 00'00); mars.set("step", 42); return mars; }(); static const std::vector randomTemps = []() { std::vector vals(200); std::mt19937 rng(42); std::uniform_real_distribution dist(237.15 - 40, 237.15 + 40); for (auto& v : vals) { v = dist(rng); } return vals; }(); static const std::vector randomZeroToOne = []() { std::vector vals(200); std::mt19937 rng(42); std::uniform_real_distribution dist(0.0, 1.0); for (auto& v : vals) { v = dist(rng); } return vals; }(); CASE("bitsPerValue=0 (constant)") { auto encoder = metkit::mars2grib::Mars2Grib(); std::vector vals(200, 237.15); const auto handle = encoder.encode(vals, mars); // GRIB EXPECT_EQUAL(handle->getLong("bitsPerValue"), 0); } CASE("bitsPerValue=16 (default)") { auto encoder = metkit::mars2grib::Mars2Grib(); const auto handle = encoder.encode(randomTemps, mars); // GRIB EXPECT_EQUAL(handle->getLong("bitsPerValue"), 16); } CASE("bitsPerValue=8") { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration misc; misc.set("bitsPerValue", 8); const auto handle = encoder.encode(randomTemps, mars, misc); // GRIB EXPECT_EQUAL(handle->getLong("bitsPerValue"), 8); } CASE("bitsPerValue=24") { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration misc; misc.set("bitsPerValue", 24); const auto handle = encoder.encode(randomTemps, mars, misc); // GRIB EXPECT_EQUAL(handle->getLong("bitsPerValue"), 24); } CASE("bitsPerValue=8 (default for cloud cover)") { auto encoder = metkit::mars2grib::Mars2Grib(); auto customMars = mars; customMars.set("param", 248); // Cloud Cover const auto handle = encoder.encode(randomTemps, customMars); // GRIB EXPECT_EQUAL(handle->getLong("bitsPerValue"), 8); } CASE("bitsPerValue=24 (default for 210001 to 227999 range)") { auto encoder = metkit::mars2grib::Mars2Grib(); auto customMars = mars; customMars.set("param", 210186); // UV visible albedo for direct radiation customMars.set("levtype", "sfc"); customMars.remove("levelist"); const auto handle = encoder.encode(randomZeroToOne, customMars); // GRIB EXPECT_EQUAL(handle->getLong("bitsPerValue"), 24); } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/encoding/012_seas6_stat_failure.cc0000664000175000017500000000306215263642712024562 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include "eckit/config/LocalConfiguration.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" CASE("SEAS6 Statistics Encoding Failure") { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration mars; mars.set("origin", "ecmf"); mars.set("expver", "jbiq"); mars.set("class", "rd"); mars.set("stream", "sfdd"); mars.set("type", "fc"); mars.set("grid", "O200"); mars.set("packing", "ccsds"); mars.set("param", 235035); mars.set("stattype", "momx"); mars.set("levtype", "sfc"); mars.set("levelist", 0); mars.set("date", 2001'05'01); mars.set("time", 00'00); // mars.set("step", 744); mars.set("fcmonth", 1); mars.set("timespan", 24); mars.set("number", 0); mars.set("system", 0); mars.set("method", 1); eckit::LocalConfiguration misc; // misc.set("timeIncrementInSeconds", 600); std::vector vals(167200, 0); const auto handle = encoder.encode(vals, mars, misc); // MARS EXPECT_EQUAL(handle->getLong("step"), 744); } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/mars2grib/api/0000775000175000017500000000000015263642712017070 5ustar alastairalastairmetkit-1.22.0/tests/mars2grib/api/CMakeLists.txt0000664000175000017500000000043115263642712021626 0ustar alastairalastair ecbuild_add_test( TARGET mars2grib_test_cpp_api CONDITION HAVE_MARS2GRIB INCLUDES "${ECCODES_INCLUDE_DIRS}" SOURCES test_cpp_api.cc LIBS metkit NO_AS_NEEDED ) metkit-1.22.0/tests/mars2grib/api/test_cpp_api.cc0000664000175000017500000000323315263642712022052 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include "eckit/config/LocalConfiguration.h" #include "eckit/log/CodeLocation.h" #include "eckit/testing/Test.h" #include "metkit/mars2grib/api/Mars2Grib.h" #include "metkit/mars2grib/utils/mars2gribExceptions.h" CASE("mars2grib_api") { try { auto encoder = metkit::mars2grib::Mars2Grib(); eckit::LocalConfiguration mars; mars.set("origin", "ecmf"); mars.set("class", "od"); mars.set("stream", "oper"); mars.set("type", "fc"); mars.set("expver", "0001"); mars.set("grid", "N200"); mars.set("packing", "ccsds"); mars.set("param", 130); mars.set("levtype", "hl"); mars.set("levelist", 2); mars.set("date", 2026'02'05); mars.set("time", 00'00'00); mars.set("step", 0); std::vector vals(200, 237.15); encoder.encode(vals, mars); } catch (const std::exception& e) { metkit::mars2grib::utils::exceptions::printExceptionStack(e, eckit::Log::error()); std::throw_with_nested( metkit::mars2grib::utils::exceptions::Mars2GribGenericException("CPP API test failed", Here())); } } int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_matcher.cc0000664000175000017500000001475215263642712017431 0ustar alastairalastair/* * (C) Copyright 2025- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ #include "eckit/testing/Test.h" #include "metkit/mars/MarsRequest.h" #include "metkit/mars/Matcher.h" #include using namespace eckit::testing; using namespace metkit::mars; namespace metkit::test { // ---------------------------------------------------------------------------------------------------------------------- CASE("parse string with spaces") { std::map map = parseMatchString("expver=(x[0-9a-z]{3}), number = (1|2) , stream= ^enfo$ "); EXPECT_EQUAL(map.size(), 3); EXPECT(map.find("expver") != map.end()); EXPECT(map.find("number") != map.end()); EXPECT(map.find("stream") != map.end()); } CASE("parse string errors") { // Check basic parsing EXPECT_THROWS_AS(parseMatchString(""), eckit::BadValue); EXPECT_THROWS_AS(parseMatchString("expver"), eckit::BadValue); EXPECT_THROWS_AS(parseMatchString("=expver"), eckit::BadValue); EXPECT_THROWS_AS(parseMatchString("expver="), eckit::BadValue); EXPECT_THROWS_AS(parseMatchString("expver,number=(1|2)"), eckit::BadValue); EXPECT_THROWS_AS(parseMatchString("number=(1|2),number=(3|4)"), eckit::BadValue); } CASE("match basic") { Matcher match_any("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::Any); Matcher match_all("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::All); MarsRequest req("retrieve"); req.setValue("expver", "xxxx"); req.values("number", {"1", "2"}); req.setValue("stream", "enfo"); req.setValue("step ", "0"); // step is not in the matcher. This should have no effect on matching EXPECT_EQUAL(req.count(), 2); EXPECT_EQUAL(match_any.match(req), true); EXPECT_EQUAL(match_all.match(req), true); } CASE("partially matching request") { Matcher match_any("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::Any); Matcher match_all("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::All); MarsRequest req("retrieve"); req.setValue("expver", "xxxx"); req.values("number", {"1", "2", "3"}); // number=3 does not match, the others do req.setValue("stream", "enfo"); EXPECT_EQUAL(req.count(), 3); EXPECT_EQUAL(match_any.match(req), true); EXPECT_EQUAL(match_all.match(req), false); } CASE("request entirely not matching") { Matcher match_any("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::Any); Matcher match_all("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::All); MarsRequest req("retrieve"); req.setValue("expver", "yyyy"); // expver=yyyy does not match req.values("number", {"1", "2"}); req.setValue("stream", "enfo"); EXPECT_EQUAL(req.count(), 2); EXPECT_EQUAL(match_any.match(req), false); EXPECT_EQUAL(match_all.match(req), false); } CASE("match with missing keys") { Matcher match_any("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::Any); Matcher match_all("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::All); MarsRequest req("retrieve"); req.setValue("expver", "xxxx"); req.values("number", {"1", "2"}); // stream is not set: matching depends on MatchMissingPolicy EXPECT_EQUAL(req.count(), 2); EXPECT_EQUAL(match_any.match(req, Matcher::DontMatchOnMissing), false); EXPECT_EQUAL(match_all.match(req, Matcher::DontMatchOnMissing), false); EXPECT_EQUAL(match_any.match(req, Matcher::MatchOnMissing), true); EXPECT_EQUAL(match_all.match(req, Matcher::MatchOnMissing), true); } CASE("match missing key and wrong values") { // -- Combinations of the above some of the above Matcher match_any("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::Any); Matcher match_all("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::All); MarsRequest req("retrieve"); req.setValue("expver", "yyyy"); // yyyy does not match req.values("number", {"1", "2", "3"}); // number=3 does not match EXPECT_EQUAL(req.count(), 3); EXPECT_EQUAL(match_any.match(req, Matcher::DontMatchOnMissing), false); EXPECT_EQUAL(match_all.match(req, Matcher::DontMatchOnMissing), false); EXPECT_EQUAL(match_any.match(req, Matcher::MatchOnMissing), false); EXPECT_EQUAL(match_all.match(req, Matcher::MatchOnMissing), false); } CASE("match missing key but some values match") { // Missing key, but expver matches, number partially matches Matcher match_any("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::Any); Matcher match_all("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::All); MarsRequest req("retrieve"); req.setValue("expver", "xxxx"); req.values("number", {"1", "2", "3"}); EXPECT_EQUAL(match_any.match(req, Matcher::DontMatchOnMissing), false); EXPECT_EQUAL(match_all.match(req, Matcher::DontMatchOnMissing), false); EXPECT_EQUAL(match_any.match(req, Matcher::MatchOnMissing), true); EXPECT_EQUAL(match_all.match(req, Matcher::MatchOnMissing), false); } CASE("match empty request") { // Testing that this does not raise an exception Matcher match_any("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::Any); Matcher match_all("expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$", Matcher::Policy::All); MarsRequest req("retrieve"); EXPECT_EQUAL(match_any.match(req, Matcher::DontMatchOnMissing), false); EXPECT_EQUAL(match_all.match(req, Matcher::DontMatchOnMissing), false); EXPECT_EQUAL(match_any.match(req, Matcher::MatchOnMissing), true); EXPECT_EQUAL(match_all.match(req, Matcher::MatchOnMissing), true); } CASE("streaming matcher is deterministic") { Matcher matcher("stream=^enfo$, expver=(x[0-9a-z]{3}), number=(1|2)", Matcher::Policy::Any); std::ostringstream oss; oss << matcher; EXPECT_EQUAL(oss.str(), "{expver=(x[0-9a-z]{3}),number=(1|2),stream=^enfo$}"); } // ---------------------------------------------------------------------------------------------------------------------- } // namespace metkit::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/pymetkit/0000775000175000017500000000000015263642712016275 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/integration/0000775000175000017500000000000015263642712020620 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/integration/test_threading.py0000664000175000017500000000651215263642712024202 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 """Thread-safety tests for concurrent MARS request expansion. Each thread creates its own MarsExpansion instance; the only shared state is the static YAML tables loaded once via pthread_once. The GIL is released for the duration of the C++ expansion call, so threads genuinely run in parallel. """ from concurrent.futures import ThreadPoolExecutor, as_completed import pytest from pymetkit import MarsRequest, expand def _make_requests(count): return [MarsRequest("retrieve", {"class": "od", "date": "-1", "param": str(130 + i % 20)}) for i in range(count)] def _try_expand_one(request): """Used as the probe in the expandable fixture.""" expand(request) # Fixtures @pytest.fixture(scope="module") def base_requests(): return _make_requests(40) @pytest.fixture(scope="module") def expanded_reference(base_requests): """Sequential reference expansion; skips when language defs are absent.""" try: return expand(base_requests) except Exception as error: pytest.skip(f"MARS language definitions unavailable: {error}") # Tests def test_concurrent_expand_batches(base_requests, expanded_reference): """Split requests into 4 batches and expand each in a separate thread.""" n_workers = 10 batch_size = len(base_requests) // n_workers # Split into equal-sized batches. batches = [base_requests[i * batch_size : (i + 1) * batch_size] for i in range(n_workers)] results = [] with ThreadPoolExecutor(max_workers=n_workers) as pool: futures = {pool.submit(expand, batch): i for i, batch in enumerate(batches)} # Collect in submission order so we can compare against the reference. ordered = [None] * n_workers for future in as_completed(futures): ordered[futures[future]] = future.result() results = [req for batch in ordered for req in batch] assert len(results) == len(expanded_reference) for got, expected in zip(results, expanded_reference): assert got.verb() == expected.verb() assert got["date"] == expected["date"] assert got["class"] == expected["class"] def test_concurrent_expand_singles(base_requests, expanded_reference): """Expand each request individually in its own thread.""" with ThreadPoolExecutor(max_workers=20) as pool: futures = [pool.submit(expand, req) for req in base_requests] results = [f.result() for f in futures] assert len(results) == len(expanded_reference) for got, expected in zip(results, expanded_reference): assert got.verb() == expected.verb() assert got["date"] == expected["date"] def test_concurrent_no_cross_contamination(base_requests): """Requests expanded in parallel must match those expanded sequentially. Catches races where threads corrupt each other's MarsLanguage cache. """ try: sequential = expand(base_requests) except Exception as error: pytest.skip(f"MARS language definitions unavailable: {error}") with ThreadPoolExecutor(max_workers=4) as pool: futures = [pool.submit(expand, req) for req in base_requests] parallel = [f.result() for f in futures] for got, expected in zip(parallel, sequential): assert repr(got) == repr(expected) metkit-1.22.0/tests/pymetkit/integration/test_marsrequest.py0000664000175000017500000001053515263642712024610 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 from contextlib import nullcontext as does_not_raise from datetime import datetime, timedelta import pytest from pymetkit import MarsRequest, MetKitException, expand, parse_mars_request request = """ retrieve, class=od, domain=g, expver=0001, levtype=sfc, stream=enfo, date=-1, time=12, param=151.128, grid=O640, step=0/to/24/by/6, target=test.grib, type=em retrieve, class=od, domain=g, expver=0001, levtype=pl, stream=enfo, date=-1, time=12, param=129, levelist=500, grid=O640, step=0/to/24/by/6, target=test.grib, type=em """ yesterday = (datetime.today() - timedelta(days=1)).strftime("%Y%m%d") def test_parse_file(tmpdir): request_file = f"{tmpdir}/requests" with open(request_file, "w") as f: f.write(request) requests = parse_mars_request(open(request_file, "r")) assert len(requests) == 2 for req in requests: assert req.verb() == "retrieve" assert len(req["step"]) == 5 assert req["date"] == yesterday assert "class" in requests[0] assert requests[1]["levelist"] == "500" def test_parse_string(): requests = parse_mars_request(request) assert len(requests) == 2 for req in requests: assert req.num_values("step") == 5 requests = parse_mars_request( "retrieve,class=od,date=-1,time=12,param=129,step=12,target=test.grib" ) assert len(requests) == 1 assert requests[0].num_values("step") == 1 def test_empty_request(tmpdir): request_file = f"{tmpdir}/requests" with open(request_file, "w") as f: f.write("") requests = parse_mars_request(open(request_file, "r")) assert len(requests) == 0 def test_new_request(): req = MarsRequest("retrieve") assert req.verb() == "retrieve" req = MarsRequest("request", {"class": "od", "type": "pf", "date": ["20200101", "20200102"]}) assert req["class"] == "od" assert req["type"] == "pf" assert req["date"] == ["20200101", "20200102"] def test_request_from_selection(): req = MarsRequest("retrieve", {"class": "od", "param": [151, 129]}) assert req["class"] == "od" assert req["param"] == ["151", "129"] def test_request_from_expand(): req = MarsRequest( "retrieve", { "class": "od", "domain": "g", "date": "-1", "expver": "0001", "step": range(0, 13, 6), }, ) expanded = expand(req) assert expanded.verb() == req.verb() assert expanded["date"] == yesterday assert "param" in expanded expanded.validate() @pytest.mark.parametrize( "extra_kv", [ {"class": "invalid"}, ], ) def test_request_validate(extra_kv): request = { "class": "od", "domain": "g", "date": "-1", "expver": "0001", "step": range(0, 13, 6), "levtype": "sfc", } request.update(extra_kv) req = MarsRequest("retrieve", request) with pytest.raises(MetKitException): req.validate() @pytest.mark.parametrize( "extra_kv, expectation", [ [{"levtype": "pl", "date": "-1"}, pytest.raises(MetKitException)], [{"levtype": "sfc", "date": "-1", "type": "em"}, pytest.raises(ValueError)], [{"levtype": "sfc", "date": "20230101"}, does_not_raise()], ], ) def test_request_merge(extra_kv, expectation): request = { "class": "od", "domain": "g", "expver": "0001", "step": range(0, 13, 6), } req = MarsRequest("retrieve", {**request, "date": "-1", "levtype": "sfc"}) other_req = MarsRequest("retrieve", {**request, **extra_kv}) with expectation: req.merge(other_req) @pytest.mark.parametrize( "updates, expected", [ [{"date": 20230101, "param": 130}, True], [{"step": [0, 6, 12]}, True], [{"param": 131}, False], ], ) def test_request_equality(updates, expected): init_request = { "class": "od", "domain": "g", "date": "20230101", "param": "130", "expver": "0001", "step": range(0, 13, 6), } req = MarsRequest("retrieve", init_request) req2 = MarsRequest("retrieve", {**init_request, **updates}) assert (req == req2) == expected metkit-1.22.0/tests/pymetkit/integration/test_paramdb.py0000664000175000017500000013262315263642712023646 0ustar alastairalastairfrom contextlib import nullcontext as does_not_raise import json from datetime import datetime, timedelta, timezone from unittest.mock import MagicMock, patch import pytest import pymetkit import pymetkit.paramdb._db as _mod from pymetkit.paramdb import ParamDB, ParameterEntry, ParamIDCandidate, AmbiguousParamError import pydantic # --------------------------------------------------------------------------- # Fixtures # --------------------------------------------------------------------------- @pytest.fixture(scope="module") def db(): """Shared offline ParamDB instance (loaded once per test module).""" return ParamDB() # --------------------------------------------------------------------------- # Construction / mode validation # --------------------------------------------------------------------------- @pytest.mark.parametrize( "mode, expectation", [ ["offline", does_not_raise()], ["online", does_not_raise()], ["invalid", pytest.raises(ValueError)], ["OFFLINE", pytest.raises(ValueError)], ], ) def test_constructor_mode_validation(mode, expectation): """Only 'online' and 'offline' are accepted mode values. The online case is patched so that no real HTTP request is made; only the mode-parsing logic is exercised here. """ with patch.object(pymetkit.paramdb.ParamDB, "_load_online", return_value=None): with expectation: ParamDB(mode=mode) def test_offline_default(): """ParamDB() with no arguments loads data on first access.""" db = ParamDB() # Nothing loaded yet — indices empty until first lookup. assert db._loaded is False # First lookup triggers the load. assert db.param_id_to_shortname(1) == "strf" assert db._loaded is True assert len(db._by_id) > 0 assert len(db._by_shortname) > 0 assert len(db._by_longname) > 0 def test_online_requires_requests(monkeypatch): """Online mode raises ImportError when the requests package is absent.""" monkeypatch.setattr(_mod, "_requests", None) db = ParamDB(mode="online") with pytest.raises(ImportError, match="requests"): db.param_id_to_shortname(1) # --------------------------------------------------------------------------- # _normalise (static helper) # --------------------------------------------------------------------------- def test_normalise_accepts_canonical_keys(): """Canonical ``shortname``/``longname`` keys validate and round-trip.""" result = ParamDB._normalise( {"id": 1, "shortname": "strf", "longname": "Stream function"} ) assert result["shortname"] == "strf" assert result["longname"] == "Stream function" @pytest.mark.parametrize( "raw, missing_field", [ # CamelCase aliases are NOT accepted — canonical keys only. [{"id": 1, "shortName": "strf", "longName": "Stream function"}, "shortname"], # snake_case aliases are NOT accepted. [{"id": 1, "short_name": "strf", "long_name": "Stream function"}, "shortname"], # 'name' is not a longname fallback. [{"id": 1, "shortname": "strf", "name": "Stream function"}, "longname"], ], ) def test_normalise_rejects_key_aliases(raw, missing_field): """Raw API alias spellings are rejected; only canonical keys are valid.""" with pytest.raises(pydantic.ValidationError) as excinfo: ParamDB._normalise(raw) assert excinfo.value.errors()[0]["loc"] == (missing_field,) def test_normalise_coerces_id_to_int(): result = ParamDB._normalise({"id": "42", "shortname": "foo", "longname": "Foo"}) assert result["id"] == 42 assert isinstance(result["id"], int) def test_normalise_preserves_extra_fields(): raw = { "id": 1, "shortname": "strf", "longname": "Stream function", "units": "m**2 s**-1", } result = ParamDB._normalise(raw) assert result["units"] == "m**2 s**-1" # --------------------------------------------------------------------------- # param_id_to_shortname / param_id_to_longname # --------------------------------------------------------------------------- @pytest.mark.parametrize( "param_id, expected_shortname", [ [1, "strf"], [4, "eqpt"], [6, "ssfr"], ], ) def test_param_id_to_shortname(db, param_id, expected_shortname): assert db.param_id_to_shortname(param_id) == expected_shortname def test_param_id_to_shortname_unknown(db): with pytest.raises(KeyError): db.param_id_to_shortname(999_999_999) @pytest.mark.parametrize( "param_id, expected_longname", [ [1, "Stream function"], [4, "Equivalent potential temperature"], [6, "Soil sand fraction"], ], ) def test_param_id_to_longname(db, param_id, expected_longname): assert db.param_id_to_longname(param_id) == expected_longname def test_param_id_to_longname_unknown(db): with pytest.raises(KeyError): db.param_id_to_longname(999_999_999) # --------------------------------------------------------------------------- # shortname_to_longname / shortname_to_param_id # --------------------------------------------------------------------------- @pytest.mark.parametrize( "shortname, expected_longname", [ ["strf", "Stream function"], ["eqpt", "Equivalent potential temperature"], ["ssfr", "Soil sand fraction"], ], ) def test_shortname_to_longname(db, shortname, expected_longname): assert db.shortname_to_longname(shortname) == expected_longname def test_shortname_to_longname_unknown(db): with pytest.raises(KeyError): db.shortname_to_longname("not_a_real_shortname_xyz") def test_shortname_to_longname_ambiguous_raises(db): """An unqualified collision raises AmbiguousParamError with candidates.""" with pytest.raises(AmbiguousParamError) as exc: db.shortname_to_longname("t") assert len(exc.value.candidates) > 1 assert all(isinstance(c, ParamIDCandidate) for c in exc.value.candidates) def test_shortname_to_longname_default_picks_canonical(db): """default=True returns the canonical (first-sorted) candidate's long name. This must match the id chosen by shortname_to_param_id(default=True). """ canonical_id = db.shortname_to_param_id("t", default=True) expected = db.param_id_to_longname(canonical_id) assert db.shortname_to_longname("t", default=True) == expected def test_shortname_to_longname_filter_disambiguates(db): """A hard filter that narrows to one candidate resolves without raising.""" # 't' id=130 encodes to table 128; the table filter selects it uniquely. assert db.shortname_to_longname("t", table=128) == "Temperature" @pytest.mark.parametrize( "shortname, expected_id", [ ["strf", 1], ["eqpt", 4], ["ssfr", 6], ], ) def test_shortname_to_param_id(db, shortname, expected_id): assert db.shortname_to_param_id(shortname) == expected_id def test_shortname_to_param_id_unknown(db): with pytest.raises(KeyError): db.shortname_to_param_id("not_a_real_shortname_xyz") # --------------------------------------------------------------------------- # longname_to_shortname / longname_to_param_id # --------------------------------------------------------------------------- @pytest.mark.parametrize( "longname, expected_shortname", [ # Use entries where the longname is unique in the DB (last-write-wins) ["Equivalent potential temperature", "eqpt"], ["Soil sand fraction", "ssfr"], ["Soil clay fraction", "scfr"], ], ) def test_longname_to_shortname(db, longname, expected_shortname): assert db.longname_to_shortname(longname) == expected_shortname def test_longname_to_shortname_unknown(db): with pytest.raises(KeyError): db.longname_to_shortname("Not A Real Long Name XYZ") @pytest.mark.parametrize( "longname, expected_id", [ ["Equivalent potential temperature", 4], ["Soil sand fraction", 6], ["Soil clay fraction", 7], ], ) def test_longname_to_param_id(db, longname, expected_id): assert db.longname_to_param_id(longname) == expected_id def test_longname_to_param_id_unknown(db): with pytest.raises(KeyError): db.longname_to_param_id("Not A Real Long Name XYZ") # --------------------------------------------------------------------------- # Roundtrip consistency # --------------------------------------------------------------------------- @pytest.mark.parametrize("param_id", [1, 4, 6]) def test_roundtrip_id_shortname(db, param_id): shortname = db.param_id_to_shortname(param_id) assert db.shortname_to_param_id(shortname) == param_id @pytest.mark.parametrize("param_id", [4, 6, 7]) def test_roundtrip_id_longname(db, param_id): longname = db.param_id_to_longname(param_id) assert db.longname_to_param_id(longname) == param_id # --------------------------------------------------------------------------- # get_metadata # --------------------------------------------------------------------------- def test_get_metadata_by_int(db): meta = db.get_metadata(1) assert meta["id"] == 1 assert meta["shortname"] == "strf" assert meta["longname"] == "Stream function" def test_get_metadata_by_shortname(db): meta = db.get_metadata("strf") assert meta["id"] == 1 def test_get_metadata_by_longname(db): # Use a longname that is unique in the DB (no later entry overwrites it) meta = db.get_metadata("Equivalent potential temperature") assert meta["id"] == 4 def test_get_metadata_by_numeric_string(db): """A string that looks like an integer should resolve via param id.""" meta = db.get_metadata("1") assert meta["id"] == 1 assert meta["shortname"] == "strf" def test_get_metadata_unknown_raises(db): with pytest.raises(KeyError): db.get_metadata(999_999_999) def test_get_metadata_unknown_string_raises(db): with pytest.raises(KeyError): db.get_metadata("not_a_param_xyz") def test_get_metadata_returns_dict(db): meta = db.get_metadata(1) assert isinstance(meta, dict) # --------------------------------------------------------------------------- # get_units # --------------------------------------------------------------------------- @pytest.mark.parametrize( "identifier, expected_units", [ [1, "m**2 s**-1"], ["strf", "m**2 s**-1"], # Use a stable longname for the longname-based lookup ["Equivalent potential temperature", "K"], [6, "(0 - 1)"], ["ssfr", "(0 - 1)"], ], ) def test_get_units(db, identifier, expected_units): assert db.get_units(identifier) == expected_units def test_get_units_unknown_raises(db): with pytest.raises(KeyError): db.get_units(999_999_999) def test_get_units_missing_returns_unknown(): """When a parameter entry has no 'units' key, get_units returns 'unknown'.""" db = ParamDB.__new__(ParamDB) db._loaded = True # bypass lazy load — indices are set manually below db._by_id = {9999: {"id": 9999, "shortname": "foo", "longname": "Foo"}} db._by_shortname = {"foo": db._by_id[9999]} db._by_longname = {"Foo": db._by_id[9999]} assert db.get_units(9999) == "unknown" def test_get_units_empty_string_returns_unknown(): """When a parameter's units value is an empty string, get_units returns 'unknown'.""" db = ParamDB.__new__(ParamDB) db._loaded = True # bypass lazy load — indices are set manually below entry = {"id": 9998, "shortname": "bar", "longname": "Bar", "units": ""} db._by_id = {9998: entry} db._by_shortname = {"bar": entry} db._by_longname = {"Bar": entry} assert db.get_units(9998) == "unknown" # --------------------------------------------------------------------------- # Online caching # --------------------------------------------------------------------------- #: Minimal parameter list returned by a mocked API response. _FAKE_PARAMS = [ { "id": 1, "shortname": "strf", "longname": "Stream function", "units": "m**2 s**-1", }, { "id": 4, "shortname": "eqpt", "longname": "Equivalent potential temperature", "units": "K", }, ] @pytest.fixture() def fake_requests(monkeypatch): """Monkeypatch the requests module with a mock that returns _FAKE_PARAMS.""" mock_resp = MagicMock() mock_resp.json.return_value = _FAKE_PARAMS mock_requests = MagicMock() mock_requests.get.return_value = mock_resp monkeypatch.setattr(_mod, "_requests", mock_requests) return mock_requests def test_cache_ttl_must_be_timedelta(fake_requests, tmp_path): """Passing a non-timedelta cache_ttl raises TypeError.""" with pytest.raises(TypeError, match="timedelta"): ParamDB(mode="online", cache_ttl=3600, cache_path=tmp_path) def test_online_writes_cache_file(fake_requests, tmp_path): """First online load writes a JSON cache file to the cache directory.""" db = ParamDB(mode="online", cache_path=tmp_path) db.param_id_to_shortname(1) # trigger lazy load cache_file = tmp_path / ParamDB._CACHE_FILENAME assert cache_file.exists() payload = json.loads(cache_file.read_text()) assert "fetched_at" in payload assert "params" in payload # Cache stores normalised entries (with defaults for optional fields) for cached, original in zip(payload["params"], _FAKE_PARAMS): assert cached["id"] == original["id"] assert cached["shortname"] == original["shortname"] assert cached["longname"] == original["longname"] assert cached["units"] == original["units"] def test_online_uses_fresh_cache(fake_requests, tmp_path): """A second instantiation within the TTL window does not make an HTTP request.""" db1 = ParamDB(mode="online", cache_path=tmp_path) db1.param_id_to_shortname(1) # trigger lazy load → writes cache assert fake_requests.get.call_count == 1 db2 = ParamDB(mode="online", cache_path=tmp_path, cache_ttl=timedelta(hours=1)) db2.param_id_to_shortname(1) # should read from cache assert fake_requests.get.call_count == 1 # no new request def test_online_fetches_when_cache_expired(fake_requests, tmp_path): """An expired cache entry triggers a fresh HTTP request.""" # Write a cache file whose timestamp is in the past old_time = datetime.now(tz=timezone.utc) - timedelta(hours=2) payload = {"fetched_at": old_time.isoformat(), "params": _FAKE_PARAMS} cache_file = tmp_path / ParamDB._CACHE_FILENAME cache_file.write_text(json.dumps(payload)) db = ParamDB(mode="online", cache_path=tmp_path, cache_ttl=timedelta(hours=1)) db.param_id_to_shortname(1) # trigger lazy load assert fake_requests.get.call_count == 1 # stale cache → new request def test_online_fetches_when_cache_not_yet_expired(fake_requests, tmp_path): """A cache entry within the TTL does NOT trigger a new request.""" recent_time = datetime.now(tz=timezone.utc) - timedelta(minutes=30) payload = {"fetched_at": recent_time.isoformat(), "params": _FAKE_PARAMS} cache_file = tmp_path / ParamDB._CACHE_FILENAME cache_file.write_text(json.dumps(payload)) db = ParamDB(mode="online", cache_path=tmp_path, cache_ttl=timedelta(hours=1)) db.param_id_to_shortname(1) # trigger lazy load assert fake_requests.get.call_count == 0 # fresh cache → no request def test_online_zero_ttl_bypasses_cache(fake_requests, tmp_path): """cache_ttl=timedelta(0) disables caching: always fetches and never writes a file.""" db1 = ParamDB(mode="online", cache_path=tmp_path, cache_ttl=timedelta(0)) db1.param_id_to_shortname(1) # trigger lazy load assert fake_requests.get.call_count == 1 assert not (tmp_path / ParamDB._CACHE_FILENAME).exists() db2 = ParamDB(mode="online", cache_path=tmp_path, cache_ttl=timedelta(0)) db2.param_id_to_shortname(1) # trigger lazy load assert fake_requests.get.call_count == 2 # second call also fetches def test_online_corrupt_cache_falls_back_to_fetch(fake_requests, tmp_path): """A corrupt/unreadable cache file is ignored and a fresh request is made.""" cache_file = tmp_path / ParamDB._CACHE_FILENAME cache_file.write_text("this is not valid json {{{") db = ParamDB(mode="online", cache_path=tmp_path, cache_ttl=timedelta(hours=1)) db.param_id_to_shortname(1) # trigger lazy load assert fake_requests.get.call_count == 1 def test_online_cache_overwrites_after_expiry(fake_requests, tmp_path): """After a stale cache triggers a fetch, the cache file is updated.""" old_time = datetime.now(tz=timezone.utc) - timedelta(hours=2) payload = {"fetched_at": old_time.isoformat(), "params": _FAKE_PARAMS} cache_file = tmp_path / ParamDB._CACHE_FILENAME cache_file.write_text(json.dumps(payload)) db = ParamDB(mode="online", cache_path=tmp_path, cache_ttl=timedelta(hours=1)) db.param_id_to_shortname(1) # trigger lazy load updated = json.loads(cache_file.read_text()) updated_time = datetime.fromisoformat(updated["fetched_at"]) if updated_time.tzinfo is None: updated_time = updated_time.replace(tzinfo=timezone.utc) assert updated_time > old_time def test_online_cache_data_is_usable(fake_requests, tmp_path): """Data loaded from cache round-trips correctly through _normalise and _index.""" # Populate the cache via first instance's lazy load. db1 = ParamDB(mode="online", cache_path=tmp_path) db1.param_id_to_shortname(1) # trigger lazy load → writes cache assert fake_requests.get.call_count == 1 # Second instance should read from cache — no extra network call. db2 = ParamDB(mode="online", cache_path=tmp_path, cache_ttl=timedelta(hours=1)) assert db2.param_id_to_shortname(1) == "strf" assert db2.param_id_to_shortname(4) == "eqpt" assert fake_requests.get.call_count == 1 # still only the first call used the network def test_online_no_platformdirs_no_cache_dir(fake_requests, tmp_path, monkeypatch): """When platformdirs is unavailable and no cache_path is given, caching is silently skipped and the data is still loaded correctly.""" monkeypatch.setattr(_mod, "_platformdirs", None) db = ParamDB(mode="online") # no cache_path, no platformdirs assert db.param_id_to_shortname(1) == "strf" # trigger lazy load assert fake_requests.get.call_count == 1 def test_online_default_ttl_is_one_hour(): """The documented default TTL is exactly one hour.""" assert ParamDB._DEFAULT_CACHE_TTL == timedelta(hours=1) # --------------------------------------------------------------------------- # yaml_path parameter # --------------------------------------------------------------------------- #: Minimal YAML content used by the yaml_path tests. _CUSTOM_YAML = """\ - id: 101 shortname: cust1 longname: Custom param one units: m s**-1 description: First custom parameter - id: 102 shortname: cust2 longname: Custom param two units: K description: Second custom parameter """ #: Same data with alternate (non-canonical) key names. These alias spellings are #: rejected: ParamDB accepts canonical ``shortname``/``longname`` keys only. _CUSTOM_YAML_ALIASES = """\ - id: 201 shortName: alias1 longName: Alias param one units: Pa - id: 202 short_name: alias2 long_name: Alias param two units: kg m**-3 """ @pytest.fixture() def custom_yaml(tmp_path): """Write _CUSTOM_YAML to a temporary file and return its Path.""" p = tmp_path / "custom_params.yaml" p.write_text(_CUSTOM_YAML) return p @pytest.fixture() def custom_yaml_aliases(tmp_path): """Write _CUSTOM_YAML_ALIASES to a temporary file and return its Path.""" p = tmp_path / "alias_params.yaml" p.write_text(_CUSTOM_YAML_ALIASES) return p def test_yaml_path_loads_custom_file(custom_yaml): """yaml_path pointing at a valid YAML file loads without error.""" db = ParamDB(yaml_path=custom_yaml) assert db.param_id_to_shortname(101) == "cust1" assert db.param_id_to_shortname(102) == "cust2" def test_yaml_path_as_string(custom_yaml): """yaml_path accepts a plain string as well as a Path object.""" db = ParamDB(yaml_path=str(custom_yaml)) assert db.param_id_to_shortname(101) == "cust1" def test_yaml_path_data_is_used_not_default(custom_yaml): """Custom YAML is actually loaded; the standard DB entries are NOT present.""" db = ParamDB(yaml_path=custom_yaml) # Custom entries exist assert db.param_id_to_shortname(101) == "cust1" # Standard entry is absent with pytest.raises(KeyError): db.param_id_to_shortname(1) def test_yaml_path_full_lookup_chain(custom_yaml): """All three lookup indices work correctly for a custom YAML file.""" db = ParamDB(yaml_path=custom_yaml) # id → shortname / longname assert db.param_id_to_shortname(101) == "cust1" assert db.param_id_to_longname(101) == "Custom param one" # shortname → id / longname assert db.shortname_to_param_id("cust1") == 101 assert db.shortname_to_longname("cust1") == "Custom param one" # longname → id / shortname assert db.longname_to_param_id("Custom param one") == 101 assert db.longname_to_shortname("Custom param one") == "cust1" def test_yaml_path_get_metadata(custom_yaml): """get_metadata works for all identifier types with a custom YAML file.""" db = ParamDB(yaml_path=custom_yaml) assert db.get_metadata(101)["shortname"] == "cust1" assert db.get_metadata("cust1")["id"] == 101 assert db.get_metadata("Custom param one")["id"] == 101 assert db.get_metadata("101")["shortname"] == "cust1" def test_yaml_path_get_units(custom_yaml): """get_units returns the correct value from a custom YAML file.""" db = ParamDB(yaml_path=custom_yaml) assert db.get_units(101) == "m s**-1" assert db.get_units(102) == "K" def test_yaml_path_rejects_key_aliases(custom_yaml_aliases): """Alternate key names (shortName, longName, etc.) are rejected on load.""" db = ParamDB(yaml_path=custom_yaml_aliases) # Loading is lazy; the alias entries fail canonical validation on first access. with pytest.raises(pydantic.ValidationError): db.param_id_to_shortname(201) def test_yaml_path_missing_file_raises(tmp_path): """A yaml_path that does not exist raises FileNotFoundError on first lookup.""" missing = tmp_path / "does_not_exist.yaml" db = ParamDB(yaml_path=missing) with pytest.raises(FileNotFoundError): db.param_id_to_shortname(1) def test_yaml_path_with_online_mode_raises(custom_yaml): """Combining yaml_path with mode='online' raises ValueError.""" with pytest.raises(ValueError, match="yaml_path"): ParamDB(mode="online", yaml_path=custom_yaml) def test_yaml_path_none_loads_default_yaml(): """yaml_path=None (the default) loads the standard parameter_metadata.yaml.""" db = ParamDB(yaml_path=None) # The standard DB has many entries; a well-known entry should be present. assert db.param_id_to_shortname(1) == "strf" assert len(db._by_id) > 100 # --------------------------------------------------------------------------- # Shortname collision / context-aware lookup # --------------------------------------------------------------------------- def test_shortname_default_returns_lowest_id(db): """Without context, a colliding shortname raises AmbiguousParamError. 't' maps to both 130 (ECMWF table 128) and 500014 (table 500). The v2 API never guesses: with no context/filters the call raises, and the error carries every candidate for the caller to disambiguate. """ with pytest.raises(AmbiguousParamError) as exc: db.shortname_to_param_id("t") assert exc.value.shortname == "t" assert {c.param_id for c in exc.value.candidates} == {130, 500014} def test_shortname_to_param_id_with_table_128(db): """table=128 selects the classic ECMWF parameter.""" assert db.shortname_to_param_id("t", table=128) == 130 def test_shortname_to_param_id_with_table_500(db): """table=500 selects the non-ECMWF (table-500) parameter.""" assert db.shortname_to_param_id("t", table=500) == 500014 def test_shortname_to_longname_with_table(db): """table context is forwarded correctly through shortname_to_longname.""" assert db.shortname_to_longname("t", table=128) == "Temperature" assert db.shortname_to_longname("t", table=500) == "Temperature" def test_shortname_to_param_id_with_origin_ecmwf(db): """origin=98 (ECMWF) selects the canonical ECMWF parameter.""" assert db.shortname_to_param_id("t", origin=98) == 130 def test_shortname_to_param_id_with_access_dissemination(db): """access='dissemination' filters to dissemination parameters.""" # 't' id=130 has dissemination; result must be 130. assert db.shortname_to_param_id("t", access="dissemination") == 130 def test_shortname_to_param_id_unknown_table_raises(db): """Requesting a table that has no entry for the shortname raises KeyError.""" with pytest.raises(KeyError, match="table=999"): db.shortname_to_param_id("t", table=999) def test_shortname_to_param_id_unknown_origin_raises(db): """Requesting an origin with no entry for the shortname raises KeyError.""" with pytest.raises(KeyError, match="origin=9999"): db.shortname_to_param_id("t", origin=9999) def test_shortname_to_param_id_unknown_access_raises(db): """Requesting an access value with no matching entry raises KeyError.""" with pytest.raises(KeyError, match="access="): db.shortname_to_param_id("strf", access="nonexistent_access") def test_get_all_by_shortname_returns_all_candidates(db): """get_all_by_shortname returns every entry for a colliding shortname.""" entries = db.get_all_by_shortname("t") ids = [e["id"] for e in entries] assert 130 in ids assert 500014 in ids # Results are sorted ascending by id assert ids == sorted(ids) # --------------------------------------------------------------------------- # v2 candidate API: shortname_to_param_id_candidates + AmbiguousParamError # --------------------------------------------------------------------------- _needs_lib = pytest.mark.skipif( not pymetkit.paramdb._HAVE_EXPAND, reason="requires the pymetkit extension (MarsRequest.expand) for context= resolution", ) def test_candidates_unique_shortname(db): """A unique shortname yields a single candidate; singular call returns int.""" cands = db.shortname_to_param_id_candidates("msl") assert len(cands) == 1 assert isinstance(cands[0], ParamIDCandidate) assert cands[0].param_id == 151 assert db.shortname_to_param_id("msl") == 151 def test_candidates_collision_returns_all(db): """A colliding shortname returns every candidate, sorted by table.""" cands = db.shortname_to_param_id_candidates("tp") assert {c.param_id for c in cands} == {228, 228228} tables = [c.table for c in cands] assert tables == sorted(tables) def test_candidate_exposes_full_origin_and_access_lists(db): """Candidate origin/access are the full metadata lists.""" (cand,) = db.shortname_to_param_id_candidates("msl") meta = db.get_metadata(151) assert cand.origin == list(meta.get("origin_ids", [])) assert cand.access == list(meta.get("access_ids", [])) def test_ambiguous_error_carries_candidates(db): """No context on a collision raises AmbiguousParamError with candidates.""" with pytest.raises(AmbiguousParamError) as exc: db.shortname_to_param_id("tp") assert exc.value.shortname == "tp" assert {c.param_id for c in exc.value.candidates} == {228, 228228} def test_ambiguous_candidates_have_none_context(db): """Candidates (in the error and the discovery API) carry no MARS context.""" with pytest.raises(AmbiguousParamError) as exc: db.shortname_to_param_id("tp") assert all(c.mars_request_context is None for c in exc.value.candidates) cands = db.shortname_to_param_id_candidates("tp") assert all(c.mars_request_context is None for c in cands) def test_default_true_returns_canonical(db): """default=True returns the first-sorted (canonical) id instead of raising.""" assert db.shortname_to_param_id("tp", default=True) == 228 def test_default_true_unique_still_int(db): """default=True on a unique shortname is a no-op (still returns the int).""" assert db.shortname_to_param_id("msl", default=True) == 151 def test_candidates_table_filter_narrows_to_one(db): """A table hard-filter reduces the candidate list to a single entry.""" cands = db.shortname_to_param_id_candidates("tp", table=228) assert len(cands) == 1 assert cands[0].param_id == 228228 def test_candidates_unknown_shortname_raises(db): with pytest.raises(KeyError): db.shortname_to_param_id_candidates("not_a_real_shortname_xyz") def test_candidates_filter_no_match_raises(db): with pytest.raises(KeyError, match="table=999"): db.shortname_to_param_id_candidates("tp", table=999) @_needs_lib def test_context_resolves_tp_class_od(db): """context={'class': 'od'} resolves tp to 228 via the C++ expand engine.""" assert db.shortname_to_param_id("tp", context={"class": "od"}) == 228 @_needs_lib def test_context_resolves_tp_full_ai(db): """Full ai context resolves tp to 228228.""" ctx = {"class": "ai", "stream": "oper", "type": "fc", "levtype": "sfc"} assert db.shortname_to_param_id("tp", context=ctx) == 228228 @_needs_lib def test_context_and_filter_combined(db): """context and hard filters compose to a single result.""" ctx = {"class": "ai", "stream": "oper", "type": "fc", "levtype": "sfc"} assert db.shortname_to_param_id("tp", context=ctx, access="dissemination") == 228228 @_needs_lib def test_candidate_context_roundtrips(db): """Each candidate's advertised context selects its own id. ``{}`` (default) and any non-empty context must round-trip through ``context=``; a ``None`` context means no MARS context can select it, so it is validated via its hard-filter selector instead. A ``None`` hard-filter selector means no hard filter uniquely identifies the candidate, so that candidate is skipped (nothing to round-trip). """ for cand in db.shortname_to_param_id_candidates("tp"): if cand.mars_request_context is None: if cand.hard_filter_selector is None: # No unique hard-filter selector exists for this candidate. continue got = db.shortname_to_param_id("tp", **cand.hard_filter_selector) else: got = db.shortname_to_param_id("tp", context=cand.mars_request_context) assert got == cand.param_id @_needs_lib def test_empty_context_resolves_default_but_bare_raises(db): """context={} resolves the canonical id; no context stays ambiguous.""" from pymetkit.paramdb import AmbiguousParamError # explicit empty context -> canonical/default via C++ expand assert db.shortname_to_param_id("sst", context={}) == 34 assert db.shortname_to_param_id("tp", context={}) == 228 # no context argument -> still ambiguous with pytest.raises(AmbiguousParamError): db.shortname_to_param_id("sst") @_needs_lib def test_candidate_context_none_and_default(db): """Candidate context is temporarily deferred: all carry None for now. Per-candidate MARS context computation is disabled, so every candidate's ``mars_request_context`` is ``None`` regardless of whether it is the default. The hard-filter selector still identifies each id. """ from pymetkit.paramdb import AmbiguousParamError try: db.shortname_to_param_id("sst") except AmbiguousParamError as e: by_id = {c.param_id: c for c in e.candidates} assert by_id[34].mars_request_context is None assert by_id[151159].mars_request_context is None assert by_id[151159].hard_filter_selector["table"] == 151 def test_get_all_by_shortname_unique_shortname(db): """get_all_by_shortname returns a single-element list for a unique shortname.""" entries = db.get_all_by_shortname("strf") assert len(entries) == 1 assert entries[0]["id"] == 1 def test_get_all_by_shortname_unknown_raises(db): with pytest.raises(KeyError): db.get_all_by_shortname("not_a_real_shortname_xyz") def test_shortname_has_collisions_true(db): """shortname_has_collisions returns True for a known colliding shortname.""" assert db.shortname_has_collisions("t") is True def test_shortname_has_collisions_false(db): """shortname_has_collisions returns False for a unique shortname.""" assert db.shortname_has_collisions("strf") is False def test_shortname_has_collisions_unknown_raises(db): with pytest.raises(KeyError): db.shortname_has_collisions("not_a_real_shortname_xyz") def test_table_from_id_classic_ecmwf(): """IDs below 1000 decode to table 128 (classic ECMWF).""" assert ParamDB._table_from_id(130) == 128 assert ParamDB._table_from_id(1) == 128 assert ParamDB._table_from_id(999) == 128 def test_table_from_id_non_128_ecmwf(): """IDs in the 1000–999999 range decode to table = id // 1000.""" assert ParamDB._table_from_id(228228) == 228 assert ParamDB._table_from_id(140232) == 140 assert ParamDB._table_from_id(500014) == 500 def test_table_from_id_center_namespaced(): """IDs >= 1_000_000 decode the table from the middle digits.""" # 7001292 → center=7, table=1, param=292 assert ParamDB._table_from_id(7001292) == 1 # 85001156 → center=85, table=1, param=156 assert ParamDB._table_from_id(85001156) == 1 def test_center_from_id_below_million(): """IDs below 1_000_000 have no centre (returns None).""" assert ParamDB._center_from_id(130) is None assert ParamDB._center_from_id(228228) is None def test_center_from_id_above_million(): """IDs >= 1_000_000 decode the centre correctly.""" assert ParamDB._center_from_id(7001292) == 7 assert ParamDB._center_from_id(85001156) == 85 def test_default_resolution_prefers_dissemination_then_ecmwf(db): """A table filter selects the ECMWF dissemination parameter unambiguously.""" # 't' → 130 has dissemination + origin 98 and encodes to table 128; # 500014 encodes to table 500. table=128 narrows to the single ECMWF id. assert db.shortname_to_param_id("t", table=128) == 130 def test_origin_ids_stored_in_metadata(db): """origin_ids field is present and populated for well-known params.""" meta = db.get_metadata(130) assert "origin_ids" in meta assert 98 in meta["origin_ids"] # ECMWF def test_access_ids_stored_in_metadata(db): """access_ids field is present for well-known dissemination params.""" meta = db.get_metadata(130) assert "access_ids" in meta assert "dissemination" in meta["access_ids"] def test_first_write_wins_for_shortname(db): """_by_shortname always holds the entry with the lowest id for each shortname.""" for sn, entry in db._by_shortname.items(): all_entries = db._by_shortname_all[sn] min_id = min(e["id"] for e in all_entries) assert entry["id"] == min_id, f"_by_shortname[{sn!r}] has id={entry['id']} but min is {min_id}" # --------------------------------------------------------------------------- # Lazy loading # --------------------------------------------------------------------------- def test_lazy_indices_empty_before_first_lookup(): """Indices are empty immediately after construction — no I/O has happened.""" db = ParamDB() assert db._loaded is False assert db._by_id == {} assert db._by_shortname == {} assert db._by_shortname_all == {} assert db._by_longname == {} def test_lazy_loaded_after_first_lookup(): """First lookup populates the indices and sets _loaded=True.""" db = ParamDB() assert not db._loaded _ = db.param_id_to_shortname(130) assert db._loaded assert len(db._by_id) > 0 def test_lazy_loaded_only_once(): """Repeated lookups do not reload the data.""" db = ParamDB() _ = db.param_id_to_shortname(130) # Poison the index with a sentinel — a reload would wipe it. db._by_id[-1] = {"id": -1, "shortname": "_sentinel_", "longname": "Sentinel"} _ = db.param_id_to_shortname(130) assert -1 in db._by_id, "Sentinel was removed — data was reloaded unexpectedly" @pytest.mark.parametrize( "method, args", [ ("param_id_to_shortname", (130,)), ("param_id_to_longname", (130,)), ("shortname_to_param_id", ("msl",)), ("shortname_to_longname", ("strf",)), ("longname_to_param_id", ("Temperature",)), ("longname_to_shortname", ("Temperature",)), ("get_metadata", (130,)), ("get_units", (130,)), ("get_all_by_shortname", ("t",)), ("shortname_has_collisions", ("t",)), ], ) def test_each_public_method_triggers_load(method, args): """Every public lookup method triggers lazy loading on first call.""" db = ParamDB() assert not db._loaded getattr(db, method)(*args) assert db._loaded # --------------------------------------------------------------------------- # ParameterEntry model # --------------------------------------------------------------------------- class TestParameterEntryModel: """Unit tests for the Pydantic ParameterEntry schema.""" def test_canonical_fields(self): """Model accepts canonical field names and round-trips correctly.""" entry = ParameterEntry(id=130, shortname="t", longname="Temperature", units="K") assert entry.id == 130 assert entry.shortname == "t" assert entry.longname == "Temperature" assert entry.units == "K" assert entry.origin_ids == [] assert entry.access_ids == [] def test_shortname_alias_rejected(self): """Raw API alias 'shortName' is rejected — canonical keys only.""" with pytest.raises(pydantic.ValidationError) as excinfo: ParameterEntry.model_validate( {"id": 130, "shortName": "t", "longname": "Temperature"} ) assert excinfo.value.errors()[0]["loc"] == ("shortname",) def test_short_name_underscore_alias_rejected(self): """Snake-case alias 'short_name' is rejected — canonical keys only.""" with pytest.raises(pydantic.ValidationError) as excinfo: ParameterEntry.model_validate( {"id": 130, "short_name": "t", "longname": "Temperature"} ) assert excinfo.value.errors()[0]["loc"] == ("shortname",) def test_longname_aliases_rejected(self): """'longName', 'long_name', and 'name' are rejected — canonical keys only.""" for key in ("longName", "long_name", "name"): with pytest.raises(pydantic.ValidationError) as excinfo: ParameterEntry.model_validate( {"id": 130, "shortname": "t", key: "Temperature"} ) assert excinfo.value.errors()[0]["loc"] == ( "longname", ), f"alias {key!r} should be rejected" def test_id_coercion_from_string(self): """String id values are coerced to int.""" entry = ParameterEntry.model_validate({"id": "130", "shortname": "t", "longname": "Temperature"}) assert entry.id == 130 assert isinstance(entry.id, int) def test_units_defaults_to_unknown_when_absent(self): """Missing 'units' field defaults to 'unknown'.""" entry = ParameterEntry.model_validate({"id": 130, "shortname": "t", "longname": "Temperature"}) assert entry.units == "unknown" def test_units_defaults_to_unknown_when_empty(self): """Empty-string 'units' is normalised to 'unknown'.""" entry = ParameterEntry.model_validate({"id": 130, "shortname": "t", "longname": "Temperature", "units": ""}) assert entry.units == "unknown" def test_units_defaults_to_unknown_when_none(self): """None 'units' is normalised to 'unknown'.""" entry = ParameterEntry.model_validate({"id": 130, "shortname": "t", "longname": "Temperature", "units": None}) assert entry.units == "unknown" def test_origin_ids_default_empty_list(self): """Absent 'origin_ids' defaults to [].""" entry = ParameterEntry.model_validate({"id": 130, "shortname": "t", "longname": "Temperature"}) assert entry.origin_ids == [] def test_origin_ids_none_becomes_empty_list(self): """None 'origin_ids' is coerced to [].""" entry = ParameterEntry.model_validate( {"id": 130, "shortname": "t", "longname": "Temperature", "origin_ids": None} ) assert entry.origin_ids == [] def test_access_ids_default_empty_list(self): """Absent 'access_ids' defaults to [].""" entry = ParameterEntry.model_validate({"id": 130, "shortname": "t", "longname": "Temperature"}) assert entry.access_ids == [] def test_origin_ids_coercion(self): """String elements in origin_ids are coerced to int.""" entry = ParameterEntry.model_validate( {"id": 130, "shortname": "t", "longname": "Temperature", "origin_ids": ["98", "0"]} ) assert entry.origin_ids == [98, 0] def test_extra_fields_preserved(self): """Extra keys not in the schema are preserved in model_dump().""" entry = ParameterEntry.model_validate( {"id": 130, "shortname": "t", "longname": "Temperature", "url": "https://example.com/130"} ) dumped = entry.model_dump() assert dumped["url"] == "https://example.com/130" def test_missing_id_raises(self): """Missing required 'id' raises ValidationError.""" with pytest.raises(pydantic.ValidationError): ParameterEntry.model_validate({"shortname": "t", "longname": "Temperature"}) def test_missing_shortname_raises(self): """Missing required 'shortname' raises ValidationError.""" with pytest.raises(pydantic.ValidationError): ParameterEntry.model_validate({"id": 130, "longname": "Temperature"}) def test_missing_longname_raises(self): """Missing required 'longname' raises ValidationError.""" with pytest.raises(pydantic.ValidationError): ParameterEntry.model_validate({"id": 130, "shortname": "t"}) def test_empty_shortname_raises(self): """Empty shortname raises ValidationError.""" with pytest.raises(pydantic.ValidationError): ParameterEntry.model_validate({"id": 130, "shortname": "", "longname": "Temperature"}) def test_model_dump_round_trip(self): """model_dump() produces a dict that can be validated back into the model.""" original = ParameterEntry.model_validate( { "id": 130, "shortname": "t", "longname": "Temperature", "units": "K", "origin_ids": [98], "access_ids": ["dissemination"], } ) dumped = original.model_dump() restored = ParameterEntry.model_validate(dumped) assert restored == original def test_normalise_uses_model(self): """ParamDB._normalise round-trips through ParameterEntry and returns a dict.""" raw = {"id": "130", "shortname": "t", "longname": "Temperature", "units": "K"} result = ParamDB._normalise(raw) assert isinstance(result, dict) assert result["id"] == 130 assert result["shortname"] == "t" assert result["longname"] == "Temperature" assert result["units"] == "K" def test_normalise_rejects_aliases(self): """Only canonical keys are accepted; raw API aliases are rejected.""" raw = {"id": "130", "shortName": "t", "name": "Temperature", "units": "K"} with pytest.raises(pydantic.ValidationError): ParamDB._normalise(raw) # --------------------------------------------------------------------------- # param_id_to_context (bundled contexts + C++-source preference) # --------------------------------------------------------------------------- def test_param_id_to_context_returns_bundled_contexts(db): """An id referenced in params.yaml returns its baked MARS contexts.""" contexts = db.param_id_to_context(1) assert isinstance(contexts, list) assert len(contexts) > 0 # Every context is a dict of MARS keys. assert all(isinstance(c, dict) for c in contexts) assert all("class" in c for c in contexts) def test_param_id_to_context_empty_for_id_without_contexts(db): """An id with no recorded context returns an empty list (not an error).""" assert db.param_id_to_context(4) == [] def test_param_id_to_context_unknown_id_raises(db): """An unknown id raises KeyError.""" with pytest.raises(KeyError): db.param_id_to_context(999_999_999) def test_param_id_to_context_returns_copy(db): """The returned list is a copy — mutating it must not corrupt the index.""" first = db.param_id_to_context(1) n = len(first) first.append({"class": "bogus"}) assert len(db.param_id_to_context(1)) == n def test_param_id_to_context_prefers_cpp_source(db, monkeypatch): """When the C++ layer provides contexts, they take precedence over bundled.""" db._ensure_loaded() sentinel = [{"class": "od", "stream": "oper", "type": "fc", "levtype": "sfc"}] monkeypatch.setattr(_mod.ParamDB, "_param_context_from_cpp", staticmethod(lambda pid: sentinel)) # id 4 has no bundled context; the C++ source must still be returned. assert db.param_id_to_context(4) == sentinel # For an id that *does* have bundled context, C++ still wins. assert db.param_id_to_context(1) == sentinel def test_param_id_to_context_falls_back_when_cpp_absent(db, monkeypatch): """When the C++ layer returns None, the bundled contexts are used.""" db._ensure_loaded() monkeypatch.setattr(_mod.ParamDB, "_param_context_from_cpp", staticmethod(lambda pid: None)) bundled = list(db._by_id[1].get("mars_request_context", [])) assert db.param_id_to_context(1) == bundled metkit-1.22.0/tests/pymetkit/integration/mars_request/0000775000175000017500000000000015263642712023332 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/integration/mars_request/test_expand.py0000664000175000017500000000471315263642712026227 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 """Expansion and validation against the MARS language definition.""" from datetime import datetime, timedelta import pytest from pymetkit import MarsRequest, MetKitException yesterday = (datetime.today() - timedelta(days=1)).strftime("%Y%m%d") def valid_request(): return MarsRequest( "retrieve", { "class": "od", "domain": "g", "date": "-1", "expver": "0001", "step": range(0, 13, 6), }, ) # --------------------------------------------------------------------------- # Expansion # --------------------------------------------------------------------------- def test_expand_preserves_verb(): assert valid_request().expand().verb() == "retrieve" def test_expand_normalizes_relative_date(): assert valid_request().expand()["date"] == yesterday def test_expand_resolves_aliases(): # "od" and "operations" are aliases; they must compare equal after expansion. request = valid_request() aliased = valid_request() aliased["class"] = "operations" assert request == aliased def test_expand_inherits_default_values(): expanded = valid_request().expand() assert "param" in expanded def test_expand_without_inherit_adds_no_defaults(): request = valid_request() inherited = request.expand(inherit=True) minimal = request.expand(inherit=False) assert minimal.verb() == "retrieve" assert set(minimal.keys()) <= set(inherited.keys()) def test_expand_returns_a_new_object_and_leaves_original_untouched(): request = valid_request() keys_before = set(request.keys()) expanded = request.expand() assert expanded is not request assert set(request.keys()) == keys_before # --------------------------------------------------------------------------- # Validation # --------------------------------------------------------------------------- def test_validate_accepts_a_valid_request(): valid_request().validate() # must not raise def test_validate_rejects_an_invalid_value(): request = MarsRequest( "retrieve", { "class": "invalid", "domain": "g", "date": "-1", "expver": "0001", "levtype": "sfc", "step": range(0, 13, 6), }, ) with pytest.raises(MetKitException): request.validate() metkit-1.22.0/tests/pymetkit/integration/mars_request/test_parse.py0000664000175000017500000000521215263642712026055 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 """Parsing MARS requests from strings and files.""" from datetime import datetime, timedelta from pymetkit import MarsRequest, parse_mars_request yesterday = (datetime.today() - timedelta(days=1)).strftime("%Y%m%d") MULTIPLE_REQUESTS = """ retrieve, class=od, domain=g, expver=0001, levtype=sfc, stream=enfo, date=-1, time=12, param=151.128, grid=O640, step=0/to/24/by/6, target=test.grib, type=em retrieve, class=od, domain=g, expver=0001, levtype=pl, stream=enfo, date=-1, time=12, param=129, levelist=500, grid=O640, step=0/to/24/by/6, target=test.grib, type=em """ SINGLE_REQUEST = "retrieve,class=od,date=-1,time=12,param=129,step=12,target=test.grib" # --------------------------------------------------------------------------- # Parsing requests # --------------------------------------------------------------------------- def test_parse_single_request_from_string(): requests = parse_mars_request(SINGLE_REQUEST) assert len(requests) == 1 assert requests[0].verb() == "retrieve" assert requests[0].num_values("step") == 1 def test_parse_multiple_requests_from_string(): requests = parse_mars_request(MULTIPLE_REQUESTS) assert len(requests) == 2 for req in requests: assert req.verb() == "retrieve" assert req.num_values("step") == 5 def test_parse_from_file_object(tmpdir): request_file = f"{tmpdir}/requests" with open(request_file, "w") as handle: handle.write(MULTIPLE_REQUESTS) with open(request_file, "r") as handle: requests = parse_mars_request(handle) assert len(requests) == 2 assert "class" in requests[0] assert requests[1]["levelist"] == "500" def test_parse_returns_marsrequest_objects(): requests = parse_mars_request(MULTIPLE_REQUESTS) assert all(isinstance(req, MarsRequest) for req in requests) def test_parse_expands_relative_date(): requests = parse_mars_request(MULTIPLE_REQUESTS) for req in requests: assert req["date"] == yesterday # --------------------------------------------------------------------------- # Empty input # --------------------------------------------------------------------------- def test_parse_empty_string_returns_no_requests(): assert parse_mars_request("") == [] def test_parse_empty_file_returns_no_requests(tmpdir): request_file = f"{tmpdir}/requests" with open(request_file, "w") as handle: handle.write("") assert parse_mars_request(open(request_file, "r")) == [] metkit-1.22.0/tests/pymetkit/integration/mars_request/test_merge.py0000664000175000017500000000537215263642712026051 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 """Merging two MarsRequest objects. metkit's merge takes the union of the values of matching parameters, keeping the values of ``self`` first and appending only those values of ``other`` that are not already present (order-preserving, deduplicated). The two requests must carry the same parameters and the merged result must validate against the MARS language definition. """ import pytest from pymetkit import MarsRequest, MetKitException # Shared parameter set so both operands carry identical keys unless a test # deliberately diverges. BASE = {"class": "od", "domain": "g", "expver": "0001", "step": range(0, 13, 6)} def _left(): return MarsRequest("retrieve", {**BASE, "date": "-1", "levtype": "sfc"}) def _right(): return MarsRequest("retrieve", {**BASE, "date": "20230101", "levtype": "sfc"}) # --------------------------------------------------------------------------- # Successful merge # --------------------------------------------------------------------------- def test_merge_unions_values_keeping_self_first(): merged = _left().merge(_right()) # date differs between the two -> union, self's value first assert merged["date"] == ["-1", "20230101"] def test_merge_deduplicates_identical_values(): # levtype is "sfc" on both sides -> a single value, not duplicated assert _left().merge(_right())["levtype"] == "sfc" def test_merge_leaves_self_only_values_unchanged(): merged = _left().merge(_right()) assert merged["class"] == "od" assert merged["step"] == ["0", "6", "12"] def test_merge_returns_a_distinct_new_request(): left, right = _left(), _right() merged = left.merge(right) assert isinstance(merged, MarsRequest) assert merged is not left assert merged is not right def test_merge_does_not_mutate_the_operands(): left, right = _left(), _right() left.merge(right) # values are untouched on both inputs assert left["date"] == "-1" assert right["date"] == "20230101" assert set(left.keys()) == set(right.keys()) # --------------------------------------------------------------------------- # Rejected merges # --------------------------------------------------------------------------- def test_merge_with_different_parameters_raises_value_error(): left = _left() right = MarsRequest("retrieve", {**BASE, "date": "-1", "levtype": "sfc", "type": "em"}) with pytest.raises(ValueError): left.merge(right) def test_merge_producing_invalid_request_raises_metkit_exception(): left = _left() right = MarsRequest("retrieve", {**BASE, "date": "-1", "levtype": "pl"}) with pytest.raises(MetKitException): left.merge(right) metkit-1.22.0/tests/pymetkit/integration/mars_request/test_equality.py0000664000175000017500000000401115263642712026574 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 """Equality and string representation of MarsRequest. Equality is expansion-backed: both sides are expanded against the MARS language definition before comparing. These tests therefore require MARS language definitions to be present in the environment. """ from pymetkit import MarsRequest def base_request(**overrides): selection = { "class": "od", "domain": "g", "date": "20230101", "param": "130", "expver": "0001", "step": range(0, 13, 6), } selection.update(overrides) return MarsRequest("retrieve", selection) # --------------------------------------------------------------------------- # Equal requests # --------------------------------------------------------------------------- def test_identical_requests_are_equal(): assert base_request() == base_request() def test_equality_ignores_value_representation(): # int vs string date and param expand to the same request assert base_request() == base_request(date=20230101, param=130) def test_step_range_equals_explicit_list(): # range(0, 13, 6) and [0, 6, 12] normalise to the same values before expansion assert base_request(step=range(0, 13, 6)) == base_request(step=[0, 6, 12]) # --------------------------------------------------------------------------- # Unequal requests # --------------------------------------------------------------------------- def test_different_values_are_not_equal(): assert base_request(param="130") != base_request(param="131") def test_comparison_with_non_request_is_not_equal(): assert (base_request() == "retrieve") is False assert base_request() != "retrieve" # --------------------------------------------------------------------------- # Representation # --------------------------------------------------------------------------- def test_repr_contains_the_verb(): assert "retrieve" in repr(base_request()) metkit-1.22.0/tests/pymetkit/integration/mars_request/test_construction.py0000664000175000017500000000413615263642712027501 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 """Construction of MarsRequest objects: verbs and selections.""" import pytest from pymetkit import MarsRequest # --------------------------------------------------------------------------- # Verb and selection sources # --------------------------------------------------------------------------- def test_verb_only(): req = MarsRequest("retrieve") assert req.verb() == "retrieve" assert list(req.keys()) == [] def test_selection_mapping_argument(): req = MarsRequest("retrieve", {"class": "od", "param": [151, 129]}) assert req["class"] == "od" assert req["param"] == ["151", "129"] # --------------------------------------------------------------------------- # Value normalization # --------------------------------------------------------------------------- def test_numeric_values_are_stringified(): req = MarsRequest("retrieve", {"step": [0, 6, 12], "number": 1, "threshold": 1.5}) assert req["step"] == ["0", "6", "12"] assert req["number"] == "1" assert req["threshold"] == "1.5" def test_range_value_is_expanded_to_strings(): req = MarsRequest("retrieve", {"step": range(0, 13, 6)}) assert req["step"] == ["0", "6", "12"] def test_slash_separated_string_is_split(): req = MarsRequest("retrieve", {"date": "20200101/20200102", "step": "0/to/24/by/6"}) assert req["date"] == ["20200101", "20200102"] assert req["step"] == ["0", "to", "24", "by", "6"] # --------------------------------------------------------------------------- # Rejected input # --------------------------------------------------------------------------- def test_mapping_value_is_rejected(): with pytest.raises(ValueError): MarsRequest("retrieve", {"bad": {"nested": 1}}) def test_unsupported_value_object_is_rejected(): with pytest.raises(ValueError): MarsRequest("retrieve", {"bad": object()}) def test_non_mapping_selection_is_rejected(): with pytest.raises(ValueError): MarsRequest("retrieve", [("class", "od")]) metkit-1.22.0/tests/pymetkit/integration/mars_request/test_selection.py0000664000175000017500000001333615263642712026736 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 """Tests for internal value normalisation (pymetkit.pymetkit_type.UserInputMapper).""" import pytest from pymetkit.pymetkit_type import UserInputMapper # --------------------------------------------------------------------------- # map_selection_to_internal: scalar values # --------------------------------------------------------------------------- def test_single_value_internal(): result = UserInputMapper.map_selection_to_internal({"key-1": "value-1"}) assert len(result) == 1 assert "key-1" in result assert result["key-1"] == ["value-1"] def test_int_and_float_become_string_lists(): result = UserInputMapper.map_selection_to_internal({"number": 1, "threshold": 1.5}) assert result["number"] == ["1"] assert result["threshold"] == ["1.5"] def test_slash_separated_string_is_split(): result = UserInputMapper.map_selection_to_internal({"date": "20200101/20200102"}) assert result["date"] == ["20200101", "20200102"] def test_string_without_slash_is_kept_whole(): result = UserInputMapper.map_selection_to_internal({"grid": "O640"}) assert result["grid"] == ["O640"] # --------------------------------------------------------------------------- # map_selection_to_internal: collection values # --------------------------------------------------------------------------- def test_collection_values_are_stringified(): result = UserInputMapper.map_selection_to_internal( { "key-1": ["value-1", "value-2", "value-3"], "key-2": ["value-2"], "key-3": ["value-3", 214, 213.54], "key-4": [120, 123, 124, 125], } ) assert result["key-1"] == ["value-1", "value-2", "value-3"] assert result["key-2"] == ["value-2"] assert result["key-3"] == ["value-3", "214", "213.54"] assert result["key-4"] == ["120", "123", "124", "125"] def test_range_is_expanded(): result = UserInputMapper.map_selection_to_internal({"step": range(0, 13, 6)}) assert result["step"] == ["0", "6", "12"] # --------------------------------------------------------------------------- # map_selection_to_internal: mixed numeric types # --------------------------------------------------------------------------- def test_to_internal_mixed_numeric_types(): result = UserInputMapper.map_selection_to_internal( { "key-1": ["value-2", "value-4"], "key-2": ["0.1", 0.2], "key-3": [0.1, 0.2], "key-4": [1, 2], } ) assert result["key-1"] == ["value-2", "value-4"] assert result["key-2"] == ["0.1", "0.2"] assert result["key-3"] == ["0.1", "0.2"] assert result["key-4"] == ["1", "2"] # --------------------------------------------------------------------------- # map_selection_to_external # --------------------------------------------------------------------------- def test_single_value_external(): result = UserInputMapper.map_selection_to_external({"key-1": ["value-1"]}) assert result["key-1"] == "value-1" def test_multi_value_external(): result = UserInputMapper.map_selection_to_external( { "key-1": ["value-1", "value-2", "value-3"], "key-2": ["value-2"], } ) assert result["key-1"] == ["value-1", "value-2", "value-3"] assert result["key-2"] == "value-2" # --------------------------------------------------------------------------- # map_values_to_external # --------------------------------------------------------------------------- def test_map_values_to_external_collapses_single_value(): assert UserInputMapper.map_values_to_external(["od"]) == "od" assert UserInputMapper.map_values_to_external(["151", "129"]) == ["151", "129"] # --------------------------------------------------------------------------- # Key overwrite behavior # --------------------------------------------------------------------------- def test_overwrite_key_internal(): result = UserInputMapper.map_selection_to_internal( { "key-1": "value-1", "key-1": ["value-3", "214", "213.54"], } ) assert len(result) == 1 assert result["key-1"] == ["value-3", "214", "213.54"] def test_overwrite_key_external(): result = UserInputMapper.map_selection_to_external( { "key-1": ["value-1"], "key-1": ["value-3", "214", "213.54"], } ) assert len(result) == 1 assert result["key-1"] == ["value-3", "214", "213.54"] # --------------------------------------------------------------------------- # Rejected values # --------------------------------------------------------------------------- def test_mapping_value_is_rejected(): with pytest.raises(ValueError): UserInputMapper.map_selection_to_internal({"bad": {"nested": 1}}) def test_unsupported_value_object_is_rejected(): with pytest.raises(ValueError): UserInputMapper.map_selection_to_internal({"bad": object()}) # --------------------------------------------------------------------------- # Pythonic interface # --------------------------------------------------------------------------- def test_pythonic_interface(): result = UserInputMapper.map_selection_to_internal( { "key-1": ["value-1", "value-2", "value-3"], "key-2": 0.1, "key-3": list(range(1, 5)), "key-4": [0.1, "0.2"], "key-5": [1 + 0.5 * x for x in range(2)], } ) assert result["key-1"] == ["value-1", "value-2", "value-3"] assert result["key-2"] == ["0.1"] assert result["key-3"] == ["1", "2", "3", "4"] assert result["key-4"] == ["0.1", "0.2"] assert result["key-5"] == ["1.0", "1.5"] metkit-1.22.0/tests/pymetkit/integration/mars_request/test_accessors.py0000664000175000017500000000554715263642712026743 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 """The Mapping-like interface of MarsRequest: reading, mutating and iterating.""" import pytest from pymetkit import MarsRequest def make_request(): return MarsRequest("retrieve", {"class": "od", "param": [151, 129], "step": [0]}) # --------------------------------------------------------------------------- # Reading values # --------------------------------------------------------------------------- def test_single_value_returns_scalar(): req = make_request() assert req["class"] == "od" assert req["step"] == "0" def test_multiple_values_return_list(): assert make_request()["param"] == ["151", "129"] def test_num_values(): req = make_request() assert req.num_values("param") == 2 assert req.num_values("class") == 1 def test_dict_view(): assert dict(make_request()) == { "class": "od", "param": ["151", "129"], "step": "0", } # --------------------------------------------------------------------------- # Membership and iteration # --------------------------------------------------------------------------- def test_contains(): req = make_request() assert "class" in req assert "missing" not in req def test_keys_yields_parameter_names(): req = make_request() assert set(req.keys()) == {"class", "param", "step"} def test_iter_yields_key_value_pairs(): req = make_request() pairs = list(req) assert {k for k, _ in pairs} == {"class", "param", "step"} assert dict(pairs) == {"class": "od", "param": ["151", "129"], "step": "0"} # --------------------------------------------------------------------------- # Mutating values # --------------------------------------------------------------------------- def test_set_scalar_value(): req = make_request() req["expver"] = "0001" assert req["expver"] == "0001" assert "expver" in req def test_set_overwrites_existing_value(): req = make_request() req["class"] = "ea" assert req["class"] == "ea" def test_set_list_and_range_values(): req = make_request() req["date"] = ["20200101", "20200102"] req["step"] = range(0, 13, 6) assert req["date"] == ["20200101", "20200102"] assert req["step"] == ["0", "6", "12"] # --------------------------------------------------------------------------- # Missing keys # --------------------------------------------------------------------------- def test_getitem_missing_key_raises_keyerror(): with pytest.raises(KeyError): make_request()["missing"] def test_num_values_missing_key_raises_keyerror(): with pytest.raises(KeyError): make_request().num_values("missing") def test_set_invalid_value_is_rejected(): with pytest.raises(ValueError): make_request()["bad"] = {"nested": 1} metkit-1.22.0/tests/pymetkit/CMakeLists.txt0000664000175000017500000000561615263642712021045 0ustar alastairalastair# (C) Copyright 2025- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. # Create the pytest-tmp folder for encompassing the different scenarios file(MAKE_DIRECTORY "${CMAKE_CURRENT_BINARY_DIR}/pytest-tmp") function(add_pymetkit_test scenario test) get_filename_component(stem ${test} NAME_WLE) add_test( NAME ${scenario}_${stem} COMMAND ${Python_EXECUTABLE} -m pytest --basetemp ${CMAKE_CURRENT_BINARY_DIR}/pytest-tmp/${scenario}/ -vv -s ${CMAKE_CURRENT_SOURCE_DIR}/${test} ) set(_env "PYTHONPATH=${CMAKE_BINARY_DIR}/pymetkit-python-package-staging:$ENV{PYTHONPATH}" # prevent findlibs in pymetkit from picking up any globally installed metkit "METKIT_DIR=${CMAKE_BINARY_DIR}" "FINDLIBS_DISABLE_PACKAGE=yes" # metkit_env provides METKIT_HOME and ECCODES_DEFINITION_PATH for expansion ${metkit_env} ) set_tests_properties(${scenario}_${stem} PROPERTIES RESOURCE_LOCK ${scenario} ENVIRONMENT "${_env}" LABELS ${scenario} ) endfunction() set(test_files integration/mars_request/test_construction.py integration/mars_request/test_accessors.py integration/mars_request/test_selection.py integration/mars_request/test_expand.py integration/mars_request/test_merge.py integration/mars_request/test_equality.py integration/mars_request/test_parse.py integration/test_paramdb.py cli/test_cli.py ) foreach(test_file ${test_files}) add_pymetkit_test("pymetkit" ${test_file}) endforeach() set(doc_test_files ../../docs/pymetkit/examples.rst ) foreach(test_file ${doc_test_files}) add_pymetkit_test("pymetkit_doc" ${test_file}) endforeach() if( HAVE_MARS2MARS AND HAVE_PYTHON_METKIT_INTERFACE ) set(test_files_mars2mars experimental/mars2mars/test_mars2mars_api.py ) foreach(test_file ${test_files_mars2mars}) add_pymetkit_test("pymetkit_experimental_mars2mars" ${test_file}) endforeach() endif() if( HAVE_MARS2GRIB AND HAVE_PYTHON_METKIT_INTERFACE ) set(test_files_mars2grib experimental/mars2grib/test_mars2grib_api.py ) foreach(test_file ${test_files_mars2grib}) add_pymetkit_test("pymetkit_experimental_mars2grib" ${test_file}) endforeach() endif() if( HAVE_MARS2MARS AND HAVE_MARS2GRIB AND HAVE_PYTHON_METKIT_INTERFACE ) set(test_files_mars2mars2grib experimental/integration/test_mars2mars2grib.py ) foreach(test_file ${test_files_mars2mars2grib}) add_pymetkit_test("pymetkit_experimental_mars2mars2grib" ${test_file}) endforeach() endif() metkit-1.22.0/tests/pymetkit/experimental/0000775000175000017500000000000015263642712020772 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/experimental/data/0000775000175000017500000000000015263642712021703 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/experimental/data/mars2mars-test-requests.mars0000664000175000017500000000421215263642712027323 0ustar alastairalastairretrieve, class=od, date=2026-02-09, expver=1, levtype=sfc, 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step=0/1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/82/83/84/85/86/87/88/89/90/93/96/99/102/105/108/111/114/117/120/123/126/129/132/135/138/141/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/240/246/252/258/264/270/276/282/288/294/300/306/312/318/324/330/336/342/348/354/360, stream=oper, time=00:00:00/12:00:00, type=fc metkit-1.22.0/tests/pymetkit/experimental/integration/0000775000175000017500000000000015263642712023315 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/experimental/integration/test_mars2mars2grib.py0000664000175000017500000000327215263642712027567 0ustar alastairalastairimport pytest import logging from pymetkit.experimental.mars2mars import Mars2Mars from pymetkit.experimental.mars2grib import Mars2Grib from pymetkit.pymetkit_type import MarsRequest logger = logging.getLogger(__name__) def test_typed_dict_mars2mars_then_mars2grib(): request = { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": 130, "levtype": "hl", "levelist": 2, "date": 20260205, "time": 000000, "step": 0, } converter = Mars2Mars() [request, misc] = converter.convert(mars_request=request) import json logger.debug(f"Request: {json.dumps(request)}") logger.debug(f"Misc: {json.dumps(misc)}") encoder = Mars2Grib() vals = [237.15] * 200 return_bytes = encoder.encode(vals, request, misc) assert return_bytes logger.debug(return_bytes) def test_mars_request_mars2mars_then_mars2grib(): request = { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": 130, "levtype": "hl", "levelist": 2, "date": 20260205, "time": 000000, "step": 0, } converter = Mars2Mars() [request, misc] = converter.convert(mars_request=MarsRequest("retrieve", request)) import json logger.debug(json.dumps(request)) logger.debug(json.dumps(misc)) encoder = Mars2Grib() vals = [237.15] * 200 with pytest.raises(RuntimeError, match="type"): encoder.encode(vals, request) metkit-1.22.0/tests/pymetkit/experimental/conftest.py0000664000175000017500000000074515263642712023177 0ustar alastairalastairimport pathlib import pytest import git def get_git_root(path) -> pathlib.Path: git_repo = git.Repo(path, search_parent_directories=True) git_root = git_repo.git.rev_parse("--show-toplevel") return pathlib.Path(git_root) @pytest.fixture(scope="function") def data_path() -> pathlib.Path: """ Provides path to test data """ path = get_git_root(__file__).resolve() / "tests" / "pymetkit" / "experimental" / "data" assert path.exists() return path metkit-1.22.0/tests/pymetkit/experimental/mars2mars/0000775000175000017500000000000015263642712022701 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/experimental/mars2mars/test_mars2mars_api.py0000664000175000017500000001073715263642712027062 0ustar alastairalastairimport logging import pytest logger = logging.getLogger(__name__) from pymetkit import MarsRequest, MarsSelection from pymetkit.experimental.mars2mars import Mars2Mars def test_convert_mars_request_multi_value(): mars_selection: MarsSelection = { "class": "od", "stream": "oper", "type": "fc", "expver": "1", "date": "2026-02-09", "time": "00:00:00", "levtype": "sfc", "param": "261018/261019", "step": "0", } request = MarsRequest("retrieve", mars_selection).expand() with pytest.raises(RuntimeError, match="expects a single MARS point"): Mars2Mars().convert(mars_request=request) def test_convert_mars_request_multi_value_dict(): mars_selection: MarsSelection = { "class": "od", "stream": "oper", "type": "fc", "expver": "1", "date": "2026-02-09", "time": "00:00:00", "levtype": "sfc", "param": ["261018", "261019"], "step": "0", } request = MarsRequest("retrieve", mars_selection).expand() with pytest.raises(RuntimeError, match="expects a single MARS point"): Mars2Mars().convert(mars_request=request) def test_convert_mars_request_to_json(): mars_selection: MarsSelection = { "class": "od", "stream": "oper", "type": "fc", "expver": "1", "date": "2026-02-09", "time": "00:00:00", "levtype": "sfc", "param": "261018", "step": "0", } request = MarsRequest("retrieve", mars_selection).expand() [mars, misc] = Mars2Mars().convert(mars_request=request) import json logger.debug(json.dumps(mars)) logger.debug(json.dumps(misc)) def test_convert_typed_dict_to_json(): request = { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": 130, "levtype": "hl", "levelist": 2, "date": 20260205, "time": 000000, "step": 0, } [request, misc] = Mars2Mars().convert(mars_request=request) import json logger.debug(json.dumps(request)) logger.debug(json.dumps(misc)) def test_convert_typed_dict_multiple_values_to_json(): request = { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": [130, 131], "levtype": "hl", "levelist": 2, "date": 20260205, "time": 000000, "step": 0, } with pytest.raises(RuntimeError, match="is not of expected type"): Mars2Mars().convert(mars_request=request) def test_convert_string_dict_to_json(): request = { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": "130", "levtype": "hl", "levelist": "2", "date": "20260205", "time": "000000", "step": "0", } with pytest.raises(RuntimeError, match="Key `param` is not of expected type `long` for dictionary"): [request, misc] = Mars2Mars().convert(mars_request=request) import json logger.debug(json.dumps(request)) logger.debug(json.dumps(misc)) def test_flatten_convert_append_to_json(data_path): from pymetkit import parse_mars_request with (data_path / "mars2mars-test-requests.mars").open() as file: requests = parse_mars_request(file) assert len(requests) != 0, "Expected requests from request file" splitting_keys = [ "class", "stream", "type", "expver", "levtype", "param", "levelist", "step", "date", "time", "number", "chem", "wavelength", "timespan", "hdate", ] mars2mars = Mars2Mars() convertedPoints = [] for req in requests: expanded = req.expand() identifiers = expanded.split(splitting_keys) assert len(identifiers) != 0, "Expecting points not to be empty" logger.debug(f"Points: {identifiers[0:2]} ... {identifiers[-1]}") convertedPoints.extend( [mars for [mars, _] in [mars2mars.convert(mars_request=identifier) for identifier in identifiers]] ) import json logger.debug(json.dumps(convertedPoints)) metkit-1.22.0/tests/pymetkit/experimental/mars2grib/0000775000175000017500000000000015263642712022662 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/experimental/mars2grib/test_mars2grib_api.py0000664000175000017500000000677415263642712027032 0ustar alastairalastairimport pytest from pymetkit.experimental.mars2grib import Mars2Grib from pymetkit.pymetkit_type import MarsRequest def test_encode_dict(): encoder = Mars2Grib() mars = { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": 130, "levtype": "hl", "levelist": 2, "date": 20260205, "time": 000000, "step": 0, } vals = [237.15] * 200 encoder.encode(vals, mars) def test_encode_dict_multi_values(): encoder = Mars2Grib() mars = { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": [130, 131], "levtype": "hl", "levelist": 2, "date": 20260205, "time": 000000, "step": 0, } vals = [237.15] * 200 with pytest.raises(RuntimeError, match="not of expected type"): encoder.encode(vals, mars) def test_encode_dict_string(): encoder = Mars2Grib() mars = { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": "130", "levtype": "hl", "levelist": "2", "date": "20260205", "time": "000000", "step": "0", } vals = [237.15] * 200 # We don't support dict[str, str] yet with pytest.raises(RuntimeError): encoder.encode(vals, mars) def test_encode_dict_string_multiple_values(): encoder = Mars2Grib() mars = { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": ["129", "130"], "levtype": "hl", "levelist": "2", "date": "20260205", "time": "000000", "step": "0", } vals = [237.15] * 200 # We don't support dict[str, str] yet with pytest.raises(RuntimeError): encoder.encode(vals, mars) def test_encode_mars_request(): encoder = Mars2Grib() mars_request = MarsRequest( "retrieve", { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": "130", "levtype": "hl", "levelist": "2", "date": "20260205", "time": "000000", "step": "0", }, ) vals = [237.15] * 200 with pytest.raises(ValueError, match="Mars2Grib::encode: Currently metkit::mars::MarsRequest is not supported."): encoder.encode(vals, mars_request) def test_encode_mixed_types(): encoder = Mars2Grib() mars = MarsRequest( "retrieve", { "origin": "ecmf", "class": "od", "stream": "oper", "type": "fc", "expver": "0001", "grid": "N200", "packing": "ccsds", "param": 130, "levtype": "hl", "levelist": 2, "date": 20260205, "time": 000000, "step": 0, }, ) vals = [237.15] * 200 with pytest.raises(ValueError, match="mars and misc have to be the same object type"): encoder.encode(vals, mars, misc={}) metkit-1.22.0/tests/pymetkit/performance/0000775000175000017500000000000015263642712020576 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/performance/test_marsrequest_perf.py0000664000175000017500000002346015263642712025603 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 """Performance stress test for the MarsRequest Python layer. Not registered with ctest. Run it deliberately, with ``-s`` to see the report: export PYTHONPATH=/pymetkit-python-package-staging pytest tests/pymetkit/performance/ -s The expansion-backed cases additionally need the MARS language definitions that ctest normally injects; without them those cases skip: export METKIT_HOME= export ECCODES_DEFINITION_PATH=/share/eccodes/definitions Two costs are easy to incur without noticing, and this test makes both visible: - ``__getitem__`` and ``__iter__`` copy the value list on *every* read. - ``__eq__`` expands both sides, so comparing requests drives two C++ expansions. """ from concurrent.futures import ThreadPoolExecutor from contextlib import contextmanager from time import perf_counter import pytest from pymetkit import MarsRequest, expand # -- Workload scale --------------------------------------------------------- REQUEST_COUNT = 1000 WIDE_PARAM_COUNT = 50 LARGE_VALUE_COUNT = 500 ACCESS_REPEATS = 5 COMPARE_COUNT = 100 MERGE_COUNT = 100 # -- Time budgets, in seconds ---------------------------------------------- # Deliberately ~50x above expected runtime: these catch order-of-magnitude # regressions, not small drifts. Retune here. BUDGET_CONSTRUCT = 3.0 BUDGET_CONSTRUCT_WIDE = 5.0 BUDGET_CONSTRUCT_LARGE_VALUES = 5.0 BUDGET_READ = 5.0 BUDGET_WRITE = 5.0 BUDGET_CHEAP_QUERY = 3.0 BUDGET_ITERATE = 3.0 BUDGET_DICT = 3.0 BUDGET_REPR = 10.0 BUDGET_EXPAND_SINGLE = 60.0 BUDGET_EXPAND_BATCH = 5.0 BUDGET_EXPAND_PARALLEL = 3.0 PARALLEL_WORKER_COUNT = 20 BUDGET_COMPARE = 15.0 BUDGET_MERGE = 30.0 BUDGET_SPLIT = 5.0 BUDGET_SPLIT_WIDE = 30.0 SPLIT_WIDE_COUNT = 100 # fewer requests: each yields 3×4×3×5 = 180 parts @contextmanager def timed(label, budget_seconds, operations): """Print the measurement, then fail if it exceeded its budget.""" start = perf_counter() yield elapsed = perf_counter() - start rate = operations / elapsed if elapsed > 0 else float("inf") print(f"{label:<38} {elapsed:8.3f}s {rate:12,.0f} ops/s") assert elapsed < budget_seconds, f"{label} took {elapsed:.3f}s, budget {budget_seconds:.1f}s" def _selection(index): """A realistic selection. `param` varies so requests stay distinct.""" return { "class": "od", "domain": "g", "date": "-1", "expver": "0001", "param": str(130 + index % 20), "step": range(0, 13, 6), } def _requests(count=REQUEST_COUNT): return [MarsRequest("retrieve", _selection(index)) for index in range(count)] @pytest.fixture(scope="module") def expandable_requests(): """Requests for the expansion tier; skips when the language defs are absent.""" try: expand(MarsRequest("retrieve", _selection(0))) except Exception as error: pytest.skip(f"MARS language definitions unavailable: {error}") return _requests() @pytest.fixture(scope="module") def expandable_requests_small(): """Requests for the expansion tier; skips when the language defs are absent.""" try: expand(MarsRequest("retrieve", _selection(0))) except Exception as error: pytest.skip(f"MARS language definitions unavailable: {error}") return _requests(100) # Pure Python layer: construction def test_construct_requests(): with timed("construct", BUDGET_CONSTRUCT, REQUEST_COUNT): _requests() def test_construct_wide_selections(): # Normalization runs per key, so widen the selection to scale that cost. wide = {f"key_{index:03d}": str(index) for index in range(WIDE_PARAM_COUNT)} with timed("construct wide", BUDGET_CONSTRUCT_WIDE, REQUEST_COUNT * WIDE_PARAM_COUNT): for _ in range(REQUEST_COUNT): MarsRequest("retrieve", wide) def test_construct_large_value_lists(): # Two shapes that both fan out to LARGE_VALUE_COUNT strings: a list of ints # (stringified element-wise) and a '/'-separated string (split). as_list = list(range(LARGE_VALUE_COUNT)) as_range_expression = "/".join(str(value) for value in range(LARGE_VALUE_COUNT)) with timed("construct large values", BUDGET_CONSTRUCT_LARGE_VALUES, REQUEST_COUNT * 2): for _ in range(REQUEST_COUNT): MarsRequest("retrieve", {"step": as_list}) MarsRequest("retrieve", {"step": as_range_expression}) # Pure Python layer: accessors def test_getitem_churn(): requests = _requests() keys = list(requests[0].keys()) reads = REQUEST_COUNT * len(keys) * ACCESS_REPEATS # Every read rebuilds the value list, so this is the copy cost, not a lookup. with timed("__getitem__", BUDGET_READ, reads): for _ in range(ACCESS_REPEATS): for request in requests: for key in keys: request[key] def test_setitem_churn(): requests = _requests() writes = REQUEST_COUNT * ACCESS_REPEATS with timed("__setitem__", BUDGET_WRITE, writes): for repeat in range(ACCESS_REPEATS): for request in requests: request["step"] = range(0, 13, 6) request["param"] = 130 + repeat def test_cheap_queries_stay_cheap(): # Baseline: these touch the internal dict directly. Compare against # __getitem__ above to see what the value-copy actually costs. requests = _requests() keys = list(requests[0].keys()) operations = REQUEST_COUNT * len(keys) * 3 with timed("keys/contains/num_values", BUDGET_CHEAP_QUERY, operations): for request in requests: list(request.keys()) for key in keys: key in request request.num_values(key) def test_iteration(): requests = _requests() keys = len(list(requests[0].keys())) with timed("iterate pairs", BUDGET_ITERATE, REQUEST_COUNT * keys): for request in requests: for _key, _value in request: pass def test_dict_conversion(): requests = _requests() with timed("dict()", BUDGET_DICT, REQUEST_COUNT): for request in requests: dict(request) def test_repr_marshalling(): # repr goes through _to_internal(), so this is the Python -> C++ boundary # cost without the language engine on top. requests = _requests() with timed("repr()", BUDGET_REPR, REQUEST_COUNT): for request in requests: repr(request) # Expansion-backed: needs the MARS language definitions def test_expand_single(expandable_requests_small): # Baseline: one MarsExpansion instance per request. with timed( f"expand() {len(expandable_requests_small)} single", BUDGET_EXPAND_SINGLE, len(expandable_requests_small) ): for request in expandable_requests_small: request.expand() def test_expand_batch(expandable_requests): # Batch: one MarsExpansion instance shared across all requests. with timed(f"expand() {len(expandable_requests)} batch", BUDGET_EXPAND_BATCH, REQUEST_COUNT): expand(expandable_requests) def test_expand_parallel_batches(expandable_requests): # Parallel: GIL released during C++ expansion, so threads run concurrently. # Each worker gets an equal sub-batch; MarsExpansion instances are independent. batch_size = len(expandable_requests) // PARALLEL_WORKER_COUNT batches = [expandable_requests[i * batch_size : (i + 1) * batch_size] for i in range(PARALLEL_WORKER_COUNT)] with timed(f"expand() {PARALLEL_WORKER_COUNT}x parallel batch", BUDGET_EXPAND_PARALLEL, REQUEST_COUNT): with ThreadPoolExecutor(max_workers=PARALLEL_WORKER_COUNT) as pool: futures = [pool.submit(expand, batch) for batch in batches] results = [future.result() for future in futures] assert sum(len(batch) for batch in results) == REQUEST_COUNT def test_equality(expandable_requests): # Two expansions per comparison (one per side). left = expandable_requests[:COMPARE_COUNT] right = _requests(COMPARE_COUNT) with timed("__eq__", BUDGET_COMPARE, COMPARE_COUNT): for request_a, request_b in zip(left, right): request_a == request_b def test_merge(expandable_requests): # merge() validates the result, which is a further expansion. left = expandable_requests[:MERGE_COUNT] right = _requests(MERGE_COUNT) with timed("merge()", BUDGET_MERGE, MERGE_COUNT): for request_a, request_b in zip(left, right): request_a.merge(request_b) def test_split(): # split() does not require the language engine: pure structural operation. # _selection() carries 3 step values, so each split yields 3 requests. requests = _requests() expected_output = REQUEST_COUNT * 3 with timed("split()", BUDGET_SPLIT, expected_output): for request in requests: request.split(["step"]) def test_split_wide(): # 4-key Cartesian product: step(3) × param(4) × levtype(3) × type(5) = 180 parts/request. _STEPS = list(range(0, 13, 6)) # 3 values _PARAMS = [129, 130, 131, 132] # 4 values _LEVTYPES = ["sfc", "pl", "ml"] # 3 values _TYPES = ["an", "fc", "cf", "pf", "em"] # 5 values _SPLIT_KEYS = ["step", "param", "levtype", "type"] _PARTS_PER_REQUEST = len(_STEPS) * len(_PARAMS) * len(_LEVTYPES) * len(_TYPES) selection = { "class": "od", "domain": "g", "date": "-1", "step": _STEPS, "param": _PARAMS, "levtype": _LEVTYPES, "type": _TYPES, } requests = [MarsRequest("retrieve", selection) for _ in range(SPLIT_WIDE_COUNT)] expected_output = SPLIT_WIDE_COUNT * _PARTS_PER_REQUEST with timed("split() 4-key wide", BUDGET_SPLIT_WIDE, expected_output): for request in requests: parts = request.split(_SPLIT_KEYS) assert len(parts) == _PARTS_PER_REQUEST metkit-1.22.0/tests/pymetkit/cli/0000775000175000017500000000000015263642712017044 5ustar alastairalastairmetkit-1.22.0/tests/pymetkit/cli/test_cli.py0000664000175000017500000002236215263642712021231 0ustar alastairalastair# SPDX-FileCopyrightText: 2026 European Centre for Medium-Range Weather Forecasts (ECMWF) # SPDX-License-Identifier: Apache-2.0 import logging import sys import warnings from pathlib import Path from unittest.mock import MagicMock import findlibs import pytest from pymetkit import _internal from pymetkit.__main__ import DEPENDENCY_ORDER, OPTIONAL_DEPENDENCIES, main from pymetkit._internal import _check_metkit_version_compatibility ALL_LIBS = { "eckit": "/fake/eckit/lib/libeckit.so", "eccodes": "/fake/eccodes/lib/libeccodes.so", "metkit": "/fake/metkit/lib/libmetkit.so", } FAKE_VERSION_INFO = [ ("eckit", "1.32.5", "def5678", "/fake/eckit/lib/libeckit.so"), ("eccodes", "2.46.0", "jkl3456", "/fake/eccodes/lib/libeccodes.so"), ("metkit", "1.19.0", "ghi9012", "/fake/metkit/lib/libmetkit.so"), ] def _run_cli(args, monkeypatch): monkeypatch.setattr(sys, "argv", ["pymetkit"] + args) try: main() return 0 except SystemExit as exc: return exc.code def _expected_entry(name, path): """Build the expected log fragment for a findlibs lookup line.""" label = f"{name} [Optional]" if name in OPTIONAL_DEPENDENCIES else name home = Path(path).parent.parent return f"{label}: {home}" @pytest.fixture(autouse=True) def capture_info_logs(caplog): caplog.set_level(logging.INFO) @pytest.fixture(autouse=True) def version_info_mock(monkeypatch): mock = MagicMock(return_value=FAKE_VERSION_INFO) monkeypatch.setattr(_internal, "version_info", mock) return mock @pytest.fixture def find_mock(monkeypatch): mock = MagicMock(side_effect=lambda name: ALL_LIBS.get(name)) monkeypatch.setattr(findlibs, "find", mock) return mock # --print-home def test_print_home_success(find_mock, monkeypatch, caplog): exit_code = _run_cli(["--print-home"], monkeypatch) assert exit_code == 0 def test_print_home_logs_version_info(find_mock, monkeypatch, caplog): _run_cli(["--print-home"], monkeypatch) name, version, git_sha, path = FAKE_VERSION_INFO[-1] # metkit entry assert name in caplog.text assert version in caplog.text assert git_sha in caplog.text def test_print_home_not_found(monkeypatch, caplog): monkeypatch.setattr(findlibs, "find", MagicMock(return_value=None)) exit_code = _run_cli(["--print-home"], monkeypatch) assert exit_code == 1 assert "not found by findlibs" in caplog.text def test_print_home_calls_find_with_metkit(find_mock, monkeypatch): _run_cli(["--print-home"], monkeypatch) find_mock.assert_called_once_with("metkit") # --print-home-deps def test_print_home_deps_all_found(find_mock, monkeypatch, caplog): exit_code = _run_cli(["--print-home-deps"], monkeypatch) assert exit_code == 0 for name, path in ALL_LIBS.items(): assert _expected_entry(name, path) in caplog.text def test_print_home_deps_logs_dependency_versions(find_mock, monkeypatch, caplog): _run_cli(["--print-home-deps"], monkeypatch) assert "Dependency Versions:" in caplog.text for name, version, git_sha, _ in FAKE_VERSION_INFO: assert name in caplog.text assert version in caplog.text assert git_sha in caplog.text def test_print_home_deps_dependency_versions_logged_before_exit(monkeypatch, caplog): libs_without_eckit = {k: v for k, v in ALL_LIBS.items() if k != "eckit"} monkeypatch.setattr(findlibs, "find", MagicMock(side_effect=lambda n: libs_without_eckit.get(n))) _run_cli(["--print-home-deps"], monkeypatch) assert "Dependency Versions:" in caplog.text for name, version, git_sha, _ in FAKE_VERSION_INFO: assert name in caplog.text assert version in caplog.text assert git_sha in caplog.text def test_print_home_deps_missing_required_exits_nonzero(monkeypatch, caplog): libs_without_eckit = {k: v for k, v in ALL_LIBS.items() if k != "eckit"} monkeypatch.setattr(findlibs, "find", MagicMock(side_effect=lambda n: libs_without_eckit.get(n))) exit_code = _run_cli(["--print-home-deps"], monkeypatch) assert exit_code == 1 assert "eckit" in caplog.text def test_print_home_deps_missing_required_logs_error(monkeypatch, caplog): libs_without_eckit = {k: v for k, v in ALL_LIBS.items() if k != "eckit"} monkeypatch.setattr(findlibs, "find", MagicMock(side_effect=lambda n: libs_without_eckit.get(n))) _run_cli(["--print-home-deps"], monkeypatch) errors = [r for r in caplog.records if r.levelno == logging.ERROR and "eckit" in r.message] assert errors def test_print_home_deps_missing_optional_exits_zero(monkeypatch): libs_without_eccodes = {k: v for k, v in ALL_LIBS.items() if k != "eccodes"} monkeypatch.setattr(findlibs, "find", MagicMock(side_effect=lambda n: libs_without_eccodes.get(n))) exit_code = _run_cli(["--print-home-deps"], monkeypatch) assert exit_code == 0 def test_print_home_deps_missing_optional_logs_info_not_error(monkeypatch, caplog): libs_without_eccodes = {k: v for k, v in ALL_LIBS.items() if k != "eccodes"} monkeypatch.setattr(findlibs, "find", MagicMock(side_effect=lambda n: libs_without_eccodes.get(n))) _run_cli(["--print-home-deps"], monkeypatch) eccodes_records = [r for r in caplog.records if "eccodes" in r.message] assert eccodes_records assert all(r.levelno == logging.INFO for r in eccodes_records) def test_print_home_deps_optional_marker_in_message(monkeypatch, caplog): libs_without_eccodes = {k: v for k, v in ALL_LIBS.items() if k != "eccodes"} monkeypatch.setattr(findlibs, "find", MagicMock(side_effect=lambda n: libs_without_eccodes.get(n))) _run_cli(["--print-home-deps"], monkeypatch) assert "[Optional]" in caplog.text def test_print_home_deps_queries_all_deps(find_mock, monkeypatch): _run_cli(["--print-home-deps"], monkeypatch) queried = {call.args[0] for call in find_mock.call_args_list} assert queried == set(DEPENDENCY_ORDER) def test_print_home_deps_disable_vars_appear_before_homes(find_mock, monkeypatch, caplog): monkeypatch.setenv("FINDLIBS_DISABLE_METKIT", "1") _run_cli(["--print-home-deps"], monkeypatch) lines = caplog.text.splitlines() disable_idx = next(i for i, line in enumerate(lines) if "FINDLIBS_DISABLE_METKIT" in line) first_dep_idx = next(i for i, line in enumerate(lines) if "metkit:" in line) assert disable_idx < first_dep_idx # Output format def test_logging_format(monkeypatch): calls = [] monkeypatch.setattr(logging, "basicConfig", lambda **kwargs: calls.append(kwargs)) monkeypatch.setattr(findlibs, "find", MagicMock(return_value="/fake/metkit/lib/libmetkit.so")) _run_cli(["--print-home"], monkeypatch) assert calls, "basicConfig must be called" fmt = calls[0]["format"] assert "%(asctime)s" in fmt assert "%(levelname)" in fmt assert "%(message)s" in fmt def test_verbose_sets_debug_level(monkeypatch): calls = [] monkeypatch.setattr(logging, "basicConfig", lambda **kwargs: calls.append(kwargs)) monkeypatch.setattr(findlibs, "find", MagicMock(return_value="/fake/metkit/lib/libmetkit.so")) _run_cli(["--print-home", "--verbose"], monkeypatch) assert calls[0]["level"] == logging.DEBUG def test_default_level_is_info(monkeypatch): calls = [] monkeypatch.setattr(logging, "basicConfig", lambda **kwargs: calls.append(kwargs)) monkeypatch.setattr(findlibs, "find", MagicMock(return_value="/fake/metkit/lib/libmetkit.so")) _run_cli(["--print-home"], monkeypatch) assert calls[0]["level"] == logging.INFO # No arguments def test_no_args_exits_with_code_2(monkeypatch): exit_code = _run_cli([], monkeypatch) assert exit_code == 2 # metkit build/runtime version compatibility METKIT_BUILD_VERSION = "1.19.0" def test_matching_versions_do_not_warn(): # FAKE_VERSION_INFO reports metkit 1.19.0, matching the build version. with warnings.catch_warnings(): warnings.simplefilter("error") _check_metkit_version_compatibility(METKIT_BUILD_VERSION, FAKE_VERSION_INFO) def test_mismatched_versions_warn(): with pytest.warns(UserWarning) as record: _check_metkit_version_compatibility("1.18.0", FAKE_VERSION_INFO) message = str(record[0].message) assert "1.18.0" in message assert METKIT_BUILD_VERSION in message def test_mismatch_warning_points_at_the_diagnostics_command(): with pytest.warns(UserWarning, match="--print-home-deps"): _check_metkit_version_compatibility("1.18.0", FAKE_VERSION_INFO) def test_only_the_metkit_entry_is_compared(): # eckit 1.32.5 and eccodes 2.46.0 must not be mistaken for the metkit version. without_metkit_match = [entry for entry in FAKE_VERSION_INFO if entry[0] != "metkit"] + [ ("metkit", "1.18.0", "ghi9012", "/fake/metkit/lib/libmetkit.so") ] with pytest.warns(UserWarning, match="1.18.0"): _check_metkit_version_compatibility(METKIT_BUILD_VERSION, without_metkit_match) def test_missing_metkit_entry_raises(): runtime_info = [entry for entry in FAKE_VERSION_INFO if entry[0] != "metkit"] with pytest.raises(RuntimeError, match="could not determine the version"): _check_metkit_version_compatibility(METKIT_BUILD_VERSION, runtime_info) def test_empty_runtime_info_raises(): with pytest.raises(RuntimeError, match="could not determine the version"): _check_metkit_version_compatibility(METKIT_BUILD_VERSION, []) metkit-1.22.0/tests/tools/0000775000175000017500000000000015263642712015567 5ustar alastairalastairmetkit-1.22.0/tests/tools/CMakeLists.txt0000664000175000017500000000050315263642712020325 0ustar alastairalastair if ( HAVE_GRIB AND HAVE_BUILD_TOOLS ) list( APPEND metkit_tools grib-to-request ) foreach( _test ${metkit_tools} ) ecbuild_configure_file( ${_test}.sh.in ${_test}.sh @ONLY ) ecbuild_add_test( TYPE SCRIPT COMMAND ${_test}.sh ) endforeach( ) endif() metkit-1.22.0/tests/tools/d1.grib0000664000175000017500000005661015263642712016750 0ustar alastairalastairGRIBbT" s0000000. aad3HR(Z-Z-p^@$(-2<@HHKQZ`dlxx}   ,,@@@Dhhhhhhww@@@@@@XXXX      **```````````88888888888888eeeeeeeeeeeeeeeeeeeeeeeeeeee88888888888888```````````**      XXXX@@@@@@wwhhhhhhD@@@,,   }xxld`ZQKHH@<2-($"R* 7777GRIBbT" s0000000. aad3HR(Z-Z-p^@$(-2<@HHKQZ`dlxx}   ,,@@@Dhhhhhhww@@@@@@XXXX      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,,@@@Dhhhhhhww@@@@@@XXXX      **```````````88888888888888eeeeeeeeeeeeeeeeeeeeeeeeeeee88888888888888```````````**      XXXX@@@@@@wwhhhhhhD@@@,,   }xxld`ZQKHH@<2-($"R* 7777GRIBbT" s0000000. aad3HR(Z-Z-p^@$(-2<@HHKQZ`dlxx}   ,,@@@Dhhhhhhww@@@@@@XXXX      **```````````88888888888888eeeeeeeeeeeeeeeeeeeeeeeeeeee88888888888888```````````**      XXXX@@@@@@wwhhhhhhD@@@,,   }xxld`ZQKHH@<2-($"R* 7777GRIBbT" s0000000. aad3HR(Z-Z-p^@$(-2<@HHKQZ`dlxx}   ,,@@@Dhhhhhhww@@@@@@XXXX      **```````````88888888888888eeeeeeeeeeeeeeeeeeeeeeeeeeee88888888888888```````````**      XXXX@@@@@@wwhhhhhhD@@@,,   }xxld`ZQKHH@<2-($"R* 7777GRIBbT" s0000000. aad3HR(Z-Z-p^@$(-2<@HHKQZ`dlxx}   ,,@@@Dhhhhhhww@@@@@@XXXX      **```````````88888888888888eeeeeeeeeeeeeeeeeeeeeeeeeeee88888888888888```````````**      XXXX@@@@@@wwhhhhhhD@@@,,   }xxld`ZQKHH@<2-($: R* 7777GRIBbT" s0000000. aad3HR(Z-Z-p^@$(-2<@HHKQZ`dlxx}   ,,@@@Dhhhhhhww@@@@@@XXXX      **```````````88888888888888eeeeeeeeeeeeeeeeeeeeeeeeeeee88888888888888```````````**      XXXX@@@@@@wwhhhhhhD@@@,,   }xxld`ZQKHH@<2-($: R* 7777GRIBbT" s0000000. aad3HR(Z-Z-p^@$(-2<@HHKQZ`dlxx}   ,,@@@Dhhhhhhww@@@@@@XXXX      **```````````88888888888888eeeeeeeeeeeeeeeeeeeeeeeeeeee88888888888888```````````**      XXXX@@@@@@wwhhhhhhD@@@,,   }xxld`ZQKHH@<2-($: R* 7777metkit-1.22.0/tests/tools/grib-to-request.sh.in0000775000175000017500000000167215263642712021572 0ustar alastairalastair#!/usr/bin/env bash set -eux yell() { printf "$(basename "$0"): \033[0;31m!!! %s !!!\033[0m\\n" "$*" >&2; } die() { yell "$*"; exit 1; } line_count() { [[ $# -eq 1 ]] || die "line_count requires 1 argument; expected line count" val=$(wc -l < out) && val=$((val + 0)) [[ $val -eq $1 ]] || die "Incorrect count => [$val != $1]" } grep_count() { [[ $# -eq 2 ]] || die "grep_count requires 2; regex and expected count" val=$(grep -cE "$1" out) [[ $val -eq $2 ]] || die "Incorrect count [$val != $2] for regex [$1]" } g2r="$" srcdir=@CMAKE_CURRENT_SOURCE_DIR@ bindir=@CMAKE_CURRENT_BINARY_DIR@ export ECCODES_DEFINITION_PATH="@ECCODES_DEFINITION_PATH@" $g2r $srcdir/d1.grib | tee out line_count 16 grep_count "step=0" 13 grep_count "step=12" 3 grep_count "timespan=fs" 3 $g2r --one $srcdir/d1.grib | tee out line_count 1 $g2r --compact $srcdir/d1.grib | tee out line_count 2 grep_count "timespan=fs" 1 metkit-1.22.0/tests/test_request.cc0000664000175000017500000002171015263642712017466 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ /// @file test_request.cc /// @date Jul 2024 /// @author Emanuele Danovaro #include "eckit/log/JSON.h" #include "eckit/types/Date.h" #include "metkit/mars/MarsExpansion.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/MarsParser.h" #include "metkit/mars/MarsRequest.h" #include "metkit/mars/Type.h" #include "eckit/testing/Test.h" #include "eckit/utils/Tokenizer.h" using namespace eckit::testing; namespace metkit { namespace mars { namespace test { //----------------------------------------------------------------------------- CASE("test_request_json") { { const char* text = "retrieve,class=od,expver=0079,stream=enfh,date=20240729,time=00/" "12,type=fcmean,levtype=sfc,step=24,number=1/to/2,param=mucin/mucape/tprate"; MarsRequest r = MarsRequest::parse(text); { std::stringstream ss; eckit::JSON plain(ss); r.json(plain); EXPECT_EQUAL( ss.str(), "{\"class\":\"od\",\"type\":\"fcmean\",\"stream\":\"enfh\",\"levtype\":\"sfc\",\"date\":\"20240729\"," "\"time\":[\"0000\",\"1200\"],\"step\":\"24\",\"expver\":\"0079\",\"number\":[\"1\",\"2\"],\"param\":[" "\"228236\",\"228235\",\"172228\"],\"domain\":\"g\"}"); } { std::stringstream ss; eckit::JSON array(ss); r.json(array, true); EXPECT_EQUAL( ss.str(), "{\"class\":\"od\",\"type\":\"fcmean\",\"stream\":\"enfh\",\"levtype\":\"sfc\",\"date\":[\"20240729\"]," "\"time\":[\"0000\",\"1200\"],\"step\":[\"24\"],\"expver\":\"0079\",\"number\":[\"1\",\"2\"],\"param\":" "[\"228236\",\"228235\",\"172228\"],\"domain\":\"g\"}"); } } { const char* text = "retrieve,class=od,expver=1,stream=wave,date=20240729,time=00,type=an,levtype=sfc,step=24,param=2dfd "; MarsRequest r = MarsRequest::parse(text); { std::stringstream ss; eckit::JSON plain(ss); r.json(plain); EXPECT_EQUAL(ss.str(), "{\"class\":\"od\",\"type\":\"an\",\"stream\":\"wave\",\"levtype\":\"sfc\",\"date\":" "\"20240729\",\"time\":\"0000\",\"step\":\"24\",\"expver\":\"0001\",\"param\":\"140251\"," "\"domain\":\"g\"}"); } { std::stringstream ss; eckit::JSON array(ss); r.json(array, true); EXPECT_EQUAL(ss.str(), "{\"class\":\"od\",\"type\":\"an\",\"stream\":\"wave\",\"levtype\":\"sfc\",\"date\":[" "\"20240729\"],\"time\":[\"0000\"],\"step\":[\"24\"],\"expver\":\"0001\",\"param\":[" "\"140251\"],\"domain\":\"g\"}"); } } } CASE("test_request_count") { { const char* text = "retrieve,class=od,expver=0079,stream=enfh,date=20240729,time=00/" "12,type=fcmean,levtype=sfc,step=24,number=1/to/2,param=mucin/mucape/tprate"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(12, r.count()); } { const char* text = "retrieve,accuracy=16,class=od,date=20230810,expver=1,levelist=1/to/" "137,levtype=ml,number=-1,param=z,process=local,step=000,stream=scda,time=18,type=an,target=reference.data"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(1, r.count()); } { const char* text = "retrieve,accuracy=16,class=od,date=20230810,expver=1,levelist=1/to/137,levtype=ml,number=-1,param=z/" "t,process=local,step=000,stream=scda,time=18,type=an,target=reference.data"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(138, r.count()); } { const char* text = "retrieve,accuracy=16,class=od,date=20230810,expver=1,levelist=1/to/137,levtype=ml,number=-1,param=22/127/" "128/129/152/u/v,process=local,step=000,stream=scda,time=18,type=an,target=reference.data"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(279, r.count()); } } CASE("test_request_count_single_level_params") { // Test that single-level parameters (like 'z') are only counted when level "1" is in levelist { // levelist includes "1" - single-level param 'z' should be counted const char* text = "retrieve,class=od,date=20230810,expver=1,levelist=1/to/" "137,levtype=ml,param=z,step=000,stream=scda,time=18,type=an"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(1, r.count()); // Only level 1 for param z } { // levelist does NOT include "1" - single-level param 'z' should NOT be counted const char* text = "retrieve,class=od,date=20230810,expver=1,levelist=2/to/" "137,levtype=ml,param=z,step=000,stream=scda,time=18,type=an"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(0, r.count()); // No levels counted for param z when level 1 is absent } { // levelist includes "1" - mix of single-level (z) and multi-level (t) params const char* text = "retrieve,class=od,date=20230810,expver=1,levelist=1/to/137,levtype=ml,param=z/" "t,step=000,stream=scda,time=18,type=an"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(138, r.count()); // 137 levels for t + 1 for z } { // levelist does NOT include "1" - only multi-level param 't' should be counted const char* text = "retrieve,class=od,date=20230810,expver=1,levelist=2/to/137,levtype=ml,param=z/" "t,step=000,stream=scda,time=18,type=an"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(136, r.count()); // 136 levels (2-137) for t, 0 for z } { // levelist includes "1" in the middle of range - single-level params should be counted const char* text = "retrieve,class=od,date=20230810,expver=1,levelist=1/50/100,levtype=ml,param=z/" "t,step=000,stream=scda,time=18,type=an"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(4, r.count()); // 3 levels for t + 1 for z } { // levelist with only level "1" - both param types should be counted const char* text = "retrieve,class=od,date=20230810,expver=1,levelist=1,levtype=ml,param=z/" "t,step=000,stream=scda,time=18,type=an"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(2, r.count()); // 1 level for t + 1 for z } { // Multiple single-level params with level "1" present const char* text = "retrieve,class=od,date=20230810,expver=1,levelist=1/to/10,levtype=ml,param=152/" "z,step=000,stream=scda,time=18,type=an"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(2, r.count()); // 1 for z + 1 for 152 (both single-level params) } { // Multiple single-level params without level "1" const char* text = "retrieve,class=od,date=20230810,expver=1,levelist=2/to/10,levtype=ml,param=152/" "z,step=000,stream=scda,time=18,type=an"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(0, r.count()); // 0 for both single-level params when level 1 is absent } { const char* text = "retrieve,accuracy=16,class=od,date=20230810,expver=1,levelist=1/to/137,levtype=ml,number=-1,param=22/127/" "128/129/152/u/v,process=local,step=000,stream=scda,time=6/18,type=an,target=reference.data"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(558, r.count()); } { const char* text = "retrieve,accuracy=16,class=od,date=20230810,expver=1,levelist=3/to/137,levtype=ml,number=-1,param=22/127/" "128/129/152/u/v,process=local,step=000,stream=scda,time=6/18,type=an,target=reference.data"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(540, r.count()); } { const char* text = "retrieve,accuracy=16,class=od,date=20230810,expver=1,levelist=1/2,levtype=ml,number=-1,param=22/127/" "128/129/152/u/v,process=local,step=0/1/2,stream=scda,time=6/18,type=an,target=reference.data"; MarsRequest r = MarsRequest::parse(text); EXPECT_EQUAL(54, r.count()); } } //----------------------------------------------------------------------------- } // namespace test } // namespace mars } // namespace metkit int main(int argc, char** argv) { return run_tests(argc, argv); } metkit-1.22.0/tests/test_codes_api.cc0000664000175000017500000002541115263642712017726 0ustar alastairalastair/* * (C) Copyright 2025- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ // Include operator<< via LocalConfiguration #include #include "eccodes.h" #include "eckit/config/LocalConfiguration.h" #include "eckit/io/Buffer.h" #include "eckit/testing/Test.h" #include "metkit/codes/api/CodesAPI.h" #include "metkit/codes/api/CodesTypes.h" #include "metkit/codes/api/KeyIterator.h" namespace metkit::grib::test { //----------------------------------------------------------------------------- // No explicit expectations here // However, we iterate the whole sample and print all keys // Keys are fetched by inspecting the native type and calling a specialized getXXX // A non-throwing behaviour is at least CASE("Test iterate sample, getting all keys by native type on iterator") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); for (auto& k : handle->keys()) { // std::cout << "\t" << k.name() << ": "; auto valFromIt = k.get(); auto valFromHandle = handle->get(k.name()); auto type = k.type(); // std::visit([](const auto& v) { std::cout << v << std::endl; }, valFromIt); if (k.name() != "sectionNumber" && k.name() != "numberOfSection") { EXPECT_EQUAL(valFromIt.index(), valFromHandle.index()); std::visit( [&](const auto& v) { // std::cout << "\t(from handle): " << v << std::endl; EXPECT_EQUAL(v, std::get>(valFromHandle)); }, valFromIt); } } } CASE("Test iterate and rewrite keys") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); using IF = KeyIteratorFlags; std::vector> values; for (auto& k : handle->keys(IF::SkipReadOnly)) { values.emplace_back(k.name(), k.get()); } EXPECT(values.size() > 0); for (const auto& p : std::move(values)) { // TODO(pgeier) Raise eccodes bug about not readonly keys if (p.first == "validityDateTime") continue; if (p.first == "productType") continue; if (p.first == "isTemplateDeprecated") continue; if (p.first == "isTemplateExperimental") continue; if (p.first == "datasetForLocal") continue; if (p.first == "isMessageValid") continue; try { std::visit([&](const auto& val) { handle->set(p.first, val); }, p.second); } catch (...) { std::cerr << "Error setting " << p.first << ": "; std::visit([&](const auto& val) { std::cerr << val << std::endl; }, p.second); throw; } }; } CASE("Test geo iterator") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); long numberValues = handle->getLong("numberOfValues"); auto lons = handle->getDoubleArray("longitudes"); auto lats = handle->getDoubleArray("latitudes"); auto values = handle->getDoubleArray("values"); EXPECT_EQUAL(lons.size(), numberValues); EXPECT_EQUAL(lats.size(), numberValues); EXPECT_EQUAL(values.size(), numberValues); long count = 0; // TODO(pgeier) Use structured binding with C++20; for (const auto& {longitude, latitude, value}: handle->values()) // {} for (const auto& data : handle->values()) { // std::cout << "\t" << count << ": " << data.longitude << "/" << data.latitude << ": " << data.value << // std::endl; EXPECT_EQUAL(lons[count], data.longitude); EXPECT_EQUAL(lats[count], data.latitude); EXPECT_EQUAL(values[count], data.value); ++count; } EXPECT_EQUAL(count, numberValues); } CASE("Test setting values") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); long numberValues = handle->getLong("numberOfValues"); std::vector newVals; for (int i = 0; i < numberValues; ++i) { newVals.push_back((double)i); } EXPECT_NO_THROW(handle->set("values", newVals)); auto values = handle->getDoubleArray("values"); EXPECT_EQUAL(newVals, values); long count = 0; for (const auto& data : handle->values()) { EXPECT_EQUAL(newVals[count], data.value); ++count; } EXPECT_EQUAL(count, numberValues); } CASE("Test load and iterate mars keys") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); handle->set("date", 20250101); handle->set("time", 1400); handle->set("step", (long)18); handle->set("param", (long)132); for (auto& k : handle->keys(namespaces::mars)) { if (k.name() == "date") { EXPECT_EQUAL(std::get(k.get()), 20250101); } if (k.name() == "time") { EXPECT_EQUAL(std::get(k.get()), 1400); } if (k.name() == "step") { EXPECT_EQUAL(std::get(k.get()), 18); } if (k.name() == "levtype") { EXPECT_EQUAL(std::get(k.get()), "sfc"); } if (k.name() == "param") { EXPECT_EQUAL(std::get(k.get()), 132); } } } CASE("Test isDefined, has, isMissing, set MARS key \"class\"") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); EXPECT(!handle->isDefined("class")); EXPECT(!handle->has("class")); EXPECT(!handle->isDefined("anoffset")); EXPECT(!handle->has("anoffset")); // Set a local definition template with mars keys EXPECT_NO_THROW(handle->set("setLocalDefinition", 1)); EXPECT_NO_THROW(handle->set("localDefinitionNumber", 15)); // Mars directly get a "default" value instead of being set to missing EXPECT(handle->isDefined("class")); EXPECT(!handle->isMissing("class")); EXPECT(handle->has("class")); EXPECT_NO_THROW(handle->set("class", "od")); EXPECT_EQUAL(handle->getString("class"), std::string("od")); EXPECT(!handle->isMissing("class")); EXPECT(handle->has("class")); // Mars key can not set to be missing EXPECT_THROWS(handle->setMissing("class")); } CASE("Test set missing") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); EXPECT_NO_THROW(handle->set("productDefinitionTemplateNumber", 0)); EXPECT(handle->isDefined("scaledValueOfFirstFixedSurface")); EXPECT(handle->isMissing("scaledValueOfFirstFixedSurface")); EXPECT(!handle->has("scaledValueOfFirstFixedSurface")); EXPECT_NO_THROW(handle->set("scaledValueOfFirstFixedSurface", 123)); EXPECT_EQUAL(handle->getLong("scaledValueOfFirstFixedSurface"), 123); EXPECT(!handle->isMissing("scaledValueOfFirstFixedSurface")); EXPECT(handle->has("scaledValueOfFirstFixedSurface")); EXPECT_NO_THROW(handle->setMissing("scaledValueOfFirstFixedSurface")); EXPECT(handle->isMissing("scaledValueOfFirstFixedSurface")); EXPECT(!handle->has("scaledValueOfFirstFixedSurface")); } CASE("Test copyInto and clone") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); size_t size = handle->messageSize(); std::vector bytes(size); EXPECT_NO_THROW(handle->copyInto(bytes.data(), size)); auto handle2 = handle->clone(); EXPECT_EQUAL(handle2->messageSize(), size); size_t size2 = handle2->messageSize(); std::vector bytes2(size2); EXPECT_NO_THROW(handle2->copyInto(bytes2.data(), size2)); EXPECT_EQUAL(size, size2); for (int i = 0; i < size; ++i) { EXPECT_EQUAL(bytes[i], bytes2[i]); } } CASE("Test copyInto and codesHandleFromMessage") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); size_t size = handle->messageSize(); std::vector bytes(size); EXPECT_NO_THROW(handle->copyInto(bytes.data(), size)); auto handle2 = codesHandleFromMessage({bytes.data(), size}); EXPECT_EQUAL(handle2->messageSize(), size); size_t size2 = handle2->messageSize(); std::vector bytes2(size2); EXPECT_NO_THROW(handle2->copyInto(bytes2.data(), size2)); EXPECT_EQUAL(size, size2); for (int i = 0; i < size; ++i) { EXPECT_EQUAL(bytes[i], bytes2[i]); } } CASE("Test copyInto and codesHandleFromMessageCopy") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); size_t size = handle->messageSize(); std::vector bytes(size); EXPECT_NO_THROW(handle->copyInto(bytes.data(), size)); auto handle2 = codesHandleFromMessageCopy({bytes.data(), size}); EXPECT_EQUAL(handle2->messageSize(), size); size_t size2 = handle2->messageSize(); std::vector bytes2(size2); EXPECT_NO_THROW(handle2->copyInto(bytes2.data(), size2)); EXPECT_EQUAL(size, size2); for (int i = 0; i < size; ++i) { EXPECT_EQUAL(bytes[i], bytes2[i]); } } CASE("Test copyInto and codesHandleFromFile") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); size_t size = handle->messageSize(); std::vector bytes(size); EXPECT_NO_THROW(handle->copyInto(bytes.data(), size)); std::string ofname{"GRIB2.tmpl"}; { std::ofstream of(ofname, std::ios::binary); if (!of) { throw std::runtime_error("Failed to open file: " + ofname); } of.write(reinterpret_cast(bytes.data()), size); of.close(); } auto handle2 = codesHandleFromFile(ofname, Product::GRIB); EXPECT_EQUAL(handle2->messageSize(), size); size_t size2 = handle2->messageSize(); std::vector bytes2(size2); EXPECT_NO_THROW(handle2->copyInto(bytes2.data(), size2)); EXPECT_EQUAL(size, size2); for (int i = 0; i < size; ++i) { EXPECT_EQUAL(bytes[i], bytes2[i]); } } } // namespace metkit::grib::test namespace std { template <> struct default_delete { void operator()(codes_handle* h) { ::codes_handle_delete(h); } }; } // namespace std namespace metkit::grib::test { CASE("Test release handle") { using namespace codes; auto handle = codesHandleFromSample("GRIB2"); std::unique_ptr raw = std::unique_ptr(reinterpret_cast(handle->release())); EXPECT(raw); EXPECT_THROWS_AS(handle->getLong("discipline"), CodesException); } //----------------------------------------------------------------------------- } // namespace metkit::grib::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_mars_language_strict.cc0000664000175000017500000000134415263642712022174 0ustar alastairalastair#include #include "eckit/testing/Test.h" #include "metkit/mars/MarsLanguage.h" namespace metkit::mars::test { CASE("retrieve_best_match_param_not_matching") { // Strict is defaulted to true and this is not matching EXPECT_THROWS(MarsLanguage::get("retrieve").bestMatch("param", {"parameter"}, false, false, true, {})); }; CASE("retrieve_best_match_param_matching") { // Strict is defaulted to true and this is not matching const auto& match = MarsLanguage::get("retrieve").bestMatch("param", {"parameter", "param"}, false, false, true, {}); EXPECT_EQUAL(match, "param"); }; } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_multihandle.cc0000664000175000017500000000360415263642712020306 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ /// @file test_MetFile.cc /// @date Jan 2016 /// @author Florian Rathgeber #include "eckit/io/FileHandle.h" #include "eckit/io/MultiHandle.h" #include "eckit/testing/Test.h" #include "eccodes.h" namespace metkit::grib::test { //---------------------------------------------------------------------------------------------------------------------- CASE("openf filehandle") { eckit::FileHandle dh("latlon.grib"); FILE* f = dh.openf("r"); codes_handle* h; int err = 0; size_t count = 0; while ((h = codes_handle_new_from_file(nullptr, f, PRODUCT_ANY, &err))) { count++; codes_handle_delete(h); } fclose(f); EXPECT_EQUAL(count, 1); EXPECT_EQUAL(err, GRIB_SUCCESS); } //---------------------------------------------------------------------------------------------------------------------- CASE("openf multihandle") { eckit::MultiHandle dh; dh += new eckit::FileHandle("latlon.grib"); dh += new eckit::FileHandle("latlon.grib"); FILE* f = dh.openf("r"); codes_handle* h; int err = 0; size_t count = 0; while ((h = codes_handle_new_from_file(nullptr, f, PRODUCT_ANY, &err))) { count++; codes_handle_delete(h); } fclose(f); EXPECT_EQUAL(count, 2); EXPECT_EQUAL(err, GRIB_SUCCESS); } //----------------------------------------------------------------------------- } // namespace metkit::grib::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_integer_range.cc0000664000175000017500000001224115263642712020606 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_integer_day.cc /// @author Metin Cakircali /// @date March 2025 #include #include #include "eckit/testing/Test.h" #include "eckit/value/Value.h" #include "metkit/mars/MarsRequest.h" #include "metkit/mars/TypeInteger.h" namespace metkit::mars::test { using ::eckit::ValueList; using ::eckit::ValueMap; //---------------------------------------------------------------------------------------------------------------------- CASE("Test TypeInteger expansion range=[1,100]") { ValueMap settings; settings["range"] = ValueList{1, 100}; TypeInteger type("day", settings); Type& tday = type; // in range for (int i = 1; i < 101; ++i) { auto num = std::to_string(i); std::string value = num; EXPECT(tday.expand(value)); EXPECT_EQUAL(value, num); } // out of range { std::string value = "0"; EXPECT(!tday.expand(value)); } { std::string value = "101"; EXPECT(!tday.expand(value)); } } //---------------------------------------------------------------------------------------------------------------------- CASE("Test TypeInteger expansion range=[1,1]") { ValueMap settings; settings["range"] = ValueList{1, 1}; TypeInteger type("day", settings); Type& tday = type; { std::string value = "1"; EXPECT(tday.expand(value)); EXPECT_EQUAL("1", value); } { std::string value = "2"; EXPECT(!tday.expand(value)); } } //---------------------------------------------------------------------------------------------------------------------- CASE("Test TypeInteger day expansion range=[-1,1]") { ValueMap settings; settings["range"] = ValueList{-1, 1}; TypeInteger type("day", settings); Type& tday = type; { std::string value = "-2"; EXPECT(!tday.expand(value)); } { std::string value = "-1"; EXPECT(tday.expand(value)); EXPECT_EQUAL("-1", value); } { std::string value = "0"; EXPECT(tday.expand(value)); EXPECT_EQUAL("0", value); } { std::string value = "1"; EXPECT(tday.expand(value)); EXPECT_EQUAL("1", value); } { std::string value = "2"; EXPECT(!tday.expand(value)); } } //---------------------------------------------------------------------------------------------------------------------- CASE("Test disseminate day expansion default by/1") { std::vector expected; for (int i = 1; i < 32; ++i) { expected.push_back(std::to_string(i)); } const auto* text = R"(disseminate, class = od, expver = 1, levtype = sfc, time = 0, stream = eefo, type = fcmean, param = sd/mn2t6/mx2t6/mtsfr/tcc/stl1/msdr/tprate/msl/rsn/2d/2t/10u/10v, step = 0-168/168-336/336-504/504-672, use = monday, day = 1/to/31, number = 0/to/10, area = 90/-180/-90/179.5, grid = .5/.5, packing = simple )"; auto request = MarsRequest::parse(text); auto days = request.values("day"); EXPECT_EQUAL(days, expected); } CASE("Test disseminate day expansion") { const auto expected = std::vector{"1", "3", "5", "7", "9", "11", "13", "15", "17", "19", "21", "23", "25", "27", "29", "31"}; const auto* text = R"(disseminate, class = od, expver = 1, levtype = sfc, time = 0, stream = eefo, type = fcmean, param = sd/mn2t6/mx2t6/mtsfr/tcc/stl1/msdr/tprate/msl/rsn/2d/2t/10u/10v, step = 0-168/168-336/336-504/504-672, use = monday, day = 1/to/31/by/2, number = 0/to/10, area = 90/-180/-90/179.5, grid = .5/.5, packing = simple )"; auto request = MarsRequest::parse(text); auto days = request.values("day"); EXPECT_EQUAL(days, expected); } CASE("Test disseminate day expansion fails outside range") { const auto* text = R"(disseminate, class = od, expver = 1, levtype = sfc, time = 0, day = 1/to/48, packing = simple )"; EXPECT_THROWS_AS(MarsRequest::parse(text), eckit::UserError); } //---------------------------------------------------------------------------------------------------------------------- } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_param_axis.cc0000664000175000017500000006564715263642712020143 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_param_axis.cc /// @author Baudouin Raoult /// @date Mai 2019 #include #include #include #include #include "eckit/testing/Test.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/MarsRequest.h" #include "metkit/mars/Param.h" #include "metkit/mars/ParamID.h" #include "metkit/mars/Type.h" namespace metkit::mars::test { //----------------------------------------------------------------------------- static std::ostream& operator<<(std::ostream& out, const std::vector& params) { out << '['; const char* sep = ""; for (auto p : params) { out << sep << p; sep = ", "; } out << ']'; return out; } static void test_param_axis(const std::vector& user, const std::vector& axis, const std::vector& expect, bool expectWind, NormalisationMode mode = NormalisationMode::FullTableDropping) { bool windRequested = false; MarsRequest ignore; std::vector params(user.begin(), user.end()); std::vector expected(expect.begin(), expect.end()); std::vector index(axis.begin(), axis.end()); std::sort(index.begin(), index.end()); std::cout << "Axis:" << index << std::endl; std::cout << "User:" << params << std::endl; std::cout << "NormalisationMode:" << static_cast(mode) << std::endl; ParamID::normalise(ignore, params, index, windRequested, mode); std::cout << "Params expected: " << expected << std::endl; std::cout << " returned: " << params << std::endl; std::cout << "Wind expected: " << expectWind << std::endl; std::cout << " returned: " << windRequested << std::endl; EXPECT_EQUAL(params, expected); EXPECT_EQUAL(expectWind, windRequested); } void assertTypeExpansion(const std::string& name, std::vector values, const std::vector& expected) { const MarsLanguage& language = MarsLanguage::get("retrieve"); MarsRequest req; ExpansionContext ctx; req.setValuesTyped(language.type(name), values); req = language.expand(req, ctx, false, true); EXPECT_EQUAL(expected, req.values(name)); } CASE("canonical param") { assertTypeExpansion("param", {"129.228"}, {"228129"}); assertTypeExpansion("param", {"228129"}, {"228129"}); EXPECT_THROWS_AS(assertTypeExpansion("param", {".228"}, {""}), eckit::UserError); EXPECT_THROWS_AS(assertTypeExpansion("param", {"9999"}, {""}), eckit::UserError); assertTypeExpansion("param", {"254"}, {"254"}); assertTypeExpansion("param", {"254.128"}, {"254"}); assertTypeExpansion("param", {"254.129"}, {"129254"}); assertTypeExpansion("param", {"3003"}, {"3003"}); assertTypeExpansion("param", {"999.128"}, {"999"}); EXPECT_THROWS_AS(assertTypeExpansion("param", {"999.129"}, {"129999"}), eckit::UserError); EXPECT_THROWS_AS(assertTypeExpansion("param", {"1000.128"}, {""}), eckit::UserError); EXPECT_THROWS_AS(assertTypeExpansion("param", {"228003.228"}, {""}), eckit::UserError); } CASE("trivial") { std::vector user = {"1", "2", "3"}; std::vector axis = {"1", "2", "3"}; std::vector expect = {"1", "2", "3"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("wind1") { std::vector user = {"131", "132"}; std::vector axis = {"138", "155"}; std::vector expect = {"131", "132", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind2") { std::vector user = {"131", "132"}; std::vector axis = {"131", "132", "138", "155"}; std::vector expect = {"131", "132"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("wind3") { std::vector user = {"131", "132", "138", "155"}; std::vector axis = {"138", "155"}; std::vector expect = {"131", "132", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind4") { std::vector user = {"131.128", "132.128", "138.128", "155.128"}; std::vector axis = {"138.128", "155.128"}; std::vector expect = {"131.128", "132.128", "138.128", "155.128"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind5") { std::vector user = { "131.128", "132.128", }; std::vector axis = {"138", "155"}; std::vector expect = {"131", "132", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind6") { std::vector user = {"131.128", "132.128", "138.128", "155.128"}; std::vector axis = {"138", "155"}; std::vector expect = {"131", "132", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind7") { std::vector user = {"131", "132", "138", "155"}; std::vector axis = {"138.128", "155.128"}; std::vector expect = {"131.128", "132.128", "138.128", "155.128"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind8") { std::vector user = { "131", "132", }; std::vector axis = {"138.128", "155.128"}; std::vector expect = {"131.128", "132.128", "138.128", "155.128"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind9") { std::vector user = { "131", "132", }; std::vector axis = {"138", "155", "210131"}; std::vector expect = {"131", "132", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind10") { std::vector user = { "131", "132", }; std::vector axis = {"129138", "129155"}; std::vector expect = {"129131", "129132", "129138", "129155"}; std::vector empty = {}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, empty, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("wind11") { std::vector user = { "131", "132", }; std::vector axis = {"138", "155", "129138", "129155"}; std::vector expect = {"131", "132", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind12") { std::vector user = { "131", "132.129", }; std::vector axis = {"138", "155", "129138", "129155"}; std::vector expect = {"131", "129132", "138", "155", "129138", "129155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind13") { std::vector user = { "131.128", "132.128", }; std::vector axis = {"138", "155", "210131"}; std::vector expect = {"131", "132", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind14") { std::vector user = { "131", }; std::vector axis = {"138", "155", "210131"}; std::vector expect = {"131", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind15") { std::vector user = { "210131", }; std::vector axis = {"138", "155", "210131"}; std::vector expect = {"210131"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("wind16") { std::vector user = { "210131", "131", }; std::vector axis = {"138", "155", "210131"}; std::vector expect = {"210131", "131", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind17") { std::vector user = { "210131", "132", }; std::vector axis = {"138", "155", "210131"}; std::vector expect = {"210131", "132", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind18") { std::vector user = { "210131", "131.128", }; std::vector axis = {"138", "155", "210131"}; std::vector expect = {"210131", "131", "138", "155"}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, expect, /*expectWind*/ true, metkit::NormalisationMode::Strict); } CASE("wind19") { std::vector user = { "132", }; std::vector axis = {"160138", "160155", "160131"}; std::vector expect = {"160132", "160138", "160155"}; std::vector empty = {}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, empty, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("wind20") { std::vector user = { "131", }; std::vector axis = {"160138", "160155", "160131"}; std::vector expect = {"160131"}; std::vector empty = {}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, empty, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("wind21") { std::vector user = { "132", }; std::vector axis = { "120138", "120155", "170138", "170155", }; std::vector expect = {"170132", "170138", "170155"}; std::vector empty = {}; test_param_axis(user, axis, expect, /*expectWind*/ true); test_param_axis(user, axis, empty, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("mixed") { std::vector user = { "129", }; std::vector axis = {"129.128", "129"}; std::vector expect = {"129"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("ocean1") { std::vector user = {"145"}; std::vector axis = {"145.128", "164.128", "175.128", "148.128", "145.151", "164.151", "175.151", "148.151"}; std::vector expect = {"145.128"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("ocean2") { std::vector user = {"145", "151145"}; std::vector axis = {"145.128", "164.128", "175.128", "148.128", "145.151", "164.151", "175.151", "148.151"}; std::vector expect = {"145.128", "145.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("ocean3") { std::vector user = {"145", "164", "175", "148", "151145"}; std::vector axis = {"145.128", "164.128", "175.128", "148.128", "145.151", "164.151", "175.151", "148.151"}; std::vector expect = {"145.128", "164.128", "175.128", "148.128", "145.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("ocean4") { std::vector user = {"145", "164", "175", "148"}; std::vector axis = {"145.151", "164.151", "175.151", "148.151"}; std::vector expect = {"145.151", "164.151", "175.151", "148.151"}; std::vector empty = {}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, empty, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("MARS-794 - GRIB1 and GRIB2 in axis") { // Note the paramId's at the end std::vector axis = { "1.228", "3.228", "7.228", "8.128", "8.228", "9.128", "9.228", "10.228", "11.228", "12.228", "13.228", "14.228", "20.3", "20.128", "21.228", "22.228", "23.228", "24.228", "26.128", "29.228", "31.128", "32.128", "33.128", "34.128", "35.128", "36.128", "37.128", "38.128", "39.128", "40.128", "41.128", "42.128", "44.128", "44.228", "45.128", "46.228", "47.128", "47.228", "48.228", "49.128", "50.128", "57.128", "58.128", "59.128", "66.128", "67.128", "78.128", "79.128", "80.228", "81.228", "82.228", "83.228", "84.228", "85.228", "88.228", "89.228", "90.228", "98.174", "129.128", "130.151", "131.151", "131.228", "132.151", "132.228", "134.128", "136.128", "137.128", "139.128", "141.128", "142.128", "143.128", "144.128", "145.128", "145.151", "146.128", "147.128", "148.128", "148.151", "151.128", "159.128", "163.151", "164.128", "164.151", "165.128", "166.128", "167.128", "168.128", "169.128", "170.128", "172.128", "175.128", "175.151", "176.128", "177.128", "178.128", "179.128", "180.128", "181.128", "182.128", "183.128", "186.128", "187.128", "188.128", "189.128", "195.128", "196.128", "197.128", "198.128", "201.128", "202.128", "205.128", "206.128", "208.128", "209.128", "210.128", "211.128", "212.128", "213.128", "216.228", "217.228", "218.228", "219.228", "220.228", "221.228", "226.228", "227.228", "228.128", "229.128", "230.128", "231.128", "232.128", "235.128", "236.128", "238.128", "239.228", "240.228", "241.228", "243.128", "244.128", "245.128", "246.228", "247.228", "251.228", "162071", "162072", "228050", "228051", "260015", "260048", "260109", "260121", "260123", "26.228", "27.228", "28.228", "121.128", "122.128", "123.128", "222.228", "223.228", "224.228", "225.228", "228035", "228036", "228057", "228058"}; // by parameter xxx SECTION("by xxx only - priority to table 128") { std::vector user = {"148", "145", "164", "175"}; std::vector expect = {"148.128", "145.128", "164.128", "175.128"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by xxx and param.table") { std::vector user = {"148", "145.128", "164", "175.151"}; std::vector expect = {"148.128", "145.128", "164.128", "175.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by xxx and paramId") { std::vector user = {"148", "128145", "164", "151175"}; std::vector expect = {"148.128", "145.128", "164.128", "175.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by xxx and paramId and param.table") { std::vector user = {"148", "128145", "164", "175.151"}; std::vector expect = {"148.128", "145.128", "164.128", "175.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by xxx and paramId all ") { std::vector user = {"148", "145", "164", "175", "151148", "151145", "151164", "151175"}; std::vector expect = {"148.128", "145.128", "164.128", "175.128", "148.151", "145.151", "164.151", "175.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } // by paramId SECTION("by paramId only 128") { std::vector user = {"128148", "128145", "128164", "128175"}; std::vector expect = {"148.128", "145.128", "164.128", "175.128"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by paramId only 151") { std::vector user = {"151148", "151145", "151164", "151175"}; std::vector expect = {"148.151", "145.151", "164.151", "175.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by paramId mixed 128 and 151") { std::vector user = {"151148", "128145", "128164", "151175"}; std::vector expect = {"148.151", "145.128", "164.128", "175.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by paramId all") { std::vector user = {"151148", "151145", "151164", "151175", "128148", "128145", "128164", "128175"}; std::vector expect = {"148.151", "145.151", "164.151", "175.151", "148.128", "145.128", "164.128", "175.128"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } // by param.table SECTION("by param.table only 128") { std::vector user = {"148.128", "145.128", "164.128", "175.128"}; std::vector expect = {"148.128", "145.128", "164.128", "175.128"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by param.table only 151") { std::vector user = {"148.151", "145.151", "164.151", "175.151"}; std::vector expect = {"148.151", "145.151", "164.151", "175.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by param.table mixed 128 and 151") { std::vector user = {"148.128", "145.151", "164.128", "175.151"}; std::vector expect = {"148.128", "145.151", "164.128", "175.151"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } SECTION("by param.table all") { std::vector user = {"148.151", "145.151", "164.151", "175.151", "148.128", "145.128", "164.128", "175.128"}; std::vector expect = {"148.151", "145.151", "164.151", "175.151", "148.128", "145.128", "164.128", "175.128"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } } CASE("table1") { std::vector user = {"129", "130.128"}; std::vector axis = {"129.128", "130"}; std::vector expect = {"129.128", "130"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table2") { std::vector user = {"129", "130.128"}; std::vector axis = {"129.128", "130"}; std::vector expect = {"129.128", "130"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table3") { std::vector user = { "129", }; std::vector axis = { "140129", }; std::vector expect = {"140129"}; std::vector empty = {}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, empty, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table4") { std::vector user = { "129", }; std::vector axis = { "129.140", }; std::vector expect = {"129.140"}; std::vector empty = {}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, empty, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table5") { std::vector user = { "129", }; std::vector axis = {"129.128", "129.140"}; std::vector expect = {"129.128"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table6") { std::vector user = { "129.128", }; std::vector axis = {"129.128", "129.140"}; std::vector expect = {"129.128"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table7") { std::vector user = { "129", }; std::vector axis = {"129", "140129"}; std::vector expect = {"129"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table8") { std::vector user = { "129.128", }; std::vector axis = {"129", "140129"}; std::vector expect = {"129"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table9") { std::vector user = { "129.128", }; std::vector axis = {"129", "140129"}; std::vector expect = {"129"}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table10") { std::vector user = {"131"}; std::vector axis = {"210131"}; std::vector expect = {}; test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Loose); test_param_axis(user, axis, axis, /*expectWind*/ false, metkit::NormalisationMode::FullTableDropping); } CASE("table11") { std::vector user = {"131"}; std::vector axis = {"131.210"}; std::vector expect = {}; test_param_axis(user, axis, expect, /*expectWind*/ false, metkit::NormalisationMode::Loose); test_param_axis(user, axis, axis, /*expectWind*/ false, metkit::NormalisationMode::FullTableDropping); } CASE("table12") { std::vector user = {"131", "132"}; std::vector axis = {"210131", "170131", "180131", "160132"}; std::vector expect = {"170131", "160132"}; test_param_axis(user, axis, expect, /*expectWind*/ false); } CASE("table13") { std::vector user = {"131", "132"}; std::vector axis = {"210131", "131.170", "180131", "160132"}; std::vector expect = {"131.170", "160132"}; std::vector empty = {}; test_param_axis(user, axis, expect, /*expectWind*/ false); test_param_axis(user, axis, empty, /*expectWind*/ false, metkit::NormalisationMode::Strict); } CASE("table14") { std::vector user = {"134", "133"}; std::vector axis = {"210131", "133.170", "180134"}; std::vector expect = {"180134", "133.170"}; test_param_axis(user, axis, expect, /*expectWind*/ false); } CASE("table15") { std::vector user = {"134", "133.128"}; std::vector axis = {"210131", "133.170", "180134"}; std::vector expect = {"180134"}; test_param_axis(user, axis, expect, /*expectWind*/ false); } } // namespace metkit::mars::test //----------------------------------------------------------------------------- int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_context.cc0000664000175000017500000000272315263642712017465 0ustar alastairalastair/* * (C) Copyright 2025- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_step.cc /// @author Emanuele Danovaro /// @date March 2025 #include #include #include #include "eckit/testing/Test.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/Type.h" namespace metkit::mars::test { using ::eckit::BadValue; //----------------------------------------------------------------------------- CASE("Context match") { Context c; std::set cc{"s2", "ti"}; c.add(std::make_unique("class", cc)); std::set tt{"cf"}; c.add(std::make_unique("type", tt)); std::string text = "retrieve, " "class=ti,date=20250414,time=12,origin=all,expver=all,type=cf,stream=enfo,levtype=sfc,param=2t,step=24,expect=" "any,target=data.reference"; metkit::mars::MarsRequest r = MarsRequest::parse(text, true); EXPECT(c.matches(r)); } //----------------------------------------------------------------------------- } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/marsgen/0000775000175000017500000000000015263642712016063 5ustar alastairalastairmetkit-1.22.0/tests/marsgen/genfile.default0000664000175000017500000000055015263642712021042 0ustar alastairalastairverb, default@expver = 9999, default@class = EA, default@stream = LWDA, class=EA, stream=LWDA, expver=1001, type=analysis,anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass="runda", date=20200601, time=06, step=00 metkit-1.22.0/tests/marsgen/genfile0000664000175000017500000000067515263642712017427 0ustar alastairalastairverb, retrieve@expver = 9999, archive@expver = 9999, retrieve@class = EA, archive@class = EA, retrieve@stream = LWDA, archive@stream = DA, class=EA, stream=LWDA, expver=1001, type=analysis,anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass="runda", date=20200601, time=06, step=00 metkit-1.22.0/tests/marsgen/CMakeLists.txt0000664000175000017500000000052315263642712020623 0ustar alastairalastair list( APPEND marsgen_tests simple compare obs legacy) foreach( _test ${marsgen_tests} ) configure_file( metkit_marsgen_${_test}.sh.in metkit_marsgen_${_test}.sh @ONLY ) ecbuild_add_test( TYPE SCRIPT CONDITION HAVE_BUILD_TOOLS COMMAND metkit_marsgen_${_test}.sh ) endforeach()metkit-1.22.0/tests/marsgen/metkit_marsgen_legacy.sh.in0000775000175000017500000000166215263642712023371 0ustar alastairalastair#!/bin/bash set -uex [ -e outfile.legacy ] && rm outfile.legacy MARSGEN="@CMAKE_BINARY_DIR@/bin/mars-archive-script" GENFILE="@CMAKE_CURRENT_SOURCE_DIR@/genfile.legacy" OUTFILE="outfile.legacy" CHECKFILE="checkfile.legacy" $MARSGEN --in="$GENFILE" --out="$OUTFILE" cat << EOF > $CHECKFILE \$RETRIEVE_MARS << @ retrieve, class=EA, stream=LWDA, expver=9999, type=analysis, anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass=runda, date=20200601, time=06, step=00, target=mars.source.0 @ \$RETRIEVE_COMPLETE \$UNBLOCK mars.source.0 mars.archive.0 \$ARCHIVE_MARS << @ archive, class=EA, stream=DA, expver=9999, type=analysis, anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass=runda, date=20200601, time=06, step=00, source=mars.archive.0 @ \$ARCHIVE_COMPLETE EOF cmp $CHECKFILE $OUTFILE metkit-1.22.0/tests/marsgen/genfile.legacy0000664000175000017500000000071115263642712020661 0ustar alastairalastairverb, fdb_retrieve@expver = 9999, archive@expver = 9999, fdb_retrieve@class = EA, archive@class = EA, fdb_retrieve@stream = LWDA, archive@stream = DA, class=EA, stream=LWDA, expver=1001, type=analysis,anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass="runda", date=20200601, time=06, step=00 metkit-1.22.0/tests/marsgen/metkit_marsgen_obs.sh.in0000775000175000017500000000117115263642712022703 0ustar alastairalastair#!/bin/bash set -uex [ -e outfile.obs ] && rm outfile.obs MARSGEN="@CMAKE_BINARY_DIR@/bin/mars-archive-script" GENFILE="@CMAKE_CURRENT_SOURCE_DIR@/genfile" OUTFILE="outfile.obs" CHECKFILE="checkfile.obs" $MARSGEN --obs < $GENFILE > $OUTFILE cat << EOF > $CHECKFILE \$PREOBS \$header.1 \$data.1 mars.archive.0 \$ARCHIVE_MARS << @ archive, class=EA, stream=DA, expver=9999, type=analysis, anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass=runda, date=20200601, time=06, step=00, source=mars.archive.0 @ \$ARCHIVE_COMPLETE EOF cmp $CHECKFILE $OUTFILE metkit-1.22.0/tests/marsgen/metkit_marsgen_compare.sh.in0000775000175000017500000000164315263642712023552 0ustar alastairalastair#!/bin/bash set -uex [ -e outfile.compare ] && rm outfile.compare MARSGEN="@CMAKE_BINARY_DIR@/bin/mars-archive-script" GENFILE="@CMAKE_CURRENT_SOURCE_DIR@/genfile" OUTFILE="outfile.compare" CHECKFILE="checkfile.compare" $MARSGEN < $GENFILE > $OUTFILE cat << EOF > $CHECKFILE \$RETRIEVE_MARS << @ retrieve, class=EA, stream=LWDA, expver=9999, type=analysis, anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass=runda, date=20200601, time=06, step=00, target=mars.source.0 @ \$RETRIEVE_COMPLETE \$UNBLOCK mars.source.0 mars.archive.0 \$ARCHIVE_MARS << @ archive, class=EA, stream=DA, expver=9999, type=analysis, anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass=runda, date=20200601, time=06, step=00, source=mars.archive.0 @ \$ARCHIVE_COMPLETE EOF cmp $CHECKFILE $OUTFILEmetkit-1.22.0/tests/marsgen/metkit_marsgen_simple.sh.in0000775000175000017500000000165315263642712023416 0ustar alastairalastair#!/bin/bash set -uex [ -e outfile.simple ] && rm outfile.simple MARSGEN="@CMAKE_BINARY_DIR@/bin/mars-archive-script" GENFILE="@CMAKE_CURRENT_SOURCE_DIR@/genfile" OUTFILE="outfile.simple" CHECKFILE="checkfile.simple" $MARSGEN --in="$GENFILE" --out="$OUTFILE" cat << EOF > $CHECKFILE \$RETRIEVE_MARS << @ retrieve, class=EA, stream=LWDA, expver=9999, type=analysis, anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass=runda, date=20200601, time=06, step=00, target=mars.source.0 @ \$RETRIEVE_COMPLETE \$UNBLOCK mars.source.0 mars.archive.0 \$ARCHIVE_MARS << @ archive, class=EA, stream=DA, expver=9999, type=analysis, anoffset=3, param=129/152/130/138/155/75/76/133/203.128/246/247/248, levtype=modellevels, levels=1/to/137, pass=runda, date=20200601, time=06, step=00, source=mars.archive.0 @ \$ARCHIVE_COMPLETE EOF cmp $CHECKFILE $OUTFILE metkit-1.22.0/tests/test_hypercube.cc0000664000175000017500000001622015263642712017764 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ /// @file test_MetFile.cc /// @date Jan 2016 /// @author Florian Rathgeber #include #include "eckit/testing/Test.h" #include "metkit/hypercube/HyperCube.h" #include "metkit/mars/MarsRequest.h" namespace metkit::mars::test { //----------------------------------------------------------------------------- CASE("test_metkit_hypercube") { const char* text = "retrieve,class=rd,type=an,stream=oper,levtype=pl,date=20191110,time=0000,step=0,expver=xxxy,domain=g,levelist=" "500,param=138"; MarsRequest r = MarsRequest::parse(text); metkit::hypercube::HyperCube cube(r); EXPECT(cube.contains(r)); EXPECT_EQUAL(cube.size(), 1); EXPECT_EQUAL(cube.vacantRequests().size(), 1); EXPECT(!(r < *cube.vacantRequests().begin())); EXPECT(!(*cube.vacantRequests().begin() < r)); } CASE("test_metkit_hypercube_subset") { const char* text = "retrieve,class=rd,type=an,stream=oper,levtype=pl,date=20191110,time=0000,step=0,expver=xxxy,domain=g,levelist=" "500/600,param=138"; MarsRequest r = MarsRequest::parse(text); metkit::hypercube::HyperCube cube(r); EXPECT_EQUAL(cube.size(), 2); EXPECT_EQUAL(cube.countVacant(), 2); EXPECT_EQUAL(cube.vacantRequests().size(), 1); EXPECT(!(r < *cube.vacantRequests().begin())); EXPECT(!(*cube.vacantRequests().begin() < r)); const char* text500 = "retrieve,class=rd,type=an,stream=oper,levtype=pl,date=20191110,time=0000,step=0,expver=xxxy,domain=g,levelist=" "500,param=138"; MarsRequest r500 = MarsRequest::parse(text500); const char* text600 = "retrieve,class=rd,type=an,stream=oper,levtype=pl,date=20191110,time=0000,step=0,expver=xxxy,domain=g,levelist=" "600,param=138"; MarsRequest r600 = MarsRequest::parse(text600); EXPECT_THROWS(cube.contains(r)); EXPECT(cube.contains(r500)); EXPECT(cube.contains(r600)); cube.clear(r500); EXPECT(!cube.contains(r500)); EXPECT_EQUAL(cube.size(), 2); EXPECT_EQUAL(cube.countVacant(), 1); EXPECT_EQUAL(cube.vacantRequests().size(), 1); EXPECT(!(r600 < *cube.vacantRequests().begin())); EXPECT(!(*cube.vacantRequests().begin() < r600)); cube.clear(r600); EXPECT_EQUAL(cube.countVacant(), 0); } CASE("test_metkit_hypercube_request") { const char* text = "retrieve,class=rd,type=an,stream=oper,levtype=pl,date=20191110,time=0000,step=0,expver=xxxy,domain=g,levelist=" "500/600,param=138/155"; MarsRequest r = MarsRequest::parse(text); metkit::hypercube::HyperCube cube(r); EXPECT_EQUAL(cube.size(), 4); EXPECT_EQUAL(cube.countVacant(), 4); EXPECT_EQUAL(cube.vacantRequests().size(), 1); EXPECT(!(r < *cube.vacantRequests().begin())); EXPECT(!(*cube.vacantRequests().begin() < r)); const char* text500 = "retrieve,class=rd,type=an,stream=oper,levtype=pl,date=20191110,time=0000,step=0,expver=xxxy,domain=g,levelist=" "500,param=138"; MarsRequest r500 = MarsRequest::parse(text500); const char* text600 = "retrieve,class=rd,type=an,stream=oper,levtype=pl,date=20191110,time=0000,step=0,expver=xxxy,domain=g,levelist=" "600,param=138"; MarsRequest r600 = MarsRequest::parse(text600); EXPECT_THROWS(cube.contains(r)); EXPECT(cube.contains(r500)); EXPECT(cube.contains(r600)); cube.clear(r500); EXPECT(!cube.contains(r500)); EXPECT_EQUAL(cube.size(), 4); EXPECT_EQUAL(cube.countVacant(), 3); EXPECT_EQUAL(cube.vacantRequests().size(), 2); cube.clear(r600); EXPECT_EQUAL(cube.countVacant(), 2); EXPECT_EQUAL(cube.vacantRequests().size(), 1); const char* text155 = "retrieve,class=rd,type=an,stream=oper,levtype=pl,date=20191110,time=0000,step=0,expver=xxxy,domain=g,levelist=" "500/600,param=155"; MarsRequest r155 = MarsRequest::parse(text155); EXPECT(!(r155 < *cube.vacantRequests().begin())); EXPECT(!(*cube.vacantRequests().begin() < r155)); } CASE("test_metkit_hypercube_request METK-132") { std::vector keys = {"levelist", "param"}; MarsRequest r = MarsRequest::parse("retrieve,levelist=2/4/1/3/5,param=228038/235094/235077/235078"); metkit::hypercube::HyperCube cube{r}; // unset levelist 5 for params 235077/235094 cube.clear(MarsRequest::parse("retrieve,levelist=5,param=235077")); cube.clear(MarsRequest::parse("retrieve,levelist=5,param=235094")); std::vector expected_flat_requests = { MarsRequest::parse("retrieve,levelist=1,param=228038"), MarsRequest::parse("retrieve,levelist=2,param=228038"), MarsRequest::parse("retrieve,levelist=3,param=228038"), MarsRequest::parse("retrieve,levelist=4,param=228038"), MarsRequest::parse("retrieve,levelist=5,param=228038"), MarsRequest::parse("retrieve,levelist=1,param=235077"), MarsRequest::parse("retrieve,levelist=2,param=235077"), MarsRequest::parse("retrieve,levelist=3,param=235077"), MarsRequest::parse("retrieve,levelist=4,param=235077"), MarsRequest::parse("retrieve,levelist=1,param=235094"), MarsRequest::parse("retrieve,levelist=2,param=235094"), MarsRequest::parse("retrieve,levelist=3,param=235094"), MarsRequest::parse("retrieve,levelist=4,param=235094"), MarsRequest::parse("retrieve,levelist=1,param=235078"), MarsRequest::parse("retrieve,levelist=2,param=235078"), MarsRequest::parse("retrieve,levelist=3,param=235078"), MarsRequest::parse("retrieve,levelist=4,param=235078"), MarsRequest::parse("retrieve,levelist=5,param=235078"), // These two requests we have removed from the cube: // MarsRequest::parse("retrieve,levelist=5,param=235077"), // MarsRequest::parse("retrieve,levelist=5,param=235094"), }; auto dense_requests = cube.vacantRequests(); EXPECT_EQUAL(dense_requests.size(), 2); std::vector flattened_requests; for (const auto& req : cube.vacantRequests()) { // surely this should be requests, not vacantRequests... anyway... auto flattened = req.split(keys); for (const auto& f : flattened) { flattened_requests.push_back(f); } } EXPECT_EQUAL(flattened_requests.size(), 18); EXPECT_EQUAL(flattened_requests.size(), expected_flat_requests.size()); // compare both vectors std::sort(flattened_requests.begin(), flattened_requests.end()); std::sort(expected_flat_requests.begin(), expected_flat_requests.end()); for (size_t i = 0; i < expected_flat_requests.size(); ++i) { EXPECT_EQUAL(flattened_requests[i].values("levelist"), expected_flat_requests[i].values("levelist")); EXPECT_EQUAL(flattened_requests[i].values("param"), expected_flat_requests[i].values("param")); } } } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/.git-blame-ignore-revs0000664000175000017500000000070015263642712017362 0ustar alastairalastair# The following refs can be ignored by git blame if 'git blame' is called with # --ignore-revs-file .git-blame-ignore-revs # Alternatively configure git to always ignore refs stored in this file by # calling: # git config blame.ignoreRevsFile .git-blame-ignore-revs # Or extend your git config manually with # [blame] # ignoreRevsFile = .git-blame-ignore-revs # Reformatted codebase with clang-format caa877e4812ef00c792326f8d71683f95422c33f metkit-1.22.0/CMakeLists.txt0000664000175000017500000001063715263642712016034 0ustar alastairalastair# (C) Copyright 2011- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. ######################################################################################################################## cmake_minimum_required( VERSION 3.18 FATAL_ERROR ) find_package( ecbuild 3.12 REQUIRED HINTS ${CMAKE_CURRENT_SOURCE_DIR} ${CMAKE_CURRENT_SOURCE_DIR}/../ecbuild) project( metkit LANGUAGES CXX C ) set(CMAKE_CXX_STANDARD 17) set(CMAKE_CXX_STANDARD_REQUIRED ON) ######################################################################################################################## ### dependencies and options if(NOT METKIT_CONFIGS_BRANCH) set(METKIT_CONFIGS_BRANCH chk) endif() # eckit set( PERSISTENT_NAMESPACE "eckit" CACHE INTERNAL "" ) # needed for generating .b files for persistent support ecbuild_find_package( NAME eckit VERSION 1.32 REQUIRED ) ecbuild_add_option( FEATURE BUILD_TOOLS DEFAULT ON DESCRIPTION "Build the command line tools" ) ecbuild_add_option( FEATURE BUILD_GRIB2_TOOLS DEFAULT OFF DESCRIPTION "Build the command line tools to support the migration to Grib2" ) ecbuild_add_option( FEATURE EXPERIMENTAL DEFAULT OFF DESCRIPTION "Experimental features" ) # GRIB support ecbuild_add_option( FEATURE GRIB DEFAULT ON DESCRIPTION "Add support for GRIB format" REQUIRED_PACKAGES "NAME eccodes VERSION 2.46" ) # BUFR support ecbuild_add_option( FEATURE BUFR DEFAULT ON DESCRIPTION "Add support for BUFR format" REQUIRED_PACKAGES "NAME eccodes VERSION 2.46" ) # netcdf support ecbuild_add_option( FEATURE NETCDF DEFAULT ON DESCRIPTION "Support for NetCDF data" REQUIRED_PACKAGES NetCDF ) # ODB support ecbuild_add_option( FEATURE ODB DEFAULT ON DESCRIPTION "Add support for ODB data" REQUIRED_PACKAGES "NAME odc VERSION 1.0" ) # MARS2GRIB encoder ecbuild_add_option( FEATURE GRIB2MARS DEFAULT ON CONDITION HAVE_GRIB AND eckit_HAVE_ECKIT_GEO AND eccodes_HAVE_ECKIT_GEO DESCRIPTION "Build the GRIB2MARS converter" ) ecbuild_add_option( FEATURE MARS2MARS DEFAULT ON DESCRIPTION "Build the convert-to-grib2 MarsRequest converter" ) ecbuild_add_option( FEATURE MARS2GRIB DEFAULT ON CONDITION HAVE_GRIB AND eckit_HAVE_ECKIT_GEO AND eccodes_HAVE_ECKIT_GEO DESCRIPTION "Build the MARS2GRIB encoder" ) # Pythonic pybind11 interface (pymetkit) ecbuild_add_option( FEATURE PYTHON_METKIT_INTERFACE DEFAULT OFF DESCRIPTION "Build the pybind11 pymetkit interface" REQUIRED_PACKAGES "NAME Python VERSION 3.11 COMPONENTS Interpreter Development" "NAME pybind11 VERSION 3.0.1" ) # METKIT config files support ecbuild_add_option( FEATURE METKIT_CONFIG DEFAULT ON DESCRIPTION "Install metkit configuration files" ) # Temporary ecbuild_add_option( FEATURE FAIL_ON_CCSDS DESCRIPTION "Fail on CCSDS" DEFAULT OFF ) ### Documentation ecbuild_add_option( FEATURE METKIT_DOCUMENTATION DEFAULT OFF DESCRIPTION "Enable documentation generation" ) ############################################################################################ # sources include(cmake/compiler_warnings.cmake) # optionally handle compiler specific warnings add_subdirectory( src ) add_subdirectory( share ) add_subdirectory( tests ) if(ENABLE_METKIT_DOCUMENTATION) add_subdirectory(docs) endif() ############################################################################################ # finalize ecbuild_pkgconfig( NAME metkit DESCRIPTION "ECMWF Meteorological toolkit" LIBRARIES metkit ) ecbuild_install_project( NAME ${PROJECT_NAME} ) ecbuild_print_summary() metkit-1.22.0/share/0000775000175000017500000000000015263642712014367 5ustar alastairalastairmetkit-1.22.0/share/CMakeLists.txt0000664000175000017500000000003315263642712017123 0ustar alastairalastairadd_subdirectory( metkit ) metkit-1.22.0/share/metkit/0000775000175000017500000000000015263642712015664 5ustar alastairalastairmetkit-1.22.0/share/metkit/parameter_metadata.json0000664000175000017500001176502115263642712022414 0ustar alastairalastair[{"id":1,"shortname":"strf","longname":"Stream function","units":"m**2 s**-1","description":"The horizontal wind field can be separated into divergent flow (i.e., flow that is purely divergent, with no swirl or rotation) and rotational flow (i.e., flow that is purely rotational and has no divergence).

The rotational (non-divergent) flow follows lines of constant stream function value (streamlines) and the speed of flow is proportional to the stream function gradient.

So streamlines show patterns of horizontal, rotational, air flow and the paths that particles would follow if the flow did not change with time.","access_ids":["dissemination"],"origin_ids":[0,34,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"},{"class":"od","stream":"eefo","type":"taes","levtype":"pl"},{"class":"od","stream":"eehs","type":"taem","levtype":"pl"},{"class":"od","stream":"eehs","type":"taes","levtype":"pl"},{"class":"od","stream":"efhs","type":"taem","levtype":"pl"},{"class":"od","stream":"efhs","type":"taes","levtype":"pl"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"}]},{"id":2,"shortname":"vp","longname":"Velocity potential","units":"m**2 s**-1","description":"The horizontal wind field can be separated into divergent flow (i.e., flow that is purely divergent, with no swirl or rotation) and rotational flow (i.e., flow that is purely rotational and has no divergence).

This parameter is the scalar quantity whose gradient is the velocity vector of the irrotational flow. It can be used to show areas where the air is diverging (spreading out) or converging, which, depending on the vertical level, relate to ascending or descending air.","access_ids":["dissemination"],"origin_ids":[0,34,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"},{"class":"od","stream":"eefo","type":"taes","levtype":"pl"},{"class":"od","stream":"eehs","type":"taem","levtype":"pl"},{"class":"od","stream":"eehs","type":"taes","levtype":"pl"},{"class":"od","stream":"efhs","type":"taem","levtype":"pl"},{"class":"od","stream":"efhs","type":"taes","levtype":"pl"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"}]},{"id":3,"shortname":"pt","longname":"Potential temperature","units":"K","description":"","access_ids":["dissemination"],"origin_ids":[0,34,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"pv"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"pv"},{"class":"od","stream":"eefh","type":"pf","levtype":"pv"},{"class":"od","stream":"eefo","type":"cf","levtype":"pv"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"pv"},{"class":"od","stream":"eefo","type":"pf","levtype":"pv"},{"class":"od","stream":"elda","type":"4v","levtype":"pv"},{"class":"od","stream":"elda","type":"an","levtype":"pv"},{"class":"od","stream":"elda","type":"fc","levtype":"pv"},{"class":"od","stream":"enfh","type":"cf","levtype":"pv"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pv"},{"class":"od","stream":"enfh","type":"pf","levtype":"pv"},{"class":"od","stream":"enfo","type":"pf","levtype":"pv"},{"class":"od","stream":"lwda","type":"4v","levtype":"pv"},{"class":"od","stream":"lwda","type":"an","levtype":"pv"},{"class":"od","stream":"lwda","type":"fc","levtype":"pv"},{"class":"od","stream":"mmsf","type":"fc","levtype":"pv"},{"class":"od","stream":"msmm","type":"em","levtype":"pv"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"pv"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"pv"},{"class":"od","stream":"oper","type":"4v","levtype":"pv"},{"class":"od","stream":"oper","type":"an","levtype":"pv"},{"class":"od","stream":"oper","type":"fc","levtype":"pv"}]},{"id":4,"shortname":"eqpt","longname":"Equivalent potential temperature","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":5,"shortname":"sept","longname":"Saturated equivalent potential temperature","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":6,"shortname":"ssfr","longname":"Soil sand fraction","units":"(0 - 1)","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":7,"shortname":"scfr","longname":"Soil clay fraction","units":"(0 - 1)","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":8,"shortname":"sro","longname":"Surface runoff","units":"m","description":"Some water from rainfall, melting snow, or deep in the soil, stays stored in the soil. Otherwise, the water drains away, either over the surface (surface runoff), or under the ground (sub-surface runoff) and the sum of these two is simply called 'runoff'. This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted.The units of runoff are depth in metres. This is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point rather than averaged over a grid square area. Observations are also often taken in different units, such as mm/day, rather than the accumulated metres produced here.

Runoff is a measure of the availability of water in the soil, and can, for example, be used as an indicator of drought or flood. More information about how runoff is calculated is given in the IFS Physical Processes documentation.\r\n\r\n[NOTE: See 231010 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":9,"shortname":"ssro","longname":"Sub-surface runoff","units":"m","description":"Some water from rainfall, melting snow, or deep in the soil, stays stored in the soil. Otherwise, the water drains away, either over the surface (surface runoff), or under the ground (sub-surface runoff) and the sum of these two is simply called 'runoff'. This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted.The units of runoff are depth in metres. This is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point rather than averaged over a grid square area. Observations are also often taken in different units, such as mm/day, rather than the accumulated metres produced here.

Runoff is a measure of the availability of water in the soil, and can, for example, be used as an indicator of drought or flood. More information about how runoff is calculated is given in the IFS Physical Processes documentation.\r\n\r\n[NOTE: See 231012 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":10,"shortname":"ws","longname":"Wind speed","units":"m s**-1","description":"

The speed of horizontal air movement in metres per second.

The eastward and northward components of the horizontal wind are also available as parameters.

","access_ids":["dissemination"],"origin_ids":[-90,-20,0,34,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"em","levtype":"pl"},{"class":"ai","stream":"enfo","type":"es","levtype":"pl"},{"class":"od","stream":"eefo","type":"em","levtype":"pl"},{"class":"od","stream":"eefo","type":"es","levtype":"pl"},{"class":"od","stream":"enfo","type":"em","levtype":"pl"},{"class":"od","stream":"enfo","type":"es","levtype":"pl"}]},{"id":11,"shortname":"udvw","longname":"U component of divergent wind","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":12,"shortname":"vdvw","longname":"V component of divergent wind","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":13,"shortname":"urtw","longname":"U component of rotational wind","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":14,"shortname":"vrtw","longname":"V component of rotational wind","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":15,"shortname":"aluvp","longname":"UV visible albedo for direct radiation (climatological)","units":"(0 - 1)","description":"Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the fraction of direct solar (shortwave) radiation with wavelengths shorter than 0.7 µm (microns, 1 millionth of a metre) reflected by the Earth's surface (for snow-free land surfaces only). It is one of four components (parameters 15-18) that were used by the ECMWF Integrated Forecasting System (IFS) to represent albedo up to and including Cycle 46R1. Later cycles use instead six components (parameters 210186-210191). See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).

In the IFS, a climatological (observed values averaged over a period of several years) background albedo is used which varies from month to month through the year, modified by the model over water, ice and snow.","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"}]},{"id":16,"shortname":"aluvd","longname":"UV visible albedo for diffuse radiation (climatological)","units":"(0 - 1)","description":"Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the fraction of diffuse solar (shortwave) radiation with wavelengths shorter than 0.7 µm (microns, 1 millionth of a metre) reflected by the Earth's surface (for snow-free land surfaces only). It is one of four components (parameters 15-18) that were used by the ECMWF Integrated Forecasting System (IFS) to represent albedo up to and including Cycle 46R1. Later cycles use instead six components (parameters 210186-210191). See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).

In the IFS, a climatological (observed values averaged over a period of several years) background albedo is used which varies from month to month through the year, modified by the model over water, ice and snow.","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"}]},{"id":17,"shortname":"alnip","longname":"Near IR albedo for direct radiation (climatological)","units":"(0 - 1)","description":"Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the fraction of direct solar (shortwave) radiation with wavelengths longer than 0.7 (microns, 1 millionth of a metre) reflected by the Earth's surface (for snow-free land surfaces only). It is one of four components (parameters 15-18) that were used by the ECMWF Integrated Forecasting System (IFS) to represent albedo up to and including Cycle 46R1. Later cycles use instead six components (parameters 210186-210191). See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).

In the IFS, a climatological (observed values averaged over a period of several years) background albedo is used which varies from month to month through the year, modified by the model over water, ice and snow.","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"}]},{"id":18,"shortname":"alnid","longname":"Near IR albedo for diffuse radiation (climatological)","units":"(0 - 1)","description":"Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the fraction of diffuse solar (shortwave) radiation with wavelengths longer than 0.7 µm (microns, 1 millionth of a metre) reflected by the Earth's surface (for snow-free land surfaces only). It is one of four components (parameters 15-18) that were used by the ECMWF Integrated Forecasting System (IFS) to represent albedo up to and including Cycle 46R1. Later cycles use instead six components (parameters 210186-210191). See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).

In the IFS, a climatological (observed values averaged over a period of several years) background albedo is used which varies from month to month through the year, modified by the model over water, ice and snow.","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"}]},{"id":19,"shortname":"uvcs","longname":"Clear sky surface UV","units":"J m**-2","description":"0.20-0.44 um accumulated field","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":20,"shortname":"parcs","longname":"Surface photosynthetically active radiation, clear sky","units":"J m**-2","description":"0.44-0.70 um accumulated field","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":21,"shortname":"uctp","longname":"Unbalanced component of temperature","units":"K","description":"Residual resulting from subtracting from temperature an approximate 'balanced' value derived from relevant variable(s)","access_ids":[],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"}]},{"id":22,"shortname":"ucln","longname":"Unbalanced component of logarithm of surface pressure","units":"~","description":"Residual resulting from subtracting from logarithm of surface pressure an approximate 'balanced' value derived from relevant variable(s).\n
Note that this parameter is dimensionless","access_ids":[],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"}]},{"id":23,"shortname":"ucdv","longname":"Unbalanced component of divergence","units":"s**-1","description":"Residual resulting from subtracting from divergence an approximate 'balanced' value derived from relevant variable(s)","access_ids":[],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"}]},{"id":24,"shortname":"~","longname":"Reserved for future unbalanced components","units":"~","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":25,"shortname":"~","longname":"Reserved for future unbalanced components","units":"~","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":26,"shortname":"cl","longname":"Lake cover","units":"(0 - 1)","description":"

This parameter is the proportion of a grid box covered by inland water bodies (lakes, reservoirs, rivers) and coastal waters. Values vary between 0: no inland or coastal water body, and 1: grid box is fully covered with inland or coastal water body. This field is specified from observations and is constant in time.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":27,"shortname":"cvl","longname":"Low vegetation cover","units":"(0 - 1)","description":"This parameter is the fraction of the grid box (0-1) that is covered with vegetation that is classified as 'low'.

This is one of the parameters in the model that describes land surface vegetation. 'Low vegetation' consists of crops and mixed farming, irrigated crops, short grass, tall grass, tundra, semidesert, bogs and marshes, evergreen shrubs, deciduous shrubs, and water and land mixtures.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":28,"shortname":"cvh","longname":"High vegetation cover","units":"(0 - 1)","description":"This parameter is the fraction of the grid box (0-1) that is covered with vegetation that is classified as 'high'.

This is one of the parameters in the model that describes land surface vegetation. 'High vegetation' consists of evergreen trees, deciduous trees, mixed forest/woodland, and interrupted forest.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":29,"shortname":"tvl","longname":"Type of low vegetation","units":"(Code table 4.234)","description":"This parameter indicates the 10 types of low vegetation recognised by the ECMWF Integrated Forecasting System:

1 = Crops, Mixed farming

2 = Grass

7 = Tall grass

9 = Tundra

10 = Irrigated crops

11 = Semidesert

13 = Bogs and marshes

16 = Evergreen shrubs

17 = Deciduous shrubs

20 = Water and land mixtures

They are used to calculate the surface energy balance and the snow albedo.

The other types (3, 4, 5, 6, 18, 19 and 19) are high vegetation, or indicate no land surface vegetation (8 = Desert, 12=Ice caps and Glaciers, 14 = Inland water, 15 =Ocean).","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":30,"shortname":"tvh","longname":"Type of high vegetation","units":"(Code table 4.234)","description":"This parameter indicates the 6 types of high vegetation recognised by the ECMWF Integrated Forecasting System:

3 = Evergreen needleleaf trees

4 = Deciduous needleleaf trees

5 = Deciduous broadleaf trees

6 = Evergreen broadleaf trees

18 = Mixed forest/woodland

19 = Interrupted forest

They are used to calculate the surface energy balance and the snow albedo.

The other types (1, 2, 7, 9, 10, 11, 13, 16, 17 and 20) are low vegetation, or indicate no land surface vegetation (8 = Desert, 12=Ice caps and Glaciers, 14 = Inland water, 15 =Ocean).","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":31,"shortname":"ci","longname":"Sea ice area fraction","units":"(0 - 1)","description":"This parameter is the fraction of a grid box which is covered by sea ice. Sea ice can only occur in a grid box which includes ocean or inland water according to the land sea mask and lake cover, at the resolution being used. This parameter can be known as sea-ice (area) fraction, sea-ice concentration and more generally as sea-ice cover.

Coupled atmosphere ocean simulations of the ECMWF Integrated Forecasting System (IFS) predict the formation and melting of sea ice. Otherwise, in analyses and atmosphere only simulations, sea ice is derived from observations, but the model does take account of the way that sea ice alters the interaction between the atmosphere and ocean.

Sea ice is frozen sea water which floats on the surface of the ocean. Sea ice does not include ice which forms on land such as glaciers, icebergs and ice-sheets. It also excludes ice shelves which are anchored on land, but protrude out over the surface of the ocean. These phenomena are not modelled by the IFS.

Long-term monitoring of sea ice is important for understanding climate change. Sea ice also affects shipping routes through the polar regions.","access_ids":["dissemination"],"origin_ids":[-40,-20,0,34,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":32,"shortname":"asn","longname":"Snow albedo","units":"(0 - 1)","description":"This parameter is a measure of the reflectivity of the snow-covered part of the grid box. It is the fraction of solar (shortwave) radiation reflected by snow across the solar spectrum.

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level.

This parameter changes with snow age and also depends on vegetation height. For low vegetation, it ranges between 0.52 for old snow and 0.88 for fresh snow. For high vegetation with snow underneath, it depends on vegetation type and has values between 0.27 and 0.38. See further information.\n
[NOTE: See 228032 for the equivalent parameter in \"%\"]","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":33,"shortname":"rsn","longname":"Snow density","units":"kg m**-3","description":"This parameter is the mass of snow per cubic metre in the snow layer.

The ECMWF Integrated Forecast System (IFS) model represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box.

See further information on snow in the IFS.","access_ids":["dissemination"],"origin_ids":[-40,-20,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sol"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sol"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sol"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sol"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sol"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sol"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sol"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sol"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sol"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sol"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sol"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sol"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sol"}]},{"id":34,"shortname":"sst","longname":"Sea surface temperature","units":"K","description":"This parameter is the temperature of sea water near the surface.

This parameter is taken from various providers, who process the observational data in different ways. Each provider uses data from several different observational sources. For example, satellites measure sea surface temperature (SST) in a layer a few microns thick in the uppermost mm of the ocean, drifting buoys measure SST at a depth of about 0.2-1.5m, whereas ships sample sea water down to about 10m, while the vessel is underway. Deeper measurements are not affected by changes that occur during a day, due to the rising and setting of the Sun (diurnal variations).

Sometimes this parameter is taken from a forecast made by coupling the NEMO ocean model to the ECMWF Integrated Forecasting System. In this case, the SST is the average temperature of the uppermost metre of the ocean and does exhibit diurnal variations.

See further documentation .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[-40,-20,0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":35,"shortname":"istl1","longname":"Ice temperature layer 1","units":"K","description":"This parameter is the sea-ice temperature in layer 1 (0 to 7cm).

The ECMWF Integrated Forecasting System (IFS) has a four-layer sea-ice slab:
Layer 1: 0-7cm
Layer 2: 7-28cm
Layer 3: 28-100cm
Layer 4: 100-150cm

The temperature of the sea-ice in each layer changes as heat is transferred between the sea-ice layers and the atmosphere above and ocean below. See further documentation.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":36,"shortname":"istl2","longname":"Ice temperature layer 2","units":"K","description":"This parameter is the sea-ice temperature in layer 2 (7 to 28 cm).

The ECMWF Integrated Forecasting System (IFS) has a four-layer sea-ice slab:
Layer 1: 0-7cm
Layer 2: 7-28cm
Layer 3: 28-100cm
Layer 4: 100-150cm

The temperature of the sea-ice in each layer changes as heat is transferred between the sea-ice layers and the atmosphere above and ocean below. See further documentation.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":37,"shortname":"istl3","longname":"Ice temperature layer 3","units":"K","description":"This parameter is the sea-ice temperature in layer 3 (28 to 100 cm).

The ECMWF Integrated Forecasting System (IFS) has a four-layer sea-ice slab:
Layer 1: 0-7cm
Layer 2: 7-28cm
Layer 3: 28-100cm
Layer 4: 100-150cm

The temperature of the sea-ice in each layer changes as heat is transferred between the sea-ice layers and the atmosphere above and ocean below. See further documentation.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":38,"shortname":"istl4","longname":"Ice temperature layer 4","units":"K","description":"This parameter is the sea-ice temperature in layer 4 (100 to 150 cm).

The ECMWF Integrated Forecasting System (IFS) has a four-layer sea-ice slab:
Layer 1: 0-7cm
Layer 2: 7-28cm
Layer 3: 28-100cm
Layer 4: 100-150cm

The temperature of the sea-ice in each layer changes as heat is transferred between the sea-ice layers and the atmosphere above and ocean below. See further documentation.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":39,"shortname":"swvl1","longname":"Volumetric soil water layer 1","units":"m**3 m**-3","description":"This parameter is the volume of water in soil layer 1 (0 - 7cm, the surface is at 0cm).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:
Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":40,"shortname":"swvl2","longname":"Volumetric soil water layer 2","units":"m**3 m**-3","description":"This parameter is the volume of water in soil layer 2 (7 - 28cm, the surface is at 0cm).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:
Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":41,"shortname":"swvl3","longname":"Volumetric soil water layer 3","units":"m**3 m**-3","description":"This parameter is the volume of water in soil layer 3 (28 - 100cm, the surface is at 0cm).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:
Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":42,"shortname":"swvl4","longname":"Volumetric soil water layer 4","units":"m**3 m**-3","description":"This parameter is the volume of water in soil layer 4 (100 - 289cm, the surface is at 0cm).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:
Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":43,"shortname":"slt","longname":"Soil type","units":"(Code table 4.213)","description":"

This parameter is the texture (or classification) of soil used by the land surface scheme of the ECMWF Integrated Forecast System to predict the water holding capacity of soil in soil moisture and runoff calculations. It is derived from the root zone data (30-100 cm below the surface) of the FAO/UNESCO Digital Soil Map of the World, DSMW (FAO, 2003), which exists at a resolution of 5' X 5' (about 10 km).

The seven soil types are:

Coarse1
Medium2
Medium fine3
Fine4
Very fine5
Organic6
Tropical organic7
","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":44,"shortname":"es","longname":"Snow evaporation","units":"m of water equivalent","description":"This parameter is the accumulated amount of water that has evaporated from snow from the snow-covered area of a grid box into vapour in the air above.

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box. This parameter is the depth of water there would be if the evaporated snow (from the snow-covered area of a grid box ) were liquid and were spread evenly over the whole grid box.

This parameter is accumulated over a  particular time period which depends on the data extracted.

The ECMWF Integrated Forecasting System convention is that downward fluxes are positive. Therefore, negative values indicate evaporation and positive values indicate deposition.\n
[NOTE: See 231003 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":45,"shortname":"smlt","longname":"Snowmelt","units":"m of water equivalent","description":"This parameter is the accumulated amount of water that has melted from snow in the snow-covered area of a grid box.

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box. This parameter is the depth of water there would be if the melted snow (from the snow-covered area of a grid box ) were spread evenly over the whole grid box. For example, if half the grid box were covered in snow with a water equivalent depth of 0.02m, this parameter would have a value of 0.01m.

This parameter is accumulated over a  particular time period which depends on the data extracted.\n[NOTE: See 3099 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":46,"shortname":"sdur","longname":"Solar duration","units":"s","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":47,"shortname":"dsrp","longname":"Surface direct normal short-wave (solar) radiation","units":"J m**-2","description":"

This parameter is the amount of direct radiation from the Sun (also known as solar or shortwave radiation) reaching the surface on a plane perpendicular to the direction of the Sun. 

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation). See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":48,"shortname":"magss","longname":"Time-integrated magnitude of turbulent surface stress","units":"N m**-2 s","description":"

Accumulated field

","access_ids":[],"origin_ids":[0,98],"table":128,"mars_request_context":[]},{"id":49,"shortname":"10fg","longname":"Maximum 10 metre wind gust since previous post-processing","units":"m s**-1","description":"Maximum 3 second wind at 10 m height as defined by WMO.

\r\nParametrization represents turbulence only before 01102008; thereafter effects of convection are included. The 3 s gust is computed every time step and and the maximum is kept since the last postprocessing.","access_ids":["dissemination"],"origin_ids":[-20,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":50,"shortname":"lspf","longname":"Large-scale precipitation fraction","units":"s","description":"This parameter is the accumulation of the fraction of the grid box (0-1) that was covered by large-scale precipitation.

This parameter is accumulated over a particular time period which depends on the data extracted. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":51,"shortname":"mx2t24","longname":"Maximum temperature at 2 metres in the last 24 hours","units":"K","description":"The highest value of 2 metre temperature in the previous 24 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[-70,98],"table":128,"mars_request_context":[{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":52,"shortname":"mn2t24","longname":"Minimum temperature at 2 metres in the last 24 hours","units":"K","description":"The lowest value of 2 metre temperature in the previous 24 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[-70,98],"table":128,"mars_request_context":[{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":53,"shortname":"mont","longname":"Montgomery potential","units":"m**2 s**-2","description":"Takes the role of geopotential in an isentropic vertical coordinate","access_ids":[],"origin_ids":[0,34,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"pt"},{"class":"od","stream":"elda","type":"an","levtype":"pt"},{"class":"od","stream":"lwda","type":"4v","levtype":"pt"},{"class":"od","stream":"lwda","type":"an","levtype":"pt"},{"class":"od","stream":"oper","type":"4v","levtype":"pt"},{"class":"od","stream":"oper","type":"an","levtype":"pt"}]},{"id":54,"shortname":"pres","longname":"Pressure","units":"Pa","description":null,"access_ids":["dissemination"],"origin_ids":[-20,0,34,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"pt"},{"class":"od","stream":"eefh","type":"cf","levtype":"pv"},{"class":"od","stream":"eefh","type":"pf","levtype":"pt"},{"class":"od","stream":"eefh","type":"pf","levtype":"pv"},{"class":"od","stream":"eefo","type":"cf","levtype":"pt"},{"class":"od","stream":"eefo","type":"cf","levtype":"pv"},{"class":"od","stream":"eefo","type":"pf","levtype":"pt"},{"class":"od","stream":"eefo","type":"pf","levtype":"pv"},{"class":"od","stream":"elda","type":"4v","levtype":"pt"},{"class":"od","stream":"elda","type":"4v","levtype":"pv"},{"class":"od","stream":"elda","type":"an","levtype":"pt"},{"class":"od","stream":"elda","type":"an","levtype":"pv"},{"class":"od","stream":"elda","type":"fc","levtype":"pt"},{"class":"od","stream":"elda","type":"fc","levtype":"pv"},{"class":"od","stream":"enfh","type":"cf","levtype":"pt"},{"class":"od","stream":"enfh","type":"cf","levtype":"pv"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pv"},{"class":"od","stream":"enfh","type":"pf","levtype":"pt"},{"class":"od","stream":"enfh","type":"pf","levtype":"pv"},{"class":"od","stream":"enfo","type":"pf","levtype":"pt"},{"class":"od","stream":"enfo","type":"pf","levtype":"pv"},{"class":"od","stream":"lwda","type":"4v","levtype":"pt"},{"class":"od","stream":"lwda","type":"4v","levtype":"pv"},{"class":"od","stream":"lwda","type":"an","levtype":"pt"},{"class":"od","stream":"lwda","type":"an","levtype":"pv"},{"class":"od","stream":"lwda","type":"fc","levtype":"pt"},{"class":"od","stream":"lwda","type":"fc","levtype":"pv"},{"class":"od","stream":"oper","type":"4v","levtype":"pt"},{"class":"od","stream":"oper","type":"4v","levtype":"pv"},{"class":"od","stream":"oper","type":"an","levtype":"pt"},{"class":"od","stream":"oper","type":"an","levtype":"pv"},{"class":"od","stream":"oper","type":"fc","levtype":"pt"},{"class":"od","stream":"oper","type":"fc","levtype":"pv"}]},{"id":55,"shortname":"mean2t24","longname":"Mean temperature at 2 metres in the last 24 hours","units":"K","description":"

The mean value of 2 metre temperature in the previous 24 hour period. The mean is calculated from the temperature at each model time step.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15

Please use 228004 for the GRIB2 encoding of this parameter.

","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"}]},{"id":56,"shortname":"mn2d24","longname":"Mean 2 metre dewpoint temperature in the last 24 hours","units":"K","description":"

6-hourly intervals

Please use 235168 for the GRIB2 encoding of this parameter.

","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":57,"shortname":"uvb","longname":"Surface downward UV radiation","units":"J m**-2","description":"

This parameter is the amount of ultraviolet (UV) radiation reaching the surface. It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

UV radiation is part of the electromagnetic spectrum emitted by the Sun that has wavelengths shorter than visible light. In the ECMWF Integrated Forecasting system it is defined as radiation with a wavelength of 0.20-0.44 µm (microns, 1 millionth of a metre). 

Small amounts of UV are essential for living organisms, but overexposure may result in cell damage; in humans this includes acute and chronic health effects on the skin, eyes and immune system. UV radiation is absorbed by the ozone layer, but some reaches the surface. The depletion of the ozone layer is causing concern over an increase in the damaging effects of UV. 

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":58,"shortname":"par","longname":"Photosynthetically active radiation at the surface","units":"J m**-2","description":"0.40-0.70 um. Accumulated field.
\nBefore Cycle 43R1, a coding error meant that PAR was computed from the wrong spectral bands and hence was underestimated by around 30%.
It should therefore only be used from Cycles 43R1 and later.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":59,"shortname":"cape","longname":"Convective available potential energy","units":"J kg**-1","description":"This is an indication of the instability (or stability) of the atmosphere and can be used to assess the potential for the development of convection, which can lead to heavy rainfall, thunderstorms and other severe weather.

In the ECMWF Integrated Forecasting System (IFS), CAPE is calculated by considering parcels of air departing at different model levels below the 350 hPa level. If a parcel of air is more buoyant (warmer and/or with more moisture) than its surrounding environment, it will continue to rise (cooling as it rises) until it reaches a point where it no longer has positive buoyancy. CAPE is the potential energy represented by the total excess buoyancy. The maximum CAPE produced by the different parcels is the value retained.

Large positive values of CAPE indicate that an air parcel would be much warmer than its surrounding environment and therefore, very buoyant. CAPE is related to the maximum potential vertical velocity of air within an updraft; thus, higher values indicate greater potential for severe weather. Observed values in thunderstorm environments often may exceed 1000 joules per kilogram (J kg-1), and in extreme cases may exceed 5000 J kg-1.

The calculation of this parameter assumes: (i) the parcel of air does not mix with surrounding air; (ii) ascent is pseudo-adiabatic (all condensed water falls out) and (iii) other simplifications related to the mixed-phase condensational heating.","access_ids":[],"origin_ids":[-40,0,7,98],"table":128,"mars_request_context":[{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"}]},{"id":60,"shortname":"pv","longname":"Potential vorticity","units":"K m**2 kg**-1 s**-1","description":"Potential vorticity is a measure of the capacity for air to rotate in the atmosphere. If we ignore the effects of heating and friction, potential vorticity is conserved following an air parcel. It is used to look for places where large wind storms are likely to originate and develop. Potential vorticity increases strongly above the tropopause and therefore, it can also be used in studies related to the stratosphere and stratosphere-troposphere exchanges.

Large wind storms develop when a column of air in the atmosphere starts to rotate. Potential vorticity is calculated from the wind, temperature and pressure across a column of air in the atmosphere. ","access_ids":["dissemination"],"origin_ids":[-20,0,34,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"pl"},{"class":"mc","stream":"oper","type":"fc","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"pt"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"pt"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"pt"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"pt"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"pt"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"pt"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"4v","levtype":"pt"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"pt"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"elda","type":"fc","levtype":"pt"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"cf","levtype":"pt"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pt"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfh","type":"pf","levtype":"pt"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"pt"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"4v","levtype":"pt"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","levtype":"pt"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"pt"},{"class":"od","stream":"mmsf","type":"fc","levtype":"pt"},{"class":"od","stream":"msmm","type":"em","levtype":"pt"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"pt"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"pt"},{"class":"od","stream":"oper","type":"4v","levtype":"pl"},{"class":"od","stream":"oper","type":"4v","levtype":"pt"},{"class":"od","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"oper","type":"an","levtype":"pt"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"pt"}]},{"id":62,"shortname":"obct","longname":"Observation count","units":"~","description":"Count of observations used in calculating value at a gridpoint","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":63,"shortname":"stsktd","longname":"Start time for skin temperature difference","units":"s","description":"Seconds from reference time","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":64,"shortname":"ftsktd","longname":"Finish time for skin temperature difference","units":"s","description":"Seconds from reference time","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":65,"shortname":"sktd","longname":"Skin temperature difference","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":66,"shortname":"lai_lv","longname":"Leaf area index, low vegetation","units":"m**2 m**-2","description":"This parameter is the surface area of one side of all the leaves found over an area of land for vegetation classified as 'low'. This parameter has a value of 0 over bare ground or where there are no leaves. It can be calculated daily from satellite data. It is important for forecasting, for example, how much rainwater will be intercepted by the vegetative canopy, rather than falling to the ground.

This is one of the parameters in the model that describes land surface vegetation. 'Low vegetation' consists of crops and mixed farming, irrigated crops, short grass, tall grass, tundra, semidesert, bogs and marshes, evergreen shrubs, deciduous shrubs, and water and land mixtures.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":67,"shortname":"lai_hv","longname":"Leaf area index, high vegetation","units":"m**2 m**-2","description":"This parameter is the surface area of one side of all the leaves found over an area of land for vegetation classified as 'high'. This parameter has a value of 0 over bare ground or where there are no leaves. It can be calculated daily from satellite data. It is important for forecasting, for example, how much rainwater will be intercepted by the vegetative canopy, rather than falling to the ground.

This is one of the parameters in the model that describes land surface vegetation. 'High vegetation' consists of evergreen trees, deciduous trees, mixed forest/woodland, and interrupted forest.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":68,"shortname":"msr_lv","longname":"Minimum stomatal resistance, low vegetation","units":"s m**-1","description":"","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":69,"shortname":"msr_hv","longname":"Minimum stomatal resistance, high vegetation","units":"s m**-1","description":"","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":70,"shortname":"bc_lv","longname":"Biome cover, low vegetation","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":71,"shortname":"bc_hv","longname":"Biome cover, high vegetation","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":72,"shortname":"issrd","longname":"Instantaneous surface solar radiation downwards","units":"W m**-2","description":"

This parameter is only available in GRIB1.

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This parameter is only available in GRIB1.

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Large-scale clouds are generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. See further information.

The quantity is expressed in kilograms per kilogram of the total mass of moist air. The 'total mass of moist air' is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow. This parameter represents the average value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The IFS cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, phase transition and aggregation are also highly simplified in the IFS.","access_ids":["dissemination"],"origin_ids":[-80,-20,0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"}]},{"id":76,"shortname":"cswc","longname":"Specific snow water content","units":"kg kg**-1","description":"The mass of snow (aggregated ice crystals) produced from large-scale clouds that can fall to the surface as precipitation.

Large-scale clouds are generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. See further information.

The mass is expressed in kilograms per kilogram of the total mass of moist air. The 'total mass of moist air' is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow. This parameter represents the average value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The IFS cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, phase transition and aggregation are also highly simplified in the IFS.","access_ids":["dissemination"],"origin_ids":[-80,-20,0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"}]},{"id":77,"shortname":"etadot","longname":"Eta-coordinate vertical velocity","units":"s**-1","description":"This parameter is the rate of air motion in the upward or downward direction. The ECMWF Integrated Forecasting System (IFS) uses a pressure and terrain-based vertical coordinate system called eta-coordinate. Since pressure in the atmosphere decreases with height, negative values of eta-coordinate vertical velocity indicate upward motion.

This parameter is used in the IFS to calculate the vertical transport, or advection, of atmospheric quantities such as moisture.","access_ids":["dissemination"],"origin_ids":[-80,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"}]},{"id":78,"shortname":"tclw","longname":"Total column cloud liquid water","units":"kg m**-2","description":"This parameter is the amount of liquid water contained within cloud droplets in a column extending from the surface of the Earth to the top of the atmosphere. Rain water droplets, which are much larger in size (and mass), are not included in this parameter.

This parameter represents the area averaged value for a model grid box.

Clouds contain a continuum of different- sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, phase transition and aggregation are also highly simplified in the IFS.","access_ids":["dissemination"],"origin_ids":[-20,0,34,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":79,"shortname":"tciw","longname":"Total column cloud ice water","units":"kg m**-2","description":"This parameter is the amount of ice contained within clouds in a column extending from the surface of the Earth to the top of the atmosphere. Snow (aggregated ice crystals) is not included in this parameter.

This parameter represents the area averaged value for a model grid box.

Clouds contain a continuum of different- sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, phase transition and aggregation are also highly simplified in the 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2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[-40,-30,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"em","levtype":"sfc"},{"class":"od","stream":"eefo","type":"es","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"em","levtype":"sfc"},{"class":"od","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":122,"shortname":"mn2t6","longname":"Minimum temperature at 2 metres in the last 6 hours","units":"K","description":"The lowest value of 2 metre temperature in the previous 6 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[-40,-30,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"em","levtype":"sfc"},{"class":"od","stream":"eefo","type":"es","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"em","levtype":"sfc"},{"class":"od","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":123,"shortname":"10fg6","longname":"Maximum 10 metre wind gust in the last 6 hours","units":"m s**-1","description":"This parameter is the maximum wind gust in the last 6 hours at a height of ten metres above the surface of the Earth.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during the last 6 hours.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":124,"shortname":"emis","longname":"Surface emissivity","units":"Proportion","description":null,"access_ids":[],"origin_ids":[0,98],"table":128,"mars_request_context":[]},{"id":125,"shortname":"vite","longname":"Vertically integrated total energy","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":126,"shortname":"~","longname":"Generic parameter for sensitive area prediction","units":"Various","description":"Originating centre dependent","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":127,"shortname":"at","longname":"Atmospheric tide","units":"~","description":"Not GRIB data (pseudo-GRIB)","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":128,"shortname":"bv","longname":"Budget values","units":"~","description":"Not GRIB data (pseudo-GRIB)","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":129,"shortname":"z","longname":"Geopotential","units":"m**2 s**-2","description":"

This parameter is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. It is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

The geopotential height can be calculated by dividing the geopotential by the Earth's gravitational acceleration, g (=9.80665 m s-2). The geopotential height plays an important role in synoptic meteorology (analysis of weather patterns). Charts of geopotential height plotted at constant pressure levels (e.g., 300, 500 or 850 hPa) can be used to identify weather systems such as cyclones, anticyclones, troughs and ridges.

At the surface of the Earth, this parameter shows the variations in geopotential (height) of the surface, and is often referred to as the orography.

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This parameter is the temperature in the atmosphere.

It has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

This parameter is available on multiple levels through the atmosphere.

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This parameter is the eastward component of the wind. It is the horizontal speed of air moving towards the east, in metres per second. A negative sign thus indicates air movement towards the west.

This parameter can be combined with the V component of wind to give the speed and direction of the horizontal wind.

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This parameter is the northward component of the wind. It is the horizontal speed of air moving towards the north, in metres per second. A negative sign thus indicates air movement towards the south.

This parameter can be combined with the U component of wind to give the speed and direction of the horizontal wind.

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This parameter is the mass of water vapour per kilogram of moist air.

The total mass of moist air is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow.

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It is a measure of the weight of all the air in a column vertically above the area of the Earth's surface represented at a fixed point.

Surface pressure is often used in combination with temperature to calculate air density.

The strong variation of pressure with altitude makes it difficult to see the low and high pressure systems over mountainous areas, so mean sea level pressure, rather than surface pressure, is normally used for this purpose.

The units of this parameter are Pascals (Pa). Surface pressure is often measured in hPa and sometimes is presented in the old units of millibars, mb (1 hPa = 1 mb= 100 Pa).","access_ids":["dissemination"],"origin_ids":[-20,0,34,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":135,"shortname":"w","longname":"Vertical velocity","units":"Pa s**-1","description":"This parameter is the speed of air motion in the upward or downward direction. The ECMWF Integrated Forecasting System (IFS) uses a pressure based vertical co-ordinate system and pressure decreases with height, therefore negative values of vertical velocity indicate upward motion.

Vertical velocity can be useful to understand the large-scale dynamics of the atmosphere, including areas of upward motion/ascent (negative values) and downward motion/subsidence (positive values).","access_ids":["dissemination"],"origin_ids":[-80,0,34,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"pl"},{"class":"ai","stream":"enfo","type":"pf","levtype":"pl"},{"class":"ai","stream":"oper","type":"fc","levtype":"pl"},{"class":"mc","stream":"oper","type":"an","levtype":"ml"},{"class":"mc","stream":"oper","type":"an","levtype":"pl"},{"class":"mc","stream":"oper","type":"fc","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"pl"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"}]},{"id":136,"shortname":"tcw","longname":"Total column water","units":"kg m**-2","description":"This parameter is the sum of water vapour, liquid water, cloud ice, rain and snow in a column extending from the surface of the Earth to the top of the atmosphere. In old versions of the ECMWF model (IFS), rain and snow were not accounted for.","access_ids":["dissemination"],"origin_ids":[-40,0,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":137,"shortname":"tcwv","longname":"Total column vertically-integrated water vapour","units":"kg m**-2","description":"This parameter is the total amount of water vapour in a column extending from the surface of the Earth to the top of the atmosphere.

This parameter represents the area averaged value for a grid box.","access_ids":["dissemination"],"origin_ids":[0,34,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":138,"shortname":"vo","longname":"Vorticity (relative)","units":"s**-1","description":"This parameter is a measure of the rotation of air in the horizontal, around a vertical axis, relative to a fixed point on the surface of the Earth.

On the scale of weather systems, troughs (weather features that can include rain) are associated with anticlockwise rotation (in the northern hemisphere), and ridges (weather features that bring light or still winds) are associated with clockwise rotation.

Adding the rotation of the Earth, the so-called Coriolis parameter, to the relative vorticity produces the absolute vorticity.","access_ids":["dissemination"],"origin_ids":[-80,0,34,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"pt"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"pt"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"pt"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"pt"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"4v","levtype":"pt"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"pt"},{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"elda","type":"fc","levtype":"pt"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"cf","levtype":"pt"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"enfh","type":"icp","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfh","type":"pf","levtype":"pt"},{"class":"od","stream":"enfo","type":"icp","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"pt"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"4v","levtype":"pt"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","levtype":"pt"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"pt"},{"class":"od","stream":"mmsf","type":"fc","levtype":"ml"},{"class":"od","stream":"mmsf","type":"fc","levtype":"pl"},{"class":"od","stream":"mmsf","type":"icp","levtype":"ml"},{"class":"od","stream":"msmm","type":"em","levtype":"pl"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"pl"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"pl"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"pl"},{"class":"od","stream":"oper","type":"4v","levtype":"pt"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"oper","type":"an","levtype":"pt"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"pt"}]},{"id":139,"shortname":"stl1","longname":"Soil temperature level 1","units":"K","description":"This parameter is the temperature of the soil at level 1 (in the middle of layer 1).

The ECMWF Integrated Forecasting System (IFS) has a four-layer representation of soil, where the surface is at 0cm:

Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of Kelvin (K). Temperature measured in Kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":140,"shortname":"swl1","longname":"Soil wetness level 1","units":"m of water equivalent","description":"Old field, layer 1-7 cm (new soil moisture is archived as field 39). Surface soil wetness (SSW) before 19930804","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"es","levtype":"sfc"}]},{"id":141,"shortname":"sd","longname":"Snow depth","units":"m of water equivalent","description":"This parameter is the depth of snow from the snow-covered area of a grid box.

Its units are metres of water equivalent, so it is the depth the water would have if the snow melted and was spread evenly over the whole grid box. The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box.

See further information.\r\n\r\n[NOTE: See 228141 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":142,"shortname":"lsp","longname":"Large-scale precipitation","units":"m","description":"This parameter is the accumulated liquid and frozen water, comprising rain and snow, that falls to the Earth's surface and which is generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of the grid box or larger. Precipitation can also be generated by the convection scheme in the IFS, which represents convection at spatial scales smaller than the grid box. See further information. This parameter does not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted. The units of this parameter are depth in metres of water equivalent. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.\n
[NOTE: See 3062 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":143,"shortname":"cp","longname":"Convective precipitation","units":"m","description":"This parameter is the accumulated liquid and frozen water, comprising rain and snow, that falls to the Earth's surface and which is generated by the convection scheme in the ECMWF Integrated Forecasting System (IFS). The convection scheme represents convection at spatial scales smaller than the grid box. Precipitation can also be generated by the cloud scheme in the IFS, which represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly at spatial scales of the grid box or larger. See further information. This parameter does not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted. The units of this parameter are depth in metres of water equivalent. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.\n
[NOTE: See 228143 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":144,"shortname":"sf","longname":"Snowfall","units":"m of water equivalent","description":"This parameter is the accumulated snow that falls to the Earth's surface. It is the sum of large-scale snowfall and convective snowfall. Large-scale snowfall is generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of the grid box or larger. Convective snowfall is generated by the convection scheme in the IFS, which represents convection at spatial scales smaller than the grid box. See further information.

This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted. The units of this parameter are depth in metres of water equivalent. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.\n
[NOTE: See 228144 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":145,"shortname":"bld","longname":"Time-integrated boundary layer dissipation","units":"J m**-2","description":"

This parameter is the amount of energy per unit area that is converted from kinetic energy, into heat, due to small-scale motion in the lower levels of the atmosphere. These small-scale motions are called eddies or turbulence. A higher value of this parameter means that more energy is being converted to heat, and so the mean flow is slowing more and the air temperature is rising by a greater amount. 

This parameter is accumulated over a particular time period which depends on the data extracted.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":146,"shortname":"sshf","longname":"Time-integrated surface sensible heat net flux","units":"J m**-2","description":"

This parameter is the transfer of heat between the Earth's surface and the atmosphere through the effects of turbulent air motion (but excluding any heat transfer resulting from condensation or evaporation).

The magnitude of the sensible heat flux is governed by the difference in temperature between the surface and the overlying atmosphere, wind speed and the surface roughness. For example, cold air overlying a warm surface would produce a sensible heat flux from the land (or ocean) into the atmosphere. See further documentation 

This is a single level parameter and it is accumulated over a particular time period which depends on the data extracted.The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":147,"shortname":"slhf","longname":"Time-integrated surface latent heat net flux","units":"J m**-2","description":"

This parameter is the transfer of latent heat (resulting from water phase changes, such as evaporation or condensation) between the Earth's surface and the atmosphere through the effects of turbulent air motion. Evaporation from the Earth's surface represents a transfer of energy from the surface to the atmosphere. See further documentation

This parameter is accumulated over a particular time period which depends on the data extracted.The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":148,"shortname":"chnk","longname":"Charnock","units":"Numeric","description":"This parameter accounts for increased aerodynamic roughness as wave heights grow due to increasing surface stress. It depends on the wind speed, wave age and other aspects of the sea state and is used to calculate how much the waves slow down the wind.

When the atmospheric model is run without the ocean model, this parameter has a constant value of 0.018. When the atmospheric model is coupled to the ocean model, this parameter is calculated by the ECMWF Wave Model.\r\n
","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":149,"shortname":"snr","longname":"Surface net radiation (SW and LW)","units":"J m**-2","description":"Accumulated field","access_ids":[],"origin_ids":[0,98],"table":128,"mars_request_context":[]},{"id":150,"shortname":"tnr","longname":"Top net radiation (SW and LW)","units":"J m**-2","description":"Accumulated field","access_ids":[],"origin_ids":[0,98],"table":128,"mars_request_context":[]},{"id":151,"shortname":"msl","longname":"Mean sea level pressure","units":"Pa","description":"This parameter is the pressure (force per unit area) of the atmosphere adjusted to the height of mean sea level.

It is a measure of the weight that all the air in a column vertically above the area of Earth's surface would have at that point, if the point were located at the mean sea level. It is calculated over all surfaces - land, sea and in-land water.

Maps of mean sea level pressure are used to identify the locations of low and high pressure systems, often referred to as cyclones and anticyclones. Contours of mean sea level pressure also indicate the strength of the wind. Tightly packed contours show stronger winds.

The units of this parameter are pascals (Pa). Mean sea level pressure is often measured in hPa and sometimes is presented in the old units of millibars, mb (1 hPa = 1 mb = 100 Pa).","access_ids":["dissemination"],"origin_ids":[-20,0,34,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"em","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"es","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"em","levtype":"sfc"},{"class":"od","stream":"eefo","type":"es","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"em","levtype":"sfc"},{"class":"od","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":152,"shortname":"lnsp","longname":"Logarithm of surface pressure","units":"Numeric","description":"This parameter is the natural logarithm of pressure (force per unit area) of the atmosphere on the surface of land, sea and inland water. Numerical weather prediction models often utilise the logarithm of surface pressure in their calculations.","access_ids":["dissemination"],"origin_ids":[-80,-60,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"icp","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"icp","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"mmsf","type":"fc","levtype":"ml"},{"class":"od","stream":"mmsf","type":"fc","levtype":"pl"},{"class":"od","stream":"mmsf","type":"icp","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"pl"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"}]},{"id":153,"shortname":"swhr","longname":"Short-wave heating rate","units":"K","description":"Accumulated field","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":154,"shortname":"lwhr","longname":"Long-wave heating rate","units":"K","description":"Accumulated field","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":155,"shortname":"d","longname":"Divergence","units":"s**-1","description":"This parameter is the horizontal divergence of velocity. It is the rate at which air is spreading out horizontally from a point, per square metre. This parameter is positive for air that is spreading out, or diverging, and negative for the opposite, for air that is concentrating, or converging (convergence).","access_ids":["dissemination"],"origin_ids":[-80,0,34,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"pt"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"pt"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"pt"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"pt"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"4v","levtype":"pt"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"pt"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"elda","type":"fc","levtype":"pt"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"cf","levtype":"pt"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"enfh","type":"icp","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfh","type":"pf","levtype":"pt"},{"class":"od","stream":"enfo","type":"icp","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"pt"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"4v","levtype":"pt"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","levtype":"pt"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"pt"},{"class":"od","stream":"mmsf","type":"fc","levtype":"ml"},{"class":"od","stream":"mmsf","type":"fc","levtype":"pl"},{"class":"od","stream":"mmsf","type":"icp","levtype":"ml"},{"class":"od","stream":"msmm","type":"em","levtype":"pl"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"pl"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"pl"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"pl"},{"class":"od","stream":"oper","type":"4v","levtype":"pt"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"oper","type":"an","levtype":"pt"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"pt"}]},{"id":156,"shortname":"gh","longname":"Geopotential height","units":"gpm","description":"This parameter is a measure of the height of a point in the atmosphere in relation to its potential energy. It is calculated by dividing the geopotential by the Earth's mean gravitational acceleration, g (=9.80665 m s-2). The geopotential is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. Geopotential is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

This parameter plays an important role in synoptic meteorology (analysis of weather patterns). Charts of geopotential height plotted at constant pressure levels (e.g., 300, 500 or 850 hPa) can be used to identify weather systems such as cyclones, anticyclones, troughs and ridges. At the surface of the Earth, this parameter shows the variations in geopotential height of the surface, and is often referred to as the orography.

The units of this parameter are geopotential metres. A geopotential metre is approximately 2% shorter than a geometric metre.","access_ids":["dissemination"],"origin_ids":[0,34,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"pl"},{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"em","levtype":"pl"},{"class":"ai","stream":"enfo","type":"es","levtype":"pl"},{"class":"ai","stream":"enfo","type":"pf","levtype":"pl"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"pl"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"ml"},{"class":"mc","stream":"oper","type":"an","levtype":"pl"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"pl"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"pv"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"pv"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"pv"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"em","levtype":"pl"},{"class":"od","stream":"eefo","type":"es","levtype":"pl"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"pv"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"},{"class":"od","stream":"eefo","type":"taes","levtype":"pl"},{"class":"od","stream":"eehs","type":"em","levtype":"pl"},{"class":"od","stream":"eehs","type":"es","levtype":"pl"},{"class":"od","stream":"eehs","type":"taem","levtype":"pl"},{"class":"od","stream":"eehs","type":"taes","levtype":"pl"},{"class":"od","stream":"efhs","type":"em","levtype":"pl"},{"class":"od","stream":"efhs","type":"es","levtype":"pl"},{"class":"od","stream":"efhs","type":"taem","levtype":"pl"},{"class":"od","stream":"efhs","type":"taes","levtype":"pl"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"4v","levtype":"pv"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"pv"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"elda","type":"fc","levtype":"pv"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"cf","levtype":"pv"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pl"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pv"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfh","type":"pf","levtype":"pv"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"cm","levtype":"pl"},{"class":"od","stream":"enfo","type":"cr","levtype":"pl"},{"class":"od","stream":"enfo","type":"em","levtype":"pl"},{"class":"od","stream":"enfo","type":"es","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"pv"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"4v","levtype":"pv"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","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humidity","units":"%","description":"This parameter is the water vapour pressure as a percentage of the value at which the air becomes saturated (the point at which water vapour begins to condense into liquid water or deposition into ice).

For temperatures over 0°C (273.15 K) it is calculated for saturation over water. At temperatures below -23°C it is calculated for saturation over ice. Between -23°C and 0°C this parameter is calculated by interpolating between the ice and water values using a quadratic function.

See more information about the model's relative humidity calculation.","access_ids":["dissemination"],"origin_ids":[-20,0,34,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"wp","levtype":"pl"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"oper","type":"4v","levtype":"pl"},{"class":"od","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"},{"class":"od","stream":"oper","type":"wp","levtype":"pl"}]},{"id":158,"shortname":"tsp","longname":"Tendency of surface pressure","units":"Pa s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":159,"shortname":"blh","longname":"Boundary layer height","units":"m","description":"This parameter is the depth of air next to the Earth's surface which is most affected by the resistance to the transfer of momentum, heat or moisture across the surface.

The boundary layer height can be as low as a few tens of metres, such as in cooling air at night, or as high as several kilometres over the desert in the middle of a hot sunny day. When the boundary layer height is low, higher concentrations of pollutants (emitted from the Earth's surface) can develop.

The boundary layer height calculation is based on the bulk Richardson number (a measure of the atmospheric conditions) following the conclusions of a 2012 review. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":160,"shortname":"sdor","longname":"Standard deviation of sub-gridscale orography","units":"m","description":"This parameter is one of four parameters (the others being angle of sub-gridscale orography, slope and anisotropy) that describe the features of the orography that are too small to be resolved by the model grid. These four parameters are calculated for orographic features with horizontal scales comprised between 5 km and the model grid resolution, being derived from the height of valleys, hills and mountains at about 1 km resolution. They are used as input for the sub-grid orography scheme which represents low-level blocking and orographic gravity wave effects.

This parameter represents the standard deviation of the height of the sub-grid valleys, hills and mountains within a grid box.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":161,"shortname":"isor","longname":"Anisotropy of sub-gridscale orography","units":"Numeric","description":"This parameter is one of four parameters (the others being standard deviation, slope and angle of sub-gridscale orography) that describe the features of the orography that are too small to be resolved by the model grid. These four parameters are calculated for orographic features with horizontal scales comprised between 5 km and the model grid resolution, being derived from the height of valleys, hills and mountains at about 1 km resolution. They are used as input for the sub-grid orography scheme which represents low-level blocking and orographic gravity wave effects.

This parameter is a measure of how much the shape of the terrain in the horizontal plane (from a bird's-eye view) is distorted from a circle.

A value of one is a circle, less than one an ellipse, and 0 is a ridge. In the case of a ridge, wind blowing parallel to it does not exert any drag on the flow, but wind blowing perpendicular to it exerts the maximum drag.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":162,"shortname":"anor","longname":"Angle of sub-gridscale orography","units":"radians","description":"This parameter is one of four parameters (the others being standard deviation, slope and anisotropy) that describe the features of the orography that are too small to be resolved by the model grid. These four parameters are calculated for orographic features with horizontal scales comprised between 5 km and the model grid resolution, being derived from the height of valleys, hills and mountains at about 1 km resolution. They are used as input for the sub-grid orography scheme which represents low-level blocking and orographic gravity wave effects.

The angle of the sub-grid scale orography characterises the geographical orientation of the terrain in the horizontal plane (from a bird's-eye view) relative to an eastwards axis.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":163,"shortname":"slor","longname":"Slope of sub-gridscale orography","units":"Numeric","description":"This parameter is one of four parameters (the others being standard deviation, angle and anisotropy) that describe the features of the orography that are too small to be resolved by the model grid. These four parameters are calculated for orographic features with horizontal scales comprised between 5 km and the model grid resolution, being derived from the height of valleys, hills and mountains at about 1 km resolution. They are used as input for the sub-grid orography scheme which represents low-level blocking and orographic gravity wave effects.

This parameter represents the slope of the sub-grid valleys, hills and mountains. A flat surface has a value of 0, and a 45 degree slope has a value of 0.5.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":164,"shortname":"tcc","longname":"Total cloud cover","units":"(0 - 1)","description":"This parameter is the proportion of a grid box covered by cloud. Total cloud cover is a single level field calculated from the cloud occurring at different model levels through the atmosphere. Assumptions are made about the degree of overlap/randomness between clouds at different heights.

Cloud fractions vary from 0 to 1.\n
[NOTE: See 228164 for the equivalent parameter in \"%\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"ed","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":165,"shortname":"10u","longname":"10 metre U wind component","units":"m s**-1","description":"This parameter is the eastward component of the 10m wind. It is the horizontal speed of air moving towards the east, at a height of ten metres above the surface of the Earth, in metres per second.

Care should be taken when comparing this parameter with observations, because wind observations vary on small space and time scales and are affected by the local terrain, vegetation and buildings that are represented only on average in the ECMWF Integrated Forecasting System.

This parameter can be combined with the V component of 10m wind to give the speed and direction of the horizontal 10m wind.","access_ids":["dissemination"],"origin_ids":[-20,0,34,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":166,"shortname":"10v","longname":"10 metre V wind component","units":"m s**-1","description":"This parameter is the northward component of the 10m wind. It is the horizontal speed of air moving towards the north, at a height of ten metres above the surface of the Earth, in metres per second.

Care should be taken when comparing this parameter with observations, because wind observations vary on small space and time scales and are affected by the local terrain, vegetation and buildings that are represented only on average in the ECMWF Integrated Forecasting System.

This parameter can be combined with the U component of 10m wind to give the speed and direction of the horizontal 10m wind.","access_ids":["dissemination"],"origin_ids":[-20,0,34,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":167,"shortname":"2t","longname":"2 metre temperature","units":"K","description":"This parameter is the temperature of air at 2m above the surface of land, sea or in-land waters.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

Please note that the encodings listed here for s2s & uerra (which includes encodings for carra/cerra) include entries for Mean 2 metre temperature. The specific encoding for Mean 2 metre temperature can be found in 228004.","access_ids":["dissemination"],"origin_ids":[-40,-30,-20,0,34,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"em","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"es","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"ed","levtype":"sfc"},{"class":"od","stream":"eefo","type":"em","levtype":"sfc"},{"class":"od","stream":"eefo","type":"es","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"em","levtype":"sfc"},{"class":"od","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":168,"shortname":"2d","longname":"2 metre dewpoint temperature","units":"K","description":"This parameter is the temperature to which the air, at 2 metres above the surface of the Earth, would have to be cooled for saturation to occur.

It is a measure of the humidity of the air. Combined with temperature and pressure, it can be used to calculate the relative humidity.

2m dew point temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[-40,-30,0,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":169,"shortname":"ssrd","longname":"Surface short-wave (solar) radiation downwards","units":"J m**-2","description":"This parameter is the amount of solar radiation (also known as shortwave radiation) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation.

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface (represented by this parameter). See further documentation.

To a reasonably good approximation, this parameter is the model equivalent of what would be measured by a pyranometer (an instrument used for measuring solar radiation) at the surface. However, care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":170,"shortname":"stl2","longname":"Soil temperature level 2","units":"K","description":"This parameter is the temperature of the soil at level 2 (in the middle of layer 2).

The ECMWF Integrated Forecasting System (IFS) has a four-layer representation of soil, where the surface is at 0cm:

Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of Kelvin (K). Temperature measured in Kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":171,"shortname":"swl2","longname":"Soil wetness level 2","units":"m of water equivalent","description":"Old field Layer 7-28 cm (new soil moisture is archived as field 40). Deep soil wetness (DSW) before 19930804. Water column scaled to depth of surf layer (7 cm).","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"es","levtype":"sfc"}]},{"id":172,"shortname":"lsm","longname":"Land-sea mask","units":"(0 - 1)","description":"This parameter is the proportion of land, as opposed to ocean or inland waters (lakes, reservoirs, rivers and coastal waters), in a grid box.
\nThis parameter has values ranging between zero and one and is dimensionless.
\nIn cycles of the ECMWF Integrated Forecasting System (IFS) from CY41R1 (introduced in May 2015) onwards, grid boxes where this parameter has a value above 0.5 can be comprised of a mixture of land and inland water but not ocean. Grid boxes with a value of 0.5 and below can only be comprised of a water surface. In the latter case, the lake cover is used to determine how much of the water surface is ocean or inland water.\n
In cycles of the IFS before CY41R1, grid boxes where this parameter has a value above 0.5 can only be comprised of land and those grid boxes with a value of 0.5 and below can only be comprised of ocean. In these older model cycles, there is no differentiation between ocean and inland water.","access_ids":["dissemination"],"origin_ids":[0,34,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":173,"shortname":"sr","longname":"Surface roughness (climatological)","units":"m","description":"Aerodynamic roughness length (over land). Climatological field.","access_ids":["dissemination"],"origin_ids":[-20,0,34,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":174,"shortname":"al","longname":"Albedo (climatological)","units":"(0 - 1)","description":"This parameter is a measure of the reflectivity of the Earth's surface. It is the fraction of solar (shortwave) radiation reflected by Earth's surface, across the solar spectrum, for both direct and diffuse radiation.

This parameter is a climatological (observed values averaged over a period of several years) background albedo which varies through the year and which excludes values over snow and sea-ice. Over land, values are typically between about 0.1 and 0.4 and the ocean has low values of 0.1 or less.

Note: this parameter is a very old broadband albedo climatology that has since been replaced by a MODIS climatology in two spectral bands (see parameters 210186 to 210191).

Radiation from the Sun (also known as solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface, where some of it is reflected. The portion that is reflected by the Earth's surface depends on the albedo. See further documentation.

This parameter is calculated as a fraction (0 - 1), but albedo is sometimes shown as a percentage (%).","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":175,"shortname":"strd","longname":"Surface long-wave (thermal) radiation downwards","units":"J m**-2","description":"This parameter is the amount of thermal (also known as longwave or terrestrial) radiation emitted by the atmosphere and clouds that reaches a horizontal plane at the surface of the Earth.

The surface of the Earth emits thermal radiation, some of which is absorbed by the atmosphere and clouds. The atmosphere and clouds likewise emit thermal radiation in all directions, some of which reaches the surface (represented by this parameter). See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":176,"shortname":"ssr","longname":"Surface net short-wave (solar) radiation","units":"J m**-2","description":"This parameter is the amount of solar radiation (also known as shortwave radiation) that reaches a horizontal plane at the surface of the Earth (both direct and diffuse) minus the amount reflected by the Earth's surface (which is governed by the albedo).

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The remainder is incident on the Earth's surface, where some of it is reflected. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":177,"shortname":"str","longname":"Surface net long-wave (thermal) radiation","units":"J m**-2","description":"Thermal radiation (also known as longwave or terrestrial radiation) refers to radiation emitted by the atmosphere, clouds and the surface of the Earth. This parameter is the difference between downward and upward thermal radiation at the surface of the Earth. It the amount passing through a horizontal plane.

The atmosphere and clouds emit thermal radiation in all directions, some of which reaches the surface as downward thermal radiation. The upward thermal radiation at the surface consists of thermal radiation emitted by the surface plus the fraction of downwards thermal radiation reflected upward by the surface. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":178,"shortname":"tsr","longname":"Top net short-wave (solar) radiation","units":"J m**-2","description":"This parameter is the incoming solar radiation (also known as shortwave radiation) minus the outgoing solar radiation at the top of the atmosphere. It is the amount of radiation passing through a horizontal plane. The incoming solar radiation is the amount received from the Sun. The outgoing solar radiation is the amount reflected and scattered by the Earth's atmosphere and surface. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[-20,0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":179,"shortname":"ttr","longname":"Top net long-wave (thermal) radiation","units":"J m**-2","description":"The thermal (also known as terrestrial or longwave) radiation emitted to space at the top of the atmosphere is commonly known as the Outgoing Longwave Radiation (OLR). The top net thermal radiation (this parameter) is equal to the negative of OLR. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":180,"shortname":"ewss","longname":"Time-integrated eastward turbulent surface stress","units":"N m**-2 s","description":"Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the accumulated stress on the Earth's surface in the eastward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag. The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface. The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.

Positive (negative) values denote stress in the eastward (westward) direction.

This parameter is accumulated over a particular time period which depends on the data extracted.","access_ids":["dissemination"],"origin_ids":[-40,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":181,"shortname":"nsss","longname":"Time-integrated northward turbulent surface stress","units":"N m**-2 s","description":"Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the accumulated stress on the Earth's surface in the northward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.

Positive (negative) values denote stress in the northward (southward) direction.

This parameter is accumulated over a particular time period which depends on the data extracted.","access_ids":["dissemination"],"origin_ids":[-40,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":182,"shortname":"e","longname":"Evaporation","units":"m of water equivalent","description":"This parameter is the accumulated amount of water that has evaporated from the Earth's surface, including a simplified representation of transpiration (from vegetation), into vapour in the air above.

This parameter is accumulated over a particular time period which depends on the data extracted.

The ECMWF Integrated Forecasting System convention is that downward fluxes are positive. Therefore, negative values indicate evaporation and positive values indicate condensation.\n
[NOTE: See 260259 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-70,-50,0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":183,"shortname":"stl3","longname":"Soil temperature level 3","units":"K","description":"This parameter is the temperature of the soil at level 3 (in the middle of layer 3).

The ECMWF Integrated Forecasting System (IFS) has a four-layer representation of soil, where the surface is at 0cm:

Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of Kelvin (K). Temperature measured in Kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":184,"shortname":"swl3","longname":"Soil wetness level 3","units":"m of water equivalent","description":"Old field Layer 28-100 cm (new soil moisture is archived as field 41). Climatological deep soil wetness (CDSW) before 19930804. Water column scaled to depth of surf layer (7 cm).","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"es","levtype":"sfc"}]},{"id":185,"shortname":"ccc","longname":"Convective cloud cover","units":"(0 - 1)","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":186,"shortname":"lcc","longname":"Low cloud cover","units":"(0 - 1)","description":"This parameter is the proportion of a grid box covered by cloud occurring in the lower levels of the troposphere. Low cloud is a single level field calculated from cloud occurring on model levels with a pressure greater than 0.8 times the surface pressure. So, if the surface pressure is 1000 hPa (hectopascal), low cloud would be calculated using levels with a pressure greater than 800 hPa (below approximately 2km (assuming a 'standard atmosphere')).

The low cloud cover parameter is calculated from cloud cover for the appropriate model levels as described above. Assumptions are made about the degree of overlap/randomness between clouds in different model levels.

Cloud fractions vary from 0 to 1.\n
[NOTE: See 3073 for the equivalent parameter in \"%\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":187,"shortname":"mcc","longname":"Medium cloud cover","units":"(0 - 1)","description":"This parameter is the proportion of a grid box covered by cloud occurring in the middle levels of the troposphere. Medium cloud is a single level field calculated from cloud occurring on model levels with a pressure between 0.45 and 0.8 times the surface pressure. So, if the surface pressure is 1000 hPa (hectopascal), medium cloud would be calculated using levels with a pressure of less than or equal to 800 hPa and greater than or equal to 450 hPa (between approximately 2km and 6km (assuming a 'standard atmosphere')).

The medium cloud parameter is calculated from cloud cover for the appropriate model levels as described above. Assumptions are made about the degree of overlap/randomness between clouds in different model levels.

Cloud fractions vary from 0 to 1.\n
[NOTE: See 3074 for the equivalent parameter in \"%\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":188,"shortname":"hcc","longname":"High cloud cover","units":"(0 - 1)","description":"The proportion of a grid box covered by cloud occurring in the high levels of the troposphere. High cloud is a single level field calculated from cloud occurring on model levels with a pressure less than 0.45 times the surface pressure. So, if the surface pressure is 1000 hPa (hectopascal), high cloud would be calculated using levels with a pressure of less than 450 hPa (approximately 6km and above ( assuming a `standard atmosphere`)).

The high cloud cover parameter is calculated from cloud for the appropriate model levels as described above. Assumptions are made about the degree of overlap/randomness between clouds in different model levels.

Cloud fractions vary from 0 to 1.\n
[NOTE: See 3075 for the equivalent parameter in \"%\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":189,"shortname":"sund","longname":"Sunshine duration","units":"s","description":"This parameter is the length of time in which the direct solar (shortwave) radiation at the Earth's surface, falling on a plane perpendicular to the direction of the Sun, is greater than or equal to 120 W m-2.

The minimum solar intensity level of 120 W m-2 is defined by the World Meteorological Organisation and is consistent with observed values of sunshine duration from a Campbell-Stokes recorder (sometimes called a Stokes sphere) that can only measure moderately intense sunlight and brighter.

This parameter is accumulated over a particular time period which depends on the data extracted.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":190,"shortname":"ewov","longname":"East-West component of sub-gridscale orographic variance","units":"m**2","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":191,"shortname":"nsov","longname":"North-South component of sub-gridscale orographic variance","units":"m**2","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":192,"shortname":"nwov","longname":"North-West/South-East component of sub-gridscale orographic variance","units":"m**2","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":193,"shortname":"neov","longname":"North-East/South-West component of sub-gridscale orographic variance","units":"m**2","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":194,"shortname":"btmp","longname":"Brightness temperature","units":"K","description":null,"access_ids":[],"origin_ids":[0,34,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"em","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"ses","levtype":"sfc"}]},{"id":195,"shortname":"lgws","longname":"Eastward gravity wave surface stress","units":"N m**-2 s","description":"Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the component of the surface stress, in an eastward direction, associated with low-level blocking and orographic gravity waves. It is calculated by the ECMWF Integrated Forecasting System sub-grid orography scheme. It represents surface stress due to unresolved valleys, hills and mountains with horizontal scales between 5 km and the model grid. (The surface stress associated with orographic features with horizontal scales smaller than 5 km is accounted for by the turbulent orographic form drag scheme).

Orographic gravity waves are oscillations in the flow maintained by the buoyancy of displaced air parcels, produced when the air is deflected upwards by hills and mountains. Hills and mountains can also block the flow of air at low levels. Together these processes can create a drag or stress on the atmosphere at the Earth's surface (and at other levels in the atmosphere).

This parameter is accumulated over a particular time period which depends on the data extracted.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":196,"shortname":"mgws","longname":"Northward gravity wave surface stress","units":"N m**-2 s","description":"Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the component of the surface stress, in a northward direction, associated with low-level blocking and orographic gravity waves. It is calculated by the ECMWF Integrated Forecasting System sub-grid orography scheme. It represents surface stress due to unresolved valleys, hills and mountains with horizontal scales between 5 km and the model grid. (The surface stress associated with orographic features with horizontal scales smaller than 5 km is accounted for by the turbulent orographic form drag scheme). The stress computed in the sub-grid orography scheme is associated with low-level blocking and orographic gravity waves.

Orographic gravity waves are oscillations in the flow maintained by the buoyancy of displaced air parcels, produced when the air is deflected upwards by hills and mountains. Hills and mountains can also block the flow of air at low levels. Together these processes can create a drag or stress on the atmosphere at the Earth's surface (and at other levels in the atmosphere).

This parameter is accumulated over a particular time period which depends on the data extracted.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":197,"shortname":"gwd","longname":"Gravity wave dissipation","units":"J m**-2","description":"This parameter is the amount of energy per unit area that is converted from kinetic energy in the mean flow, into heat, due to the effects of orographic gravity waves. A higher value of this parameter means that more energy is being converted to heat, and so the mean flow is slowing more and the air temperature is rising by a greater amount.

Orographic gravity waves are oscillations in the flow maintained by the buoyancy of displaced air parcels, produced when the air is deflected upwards by hills and mountains. Hills and mountains can also block the flow of air at low levels. Together these processes can create a drag or stress on the atmosphere at the Earth's surface (and at other levels in the atmosphere).

This parameter is accumulated over a particular time period which depends on the data extracted.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":198,"shortname":"src","longname":"Skin reservoir content","units":"m of water equivalent","description":"This parameter is the amount of water in the vegetation canopy and/or in a thin layer on the soil.

It represents the amount of rain intercepted by foliage, and water from dew. The maximum amount of 'skin reservoir content' a grid box can hold depends on the type of vegetation, and may be zero. Water leaves the 'skin reservoir' by evaporation.

See further information.","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":199,"shortname":"veg","longname":"Vegetation fraction","units":"(0 - 1)","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":200,"shortname":"vso","longname":"Variance of sub-gridscale orography","units":"m**2","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":201,"shortname":"mx2t","longname":"Maximum temperature at 2 metres since previous post-processing","units":"K","description":"This parameter is the highest temperature of air at 2m above the surface of land, sea or in-land waters since the parameter was last archived in a particular forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[-20,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":202,"shortname":"mn2t","longname":"Minimum temperature at 2 metres since previous post-processing","units":"K","description":"This parameter is the lowest temperature of air at 2m above the surface of land, sea or in-land waters since the parameter was last archived in a particular forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[-20,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":203,"shortname":"o3","longname":"Ozone mass mixing ratio","units":"kg kg**-1","description":"This parameter is the mass of ozone per kilogram of air.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation.

Naturally occurring ozone in the stratosphere helps protect organisms at the surface of the Earth from the harmful effects of ultraviolet (UV) radiation from the Sun. Ozone near the surface, often produced because of pollution, is harmful to organisms.

Most of the IFS chemical species are archived as mass mixing ratios [kg kg-1]. This link explains how to convert to concentration in terms of mass per unit volume.","access_ids":["dissemination"],"origin_ids":[-80,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"cf","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"pt"},{"class":"od","stream":"eefh","type":"cf","levtype":"pv"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"pl"},{"class":"od","stream":"eefh","type":"pf","levtype":"pt"},{"class":"od","stream":"eefh","type":"pf","levtype":"pv"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"pl"},{"class":"od","stream":"eefo","type":"cf","levtype":"pt"},{"class":"od","stream":"eefo","type":"cf","levtype":"pv"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"pl"},{"class":"od","stream":"eefo","type":"pf","levtype":"pt"},{"class":"od","stream":"eefo","type":"pf","levtype":"pv"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"4v","levtype":"pt"},{"class":"od","stream":"elda","type":"4v","levtype":"pv"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"pt"},{"class":"od","stream":"elda","type":"an","levtype":"pv"},{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"elda","type":"fc","levtype":"pt"},{"class":"od","stream":"elda","type":"fc","levtype":"pv"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"pl"},{"class":"od","stream":"enfh","type":"cf","levtype":"pt"},{"class":"od","stream":"enfh","type":"cf","levtype":"pv"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"pv"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"pl"},{"class":"od","stream":"enfh","type":"pf","levtype":"pt"},{"class":"od","stream":"enfh","type":"pf","levtype":"pv"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"pl"},{"class":"od","stream":"enfo","type":"pf","levtype":"pt"},{"class":"od","stream":"enfo","type":"pf","levtype":"pv"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"4v","levtype":"pt"},{"class":"od","stream":"lwda","type":"4v","levtype":"pv"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","levtype":"pt"},{"class":"od","stream":"lwda","type":"an","levtype":"pv"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"pt"},{"class":"od","stream":"lwda","type":"fc","levtype":"pv"},{"class":"od","stream":"mmsf","type":"fc","levtype":"pl"},{"class":"od","stream":"msmm","type":"em","levtype":"pl"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"pl"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"pl"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"pl"},{"class":"od","stream":"oper","type":"4v","levtype":"pt"},{"class":"od","stream":"oper","type":"4v","levtype":"pv"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"oper","type":"an","levtype":"pt"},{"class":"od","stream":"oper","type":"an","levtype":"pv"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"pt"},{"class":"od","stream":"oper","type":"fc","levtype":"pv"}]},{"id":204,"shortname":"paw","longname":"Precipitation analysis weights","units":"~","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":205,"shortname":"ro","longname":"Runoff","units":"m","description":"Some water from rainfall, melting snow, or deep in the soil, stays stored in the soil. Otherwise, the water drains away, either over the surface (surface runoff), or under the ground (sub-surface runoff) and the sum of these two is simply called 'runoff'. This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted.The units of runoff are depth in metres. This is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point rather than averaged over a grid square area. Observations are also often taken in different units, such as mm/day, rather than the accumulated metres produced here.

Runoff is a measure of the availability of water in the soil, and can, for example, be used as an indicator of drought or flood. More information about how runoff is calculated is given in the IFS Physical Processes documentation.\n
[NOTE: See 231002 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-80,-70,-50,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":206,"shortname":"tco3","longname":"Total column ozone","units":"kg m**-2","description":"This parameter is the total amount of ozone in a column of air extending from the surface of the Earth to the top of the atmosphere. This parameter can also be referred to as total ozone, or vertically integrated ozone. The values are dominated by ozone within the stratosphere.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation .

Naturally occurring ozone in the stratosphere helps protect organisms at the surface of the Earth from the harmful effects of ultraviolet (UV) radiation from the Sun. Ozone near the surface, often produced because of pollution, is harmful to organisms.

In the IFS, the units for total ozone are kilograms per square metre, but before 12/06/2001 dobson units were used. Dobson units (DU) are still used extensively for total column ozone. 1 DU = 2.1415E-5 kg m-2\r\n\r\n[NOTE: See 260132 for the equivalent parameter in 'DU']","access_ids":["dissemination"],"origin_ids":[-80,-50,0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":207,"shortname":"10si","longname":"10 metre wind speed","units":"m s**-1","description":"This parameter is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth. The units of this parameter are metres per second.

Care should be taken when comparing this parameter with observations, because wind observations vary on small space and time scales and are affected by the local terrain, vegetation and buildings that are represented only on average in the ECMWF Integrated Forecasting System.

The eastward and northward components of the horizontal wind at 10m are also available as parameters.","access_ids":["dissemination"],"origin_ids":[-20,0,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"em","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"ed","levtype":"sfc"},{"class":"od","stream":"eefo","type":"em","levtype":"sfc"},{"class":"od","stream":"eefo","type":"es","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"em","levtype":"sfc"},{"class":"od","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":208,"shortname":"tsrc","longname":"Top net short-wave (solar) radiation, clear sky","units":"J m**-2","description":"This parameter is the incoming solar radiation (also known as shortwave radiation) minus the outgoing solar radiation at the top of the atmosphere, assuming clear-sky (cloudless) conditions. It is the amount of radiation passing through a horizontal plane. The incoming solar radiation is the amount received from the Sun. The outgoing solar radiation is the amount reflected and scattered by the Earth's atmosphere and surface, assuming clear-sky (cloudless) conditions. See further documentation.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as the total-sky (clouds included) quantities, but assuming that the clouds are not there.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":209,"shortname":"ttrc","longname":"Top net long-wave (thermal) radiation, clear sky","units":"J m**-2","description":"This parameter is the thermal (also known as terrestrial or longwave) radiation emitted to space at the top of the atmosphere, assuming clear-sky (cloudless) conditions. It is the amount passing through a horizontal plane. Note that the ECMWF convention for vertical fluxes is positive downwards, so a flux from the atmosphere to space will be negative. See further documentation.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as total-sky quantities (clouds included), but assuming that the clouds are not there.

The thermal radiation emitted to space at the top of the atmosphere is commonly known as the Outgoing Longwave Radiation (OLR) (i.e., taking a flux from the atmosphere to space as positive). Note that OLR is typically shown in units of watts per square metre (W m-2).

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":210,"shortname":"ssrc","longname":"Surface net short-wave (solar) radiation, clear sky","units":"J m**-2","description":"This parameter is the amount of solar (shortwave) radiation reaching the surface of the Earth (both direct and diffuse) minus the amount reflected by the Earth's surface (which is governed by the albedo), assuming clear-sky (cloudless) conditions. It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as the corresponding total-sky quantities (clouds included), but assuming that the clouds are not there.

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface, where some of it is reflected. The difference between downward and reflected solar radiation is the surface net solar radiation. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":211,"shortname":"strc","longname":"Surface net long-wave (thermal) radiation, clear sky","units":"J m**-2","description":"Thermal radiation (also known as longwave or terrestrial radiation) refers to radiation emitted by the atmosphere, clouds and the surface of the Earth. This parameter is the difference between downward and upward thermal radiation at the surface of the Earth, assuming clear-sky (cloudless) conditions. It is the amount of radiation passing through a horizontal plane. See further documentation.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as the corresponding total-sky quantities (clouds included), but assuming that the clouds are not there.

The atmosphere and clouds emit thermal radiation in all directions, some of which reaches the surface as downward thermal radiation. The upward thermal radiation at the surface consists of thermal radiation emitted by the surface plus the fraction of downwards thermal radiation reflected upward by the surface. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards. ","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":212,"shortname":"tisr","longname":"TOA incident short-wave (solar) radiation","units":"J m**-2","description":"Accumulated field","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":213,"shortname":"vimd","longname":"Vertically integrated moisture divergence","units":"kg m**-2","description":"The vertical integral of the moisture flux is the horizontal rate of flow of moisture (water vapour, cloud liquid and cloud ice), per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of moisture spreading outward from a point, per square metre.

This parameter is accumulated over a particular time period which depends on the data extracted

This parameter is positive for moisture that is spreading out, or diverging, and negative for the opposite, for moisture that is concentrating, or converging (convergence). This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of moisture, over the time period. High negative values of this parameter (i.e. large moisture convergence) can be related to precipitation intensification and floods.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":214,"shortname":"dhr","longname":"Diabatic heating by radiation","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":215,"shortname":"dhvd","longname":"Diabatic heating by vertical diffusion","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":216,"shortname":"dhcc","longname":"Diabatic heating by cumulus convection","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":217,"shortname":"dhlc","longname":"Diabatic heating large-scale condensation","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":218,"shortname":"vdzw","longname":"Vertical diffusion of zonal wind","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":219,"shortname":"vdmw","longname":"Vertical diffusion of meridional wind","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":220,"shortname":"ewgd","longname":"East-West gravity wave drag tendency","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":221,"shortname":"nsgd","longname":"North-South gravity wave drag tendency","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":222,"shortname":"ctzw","longname":"Convective tendency of zonal wind","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":223,"shortname":"ctmw","longname":"Convective tendency of meridional wind","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":224,"shortname":"vdh","longname":"Vertical diffusion of humidity","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":225,"shortname":"htcc","longname":"Humidity tendency by cumulus convection","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":226,"shortname":"htlc","longname":"Humidity tendency by large-scale condensation","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":227,"shortname":"crnh","longname":"Tendency due to removal of negative humidity","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":228,"shortname":"tp","longname":"Total precipitation","units":"m","description":"This parameter is the accumulated liquid and frozen water, comprising rain and snow, that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of the grid box or larger. Convective precipitation is generated by the convection scheme in the IFS, which represents convection at spatial scales smaller than the grid box. See further information. This parameter does not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted. The units of this parameter are depth in metres of water equivalent. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.\r\n\r\n[NOTE: See 228228 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-90,-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"ed","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eehs","type":"cd","levtype":"sfc"},{"class":"od","stream":"eehs","type":"em","levtype":"sfc"},{"class":"od","stream":"eehs","type":"es","levtype":"sfc"},{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":229,"shortname":"iews","longname":"Instantaneous eastward turbulent surface stress","units":"N m**-2","description":"Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the stress on the Earth's surface at the specified time in the eastward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.

Positive (negative) values denote stress in the eastward (westward) direction.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":230,"shortname":"inss","longname":"Instantaneous northward turbulent surface stress","units":"N m**-2","description":"Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the stress on the Earth's surface at the specified time in the northward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.

Positive (negative) values denote stress in the northward (southward) direction.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":231,"shortname":"ishf","longname":"Instantaneous surface sensible heat net flux","units":"W m**-2","description":"

This parameter is the transfer of heat between the Earth's surface and the atmosphere, at the specified time, through the effects of turbulent air motion (but excluding any heat transfer resulting from condensation or evaporation).

The magnitude of the sensible heat flux is governed by the difference in temperature between the surface and the overlying atmosphere, wind speed and the surface roughness. For example, cold air overlying a warm surface would produce a sensible heat flux from the land (or ocean) into the atmosphere.The ECMWF convention for vertical fluxes is positive downwards. See further documentation.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":232,"shortname":"ie","longname":"Instantaneous moisture flux","units":"kg m**-2 s**-1","description":"This parameter is the net rate of moisture exchange between the land/ocean surface and the atmosphere, due to the processes of evaporation (including evapotranspiration) and condensation, at the specified time. By convention, downward fluxes are positive, which means that evaporation is represented by negative values and condensation by positive values.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":233,"shortname":"asq","longname":"Apparent surface humidity","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":234,"shortname":"lsrh","longname":"Logarithm of surface roughness length for heat (climatological)","units":"Numeric","description":"Represents surface roughness length for heat and moisture over land. Climatological field.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":235,"shortname":"skt","longname":"Skin temperature","units":"K","description":"

This parameter is the temperature of the surface of the Earth.

The skin temperature is the theoretical temperature that is required to satisfy the surface energy balance. It represents the temperature of the uppermost surface layer, which has no heat capacity and so can respond instantaneously to changes in surface fluxes. Skin temperature is calculated differently over land and sea.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information about the skin temperature over land and over sea.

Please note that the encodings listed here for s2s & uerra (which includes carra/cerra) include entries for Time-mean skin temperature. The specific encoding for Mean skin temperature can be found in 235079.

","access_ids":["dissemination"],"origin_ids":[-40,-20,0,98],"table":128,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":236,"shortname":"stl4","longname":"Soil temperature level 4","units":"K","description":"This parameter is the temperature of the soil at level 4 (in the middle of layer 4).

The ECMWF Integrated Forecasting System (IFS) has a four-layer representation of soil, where the surface is at 0cm:

Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of Kelvin (K). Temperature measured in Kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":237,"shortname":"swl4","longname":"Soil wetness level 4","units":"m","description":"Old field Layer 100-289 cm (soil moisture is archived as field 42). Water column scaled to depth of surf layer (7 cm).","access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[{"class":"od","stream":"elda","type":"es","levtype":"sfc"}]},{"id":238,"shortname":"tsn","longname":"Temperature of snow layer","units":"K","description":"This parameter gives the temperature of the snow layer from the ground to the snow-air interface.

The ECMWF Integrated Forecast System (IFS) model represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box.

See further information on snow in the IFS.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sol"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sol"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sol"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sol"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sol"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sol"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sol"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sol"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sol"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sol"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sol"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sol"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sol"}]},{"id":239,"shortname":"csf","longname":"Convective snowfall","units":"m of water equivalent","description":"Accumulated field","access_ids":[],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[]},{"id":240,"shortname":"lsf","longname":"Large-scale snowfall","units":"m of water equivalent","description":"Accumulated field","access_ids":[],"origin_ids":[-80,-50,98],"table":128,"mars_request_context":[]},{"id":241,"shortname":"acf","longname":"Accumulated cloud fraction tendency","units":"(-1 to 1)","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":242,"shortname":"alw","longname":"Accumulated liquid water tendency","units":"(-1 to 1)","description":null,"access_ids":[],"origin_ids":[98],"table":128,"mars_request_context":[]},{"id":243,"shortname":"fal","longname":"Forecast albedo","units":"(0 - 1)","description":"This parameter is a measure of the reflectivity of the Earth's surface. It is the fraction of solar (shortwave) radiation reflected by Earth's surface, across the solar spectrum, for both direct and diffuse radiation. Typically, snow and ice have high reflectivity with albedo values of 0.8 and above, land has intermediate values between about 0.1 and 0.4 and the ocean has low values of 0.1 or less.

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface, where some of it is reflected. The portion that is reflected by the Earth's surface depends on the albedo. See further documentation .

In the ECMWF Integrated Forecasting System (IFS), a climatological background albedo (observed values averaged over a period of several years) is used, modified by the model over water, ice and snow.

Albedo is often shown as a percentage (%).
\n[NOTE: See 260509 for the equivalent parameter in '%']","access_ids":["dissemination"],"origin_ids":[-80,-70,-50,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":244,"shortname":"fsr","longname":"Forecast surface roughness","units":"m","description":"This parameter is the aerodynamic roughness length in metres.

It is a measure of the surface resistance. This parameter is used to determine the air to surface transfer of momentum. For given atmospheric conditions, a higher surface roughness causes a slower near-surface wind speed.

Over the ocean, surface roughness depends on the waves. Over the land, surface roughness is derived from the vegetation type and snow cover.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":245,"shortname":"flsr","longname":"Forecast logarithm of surface roughness for heat","units":"Numeric","description":"This parameter is the natural logarithm of the roughness length for heat.

The surface roughness for heat is a measure of the surface resistance to heat transfer. This parameter is used to determine the air to surface transfer of heat. For given atmospheric conditions, a higher surface roughness for heat means that it is more difficult for the air to exchange heat with the surface. A lower surface roughness for heat that it is easier for the air to exchange heat with the surface.

Over the ocean, surface roughness for heat depends on the waves. Over sea-ice, it has a constant value of 0.001 m. Over the land, it is derived from the vegetation type and snow cover. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":128,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":246,"shortname":"clwc","longname":"Specific cloud liquid water content","units":"kg kg**-1","description":"This parameter is the mass of cloud liquid water droplets per kilogram of the total mass of moist air. The 'total mass of moist air' is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow. This parameter represents the average value for a grid box.

Water within clouds can be liquid or ice, or a combination of the two. See further information about the cloud formulation.","access_ids":["dissemination"],"origin_ids":[-80,-20,0,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"mmsf","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"pl"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"}]},{"id":247,"shortname":"ciwc","longname":"Specific cloud ice water content","units":"kg kg**-1","description":"This parameter is the mass of cloud ice particles per kilogram of the total mass of moist air. The 'total mass of moist air' is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow. This parameter represents the average value for a grid box.

Water within clouds can be liquid or ice, or a combination of the two.
Note that 'cloud frozen water' is the same as 'cloud ice water'.

See further information about the cloud formulation.","access_ids":["dissemination"],"origin_ids":[-80,-20,0,34,98],"table":128,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"ml"},{"class":"mc","stream":"oper","type":"fc","levtype":"pl"},{"class":"od","stream":"eefh","type":"cf","levtype":"ml"},{"class":"od","stream":"eefh","type":"pf","levtype":"ml"},{"class":"od","stream":"eefo","type":"cf","levtype":"ml"},{"class":"od","stream":"eefo","type":"pf","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"ml"},{"class":"od","stream":"elda","type":"4v","levtype":"pl"},{"class":"od","stream":"elda","type":"an","levtype":"ml"},{"class":"od","stream":"elda","type":"an","levtype":"pl"},{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"ml"},{"class":"od","stream":"elda","type":"fc","levtype":"pl"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"},{"class":"od","stream":"enfh","type":"cf","levtype":"ml"},{"class":"od","stream":"enfh","type":"pf","levtype":"ml"},{"class":"od","stream":"enfo","type":"pf","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"ml"},{"class":"od","stream":"lwda","type":"4v","levtype":"pl"},{"class":"od","stream":"lwda","type":"an","levtype":"ml"},{"class":"od","stream":"lwda","type":"an","levtype":"pl"},{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"lwda","type":"fc","levtype":"pl"},{"class":"od","stream":"mmsf","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"ml"},{"class":"od","stream":"oper","type":"4v","levtype":"pl"},{"class":"od","stream":"oper","type":"an","levtype":"ml"},{"class":"od","stream":"oper","type":"an","levtype":"pl"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"pl"}]},{"id":248,"shortname":"cc","longname":"Fraction of cloud cover","units":"(0 - 1)","description":"This parameter is the proportion of a grid box covered by cloud (liquid or ice). 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It uses model projections of water vapour, cloud, rain and snow, and climatological aerosol fields to estimate the visibility that would be recorded by weather observers. It is calculated in the IFS at 10 m above the surface of the Earth.

Visibility is normally many kilometers, but is reduced by several meteorological factors including water droplets (fog), precipitation, humidity and aerosols.

Historically, visibility observations have been estimated by human observers judging whether they can see distant objects. More recently, visibility sensors measure the length of atmosphere over which a beam of light travels before its luminous flux is reduced to 5% of its original value. 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Please use 235135 for the GRIB2 encoding of this parameter.

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An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131002,"shortname":"2tag1","longname":"2m temperature anomaly of at least +1K","units":"%","description":"This parameter gives the probability (in %) that the 2m temperature anomaly will be +1K or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 2m temperature anomaly of +1K or above.

An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131003,"shortname":"2tag0","longname":"2m temperature anomaly of at least 0K","units":"%","description":"This parameter gives the probability (in %) that the 2m temperature anomaly will be 0K or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 2m temperature anomaly of 0K or above.

An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131004,"shortname":"2talm1","longname":"2m temperature anomaly of at most -1K","units":"%","description":"This parameter gives the probability (in %) that the 2m temperature anomaly will be -1K or below. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 2m temperature anomaly of -1K or below.

An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131005,"shortname":"2talm2","longname":"2m temperature anomaly of at most -2K","units":"%","description":"This parameter gives the probability (in %) that the 2m temperature anomaly will be -2K or below. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 2m temperature anomaly of -2K or below.

An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131006,"shortname":"tpag20","longname":"Total precipitation anomaly of at least 20 mm","units":"%","description":"This parameter gives the probability (in %) that the total precipitation anomaly will be 20 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation anomaly of 20mm or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131007,"shortname":"tpag10","longname":"Total precipitation anomaly of at least 10 mm","units":"%","description":"This parameter gives the probability (in %) that the total precipitation anomaly will be 10 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation anomaly of 10mm or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131008,"shortname":"tpag0","longname":"Total precipitation anomaly of at least 0 mm","units":"%","description":"This parameter gives the probability (in %) that the total precipitation anomaly will be 0 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation anomaly of 0mm or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131009,"shortname":"stag0","longname":"Surface temperature anomaly of at least 0K","units":"%","description":null,"access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131010,"shortname":"mslag0","longname":"Mean sea level pressure anomaly of at least 0 Pa","units":"%","description":null,"access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"ep","levtype":"sfc"}]},{"id":131015,"shortname":"h0dip","longname":"Height of 0 degree isotherm probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131016,"shortname":"hslp","longname":"Height of snowfall limit probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131017,"shortname":"saip","longname":"Showalter index probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131018,"shortname":"whip","longname":"Whiting index probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131020,"shortname":"talm2","longname":"Temperature anomaly less than -2 K","units":"%","description":"This parameter gives the probability (in %) that the temperature anomaly is below -2 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly below -2 K. An anomaly is a difference from a defined long-term average.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"pl"}]},{"id":131021,"shortname":"tag2","longname":"Temperature anomaly of at least +2 K","units":"%","description":"This parameter gives the probability (in %) that the temperature anomaly is 2 K or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly of 2 K or above. An anomaly is a difference from a defined long-term average.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"pl"}]},{"id":131022,"shortname":"talm8","longname":"Temperature anomaly less than -8 K","units":"%","description":"This parameter gives the probability (in %) that the temperature anomaly is below -8 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly below -8 K. An anomaly is a difference from a defined long-term average.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"pl"}]},{"id":131023,"shortname":"talm4","longname":"Temperature anomaly less than -4 K","units":"%","description":"This parameter gives the probability (in %) that the temperature anomaly is below -4 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly below -4 K. An anomaly is a difference from a defined long-term average.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"pl"}]},{"id":131024,"shortname":"tag4","longname":"Temperature anomaly greater than +4 K","units":"%","description":"This parameter gives the probability (in %) that the temperature anomaly exceeds +4 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly above +4 K. An anomaly is a difference from a defined long-term average.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"pl"}]},{"id":131025,"shortname":"tag8","longname":"Temperature anomaly greater than +8 K","units":"%","description":"This parameter gives the probability (in %) that the temperature anomaly exceeds +8 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly above +8 K. An anomaly is a difference from a defined long-term average.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"pl"}]},{"id":131049,"shortname":"10gp","longname":"10 metre wind gust probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131059,"shortname":"capep","longname":"Convective available potential energy probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131060,"shortname":"tpg1","longname":"Total precipitation of at least 1 mm","units":"%","description":"This parameter gives the probability (in %) that total precipitation will be 1 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation of 1 mm or above.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131061,"shortname":"tpg5","longname":"Total precipitation of at least 5 mm","units":"%","description":"This parameter gives the probability (in %) that total precipitation will be 5 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation of 5 mm or above.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131062,"shortname":"tpg10","longname":"Total precipitation of at least 10 mm","units":"%","description":"This parameter gives the probability (in %) that total precipitation will be 10 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation of 10 mm or above.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131063,"shortname":"tpg20","longname":"Total precipitation of at least 20 mm","units":"%","description":"This parameter gives the probability (in %) that total precipitation will be 20 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation of 20 mm or above.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131064,"shortname":"tpl01","longname":"Total precipitation less than 0.1 mm","units":"%","description":"This parameter gives the probability (in %) that total precipitation will be below 0.1 mm. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation below 0.1 mm.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131065,"shortname":"tprl1","longname":"Total precipitation rate less than 1 mm/day","units":"%","description":"This parameter gives the probability (in %) that the total precipitation rate will be less than 1 mm/day. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation rate of less than 1 mm/day. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box.See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131066,"shortname":"tprg3","longname":"Total precipitation rate of at least 3 mm/day","units":"%","description":"This parameter gives the probability (in %) that the total precipitation rate will 3 mm/day or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation rate of 3 mm/day or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box.See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131067,"shortname":"tprg5","longname":"Total precipitation rate of at least 5 mm/day","units":"%","description":"This parameter gives the probability (in %) that the total precipitation rate will 5 mm/day or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation rate of 5 mm/day or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box.See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131068,"shortname":"10spg10","longname":"10 metre Wind speed of at least 10 m/s","units":"%","description":"This parameter gives the probability (in %) that the 10 m wind speed will be 10 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m wind speed of 10 m s-1 or above.

10 metre wind speed is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131069,"shortname":"10spg15","longname":"10 metre Wind speed of at least 15 m/s","units":"%","description":"This parameter gives the probability (in %) that the 10 m wind speed will be 15 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m wind speed of 15 m s-1 or above.

10 metre wind speed is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131070,"shortname":"10fgg15","longname":"10 metre wind gust of at least 15 m/s","units":"%","description":"This parameter gives the probability (in %) that the 10 m gust will be 15 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m gust speed of 15 m s-1 or above.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth. ","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131071,"shortname":"10fgg20","longname":"10 metre wind gust of at least 20 m/s","units":"%","description":"This parameter gives the probability (in %) that the 10 m gust will be 20 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m gust speed of 20 m s-1 or above.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth. ","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131072,"shortname":"10fgg25","longname":"10 metre wind gust of at least 25 m/s","units":"%","description":"This parameter gives the probability (in %) that the 10 m gust will be 25 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m gust speed of 25 m s-1 or above.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131073,"shortname":"2tl273","longname":"2 metre temperature less than 273.15 K","units":"%","description":"Probability","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131074,"shortname":"swhg2","longname":"Significant wave height of at least 2 m","units":"%","description":"This parameter gives the probability (in %) that the significant wave height will be 2 m or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a significant wave height of 2 m or above.

The significant wave height represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this significant wave height is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

Significant wave height can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"waef","type":"ep","levtype":"sfc"},{"class":"od","stream":"waef","type":"ep","levtype":"sfc"}]},{"id":131075,"shortname":"swhg4","longname":"Significant wave height of at least 4 m","units":"%","description":"This parameter gives the probability (in %) that the significant wave height will be 4 m or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a significant wave height of 4 m or above.

The significant wave height represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this significant wave height is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

Significant wave height can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"waef","type":"ep","levtype":"sfc"},{"class":"od","stream":"waef","type":"ep","levtype":"sfc"}]},{"id":131076,"shortname":"swhg6","longname":"Significant wave height of at least 6 m","units":"%","description":"This parameter gives the probability (in %) that the significant wave height will be 6 m or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a significant wave height of 6 m or above.

The significant wave height represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this significant wave height is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

Significant wave height can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"waef","type":"ep","levtype":"sfc"},{"class":"od","stream":"waef","type":"ep","levtype":"sfc"}]},{"id":131077,"shortname":"swhg8","longname":"Significant wave height of at least 8 m","units":"%","description":"This parameter gives the probability (in %) that the significant wave height will be 8 m or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a significant wave height of 8 m or above.

The significant wave height represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this significant wave height is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

Significant wave height can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"waef","type":"ep","levtype":"sfc"},{"class":"od","stream":"waef","type":"ep","levtype":"sfc"}]},{"id":131078,"shortname":"mwpg8","longname":"Mean wave period of at least 8 s","units":"%","description":"This parameter gives the probability (in %) that the mean wave period will be 8 s or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a mean wave period of 8 s or above.

The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"ai","stream":"waef","type":"ep","levtype":"sfc"},{"class":"od","stream":"waef","type":"ep","levtype":"sfc"}]},{"id":131079,"shortname":"mwpg10","longname":"Mean wave period of at least 10 s","units":"%","description":"This parameter gives the probability (in %) that the mean wave period will be 10 s or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a mean wave period of 10 s or above.

The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"ai","stream":"waef","type":"ep","levtype":"sfc"},{"class":"od","stream":"waef","type":"ep","levtype":"sfc"}]},{"id":131080,"shortname":"mwpg12","longname":"Mean wave period of at least 12 s","units":"%","description":"This parameter gives the probability (in %) that the mean wave period will be 12 s or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a mean wave period of 12 s or above.

The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"ai","stream":"waef","type":"ep","levtype":"sfc"},{"class":"od","stream":"waef","type":"ep","levtype":"sfc"}]},{"id":131081,"shortname":"mwpg15","longname":"Mean wave period of at least 15 s","units":"%","description":"This parameter gives the probability (in %) that the mean wave period will be 15 s or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a mean wave period of 15 s or above.

The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"ai","stream":"waef","type":"ep","levtype":"sfc"},{"class":"od","stream":"waef","type":"ep","levtype":"sfc"}]},{"id":131082,"shortname":"tpg40","longname":"Total precipitation of at least 40 mm","units":"%","description":"Probability","access_ids":[],"origin_ids":[0,98],"table":131,"mars_request_context":[]},{"id":131083,"shortname":"tpg60","longname":"Total precipitation of at least 60 mm","units":"%","description":"Probability","access_ids":[],"origin_ids":[0,98],"table":131,"mars_request_context":[]},{"id":131084,"shortname":"tpg80","longname":"Total precipitation of at least 80 mm","units":"%","description":"Probability","access_ids":[],"origin_ids":[0,98],"table":131,"mars_request_context":[]},{"id":131085,"shortname":"tpg100","longname":"Total precipitation of at least 100 mm","units":"%","description":"Probability","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131086,"shortname":"tpg150","longname":"Total precipitation of at least 150 mm","units":"%","description":"Probability","access_ids":[],"origin_ids":[0,98],"table":131,"mars_request_context":[]},{"id":131087,"shortname":"tpg200","longname":"Total precipitation of at least 200 mm","units":"%","description":"Probability","access_ids":[],"origin_ids":[0,98],"table":131,"mars_request_context":[]},{"id":131088,"shortname":"tpg300","longname":"Total precipitation of at least 300 mm","units":"%","description":"Probability","access_ids":[],"origin_ids":[0,98],"table":131,"mars_request_context":[]},{"id":131089,"shortname":"pts","longname":"Probability of a tropical storm","units":"%","description":"This parameter is the potential tropical storm activity. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a tropical storm.

This parameter is calculated from the number of ensemble members that have a tropical storm within a radius of 300 km of a location, within 48 hours. This is called the 'strike probability'.

A tropical storm is a circular pattern of wind centred around an area of non-frontal low atmospheric pressure at mean sea-level that developed over the tropics or sub-tropics. Its wind speeds near the surface of the Earth are greater than 17 m s-1 and less than 32 m s-1. In the northern hemisphere it rotates in an anti-clockwise direction near the surface, and in the southern hemisphere it rotates clockwise.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131090,"shortname":"ph","longname":"Probability of a hurricane","units":"%","description":"This parameter is the potential hurricane or typhoon activity. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a hurricane or typhoon.

This parameter is calculated from the number of ensemble members that have a hurricane or typhoon within a radius of 300 km of a location, within 48 hours of the specified time. This is called the 'strike probability'.

A hurricane is a circular pattern of wind centred around an area of non-frontal low atmospheric pressure at mean sea-level that develops over the tropics or sub-tropics. Its wind speeds near the surface of the Earth are greater than 32 m s-1. In the northern hemisphere it rotates in an anti-clockwise direction near the surface, and in the southern hemisphere it rotates clockwise. In the western North Pacific it is called a typhoon.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131091,"shortname":"ptd","longname":"Probability of a tropical depression","units":"%","description":"This parameter is the potential tropical depression activity. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a tropical depression.

This parameter is calculated from the number of ensemble members that have a tropical depression within a radius of 300 km of a location, within 48 hours of the specified time. This is sometimes called the 'strike probability'..

A tropical depression is a circular pattern of wind centred around an area of non-frontal low atmospheric pressure at mean sea-level that developed over the tropics or sub-tropics. Its wind speeds near the surface of the Earth are greater than 8 m s-1 and up to 17 m s-1. In the northern hemisphere it rotates in an anti-clockwise direction near the surface, and in the southern hemisphere it rotates clockwise.","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131092,"shortname":"cpts","longname":"Climatological probability of a tropical storm","units":"%","description":"","access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131093,"shortname":"cph","longname":"Climatological probability of a hurricane","units":"%","description":"","access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131094,"shortname":"cptd","longname":"Climatological probability of a tropical depression","units":"%","description":"","access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131095,"shortname":"pats","longname":"Probability anomaly of a tropical storm","units":"%","description":"","access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131096,"shortname":"pah","longname":"Probability anomaly of a hurricane","units":"%","description":"","access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131097,"shortname":"patd","longname":"Probability anomaly of a tropical depression","units":"%","description":"","access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131098,"shortname":"tpg25","longname":"Total precipitation of at least 25 mm","units":"%","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131099,"shortname":"tpg50","longname":"Total precipitation of at least 50 mm","units":"%","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"ai","stream":"enfo","type":"ep","levtype":"sfc"},{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131100,"shortname":"10fgg10","longname":"10 metre wind gust of at least 10 m/s","units":"%","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":131,"mars_request_context":[{"class":"od","stream":"enfo","type":"ep","levtype":"sfc"}]},{"id":131129,"shortname":"zp","longname":"Geopotential probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"pd","levtype":"pl"}]},{"id":131130,"shortname":"tap","longname":"Temperature anomaly probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131139,"shortname":"stl1p","longname":"Soil temperature level 1 probability","units":"%","description":"","access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"pd","levtype":"sfc"}]},{"id":131144,"shortname":"sfp","longname":"Snowfall (convective + stratiform) probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131151,"shortname":"mslpp","longname":"Mean sea level pressure probability","units":"%","description":"","access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"pd","levtype":"sfc"}]},{"id":131164,"shortname":"tccp","longname":"Total cloud cover probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131165,"shortname":"10sp","longname":"10 metre speed probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131167,"shortname":"2tp","longname":"2 metre temperature probability","units":"%","description":"This parameter is the probability (in %) that the 2 metre temperature falls within a particular quantile of the probability distribution function (pdf) for 2 metre temperature. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system.

The 2 metre temperature is the temperature of air at 2 m above the surface of land, sea or in-land waters. It is the standard for surface-level temperature measurements on land.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

A quantile is the division of the pdf into equally spaced interval. A higher probability indicates that more ensemble members are predicting a 2 metre temperature in that part of the quantile range.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"pd","levtype":"sfc"}]},{"id":131201,"shortname":"mx2tp","longname":"Maximum 2 metre temperature probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131202,"shortname":"mn2tp","longname":"Minimum 2 metre temperature probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131228,"shortname":"tpp","longname":"Total precipitation probability","units":"%","description":"This parameter is the probability (in %) that the total precipitation falls within a particular quantile of the probability distribution function (pdf) for total precipitation. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system.

The user decides how many quantiles the pdf is divided into, and which one the probability describes, e.g. lowest third, middle third or highest third. A higher probability indicates that more ensemble members are predicting a total precipitation in the selected part of the range.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[98],"table":131,"mars_request_context":[{"class":"od","stream":"eefo","type":"pd","levtype":"sfc"}]},{"id":131229,"shortname":"swhp","longname":"Significant wave height probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131232,"shortname":"mwpp","longname":"Mean wave period probability","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131255,"shortname":"~","longname":"Indicates a missing value","units":"~","description":null,"access_ids":[],"origin_ids":[98],"table":131,"mars_request_context":[]},{"id":131256,"shortname":"10cogug25","longname":"10 metre convective gust of at least 25 m/s","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":131,"mars_request_context":[]},{"id":132044,"shortname":"capesi","longname":"Convective available potential energy shear index","units":"Numeric","description":"

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

High values of this parameter indicate where deep, organised convection is more likely to occur, if it is initiated. When air rises through a large depth of the atmosphere extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result. 

The likelihood of severe weather and its level of intensity tend to increase with increasing organisation of convection. Convective supercells are the most prominent example. Such organised areas of convection tend to occur where wind changes rapidly with height i.e., in areas with strong vertical wind shear.

This parameter shows how extreme the ensemble forecast of convective available potential energy shear (CAPES) is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1. 

 

  • The closer the EFI is to +1 or -1, the more extreme the forecast CAPES values are.
  • EFI = 0 indicates that extreme CAPES values are unlikely, although convection can still occur.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high CAPES values are expected, relative to the model climate .
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low CAPES values are expected, relative to the model climate.



See more information about the EFI . See more information about the ensemble forecast.

To help determine whether convection will be initiated or not, the probability forecast for precipitation (for example) can be used, in conjunction with this parameter.

The convective available potential energy shear (CAPES) is the product of wind shear and the square root of convective available potential energy (CAPE). The wind shear denotes bulk shear which is a vector difference of winds at two different heights in the atmosphere (925 hPa and 500 hPa). The square root of CAPE is proportional to the maximum vertical velocity in convective updraughts.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"enfo","type":"efi","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efic","levtype":"sfc"},{"class":"od","stream":"enfo","type":"sot","levtype":"sfc"}]},{"id":132045,"shortname":"wvfi","longname":"Water vapour flux index","units":"Numeric","description":"Water Vapour Flux Index is a dimensionless parameter which represents the Extreme Forecast Index (EFI) of the Water Vapour Flux (wvf) averaged for a specified forecast period. It varies between -1 and 1. Shift of Tails (SOT) for wvfi is also computed and it can be retrieved by specifying type=sot. For details about wvfi please see:\r\n
\r\nLavers, D.A., E. Zsoter, D.S. Richardson, and F. Pappenberger, 2017: An Assessment of the ECMWF Extreme Forecast Index for Water Vapor Transport during Boreal Winter. Wea. Forecasting, 32, 1667–1674, https://doi.org/10.1175/WAF-D-17-0073.1\r\n
\r\nLavers, D. A., F. Pappenberger, D. S. Richardson, and E. Zsoter (2016), ECMWF Extreme Forecast Index for water vapor transport: A forecast tool for atmospheric rivers and extreme precipitation, Geophys. Res. Lett., 43, doi:10.1002/2016GL071320.","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"enfo","type":"efi","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efic","levtype":"sfc"},{"class":"od","stream":"enfo","type":"sot","levtype":"sfc"}]},{"id":132049,"shortname":"10fgi","longname":"10 metre wind gust index","units":"Numeric","description":"This parameter indicates how extreme the ensemble forecast 10 metre wind gust is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that much stronger gusts are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very calm conditions are expected, relative to the model climate.
See more information about the EFI. See more information about the ensemble forecast.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"enfo","type":"efi","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efic","levtype":"sfc"},{"class":"od","stream":"enfo","type":"sot","levtype":"sfc"}]},{"id":132059,"shortname":"capei","longname":"Convective available potential energy index","units":"Numeric","description":"

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

High values of this parameter indicate where deep convection is more likely to occur, if it is initiated. When air rises through a large depth of the atmosphere, extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result. 

This parameter shows how extreme the ensemble forecast of convective available potential energy (CAPE) is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1. 

 

  • The closer the EFI is to +1 or -1, the more extreme the forecast CAPE values are.
  • EFI = 0 indicates that extreme CAPE values are unlikely, although convection can still occur.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high CAPE values are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low CAPE values are expected, relative to the model climate.

See more information about the EFI . See more information about the ensemble forecast .

To help determine whether deep, moist convection will be initiated or not, the probability forecast for precipitation (for example) can be used, in conjunction with this parameter.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"enfo","type":"efi","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efic","levtype":"sfc"},{"class":"od","stream":"enfo","type":"sot","levtype":"sfc"}]},{"id":132144,"shortname":"sfi","longname":"Snowfall index","units":"Numeric","description":"This parameter indicates how extreme the ensemble forecast accumulated total snowfall is relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that heavy snowfall is expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that little snowfall is expected, relative to the model climate.


This parameter is based on the accumulated total snow that has fallen to the Earth's surface. Snowfall is the sum of large-scale snowfall and convective snowfall. Large-scale snowfall is generated by the cloud scheme in the ECMWF Integrated Forecast System. The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective snowfall is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

See more information about the EFI. See more information about the ensemble forecast.","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"enfo","type":"efi","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efic","levtype":"sfc"},{"class":"od","stream":"enfo","type":"sot","levtype":"sfc"}]},{"id":132165,"shortname":"10wsi","longname":"10 metre speed index","units":"Numeric","description":"This parameter indicates how extreme the ensemble forecast 10 metre wind speed is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very windy conditions are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very calm conditions are expected, relative to the model climate.


See more information about the EFI. See more information about the ensemble forecast .

The 10 metre speed is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth.","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"enfo","type":"efi","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efic","levtype":"sfc"},{"class":"od","stream":"enfo","type":"sot","levtype":"sfc"}]},{"id":132167,"shortname":"2ti","longname":"2 metre temperature index","units":"Numeric","description":"This parameter indicates how extreme the ensemble forecast 2 metre temperature is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high temperatures are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low temperatures are expected, relative to the model climate.
See more information about the EFI. Seemore information about the ensemble forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"eefo","type":"efi","levtype":"sfc"},{"class":"od","stream":"eefo","type":"sot","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efi","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efic","levtype":"sfc"},{"class":"od","stream":"enfo","type":"sot","levtype":"sfc"}]},{"id":132201,"shortname":"mx2ti","longname":"Maximum temperature at 2 metres index","units":"Numeric","description":"This parameter indicates how extreme the ensemble forecast 2 metre maximum temperature is relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high maximum temperatures are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low maximum temperatures are expected, relative to the model climate.
Here, maximum temperature refers to the highest temperature of air at 2m above the surface of land, sea or in-land waters since the parameter was last archived in a particular forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"enfo","type":"efi","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efic","levtype":"sfc"},{"class":"od","stream":"enfo","type":"sot","levtype":"sfc"}]},{"id":132202,"shortname":"mn2ti","longname":"Minimum temperature at 2 metres index","units":"Numeric","description":"This parameter indicates how extreme the ensemble forecast 2 metre minimum temperature is relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high minimum temperatures are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low minimum temperatures are expected, relative to the model climate.
Here, maximum temperature refers to the highest temperature of air at 2m above the surface of land, sea or in-land waters since the parameter was last archived in a particular forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"enfo","type":"efi","levtype":"sfc"},{"class":"od","stream":"enfo","type":"efic","levtype":"sfc"},{"class":"od","stream":"enfo","type":"sot","levtype":"sfc"}]},{"id":132216,"shortname":"maxswhi","longname":"Maximum of significant wave height index","units":"Numeric","description":"This parameter indicates how extreme the significant wave height is relative to the model climate. It is part of the ECMWF Extreme Forecast Index (EFI). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 where all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high waves are expected, relative to the model climate.
  • EFI = -1 where all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very calm conditions are expected, relative to the model climate. See more information about the EFI. See more information about the ensemble forecast.


The significant wave height represents the average height of the highest third of surface ocean/sea waves, generated by local winds and associated with swell. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":132,"mars_request_context":[{"class":"od","stream":"waef","type":"efi","levtype":"sfc"},{"class":"od","stream":"waef","type":"efic","levtype":"sfc"},{"class":"od","stream":"waef","type":"sot","levtype":"sfc"}]},{"id":132228,"shortname":"tpi","longname":"Total precipitation index","units":"Numeric","description":"This parameter indicates how extreme the ensemble forecast total precipitation is relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very wet conditions are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very dry conditions are expected, relative to the model climate.
Note that, because precipitation cannot be less than zero, negative values of this parameter calculated for 24-hour (short-term) precipitation do not provide sensible information (typically a dry day is not extreme/unusual). For accumulation of precipitation over longer periods (10 to 15 days for example), negative values indicate extended periods of dry weather.

See more information about the EFI. 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flux","units":"N m**-2","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140102,"shortname":"vtaua","longname":"V-component of atmospheric surface momentum flux","units":"N m**-2","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140103,"shortname":"utauo","longname":"U-component of surface momentum flux into ocean","units":"N m**-2","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140104,"shortname":"vtauo","longname":"V-component of surface momentum flux into ocean","units":"N m**-2","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140105,"shortname":"wphio","longname":"Wave turbulent energy flux into ocean","units":"W m**-2","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140106,"shortname":"wdw1","longname":"Wave directional width of first swell partition","units":"radians","description":"","access_ids":[],"origin_ids":[0,98],"table":140,"mars_request_context":[]},{"id":140107,"shortname":"wfw1","longname":"Wave frequency width of first swell partition","units":"dimensionless","description":"","access_ids":[],"origin_ids":[0,98],"table":140,"mars_request_context":[]},{"id":140108,"shortname":"wdw2","longname":"Wave directional width of second swell partition","units":"radians","description":"","access_ids":[],"origin_ids":[0,98],"table":140,"mars_request_context":[]},{"id":140109,"shortname":"wfw2","longname":"Wave frequency width of second swell partition","units":"dimensionless","description":"","access_ids":[],"origin_ids":[0,98],"table":140,"mars_request_context":[]},{"id":140110,"shortname":"wdw3","longname":"Wave directional width of third swell partition","units":"radians","description":"","access_ids":[],"origin_ids":[0,98],"table":140,"mars_request_context":[]},{"id":140111,"shortname":"wfw3","longname":"Wave frequency width of third swell partition","units":"dimensionless","description":"","access_ids":[],"origin_ids":[0,98],"table":140,"mars_request_context":[]},{"id":140112,"shortname":"wefxm","longname":"Wave energy flux magnitude","units":"W m**-1","description":"This parameter is the amount of energy from ocean/sea waves which are generated by local winds and associated with swell. It is the magnitude of the energy flux per unit length of wave crest, also known as the wave power per unit length of wave crest.

In deep water, the wave energy flux magnitude can be estimated from the mean wave period and the significant wave height. In the ECMWF Integrated Forecasting System, it is calculated by integrating the full two-dimensional wave spectrum multiplied by the wave group velocity (the velocity of the envelope of a group of waves of nearly equal frequencies).","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140113,"shortname":"wefxd","longname":"Wave energy flux mean direction","units":"Degree true","description":"This parameter is the direction of the flux of energy of ocean/sea waves which are generated by local winds and associated with swell.

It is the spectral mean direction calculated by integrating the full two-dimensional wave energy spectrum multiplied by the wave group velocity (the velocity of the envelope of a group of waves of nearly equal frequencies).

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140114,"shortname":"h1012","longname":"Significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 10 and 12 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/12 and 1/10 hertz (i.e. periods between 10 and 12 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140115,"shortname":"h1214","longname":"Significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 12 and 14 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/14 and 1/12 hertz (i.e. periods between 12 and 14 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140116,"shortname":"h1417","longname":"Significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 14 and 17 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/17 and 1/14 hertz (i.e. periods between 14 and 17 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140117,"shortname":"h1721","longname":"Significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 17 and 21 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/21 and 1/17 hertz (i.e. periods between 17 and 21 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140118,"shortname":"h2125","longname":"Significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 21 and 25 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/25 and 1/21 hertz (i.e. periods between 21 and 25 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140119,"shortname":"h2530","longname":"Significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 25 and 30 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/30 and 1/25 hertz (i.e. periods between 25 and 30 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140120,"shortname":"sh10","longname":"Significant wave height of all waves with period larger than 10s","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves that have a period of longer than 10 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and over frequencies less than 0.1 hertz (i.e. periods longer than 10 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140121,"shortname":"swh1","longname":"Significant wave height of first swell partition","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves associated with the first swell partition. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the first might be from one system at one location and another system at the neighbouring location). See further information.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the first swell partition of the two-dimensional swell spectrum. The swell spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are not under the influence of the local wind.

This parameter can be used to assess swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140122,"shortname":"mwd1","longname":"Mean wave direction of first swell partition","units":"degrees","description":"This parameter is the mean direction of waves in the first swell partition.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the first swell partition might be from one system at one location and a different system at the neighbouring location). See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140123,"shortname":"mwp1","longname":"Mean wave period of first swell partition","units":"s","description":"This parameter is the mean period of waves in the first swell partition. The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the first swell partition might be from one system at one location and a different system at the neighbouring location). See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140124,"shortname":"swh2","longname":"Significant wave height of second swell partition","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves associated with the second swell partition. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the second might be from one system at one location and another system at the neighbouring location). See further information.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the first swell partition of the two-dimensional swell spectrum. The swell spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are not under the influence of the local wind.

This parameter can be used to assess swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140125,"shortname":"mwd2","longname":"Mean wave direction of second swell partition","units":"degrees","description":"This parameter is the mean direction of waves in the second swell partition.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the second swell partition might be from one system at one location and a different system at the neighbouring location). See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140126,"shortname":"mwp2","longname":"Mean wave period of second swell partition","units":"s","description":"This parameter is the mean period of waves in the second swell partition. The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the second swell partition might be from one system at one location and a different system at the neighbouring location). See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140127,"shortname":"swh3","longname":"Significant wave height of third swell partition","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves associated with the third swell partition. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the third might be from one system at one location and another system at the neighbouring location). See further information.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the first swell partition of the two-dimensional swell spectrum. The swell spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are not under the influence of the local wind.

This parameter can be used to assess swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140128,"shortname":"mwd3","longname":"Mean wave direction of third swell partition","units":"degrees","description":"This parameter is the mean direction of waves in the third swell partition.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the third swell partition might be from one system at one location and a different system at the neighbouring location). See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140129,"shortname":"mwp3","longname":"Mean wave period of third swell partition","units":"s","description":"This parameter is the mean period of waves in the third swell partition. The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the third swell partition might be from one system at one location and a different system at the neighbouring location). See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140131,"shortname":"tdcmax","longname":"Time domain maximum individual crest height","units":"m","description":"The detailed description of this parameter can be found in the appendix section of the following publication:\r\nFrancesco Barbariol, Jean-Raymond Bidlot, Luigi Cavaleri, Mauro Sclavo, Jim Thomson, Alvise Benetazzo\r\nmaximum wave heights from global model reanalysis\r\nProgress in Oceanography (IF4.08), Pub Date : 2019-07-01, DOI: 10.1016/j.pocean.2019.03.009\r\n \r\nSee equation 2.","access_ids":["dissemination"],"origin_ids":[0],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140132,"shortname":"tdhmax","longname":"Time domain maximum individual wave height","units":"m","description":"The detailed description of this parameter can be found in the appendix section of the following publication:\r\nFrancesco Barbariol, Jean-Raymond Bidlot, Luigi Cavaleri, Mauro Sclavo, Jim Thomson, Alvise Benetazzo\r\nmaximum wave heights from global model reanalysis\r\nProgress in Oceanography (IF4.08), Pub Date : 2019-07-01, DOI: 10.1016/j.pocean.2019.03.009\r\n \r\nSee equation 5.","access_ids":["dissemination"],"origin_ids":[0],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140133,"shortname":"stcmax","longname":"Space time maximum individual crest height","units":"m","description":"The detailed description of this parameter can be found in the appendix section of the following publication:\r\nFrancesco Barbariol, Jean-Raymond Bidlot, Luigi Cavaleri, Mauro Sclavo, Jim Thomson, Alvise Benetazzo\r\nmaximum wave heights from global model reanalysis\r\nProgress in Oceanography (IF4.08), Pub Date : 2019-07-01, DOI: 10.1016/j.pocean.2019.03.009\r\n \r\nSee equation 10.","access_ids":["dissemination"],"origin_ids":[0],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140134,"shortname":"sthmax","longname":"Space time maximum individual wave height","units":"m","description":"The detailed description of this parameter can be found in the appendix section of the following publication:\r\nFrancesco Barbariol, Jean-Raymond Bidlot, Luigi Cavaleri, Mauro Sclavo, Jim Thomson, Alvise Benetazzo\r\nmaximum wave heights from global model reanalysis\r\nProgress in Oceanography (IF4.08), Pub Date : 2019-07-01, DOI: 10.1016/j.pocean.2019.03.009\r\n \r\nSee equation 11.","access_ids":["dissemination"],"origin_ids":[0],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140135,"shortname":"pp1dw","longname":"Peak wave period of wind waves","units":"s","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140136,"shortname":"pp1ds","longname":"Peak wave period of total swell","units":"s","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140137,"shortname":"pp1d1","longname":"Peak wave period of first swell partition","units":"s","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140138,"shortname":"pp1d2","longname":"Peak wave period of second swell partition","units":"s","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140139,"shortname":"pp1d3","longname":"Peak wave period of third swell partition","units":"s","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140140,"shortname":"pwd","longname":"Peak wave direction (total)","units":"Degree true","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140141,"shortname":"pwdw","longname":"Peak wave direction of wind waves","units":"Degree true","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140142,"shortname":"pwds","longname":"Peak wave direction of total swell","units":"Degree true","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140143,"shortname":"pwd1","longname":"Peak wave direction of first swell partition","units":"Degree true","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140144,"shortname":"pwd2","longname":"Peak wave direction of second swell partition","units":"Degree true","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140145,"shortname":"pwd3","longname":"Peak wave direction of third swell partition","units":"Degree true","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140146,"shortname":"wcfr","longname":"Whitecap fraction","units":"Fraction","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140147,"shortname":"bfi2d","longname":"Benjamin-Feir index 2D","units":"Numeric","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140148,"shortname":"ctc","longname":"Crest-trough correlation","units":"Numeric","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140149,"shortname":"xwrs","longname":"X component of the wave radiative stress to sea ice","units":"N m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140150,"shortname":"ywrs","longname":"Y component of the wave radiative stress to sea ice","units":"N m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":140,"mars_request_context":[]},{"id":140200,"shortname":"maxswh","longname":"Maximum of significant wave height","units":"m","description":"This parameter is used to give the significant wave height climate distribution as obtained from the wave ensemble forecast hindcast runs","access_ids":[],"origin_ids":[98],"table":140,"mars_request_context":[{"class":"od","stream":"wehs","type":"cd","levtype":"sfc"}]},{"id":140207,"shortname":"wss","longname":"Wave Spectral Skewness","units":"Numeric","description":"This parameter is a statistical measure used to forecast extreme or freak ocean/sea waves. It describes the nature of the sea surface elevation and how it is affected by waves generated by local winds and associated with swell.

Under typical conditions, the sea surface elevation, as described by its probability density function, has a near normal distribution in the statistical sense. However, under certain wave conditions the probability density function of the sea surface elevation can deviate considerably from normality, signalling increased probability of freak waves.

This parameter gives one measure of the deviation from normality. It is a measure of the asymmetry of the probability density function of the sea surface elevation. So, a positive/negative skewness (typical range -0.2 to 0.12) means more frequent occurrences of extreme values above/below the mean, relative to a normal distribution.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140208,"shortname":"wstar","longname":"Free convective velocity over the oceans","units":"m s**-1","description":"This parameter is an estimate of the vertical velocity of updraughts generated by free convection. Free convection is fluid motion induced by buoyancy forces, which are driven by density gradients. The free convective velocity is used to estimate the impact of wind gusts on ocean wave growth.

It is calculated at the height of the lowest temperature inversion (the height above the surface of the Earth where the temperature increases with height).

This parameter is one of the parameters used to force the wave model, therefore it is only calculated over water bodies represented in the ocean wave model. It is interpolated from the atmospheric model horizontal grid onto the horizontal grid used by the ocean wave model.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140209,"shortname":"rhoao","longname":"Air density over the oceans","units":"kg m**-3","description":"This parameter is the mass of air per cubic metre over the oceans, derived from the temperature, specific humidity and pressure at the lowest model level in the atmospheric model.

This parameter is one of the parameters used to force the wave model, therefore it is only calculated over water bodies represented in the ocean wave model. It is interpolated from the atmospheric model horizontal grid onto the horizontal grid used by the ocean wave model.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140210,"shortname":"mswsi","longname":"Mean square wave strain in sea ice","units":"~","description":"When waves propagate into a sea ice field, they generate mechanical strain\nonto the floating ice sheets. This can be estimated in mean square sense by computing\nthe following integral over frequency (f):
\nInt {F(f) E(f)^2 df},
\nwhere
\nF(f) is the frequency wave spectrum.
\nE(f) is the strain in the ice:
\nE(f) = h k_ice^3 / (2k)
\nwith h the ice thickness, k the wave number in the water, k_ice is the wave number under the ice.","access_ids":[],"origin_ids":[98],"table":140,"mars_request_context":[]},{"id":140211,"shortname":"phiaw","longname":"Normalized energy flux into waves","units":"Numeric","description":"This parameter is the normalised vertical flux of energy from wind into the ocean waves. A positive flux implies a flux into the waves.

The energy flux has units of Watts per metre squared, and this is normalised by being divided by the product of air density and the cube of the friction velocity.\n
Parameters are normalised by being divided by the product of air density and the square of the friction velocity.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"}]},{"id":140212,"shortname":"phioc","longname":"Normalized energy flux into ocean","units":"Numeric","description":"This parameter is the normalised vertical flux of turbulent kinetic energy from ocean waves into the ocean. The energy flux is calculated from an estimation of white capping waves across the surface of the ocean. A white capping wave is one that appears white at its crest as it breaks, due to air being mixed into the water. When waves break in this way, there is a transfer of energy from the waves to the ocean. A negative flux implies a flux from the waves into the ocean.

The energy flux has units of Watts per metre squared, and this is normalised by being divided by the product of air density and the cube of the friction velocity.\n
Parameters are normalised by being divided by the product of air density and the square of the friction velocity.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"}]},{"id":140213,"shortname":"tla","longname":"Turbulent Langmuir number","units":"~","description":"Square root of the ratio of friction velocity to the surface Stokes drift.\nThis parameter is currently not produced.","access_ids":[],"origin_ids":[98],"table":140,"mars_request_context":[]},{"id":140214,"shortname":"tauoc","longname":"Normalized stress into ocean","units":"Numeric","description":"This parameter is the normalised surface stress, or momentum flux, from the air into the ocean due to turbulence at the air-sea interface and breaking waves. It does not include the flux used to generate waves. The ECMWF convention for vertical fluxes is positive downwards.

The stress has units of Newtons per metre squared, and this is normalised by being divided by the product of air density and the square of the friction velocity.\n
Parameters are normalised by being divided by the product of air density and the square of the friction velocity.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"}]},{"id":140215,"shortname":"ust","longname":"U-component surface stokes drift","units":"m s**-1","description":"This parameter is the eastward component of the surface Stokes drift. The Stokes drift is the net drift velocity due to surface wind waves. It is confined to the upper few metres of the ocean water column, with the largest value at the surface.

For example, a fluid particle near the surface will slowly move in the direction of wave propagation.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140216,"shortname":"vst","longname":"V-component surface stokes drift","units":"m s**-1","description":"This parameter is the northward component of the surface Stokes drift. The Stokes drift is the net drift velocity due to surface wind waves. It is confined to the upper few metres of the ocean water column, with the largest value at the surface.

For example, a fluid particle near the surface will slowly move in the direction of wave propagation.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140217,"shortname":"tmax","longname":"Period corresponding to maximum individual wave height","units":"s","description":"This parameter is the period of the expected highest individual wave within a 20-minute time window. It can be used as a guide to the characteristics of extreme or freak waves. Wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

Occasionally waves of different periods reinforce and interact non-linearly giving a wave height considerably larger than the significant wave height. If the maximum individual wave height is more than twice the significant wave height, then the wave is considered to be a freak wave. The significant wave height represents the average height of the highest third of surface ocean/sea waves, generated by local winds and associated with swell.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived statistically from the two-dimensional wave spectrum. See further information.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140218,"shortname":"hmax","longname":"Envelop-maximum individual wave height","units":"m","description":"

This parameter is an estimate of the height of the expected highest individual wave within a 20 minute time window. It can be used as a guide to the likelihood of extreme or freak waves.

The interactions between waves are non-linear and occasionally concentrate wave energy giving a wave height considerably larger than the significant wave height. If the maximum individual wave height is more than twice the significant wave height, then the wave is considered as a freak wave. The significant wave height represents the average height of the highest third of surface ocean/sea waves, generated by local winds and associated with swell. 

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived statistically from the two-dimensional wave spectrum. See further information.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140219,"shortname":"wmb","longname":"Model bathymetry","units":"m","description":"This parameter is the depth of water from the surface to the bottom of the ocean. It is used by the ocean wave model to specify the propagation properties of the different waves that could be present.

Note that the ocean wave model grid is too coarse to resolve some small islands and mountains on the bottom of the ocean, but they can have an impact on surface ocean waves. The ocean wave model has been modified to reduce the wave energy flowing around or over features at spatial scales smaller than the grid box.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140220,"shortname":"mp1","longname":"Mean wave period based on first moment","units":"s","description":"This parameter is the reciprocal of the mean frequency of the wave components that represent the sea state. All wave components have been averaged proportionally to their respective amplitude. This parameter can be used to estimate the magnitude of Stokes drift transport in deep water.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). Moments are statistical quantities derived from the two-dimensional wave spectrum.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140221,"shortname":"mp2","longname":"Mean zero-crossing wave period","units":"s","description":"This parameter represents the mean length of time between occasions where the sea/ocean surface crosses mean sea level. In combination with wave height information, it could be used to assess the length of time that a coastal structure might be under water, for example.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). In the ECMWF Integrated Forecasting System this parameter is calculated from the characteristics of the two-dimensional wave spectrum.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140222,"shortname":"wdw","longname":"Wave spectral directional width","units":"radians","description":"This parameter indicates whether waves (generated by local winds and associated with swell) are coming from similar directions or from a wide range of directions.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). Many ECMWF wave parameters (such as the mean wave period) give information averaged over all wave frequencies and directions, so do not give any information about the distribution of wave energy across frequencies and directions. This parameter gives more information about the nature of the two-dimensional wave spectrum. This parameter is a measure of the range of wave directions for each frequency integrated across the two-dimensional spectrum.

This parameter takes values between 0 and the square root of 2. Where 0 corresponds to a uni-directional spectrum (i.e., all wave frequencies from the same direction) and the square root of 2 indicates a uniform spectrum (i.e., all wave frequencies from a different direction).","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140223,"shortname":"p1ww","longname":"Mean wave period based on first moment for wind waves","units":"s","description":"This parameter is the reciprocal of the mean frequency of the wave components generated by local winds. All wave components have been averaged proportionally to their respective amplitude. This parameter can be used to estimate the magnitude of Stokes drift transport in deep water associated with wind waves.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.This parameter takes account of wind-sea waves only. Moments are statistical quantities derived from the two-dimensional wave spectrum.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140224,"shortname":"p2ww","longname":"Mean wave period based on second moment for wind waves","units":"s","description":"This parameter is equivalent to the zero-crossing mean wave period for waves generated by local winds. The zero-crossing mean wave period represents the mean length of time between occasions where the sea/ocean surface crosses a defined zeroth level (such as mean sea level).

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. Moments are statistical quantities derived from the two-dimensional wave spectrum.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140225,"shortname":"dwww","longname":"Wave spectral directional width for wind waves","units":"radians","description":"This parameter indicates whether waves generated by the local wind are coming from similar directions or from a wide range of directions.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of wind-sea waves only.

Many ECMWF wave parameters (such as the mean wave period) give information averaged over all wave frequencies and directions, so do not give any information about the distribution of wave energy across frequencies and directions. This parameter gives more information about the nature of the two-dimensional wave spectrum. This parameter is a measure of the range of wave directions for each frequency integrated across the two-dimensional spectrum.

This parameter takes values between 0 and the square root of 2. Where 0 corresponds to a uni-directional spectrum (i.e., all wave frequencies from the same direction) and the square root of 2 indicates a uniform spectrum (i.e., all wave frequencies from a different direction).","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140226,"shortname":"p1ps","longname":"Mean wave period based on first moment for swell","units":"s","description":"This parameter is the reciprocal of the mean frequency of the wave components associated with swell. All wave components have been averaged proportionally to their respective amplitude. This parameter can be used to estimate the magnitude of Stokes drift transport in deep water associated with swell.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.This parameter takes account of all swell only. Moments are statistical quantities derived from the two-dimensional wave spectrum.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140227,"shortname":"p2ps","longname":"Mean wave period based on second moment for swell","units":"s","description":"This parameter is equivalent to the zero-crossing mean wave period for swell. The zero-crossing mean wave period represents the mean length of time between occasions where the sea/ocean surface crosses a defined zeroth level (such as mean sea level).

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. Moments are statistical quantities derived from the two-dimensional wave spectrum.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140228,"shortname":"dwps","longname":"Wave spectral directional width for swell","units":"radians","description":"This parameter indicates whether waves associated with swell are coming from similar directions or from a wide range of directions.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of all swell only.

Many ECMWF wave parameters (such as the mean wave period) give information averaged over all wave frequencies and directions, so do not give any information about the distribution of wave energy across frequencies and directions. This parameter gives more information about the nature of the two-dimensional wave spectrum. This parameter is a measure of the range of wave directions for each frequency integrated across the two-dimensional spectrum.

This parameter takes values between 0 and the square root of 2. Where 0 corresponds to a uni-directional spectrum (i.e., all wave frequencies from the same direction) and the square root of 2 indicates a uniform spectrum (i.e., all wave frequencies from a different direction).","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140229,"shortname":"swh","longname":"Significant height of combined wind waves and swell","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum).

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140230,"shortname":"mwd","longname":"Mean wave direction","units":"Degree true","description":"This parameter is the mean direction of ocean/sea surface waves. The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is a mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use this type of wave information when designing structures in the open ocean, such as oil platforms, or in coastal applications.

The units are degree true which means the direction relative to the geographic location of the north pole. Zero means 'coming from the north' and 90 'coming from the east'.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140231,"shortname":"pp1d","longname":"Peak wave period","units":"s","description":"This parameter represents the period of the most energetic ocean waves generated by local winds and associated with swell. The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is calculated from the reciprocal of the frequency corresponding to the largest value (peak) of the frequency wave spectrum. The frequency wave spectrum is obtained by integrating the two-dimensional wave spectrum over all directions.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140232,"shortname":"mwp","longname":"Mean wave period","units":"s","description":"This parameter is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point. The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is a mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use such wave information when designing structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140233,"shortname":"cdww","longname":"Coefficient of drag with waves","units":"dimensionless","description":"This parameter is the resistance that ocean waves exert on the atmosphere. It is sometimes also called a 'friction coefficient'.

It is calculated by the wave model as the ratio of the square of the friction velocity, to the square of the neutral wind speed at a height of 10 metres above the surface of the Earth.

The neutral wind is calculated from the surface stress and the corresponding roughness length by assuming that the air is neutrally stratified. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on the sea state.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"ai","stream":"waef","type":"cf","levtype":"sfc"},{"class":"ai","stream":"waef","type":"pf","levtype":"sfc"},{"class":"ai","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140234,"shortname":"shww","longname":"Significant height of wind waves","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves generated by the local wind. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of wind-sea waves only.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the two-dimensional wind-sea wave spectrum. The wind-sea wave spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are still under the influence of the local wind. See further documentation.

This parameter can be used to assess wind-sea waves. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140235,"shortname":"mdww","longname":"Mean direction of wind waves","units":"degrees","description":"The mean direction of waves generated by local winds.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.This parameter takes account of wind-sea waves only. It is the mean over all frequencies and directions of the total wind-sea wave spectrum. See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140236,"shortname":"mpww","longname":"Mean period of wind waves","units":"s","description":"This parameter is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea generated by local winds, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of wind-sea waves only. It is the mean over all frequencies and directions of the total wind-sea spectrum. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140237,"shortname":"shts","longname":"Significant height of total swell","units":"m","description":"This parameter represents the average height of the highest third of surface ocean/sea waves associated with swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of total swell only.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the two-dimensional total swell spectrum. The total swell spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are not under the influence of the local wind. See further documentation.

This parameter can be used to assess swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140238,"shortname":"mdts","longname":"Mean direction of total swell","units":"degrees","description":"This parameter is the mean direction of waves associated with swell.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.This parameter takes account of all swell only. It is the mean over all frequencies and directions of the total swell spectrum. See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140239,"shortname":"mpts","longname":"Mean period of total swell","units":"s","description":"This parameter is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea associated with swell, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of all swell only. It is the mean over all frequencies and directions of the total swell spectrum. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140240,"shortname":"sdhs","longname":"Standard deviation wave height","units":"m","description":"

Used only for post processed wave climate fields before ERA-interim.

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":140,"mars_request_context":[]},{"id":140241,"shortname":"mu10","longname":"Mean of 10 metre wind speed","units":"m s**-1","description":"

Used only for post processed wave climate fields before ERA-interim.

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":140,"mars_request_context":[]},{"id":140242,"shortname":"mdwi","longname":"Mean wind direction","units":"degrees","description":"

Used only for post processed wave climate fields before ERA-interim.

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":140,"mars_request_context":[]},{"id":140243,"shortname":"sdu","longname":"Standard deviation of 10 metre wind speed","units":"m s**-1","description":"

Used only for post processed wave climate fields before ERA-interim.

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":140,"mars_request_context":[]},{"id":140244,"shortname":"msqs","longname":"Mean square slope of waves","units":"dimensionless","description":"This parameter can be related analytically to the average slope of combined wind-sea and swell waves. It can also be expressed as a function of wind speed under some statistical assumptions. The higher the slope, the steeper the waves. This parameter indicates the roughness of the sea/ocean surface which affects the interaction between ocean and atmosphere. See further information.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived statistically from the two-dimensional wave spectrum.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140245,"shortname":"wind","longname":"10 metre wind speed","units":"m s**-1","description":"This parameter is the horizontal speed of the 'neutral wind', at a height of ten metres above the surface of the Earth. The units of this parameter are metres per second.

The neutral wind is calculated from the surface stress and the corresponding roughness length by assuming that the air is neutrally stratified. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on sea state.

This parameter is the wind speed used to force the wave model, therefore it is only calculated over water bodies represented in the ocean wave model. It is interpolated from the atmospheric model's horizontal grid onto the horizontal grid used by the ocean wave model. ","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enwh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"swmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weef","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"weeh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140246,"shortname":"awh","longname":"Altimeter wave height","units":"m","description":" Gridded altimeter wave height data as presented to the wave model data assimilation scheme. This parameter only exists as type analysis.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"}]},{"id":140247,"shortname":"acwh","longname":"Altimeter corrected wave height","units":"m","description":" Gridded bias corrected altimeter wave height data as presented to the wave model data assimilation scheme. This parameter only exists as type analysis.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"}]},{"id":140248,"shortname":"arrc","longname":"Altimeter range relative correction","units":"~","description":"Gridded altimeter range correction as determined from the wave model.
This parameter only exists as type analysis.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"}]},{"id":140249,"shortname":"dwi","longname":"10 metre wind direction","units":"degrees","description":"This parameter is the direction from which the 'neutral wind' blows, in degrees clockwise from true north, at a height of ten metres above the surface of the Earth.

The neutral wind is calculated from the surface stress and roughness length by assuming that the air is neutrally stratified. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on the sea state.

This parameter is the wind direction used to force the wave model, therefore it is only calculated over water bodies represented in the ocean wave model. It is interpolated from the atmospheric model's horizontal grid onto the horizontal grid used by the ocean wave model.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wasf","type":"fc","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140250,"shortname":"2dsp","longname":"2D wave spectra (multiple)","units":"m**2 s radian**-1","description":"This parameter has not been used since 1998. It has been replaced by 2D wave spectra (single)","access_ids":[],"origin_ids":[98],"table":140,"mars_request_context":[]},{"id":140251,"shortname":"2dfd","longname":"2D wave spectra (single)","units":"m**2 s radian**-1","description":"The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter represents the wave energy for each frequency and direction at each model grid point i.e., it describes the contribution to the frequency and direction of the two-dimensional wave spectrum.

Strictly, this parameter is the base ten logarithm of the spectral density of ocean waves in two dimensions (across the horizontal surface of the ocean). Therefore, all values (except missing data) need to be raised to the power of ten to give the spectral density. 'Missing data' is indicated by a value of 0. The spectral density describes the combination of waves with different heights, lengths and directions. See further documentation.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140252,"shortname":"wsk","longname":"Wave spectral kurtosis","units":"dimensionless","description":"This parameter is a statistical measure used to forecast extreme or freak ocean/sea waves. It describes the nature of the sea surface elevation and how it is affected by waves generated by local winds and associated with swell.

Under typical conditions, the sea surface elevation, as described by its probability density function, has a near normal distribution in the statistical sense. However, under certain wave conditions the probability density function of the sea surface elevation can deviate considerably from normality, signalling increased probability of freak waves.

This parameter gives one measure of the deviation from normality. It shows how much of the probability density function of the sea surface elevation exists in the tails of the distribution. So, a positive kurtosis (typical range 0.0 to 0.06) means more frequent occurrences of very extreme values (either above or below the mean), relative to a normal distribution.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140253,"shortname":"bfi","longname":"Benjamin-Feir index","units":"dimensionless","description":"This parameter is used to calculate the likelihood of freak ocean waves, which are waves that are higher than twice the mean height of the highest third of waves. Large values of this parameter (in practice of the order 1) indicate increased probability of the occurrence of freak waves.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the statistics of the two-dimensional wave spectrum. More precisely, it is the square of the ratio of the integral ocean wave steepness and the relative width of the frequency spectrum of the waves.

Further information on the calculation of this parameter is given in Section 10.6 of the ECMWF Wave Model documentation.","access_ids":["dissemination"],"origin_ids":[0,98],"table":140,"mars_request_context":[{"class":"od","stream":"enwh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enwh","type":"pf","levtype":"sfc"},{"class":"od","stream":"ewla","type":"4v","levtype":"sfc"},{"class":"od","stream":"ewla","type":"an","levtype":"sfc"},{"class":"od","stream":"ewla","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"an","levtype":"sfc"},{"class":"od","stream":"lwwv","type":"fc","levtype":"sfc"},{"class":"od","stream":"waef","type":"pf","levtype":"sfc"},{"class":"od","stream":"wave","type":"4v","levtype":"sfc"},{"class":"od","stream":"wave","type":"an","levtype":"sfc"},{"class":"od","stream":"wave","type":"fc","levtype":"sfc"},{"class":"od","stream":"weef","type":"cf","levtype":"sfc"},{"class":"od","stream":"weef","type":"pf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"cf","levtype":"sfc"},{"class":"od","stream":"weeh","type":"pf","levtype":"sfc"}]},{"id":140254,"shortname":"wsp","longname":"Wave spectral peakedness","units":"dimensionless","description":"This parameter is a statistical measure used to forecast extreme or freak waves. It is a measure of the relative width of the ocean/sea wave frequency spectrum (i.e., whether the ocean/sea wave field is made up of a narrow or broad range of frequencies).

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). When the wave field is more focussed around a narrow range of frequencies, the probability of freak/extreme waves increases.

This parameter is Goda's peakedness factor and is used to calculate the Benjamin-Feir Index (BFI). The BFI is in turn used to estimate the probability and nature of extreme/freak 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This parameter can be combined with the eastward sea water velocity to give the speed and direction of the sea water.

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The average value of each component over a specified forecast period (e.g. 24 hours) is computed using the instantaneous values from each output forecast step; these are then combined to make the total wvf, which is then used to compute the model climate and the Extreme Forecast Index (EFI) for Water Vapour Flux (wvfi)","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"}]},{"id":162046,"shortname":"vire","longname":"Total column vertically-integrated eastward rain flux","units":"kg m**-1 s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162047,"shortname":"virn","longname":"Total column vertically-integrated northward rain flux","units":"kg m**-1 s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162048,"shortname":"vise","longname":"Total column vertically-integrated eastward snow flux","units":"kg m**-1 s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162049,"shortname":"visn","longname":"Total column vertically-integrated northward snow flux","units":"kg m**-1 s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162050,"shortname":"vions","longname":"Total column vertically-integrated net source of ozone","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162051,"shortname":"~","longname":"Surface geopotential","units":"m**2 s**-2","description":null,"access_ids":[],"origin_ids":[-80,98],"table":162,"mars_request_context":[]},{"id":162053,"shortname":"vima","longname":"Total column vertically-integrated mass of atmosphere","units":"kg m**-2","description":"This parameter is the total mass of air for a column extending from the surface of the Earth to the top of the atmosphere, per square metre.

This parameter is calculated by dividing surface pressure by the Earth's gravitational acceleration, g (=9.80665 m s-2), and has units of kilograms per square metre.

This parameter can be used to study the atmospheric mass budget. See further information.","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162054,"shortname":"vit","longname":"Total column vertically-integrated temperature","units":"K kg m**-2","description":"

This parameter is the mass-weighted vertical integral of temperature for a column of air extending from the surface of the Earth to the top of the atmosphere.

This parameter can be used to study the atmospheric energy budget. See further documentation.

","access_ids":[],"origin_ids":[-80,98],"table":162,"mars_request_context":[]},{"id":162055,"shortname":"viwv","longname":"Total column vertically-integrated water vapour","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162056,"shortname":"vilw","longname":"Total column vertically-integrated cloud liquid water","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[-80,98],"table":162,"mars_request_context":[]},{"id":162057,"shortname":"viiw","longname":"Total column vertically-integrated cloud frozen water","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[-80,98],"table":162,"mars_request_context":[]},{"id":162058,"shortname":"vioz","longname":"Total column vertically-integrated ozone","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[-80,98],"table":162,"mars_request_context":[]},{"id":162059,"shortname":"vike","longname":"Total column vertically-integrated kinetic energy","units":"J m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162060,"shortname":"vithe","longname":"Total column vertically-integrated enthalpy","units":"J m**-2","description":"This parameter is the mass-weighted vertical integral of thermal energy for a column of air extending from the surface of the Earth to the top of the atmosphere. Thermal energy is calculated from the product of temperature and the specific heat capacity of air at constant pressure.

The thermal energy is equal to enthalpy, which is the sum of the internal energy and the energy associated with the pressure of the air on its surroundings.

Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy. The energy associated with the pressure of the air on its surroundings is the energy required to make room for the system by displacing its surroundings and is calculated from the product of pressure and volume.

This parameter can be used to study the atmospheric energy budget.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy. See further documentation.","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162061,"shortname":"vipie","longname":"Total column vertically-integrated potential + internal energy","units":"J m**-2","description":"This parameter is the mass weighted vertical integral of potential and internal energy for a column of air extending from the surface of the Earth to the top of the atmosphere.

The potential energy of an air parcel is the amount of work that would have to be done, against the force of gravity, to lift the air to that location from mean sea level. Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy.

This parameter can be used to study the atmospheric energy budget.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy. See further documentation.","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162062,"shortname":"vipile","longname":"Total column vertically-integrated potential+internal+latent energy","units":"J m**-2","description":"This parameter is the mass weighted vertical integral of potential, internal and latent energy for a column of air extending from the surface of the Earth to the top of the atmosphere.

The potential energy of an air parcel is the amount of work that would have to be done, against the force of gravity, to lift the air to that location from mean sea level. Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy.

The latent energy refers to the energy associated with the water vapour in the atmosphere and is equal to the energy required to convert liquid water into water vapour.

This parameter can be used to study the atmospheric energy budget.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy. See further documentation.","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162063,"shortname":"vitoe","longname":"Total column vertically-integrated total energy","units":"J m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162064,"shortname":"viec","longname":"Total column vertically-integrated energy conversion","units":"W m**-2","description":"This parameter is one contribution to the amount of energy being converted between kinetic energy, and internal plus potential energy, for a column of air extending from the surface of the Earth to the top of the atmosphere. Negative values indicate a conversion to kinetic energy from potential plus internal energy.

This parameter can be used to study the atmospheric energy budget. The circulation of the atmosphere can also be considered in terms of energy conversions.

See further documentation.","access_ids":[],"origin_ids":[-80,98],"table":162,"mars_request_context":[]},{"id":162065,"shortname":"vimae","longname":"Total column vertically-integrated eastward mass flux","units":"kg m**-1 s**-1","description":"

This parameter is the horizontal rate of flow of mass, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

This parameter can be used to study the atmospheric mass and energy budgets. See further information.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162066,"shortname":"viman","longname":"Total column vertically-integrated northward mass flux","units":"kg m**-1 s**-1","description":"

This parameter is the horizontal rate of flow of mass, in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

This parameter can be used to study the atmospheric mass and energy budgets. See further information.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162067,"shortname":"vikee","longname":"Total column vertically-integrated eastward kinetic energy flux","units":"W m**-1","description":"

This parameter is the horizontal rate of flow of kinetic energy, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

Atmospheric kinetic energy is the energy of the atmosphere due to its motion. Only horizontal motion is considered in the calculation of this parameter.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162068,"shortname":"viken","longname":"Total column vertically-integrated northward kinetic energy flux","units":"W m**-1","description":"

This parameter is the horizontal rate of flow of kinetic energy, in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

Atmospheric kinetic energy is the energy of the atmosphere due to its motion. Only horizontal motion is considered in the calculation of this parameter.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162069,"shortname":"vithee","longname":"Total column vertically-integrated eastward heat flux","units":"W m**-1","description":"This parameter is the horizontal rate of flow of heat in the eastward direction, per meter across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

Heat (or thermal energy) is equal to enthalpy, which is the sum of the internal energy and the energy associated with the pressure of the air on its surroundings.

Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy. The energy associated with the pressure of the air on its surroundings is the energy required to make room for the system by displacing its surroundings and is calculated from the product of pressure and volume.

This parameter can be used to study the atmospheric energy budget.

See further documentation.","access_ids":[],"origin_ids":[0,34,98],"table":162,"mars_request_context":[]},{"id":162070,"shortname":"vithen","longname":"Total column vertically-integrated northward heat flux","units":"W m**-1","description":"This parameter is the horizontal rate of flow of heat in the northward direction, per meter across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

Heat (or thermal energy) is equal to enthalpy, which is the sum of the internal energy and the energy associated with the pressure of the air on its surroundings.

Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy. The energy associated with the pressure of the air on its surroundings is the energy required to make room for the system by displacing its surroundings and is calculated from the product of pressure and volume.

This parameter can be used to study the atmospheric energy budget.

See further documentation.","access_ids":[],"origin_ids":[0,34,98],"table":162,"mars_request_context":[]},{"id":162071,"shortname":"viwve","longname":"Total column vertically-integrated eastward water vapour flux","units":"kg m**-1 s**-1","description":"This parameter is the horizontal rate of flow of water vapour, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.","access_ids":["dissemination"],"origin_ids":[0,34,98],"table":162,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":162072,"shortname":"viwvn","longname":"Total column vertically-integrated northward water vapour flux","units":"kg m**-1 s**-1","description":"This parameter is the horizontal rate of flow of water vapour, in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.","access_ids":["dissemination"],"origin_ids":[0,34,98],"table":162,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":162073,"shortname":"vige","longname":"Total column vertically-integrated eastward geopotential flux","units":"W m**-1","description":null,"access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162074,"shortname":"vign","longname":"Total column vertically-integrated northward geopotential flux","units":"W m**-1","description":"

This parameter is the horizontal rate of flow of geopotential in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

Geopotential is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. It is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

This parameter can be used to study the atmospheric energy budget. See further information.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162075,"shortname":"vitee","longname":"Total column vertically-integrated eastward total energy flux","units":"W m**-1","description":"

This parameter is the horizontal rate of flow of total energy in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162076,"shortname":"viten","longname":"Total column vertically-integrated northward total energy flux","units":"W m**-1","description":"

This parameter is the horizontal rate of flow of total energy in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162077,"shortname":"vioze","longname":"Total column vertically-integrated eastward ozone flux","units":"kg m**-1 s**-1","description":"

This parameter is the horizontal rate of flow of ozone in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values denote a flux from west to east.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including a representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162078,"shortname":"viozn","longname":"Total column vertically-integrated northward ozone flux","units":"kg m**-1 s**-1","description":"

This parameter is the horizontal rate of flow of ozone in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values denote a flux from south to north.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including a representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air.See further documentation.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162079,"shortname":"vilwd","longname":"Total column vertically-integrated divergence of cloud liquid water flux","units":"kg m**-2 s**-1","description":"

The vertical integral of the cloud liquid water flux is the horizontal rate of flow of cloud liquid water, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of cloud liquid water spreading outward from a point, per square metre. This parameter is positive for cloud liquid water that is spreading out, or diverging, and negative for the opposite, for cloud liquid water that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of cloud liquid water.

","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162080,"shortname":"viiwd","longname":"Total column vertically-integrated divergence of cloud frozen water flux","units":"kg m**-2 s**-1","description":"The vertical integral of the cloud frozen water flux is the horizontal rate of flow of cloud frozen water, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of cloud frozen water spreading outward from a point, per square metre. This parameter is positive for cloud frozen water that is spreading out, or diverging, and negative for the opposite, for cloud frozen water that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of cloud frozen water.

Note that 'cloud frozen water' is the same as 'cloud ice water'.","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162081,"shortname":"vimad","longname":"Total column vertically-integrated divergence of mass flux","units":"kg m**-2 s**-1","description":"

The vertical integral of the mass flux is the horizontal rate of flow of mass, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of mass spreading outward from a point, per square metre.

This parameter is positive for mass that is spreading out, or diverging, and negative for the opposite, for mass that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of mass.

This parameter can be used to study the atmospheric mass and energy budgets. See further information.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162082,"shortname":"viked","longname":"Total column vertically-integrated divergence of kinetic energy flux","units":"W m**-2","description":"

The vertical integral of the kinetic energy flux is the horizontal rate of flow of kinetic energy, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of kinetic energy spreading outward from a point, per square metre. This parameter is positive for kinetic energy that is spreading out, or diverging, and negative for the opposite, for kinetic energy that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of kinetic energy.

Atmospheric kinetic energy is the energy of the atmosphere due to its motion. Only horizontal motion is considered in the calculation of this parameter.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162083,"shortname":"vithed","longname":"Total column vertically-integrated divergence of thermal energy flux","units":"W m**-2","description":"The vertical integral of the thermal energy flux is the horizontal rate of flow of thermal energy, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of thermal energy spreading outward from a point, per square metre. This parameter is positive for thermal energy that is spreading out, or diverging, and negative for the opposite, for thermal energy that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of thermal energy.

The thermal energy is equal to enthalpy, which is the sum of the internal energy and the energy associated with the pressure of the air on its surroundings.

Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy. The energy associated with the pressure of the air on its surroundings is the energy required to make room for the system by displacing its surroundings and is calculated from the product of pressure and volume.

This parameter can be used to study the flow of thermal energy through the climate system and to investigate the atmospheric energy budget.","access_ids":[],"origin_ids":[-80,98],"table":162,"mars_request_context":[]},{"id":162084,"shortname":"vimdf","longname":"Total column vertically-integrated moisture divergence flux","units":"kg m**-2 s**-1","description":"

The vertical integral of the moisture flux is the horizontal rate of flow of moisture, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of moisture spreading outward from a point, per square metre.

This parameter is positive for moisture that is spreading out, or diverging, and negative for the opposite, for moisture that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of moisture.

","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162085,"shortname":"vigd","longname":"Total column vertically-integrated divergence of geopotential flux","units":"W m**-2","description":"

The vertical integral of the geopotential flux is the horizontal rate of flow of geopotential, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of geopotential spreading outward from a point, per square metre.

This parameter is positive for geopotential that is spreading out, or diverging, and negative for the opposite, for geopotential that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of geopotential.

Geopotential is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. It is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

This parameter can be used to study the atmospheric energy budget. See further information.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162086,"shortname":"vited","longname":"Total column vertically-integrated divergence of total energy flux","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162087,"shortname":"viozd","longname":"Total column vertically-integrated divergence of ozone flux","units":"kg m**-2 s**-1","description":"

The vertical integral of the ozone flux is the horizontal rate of flow of ozone, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of ozone spreading outward from a point, per square metre. This parameter is positive for ozone that is spreading out, or diverging, and negative for the opposite, for ozone that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of ozone.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including a representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air.See further documentation.

","access_ids":[],"origin_ids":[-80,0,98],"table":162,"mars_request_context":[]},{"id":162088,"shortname":"vilwe","longname":"Total column vertically-integrated eastward cloud liquid water flux","units":"kg m**-1 s**-1","description":"

This parameter is the horizontal rate of flow of cloud liquid water, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162089,"shortname":"vilwn","longname":"Total column vertically-integrated northward cloud liquid water flux","units":"kg m**-1 s**-1","description":"","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162090,"shortname":"viiwe","longname":"Total column vertically-integrated eastward cloud frozen water flux","units":"kg m**-1 s**-1","description":"This parameter is the horizontal rate of flow of cloud frozen water, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

Note that 'cloud frozen water' is the same as 'cloud ice water'.","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162091,"shortname":"viiwn","longname":"Total column vertically-integrated northward cloud frozen water flux ","units":"kg m**-1 s**-1","description":"","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162092,"shortname":"vimat","longname":"Total column vertically-integrated mass tendency","units":"kg m**-2 s**-1","description":"This parameter is the rate of change of the mass of a column of air extending from the Earth's surface to the top of the atmosphere. An increasing mass of the column indicates rising surface pressure. In contrast, a decrease indicates a falling surface pressure trend.

The mass of the column is calculated by dividing pressure at the Earth's surface by the gravitational acceleration, g (=9.80665 m s-2).

This parameter can be used to study the atmospheric mass and energy budgets. See further information.","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162093,"shortname":"viwe","longname":"Total column vertically-integrated water enthalpy","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162100,"shortname":"srta","longname":"Time-integrated temperature tendency due to short-wave radiation","units":"K","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162101,"shortname":"trta","longname":"Time-integrated temperature tendency due to long-wave radiation","units":"K","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162102,"shortname":"srtca","longname":"Time-integrated temperature tendency due to short wave radiation, clear sky","units":"K","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162103,"shortname":"trtca","longname":"Time-integrated temperature tendency due to long-wave radiation, clear sky","units":"K","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162104,"shortname":"umfa","longname":"Time-integrated updraught mass flux","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162105,"shortname":"dmfa","longname":"Time-integrated downdraught mass flux","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162106,"shortname":"udra","longname":"Time-integrated updraught detrainment rate","units":"kg m**-3","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162107,"shortname":"ddra","longname":"Time-integrated downdraught detrainment rate","units":"kg m**-3","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162108,"shortname":"tpfa","longname":"Time-integrated total precipitation flux","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162109,"shortname":"tdcha","longname":"Time-integrated turbulent diffusion coefficient for heat","units":"m**2","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162110,"shortname":"ttpha","longname":"Time-integrated temperature tendency due to parametrisations","units":"K","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[{"class":"od","stream":"lwda","type":"fc","levtype":"ml"},{"class":"od","stream":"oper","type":"fc","levtype":"ml"}]},{"id":162111,"shortname":"qtpha","longname":"Time-integrated specific humidity tendency due to parametrisations","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162112,"shortname":"utpha","longname":"Time-integrated eastward wind tendency due to parametrisations","units":"m s**-1","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162113,"shortname":"vtpha","longname":"Time-integrated northward wind tendency due to parametrisations","units":"m s**-1","description":"","access_ids":[],"origin_ids":[0,98],"table":162,"mars_request_context":[]},{"id":162114,"shortname":"utendd","longname":"U-tendency from dynamics","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162115,"shortname":"vtendd","longname":"V-tendency from dynamics","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162116,"shortname":"ttendd","longname":"T-tendency from dynamics","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162117,"shortname":"qtendd","longname":"q-tendency from dynamics","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162118,"shortname":"ttendr","longname":"T-tendency from radiation","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162119,"shortname":"utendts","longname":"U-tendency from turbulent diffusion + subgrid orography","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162120,"shortname":"vtendts","longname":"V-tendency from turbulent diffusion + subgrid orography","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162121,"shortname":"ttendts","longname":"T-tendency from turbulent diffusion + subgrid orography","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162122,"shortname":"qtendt","longname":"q-tendency from turbulent diffusion","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162123,"shortname":"utends","longname":"U-tendency from subgrid orography","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162124,"shortname":"vtends","longname":"V-tendency from subgrid orography","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162125,"shortname":"ttends","longname":"T-tendency from subgrid orography","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162126,"shortname":"utendcds","longname":"U-tendency from convection (deep+shallow)","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162127,"shortname":"vtendcds","longname":"V-tendency from convection (deep+shallow)","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162128,"shortname":"ttendcds","longname":"T-tendency from convection (deep+shallow)","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162129,"shortname":"qtendcds","longname":"q-tendency from convection (deep+shallow)","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162130,"shortname":"lpc","longname":"Liquid Precipitation flux from convection","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162131,"shortname":"ipc","longname":"Ice Precipitation flux from convection","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162132,"shortname":"ttendcs","longname":"T-tendency from cloud scheme","units":"K","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162133,"shortname":"qtendcs","longname":"q-tendency from cloud scheme","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162134,"shortname":"qltendcs","longname":"ql-tendency from cloud scheme","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162135,"shortname":"qitendcs","longname":"qi-tendency from cloud scheme","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162136,"shortname":"lpcs","longname":"Liquid Precip flux from cloud scheme (stratiform)","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162137,"shortname":"ipcs","longname":"Ice Precip flux from cloud scheme (stratiform)","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162138,"shortname":"utendcs","longname":"U-tendency from shallow convection","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162139,"shortname":"vtendcs","longname":"V-tendency from shallow convection","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162140,"shortname":"ttendsc","longname":"T-tendency from shallow convection","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162141,"shortname":"qtendsc","longname":"q-tendency from shallow convection","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162150,"shortname":"ttswr","longname":"Temperature tendency due to short-wave radiation","units":"K s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162151,"shortname":"ttlwr","longname":"Temperature tendency due to long-wave radiation","units":"K s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162152,"shortname":"ttswrcs","longname":"Temperature tendency due to short-wave radiation, clear sky","units":"K s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162153,"shortname":"ttlwrcs","longname":"Temperature tendency due to long-wave radiation, clear sky","units":"K s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162154,"shortname":"umf","longname":"Updraught mass 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s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162160,"shortname":"ttpm","longname":"Temperature tendency due to parametrisations","units":"K s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162161,"shortname":"qtpm","longname":"Specific humidity tendency due to parametrisations","units":"kg kg**-1 s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162162,"shortname":"utpm","longname":"Eastward wind tendency due to parametrisations","units":"m s**-2","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162163,"shortname":"vtpm","longname":"Northward wind tendency due to parametrisations","units":"m s**-2","description":null,"access_ids":[],"origin_ids":[0],"table":162,"mars_request_context":[]},{"id":162206,"shortname":"~","longname":"Variance of geopotential","units":"m**4 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s**-3","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162217,"shortname":"~","longname":"Covariance of v component/temperature","units":"m s**-1 K","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162218,"shortname":"~","longname":"Covariance of v component/specific humidity","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162219,"shortname":"~","longname":"Covariance of v component/u component","units":"m**2 s**-2","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162220,"shortname":"~","longname":"Variance of v component","units":"m**2 s**-2","description":null,"access_ids":[],"origin_ids":[98],"table":162,"mars_request_context":[]},{"id":162221,"shortname":"~","longname":"Covariance of omega/geopotential","units":"m**2 Pa 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The index is calculated for each ensemble member of the seasonal forecast.","access_ids":[],"origin_ids":[98],"table":170,"mars_request_context":[]},{"id":170002,"shortname":"spi06","longname":"Standardised precipitation index valid in the last 6 months","units":"dimensionless","description":"The standardized precipitation index is calculated for the seasonal forecast system. The index is calculated for each ensemble member of the seasonal forecast.","access_ids":[],"origin_ids":[98],"table":170,"mars_request_context":[]},{"id":170003,"shortname":"spi12","longname":"Standardised precipitation index valid in the last 12 months","units":"dimensionless","description":"The standardized precipitation index is calculated for the seasonal forecast system. The index is calculated for each ensemble member of the seasonal forecast.","access_ids":[],"origin_ids":[98],"table":170,"mars_request_context":[]},{"id":170149,"shortname":"tsw","longname":"Total soil moisture","units":"m","description":null,"access_ids":[],"origin_ids":[98],"table":170,"mars_request_context":[]},{"id":170171,"shortname":"swl2","longname":"Soil wetness level 2","units":"m","description":null,"access_ids":[],"origin_ids":[98],"table":170,"mars_request_context":[]},{"id":170179,"shortname":"ttr","longname":"Top net thermal radiation","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":170,"mars_request_context":[]},{"id":171001,"shortname":"strfa","longname":"Stream function anomaly","units":"m**2 s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the stream function is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The horizontal wind field can be separated into divergent flow (i.e., flow that is purely divergent, with no swirl or rotation) and rotational flow (i.e., flow that is purely rotational and has no divergence).

The rotational (non-divergent) flow follows lines of constant stream function value (streamlines) and the speed of flow is proportional to the stream function gradient.

So streamlines show patterns of horizontal, rotational, air flow and the paths that particles would follow if the flow did not change with time.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"}]},{"id":171002,"shortname":"vpota","longname":"Velocity potential anomaly","units":"m**2 s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the velocity potential is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The horizontal wind field can be separated into divergent flow (i.e., flow that is purely divergent, with no swirl or rotation) and rotational flow (i.e., flow that is purely rotational and has no divergence).

This parameter is the scalar quantity whose gradient is the velocity vector of the irrotational flow. It can be used to show areas where the air is diverging (spreading out) or converging, which, depending on the vertical level, relate to ascending or descending air.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"}]},{"id":171003,"shortname":"pta","longname":"Potential temperature anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"pv"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pv"}]},{"id":171004,"shortname":"epta","longname":"Equivalent potential temperature anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171005,"shortname":"septa","longname":"Saturated equivalent potential temperature anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171006,"shortname":"100ua","longname":"100 metre U wind component anomaly","units":"m s**-1","description":"","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"}]},{"id":171007,"shortname":"100va","longname":"100 metre V wind component anomaly","units":"m s**-1","description":"","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"}]},{"id":171008,"shortname":"100sia","longname":"100 metre wind speed anomaly","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171011,"shortname":"udwa","longname":"U component of divergent wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171012,"shortname":"vdwa","longname":"V component of divergent wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171013,"shortname":"urwa","longname":"U component of rotational wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171014,"shortname":"vrwa","longname":"V component of rotational wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171021,"shortname":"uctpa","longname":"Unbalanced component of temperature anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171022,"shortname":"uclna","longname":"Unbalanced component of logarithm of surface pressure anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171023,"shortname":"ucdva","longname":"Unbalanced component of divergence anomaly","units":"s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171024,"shortname":"lmlta","longname":"Lake mix-layer temperature anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mixed-layer temperature of inland water bodies (lakes, reservoirs and rivers) or coastal waters is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The mixed-layer temperature is the temperature of the uppermost layer of a lake that is well mixed. The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below, where temperature changes with depth. The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

Mixing can occur when the density of the surface (and near-surface) water is greater than that of the water below. Mixing can also occur through the action of wind on the surface of the lake.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171025,"shortname":"licda","longname":"Lake ice depth anomaly","units":"m","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the ice thickness on inland water bodies (lakes, reservoirs and rivers) and coastal waters is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System represents the formation and melting of ice on inland water bodies. A single ice layer is represented. Lake ice depth is the thickness of that ice layer.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171026,"shortname":"cla","longname":"Lake cover anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171027,"shortname":"cvla","longname":"Low vegetation cover anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171028,"shortname":"cvha","longname":"High vegetation cover anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171029,"shortname":"tvla","longname":"Type of low vegetation anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171030,"shortname":"tvha","longname":"Type of high vegetation anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171031,"shortname":"sica","longname":"Sea-ice cover anomaly","units":"(0 - 1)","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the sea-ice cover is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Sea-ice cover is the fraction of a grid box which is covered by sea-ice. Sea-ice can only occur in a grid box which is defined as ocean according to the land sea mask at the resolution being used. Sea-ice cover can also be known as sea-ice fraction or sea-ice concentration.

Sea-ice is frozen sea water which floats on the surface of the ocean. Sea-ice does not include ice which forms on land such as glaciers, icebergs and ice-sheets. It also excludes ice shelves which are anchored on land, but protrude out over the surface of the ocean. These phenomena are not modelled by the IFS.

Long-term monitoring of sea-ice cover is important for understanding climate change. Sea-ice cover also affects shipping routes through the polar regions.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171032,"shortname":"asna","longname":"Snow albedo anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171033,"shortname":"rsna","longname":"Snow density anomaly","units":"kg m**-3","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the snow density is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. Snow density is assumed to be constant through the depth of the snow layer. Snow density changes with time due to the weight of snow and melt water in the snowpack.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171034,"shortname":"ssta","longname":"Sea surface temperature anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the temperature of sea water near the surface is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Sea surface temperature (SST) is taken from various providers, who process the observational data in different ways. Each provider uses data from several different observational sources. For example, satellites measure SST in a layer a few microns thick in the uppermost mm of the ocean, drifting buoys measure SST at a depth of about 0.2-1.5m, whereas ships sample sea water down to about 10m, while the vessel is underway. Deeper measurements are not affected by changes that occur during a day, due to the rising and setting of the Sun (diurnal variations).

Sometimes SST is taken from a forecast made by coupling the NEMO ocean model to the ECMWF Integrated Forecasting System. In this case, the SST is the average temperature of the uppermost metre of the ocean and does exhibit diurnal variations.

See further SST documentation.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171035,"shortname":"istal1","longname":"Ice surface temperature anomaly layer 1","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171036,"shortname":"istal2","longname":"Ice surface temperature anomaly layer 2","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171037,"shortname":"istal3","longname":"Ice surface temperature anomaly layer 3","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171038,"shortname":"istal4","longname":"Ice surface temperature anomaly layer 4","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171039,"shortname":"swval1","longname":"Volumetric soil water anomaly layer 1","units":"m**3 m**-3","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the volumetric soil water is larger/smaller in layer 1 than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Volumetric soil water is the volume of water in soil.

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171040,"shortname":"swval2","longname":"Volumetric soil water anomaly layer 2","units":"m**3 m**-3","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the volumetric soil water is larger/smaller in layer 2 than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Volumetric soil water is the volume of water in soil.

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171041,"shortname":"swval3","longname":"Volumetric soil water anomaly layer 3","units":"m**3 m**-3","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the volumetric soil water is larger/smaller in layer 3 than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Volumetric soil water is the volume of water in soil.

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171042,"shortname":"swval4","longname":"Volumetric soil water anomaly layer 4","units":"m**3 m**-3","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the volumetric soil water is larger/smaller in layer 4 than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Volumetric soil water is the volume of water in soil.

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171043,"shortname":"slta","longname":"Soil type anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171044,"shortname":"esa","longname":"Snow evaporation anomaly","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171045,"shortname":"smlta","longname":"Snowmelt anomaly","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171046,"shortname":"sdura","longname":"Solar duration anomaly","units":"s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171047,"shortname":"dsrpa","longname":"Direct solar radiation anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171048,"shortname":"magssa","longname":"Magnitude of turbulent surface stress anomaly","units":"N m**-2 s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171049,"shortname":"10fga","longname":"10 metre wind gust anomaly","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the 10 metre wind gust is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171050,"shortname":"lspfa","longname":"Large-scale precipitation fraction anomaly","units":"s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171051,"shortname":"mx2t24a","longname":"Maximum 2 metre temperature in the last 24 hours anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the maximum 2 metre temperature in the previous 24 hours is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171052,"shortname":"mn2t24a","longname":"Minimum 2 metre temperature in the last 24 hours anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the minimum 2 metre temperature in the previous 24 hours is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171053,"shortname":"monta","longname":"Montgomery potential anomaly","units":"m**2 s**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171054,"shortname":"pa","longname":"Pressure anomaly","units":"Pa","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171055,"shortname":"mean2t24a","longname":"Mean 2 metre temperature in the last 24 hours anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171056,"shortname":"mn2d24a","longname":"Mean 2 metre dewpoint temperature in the last 24 hours anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171057,"shortname":"uvba","longname":"Downward UV radiation at the surface anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171058,"shortname":"para","longname":"Photosynthetically active radiation at the surface anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171059,"shortname":"capea","longname":"Convective available potential energy anomaly","units":"J kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171060,"shortname":"pva","longname":"Potential vorticity anomaly","units":"K m**2 kg**-1 s**-1","description":"","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"pt"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pt"}]},{"id":171061,"shortname":"tpoa","longname":"Total precipitation from observations anomaly","units":"Millimetres*100 + number of stations","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171062,"shortname":"obcta","longname":"Observation count anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171063,"shortname":"stsktda","longname":"Start time for skin temperature difference anomaly","units":"s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171064,"shortname":"ftsktda","longname":"Finish time for skin temperature difference anomaly","units":"s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171065,"shortname":"sktda","longname":"Skin temperature difference anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171078,"shortname":"tclwa","longname":"Total column liquid water anomaly","units":"kg m**-2","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the total amount of cloud liquid water (in a column extending from the surface of the Earth to the top of the atmosphere) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171079,"shortname":"tciwa","longname":"Total column ice water anomaly","units":"kg m**-2","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the total amount of cloud ice (in a column extending from the surface of the Earth to the top of the atmosphere) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information). This parameter does not include snow (i.e., precipitating ice).

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171121,"shortname":"mx2t6a","longname":"Maximum temperature at 2 metres in the last 6 hours anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the maximum 2 metre temperature in the previous 6 hours is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"}]},{"id":171122,"shortname":"mn2t6a","longname":"Minimum temperature at 2 metres in the last 6 hours anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the minimum 2 metre temperature in the previous 6 hours is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"}]},{"id":171125,"shortname":"vitea","longname":"Vertically integrated total energy anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171126,"shortname":"~","longname":"Generic parameter for sensitive area prediction","units":"Various","description":null,"access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171127,"shortname":"ata","longname":"Atmospheric tide anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171128,"shortname":"bva","longname":"Budget values anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171129,"shortname":"za","longname":"Geopotential anomaly","units":"m**2 s**-2","description":null,"access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"pb","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"},{"class":"od","stream":"mmsa","type":"em","levtype":"pl"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pl"}]},{"id":171130,"shortname":"ta","longname":"Temperature anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that temperature is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

This parameter is available on multiple levels through the atmosphere.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"},{"class":"od","stream":"mmsa","type":"em","levtype":"pl"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pl"}]},{"id":171131,"shortname":"ua","longname":"U component of wind anomaly","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the wind is more eastward (or less westward) than average. A negative anomaly indicates that the wind is more westward (or less eastward) than average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The U component of wind is the eastward component of the wind. It is the horizontal speed of air moving towards the east, in metres per second. A negative U component of wind thus indicates air movement towards the west.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"},{"class":"od","stream":"mmsa","type":"em","levtype":"pl"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pl"}]},{"id":171132,"shortname":"va","longname":"V component of wind anomaly","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the wind is more northward (or less southward) than average. A negative anomaly indicates that the wind is more southward (or less northward) than average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The V component of wind is the northward component of the wind. It is the horizontal speed of air moving towards the north, in metres per second. A negative V component of wind thus indicates air movement towards the south.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"},{"class":"od","stream":"mmsa","type":"em","levtype":"pl"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pl"}]},{"id":171133,"shortname":"qa","longname":"Specific humidity anomaly","units":"kg kg**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the specific humidity is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Specific humidity is the mass of water vapour per kilogram of moist air. The total mass of moist air is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"},{"class":"od","stream":"mmsa","type":"em","levtype":"pl"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pl"}]},{"id":171134,"shortname":"spa","longname":"Surface pressure anomaly","units":"Pa","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171135,"shortname":"wa","longname":"Vertical velocity (pressure) anomaly","units":"Pa s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171136,"shortname":"tcwa","longname":"Total column water anomaly","units":"kg m**-2","description":"","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"}]},{"id":171137,"shortname":"tcwva","longname":"Total column water vapour anomaly","units":"kg m**-2","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the total water vapour (in a column extending from the surface of the Earth to the top of the atmosphere) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

This parameter represents the area averaged value for a grid box.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171138,"shortname":"voa","longname":"Relative vorticity anomaly","units":"s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the relative vorticity is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Relative vorticity is a measure of the rotation of air in the horizontal, around a vertical axis, relative to a fixed point on the surface of the Earth.

On the scale of weather systems, low pressure systems (weather features that can include rain) are associated with anticlockwise rotation (in the northern hemisphere), and high pressure systems (weather features that bring light or still winds) are associated with clockwise rotation.

Adding the effect of rotation of the Earth, the Coriolis parameter, to the relative vorticity produces the absolute vorticity.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"pl"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pl"}]},{"id":171139,"shortname":"stal1","longname":"Soil temperature anomaly level 1","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the soil temperature at level 1 (the middle of layer 1) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pb","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171140,"shortname":"swal1","longname":"Soil wetness anomaly level 1","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171141,"shortname":"sda","longname":"Snow depth anomaly","units":"m of water equivalent","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the snow depth is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box. Snow depth is the depth the water would have if the snow (from the snow-covered area of a grid box ) melted and was spread evenly over the whole grid box. Therefore, its units are metres of water equivalent.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171142,"shortname":"lspa","longname":"Stratiform precipitation (Large-scale precipitation) anomaly","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171143,"shortname":"cpa","longname":"Convective precipitation anomaly","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171144,"shortname":"sfa","longname":"Snowfall (convective + stratiform) anomaly","units":"m of water equivalent","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171145,"shortname":"blda","longname":"Boundary layer dissipation anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171146,"shortname":"sshfa","longname":"Surface sensible heat flux anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171147,"shortname":"slhfa","longname":"Surface latent heat flux anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171148,"shortname":"chnka","longname":"Charnock anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171149,"shortname":"snra","longname":"Surface net radiation anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171150,"shortname":"tnra","longname":"Top net radiation anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171151,"shortname":"msla","longname":"Mean sea level pressure anomaly","units":"Pa","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean sea level pressure is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean sea level pressure is the pressure (force per unit area) of the atmosphere adjusted to the height of mean sea level. It is a measure of the weight that all the air in a column vertically above the area of Earth's surface would have at that point, if the point were located at the mean sea level. It is calculated over all surfaces - land, sea and in-land water.

Maps of mean sea level pressure are used to identify the locations of low and high pressure systems, often referred to as cyclones and anticyclones. Contours of mean sea level pressure also indicate the strength of the wind. Tightly packed contours show stronger winds.

The units of this parameter are pascals (Pa). Mean sea level pressure is often measured in hPa and sometimes is presented in the old units of millibars, mb (1 hPa = 1 mb = 100 Pa).","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pb","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171152,"shortname":"lspa","longname":"Logarithm of surface pressure anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171153,"shortname":"swhra","longname":"Short-wave heating rate anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171154,"shortname":"lwhra","longname":"Long-wave heating rate anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171155,"shortname":"da","longname":"Relative divergence anomaly","units":"s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the relative divergence is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The relative divergence, also called simply the divergence, is the horizontal divergence of velocity. It is the rate at which air is spreading out horizontally from a point, per square metre. This parameter is positive for air that is spreading out, or diverging, and negative for the opposite, for air that is concentrating, or converging (convergence).","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"pl"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pl"}]},{"id":171156,"shortname":"gha","longname":"Height anomaly","units":"m","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that geopotential height is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Geopotential height is a measure of the height of a point in the atmosphere in relation to its potential energy. It is calculated by dividing the geopotential by the Earth's mean gravitational acceleration, g (=9.80665 m s-2). The geopotential is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. Geopotential is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

Geopotential height plays an important role in synoptic meteorology (analysis of weather patterns). Charts of geopotential height plotted at constant pressure levels (e.g., 300, 500 or 850 hPa) can be used to identify weather systems such as cyclones, anticyclones, troughs and ridges.

The units of this parameter are geopotential metres. A geopotential metre is 2% shorter than a dynamic metre (also called a geodynamic metre).","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"pl"},{"class":"od","stream":"eefo","type":"pb","levtype":"pl"},{"class":"od","stream":"eefo","type":"taem","levtype":"pl"},{"class":"od","stream":"mmsa","type":"em","levtype":"pl"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pl"}]},{"id":171157,"shortname":"ra","longname":"Relative humidity anomaly","units":"%","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171158,"shortname":"tspa","longname":"Tendency of surface pressure anomaly","units":"Pa s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171159,"shortname":"blha","longname":"Boundary layer height anomaly","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171160,"shortname":"sdora","longname":"Standard deviation of orography anomaly","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171161,"shortname":"isora","longname":"Anisotropy of sub-gridscale orography anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171162,"shortname":"anora","longname":"Angle of sub-gridscale orography anomaly","units":"radians","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171163,"shortname":"slora","longname":"Slope of sub-gridscale orography anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171164,"shortname":"tcca","longname":"Total cloud cover anomaly","units":"(0 - 1)","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that total cloud cover is larger/smaller than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Total cloud cover is the proportion of a model grid box covered by cloud. Total cloud cover is a single level field calculated from the cloud occurring at different model levels through the atmosphere. Assumptions are made about the degree of overlap/randomness between the horizontal positioning of clouds at different heights.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171165,"shortname":"10ua","longname":"10 metre U wind component anomaly","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the wind is more eastward (or less westward) than average. A negative anomaly indicates that the wind is more westward (or less eastward) than average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The 10 metre U wind component is the eastward component of the 10 m wind. It is the horizontal speed of air moving towards the east, at a height of ten metres above the surface of the Earth, in metres per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171166,"shortname":"10va","longname":"10 metre V wind component anomaly","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the wind is more northward (or less southward) than average. A negative anomaly indicates that the wind is more southward (or less northward) than average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The 10 metre V wind component is the northward component of the 10 m wind. It is the horizontal speed of air moving towards the north, at a height of ten metres above the surface of the Earth, in metres per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171167,"shortname":"2ta","longname":"2 metre temperature anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the 2 metre temperature is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pb","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171168,"shortname":"2da","longname":"2 metre dewpoint temperature anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the 2 metre dew point temperature is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Dew point temperature is the temperature to which the air would have to be cooled for saturation to occur. It is a measure of the humidity of the air. Combined with temperature and pressure, it can be used to calculate the relative humidity.

2m dew point temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions.See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171169,"shortname":"ssrda","longname":"Surface solar radiation downwards anomaly","units":"J m**-2","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the surface solar radiation downwards is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The surface solar radiation downwards is the amount of solar radiation (also known as shortwave radiation) reaching the surface of the Earth (both direct and diffuse). It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun. It is accumulated over a particular time period which depends on the data extracted.

The ECMWF convention for vertical fluxes is positive downwards.","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171170,"shortname":"stal2","longname":"Soil temperature anomaly level 2","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the soil temperature at level 2 (the middle of layer 2) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171171,"shortname":"swal2","longname":"Soil wetness anomaly level 2","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171173,"shortname":"sra","longname":"Surface roughness anomaly","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171174,"shortname":"ala","longname":"Albedo anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171175,"shortname":"strda","longname":"Surface thermal radiation downwards anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171176,"shortname":"ssra","longname":"Surface net solar radiation anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171177,"shortname":"stra","longname":"Surface net thermal radiation anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171178,"shortname":"tsra","longname":"Top net solar radiation anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171179,"shortname":"ttra","longname":"Top net thermal radiation anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171180,"shortname":"eqssa","longname":"East-West surface stress anomaly","units":"N m**-2 s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171181,"shortname":"nsssa","longname":"North-South surface stress anomaly","units":"N m**-2 s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171182,"shortname":"ea","longname":"Evaporation anomaly","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171183,"shortname":"stal3","longname":"Soil temperature anomaly level 3","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the soil temperature at level 3 (the middle of layer 3) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171184,"shortname":"swal3","longname":"Soil wetness anomaly level 3","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171185,"shortname":"ccca","longname":"Convective cloud cover anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171186,"shortname":"lcca","longname":"Low cloud cover anomaly","units":"(0 - 1)","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that low cloud cover is larger/smaller than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Low cloud cover is the proportion of a model grid box covered by cloud occurring in the lower levels of the troposphere. Low cloud is a single level field calculated from cloud occurring on model levels with a pressure greater than 0.8 times the surface pressure. So, if the surface pressure is 1000 hPa (hectopascal), low cloud would be calculated using levels with a pressure greater than 800 hPa (below approximately 2 km (assuming a 'standard atmosphere')).

The low cloud cover parameter is calculated from cloud cover for the appropriate model levels as described above. Assumptions are made about the degree of overlap/randomness between the horizontal positioning of clouds in different model levels.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171187,"shortname":"mcca","longname":"Medium cloud cover anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171188,"shortname":"hcca","longname":"High cloud cover anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171189,"shortname":"sunda","longname":"Sunshine duration anomaly","units":"s","description":null,"access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171190,"shortname":"ewova","longname":"East-West component of sub-gridscale orographic variance anomaly","units":"m**2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171191,"shortname":"nsova","longname":"North-South component of sub-gridscale orographic variance anomaly","units":"m**2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171192,"shortname":"nwova","longname":"North-West/South-East component of sub-gridscale orographic variance anomaly","units":"m**2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171193,"shortname":"neova","longname":"North-East/South-West component of sub-gridscale orographic variance anomaly","units":"m**2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171194,"shortname":"btmpa","longname":"Brightness temperature anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171195,"shortname":"lgwsa","longname":"Longitudinal component of gravity wave stress anomaly","units":"N m**-2 s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171196,"shortname":"mgwsa","longname":"Meridional component of gravity wave stress anomaly","units":"N m**-2 s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171197,"shortname":"gwda","longname":"Gravity wave dissipation anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171198,"shortname":"srca","longname":"Skin reservoir content anomaly","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171199,"shortname":"vfa","longname":"Vegetation fraction anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171200,"shortname":"vsoa","longname":"Variance of sub-gridscale orography anomaly","units":"m**2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171201,"shortname":"mx2ta","longname":"Maximum temperature at 2 metres anomaly","units":"K","description":null,"access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"}]},{"id":171202,"shortname":"mn2ta","longname":"Minimum temperature at 2 metres anomaly","units":"K","description":null,"access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"}]},{"id":171203,"shortname":"o3a","longname":"Ozone mass mixing ratio anomaly","units":"kg kg**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that ozone mass mixing ratio is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Ozone mass mixing ratio is the mass of ozone per kilogram of air.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation.

Naturally occurring ozone in the stratosphere helps protect organisms at the surface of the Earth from the harmful effects of ultraviolet (UV) radiation from the Sun. Ozone near the surface, often produced because of pollution, is harmful to organisms.

Most of the IFS chemical species are archived as mass mixing ratios [kg kg-1]. This link explains how to convert to concentration in terms of mass per unit volume.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"pl"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"pl"}]},{"id":171204,"shortname":"pawa","longname":"Precipitation analysis weights anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171205,"shortname":"roa","longname":"Runoff anomaly","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171206,"shortname":"tco3a","longname":"Total column ozone anomaly","units":"kg m**-2","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that total column ozone is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Total column ozone is the total amount of ozone in a column of air extending from the surface of the Earth to the top of the (model) atmosphere. This parameter can also be referred to as total ozone, or vertically integrated ozone. The values are dominated by ozone within the stratosphere.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation.

Naturally occurring ozone in the stratosphere helps protect organisms at the surface of the Earth from the harmful effects of ultraviolet (UV) radiation from the Sun. Ozone near the surface, often produced because of pollution, is harmful to organisms.

In the IFS, the units for total ozone are kilograms per square metre, but before 12/06/2001 dobson units were used. Dobson units (DU) are still used extensively for total column ozone. 1 DU = 2.1415E-5 kg m-2.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171207,"shortname":"10sia","longname":"10 metre wind speed anomaly","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the 10 metre wind speed is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The 10 metre wind speed is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171208,"shortname":"tsrca","longname":"Top net solar radiation clear sky anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171209,"shortname":"ttrca","longname":"Top net thermal radiation clear sky anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171210,"shortname":"ssrca","longname":"Surface net solar radiation clear sky anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171211,"shortname":"strca","longname":"Surface net thermal radiation, clear sky anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171212,"shortname":"sia","longname":"Solar insolation anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171214,"shortname":"dhra","longname":"Diabatic heating by radiation anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171215,"shortname":"dhvda","longname":"Diabatic heating by vertical diffusion anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171216,"shortname":"dhcca","longname":"Diabatic heating by cumulus convection anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171217,"shortname":"dhlca","longname":"Diabatic heating by large-scale condensation anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171218,"shortname":"vdzwa","longname":"Vertical diffusion of zonal wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171219,"shortname":"vdmwa","longname":"Vertical diffusion of meridional wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171220,"shortname":"ewgda","longname":"East-West gravity wave drag tendency anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171221,"shortname":"nsgda","longname":"North-South gravity wave drag tendency anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171222,"shortname":"ctzwa","longname":"Convective tendency of zonal wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171223,"shortname":"ctmwa","longname":"Convective tendency of meridional wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171224,"shortname":"vdha","longname":"Vertical diffusion of humidity anomaly","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171225,"shortname":"htcca","longname":"Humidity tendency by cumulus convection anomaly","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171226,"shortname":"htlca","longname":"Humidity tendency by large-scale condensation anomaly","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171227,"shortname":"crnha","longname":"Change from removal of negative humidity anomaly","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171228,"shortname":"tpa","longname":"Total precipitation anomaly","units":"m","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the total precipitation is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

This parameter is calculated from the total amount of water accumulated over a particular time period which depends on the data extracted.The units of precipitation are depth in metres. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171229,"shortname":"iewsa","longname":"Instantaneous X surface stress anomaly","units":"N m**-2","description":"An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the surface stress is more eastward (or less westward) than average. A negative anomaly indicates that the surface stress is more westward (or less eastward) than the average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. The instantaneous X surface stress is the stress on the Earth's surface at the specified time in the eastward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171230,"shortname":"inssa","longname":"Instantaneous Y surface stress anomaly","units":"N m**-2","description":"An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the surface stress is more northward (or less southward) than average. A negative anomaly indicates that the surface stress is more southward (or less northward) than the average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. The instantaneous Y surface stress is the stress on the Earth's surface at the specified time in the northward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171231,"shortname":"ishfa","longname":"Instantaneous surface heat flux anomaly","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171232,"shortname":"iea","longname":"Instantaneous moisture flux anomaly","units":"kg m**-2 s","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171233,"shortname":"asqa","longname":"Apparent surface humidity anomaly","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171234,"shortname":"lsrha","longname":"Logarithm of surface roughness length for heat anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171235,"shortname":"skta","longname":"Skin temperature anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171236,"shortname":"stal4","longname":"Soil temperature level 4 anomaly","units":"K","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the soil temperature at level 4 (the middle of layer 4) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171237,"shortname":"swal4","longname":"Soil wetness level 4 anomaly","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171238,"shortname":"tsna","longname":"Temperature of snow layer anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171239,"shortname":"csfa","longname":"Convective snowfall anomaly","units":"m of water equivalent","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171240,"shortname":"lsfa","longname":"Large scale snowfall anomaly","units":"m of water equivalent","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171241,"shortname":"acfa","longname":"Accumulated cloud fraction tendency anomaly","units":"(-1 to 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171242,"shortname":"alwa","longname":"Accumulated liquid water tendency anomaly","units":"(-1 to 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171243,"shortname":"fala","longname":"Forecast albedo anomaly","units":"(0 - 1)","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the forecast albedo is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The forecast albedo is a measure of the reflectivity of the Earth's surface. It is the fraction of solar (shortwave) radiation reflected by Earth's surface, across the solar spectrum, for both direct and diffuse radiation. Typically, snow and ice have high reflectivity with albedo values of 0.8 and above, land has intermediate values between about 0.1 and 0.4 and the ocean has low values of 0.1 or less. See further documentation.

In the ECMWF Integrated Forecasting System (IFS), the model only modifies albedo values over water, ice and snow, elsewhere a background climatological albedo is used.","access_ids":["dissemination"],"origin_ids":[98],"table":171,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":171244,"shortname":"fsra","longname":"Forecast surface roughness anomaly","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171245,"shortname":"flsra","longname":"Forecast logarithm of surface roughness for heat anomaly","units":"~","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171246,"shortname":"clwca","longname":"Cloud liquid water content anomaly","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171247,"shortname":"ciwca","longname":"Cloud ice water content anomaly","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171248,"shortname":"cca","longname":"Cloud cover anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171249,"shortname":"aiwa","longname":"Accumulated ice water tendency anomaly","units":"(-1 to 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171250,"shortname":"iaa","longname":"Ice age anomaly","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171251,"shortname":"attea","longname":"Adiabatic tendency of temperature anomaly","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171252,"shortname":"athea","longname":"Adiabatic tendency of humidity anomaly","units":"kg kg**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171253,"shortname":"atzea","longname":"Adiabatic tendency of zonal wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171254,"shortname":"atmwa","longname":"Adiabatic tendency of meridional wind anomaly","units":"m s**-1","description":"","access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":171255,"shortname":"~","longname":"Indicates a missing value","units":"~","description":null,"access_ids":[],"origin_ids":[98],"table":171,"mars_request_context":[]},{"id":172008,"shortname":"msror","longname":"Time-mean surface runoff rate","units":"m s**-1","description":"Mean rate of accumulation.
\nThe monthly mean is computed from the rate of accumulation of the field","access_ids":["dissemination"],"origin_ids":[-90,-70,98],"table":172,"mars_request_context":[{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172009,"shortname":"mssror","longname":"Time-mean sub-surface runoff rate","units":"m s**-1","description":"Deep soil drainage. Mean rate of accumulation.
\nThe monthly mean is computed from the rate of accumulation of the field","access_ids":["dissemination"],"origin_ids":[-90,-70,98],"table":172,"mars_request_context":[{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172044,"shortname":"esrate","longname":"Time-mean snow evaporation rate","units":"m of water equivalent s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172045,"shortname":"~","longname":"Time-mean snowmelt rate","units":"m of water equivalent s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172050,"shortname":"mlspfr","longname":"Mean large-scale precipitation fraction","units":"~","description":"

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172142,"shortname":"mlsprt","longname":"Time-mean large-scale precipitation rate","units":"m s**-1","description":null,"access_ids":["dissemination"],"origin_ids":[-70,98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172143,"shortname":"cprate","longname":"Time-mean convective precipitation rate","units":"m s**-1","description":null,"access_ids":["dissemination"],"origin_ids":[-70,98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172144,"shortname":"mtsfr","longname":"Time-mean total snowfall rate","units":"m of water equivalent s**-1","description":"This parameter is the mean rate of snowfall. It is accumulated snowfall divided by the length of the accumulation period, which depends on the data extracted.

This parameter is the sum of large-scale snowfall and convective snowfall. Large-scale snowfall is generated by the cloud scheme in the ECMWF Integrated Forecast System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective snowfall is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

The units are depth of water equivalent in metres which falls per second (i.e., the depth the melted snow would have if it were spread evenly over the grid box ).

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[-90,-70,98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172145,"shortname":"bldrate","longname":"Boundary layer dissipation","units":"W m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172146,"shortname":"msshfl","longname":"Time-mean surface sensible heat flux","units":"W m**-2","description":"

Please use 235033 for the GRIB2 encoding of this parameter.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172147,"shortname":"mslhfl","longname":"Time-mean surface latent heat flux","units":"W m**-2","description":"

Please use 235034 for the GRIB2 encoding of this parameter.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172153,"shortname":"mswhr","longname":"Time-mean short-wave (solar) heating rate","units":"K s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172154,"shortname":"mlwhr","longname":"Time-mean long-wave (thermal) heating rate","units":"K s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172169,"shortname":"msdsrf","longname":"Time-mean surface downward short-wave (solar) radiation flux","units":"W m**-2","description":"

Please use 235035 for the GRIB2 encoding of this parameter.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172175,"shortname":"msdtrf","longname":"Time-mean surface downward long-wave (thermal) radiation flux","units":"W m**-2","description":"

Please use 235036 for the GRIB2 encoding of this parameter.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172176,"shortname":"msnsrf","longname":"Time-mean surface net short-wave (solar) radiation flux","units":"W m**-2","description":"

Please use 235037 for the GRIB2 encoding of this parameter.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172177,"shortname":"msntrf","longname":"Time-mean surface net long-wave (thermal) radiation flux","units":"W m**-2","description":"

Please use 235038 for the GRIB2 encoding of this parameter.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172178,"shortname":"mtnsrf","longname":"Time-mean top net short-wave (solar) radiation flux","units":"W m**-2","description":"

Please use 235039 for the GRIB2 encoding of this parameter.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172179,"shortname":"mtntrf","longname":"Time-mean top net long-wave (thermal) radiation flux","units":"W m**-2","description":"

Please use 235040 for the GRIB2 encoding of this parameter.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172180,"shortname":"ewssra","longname":"Time-mean eastward turbulent surface stress","units":"N m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172181,"shortname":"nsssra","longname":"Time-mean northward turbulent surface stress","units":"N m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172182,"shortname":"erate","longname":"Time-mean evaporation rate","units":"m of water equivalent s**-1","description":null,"access_ids":["dissemination"],"origin_ids":[-90,-70,98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172189,"shortname":"msdr","longname":"Mean sunshine duration rate","units":"s s**-1","description":"

This parameter is the accumulated sunshine duration divided by the length of the accumulation period, which depends on the data extracted, giving the mean sunshine duration rate.

The sunshine duration is the length of time in which the direct solar (shortwave) radiation at the Earth's surface, falling on a plane perpendicular to the direction of the Sun, is greater than or equal to 120 W m-2. 

The minimum solar intensity level of 120 W m-2 is defined by the World Meteorological Organisation and is consistent with observed values of sunshine duration from a Campbell-Stokes recorder (sometimes called a Stokes sphere) that can only measure moderately intense sunlight and brighter.

This parameter is only available in GRIB1.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172195,"shortname":"~","longname":"Longitudinal component of gravity wave stress","units":"N m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172196,"shortname":"~","longname":"Meridional component of gravity wave stress","units":"N m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172197,"shortname":"gwdrate","longname":"Gravity wave dissipation","units":"W m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172205,"shortname":"mrort","longname":"Time-mean runoff rate","units":"m s**-1","description":null,"access_ids":["dissemination"],"origin_ids":[-70,98],"table":172,"mars_request_context":[{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172208,"shortname":"~","longname":"Time-mean top net short-wave (solar) radiation flux, clear sky","units":"W m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172209,"shortname":"~","longname":"Time-mean top net long-wave (thermal) radiation flux, clear sky","units":"W m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172210,"shortname":"~","longname":"Time-mean surface net short-wave (solar) radiation flux, clear sky","units":"W m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172211,"shortname":"~","longname":"Time-mean surface net long-wave (thermal) radiation flux, clear sky","units":"W m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172212,"shortname":"soira","longname":"Time-mean short-wave (solar) insolation rate","units":"W m**-2","description":"

This parameter is only available in GRIB1.

","access_ids":["dissemination"],"origin_ids":[98],"table":172,"mars_request_context":[{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172228,"shortname":"tprate","longname":"Time-mean total precipitation rate","units":"m s**-1","description":"This parameter is the mean rate of total precipitation. It is accumulated precipitation divided by the length of the accumulation period, which depends on the data extracted.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

The units are depth of water equivalent in metres which falls per second (i.e., the depth the water would have if it were spread evenly over the grid box).

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step .","access_ids":["dissemination"],"origin_ids":[-90,-70,98],"table":172,"mars_request_context":[{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"}]},{"id":172239,"shortname":"~","longname":"Time-mean convective snowfall rate","units":"m of water equivalent s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172240,"shortname":"~","longname":"Time-mean large-scale snowfall rate","units":"m of water equivalent s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":172255,"shortname":"~","longname":"Indicates a missing value","units":"~","description":null,"access_ids":[],"origin_ids":[98],"table":172,"mars_request_context":[]},{"id":173008,"shortname":"msrora","longname":"Mean surface runoff rate anomaly","units":"m of water equivalent s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean surface runoff rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean surface runoff rate is the amount of water from rainfall or melting snow that is not absorbed by the soil and drains away over the surface. Water may also drain away under the ground. It is the accumulated amount of water, divided by the length of the accumulation period, which depends on the data extracted.

This quantity represents the depth this water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173009,"shortname":"mssrora","longname":"Mean sub-surface runoff rate anomaly","units":"m of water equivalent s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean sub-surface runoff rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean sub-surface runoff rate is the amount of water deep in the soil that drains away under the ground. Water may also drain away over the surface. It is the accumulated amount of water, divided by the length of the accumulation period, which depends on the data extracted.

This quantity represents the depth this water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173044,"shortname":"~","longname":"Time-mean snow evaporation anomalous rate of accumulation","units":"m of water equivalent s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173045,"shortname":"~","longname":"Time-mean snowmelt anomalous rate of accumulation","units":"m of water equivalent s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173048,"shortname":"~","longname":"Magnitude of turbulent surface stress anomaly","units":"N m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173050,"shortname":"~","longname":"Large-scale precipitation fraction anomaly","units":"~","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173142,"shortname":"lspara","longname":"Stratiform precipitation (Large-scale precipitation) anomalous rate of accumulation","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean large-scale precipitation rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Mean large-scale precipitation rate is accumulated precipitation divided by the length of the accumulation period, which depends on the data extracted.

For this parameter, precipitation is made up of rain and snow that falls to the Earth's surface, generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Precipitation can also be due to convection generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

The units include depth in metres of water equivalent. This is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173143,"shortname":"mcpra","longname":"Mean convective precipitation rate anomaly","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean convective precipitation rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Mean convective precipitation rate is accumulated precipitation divided by the length the accumulation period, which depends on the data extracted.

For this parameter, precipitation is rain and snow that falls to the Earth's surface, generated by the convection scheme in the ECMWF Integrated Forecasting System (IFS). The convection scheme represents convection at spatial scales smaller than the grid box. Total precipitation is made up of convective and large-scale precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. See further information.

The units include depth, in metres of water equivalent. This is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step .","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173144,"shortname":"sfara","longname":"Snowfall (convective + stratiform) anomalous rate of accumulation","units":"m of water equivalent s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean snowfall rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The mean snowfall rate is the accumulated snowfall divided by the length of the accumulation period, which depends on the data extracted.

Snowfall is the sum of large-scale snowfall and convective snowfall. Large-scale snowfall is generated by the cloud scheme in the ECMWF Integrated Forecast System. The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective snowfall is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

The units are depth of water equivalent in metres which falls per second (i.e., the depth the melted snow would have if it were spread evenly over the grid box ).

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173145,"shortname":"~","longname":"Boundary layer dissipation anomaly","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173146,"shortname":"sshfara","longname":"Surface sensible heat flux anomalous rate of accumulation","units":"J m**-2","description":"An anomaly is a difference from a defined long-term average. Since the ECMWF convention for vertical fluxes is positive downwards, a positive anomaly means either a larger downward mean surface sensible heat flux or a smaller upward flux, compared with the long-term average. A negative anomaly means either a smaller downward flux or a larger upward flux. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Surface sensible heat flux is the transfer of heat between the Earth's surface and the atmosphere through the effects of turbulent air motion (but excluding any heat transfer resulting from condensation or evaporation). The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173147,"shortname":"slhfara","longname":"Surface latent heat flux anomalous rate of accumulation","units":"J m**-2","description":"An anomaly is a difference from a defined long-term average. Since the ECMWF convention for vertical fluxes is positive downwards, a positive anomaly means either a larger downward mean surface latent heat flux or a smaller upward flux, compared with the long-term average. A negative anomaly means either a smaller downward flux or a larger upward flux. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The surface latent heat flux is the transfer of latent heat (resulting from evaporation, condensation and other moisture phase changes) between the Earth's surface and the atmosphere through the effects of turbulent air motion. Evaporation from the Earth's surface represents a transfer of energy from the surface to the atmosphere. The mean latent heat flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173149,"shortname":"~","longname":"Surface net radiation anomaly","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173153,"shortname":"~","longname":"Short-wave heating rate anomaly","units":"K s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173154,"shortname":"~","longname":"Long-wave heating rate anomaly","units":"K s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173169,"shortname":"ssrdara","longname":"Surface solar radiation downwards anomalous rate of accumulation","units":"J m**-2","description":null,"access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173175,"shortname":"strdara","longname":"Surface thermal radiation downwards anomalous rate of accumulation","units":"J m**-2","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean flux of surface thermal radiation downwards is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Surface thermal radiation downwards is the amount of thermal (also known as longwave or terrestrial) radiation emitted by the atmosphere and clouds that reaches the Earth's surface. It is the amount of radiation passing through a horizontal plane. The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.

The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173176,"shortname":"ssrara","longname":"Surface solar radiation anomalous rate of accumulation","units":"J m**-2","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean net surface solar radiation flux is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The net surface solar radiation flux is the amount of solar radiation (also known as shortwave radiation) reaching the surface of the Earth (both direct and diffuse) minus the amount reflected by the Earth's surface (which is governed by the albedo). It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun. The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.

The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173177,"shortname":"strara","longname":"Surface thermal radiation anomalous rate of accumulation","units":"J m**-2","description":"An anomaly is a difference from a defined long-term average. Since the ECMWF convention for vertical fluxes is positive downwards, a positive anomaly means either a larger downward mean net surface thermal radiation flux or a smaller upward flux, compared with the long-term average. A negative anomaly means either a smaller downward flux or a larger upward flux. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Thermal radiation (also known as longwave or terrestrial radiation) refers to radiation emitted by the atmosphere, clouds and the surface of the Earth. The net surface thermal radiation flux is the difference between downward and upward thermal radiation at the surface of the Earth. It is the amount of radiation passing through a horizontal plane.

The atmosphere and clouds emit thermal radiation in all directions, some of which reaches the surface as downward thermal radiation. The upward thermal radiation at the surface consists of thermal radiation emitted by the surface plus the fraction of downwards thermal radiation reflected upward by the surface. See further documentation

The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173178,"shortname":"tsrara","longname":"Top solar radiation anomalous rate of accumulation","units":"J m**-2","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean net flux of solar radiation at the top of the atmosphere is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The net flux of solar radiation (also known as shortwave radiation) at the top of the atmosphere is the incoming solar radiation minus the outgoing solar radiation. It is the amount of radiation passing through a horizontal plane. The incoming solar radiation is the amount received from the Sun. The outgoing solar radiation is the amount reflected and scattered by the Earth's atmosphere and surface. See further documentation.

The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.

The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173179,"shortname":"ttrara","longname":"Top thermal radiation anomalous rate of accumulation","units":"J m**-2","description":"An anomaly is a difference from a defined long-term average. The ECMWF convention for vertical fluxes is positive downwards and the mean flux of thermal radiation at the top of the atmosphere can only be upwards (i.e., negative). Therefore, a positive anomaly means a smaller upward flux of thermal radiation and a negative anomaly means a larger upward flux, compared with the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean flux of thermal radiation (also known as longwave or terrestrial) is the thermal radiation emitted to space at the top of the atmosphere. See further documentation. The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.

The thermal radiation emitted to space at the top of the atmosphere is commonly known as the Outgoing Longwave Radiation (OLR) (but taking a flux from the atmosphere to space as positive).","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173180,"shortname":"ewssara","longname":"East-West surface stress anomalous rate of accumulation","units":"N m**-2","description":"An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the mean East-West surface stress is more eastward (or less westward) than average. A negative anomaly indicates that the mean East-West surface stress is more westward (or less eastward) than the average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. The mean East-West surface stress is the accumulated eastward surface stress divided by the length of the accumulation period, which depends on the data extracted.

The East-West surface stress is the stress on the Earth's surface in the eastward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag. The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface. The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173181,"shortname":"nsssara","longname":"North-South surface stress anomalous rate of accumulation","units":"N m**-2","description":"An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the mean North-South surface stress is more northward (or less southward) than average. A negative anomaly indicates that the mean North-South surface stress is more southward (or less northward) than the average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. The mean North-South surface stress is the accumulated northward surface stress divided by the length of the accumulation period, which depends on the data extracted.

The North-South surface stress is the stress on the Earth's surface in the northward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag. The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface. The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173182,"shortname":"evara","longname":"Time-mean evaporation anomalous rate of accumulation","units":"m of water equivalent s**-1","description":"

An anomaly is a difference from a defined long-term average. The ECMWF Integrated Forecasting System convention is that downward fluxes are positive. Therefore a positive anomaly means either a larger downward mean evaporation flux (more condensation) or a smaller upward flux (less evaporation), compared with the long-term average. A negative anomaly means either a smaller downward flux or a larger upward flux. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Evaporation is the amount of water that has evaporated from the Earth's surface, including a simplified representation of transpiration (from vegetation), into vapour in the air above.The mean evaporation rate is the accumulated evaporation divided by the length of the accumulation period, which depends on the data extracted.

","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173189,"shortname":"sundara","longname":"Sunshine duration anomalous rate of accumulation","units":"dimensionless","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean sunshine duration rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean sunshine duration rate is the accumulated sunshine duration divided by the length of the accumulation period, which depends on the data extracted.

The sunshine duration is the length of time in which the direct solar (shortwave) radiation at the Earth's surface, falling on a plane perpendicular to the direction of the Sun, is greater than or equal to 120 W m-2.

The minimum solar intensity level of 120 W m-2 is defined by the World Meteorological Organisation and is consistent with observed values of sunshine duration from a Campbell-Stokes recorder (sometimes called a Stokes sphere) that can only measure moderately intense sunlight and brighter.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173195,"shortname":"~","longname":"Longitudinal component of gravity wave stress anomaly","units":"N m**-2","description":"","access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173196,"shortname":"~","longname":"Meridional component of gravity wave stress anomaly","units":"N m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173197,"shortname":"~","longname":"Gravity wave dissipation anomaly","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173205,"shortname":"roara","longname":"Runoff anomalous rate of accumulation","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean runoff rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean runoff rate is the total amount of water from rainfall, melting snow, or deep in the soil, that drains away over the surface and under the ground. It is the accumulated amount of water, divided by the length of the accumulation period, which depends on the data extracted.

This quantity represents the depth this water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173208,"shortname":"~","longname":"Top net solar radiation, clear sky anomaly","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173209,"shortname":"~","longname":"Top net thermal radiation, clear sky anomaly","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173210,"shortname":"~","longname":"Surface net solar radiation, clear sky anomaly","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173211,"shortname":"~","longname":"Surface net thermal radiation, clear sky anomaly","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173212,"shortname":"soiara","longname":"Solar insolation anomalous rate of accumulation","units":"W m**-2 s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean solar insolation is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Solar insolation is the incoming radiation from the Sun (also known as solar or shortwave radiation) at the top of the atmosphere (TOA). It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

Solar insolation has a diurnal cycle (as it is defined into a horizontal plane and not a plane perpendicular to the Sun), as well as an annual cycle due to the change in Sun-Earth distance, and the approximately 11-year solar cycle. Solar insolation at the TOA has experienced no absorption, scattering or reflection within the atmosphere (e.g., from clouds, water vapour, ozone, trace gases and aerosol).

The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted. The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173228,"shortname":"tpara","longname":"Total precipitation anomalous rate of accumulation","units":"m s**-1","description":"An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean precipitation rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean precipitation rate is the accumulated precipitation divided by the length of the accumulation period, which depends on the data extracted.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

The units are depth of water equivalent in metres which falls per second. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step .","access_ids":["dissemination"],"origin_ids":[98],"table":173,"mars_request_context":[{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pb","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"em","levtype":"sfc"},{"class":"od","stream":"mmsa","type":"fcmean","levtype":"sfc"}]},{"id":173239,"shortname":"~","longname":"Convective snowfall anomaly","units":"m of water equivalent s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173240,"shortname":"~","longname":"Large scale snowfall anomaly","units":"m of water equivalent s**-1","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":173255,"shortname":"~","longname":"Indicates a missing value","units":"~","description":null,"access_ids":[],"origin_ids":[98],"table":173,"mars_request_context":[]},{"id":174006,"shortname":"~","longname":"Total soil moisture","units":"m","description":null,"access_ids":[],"origin_ids":[98],"table":174,"mars_request_context":[]},{"id":174008,"shortname":"sro","longname":"Surface runoff","units":"kg m**-2","description":"Lateral water flow occurring at the surface\n
[This GRIB2 encoding is only to be used in CARRA/CERRA, S2S and UERRA. Please use paramId 231010 otherwise.]","access_ids":[],"origin_ids":[0,98],"table":174,"mars_request_context":[]},{"id":174010,"shortname":"sswcsdown","longname":"Clear-sky (II) down surface sw flux","units":"W m**-2","description":"","access_ids":[],"origin_ids":[98],"table":174,"mars_request_context":[]},{"id":174013,"shortname":"sswcsup","longname":"Clear-sky (II) up surface sw flux","units":"W m**-2","description":"","access_ids":[],"origin_ids":[98],"table":174,"mars_request_context":[]},{"id":174025,"shortname":"vis15","longname":"Visibility at 1.5m","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":174,"mars_request_context":[]},{"id":174031,"shortname":"~","longname":"Fraction of sea-ice in sea","units":"(0 - 1)","description":null,"access_ids":[],"origin_ids":[98],"table":174,"mars_request_context":[]},{"id":174034,"shortname":"~","longname":"Open-sea surface 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In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which were taken from observations by the MODIS satellite instrument and vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":210,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":210188,"shortname":"aluvpg","longname":"UV visible albedo for direct radiation, geometric component (climatological)","units":"(0 - 1)","description":"Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the volumetric component of the snow-free land-surface albedo for solar radiation with wavelength shorter than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which were taken from observations by the MODIS satellite instrument and vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":210,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":210189,"shortname":"alnipi","longname":"Near IR albedo for direct radiation, isotropic component (climatological)","units":"(0 - 1)","description":"Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the isotropic component of the snow-free land-surface albedo for solar radiation with wavelength longer than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which were taken from observations by the MODIS satellite instrument and vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":210,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":210190,"shortname":"alnipv","longname":"Near IR albedo for direct radiation, volumetric component (climatological)","units":"(0 - 1)","description":"Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the volumetric component of the snow-free land-surface albedo for solar radiation with wavelength greater than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":210,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":210191,"shortname":"alnipg","longname":"Near IR albedo for direct radiation, geometric component (climatological)","units":"(0 - 1)","description":"Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the geometric component of the snow-free land-surface albedo for solar radiation with wavelength greater than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). 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These fields are for internal use by ECMWF and will not be disseminated.
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These fields are for internal use by ECMWF and will not be disseminated.
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These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213119,"shortname":"spp19","longname":"Random pattern 19 for SPP scheme","units":"dimensionless","description":"Pattern 19 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213120,"shortname":"spp20","longname":"Random pattern 20 for SPP scheme","units":"dimensionless","description":"Pattern 20 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213121,"shortname":"spp21","longname":"Random pattern 21 for SPP scheme","units":"dimensionless","description":"Pattern 21 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213122,"shortname":"spp22","longname":"Random pattern 22 for SPP scheme","units":"dimensionless","description":"Pattern 22 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213123,"shortname":"spp23","longname":"Random pattern 23 for SPP scheme","units":"dimensionless","description":"Pattern 23 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213124,"shortname":"spp24","longname":"Random pattern 24 for SPP scheme","units":"dimensionless","description":"Pattern 24 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213125,"shortname":"spp25","longname":"Random pattern 25 for SPP scheme","units":"dimensionless","description":"Pattern 25 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213126,"shortname":"spp26","longname":"Random pattern 26 for SPP scheme","units":"dimensionless","description":"Pattern 26 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213127,"shortname":"spp27","longname":"Random pattern 27 for SPP scheme","units":"dimensionless","description":"Pattern 27 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213128,"shortname":"spp28","longname":"Random pattern 28 for SPP scheme","units":"dimensionless","description":"Pattern 28 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213129,"shortname":"spp29","longname":"Random pattern 29 for SPP scheme","units":"dimensionless","description":"Pattern 29 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213130,"shortname":"spp30","longname":"Random pattern 30 for SPP scheme","units":"dimensionless","description":"Pattern 30 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213131,"shortname":"spp31","longname":"Random pattern 31 for SPP scheme","units":"dimensionless","description":"Pattern 31 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213132,"shortname":"spp32","longname":"Random pattern 32 for SPP scheme","units":"dimensionless","description":"Pattern 32 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213133,"shortname":"spp33","longname":"Random pattern 33 for SPP scheme","units":"dimensionless","description":"Pattern 33 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213134,"shortname":"spp34","longname":"Random pattern 34 for SPP scheme","units":"dimensionless","description":"Pattern 34 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213135,"shortname":"spp35","longname":"Random pattern 35 for SPP scheme","units":"dimensionless","description":"Pattern 35 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213136,"shortname":"spp36","longname":"Random pattern 36 for SPP scheme","units":"dimensionless","description":"Pattern 36 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213137,"shortname":"spp37","longname":"Random pattern 37 for SPP scheme","units":"dimensionless","description":"Pattern 37 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213138,"shortname":"spp38","longname":"Random pattern 38 for SPP scheme","units":"dimensionless","description":"Pattern 38 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213139,"shortname":"spp39","longname":"Random pattern 39 for SPP scheme","units":"dimensionless","description":"Pattern 39 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213140,"shortname":"spp40","longname":"Random pattern 40 for SPP scheme","units":"dimensionless","description":"Pattern 40 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213141,"shortname":"spp41","longname":"Random pattern 41 for SPP scheme","units":"dimensionless","description":"Pattern 41 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213142,"shortname":"spp42","longname":"Random pattern 42 for SPP scheme","units":"dimensionless","description":"Pattern 42 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213143,"shortname":"spp43","longname":"Random pattern 43 for SPP scheme","units":"dimensionless","description":"Pattern 43 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213144,"shortname":"spp44","longname":"Random pattern 44 for SPP scheme","units":"dimensionless","description":"Pattern 44 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213145,"shortname":"spp45","longname":"Random pattern 45 for SPP scheme","units":"dimensionless","description":"Pattern 45 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213146,"shortname":"spp46","longname":"Random pattern 46 for SPP scheme","units":"dimensionless","description":"Pattern 46 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213147,"shortname":"spp47","longname":"Random pattern 47 for SPP scheme","units":"dimensionless","description":"Pattern 47 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213148,"shortname":"spp48","longname":"Random pattern 48 for SPP scheme","units":"dimensionless","description":"Pattern 48 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213149,"shortname":"spp49","longname":"Random pattern 49 for SPP scheme","units":"dimensionless","description":"Pattern 49 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213150,"shortname":"spp50","longname":"Random pattern 50 for SPP scheme","units":"dimensionless","description":"Pattern 50 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another.","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213151,"shortname":"spp51","longname":"Random pattern 51 for SPP scheme","units":"dimensionless","description":"Pattern 51 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213152,"shortname":"spp52","longname":"Random pattern 52 for SPP scheme","units":"dimensionless","description":"Pattern 52 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213153,"shortname":"spp53","longname":"Random pattern 53 for SPP scheme","units":"dimensionless","description":"Pattern 53 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213154,"shortname":"spp54","longname":"Random pattern 54 for SPP scheme","units":"dimensionless","description":"Pattern 54 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213155,"shortname":"spp55","longname":"Random pattern 55 for SPP scheme","units":"dimensionless","description":"Pattern 55 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213156,"shortname":"spp56","longname":"Random pattern 56 for SPP scheme","units":"dimensionless","description":"Pattern 56 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213157,"shortname":"spp57","longname":"Random pattern 57 for SPP scheme","units":"dimensionless","description":"Pattern 57 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213158,"shortname":"spp58","longname":"Random pattern 58 for SPP scheme","units":"dimensionless","description":"Pattern 58 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213159,"shortname":"spp59","longname":"Random pattern 59 for SPP scheme","units":"dimensionless","description":"Pattern 59 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213160,"shortname":"spp60","longname":"Random pattern 60 for SPP scheme","units":"dimensionless","description":"Pattern 60 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"al"},{"class":"od","stream":"elda","type":"fc","levtype":"al"}]},{"id":213161,"shortname":"spp61","longname":"Random pattern 61 for SPP scheme","units":"dimensionless","description":"Pattern 61 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213162,"shortname":"spp62","longname":"Random pattern 62 for SPP scheme","units":"dimensionless","description":"Pattern 62 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213163,"shortname":"spp63","longname":"Random pattern 63 for SPP scheme","units":"dimensionless","description":"Pattern 63 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213164,"shortname":"spp64","longname":"Random pattern 64 for SPP scheme","units":"dimensionless","description":"Pattern 64 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213165,"shortname":"spp65","longname":"Random pattern 65 for SPP scheme","units":"dimensionless","description":"Pattern 65 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213166,"shortname":"spp66","longname":"Random pattern 66 for SPP scheme","units":"dimensionless","description":"Pattern 66 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213167,"shortname":"spp67","longname":"Random pattern 67 for SPP scheme","units":"dimensionless","description":"Pattern 67 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213168,"shortname":"spp68","longname":"Random pattern 68 for SPP scheme","units":"dimensionless","description":"Pattern 68 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213169,"shortname":"spp69","longname":"Random pattern 69 for SPP scheme","units":"dimensionless","description":"Pattern 69 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213170,"shortname":"spp70","longname":"Random pattern 70 for SPP scheme","units":"dimensionless","description":"Pattern 70 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213171,"shortname":"spp71","longname":"Random pattern 71 for SPP scheme","units":"dimensionless","description":"Pattern 71 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213172,"shortname":"spp72","longname":"Random pattern 72 for SPP scheme","units":"dimensionless","description":"Pattern 72 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213173,"shortname":"spp73","longname":"Random pattern 73 for SPP scheme","units":"dimensionless","description":"Pattern 73 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213174,"shortname":"spp74","longname":"Random pattern 74 for SPP scheme","units":"dimensionless","description":"Pattern 74 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213175,"shortname":"spp75","longname":"Random pattern 75 for SPP scheme","units":"dimensionless","description":"Pattern 75 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213176,"shortname":"spp76","longname":"Random pattern 76 for SPP scheme","units":"dimensionless","description":"Pattern 76 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213177,"shortname":"spp77","longname":"Random pattern 77 for SPP scheme","units":"dimensionless","description":"Pattern 77 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213178,"shortname":"spp78","longname":"Random pattern 78 for SPP scheme","units":"dimensionless","description":"Pattern 78 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213179,"shortname":"spp79","longname":"Random pattern 79 for SPP scheme","units":"dimensionless","description":"Pattern 79 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213180,"shortname":"spp80","longname":"Random pattern 80 for SPP scheme","units":"dimensionless","description":"Pattern 80 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213181,"shortname":"spp81","longname":"Random pattern 81 for SPP scheme","units":"dimensionless","description":"Pattern 81 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213182,"shortname":"spp82","longname":"Random pattern 82 for SPP scheme","units":"dimensionless","description":"Pattern 82 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213183,"shortname":"spp83","longname":"Random pattern 83 for SPP scheme","units":"dimensionless","description":"Pattern 83 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213184,"shortname":"spp84","longname":"Random pattern 84 for SPP scheme","units":"dimensionless","description":"Pattern 84 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213185,"shortname":"spp85","longname":"Random pattern 85 for SPP scheme","units":"dimensionless","description":"Pattern 85 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213186,"shortname":"spp86","longname":"Random pattern 86 for SPP scheme","units":"dimensionless","description":"Pattern 86 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213187,"shortname":"spp87","longname":"Random pattern 87 for SPP scheme","units":"dimensionless","description":"Pattern 87 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213188,"shortname":"spp88","longname":"Random pattern 88 for SPP scheme","units":"dimensionless","description":"Pattern 88 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213189,"shortname":"spp89","longname":"Random pattern 89 for SPP scheme","units":"dimensionless","description":"Pattern 89 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213190,"shortname":"spp90","longname":"Random pattern 90 for SPP scheme","units":"dimensionless","description":"Pattern 90 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213191,"shortname":"spp91","longname":"Random pattern 91 for SPP scheme","units":"dimensionless","description":"Pattern 91 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213192,"shortname":"spp92","longname":"Random pattern 92 for SPP scheme","units":"dimensionless","description":"Pattern 92 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213193,"shortname":"spp93","longname":"Random pattern 93 for SPP scheme","units":"dimensionless","description":"Pattern 93 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213194,"shortname":"spp94","longname":"Random pattern 94 for SPP scheme","units":"dimensionless","description":"Pattern 94 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213195,"shortname":"spp95","longname":"Random pattern 95 for SPP scheme","units":"dimensionless","description":"Pattern 95 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213196,"shortname":"spp96","longname":"Random pattern 96 for SPP scheme","units":"dimensionless","description":"Pattern 96 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213197,"shortname":"spp97","longname":"Random pattern 97 for SPP scheme","units":"dimensionless","description":"Pattern 97 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213198,"shortname":"spp98","longname":"Random pattern 98 for SPP scheme","units":"dimensionless","description":"Pattern 98 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213199,"shortname":"spp99","longname":"Random pattern 99 for SPP scheme","units":"dimensionless","description":"Pattern 99 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213200,"shortname":"spp100","longname":"Random pattern 100 for SPP scheme","units":"dimensionless","description":"Pattern 100 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213201,"shortname":"spp101","longname":"Random pattern 101 for SPP scheme","units":"dimensionless","description":"Pattern 101 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213202,"shortname":"spp102","longname":"Random pattern 102 for SPP scheme","units":"dimensionless","description":"Pattern 102 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213203,"shortname":"spp103","longname":"Random pattern 103 for SPP scheme","units":"dimensionless","description":"Pattern 103 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213204,"shortname":"spp104","longname":"Random pattern 104 for SPP scheme","units":"dimensionless","description":"Pattern 104 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213205,"shortname":"spp105","longname":"Random pattern 105 for SPP scheme","units":"dimensionless","description":"Pattern 105 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213206,"shortname":"spp106","longname":"Random pattern 106 for SPP scheme","units":"dimensionless","description":"Pattern 106 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213207,"shortname":"spp107","longname":"Random pattern 107 for SPP scheme","units":"dimensionless","description":"Pattern 107 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213208,"shortname":"spp108","longname":"Random pattern 108 for SPP scheme","units":"dimensionless","description":"Pattern 108 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213209,"shortname":"spp109","longname":"Random pattern 109 for SPP scheme","units":"dimensionless","description":"Pattern 109 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213210,"shortname":"spp110","longname":"Random pattern 110 for SPP scheme","units":"dimensionless","description":"Pattern 110 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213211,"shortname":"spp111","longname":"Random pattern 111 for SPP scheme","units":"dimensionless","description":"Pattern 111 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213212,"shortname":"spp112","longname":"Random pattern 112 for SPP scheme","units":"dimensionless","description":"Pattern 112 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213213,"shortname":"spp113","longname":"Random pattern 113 for SPP scheme","units":"dimensionless","description":"Pattern 113 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213214,"shortname":"spp114","longname":"Random pattern 114 for SPP scheme","units":"dimensionless","description":"Pattern 114 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213215,"shortname":"spp115","longname":"Random pattern 115 for SPP scheme","units":"dimensionless","description":"Pattern 115 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another","access_ids":[],"origin_ids":[0,98],"table":213,"mars_request_context":[]},{"id":213216,"shortname":"spp116","longname":"Random pattern 116 for SPP scheme","units":"dimensionless","description":"Pattern 116 for Stochastically 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wet deposition mass flux of Isoprene","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223017,"shortname":"acc_wet_depm_SO2","longname":"Time-integrated wet deposition mass flux of Sulphur dioxide","units":"kg m**-2","description":null,"access_ids":["dissemination"],"origin_ids":[0],"table":223,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":223019,"shortname":"acc_wet_depm_NH3","longname":"Time-integrated wet deposition mass flux of Ammonia","units":"kg m**-2","description":null,"access_ids":["dissemination"],"origin_ids":[0],"table":223,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":223020,"shortname":"acc_wet_depm_SO4","longname":"Time-integrated wet deposition mass flux of Sulfate","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223021,"shortname":"acc_wet_depm_NH4","longname":"Time-integrated wet deposition mass flux of Ammonium","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223022,"shortname":"acc_wet_depm_MSA","longname":"Time-integrated wet deposition mass flux of Methane sulfonic acid","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223023,"shortname":"acc_wet_depm_CH3COCHO","longname":"Time-integrated wet deposition mass flux of Methyl glyoxal","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223025,"shortname":"acc_wet_depm_CO","longname":"Time-integrated wet deposition mass flux of Carbon monoxide","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223026,"shortname":"acc_wet_depm_Pb","longname":"Time-integrated wet deposition mass flux of Lead","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223027,"shortname":"acc_wet_depm_NO","longname":"Time-integrated wet deposition mass flux of Nitrogen monoxide","units":"kg m**-2","description":null,"access_ids":["dissemination"],"origin_ids":[0],"table":223,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":223028,"shortname":"acc_wet_depm_HO2","longname":"Time-integrated wet deposition mass flux of Hydroperoxy radical","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223029,"shortname":"acc_wet_depm_CH3O2","longname":"Time-integrated wet deposition mass flux of Methylperoxy radical","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223031,"shortname":"acc_wet_depm_NO2","longname":"Time-integrated wet deposition mass flux of Nitrogen dioxide","units":"kg m**-2","description":null,"access_ids":["dissemination"],"origin_ids":[0],"table":223,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":223032,"shortname":"acc_wet_depm_NO3","longname":"Time-integrated wet deposition mass flux of Nitrate radical","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223033,"shortname":"acc_wet_depm_N2O5","longname":"Time-integrated wet deposition mass flux of Dinitrogen pentoxide","units":"kg m**-2","description":null,"access_ids":["dissemination"],"origin_ids":[0],"table":223,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":223034,"shortname":"acc_wet_depm_HO2NO2","longname":"Time-integrated wet deposition mass flux of Pernitric acid","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223042,"shortname":"acc_wet_depm_CH3OH","longname":"Time-integrated wet deposition mass flux of Methanol","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223043,"shortname":"acc_wet_depm_HCOOH","longname":"Time-integrated wet deposition mass flux of Formic acid","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223044,"shortname":"acc_wet_depm_MCOOH","longname":"Time-integrated wet deposition mass flux of Methacrylic acid","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223045,"shortname":"acc_wet_depm_C2H6","longname":"Time-integrated wet deposition mass flux of Ethane","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223046,"shortname":"acc_wet_depm_C2H5OH","longname":"Time-integrated wet deposition mass flux of Ethanol","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223050,"shortname":"acc_wet_depm_ISPD","longname":"Time-integrated wet deposition mass flux of Methacrolein","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223051,"shortname":"acc_wet_depm_NO3_A","longname":"Time-integrated wet deposition mass flux of Nitrate","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":223,"mars_request_context":[]},{"id":223052,"shortname":"acc_wet_depm_CH3COCH3","longname":"Time-integrated wet deposition mass flux of Acetone","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223064,"shortname":"acc_wet_depm_CLONO2","longname":"Time-integrated wet deposition mass flux of Chlorine nitrate","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223065,"shortname":"acc_wet_depm_HOCL","longname":"Time-integrated wet deposition mass flux of Hypochlorous acid","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223068,"shortname":"acc_wet_depm_HBR","longname":"Time-integrated wet deposition mass flux of Hydrogen bromide","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223070,"shortname":"acc_wet_depm_HOBR","longname":"Time-integrated wet deposition mass flux of Hypobromous acid","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223086,"shortname":"acc_wet_depm_HONO","longname":"Time-integrated wet deposition mass flux of Nitrous acid","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223099,"shortname":"acc_wet_depm_TOL","longname":"Time-integrated wet deposition mass flux of Toluene and less reactive aromatics","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223100,"shortname":"acc_wet_depm_XYL","longname":"Time-integrated wet deposition mass flux of Xylene and more reactive aromatics","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223101,"shortname":"acc_wet_depm_GLYALD","longname":"Time-integrated wet deposition mass flux of Glycolaldehyde","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223107,"shortname":"acc_wet_depm_GLY","longname":"Time-integrated wet deposition mass flux of Glyoxal","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223118,"shortname":"acc_wet_depm_HYAC","longname":"Time-integrated wet deposition mass flux of Hydroxyacetone","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223161,"shortname":"acc_wet_depm_ISOPOOH","longname":"Time-integrated wet deposition mass flux of all hydroxy-peroxides products of the reaction of hydroxy-isoprene adducts with O2","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223186,"shortname":"acc_wet_depm_SOG1","longname":"Time-integrated wet deposition mass flux of Condensable gas type 1","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":223,"mars_request_context":[]},{"id":223187,"shortname":"acc_wet_depm_SOG2A","longname":"Time-integrated wet deposition mass flux of Condensable gas type 2a","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":223,"mars_request_context":[]},{"id":223188,"shortname":"acc_wet_depm_SOG2B","longname":"Time-integrated wet deposition mass flux of Condensable gas type 2b","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":223,"mars_request_context":[]},{"id":223194,"shortname":"acc_wet_depm_BRONO2","longname":"Time-integrated wet deposition mass flux of Bromine nitrate","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223200,"shortname":"acc_wet_depm_HCL","longname":"Time-integrated wet deposition mass flux of Hydrogen chloride","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223224,"shortname":"acc_wet_depm_CH3CN","longname":"Time-integrated wet deposition mass flux of Acetonitrile","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223226,"shortname":"acc_wet_depm_HCN","longname":"Time-integrated wet deposition mass flux of Hydrogen cyanide","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223227,"shortname":"acc_wet_depm_HPALD1","longname":"Time-integrated wet deposition mass flux of Hydroperoxy aldehydes type 1","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":223228,"shortname":"acc_wet_depm_HPALD2","longname":"Time-integrated wet deposition mass flux of Hydroperoxy aldehydes type 2","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":223,"mars_request_context":[]},{"id":228001,"shortname":"cin","longname":"Convective inhibition","units":"J kg**-1","description":"This parameter is a measure of the amount of energy required for convection to commence. If the value of this parameter is too high, then deep, moist convection is unlikely to occur even if the convective available potential energy or convective available potential energy shear are large. CIN values greater than 200 J kg-1 would be considered high.

An atmospheric layer where temperature increases with height (known as a temperature inversion) would inhibit convective uplift and is a situation in which convective inhibition would be large.","access_ids":[],"origin_ids":[0,7,98],"table":228,"mars_request_context":[]},{"id":228002,"shortname":"orog","longname":"Orography","units":"m","description":null,"access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228003,"shortname":"zust","longname":"Friction velocity","units":"m s**-1","description":"Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is a theoretical wind speed at the Earth's surface that expresses the magnitude of stress. It is calculated by dividing the surface stress by air density and taking its square root. For turbulent flow, the friction velocity is approximately constant in the lowest few metres of the atmosphere.

This parameter increases with the roughness of the surface. It is used to calculate the way wind changes with height in the lowest levels of the atmosphere.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228004,"shortname":"avg_2t","longname":"Time-mean 2 metre temperature","units":"K","description":null,"access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eehs","type":"cd","levtype":"sfc"},{"class":"od","stream":"eehs","type":"em","levtype":"sfc"},{"class":"od","stream":"eehs","type":"es","levtype":"sfc"},{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"}]},{"id":228005,"shortname":"avg_10ws","longname":"Time-mean 10 metre wind speed","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"}]},{"id":228006,"shortname":"meantcc","longname":"Mean total cloud cover","units":"(0 - 1)","description":null,"access_ids":[],"origin_ids":[-90,-70,98],"table":228,"mars_request_context":[{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"}]},{"id":228007,"shortname":"dl","longname":"Lake total depth","units":"m","description":"This parameter is the mean depth of inland water bodies (lakes, reservoirs and rivers) and coastal waters. This field is specified from in-situ measurements and indirect estimates and is constant in time.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228008,"shortname":"lmlt","longname":"Lake mix-layer temperature","units":"K","description":"This parameter is the temperature of the uppermost layer of inland water bodies (lakes, reservoirs and rivers) or coastal waters, that is well mixed and has a near constant temperature with depth (i.e., a uniform distribution of temperature with depth).

The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below. The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

Mixing within the mixed layer can occur when the density of the surface (and near-surface) water is greater than that of the water below. Mixing can also occur through the action of wind on the surface of the lake.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228009,"shortname":"lmld","longname":"Lake mix-layer depth","units":"m","description":"This parameter is the thickness of the uppermost layer of inland water bodies (lakes, reservoirs and rivers) or coastal waters, that is well mixed and has a near constant temperature with depth (i.e., a uniform distribution of temperature with depth).

The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below, where temperature changes with depth. The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

Mixing within the mixed layer can occur when the density of the surface (and near-surface) water is greater than that of the water below. Mixing can also occur through the action of wind on the surface of the lake.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228010,"shortname":"lblt","longname":"Lake bottom temperature","units":"K","description":"This parameter is the temperature of water at the bottom of inland water bodies (lakes, reservoirs, rivers) and coastal waters.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228011,"shortname":"ltlt","longname":"Lake total layer temperature","units":"K","description":"This parameter is the mean temperature of the total water column in inland water bodies (lakes, reservoirs and rivers) and coastal waters.

The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below, where temperature changes with depth. This parameter is the mean over the two layers.

The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228012,"shortname":"lshf","longname":"Lake shape factor","units":"dimensionless","description":"This parameter describes the way that temperature changes with depth in the thermocline layer of inland water bodies (lakes, reservoirs and rivers) and coastal waters (i.e., it describes the shape of the vertical temperature profile). It is used to calculate the lake bottom temperature and other lake-related parameters.

The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below, where temperature changes with depth. The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228013,"shortname":"lict","longname":"Lake ice surface temperature","units":"K","description":"This parameter is the temperature of the uppermost surface of ice on inland water bodies (lakes, reservoirs, and rivers) and coastal waters. That is the temperature at the ice/atmosphere or ice/snow interface.

The ECMWF Integrated Forecasting System represents the formation and melting of ice on lakes. A single ice layer is represented.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228014,"shortname":"licd","longname":"Lake ice total depth","units":"m","description":"This parameter is the thickness of ice on inland water bodies (lakes, reservoirs and rivers) and coastal waters.

The ECMWF Integrated Forecasting System represents the formation and melting of ice on inland water bodies. A single ice layer is represented. This parameter is the thickness of that ice layer.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"mmsf","type":"fc","levtype":"sfc"},{"class":"od","stream":"msmm","type":"em","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"msmm","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"msmm","type":"hcmean","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228015,"shortname":"dndzn","longname":"Minimum vertical gradient of refractivity inside trapping layer","units":"m**-1","description":"Minimum vertical gradient of atmospheric refractivity inside trapping layer.
A duct layer is an atmospheric layer with a refractivity which leads to a trapping of electromagnetic waves. In a trapping layer the refractivity leads to a bending of EM waves, which is stronger than the earth's curvature.","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228016,"shortname":"dndza","longname":"Mean vertical gradient of refractivity inside trapping layer","units":"m**-1","description":"Minimum vertical gradient of atmospheric refractivity\r\ninside trapping layer.
A duct layer is an atmospheric layer with a refractivity which leads to a trapping of electromagnetic waves. In a trapping layer the refractivity leads to a bending of EM waves, which is stronger than the earth's curvature.","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228017,"shortname":"dctb","longname":"Duct base height","units":"m","description":"Duct base height as diagnosed from vertical gradient of atmospheric refractivity.
A duct layer is an atmospheric layer with a refractivity which leads to a trapping of electromagnetic waves. In a trapping layer the refractivity leads to a bending of EM waves, which is stronger than the earth's curvature.","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228018,"shortname":"tplb","longname":"Trapping layer base height","units":"m","description":"Trapping layer base height as diagnosed from vertical\r\ngradient of atmospheric refractivity.
A duct layer is an atmospheric layer with a refractivity which leads to a trapping of electromagnetic waves. In a trapping layer the refractivity leads to a bending of EM waves, which is stronger than the earth's curvature.","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228019,"shortname":"tplt","longname":"Trapping layer top height","units":"m","description":"Trapping layer top height as diagnosed from vertical\r\ngradient of atmospheric refractivity.
A duct layer is an atmospheric layer with a refractivity which leads to a trapping of electromagnetic waves. In a trapping layer the refractivity leads to a bending of EM waves, which is stronger than the earth's curvature.","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228020,"shortname":"degm10l","longname":"Geometric height of -10 degrees C atmospheric isothermal level above ground","units":"m","description":"The height above the Earth's surface where the temperature crosses the -10 degree isotherm. If more than one crossing is encountered, then the -10 degree level corresponds to the top of the second atmospheric layer.\r\nThis parameter is set to zero when the temperature in the whole atmosphere is below -10 degrees C.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228021,"shortname":"fdir","longname":"Surface direct short-wave (solar) radiation","units":"J m**-2","description":"

This parameter is the amount of direct solar radiation (also known as shortwave radiation) reaching the surface of the Earth. It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation). See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228022,"shortname":"cdir","longname":"Surface direct short-wave radiation, clear sky","units":"J m**-2","description":"This parameter is the amount of direct radiation from the Sun (also known as solar or shortwave radiation) reaching the surface of the Earth, assuming clear-sky (cloudless) conditions. It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation). See further documentation.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as the corresponding total-sky quantities (clouds included), but assuming that the clouds are not there.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228023,"shortname":"cbh","longname":"Cloud base height","units":"m","description":"The height above the Earth's surface of the base of the lowest cloud layer, at the specified time.

This parameter is calculated by searching from the second lowest model level upwards, to the height of the level where cloud fraction becomes greater than 1% and condensate content greater than 1.E-6 kg kg-1. Fog (i.e., cloud in the lowest model layer) is not considered when defining cloud base height.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228024,"shortname":"deg0l","longname":"Geometric height of 0 degrees C atmospheric isothermal level above ground","units":"m","description":"The height above the Earth's surface where the temperature passes from positive to negative values, corresponding to the top of a warm layer, at the specified time. This parameter can be used to help forecast snow.

If more than one warm layer is encountered, then the zero degree level corresponds to the top of the second atmospheric layer.

This parameter is set to zero when the temperature in the whole atmosphere is below 0℃.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228025,"shortname":"hvis","longname":"Horizontal visibility","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228026,"shortname":"mx2t3","longname":"Maximum temperature at 2 metres in the last 3 hours","units":"K","description":"The highest value of 2 metre temperature in the previous 3 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"em","levtype":"sfc"},{"class":"od","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228027,"shortname":"mn2t3","longname":"Minimum temperature at 2 metres in the last 3 hours","units":"K","description":"The lowest value of 2 metre temperature in the previous 3 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.","access_ids":["dissemination"],"origin_ids":[98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"em","levtype":"sfc"},{"class":"od","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228028,"shortname":"10fg3","longname":"Maximum 10 metre wind gust in the last 3 hours","units":"m s**-1","description":"This parameter is the maximum wind gust in the last 3 hours at a height of ten metres above the surface of the Earth.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during the last 3 hours.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228029,"shortname":"i10fg","longname":"Instantaneous 10 metre wind gust","units":"m s**-1","description":"This parameter is the maximum wind gust at the specified time, at a height of ten metres above the surface of the Earth.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step , and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228030,"shortname":"rhw","longname":"Relative humidity with respect to water","units":"%","description":"The relative humidity with respect to water of moist air at pressure p and temperature T is the ratio in per cent of the vapour mole fraction xv to the vapour mole fraction xvw which the air would have if it were saturated with respect to water at the same pressure p and temperature T","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[]},{"id":228031,"shortname":"rhi","longname":"Relative humidity with respect to ice","units":"%","description":"The relative humidity with respect to ice of moist air at pressure p and temperature T is the ratio in per cent of the vapour mole fraction xv to the vapour mole fraction xvi which the air would have if it were saturated with respect to ice at the same pressure p and temperature T","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[]},{"id":228032,"shortname":"asn","longname":"Snow albedo","units":"%","description":"The broadband albedo of snow.\n
[NOTE: See 32 for the equivalent parameter in \"(0-1)\"]","access_ids":[],"origin_ids":[-40,-20,0],"table":228,"mars_request_context":[]},{"id":228034,"shortname":"fcpc","longname":"Fraction of convective precipitation cover","units":"Proportion","description":"Horizontal fraction of the grid box covered by convective precipitation","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[]},{"id":228035,"shortname":"mxcape6","longname":"Maximum CAPE in the last 6 hours","units":"J kg**-1","description":"

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

The maximum CAPE (convective available potential energy) value that has occurred over the last 6 hours.

CAPE is an indication of the instability (or stability) of the atmosphere and can be used to assess the potential for the development of deep convection. When air rises through a large depth of the atmosphere, extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result. 

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228036,"shortname":"mxcapes6","longname":"Maximum CAPES in the last 6 hours","units":"m**2 s**-2","description":"

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

The maximum CAPES (convective available potential energy shear) value that has occurred over the last 6 hours.

High values of CAPES indicate where deep, organised convection is more likely to occur, if it is initiated. When air rises through a large depth of the atmosphere, extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result. 

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228037,"shortname":"2rhw","longname":"2 metre relative humidity with respect to water","units":"%","description":"See 228030","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228038,"shortname":"lwcs","longname":"Liquid water content in snow pack","units":"kg m**-2","description":"This parameter represent the liquid water content in snow pack, i.e. the amount of water in its liquid form (not frozen/snowflake/etc). This is an indicator of how \"wet\" the snow is.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sol"},{"class":"od","stream":"eefh","type":"pf","levtype":"sol"},{"class":"od","stream":"eefo","type":"cf","levtype":"sol"},{"class":"od","stream":"eefo","type":"pf","levtype":"sol"},{"class":"od","stream":"elda","type":"an","levtype":"sol"},{"class":"od","stream":"elda","type":"fc","levtype":"sol"},{"class":"od","stream":"enfh","type":"cf","levtype":"sol"},{"class":"od","stream":"enfh","type":"pf","levtype":"sol"},{"class":"od","stream":"enfo","type":"pf","levtype":"sol"},{"class":"od","stream":"lwda","type":"an","levtype":"sol"},{"class":"od","stream":"lwda","type":"fc","levtype":"sol"},{"class":"od","stream":"oper","type":"an","levtype":"sol"},{"class":"od","stream":"oper","type":"fc","levtype":"sol"}]},{"id":228039,"shortname":"sm","longname":"Soil moisture","units":"kg m**-3","description":"

This GRIB2 encoding is only to be used in TIGGE as it is WMO deprecated. Please use paramId 260368 otherwise.

","access_ids":[],"origin_ids":[-30,0,98],"table":228,"mars_request_context":[]},{"id":228040,"shortname":"swi1","longname":"Soil wetness index in layer 1","units":"dimensionless","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228041,"shortname":"swi2","longname":"Soil wetness index in layer 2","units":"dimensionless","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228042,"shortname":"swi3","longname":"Soil wetness index in layer 3","units":"dimensionless","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228043,"shortname":"swi4","longname":"Soil wetness index in layer 4","units":"dimensionless","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228044,"shortname":"capes","longname":"Convective available potential energy shear","units":"m**2 s**-2","description":"

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

High values of this parameter indicate where deep, organised convection is more likely to occur, if it is initiated. When air rises through a large depth of the atmosphere, extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result.

The likelihood of severe weather and its level of intensity tend to increase with increasing organisation of convection. Convective supercells are the most prominent example. Such organised areas of convection tend to occur where wind (intensity and/or direction) changes rapidly with height i.e., areas with strong vertical wind shear.

This parameter is the product of wind shear and the square root of convective available potential energy (CAPE). The wind shear denotes bulk shear which is a vector difference of winds at two different heights in the atmosphere (925 hPa and 500 hPa). The square root of CAPE is proportional to the maximum vertical velocity in convective updraughts.

To help determine whether deep, moist convection will be initiated or not, the probability forecast for precipitation (for example) can be used, in conjunction with this parameter.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"efhs","type":"cd","levtype":"sfc"},{"class":"od","stream":"efhs","type":"em","levtype":"sfc"},{"class":"od","stream":"efhs","type":"es","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228045,"shortname":"trpp","longname":"Tropopause pressure","units":"Pa","description":"This parameter uses a stability-based definition of the tropopause. The use of this parameter is recommended for the tropical belt (typically +-30 degrees). Outside of this belt the pressure of the surface PV=2 (Potential Vorticity = 2 PV units) provides a more appropriate measure of the tropopause height.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228046,"shortname":"hcct","longname":"Height of convective cloud top","units":"m","description":"The height above the Earth's surface of the top of convective cloud produced by the ECMWF Integrated Forecasting System convection scheme, at the specified time. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228047,"shortname":"hwbt0","longname":"Height of zero-degree wet-bulb temperature","units":"m","description":"The height above the Earth's surface where the wet-bulb temperature drops to 0℃, at the specified time. This parameter can be used to help forecast snow.

The wet-bulb temperature is the temperature to which the air must drop to become saturated with moisture (keeping pressure constant and accounting only for latent heat). It can also be defined as the temperature recorded by a thermometer with its bulb covered by a wet cloth or wick. The greater the difference between the dry-bulb and wet-bulb temperature, the lower the humidity.

This parameter is set to zero when the wet bulb temperature in the whole atmosphere is below 0℃.\r\n\r\nSee here for further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228048,"shortname":"hwbt1","longname":"Height of one-degree wet-bulb temperature","units":"m","description":"The height above the Earth's surface where the wet-bulb temperature drops to 1℃, at the specified time. This parameter can be used to help forecast snow.

The wet-bulb temperature is the temperature to which the air must drop to become saturated with moisture (keeping pressure constant and accounting only for latent heat). It can also be defined as the temperature recorded by a thermometer with its bulb covered by a wet cloth or wick. The greater the difference between the dry-bulb and wet-bulb temperature, the lower the humidity.

This parameter is set to zero when the wet bulb temperature in the whole atmosphere is below 1℃.\r\n\r\nSee here for further information.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228050,"shortname":"litoti","longname":"Instantaneous total lightning flash density","units":"km**-2 day**-1","description":"This parameter gives the total lightning flash rate at the specified time. Users should be aware that it is prone to large errors, e.g. due to any spatial and temporal discrepancies between model convection and observed convection.

Note that this parameter has units of flashes per square kilometre per day. Conversion of this parameter to units of flashes per 100 square kilometres per hour can give values that are easier to interpret.

This parameter accounts for cloud-to-ground flashes (between the the cloud and the Earth's surface) and intra-cloud flashes (between two cloud regions of opposite electric charge). In the ECMWF Integrated Forecasting System, the total lightning flash density is calculated using an empirical formula involving convective cloud and precipitation information, convective available potential energy (CAPE) and convective cloud base height, which are diagnosed by the convection scheme. ","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228051,"shortname":"litota1","longname":"Averaged total lightning flash density in the last hour","units":"km**-2 day**-1","description":"Averaged total (cloud-to-cloud and cloud-to-ground) lightning flash density in the last hour.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228052,"shortname":"licgi","longname":"Instantaneous cloud-to-ground lightning flash density","units":"km**-2 day**-1","description":"Instantaneous value of cloud-to-ground lightning flash density.","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228053,"shortname":"licga1","longname":"Averaged cloud-to-ground lightning flash density in the last hour","units":"km**-2 day**-1","description":"Averaged cloud-to-ground lightning flash density in the last hour.","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228054,"shortname":"ucq","longname":"Unbalanced component of specific humidity","units":"kg kg**-1","description":"Unbalanced component of grid-box mean specific humidity.

\nResidual resulting from subtracting from specific humidity (mass of water vapour / mass of moist air) an\napproximate \"balanced\" value derived from relevant variable(s)","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[]},{"id":228055,"shortname":"ucclwc","longname":"Unbalanced component of specific cloud liquid water content","units":"kg kg**-1","description":"Unbalanced component of grid-box mean specific cloud liquid water content.

\nResidual resulting from subtracting from specific cloud liquid water content (mass of condensate / mass of moist air) an approximate \"balanced\"\nvalue derived from relevant variable(s)","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"}]},{"id":228056,"shortname":"ucciwc","longname":"Unbalanced component of specific cloud ice water content","units":"kg kg**-1","description":"Unbalanced component of grid-box mean specific cloud ice water content.

\nResidual resulting from subtracting from specific cloud ice water content (mass of condensate / mass of moist air)\nan approximate \"balanced\" value derived from relevant variable(s)","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"elda","type":"em","levtype":"ml"},{"class":"od","stream":"elda","type":"es","levtype":"ml"},{"class":"od","stream":"elda","type":"ses","levtype":"ml"}]},{"id":228057,"shortname":"litota3","longname":"Averaged total lightning flash density in the last 3 hours","units":"km**-2 day**-1","description":"This parameter gives the total lightning flash rate averaged over the last 3 hours.

Note that this parameter has units of flashes per square kilometre per day. Conversion of this parameter to units of flashes per 100 square kilometres per hour can give values that are easier to interpret.

This parameter accounts for cloud-to-ground flashes (between the cloud and the Earth's surface ) and intra-cloud flashes (between two cloud regions of opposite electric charge). In the ECMWF Integrated Forecasting System, the total lightning flash density is calculated using an empirical formula involving convective cloud and precipitation information, convective available potential energy (CAPE) and convective cloud base height, which are diagnosed by the convection scheme.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228058,"shortname":"litota6","longname":"Averaged total lightning flash density in the last 6 hours","units":"km**-2 day**-1","description":"This parameter gives the total lightning flash rate averaged over the last 6 hours.

Note that this parameter has units of flashes per square kilometre per day. Conversion of this parameter to units of flashes per 100 square kilometres per hour can give values that are easier to interpret.

This parameter accounts for cloud-to-ground flashes (between the cloud and the Earth's surface ) and intra-cloud flashes (between two cloud regions of opposite electric charge). In the ECMWF Integrated Forecasting System, the total lightning flash density is calculated using an empirical formula involving convective cloud and precipitation information, convective available potential energy (CAPE) and convective cloud base height, which are diagnosed by the convection scheme. ","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228059,"shortname":"licga3","longname":"Averaged cloud-to-ground lightning flash density in the last 3 hours","units":"km**-2 day**-1","description":"Averaged cloud-to-ground lightning flash density in the last 3 hours.","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[]},{"id":228060,"shortname":"licga6","longname":"Averaged cloud-to-ground lightning flash density in the last 6 hours","units":"km**-2 day**-1","description":"Averaged cloud-to-ground lightning flash density in the last 6 hours.","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[]},{"id":228070,"shortname":"smnnob","longname":"SMOS observed soil moisture retrieved using neural network","units":"m**3 m**-3","description":"Observed soil moisture retrieved from passive microwave using neural network","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228071,"shortname":"smnner","longname":"SMOS observed soil moisture uncertainty retrieved using neural network","units":"m**3 m**-3","description":"Observed soil moisture uncertainty retrieved from passive microwave using neural network","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228072,"shortname":"smnnrfi","longname":"SMOS radio frequency interference probability","units":"%","description":"Frequency Interference probability in the observed passive microwave","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228073,"shortname":"smnnnb","longname":"SMOS number of observations per grid point","units":"dimensionless","description":"Number of soil moisture observations per grid point","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228074,"shortname":"smnntim","longname":"SMOS observation time for the satellite soil moisture data","units":"hour","description":"Observation time for the satellite soil moisture data","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228078,"shortname":"gppbfas","longname":"GPP coefficient from Biogenic Flux Adjustment System","units":"dimensionless","description":"The two parameters \"gppbfas\" and \"recbfas\" are dimensionless re-scaling factors which are applied to the\nCO2 ecosystem fluxes from the Carbon module (CTESSEL) in the IFS:\n
    \r\n
  • gppbfas is applied to the Gross Primary Production (GPP)
    • \r\n
  • recbfas is applied to the ecosystem Respiration (Reco)
    • \n
\r\nThe factors are used in order to reduce the biases of the CO2 ecosystem fluxes which are used in the operational CAMS CO2 forecast/analysis.\r\nThey are currently computed before the beginning of the forecast by comparing the Net Ecosystem Exchange budget of the model (NEE=GPP+Reco) within a 10-day window and a reference climatology (based on optimized fluxes) plus/minus the NEE budget anomaly of the model.\r\nIn the long term, these factors will be adjusted by the data assimilation system using flux and/or atmospheric CO2 observations.","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228079,"shortname":"recbfas","longname":"Rec coefficient from Biogenic Flux Adjustment System","units":"dimensionless","description":"The two parameters \"gppbfas\" and \"recbfas\" are dimensionless re-scaling factors which are applied to the\nCO2 ecosystem fluxes from the Carbon module (CTESSEL) in the IFS:\n
    \n
  • gppbfas is applied to the Gross Primary Production (GPP)
    • \n
  • recbfas is applied to the ecosystem Respiration (Reco)
    • \n
\nThe factors are used in order to reduce the biases of the CO2 ecosystem fluxes which are used in the operational CAMS CO2 forecast/analysis.\nThey are currently computed before the beginning of the forecast by comparing the Net Ecosystem Exchange budget of the model (NEE=GPP+Reco) within a 10-day window and a reference climatology (based on optimized fluxes) plus/minus the NEE budget anomaly of the model.\nIn the long term, these factors will be adjusted by the data assimilation system using flux and/or atmospheric CO2 observations.","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228080,"shortname":"aco2nee","longname":"Accumulated Carbon Dioxide Net Ecosystem Exchange","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228081,"shortname":"aco2gpp","longname":"Accumulated Carbon Dioxide Gross Primary Production","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228082,"shortname":"aco2rec","longname":"Accumulated Carbon Dioxide Ecosystem Respiration","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228083,"shortname":"fco2nee","longname":"Carbon dioxide net ecosystem exchange flux","units":"kg m**-2 s**-1","description":"","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228084,"shortname":"fco2gpp","longname":"Carbon dioxide gross primary production flux","units":"kg m**-2 s**-1","description":"","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228085,"shortname":"fco2rec","longname":"Carbon dioxide ecosystem respiration flux","units":"kg m**-2 s**-1","description":"","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228086,"shortname":"sm20","longname":"Soil moisture top 20 cm","units":"kg m**-3","description":"

The volumetric soil moisture on the top 20cm of the soil layer

Please note that the encodings listed here for s2s are for Time-mean soil moisture top 20 cm. The specific encoding for Time-mean soil moisture top 20 cm can be found in 235113.

","access_ids":[],"origin_ids":[-40,0],"table":228,"mars_request_context":[]},{"id":228087,"shortname":"sm100","longname":"Soil moisture top 100 cm","units":"kg m**-3","description":"

The volumetric soil moisture on the top 100cm of the soil layer.

Please note that the encodings listed here for s2s are for Time-mean soil moisture top 100 cm. The specific encoding for Time-mean soil moisture top 100 cm can be found in 235114.

","access_ids":[],"origin_ids":[-40,0],"table":228,"mars_request_context":[]},{"id":228088,"shortname":"tcslw","longname":"Total column supercooled liquid water","units":"kg m**-2","description":"This parameter is the total amount of supercooled water in a column extending from the surface of the Earth to the top of the atmosphere. Supercooled water is water that exists in liquid form below 0oC. It is common in cold clouds and is important in the formation of precipitation. Also, supercooled water in clouds extending to the surface (i.e., fog) can cause icing/riming of various structures.

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228089,"shortname":"tcrw","longname":"Total column rain water","units":"kg m**-2","description":"This parameter is the total amount of water in droplets of raindrop size (which can fall to the surface as precipitation) in a column extending from the surface of the Earth to the top of the atmosphere.

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228090,"shortname":"tcsw","longname":"Total column snow water","units":"kg m**-2","description":"This parameter is the total amount of water in the form of snow (aggregated ice crystals which can fall to the surface as precipitation) in a column extending from the surface of the Earth to the top of the atmosphere.

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"an","levtype":"sfc"},{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228091,"shortname":"ccf","longname":"Canopy cover fraction","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228092,"shortname":"stf","longname":"Soil texture fraction","units":"(0 - 1)","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228093,"shortname":"swv","longname":"Volumetric soil moisture","units":"m**3 m**-3","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228094,"shortname":"ist","longname":"Ice temperature","units":"K","description":"","access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228095,"shortname":"st20","longname":"Soil temperature top 20 cm","units":"K","description":"

The average soil temperature on the top 20cm of the soil layer.

Please note that the encodings listed here for S2S are for Time-mean soil temperature top 20 cm. The specific encoding for Time-mean soil temperature top 20 cm can be found in 235115.

","access_ids":[],"origin_ids":[-40,0],"table":228,"mars_request_context":[]},{"id":228096,"shortname":"st100","longname":"Soil temperature top 100 cm","units":"K","description":"

The average soil temperature on the top 100cm of the soil layer

Please note that the encodings listed here for S2S are for Time-mean soil temperature top 100 cm. The specific encoding for Time-mean soil temperature top 100 cm can be found in 235116.

","access_ids":[],"origin_ids":[-40,0],"table":228,"mars_request_context":[]},{"id":228100,"shortname":"evatc","longname":"Evaporation from the top of canopy","units":"m of water equivalent","description":"The amount of evaporation from the canopy interception reservoir","access_ids":[],"origin_ids":[-80,98],"table":228,"mars_request_context":[]},{"id":228101,"shortname":"evabs","longname":"Evaporation from bare soil","units":"m of water equivalent","description":"The amount of evaporation from bare soil","access_ids":[],"origin_ids":[-80,98],"table":228,"mars_request_context":[]},{"id":228102,"shortname":"evaow","longname":"Evaporation from open water surfaces excluding oceans","units":"m of water equivalent","description":"Amount of evaporation from surface water storage like lakes and inundated areas but excluding oceans","access_ids":[],"origin_ids":[-80,98],"table":228,"mars_request_context":[]},{"id":228103,"shortname":"evavt","longname":"Evaporation from vegetation transpiration","units":"m of water equivalent","description":"Amount of evaporation from vegetation transpiration. This has the same meaning as root extraction i.e. the amount of water extracted from the different soil layers","access_ids":[],"origin_ids":[-80,98],"table":228,"mars_request_context":[]},{"id":228104,"shortname":"e_WLCH4","longname":"Atmosphere emission mass flux of Methane from Wetlands","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[]},{"id":228105,"shortname":"sif740","longname":"Solar induced Chlorophyll fluorescence at 740nm","units":"10**-6 W m**-2 sr**-1 m**-1","description":null,"access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228106,"shortname":"sif755","longname":"Solar induced Chlorophyll fluorescence at 755nm","units":"10**-6 W m**-2 sr**-1 m**-1","description":null,"access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228107,"shortname":"sif771","longname":"Solar induced Chlorophyll fluorescence at 771nm","units":"10**-6 W m**-2 sr**-1 m**-1","description":null,"access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228108,"shortname":"sif757","longname":"Solar induced Chlorophyll fluorescence at 757nm","units":"10**-6 W m**-2 sr**-1 m**-1","description":null,"access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228109,"shortname":"acc_e_WLCH4","longname":"Accumulated mass emission of methane from Wetlands","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[]},{"id":228129,"shortname":"ssrdc","longname":"Surface short-wave (solar) radiation downward clear-sky","units":"J m**-2","description":"clear-sky downward shortwave radiation flux at surface computed from the model radiation scheme ","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228130,"shortname":"strdc","longname":"Surface long-wave (thermal) radiation downward clear-sky","units":"J m**-2","description":"clear-sky downward longwave radiation flux at surface computed from the model radiation scheme ","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228131,"shortname":"u10n","longname":"10 metre u-component of neutral wind","units":"m s**-1","description":"This parameter is the eastward component of the 'neutral wind', at a height of 10 metres above the surface of the Earth.

The neutral wind is calculated from the surface stress and the corresponding roughness length by assuming that the air is neutrally stratified. The neutral wind is slower than the actual wind in stable conditions, and faster in unstable conditions. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on land surface properties or the sea state. ","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228132,"shortname":"v10n","longname":"10 metre v-component of neutral wind","units":"m s**-1","description":"This parameter is the northward component of the 'neutral wind', at a height of 10 metres above the surface of the Earth.

The neutral wind is calculated from the surface stress and the corresponding roughness length by assuming that the air is neutrally stratified. The neutral wind is slower than the actual wind in stable conditions, and faster in unstable conditions. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on land surface properties or the sea state. ","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228134,"shortname":"vtnowd","longname":"V-tendency from non-orographic wave drag","units":"m s**-2","description":null,"access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228136,"shortname":"utnowd","longname":"U-tendency from non-orographic wave drag","units":"m s**-2","description":null,"access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228139,"shortname":"st","longname":"Soil temperature","units":"K","description":"

This GRIB2 encoding is only to be used in TIGGE as it is WMO deprecated. Please use paramId 260360 otherwise.

","access_ids":[],"origin_ids":[-30,0,34,98],"table":228,"mars_request_context":[]},{"id":228141,"shortname":"sd","longname":"Snow depth water equivalent","units":"kg m**-2","description":"

Snow depth water equivalent in kg m**-2 (mm) water equivalent.

Please note that the encodings listed here for s2s & uerra (which includes carra/cerra) include entries for Time-mean snow depth water equivalent. The specific encoding for Time-mean snow depth water equivalent can be found in 235078.

[NOTE: See 141 for the equivalent parameter in \"m of water equivalent\"]

","access_ids":["dissemination"],"origin_ids":[-40,-20,0,34,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sol"},{"class":"od","stream":"eefh","type":"pf","levtype":"sol"},{"class":"od","stream":"eefo","type":"cf","levtype":"sol"},{"class":"od","stream":"eefo","type":"pf","levtype":"sol"},{"class":"od","stream":"elda","type":"an","levtype":"sol"},{"class":"od","stream":"elda","type":"fc","levtype":"sol"},{"class":"od","stream":"enfh","type":"cf","levtype":"sol"},{"class":"od","stream":"enfh","type":"pf","levtype":"sol"},{"class":"od","stream":"enfo","type":"pf","levtype":"sol"},{"class":"od","stream":"lwda","type":"an","levtype":"sol"},{"class":"od","stream":"lwda","type":"fc","levtype":"sol"},{"class":"od","stream":"oper","type":"an","levtype":"sol"},{"class":"od","stream":"oper","type":"fc","levtype":"sol"}]},{"id":228143,"shortname":"cp","longname":"Convective precipitation","units":"kg m**-2","description":"Precipitation produced by the convection scheme. Accumulated from the beginning of the forecast.\n
[NOTE: See 143 for the equivalent parameter in \"m\"]","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228144,"shortname":"sf","longname":"Snowfall water equivalent","units":"kg m**-2","description":"[NOTE: See 144 for the equivalent parameter in \"m of water equivalent\"]","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228164,"shortname":"tcc","longname":"Total Cloud Cover","units":"%","description":"[NOTE: See 164 for the equivalent parameter in \"(0-1)\"]","access_ids":["dissemination"],"origin_ids":[-40,-20,0,7,34,98],"table":228,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228170,"shortname":"cap","longname":"Field capacity","units":"kg m**-3","description":null,"access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228171,"shortname":"wilt","longname":"Wilting point","units":"kg m**-3","description":null,"access_ids":[],"origin_ids":[0,98],"table":228,"mars_request_context":[]},{"id":228205,"shortname":"ro","longname":"Water runoff and drainage","units":"kg m**-2","description":"Soil total column lateral water flow and bottom soil drainage","access_ids":[],"origin_ids":[0],"table":228,"mars_request_context":[]},{"id":228216,"shortname":"fzra","longname":"Accumulated freezing rain","units":"m","description":"This parameter is the total amount of precipitation falling as freezing rain, accumulated over a particular time period which depends on the data extracted.

Freezing rain occurs when supercooled water droplets (below 0°C but still in liquid form) immediately freeze as they hit the ground (and other surfaces) to form a coating or glaze of clear ice. Freezing rain creates hazardous, extremely slippery surface conditions and can cause disruption to road, rail and air transport. If prolonged, it can damage vegetation and crops and can accumulate on power lines, causing them to collapse.

The units are depth in metres of liquid water equivalent. It is the depth the liquid water would have if it were spread evenly over the grid box. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step
\n[NOTE: See 231001 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-80,-50,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228217,"shortname":"ilspf","longname":"Instantaneous large-scale precipitation fraction","units":"Proportion","description":"

This parameter is the fraction of the grid box (0-1) covered by large-scale precipitation at the specified time .

Large-scale precipitation is rain and snow that falls to the Earth's surface, and is generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Precipitation can also be due to convection generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228218,"shortname":"crr","longname":"Convective rain rate","units":"kg m**-2 s**-1","description":"This parameter is the rate of rainfall (rainfall intensity), at the specified time , generated by the convection scheme in the ECMWF Integrated Forecasting System (IFS). The convection scheme represents convection at spatial scales smaller than the grid box.

Total rainfall is made up of convective and large-scale rainfall. Large-scale rainfall is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale rainfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid boxor larger. See further information. Rainfall is one component of precipitation. In the IFS, precipitation is rain and snow that falls to the Earth's surface.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228219,"shortname":"lsrr","longname":"Large scale rain rate","units":"kg m**-2 s**-1","description":"This parameter is the rate of rainfall (rainfall intensity), at the specified time, generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger.

Rainfall can also be due to convection generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Rainfall is one component of precipitation. In the IFS, precipitation is rain and snow that falls to the Earth's surface.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228220,"shortname":"csfr","longname":"Convective snowfall rate water equivalent","units":"kg m**-2 s**-1","description":"This parameter is the rate of snowfall (snowfall intensity), at the specified time, generated by the convection scheme in the ECMWF Integrated Forecasting System (IFS). The convection scheme represents convection at spatial scales smaller than the grid box.

Total snowfall is made up of convective and large-scale snowfall. Large-scale snowfall is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. See further information. Snowfall is one component of precipitation. In the IFS, precipitation is rain and snow that falls to the Earth's surface

Snowfall rate is considered here in terms of its water equivalent. Since 1 kg of water spread over 1 square metre of surface is 1 mm thick (neglecting the effects of temperature on the density of water), the units are equivalent to mm (of liquid water) per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228221,"shortname":"lssfr","longname":"Large scale snowfall rate water equivalent","units":"kg m**-2 s**-1","description":"This parameter is the rate of snowfall (snowfall intensity), at the specified time, generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger.

Snowfall can also be due to convection generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Snowfall is one component of precipitation. In the IFS, precipitation is rain and snow that falls to the Earth's surface

Snowfall rate is considered here in terms of its water equivalent. Since 1 kg of water spread over 1 square metre of surface is 1 mm thick (neglecting the effects of temperature on the density of water), the units are equivalent to mm (of liquid water) per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228222,"shortname":"mxtpr3","longname":"Maximum total precipitation rate in the last 3 hours","units":"kg m**-2 s**-1","description":"The maximum total precipitation rate in the previous 3 hour period. The maximum is calculated from the precipitation rate at each model time step.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information .

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228223,"shortname":"mntpr3","longname":"Minimum total precipitation rate in the last 3 hours","units":"kg m**-2 s**-1","description":"The minimum total precipitation rate in the previous 3 hour period. The minimum is calculated from the precipitation rate at each model time step.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information .

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228224,"shortname":"mxtpr6","longname":"Maximum total precipitation rate in the last 6 hours","units":"kg m**-2 s**-1","description":"The maximum total precipitation rate in the previous 6 hour period. The maximum is calculated from the precipitation rate at each model time step.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228225,"shortname":"mntpr6","longname":"Minimum total precipitation rate in the last 6 hours","units":"kg m**-2 s**-1","description":"The minimum total precipitation rate in the previous 6 hour period. The minimum is calculated from the precipitation rate at each model time step.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":["dissemination"],"origin_ids":[98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228226,"shortname":"mxtpr","longname":"Maximum total precipitation rate since previous post-processing","units":"kg m**-2 s**-1","description":"The total precipitation is calculated from the combined large-scale and convective rainfall and snowfall rates every time step and the maximum is kept since the last postprocessing","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228227,"shortname":"mntpr","longname":"Minimum total precipitation rate since previous post-processing","units":"kg m**-2 s**-1","description":"The total precipitation is calculated from the combined large-scale and convective rainfall and snowfall rates every time step and the minimum is kept since the last postprocessing","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228228,"shortname":"tp","longname":"Total Precipitation","units":"kg m**-2","description":"[NOTE: See 228 for the equivalent parameter in \"m\"]","access_ids":["dissemination"],"origin_ids":[0,7,98],"table":228,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228229,"shortname":"smos_tb_cdfa","longname":"SMOS first Brightness Temperature Bias Correction parameter","units":"K","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228230,"shortname":"smos_tb_cdfb","longname":"SMOS second Brightness Temperature Bias Correction parameter","units":"dimensionless","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228231,"shortname":"mlcape50","longname":"Mixed-layer CAPE in the lowest 50 hPa","units":"J kg**-1","description":"Convective Available Potential Energy (CAPE) is a measure of the amount of energy available for convection. It is related to the maximum potential vertical velocity in the updraught. MLCAPE50 refers to CAPE of a pseudoadiabatically ascending air parcel representing the mean conditions in the lowest 50 hPa of the atmosphere.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228232,"shortname":"mlcin50","longname":"Mixed-layer CIN in the lowest 50 hPa","units":"J kg**-1","description":"Convective Inhibition (CIN) is a measure of the amount of energy needed to be overcome for storm initiation. CIN reflects the strength of the capping inversion. MLCIN50 refers to CIN of a pseudoadiabatically ascending air parcel representing the mean conditions in the lowest 50 hPa of the atmosphere.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228233,"shortname":"mlcape100","longname":"Mixed-layer CAPE in the lowest 100 hPa","units":"J kg**-1","description":"Convective Available Potential Energy (CAPE) is a measure of the amount of energy available for convection. It is related to the maximum potential vertical velocity in the updraught. MLCAPE100 refers to CAPE of a pseudoadiabatically ascending air parcel representing the mean conditions in the lowest 100 hPa of the atmosphere.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228234,"shortname":"mlcin100","longname":"Mixed-layer CIN in the lowest 100 hPa","units":"J kg**-1","description":"Convective Inhibition (CIN) is a measure of the amount of energy needed to be overcome for storm initiation. CIN reflects the strength of the capping inversion. MLCIN100 refers to CIN of a pseudoadiabatically ascending air parcel representing the mean conditions in the lowest 100 hPa of the atmosphere.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228235,"shortname":"mucape","longname":"Most-unstable CAPE","units":"J kg**-1","description":"Convective Available Potential Energy (CAPE) is a measure of the amount of energy available for convection. It is related to the maximum potential vertical velocity in the updraught. In the IFS MUCAPE refers to the most unstable parcel (the parcel with the largest CAPE) found in the atmosphere from the surface up to 350 hPa. For all the model levels in the lowest 60 hPa, 30-hPa mixed-layer parameters are used.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"wp","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"wp","levtype":"sfc"}]},{"id":228236,"shortname":"mucin","longname":"Most-unstable CIN","units":"J kg**-1","description":"Convective Inhibition (CIN) is a measure of the amount of energy needed to be overcome for storm initiation. CIN reflects the strength of the capping inversion. In the IFS MUCIN refers to the most unstable parcel (the parcel with the largest CAPE) found in the atmosphere from the surface up to 350 hPa. For all the model levels in the lowest 60 hPa, 30-hPa mixed-layer parameters are used.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228237,"shortname":"mudlp","longname":"Departure level of the most unstable parcel expressed as Pressure","units":"Pa","description":"This represents the vertical level expressed as pressure from which the most unstable parcel (the parcel with the largest CAPE) starts rising.","access_ids":["dissemination"],"origin_ids":[0],"table":228,"mars_request_context":[{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228239,"shortname":"200u","longname":"200 metre U wind component","units":"m s**-1","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228240,"shortname":"200v","longname":"200 metre V wind component","units":"m s**-1","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228241,"shortname":"200si","longname":"200 metre wind speed","units":"m s**-1","description":"","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228242,"shortname":"fdif","longname":"Surface solar radiation diffuse total sky","units":"J m**-2","description":"Total sky surface flux of diffuse shortwave radiation flux computed from the model radiation scheme","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228243,"shortname":"cdif","longname":"Surface solar radiation diffuse clear-sky","units":"J m**-2","description":"Clear-sky surface flux of diffuse shortwave radiation flux computed from the model radiation scheme","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228244,"shortname":"aldr","longname":"Surface albedo of direct radiation","units":"(0 - 1)","description":"Surface albedo for direct radiation integrated by the radiation scheme computed from the model radiation scheme","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228245,"shortname":"aldf","longname":"Surface albedo of diffuse radiation","units":"(0 - 1)","description":"Surface albedo for diffuse radiation integrated by the radiation scheme computed from the model radiation scheme","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228246,"shortname":"100u","longname":"100 metre U wind component","units":"m s**-1","description":"This parameter is the eastward component of the 100 m wind. It is the horizontal speed of air moving towards the east, at a height of 100 metres above the surface of the Earth, in metres per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

This parameter can be combined with the northward component to give the speed and direction of the horizontal 100 m wind.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228247,"shortname":"100v","longname":"100 metre V wind component","units":"m s**-1","description":"This parameter is the northward component of the 100 m wind. It is the horizontal speed of air moving towards the north, at a height of 100 metres above the surface of the Earth, in metres per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

This parameter can be combined with the eastward component to give the speed and direction of the horizontal 100 m wind.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"ai","stream":"enfo","type":"cf","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"ai","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"eefo","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"},{"class":"od","stream":"eefo","type":"taes","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taem","levtype":"sfc"},{"class":"od","stream":"eehs","type":"taes","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taem","levtype":"sfc"},{"class":"od","stream":"efhs","type":"taes","levtype":"sfc"},{"class":"od","stream":"elda","type":"4v","levtype":"sfc"},{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmax","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmean","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcmin","levtype":"sfc"},{"class":"od","stream":"enfh","type":"fcstdev","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"4v","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"4v","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228248,"shortname":"tccsw","longname":"Surface short wave-effective total cloudiness","units":"dimensionless","description":"Let SSRD and STRD be the surface downward short-wave and long-wave radiation at the surface, and SSRDC and STRDC the surface clear-sky downward short-wave and long-wave radiation at the surface.\r\n\r\nThe short-wave and long-wave radiation-effective total cloudiness are\r\nthe equivalent cloud fractions of the sky that would give the surface\r\ndownward radiation, without reference to any cloud overlap assumption,\r\nany specification (liquid droplets or ice particles) of cloud particles,\r\nand related cloud optical properties.\r\nIn particular, TCCSW, the surface short-wave-effective total cloudiness\r\nis what might be the closest to what the \"person in the street\" could\r\nthink of as total cloudiness.\r\n\r\nComputationally speaking, TCCSW = 1 - SSRD / SSRDC\r\nand TCCLW = 1 - STRDC / STRD\r\n\r\n(the difference in the ratios is due to the fact that, w.r.t. to clear\r\nsky conditions, clouds decrease the amount of short-wave radiation\r\nusually available at the surface, whereas clouds actually increase the\r\namount of long-wave radiation available at the surface).","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228249,"shortname":"100si","longname":"100 metre wind speed","units":"m s**-1","description":"This parameter is the horizontal speed of the wind, or movement of air, at a height of 100 m above the surface of the Earth.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

Two other parameters, the eastward and northward components, can be used to give the direction of the horizontal 100 m wind.","access_ids":["dissemination"],"origin_ids":[0,98],"table":228,"mars_request_context":[{"class":"ai","stream":"enfo","type":"em","levtype":"sfc"},{"class":"ai","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"em","levtype":"sfc"},{"class":"od","stream":"enfo","type":"es","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228250,"shortname":"irrfr","longname":"Irrigation fraction","units":"Proportion","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228251,"shortname":"pev","longname":"Potential evaporation","units":"m","description":"This parameter is a measure of the extent to which near-surface atmospheric conditions are conducive to the process of evaporation. It is usually considered to be the amount of evaporation, under existing atmospheric conditions, from a surface of pure water which has the temperature of the lowest layer of the atmosphere and gives an indication of the maximum possible evaporation.

Potential evaporation in the current ECMWF Integrated Forecasting System is based on surface energy balance calculations with the vegetation parameters set to 'crops/mixed farming' and assuming 'no stress from soil moisture'. In other words, evaporation is computed for agricultural land as if it is well watered and assuming that the atmosphere is not affected by this artificial surface condition. The latter may not always be realistic. Although potential evaporation is meant to provide an estimate of irrigation requirements, the method can give unrealistic results in arid conditions due to too strong evaporation forced by dry air.

This parameter is accumulated over a particular time period which depends on the data extracted.\n
[NOTE: See 231005 for the equivalent parameter in \"kg m-2\"]","access_ids":["dissemination"],"origin_ids":[-80,-70,-50,98],"table":228,"mars_request_context":[{"class":"mc","stream":"oper","type":"fc","levtype":"sfc"},{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":228252,"shortname":"irr","longname":"Irrigation","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228253,"shortname":"ascat_sm_cdfa","longname":"ASCAT first soil moisture CDF matching parameter","units":"m**3 m**-3","description":null,"access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228254,"shortname":"ascat_sm_cdfb","longname":"ASCAT second soil moisture CDF matching parameter","units":"dimensionless","description":null,"access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":228255,"shortname":"tcclw","longname":"Surface long wave-effective total cloudiness","units":"dimensionless","description":"Let SSRD and STRD be the surface downward short-wave and long-wave radiation at the surface, and SSRDC and STRDC the surface clear-sky downward short-wave and long-wave radiation at the surface.\r\n\r\nThe short-wave and long-wave radiation-effective total cloudiness are\r\nthe equivalent cloud fractions of the sky that would give the surface\r\ndownward radiation, without reference to any cloud overlap assumption,\r\nany specification (liquid droplets or ice particles) of cloud particles,\r\nand related cloud optical properties.\r\nIn particular, TCCSW, the surface short-wave-effective total cloudiness\r\nis what might be the closest to what the \"person in the street\" could\r\nthink of as total cloudiness.\r\n\r\nComputationally speaking, TCCSW = 1 - SSRD / SSRDC\r\nand TCCLW = 1 - STRDC / STRD\r\n\r\n(the difference in the ratios is due to the fact that, w.r.t. to clear\r\nsky conditions, clouds decrease the amount of short-wave radiation\r\nusually available at the surface, whereas clouds actually increase the\r\namount of long-wave radiation available at the surface).","access_ids":[],"origin_ids":[98],"table":228,"mars_request_context":[]},{"id":229001,"shortname":"cur","longname":"Urban cover","units":"(0 - 1)","description":"This parameter is the fraction of the grid box (0-1) that is covered with an urban surface.\r\nThis parameter includes all impervious and\r\nartificial surfaces (e.g. roads, buildings, parking lots, etc.).","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[{"class":"od","stream":"elda","type":"an","levtype":"sfc"},{"class":"od","stream":"lwda","type":"an","levtype":"sfc"},{"class":"od","stream":"oper","type":"an","levtype":"sfc"}]},{"id":229002,"shortname":"cro","longname":"Road Cover","units":"(0 - 1)","description":"This parameter is the fraction of the grid box (0-1) that is covered with a flat impervious surface (including paved areas and bridges).\r\n","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":229003,"shortname":"cbu","longname":"Building cover","units":"(0 - 1)","description":"This parameter is the fraction of the grid box (0-1) that is covered with an elevated impervious surface (e.g. buildings).\r\n","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":229004,"shortname":"bldh","longname":"Building height","units":"m","description":"This parameter contains the mean building height.","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":229005,"shortname":"hwr","longname":"Vertical-to-horizontal area ratio","units":"m**2 m**-2","description":"This parameter is the ratio of total building wall area to the plan area of urban cover.","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":229006,"shortname":"bhstd","longname":"Standard deviation of building height","units":"m","description":"This parameter is the standard deviation of building heights of the grid box","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":229007,"shortname":"cwe","longname":"Wetland cover","units":"(0 - 1)","description":"This parameter is the fraction of the grid box (0-1) which is inundated. This includes marshes, fens, bogs and swamps but excludes lakes, reservoirs, rivers and coral reefs.","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":229008,"shortname":"twe","longname":"Wetland type","units":"(Code table 4.239)","description":"This parameter indicates the 12 types of wetlands recognised by the ECMWF IFS wetland emissions model. They are used to calculate the wetland methane fluxes:\r\n1 - Bog\r\n2 - Drained\r\n3 - Fen\r\n4 - Floodplain\r\n5 - Mangrove\r\n6 - Marsh\r\n7 - Rice\r\n8 - Riverine\r\n9 - Salt Marsh\r\n10 - Swamp\r\n11 - Upland\r\n12 - Wet Tundra","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":229009,"shortname":"cirr","longname":"Irrigation cover","units":"(0 - 1)","description":"This parameter is the fraction of the grid box (0-1) that is subject to irrigation","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":229010,"shortname":"c4cr","longname":"C4 crop cover","units":"(0 - 1)","description":"This parameter is the fraction of the grid box (0-1) with C4 crops.","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":229011,"shortname":"c4gr","longname":"C4 grass cover","units":"(0 - 1)","description":"This parameter is the fraction of the grid box (0-1) with C4 grass.","access_ids":[],"origin_ids":[0],"table":229,"mars_request_context":[]},{"id":230008,"shortname":"srovar","longname":"Surface runoff (variable resolution)","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230009,"shortname":"ssrovar","longname":"Sub-surface runoff (variable resolution)","units":"m","description":"","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230020,"shortname":"parcsvar","longname":"Clear sky surface photosynthetically active radiation (variable resolution)","units":"J m**-2","description":"0.44-0.70 um accumulated field","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230021,"shortname":"fdirvar","longname":"Total sky direct solar radiation at surface (variable resolution)","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230022,"shortname":"cdirvar","longname":"Clear-sky direct solar radiation at surface (variable resolution)","units":"J m**-2","description":"","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230044,"shortname":"esvar","longname":"Snow evaporation (variable resolution)","units":"kg m**-2","description":"Evaporation from snow averaged over the grid box (to find flux over snow, divide by snow fraction) ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230045,"shortname":"smltvar","longname":"Snowmelt (variable resolution)","units":"kg m**-2","description":"Melting of snow averaged over the grid box (to find melt over snow, divide by snow fraction) ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230046,"shortname":"sdurvar","longname":"Solar duration (variable resolution)","units":"s","description":null,"access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230047,"shortname":"dsrpvar","longname":"Direct solar radiation (variable resolution)","units":"J m**-2","description":"Incident on a plane perpendicular to the Sun's direction. Accumulated field","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230050,"shortname":"lspfvar","longname":"Large-scale precipitation fraction (variable resolution)","units":"s","description":"Fraction of the grid box that is covered by large-scale precipitation. Accumulated field.","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230057,"shortname":"uvbvar","longname":"Downward UV radiation at the surface (variable resolution)","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230058,"shortname":"parvar","longname":"Photosynthetically active radiation at the surface (variable resolution)","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230080,"shortname":"aco2neevar","longname":"Accumulated Carbon Dioxide Net Ecosystem Exchange (variable resolution)","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230081,"shortname":"aco2gppvar","longname":"Accumulated Carbon Dioxide Gross Primary Production (variable resolution)","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230082,"shortname":"aco2recvar","longname":"Accumulated Carbon Dioxide Ecosystem Respiration (variable resolution)","units":"kg m**-2","description":"","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230129,"shortname":"ssrdcvar","longname":"Surface solar radiation downward clear-sky (variable resolution)","units":"J m**-2","description":"clear-sky downward shortwave radiation flux at surface computed from the model radiation scheme","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230130,"shortname":"strdcvar","longname":"Surface thermal radiation downward clear-sky (variable resolution)","units":"J m**-2","description":"clear-sky downward longwave radiation flux at surface computed from the model radiation scheme","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230142,"shortname":"lspvar","longname":"Stratiform precipitation (Large-scale precipitation) (variable resolution)","units":"m","description":"Precipitation from the prognostic cloud scheme (which is also fed by detrained water/ice from convection) ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230143,"shortname":"cpvar","longname":"Convective precipitation (variable resolution)","units":"m","description":"Precipitation from updrafts in convection scheme ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230144,"shortname":"sfvar","longname":"Snowfall (convective + stratiform) (variable resolution)","units":"m of water equivalent","description":null,"access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230145,"shortname":"bldvar","longname":"Boundary layer dissipation (variable resolution)","units":"J 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","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230179,"shortname":"ttrvar","longname":"Top net thermal radiation (variable resolution)","units":"J m**-2","description":"Net thermal radiation at the top of the atmosphere ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230180,"shortname":"ewssvar","longname":"East-West surface stress (variable resolution)","units":"N m**-2 s","description":"East-West surface stress due to to turbulent processes ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230181,"shortname":"nsssvar","longname":"North-South surface stress (variable resolution)","units":"N m**-2 s","description":"North-South surface stress due to to turbulent processes ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230182,"shortname":"evar","longname":"Evaporation (variable resolution)","units":"kg m**-2","description":"Moisture flux from the surface into the atmosphere ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230189,"shortname":"sundvar","longname":"Sunshine duration (variable resolution)","units":"s","description":"Time that radiation in the direction of the sun is above 120 W/m2 ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230195,"shortname":"lgwsvar","longname":"Longitudinal component of gravity wave stress (variable resolution)","units":"N m**-2 s","description":"East-West component of surface stress due to gravity waves and orographic blocking ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230196,"shortname":"mgwsvar","longname":"Meridional component of gravity wave stress (variable resolution)","units":"N m**-2 s","description":"North-South component of surface stress due to gravity waves and orographic blocking ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230197,"shortname":"gwdvar","longname":"Gravity wave dissipation (variable resolution)","units":"J m**-2","description":"Conversion of kinetic energy of the mean flow into heat due gravity waves and orographic blocking ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230198,"shortname":"srcvar","longname":"Skin reservoir content (variable resolution)","units":"kg m**-2","description":"Amount of water in interception reservoir ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230205,"shortname":"rovar","longname":"Runoff (variable resolution)","units":"m","description":"Amount of water that is lost from the soil through surface runoff and deep soil drainage ","access_ids":[],"origin_ids":[98],"table":230,"mars_request_context":[]},{"id":230208,"shortname":"tsrcvar","longname":"Top net solar radiation, clear sky (variable resolution)","units":"J 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Some water from rainfall, melting snow, or deep in the soil, stays stored in the soil. Otherwise, the water drains away, either over the surface (surface runoff), or under the ground (sub-surface runoff) and the sum of these two is simply called 'runoff'. This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point rather than averaged over a grid square area. Observations are also often taken in different units, such as mm/day, rather than the accumulated quantity produced here.

Runoff is a measure of the availability of water in the soil, and can, for example, be used as an indicator of drought or flood. More information about how runoff is calculated is given in the IFS Physical Processes documentation.

[NOTE: See 205 for the equivalent parameter in \"m\"]

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This parameter is calculated by searching from the second lowest model level upwards, to the height of the level where cloud fraction becomes greater than 50% and condensate content greater than 1.E-6 kg kg-1.

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m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233010,"shortname":"tvied","longname":"Time-integrated total column vertically-integrated divergence of enthalpy flux","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233011,"shortname":"tviked","longname":"Time-integrated total column vertically-integrated divergence of kinetic energy flux","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233012,"shortname":"tvited","longname":"Time-integrated total column vertically-integrated divergence of total energy flux","units":"J m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233013,"shortname":"tviwed","longname":"Time-integrated total column vertically-integrated divergence of water enthalpy flux","units":"J 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m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233018,"shortname":"tviclwd","longname":"Time-integrated total column vertically-integrated divergence of cloud liquid water flux","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233019,"shortname":"tviciwd","longname":"Time-integrated total column vertically-integrated divergence of cloud ice water flux","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233020,"shortname":"tvird","longname":"Time-integrated total column vertically-integrated divergence of rain flux","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233021,"shortname":"tvisd","longname":"Time-integrated total column vertically-integrated divergence of snow flux","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233022,"shortname":"tviwve","longname":"Time-integrated total column vertically-integrated eastward water vapour flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233023,"shortname":"tviwvn","longname":"Time-integrated total column vertically-integrated northward water vapour flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233024,"shortname":"tviclwe","longname":"Time-integrated total column vertically-integrated eastward cloud liquid water flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233025,"shortname":"tviclwn","longname":"Time-integrated total column vertically-integrated northward cloud liquid water flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233026,"shortname":"tviciwe","longname":"Time-integrated total column vertically-integrated eastward cloud ice water flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233027,"shortname":"tviciwn","longname":"Time-integrated total column vertically-integrated northward cloud ice water flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233028,"shortname":"tvire","longname":"Time-integrated total column vertically-integrated eastward rain flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233029,"shortname":"tvirn","longname":"Time-integrated total column vertically-integrated northward rain flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233030,"shortname":"tvise","longname":"Time-integrated total column vertically-integrated eastward snow flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233031,"shortname":"tvisn","longname":"Time-integrated total column vertically-integrated northward snow flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[0],"table":233,"mars_request_context":[]},{"id":233032,"shortname":"tvioze","longname":"Time-integrated total column vertically-integrated eastward ozone flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[-80,-50],"table":233,"mars_request_context":[]},{"id":233033,"shortname":"tviozn","longname":"Time-integrated total column vertically-integrated northward ozone flux","units":"kg m**-1","description":null,"access_ids":[],"origin_ids":[-80,-50],"table":233,"mars_request_context":[]},{"id":233034,"shortname":"tviozd","longname":"Time-integrated total column vertically-integrated divergence of ozone flux","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[-80,-50],"table":233,"mars_request_context":[]},{"id":233035,"shortname":"tvions","longname":"Time-integrated total column vertically-integrated net source of ozone","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[-80,-50],"table":233,"mars_request_context":[]},{"id":234139,"shortname":"sts","longname":"Surface temperature significance","units":"%","description":null,"access_ids":[],"origin_ids":[98],"table":234,"mars_request_context":[{"class":"od","stream":"eefo","type":"taem","levtype":"sfc"}]},{"id":234151,"shortname":"msls","longname":"Mean sea level pressure 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sky.","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235002,"shortname":"avg_ttlwr","longname":"Time-mean temperature tendency due to long-wave radiation","units":"K s**-1","description":"Temperature tendency due to parameterised long-wave radiation, all sky","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235003,"shortname":"avg_ttswrcs","longname":"Time-mean temperature tendency due to short wave radiation, clear sky","units":"K s**-1","description":"Temperature tendency due to parameterised short-wave radiation, clear sky","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235004,"shortname":"avg_ttlwrcs","longname":"Time-mean temperature tendency due to long-wave radiation, clear sky","units":"K s**-1","description":"Temperature tendency due to parameterised long-wave radiation, clear sky","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235005,"shortname":"avg_ttpm","longname":"Time-mean temperature tendency due to parametrisations","units":"K s**-1","description":"Temperature tendency due to parameterisations","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235006,"shortname":"avg_qtpm","longname":"Time-mean specific humidity tendency due to parametrisations","units":"kg kg**-1 s**-1","description":"Specific humidity tendency due to parameterisations","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235007,"shortname":"avg_utpm","longname":"Time-mean eastward wind tendency due to parametrisations","units":"m s**-2","description":"Eastward wind tendency due to parameterisations","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235008,"shortname":"avg_vtpm","longname":"Time-mean northward wind tendency due to parametrisations","units":"m 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This parameter should not be used on level \"Ground or water surface\" (typeOfFirstFixedSurface=1). Please use 235055 for this purpose.","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235014,"shortname":"avg_tdch","longname":"Time-mean turbulent diffusion coefficient for heat","units":"m**2 s**-1","description":"Turbulent diffusion coefficient for heat","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235015,"shortname":"tirf","longname":"Time integral of rain flux","units":"kg m**-2","description":"Accumulated (from the beginning of the forecast)","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235017,"shortname":"tisemf","longname":"Time integral of surface eastward momentum flux","units":"N m**-2 s","description":"Accumulated surface momentum flux in eastward direction","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235018,"shortname":"tisnmf","longname":"Time integral of surface northward momentum flux","units":"N m**-2 s","description":"Accumulated surface momentum flux in northward direction","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235019,"shortname":"tislhef","longname":"Time integral of surface latent heat evaporation flux","units":"J m**-2","description":"This parameter is the transfer of latent heat resulting from evaporation between the Earth's surface and the atmosphere through the effects of turbulent air motion. Evaporation from the Earth's surface represents a transfer of energy from the surface to the atmosphere. See further documentation\r\n\r\nThis parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.\r\n\r\nThe ECMWF convention for vertical fluxes is positive downwards.","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235020,"shortname":"avg_surfror","longname":"Time-mean surface runoff rate","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235021,"shortname":"avg_ssurfror","longname":"Time-mean sub-surface runoff rate","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235022,"shortname":"avg_parcsf","longname":"Time-mean surface photosynthetically active radiation flux, clear sky","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235023,"shortname":"avg_esrwe","longname":"Time-mean snow evaporation rate 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s**-1","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235032,"shortname":"avg_ibld","longname":"Time-mean boundary layer dissipation","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235033,"shortname":"avg_ishf","longname":"Time-mean surface sensible heat flux","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235034,"shortname":"avg_slhtf","longname":"Time-mean surface latent heat flux","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235035,"shortname":"avg_sdswrf","longname":"Time-mean surface downward short-wave radiation flux","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235036,"shortname":"avg_sdlwrf","longname":"Time-mean surface downward long-wave 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Sunshine is defined as a radiation intensity above 120 W m-2.","access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235045,"shortname":"avg_iegwss","longname":"Time-mean eastward gravity wave surface stress","units":"N m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235046,"shortname":"avg_ingwss","longname":"Time-mean northward gravity wave surface stress","units":"N m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235047,"shortname":"avg_igwd","longname":"Time-mean gravity wave dissipation","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235048,"shortname":"avg_rorwe","longname":"Time-mean runoff rate water equivalent (surface plus subsurface)","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235049,"shortname":"avg_tnswrfcs","longname":"Time-mean top net short-wave radiation flux, clear sky","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235050,"shortname":"avg_tnlwrfcs","longname":"Time-mean top net long-wave radiation flux, clear sky","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235051,"shortname":"avg_snswrfcs","longname":"Time-mean surface net short-wave radiation flux, clear sky","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235052,"shortname":"avg_snlwrfcs","longname":"Time-mean surface net long-wave radiation flux, clear sky","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235053,"shortname":"avg_tdswrf","longname":"Time mean top downward short-wave radiation flux","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235054,"shortname":"avg_vimdf","longname":"Time-mean total column vertically-integrated moisture divergence flux","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235055,"shortname":"avg_tprate","longname":"Time-mean total precipitation rate","units":"kg m**-2 s**-1","description":"Time-mean total precipitation rate, or time-mean total precipitation flux. This parameter is on level \"Ground or water surface\" (typeOfFirstFixedSurface=1). For this parameter on other levels, please use 235013.","access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235056,"shortname":"avg_csfr","longname":"Time-mean convective snowfall rate water equivalent","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235057,"shortname":"avg_lssfr","longname":"Time-mean large scale snowfall rate water equivalent","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235058,"shortname":"avg_sdirswrf","longname":"Time-mean surface direct short-wave radiation flux","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235059,"shortname":"avg_sdirswrfcs","longname":"Time-mean surface direct short-wave radiation flux, clear sky","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235060,"shortname":"msdfswrf","longname":"Mean surface diffuse short-wave radiation flux","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235061,"shortname":"avg_sdifswrfcs","longname":"Time-mean surface diffuse short-wave radiation flux, clear sky","units":"W m**-2","description":null,"access_ids":[],"origin_ids":[98],"table":235,"mars_request_context":[]},{"id":235062,"shortname":"avg_fco2nee","longname":"Time-mean carbon dioxide net ecosystem exchange flux","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[-80,-50,98],"table":235,"mars_request_context":[]},{"id":235063,"shortname":"avg_fco2gpp","longname":"Time-mean carbon dioxide gross primary production flux","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[-80,-50,98],"table":235,"mars_request_context":[]},{"id":235064,"shortname":"avg_fco2rec","longname":"Time-mean carbon dioxide ecosystem respiration flux","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[-80,-50,98],"table":235,"mars_request_context":[]},{"id":235068,"shortname":"avg_sdswrfcs","longname":"Time-mean surface downward short-wave radiation flux, clear sky","units":"W m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235069,"shortname":"avg_sdlwrfcs","longname":"Time-mean surface downward long-wave radiation flux, clear sky","units":"W m**-2","description":"","access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235070,"shortname":"avg_pevr","longname":"Time-mean potential evaporation rate","units":"kg m**-2 s**-1","description":"","access_ids":[],"origin_ids":[0,98],"table":235,"mars_request_context":[]},{"id":235071,"shortname":"tislhsf","longname":"Time integral of surface latent heat sublimation flux","units":"J m**-2","description":"This parameter is the transfer of latent heat due to sublimation from snow surfaces between the Earth's surface and the atmosphere through the effects of turbulent air motion. Sublimation from the Earth's surface represents a transfer of energy from the surface to the atmosphere.See further documentation\r\n\r\nThis parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.\r\n\r\nThe ECMWF convention for vertical fluxes is positive downwards.","access_ids":[],"origin_ids":[0],"table":235,"mars_request_context":[]},{"id":235072,"shortname":"tisef","longname":"Time integral of snow evaporation flux","units":"kg m**-2","description":"This parameter is the accumulated amount of water that has evaporated from snow from the snow-covered area of a grid box.
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\nThis parameter is accumulated over a  particular time period which depends on the data extracted.
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The runoff consists of the contributions from surface runoff, outflow from ground water, additional runoff from rivers and reservoirs. Calculated as a flow (m3/s) per m river length. The value is the mean rate over the timestep","access_ids":[],"origin_ids":[0],"table":240,"mars_request_context":[]},{"id":240013,"shortname":"dis","longname":"Discharge from rivers or streams","units":"m**3 s**-1","description":"The instantaneous volume rate of water flow, including sediments, chemical and biological material, in the river channel through a cross section.","access_ids":[],"origin_ids":[0],"table":240,"mars_request_context":[]},{"id":240014,"shortname":"rivsto","longname":"River storage of water","units":"m**3","description":"The amount of water storage in the river network within a grid cell; this does not include the floodplain. The term storage refers to the total volume of water. This value is instantaneous.","access_ids":[],"origin_ids":[0],"table":240,"mars_request_context":[]},{"id":240015,"shortname":"fldsto","longname":"Floodplain storage of water","units":"m**3","description":"The amount of water storage on the floodplain within a grid cell.The term storage refers to the total volume of water.\r\nA floodplain is defined as: 'A flat or nearly flat land adjacent to a stream or river that stretches from the banks of its channel to the base of the enclosing valley walls and experiences flooding during periods of high discharge' (Goudie, A. S., 2004, Encyclopedia of Geomorphology, vol. 1. Routledge, New York. ISBN 0-415-32737-7). This value is instantaneous.","access_ids":[],"origin_ids":[0],"table":240,"mars_request_context":[]},{"id":240017,"shortname":"dslr","longname":"Days since last observation","units":"Integer","description":"The number of days since the last observation.\nThe value is initialised as 1 on the first day, and then incremented (instant)","access_ids":[],"origin_ids":[0],"table":240,"mars_request_context":[]},{"id":240018,"shortname":"frost","longname":"Frost index","units":"K","description":"When the soil surface is frozen, this affects the hydrological processes occurring near the soil surface. To estimate whether the soil surface is frozen or not, a frost index F is calculated. The equation is based on Molnau & Bissell (1983, cited in Maidment 1993), and adjusted for variable time steps. The rate at which the frost index changes is given by:\r\n

\r\ndF/dt = (1-Af)F-Tav•e(-0.04•K•ds/wes)\r\n

\r\ndF/dt is expressed in [°C day-1 day-1 ]. Af is a decay coefficient [day-1], K is a a snow\r\ndepth reduction coefficient [cm-1], ds is the (pixel-average) depth of the snow cover\r\n(expressed as mm equivalent water depth), and wes is a parameter called snow\r\nwater equivalent, which is the equivalent water depth water of a snow cover\r\n(Maidment, 1993). The soil is considered frozen when the frost index rises above a\r\ncritical threshold of 56. For each time step the value of F [°C day-1] is updated as:\n

\r\nF(t) = F(t −1) + dF/dt•Δt\r\n

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Instantaneous.

Please note that the encodings listed here for uerra (which includes carra/cerra) are for Time-mean total column vertically-integrated graupel (snow pellets). The specific encoding for Time-mean total column vertically-integrated graupel (snow pellets) can be found in 235120.

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This parameter describes the type of precipitation at the surface, at the specified time.

A precipitation type is assigned wherever there is a non-zero value of precipitation in the model output field. The precipitation type should be used together with the precipitation rate to provide, for example, an indication of potential freezing rain events.

In the ECMWF Integrated Forecasting System (IFS) there are only two predicted precipitation variables: rain and snow. Precipitation type is derived from these two predicted variables in combination with atmospheric conditions, such as temperature.

Values of precipitation type defined in the IFS:

0 = No precipitation
1 = Rain
3 = Freezing rain (i.e. supercooled raindrops which freeze on contact with the ground and other surfaces)
5 = Snow
6 = Wet snow (i.e. snow particles which are starting to melt)
7 = Mixture of rain and snow
8 = Ice pellets
12 = Freezing drizzle (i.e. supercooled drizzle which freezes on contact with the ground and other surfaces)

These precipitation types are consistent with WMO Code Table 4.201. 2 (thunderstorm), 4 (mixed ice) and 9 (graupel), 10 (hail) and 11 (drizzle) are not diagnosed in the IFS.

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Please refer to parameter 144 (m of water equivalent) and 228144 (kg m-2) for this parameter.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260026,"shortname":"pwcat","longname":"Precipitable water category","units":"(Code table 4.202)","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260027,"shortname":"hail","longname":"Hail","units":"m","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260028,"shortname":"grle","longname":"Graupel (snow pellets)","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260029,"shortname":"crain","longname":"Categorical rain","units":"(Code table 4.222)","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260030,"shortname":"cfrzr","longname":"Categorical freezing rain","units":"(Code table 4.222)","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260031,"shortname":"cicep","longname":"Categorical ice pellets","units":"(Code table 4.222)","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260032,"shortname":"csnow","longname":"Categorical snow","units":"(Code table 4.222)","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260033,"shortname":"cpr","longname":"Convective precipitation rate","units":"kg m**-2 s**-1","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260034,"shortname":"mdiv","longname":"Horizontal moisture divergence","units":"kg kg**-1 s**-1","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260035,"shortname":"cpofp","longname":"Percent frozen precipitation","units":"%","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260036,"shortname":"pevap","longname":"Potential evaporation","units":"kg m**-2","description":"[DEPRECATED - Please use paramId 231005 instead]","access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260038,"shortname":"snowc","longname":"Snow cover","units":"%","description":null,"access_ids":[],"origin_ids":[-80,0,7],"table":260,"mars_request_context":[]},{"id":260039,"shortname":"frain","longname":"Rain fraction of total cloud water","units":"Proportion","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260040,"shortname":"rime","longname":"Rime factor","units":"Numeric","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260041,"shortname":"tcolr","longname":"Total column integrated rain","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260042,"shortname":"tcols","longname":"Total column integrated snow","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260043,"shortname":"lswp","longname":"Large scale water precipitation (non-convective)","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260044,"shortname":"cwp","longname":"Convective water precipitation","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260045,"shortname":"twatp","longname":"Total water precipitation","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260046,"shortname":"tsnowp","longname":"Total snow precipitation","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260047,"shortname":"tcwat","longname":"Total column water (Vertically integrated total water (vapour + cloud water/ice))","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260048,"shortname":"tprate","longname":"Total precipitation rate","units":"kg m**-2 s**-1","description":"This parameter is the rate of total precipitation, at the specified time.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box.See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step .","access_ids":["dissemination"],"origin_ids":[0,98],"table":260,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":260049,"shortname":"tsrwe","longname":"Total snowfall rate water 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Cloud ceiling is a measurement used in the aviation industry to indicate airport landing conditions.

This parameter is calculated by searching from the second lowest model level upwards, to the height of the level where cloud fraction becomes greater than 50% and condensate content greater than 1.E-6 kg kg-1. Fog (i.e., cloud in the lowest model layer) is not considered when defining ceiling.","access_ids":["dissemination"],"origin_ids":[0,98],"table":260,"mars_request_context":[{"class":"od","stream":"eefh","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefh","type":"pf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"cf","levtype":"sfc"},{"class":"od","stream":"eefo","type":"pf","levtype":"sfc"},{"class":"od","stream":"elda","type":"fc","levtype":"sfc"},{"class":"od","stream":"enfh","type":"cf","levtype":"sfc"},{"class":"od","stream":"enfh","type":"pf","levtype":"sfc"},{"class":"od","stream":"enfo","type":"pf","levtype":"sfc"},{"class":"od","stream":"lwda","type":"fc","levtype":"sfc"},{"class":"od","stream":"oper","type":"fc","levtype":"sfc"}]},{"id":260110,"shortname":"cdlyr","longname":"Non-convective cloud cover","units":"%","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260111,"shortname":"cwork","longname":"Cloud work function","units":"J kg**-1","description":null,"access_ids":[],"origin_ids":[0,7,34],"table":260,"mars_request_context":[]},{"id":260112,"shortname":"cuefi","longname":"Convective cloud efficiency","units":"Proportion","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260113,"shortname":"tcond","longname":"Total condensate","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260114,"shortname":"tcolw","longname":"Total column-integrated cloud water","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260115,"shortname":"tcoli","longname":"Total column-integrated cloud ice","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260116,"shortname":"tcolc","longname":"Total column-integrated condensate","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260117,"shortname":"fice","longname":"Ice fraction of total condensate","units":"Proportion","description":null,"access_ids":[],"origin_ids":[0,7],"table":260,"mars_request_context":[]},{"id":260118,"shortname":"cdcimr","longname":"Cloud ice mixing ratio","units":"kg kg**-1","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260119,"shortname":"suns","longname":"Sunshine","units":"Numeric","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260120,"shortname":"~","longname":"Horizontal extent of cumulonimbus (CB)","units":"%","description":null,"access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260121,"shortname":"kx","longname":"K index","units":"K","description":"This parameter is a measure of potential for a thunderstorm to develop calculated from the temperature and dew point temperature in the lower part of the atmosphere. The calculation uses the temperature at 850, 700 and 500 hPa and dewpoint temperature at 850 and 700 hPa. Higher values of K indicate a higher potential for the development of thunderstorms.

This parameter is related to the probability of occurrence of a thunderstorm:
Parameter valueThunderstorm Probability
<20 K No thunderstorm.
20-25 K Isolated thunderstorms.
26-30 K Widely scattered thunderstorms.
31-35 K Scattered thunderstorms.
>35 K Numerous thunderstorms
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TT indexThunderstorm Probability
<44Thunderstorms not likely.
44-50Thunderstorms likely.
51-52Isolated severe thunderstorms.
53-56Widely scattered severe thunderstorms.
56-60Scattered severe thunderstorms more likely.
The total totals index is the temperature difference between 850 hPa (near surface) and 500 hPa (mid-troposphere) (lapse rate) plus a measure of the moisture content between 850 hPa and 500 hPa. The probability of deep convection tends to increase with increasing lapse rate and atmospheric moisture content.

There are a number of limitations to this index. Also, the interpretation of the index value varies with season and location. 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m**-2","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260479,"shortname":"lspa","longname":"Land Surface Precipitation Accumulation","units":"kg m**-2","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260480,"shortname":"baret","longname":"Bare soil surface skin temperature","units":"K","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260481,"shortname":"avsft","longname":"Average surface skin temperature","units":"K","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260482,"shortname":"radt","longname":"Effective radiative skin temperature","units":"K","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260483,"shortname":"fldcp","longname":"Field Capacity","units":"Fraction","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260484,"shortname":"usct","longname":"Scatterometer Estimated U Wind Component","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260485,"shortname":"vsct","longname":"Scatterometer Estimated V Wind Component","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260486,"shortname":"wstp","longname":"Wave Steepness","units":"~","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260487,"shortname":"omlu","longname":"Ocean Mixed Layer U Velocity","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260488,"shortname":"omlv","longname":"Ocean Mixed Layer V Velocity","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260489,"shortname":"ubaro","longname":"Barotropic U velocity","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260490,"shortname":"vbaro","longname":"Barotropic V velocity","units":"m s**-1","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260491,"shortname":"surge","longname":"Storm Surge","units":"m","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260492,"shortname":"etsrg","longname":"Extra Tropical Storm Surge","units":"m","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260493,"shortname":"elevhtml","longname":"Ocean Surface Elevation Relative to Geoid","units":"m","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260494,"shortname":"sshg","longname":"Sea Surface Height Relative to Geoid","units":"m","description":null,"access_ids":[],"origin_ids":[7],"table":260,"mars_request_context":[]},{"id":260495,"shortname":"p2omlt","longname":"Ocean Mixed Layer Potential Density (Reference 2000m)\r\nInformation on how the Fine Fuel Moisture code is calculated is given in: Development and structure of the Canadian Forest Fire Weather Index System. 1987. Van Wagner, C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report 35. 35 p.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260542,"shortname":"dufmcode","longname":"Duff moisture code (as defined by the Canadian Forest Service)","units":"Numeric","description":"Numerical rating of the moisture content of loosely compacted organic fuel layers of moderate depth.
\r\nInformation on how the Duff Moisture Code is calculated is given in: Development and structure of the Canadian Forest Fire Weather Index System. 1987. Van Wagner, C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report 35. 35 p.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260543,"shortname":"drtcode","longname":"Drought code (as defined by the Canadian Forest Service)","units":"Numeric","description":"Numerical rating of the moisture content of deep, compact organic fuel layers.
\r\nInformation on how the Drought Code is calculated is given in: Development and structure of the Canadian Forest Fire Weather Index System. 1987. Van Wagner, C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report 35. 35 p.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260544,"shortname":"infsinx","longname":"Initial fire spread index (as defined by the Canadian Forest Service)","units":"Numeric","description":"Numerical rating of the expected rate of fire spread.
\r\nInformation on how the Initial fire spread index is calculated is given in: Development and structure of the Canadian Forest Fire Weather Index System. 1987. Van Wagner, C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report 35. 35 p.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260545,"shortname":"fbupinx","longname":"Fire buildup index (as defined by the Canadian Forest Service)","units":"Numeric","description":"Numerical rating of the total amount of fuel available for combustion.
\r\nInformation on how the fire build-up index is calculated is given in: Development and structure of the Canadian Forest Fire Weather Index System. 1987. Van Wagner, C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report 35. 35 p.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260546,"shortname":"fdsrte","longname":"Fire daily severity rating (as defined by the Canadian Forest Service)","units":"Numeric","description":"Numeric rating of the difficulty of controlling fires. It is based on the Fire Weather Index but more accurately reflects the expected efforts required for fire suppression.
\r\nInformation on how the fire daily severity rating is calculated is given in: Development and structure of the Canadian Forest Fire Weather Index System. 1987. Van Wagner, C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report 35. 35 p.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260550,"shortname":"~","longname":"Cloudy radiance (with respect to wave number)","units":"W m**-1 sr**-1","description":"","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260551,"shortname":"~","longname":"Clear-sky radiance (with respect to wave number)","units":"W m**-1 sr**-1","description":"","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260552,"shortname":"~","longname":"Wind speed","units":"m s**-1","description":"","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260553,"shortname":"~","longname":"Aerosol optical thickness at 0.635 um","units":"dimensionless","description":"","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260554,"shortname":"~","longname":"Aerosol optical thickness at 0.810 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This parameter does not include precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.\r\n\r\nThis parameter is the total amount of solid precipitation accumulated over a particular time period which depends on the data extracted.\r\n\r\nCare should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260646,"shortname":"10efg","longname":"10 metre eastward wind gust since previous post-processing","units":"m s**-1","description":"This parameter is the eastward component of the maximum wind gust since the previous post-processing step at a height of ten metres above the surface of the Earth.
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\nCare should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260647,"shortname":"10nfg","longname":"10 metre northward wind gust since previous post-processing","units":"m s**-1","description":"This parameter is the northward component of the maximum wind gust since the previous post-processing step at a height of ten metres above the surface of the Earth.
\nThe WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step since the previous post-processing time.
\nCare should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260648,"shortname":"fog","longname":"Fog","units":"%","description":"This parameter is defined as cloud cover in the lowest model level.","access_ids":[],"origin_ids":[0],"table":260,"mars_request_context":[]},{"id":260649,"shortname":"sist","longname":"Sea ice surface temperature","units":"K","description":"This parameter is the temperature of sea ice near the surface.","access_ids":[],"origin_ids":[-20],"table":260,"mars_request_context":[]},{"id":260650,"shortname":"sitd","longname":"Snow on ice total depth","units":"m","description":"This parameter is snow on ice depth.","access_ids":[],"origin_ids":[-20],"table":260,"mars_request_context":[]},{"id":260651,"shortname":"srlh","longname":"Surface roughness length for heat","units":"m","description":"The surface roughness for heat is a measure of the surface resistance to heat transfer. This parameter is used to determine the air to surface transfer of heat. For given atmospheric conditions, a higher surface roughness for heat means that it is more difficult for the air to exchange heat with the surface. A lower surface roughness for heat that it is easier for the air to exchange heat with the surface.
Over the ocean, surface roughness for heat depends on the waves. Over sea-ice, it has a constant value of 0.001 m. Over the land, it is derived from the vegetation type and snow cover. 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requests (e.g. "t", "tp"). # Must be non-empty. # # longname (string) # Human-readable description (e.g. "Temperature"). # Must be non-empty. # # Optional fields (all have sensible defaults) # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # units (string) Physical units. Default: "unknown". # Examples: "K", "m s**-1", "kg m**-2 s**-1" # # origin_ids (list of int) WMO originating centre IDs. Default: []. # Common values: # 98 — ECMWF # 0 — WMO / unspecified # 7 — NCEP (US) # 46 — INPE (Brazil) # # access_ids (list of string) Access-category tags. Default: []. # Examples: "dissemination", "research", "test" # # Extra fields # ~~~~~~~~~~~~ # Any extra keys (e.g. "url", "version", "notes") are allowed and are preserved # verbatim in the dict returned by db.get_metadata(). # # Canonical keys only # ~~~~~~~~~~~~~~~~~~~~ # Only the canonical field spellings are accepted (by both the Pydantic # loader and the bundled JSON schema): # shortname (not shortName / short_name) # longname (not longName / long_name / name) # Raw API alias spellings are NOT accepted; normalise them to canonical # keys before loading. # # # Validation # ---------- # Validate programmatically with ParameterEntry (Pydantic v2): # # import pydantic, yaml # from pymetkit import ParameterEntry # # entries = yaml.safe_load(open("custom_param_example.yaml")) # for raw in entries: # try: # ParameterEntry.model_validate(raw) # except pydantic.ValidationError as exc: # print(f"Invalid entry (id={raw.get('id')}): {exc}") # # Or validate with the bundled JSON schema (share/metkit/parameter_entry_schema.json): # # import json, jsonschema, yaml # schema = json.load(open("share/metkit/parameter_entry_schema.json")) # entries = yaml.safe_load(open("custom_param_example.yaml")) # for entry in entries: # jsonschema.validate(instance=entry, schema=schema) # # VS Code: the "# yaml-language-server" comment at the top of this file enables # inline validation and autocompletion if you have the YAML extension installed. # # --------------------------------------------------------------------------- # --- Minimal entry (required fields only) ----------------------------------- - id: 900001 shortname: myvar longname: My Custom Variable # --- Entry with units ------------------------------------------------------- - id: 900002 shortname: myflux longname: My Custom Surface Flux units: W m**-2 # --- Full entry with all optional fields ------------------------------------ - id: 900003 shortname: mytemp longname: My Custom Temperature units: K origin_ids: [98] # 98 = ECMWF access_ids: [dissemination, research] # --- Entry with multiple originating centres -------------------------------- - id: 900004 shortname: mywind longname: My Custom Wind Speed units: m s**-1 origin_ids: [98, 0] # ECMWF + WMO access_ids: [dissemination] # --- Entry using canonical keys --------------------------------------------- # (Raw API spellings like shortName / name are accepted by the Pydantic # loader, but the JSON schema validates canonical keys only, so this file # uses shortname / longname throughout.) - id: 900005 shortname: myrain longname: My Custom Rainfall units: kg m**-2 # --- Entry with extra metadata fields (preserved in get_metadata()) --------- - id: 900006 shortname: mycloud longname: My Custom Cloud Fraction units: "1" # dimensionless origin_ids: [98] access_ids: [research] url: "https://my-docs.example.com/mycloud" version: 2 notes: "Experimental parameter — not for operational use" metkit-1.22.0/share/metkit/axis.yaml0000664000175000017500000000161715263642712017521 0ustar alastairalastair--- axes: - class - country - type - stream - levtype - origin - product - section - method - system - date - refdate - hdate - offsetdate - time - offsettime - anoffset - reference - dataset - step - fcmonth - fcperiod - leadtime - opttime - expver - domain - diagnostic - iteration - quantile - number - levelist - latitude - longitude - range - param - chem - wavelength - timespan - stattype - ident - obstype - instrument - frequency - direction - channel - obsgroup - reportype - activity - experiment - generation - model - realization - resolution - year - month - bcmodel - icmodel - grib - georef - coeffindex - forcing - configuration - obscutoff metkit-1.22.0/share/metkit/CMakeLists.txt0000664000175000017500000000366215263642712020433 0ustar alastairalastairlist( APPEND files language.yaml modifiers.yaml reportype.yaml obstype.yaml paramids.yaml params.yaml params-static.yaml param-matching.yaml chemids.yaml bufr-subtypes.yaml axis.yaml shortname-context.yaml ) foreach( _file ${files} ) configure_file( ${_file} ${CMAKE_BINARY_DIR}/share/metkit/${_file} COPYONLY ) list( APPEND installed_files ${CMAKE_BINARY_DIR}/share/metkit/${_file} ) if( HAVE_METKIT_CONFIG ) install( FILES ${CMAKE_BINARY_DIR}/share/metkit/${_file} DESTINATION "share/metkit" PERMISSIONS OWNER_WRITE OWNER_READ GROUP_READ WORLD_READ ) endif() endforeach() if( HAVE_METKIT_CONFIG ) # re-run whenever a config yaml is copied or the generator tool is rebuilt; # force regeneration since create-binary-files skips writing if the file already exists; # disable plugin auto-loading, since sibling projects' libraries may not be built yet at this point # disable LeakSanitizer so intentionally immortal singletons (e.g. MarsLanguage::get) don't fail sanitizer builds add_custom_command(OUTPUT ${CMAKE_BINARY_DIR}/share/metkit/params.bin COMMAND ${CMAKE_COMMAND} -E remove -f ${CMAKE_BINARY_DIR}/share/metkit/params.bin COMMAND ${CMAKE_COMMAND} -E env METKIT_HOME=${CMAKE_BINARY_DIR} METKIT_FORCE_BINFILE_CREATION=1 AUTO_LOAD_PLUGINS=0 ASAN_OPTIONS=detect_leaks=0 LSAN_OPTIONS=detect_leaks=0 $ DEPENDS create-binary-files ${installed_files} WORKING_DIRECTORY ${CMAKE_BINARY_DIR} COMMENT "Create binary files for Metkit configuration") add_custom_target( metkit_params_bin ALL DEPENDS ${CMAKE_BINARY_DIR}/share/metkit/params.bin ) install( FILES ${CMAKE_BINARY_DIR}/share/metkit/params.bin DESTINATION "share/metkit" PERMISSIONS OWNER_WRITE OWNER_READ GROUP_READ WORLD_READ ) endif() add_subdirectory( odb ) metkit-1.22.0/share/metkit/params.yaml0000664000175000017500000037606715263642712020056 0ustar alastairalastair# File automatically generated by make-params-yaml.py # Do not edit - 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172212 - 228008 - 228014 - - class: od levtype: sfc stream: msmm type: fcstdev - - 31 - 33 - 34 - 39 - 40 - 41 - 42 - 49 - 51 - 52 - 78 - 79 - 137 - 139 - 141 - 151 - 164 - 165 - 166 - 167 - 168 - 170 - 183 - 186 - 206 - 207 - 229 - 230 - 236 - 243 - 172008 - 172009 - 172142 - 172143 - 172144 - 172146 - 172147 - 172169 - 172175 - 172176 - 172177 - 172178 - 172179 - 172180 - 172181 - 172182 - 172189 - 172205 - 172212 - 172228 - 228008 - 228014 - - class: od levtype: pl stream: msmm type: hcmean - - 129 - 130 - 131 - 132 - 133 - 138 - 155 - 156 - 203 - - class: od levtype: pt stream: msmm type: hcmean - - 60 - - class: od levtype: pv stream: msmm type: hcmean - - 3 - - class: od levtype: sfc stream: msmm type: hcmean - - 31 - 33 - 34 - 39 - 40 - 41 - 42 - 49 - 51 - 52 - 78 - 79 - 137 - 139 - 141 - 151 - 164 - 165 - 166 - 167 - 168 - 170 - 183 - 186 - 206 - 207 - 229 - 230 - 236 - 243 - 172008 - 172009 - 172142 - 172143 - 172144 - 172146 - 172147 - 172169 - 172175 - 172176 - 172177 - 172178 - 172179 - 172180 - 172181 - 172182 - 172189 - 172205 - 172212 - 172228 - 228008 - 228014 - - class: od levtype: ml stream: oper type: 4i - - 200130 - 200131 - 200132 - 200133 - 200138 - 200152 - 200155 - 200203 - - class: od levtype: ml stream: oper type: 4v - - 75 - 76 - 77 - 129 - 130 - 131 - 132 - 133 - 135 - 138 - 152 - 155 - 156 - 203 - 246 - 247 - 248 - - class: od levtype: pl stream: oper type: 4v - - 60 - 129 - 130 - 131 - 132 - 133 - 135 - 138 - 152 - 155 - 156 - 157 - 203 - 246 - 247 - 248 - - class: od levtype: pt stream: oper type: 4v - - 53 - 54 - 60 - 131 - 132 - 133 - 138 - 155 - 203 - - class: od levtype: pv stream: oper type: 4v - - 3 - 54 - 129 - 131 - 132 - 133 - 156 - 203 - - class: od levtype: sfc stream: oper type: 4v - - 8 - 9 - 15 - 16 - 17 - 18 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - 45 - 57 - 58 - 59 - 66 - 67 - 74 - 78 - 79 - 129 - 134 - 136 - 137 - 139 - 141 - 142 - 143 - 148 - 151 - 156 - 160 - 161 - 162 - 163 - 164 - 165 - 166 - 167 - 168 - 169 - 170 - 172 - 173 - 174 - 175 - 176 - 183 - 186 - 187 - 188 - 195 - 196 - 197 - 198 - 205 - 206 - 228 - 229 - 230 - 234 - 235 - 236 - 238 - 244 - 245 - 174096 - 210186 - 210187 - 210188 - 210189 - 210190 - 210191 - 228007 - 228008 - 228009 - 228010 - 228011 - 228012 - 228013 - 228014 - 228021 - 228022 - 228089 - 228090 - 228131 - 228132 - 228239 - 228240 - 228246 - 228247 - - class: od levtype: ml stream: oper type: an - - 75 - 76 - 77 - 129 - 130 - 131 - 132 - 133 - 135 - 138 - 152 - 155 - 156 - 203 - 246 - 247 - 248 - - class: od levtype: pl stream: oper type: an - - 60 - 129 - 130 - 131 - 132 - 133 - 135 - 138 - 152 - 155 - 156 - 157 - 203 - 246 - 247 - 248 - - class: od levtype: pt stream: oper type: an - - 53 - 54 - 60 - 131 - 132 - 133 - 138 - 155 - 203 - - class: od levtype: pv stream: oper type: an - - 3 - 54 - 129 - 131 - 132 - 133 - 156 - 203 - - class: od levtype: sfc stream: oper type: an - - 15 - 16 - 17 - 18 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 66 - 67 - 74 - 78 - 79 - 129 - 134 - 136 - 137 - 139 - 141 - 148 - 151 - 156 - 160 - 161 - 162 - 163 - 164 - 165 - 166 - 167 - 168 - 170 - 172 - 173 - 174 - 183 - 186 - 187 - 188 - 198 - 206 - 229 - 230 - 234 - 235 - 236 - 238 - 129172 - 151131 - 151132 - 174096 - 210186 - 210187 - 210188 - 210189 - 210190 - 210191 - 228007 - 228008 - 228009 - 228010 - 228011 - 228012 - 228013 - 228014 - 228021 - 228022 - 228089 - 228090 - 228239 - 228240 - 228246 - 228247 - 229001 - 260289 - - class: od levtype: sol stream: oper type: an - - 33 - 238 - 228038 - 228141 - - class: od levtype: fl stream: oper type: fc - - 260290 - - class: od levtype: ml stream: oper type: fc - - 75 - 76 - 77 - 129 - 130 - 131 - 132 - 133 - 135 - 138 - 152 - 155 - 156 - 203 - 246 - 247 - 248 - 162110 - 260290 - - class: od levtype: o2d stream: oper type: fc - - 262000 - 262001 - 262002 - 262003 - 262004 - 262005 - 262006 - 262008 - 262009 - 262011 - 262014 - 262015 - 262017 - 262018 - 262023 - 262100 - 262101 - 262102 - 262103 - 262104 - 262105 - 262106 - 262108 - 262113 - 262114 - 262115 - 262116 - 262118 - 262119 - 262120 - 262121 - 262122 - 262123 - 262124 - 262125 - 262130 - 262139 - 262140 - 262141 - 262143 - - class: od levtype: o3d stream: oper type: fc - - 262500 - 262501 - 262502 - 262505 - 262506 - 262507 - - class: od levtype: pl stream: oper type: fc - - 1 - 2 - 60 - 129 - 130 - 131 - 132 - 133 - 135 - 138 - 152 - 155 - 156 - 157 - 203 - 246 - 247 - 248 - - class: od levtype: pt stream: oper type: fc - - 54 - 60 - 131 - 132 - 133 - 138 - 155 - 203 - - class: od levtype: pv stream: oper type: fc - - 3 - 54 - 129 - 131 - 132 - 133 - 156 - 203 - - class: od levtype: sfc stream: oper type: fc - - 8 - 9 - 20 - 26 - 27 - 28 - 29 - 30 - 31 - 32 - 33 - 34 - 35 - 36 - 37 - 38 - 39 - 40 - 41 - 42 - 43 - 44 - 45 - 47 - 49 - 50 - 57 - 58 - 66 - 67 - 74 - 78 - 79 - 121 - 122 - 123 - 129 - 134 - 136 - 137 - 139 - 141 - 142 - 143 - 144 - 145 - 146 - 147 - 148 - 151 - 156 - 159 - 160 - 161 - 162 - 163 - 164 - 165 - 166 - 167 - 168 - 169 - 170 - 172 - 173 - 174 - 175 - 176 - 177 - 178 - 179 - 180 - 181 - 182 - 183 - 186 - 187 - 188 - 189 - 195 - 196 - 197 - 198 - 201 - 202 - 205 - 206 - 207 - 208 - 209 - 210 - 211 - 212 - 213 - 228 - 229 - 230 - 231 - 232 - 234 - 235 - 236 - 238 - 243 - 244 - 245 - 3020 - 151130 - 151131 - 151132 - 151145 - 151148 - 151163 - 151164 - 151175 - 162071 - 162072 - 174096 - 174098 - 210186 - 210187 - 210188 - 210189 - 210190 - 210191 - 228003 - 228007 - 228008 - 228009 - 228010 - 228011 - 228012 - 228013 - 228014 - 228020 - 228021 - 228022 - 228023 - 228024 - 228026 - 228027 - 228028 - 228029 - 228035 - 228036 - 228044 - 228045 - 228046 - 228047 - 228048 - 228050 - 228051 - 228057 - 228058 - 228080 - 228081 - 228082 - 228083 - 228084 - 228085 - 228088 - 228089 - 228090 - 228129 - 228130 - 228131 - 228132 - 228216 - 228217 - 228218 - 228219 - 228220 - 228221 - 228222 - 228223 - 228224 - 228225 - 228226 - 228227 - 228231 - 228232 - 228233 - 228234 - 228235 - 228236 - 228237 - 228239 - 228240 - 228241 - 228246 - 228247 - 228249 - 228251 - 260004 - 260005 - 260015 - 260048 - 260109 - 260121 - 260123 - 260242 - 260255 - 260289 - 260318 - 260319 - 260320 - 260321 - 260338 - 260339 - 261001 - 261002 - 261014 - 261015 - 261016 - 261018 - 261023 - - class: od levtype: sol stream: oper type: fc - - 33 - 238 - 228038 - 228141 - - class: od levtype: ml stream: oper type: me - - 200130 - 200131 - 200132 - 200138 - 200152 - 200155 - - class: od stream: oper type: ssd - - 260510 - 260512 - - class: od stream: oper type: tf - - 129 - 999 - - class: od levtype: pl stream: oper type: wp - - 129 - 130 - 131 - 132 - 157 - - class: od levtype: sfc stream: oper type: wp - - 39 - 40 - 41 - 42 - 121 - 122 - 123 - 129 - 134 - 139 - 141 - 142 - 143 - 144 - 151 - 164 - 165 - 166 - 167 - 168 - 169 - 170 - 172 - 183 - 186 - 187 - 188 - 189 - 228 - 236 - 228235 - - class: od stream: scda type: tf - - 129 - 999 - - class: od levtype: sfc stream: swmm type: fcmax - - 140220 - 140221 - 140229 - 140231 - 140232 - 140233 - 140244 - 140245 - - class: od levtype: sfc stream: swmm type: fcmean - - 140220 - 140221 - 140229 - 140231 - 140232 - 140233 - 140244 - 140245 - - class: od levtype: sfc stream: swmm type: fcmin - - 140220 - 140221 - 140229 - 140231 - 140232 - 140233 - 140244 - 140245 - - class: od levtype: sfc stream: swmm type: fcstdev - - 140220 - 140221 - 140229 - 140231 - 140232 - 140233 - 140244 - 140245 - - class: od levtype: sfc stream: waef type: efi - - 132216 - - class: od levtype: sfc stream: waef type: efic - - 132216 - - class: od levtype: sfc stream: waef type: ep - - 131074 - 131075 - 131076 - 131077 - 131078 - 131079 - 131080 - 131081 - - class: od levtype: sfc stream: waef type: pf - - 140098 - 140099 - 140100 - 140101 - 140102 - 140103 - 140104 - 140105 - 140112 - 140113 - 140114 - 140115 - 140116 - 140117 - 140118 - 140119 - 140120 - 140121 - 140122 - 140123 - 140124 - 140125 - 140126 - 140127 - 140128 - 140129 - 140131 - 140132 - 140133 - 140134 - 140207 - 140208 - 140209 - 140211 - 140212 - 140214 - 140215 - 140216 - 140217 - 140218 - 140219 - 140220 - 140221 - 140222 - 140223 - 140224 - 140225 - 140226 - 140227 - 140228 - 140229 - 140230 - 140231 - 140232 - 140233 - 140234 - 140235 - 140236 - 140237 - 140238 - 140239 - 140244 - 140245 - 140249 - 140251 - 140252 - 140253 - 140254 - - class: od levtype: sfc stream: waef type: sot - - 132216 - - class: od levtype: sfc stream: wasf type: fc - - 140220 - 140221 - 140229 - 140230 - 140231 - 140232 - 140233 - 140244 - 140245 - 140249 - - class: od levtype: sfc stream: wave type: 4v - - 140098 - 140099 - 140100 - 140101 - 140102 - 140103 - 140104 - 140105 - 140112 - 140113 - 140114 - 140115 - 140116 - 140117 - 140118 - 140119 - 140120 - 140121 - 140122 - 140123 - 140124 - 140125 - 140126 - 140127 - 140128 - 140129 - 140207 - 140208 - 140209 - 140211 - 140212 - 140214 - 140215 - 140216 - 140217 - 140218 - 140219 - 140220 - 140221 - 140222 - 140223 - 140224 - 140225 - 140226 - 140227 - 140228 - 140229 - 140230 - 140231 - 140232 - 140233 - 140234 - 140235 - 140236 - 140237 - 140238 - 140239 - 140244 - 140245 - 140246 - 140247 - 140248 - 140249 - 140251 - 140252 - 140253 - 140254 - - class: od levtype: sfc stream: wave type: an - - 140098 - 140099 - 140100 - 140101 - 140102 - 140103 - 140104 - 140105 - 140112 - 140113 - 140114 - 140115 - 140116 - 140117 - 140118 - 140119 - 140120 - 140121 - 140122 - 140123 - 140124 - 140125 - 140126 - 140127 - 140128 - 140129 - 140131 - 140132 - 140133 - 140134 - 140207 - 140208 - 140209 - 140211 - 140212 - 140214 - 140215 - 140216 - 140217 - 140218 - 140219 - 140220 - 140221 - 140222 - 140223 - 140224 - 140225 - 140226 - 140227 - 140228 - 140229 - 140230 - 140231 - 140232 - 140233 - 140234 - 140235 - 140236 - 140237 - 140238 - 140239 - 140244 - 140245 - 140246 - 140247 - 140248 - 140249 - 140251 - 140252 - 140253 - 140254 - - class: od levtype: sfc stream: wave type: fc - - 140098 - 140099 - 140100 - 140101 - 140102 - 140103 - 140104 - 140105 - 140112 - 140113 - 140114 - 140115 - 140116 - 140117 - 140118 - 140119 - 140120 - 140121 - 140122 - 140123 - 140124 - 140125 - 140126 - 140127 - 140128 - 140129 - 140131 - 140132 - 140133 - 140134 - 140207 - 140208 - 140209 - 140211 - 140212 - 140214 - 140215 - 140216 - 140217 - 140218 - 140219 - 140220 - 140221 - 140222 - 140223 - 140224 - 140225 - 140226 - 140227 - 140228 - 140229 - 140230 - 140231 - 140232 - 140233 - 140234 - 140235 - 140236 - 140237 - 140238 - 140239 - 140244 - 140245 - 140249 - 140251 - 140252 - 140253 - 140254 - - class: od levtype: sfc stream: weef type: cf - - 140098 - 140099 - 140100 - 140101 - 140102 - 140103 - 140104 - 140105 - 140112 - 140113 - 140114 - 140115 - 140116 - 140117 - 140118 - 140119 - 140120 - 140121 - 140122 - 140123 - 140124 - 140125 - 140126 - 140127 - 140128 - 140129 - 140131 - 140132 - 140133 - 140134 - 140207 - 140208 - 140209 - 140211 - 140212 - 140214 - 140215 - 140216 - 140217 - 140218 - 140219 - 140220 - 140221 - 140222 - 140223 - 140224 - 140225 - 140226 - 140227 - 140228 - 140229 - 140230 - 140231 - 140232 - 140233 - 140234 - 140235 - 140236 - 140237 - 140238 - 140239 - 140244 - 140245 - 140249 - 140251 - 140252 - 140253 - 140254 - - class: od levtype: sfc stream: weef type: fcmax - - 140229 - 140231 - 140232 - 140233 - 140245 - - class: od levtype: sfc stream: weef type: fcmean - - 140229 - 140231 - 140232 - 140233 - 140245 - - class: od levtype: sfc stream: weef type: fcmin - - 140229 - 140231 - 140232 - 140233 - 140245 - - class: od levtype: sfc stream: weef type: fcstdev - - 140229 - 140231 - 140232 - 140233 - 140245 - - class: od levtype: sfc stream: weef type: pf - - 140098 - 140099 - 140100 - 140101 - 140102 - 140103 - 140104 - 140105 - 140112 - 140113 - 140114 - 140115 - 140116 - 140117 - 140118 - 140119 - 140120 - 140121 - 140122 - 140123 - 140124 - 140125 - 140126 - 140127 - 140128 - 140129 - 140131 - 140132 - 140133 - 140134 - 140207 - 140208 - 140209 - 140211 - 140212 - 140214 - 140215 - 140216 - 140217 - 140218 - 140219 - 140220 - 140221 - 140222 - 140223 - 140224 - 140225 - 140226 - 140227 - 140228 - 140229 - 140230 - 140231 - 140232 - 140233 - 140234 - 140235 - 140236 - 140237 - 140238 - 140239 - 140244 - 140245 - 140249 - 140251 - 140252 - 140253 - 140254 - - class: od levtype: sfc stream: weeh type: cf - - 140098 - 140099 - 140100 - 140101 - 140102 - 140103 - 140104 - 140105 - 140112 - 140113 - 140114 - 140115 - 140116 - 140117 - 140118 - 140119 - 140120 - 140121 - 140122 - 140123 - 140124 - 140125 - 140126 - 140127 - 140128 - 140129 - 140131 - 140132 - 140133 - 140134 - 140207 - 140208 - 140209 - 140215 - 140216 - 140217 - 140218 - 140219 - 140220 - 140221 - 140222 - 140223 - 140224 - 140225 - 140226 - 140227 - 140228 - 140229 - 140230 - 140231 - 140232 - 140233 - 140234 - 140235 - 140236 - 140237 - 140238 - 140239 - 140244 - 140245 - 140249 - 140251 - 140252 - 140253 - 140254 - - class: od levtype: sfc stream: weeh type: fcmax - - 140229 - 140231 - 140232 - 140233 - 140245 - - class: od levtype: sfc stream: weeh type: fcmean - - 140229 - 140231 - 140232 - 140233 - 140245 - - class: od levtype: sfc stream: weeh type: fcmin - - 140229 - 140231 - 140232 - 140233 - 140245 - - class: od levtype: sfc stream: weeh type: fcstdev - - 140229 - 140231 - 140232 - 140233 - 140245 - - class: od levtype: sfc stream: weeh type: pf - - 140098 - 140099 - 140100 - 140101 - 140102 - 140103 - 140104 - 140105 - 140112 - 140113 - 140114 - 140115 - 140116 - 140117 - 140118 - 140119 - 140120 - 140121 - 140122 - 140123 - 140124 - 140125 - 140126 - 140127 - 140128 - 140129 - 140131 - 140132 - 140133 - 140134 - 140207 - 140208 - 140209 - 140215 - 140216 - 140217 - 140218 - 140219 - 140220 - 140221 - 140222 - 140223 - 140224 - 140225 - 140226 - 140227 - 140228 - 140229 - 140230 - 140231 - 140232 - 140233 - 140234 - 140235 - 140236 - 140237 - 140238 - 140239 - 140244 - 140245 - 140249 - 140251 - 140252 - 140253 - 140254 - - class: od levtype: sfc stream: wehs type: cd - - 140200 metkit-1.22.0/share/metkit/make-params-yaml.py0000664000175000017500000000477315263642712021407 0ustar alastairalastair# (c) Copyright 1996-2012 ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation nor # does it submit to any jurisdiction. # Documentation is available on Confluence # https://confluence.ecmwf.int/display/METK/MetKit+configuration import os import sys from collections import OrderedDict import psycopg2 import yaml DEFAULT_PORT = 5432 def main(): try: HOST = os.environ['PRODUCT_CATALOGUE_HOST'] DB = os.environ['PRODUCT_CATALOGUE_DB'] USER = os.environ['PRODUCT_CATALOGUE_USER'] PASSWORD = os.environ['PRODUCT_CATALOGUE_PASSWORD'] PORT = ( int(os.environ['PRODUCT_CATALOGUE_PORT']) if 'PRODUCT_CATALOGUE_PORT' in os.environ else DEFAULT_PORT ) except KeyError as e: print("ERROR: Environment variable not found: {}".format(e)) sys.exit(1) with psycopg2.connect(host=HOST, dbname=DB, user=USER, password=PASSWORD, port=PORT) as conn: with conn.cursor() as cur: cur.execute( "SELECT DISTINCT class, stream, type, levtype, param::INTEGER FROM fields WHERE param != '' ORDER BY class, stream, type, levtype, param::INTEGER" ) rows = cur.fetchall() index = OrderedDict() for row in rows: cl, stream, type_, levtype, param = row key = (cl, stream, type_, levtype) if key not in index: index[key] = [] index[key].append(param) # Manually add type=tf parameters for PGEN index[("od", "oper", "tf", "")] = [129, 999] index[("od", "scda", "tf", "")] = [129, 999] index[("od", "enfo", "tf", "")] = [129, 999] yaml_dump_data = [] for key, vals in sorted(index.items()): if key[3]: yaml_dump_data.append( [{"class":key[0], "stream":key[1], "type":key[2], "levtype":key[3]}, vals] ) else: yaml_dump_data.append([{"class":key[0], "stream":key[1], "type":key[2]}, vals]) with open("params.yaml", "w") as f: f.write( "# File automatically generated by %s\n# Do not edit\n\n" % (os.path.basename(__file__)) ) f.write(yaml.safe_dump(yaml_dump_data, default_flow_style=False)) if __name__ == "__main__": main() metkit-1.22.0/share/metkit/bufr-subtypes.yaml0000664000175000017500000000343515263642712021367 0ustar alastairalastair--- subtypes: - [1, 1] - [2, 1] - [3, 1] - [4, 1] - [7, 1] - [9, 1] - [11, 1] - [12, 1] - [13, 1] - [14, 1] - [19, 1] - [21, 1] - [22, 1] - [23, 1] - [26, 1] - [28, 1] - [31, 8] - [32, 8] - [49, 2] - [51, 2] - [53, 2] - [54, 2] - [55, 2] - [56, 2] - [57, 2] - [58, 3] - [59, 2] - [60, 2] - [61, 2] - [62, 2] - [63, 2] - [65, 2] - [71, 2] - [72, 2] - [73, 2] - [75, 2] - [82, 3] - [83, 3] - [84, 3] - [85, 3] - [86, 3] - [87, 3] - [88, 3] - [89, 3] - [91, 4] - [92, 4] - [95, 4] - [96, 4] - [97, 4] - [101, 5] - [102, 5] - [103, 5] - [104, 5] - [106, 5] - [109, 5] - [110, 1] - [111, 5] - [112, 5] - [113, 5] - [121, 12] - [122, 12] - [123, 12] - [124, 12] - [125, 6] - [126, 12] - [127, 12] - [129, 2] - [130, 2] - [131, 6] - [132, 6] - [133, 6] - [136, 12] - [137, 12] - [138, 12] - [139, 12] - [140, 1] - [142, 7] - [143, 7] - [144, 7] - [145, 7] - [146, 7] - [147, 1] - [148, 7] - [149, 7] - [150, 7] - [151, 7] - [153, 12] - [154, 2] - [155, 2] - [156, 2] - [159, 9] - [161, 2] - [162, 9] - [164, 10] - [165, 1] - [170, 1] - [172, 1] - [176, 1] - [178, 1] - [180, 1] - [181, 1] - [182, 1] - [184, 1] - [189, 3] - [190, 3] - [191, 3] - [201, 12] - [202, 12] - [203, 30] - [204, 30] - [206, 2] - [207, 2] - [208, 2] - [209, 2] - [210, 12] - [211, 2] - [212, 3] - [213, 12] - [214, 12] - [216, 2] - [217, 12] - [218, 12] - [220, 12] - [224, 12] - [226, 2] - [227, 2] - [228, 3] - [230, 5] - [231, 5] - [233, 12] - [235, 12] - [237, 1] - [240, 2] - [243, 5] - [244, 30] - [245, 12] - [246, 12] - [250, 2] - [251, 2] - [252, 21] - [255, 2] metkit-1.22.0/share/metkit/unit_metadata.yaml0000664000175000017500000001371215263642712021373 0ustar alastairalastair- id: 1 name: m**2 s**-1 - id: 2 name: K - id: 3 name: (0 - 1) - id: 4 name: m - id: 5 name: m s**-1 - id: 6 name: J m**-2 - id: 7 name: '~' - id: 8 name: s**-1 - id: 9 name: kg m**-3 - id: 10 name: m**3 m**-3 - id: 11 name: 10**-6 W m**-2 sr**-1 m**-1 - id: 12 name: s - id: 13 name: mol mol**-1 - id: 14 name: N m**-2 s - id: 15 name: m**2 s**-2 - id: 16 name: Pa - id: 17 name: J kg**-1 - id: 18 name: K m**2 kg**-1 s**-1 - id: 19 name: m**2 m**-2 - id: 20 name: s m**-1 - id: 21 name: kg kg**-1 - id: 22 name: kg m**-2 - id: 23 name: dimensionless - id: 24 name: m**-3 - id: 25 name: Various - id: 26 name: Pa s**-1 - id: 27 name: m of water equivalent - id: 28 name: gpm - id: 29 name: '%' - id: 30 name: radians - id: 31 name: m**2 - id: 32 name: N m**-2 - id: 33 name: kg m**-2 s**-1 - id: 34 name: (-1 to 1) - id: 35 name: Millimetres*100 + number of stations - id: 36 name: kg m**-2 s - id: 37 name: K s**-1 - id: 38 name: m**2 s**-3 - id: 39 name: kg kg**-1 s**-1 - id: 40 name: DU - id: 41 name: degrees - id: 42 name: m**2 s radian**-1 - id: 43 name: deg C - id: 44 name: psu - id: 45 name: kg m**-3 -1000 - id: 46 name: m s**-2 - id: 47 name: m s**-1 deg C - id: 48 name: m s**-1 degC - id: 49 name: m**3 s**-1 - id: 50 name: N m**-3 - id: 51 name: Nm**-3 - id: 52 name: degrees C - id: 53 name: J m**-1 s**-1 - id: 54 name: m s**-1 per time step - id: 55 name: psu per time step - id: 56 name: deg C per time step - id: 57 name: Pa m**-1 - id: 58 name: N m**-2 s**-1 - id: 59 name: K m**2 s**-2 - id: 60 name: m**3 s**-3 - id: 61 name: K m s**-1 - id: 62 name: Pa m**2 s**-3 - id: 63 name: K Pa s**-1 - id: 64 name: Pa m s**-2 - id: 65 name: K kg m**-2 - id: 66 name: kg m**-1 s**-1 - id: 67 name: m**4 s**-4 - id: 68 name: m**2 K s**-2 - id: 69 name: K**2 - id: 70 name: m s**-1 K - id: 71 name: m**2 Pa s**-3 - id: 72 name: Pa s**-1 K - id: 73 name: m Pa s**-2 - id: 74 name: Pa**2 s**-2 - id: 75 name: Pa**2 - id: 76 name: W m**-2 - id: 78 name: m of water equivalent s**-1 - id: 79 name: W m**-2 s**-1 - id: 80 name: kg C m**-2 s**-1 - id: 81 name: (Code table 4.239) - id: 82 name: g kg**-1 m**-2 s**-1 - id: 83 name: g kg**-1 s**-1 - id: 84 name: W**-2 m**4 - id: 85 name: kg s**-1 m**-2 - id: 86 name: m**-1 - id: 87 name: m**3 m**-2 - id: 88 name: J kg**-1 s**-1 - id: 89 name: s**-2 - id: 90 name: kg s**2 m**-5 - id: 92 name: Degree true - id: 93 name: W m**-1 sr**-1 - id: 94 name: W m**-3 sr**-1 - id: 95 name: J - id: 96 name: m**-1 sr**-1 - id: 97 name: m**2/3 s**-1 - id: 98 name: day - id: 100 name: (Code table 4.201) - id: 103 name: (Code table 4.202) - id: 104 name: (Code table 4.222) - id: 105 name: Proportion - id: 106 name: Numeric - id: 107 name: km**-2 day**-1 - id: 110 name: (Code table 4.203) - id: 111 name: (Code table 4.204) - id: 112 name: (Code table 4.234) - id: 113 name: (Code table 4.205) - id: 114 name: Dobson - id: 115 name: dB - id: 116 name: kg m**-1 - id: 117 name: Bq m**-3 - id: 118 name: Bq m**-2 - id: 119 name: Bq s m**-3 - id: 120 name: (Code table 4.206) - id: 121 name: (Code table 4.207) - id: 122 name: (Code table 4.208) - id: 123 name: (Code table 4.209) - id: 124 name: (Code table 4.210) - id: 125 name: (Code table 4.211) - id: 126 name: CCITTIA5 - id: 127 name: (Code table 4.215) - id: 128 name: (Code table 4.216) - id: 129 name: kg**-2 s**-1 - id: 130 name: (Code table 4.212) - id: 131 name: (Code table JMA-252) - id: 133 name: (Code table 4.219) - id: 134 name: Degree - id: 137 name: J m**-2 K**-1 - id: 139 name: kg (m**2 s**-1)**-1 - id: 140 name: kg (kg s**-1)**-1 - id: 142 name: cm per day - id: 143 name: g kg**-1 m - id: 145 name: mm per day - id: 146 name: m s**-1 per day - id: 147 name: g kg**-1 - id: 148 name: deg - id: 154 name: (s m**-1)**-1 - id: 157 name: ln(kPa) - id: 158 name: kg (m**2 s-1)**-1 - id: 159 name: 10**-3 - id: 161 name: (10**-6 g) m**-3 - id: 162 name: log10((10**-6g) m**-3) - id: 163 name: ppb - id: 164 name: mm**6 m**-3 - id: 165 name: categorical - id: 166 name: Integer - id: 167 name: log10(kg m**-3) - id: 168 name: Fraction - id: 169 name: ppm - id: 170 name: Integer(0-13) - id: 171 name: 10**-3 m**-2 - id: 173 name: Index - id: 176 name: degreeperday - id: 177 name: psuperday - id: 178 name: W m**-1 - id: 179 name: W - id: 180 name: kg**2 m**-4 - id: 181 name: s**-1 m**-2 - id: 182 name: Degree N - id: 183 name: Degree E - id: 184 name: m**3 kg**-1 s**-1 - id: 185 name: m**2 kg**-1 s**-1 - id: 186 name: W m sr m**-2 - id: 188 name: 10**5 s**-1 - id: 189 name: K s**-2 - id: 190 name: K m**-1 - id: 191 name: Pa hPa - id: 192 name: Ws m**-2 - id: 193 name: cbar s**-1 - id: 194 name: cm - id: 195 name: dam - id: 196 name: hPa - id: 197 name: image^data - id: 198 name: kg m**-2/day - id: 199 name: ln(cbar) - id: 200 name: m cm - id: 201 name: m s**-12 - id: 202 name: m**2 s**-12 - id: 203 name: mb - id: 204 name: s s**-1 - id: 205 name: s**-12 - id: 206 name: -/+ - id: 207 name: m**3 - id: 208 name: m**3 s**-1 m**-1 - id: 209 name: (Code table 4.217) - id: 210 name: (Code table 4.218) - id: 211 name: (Code table 4.223) - id: 212 name: K per day - id: 213 name: kg kg**-1 per day - id: 214 name: mg kg**-1 - id: 215 name: kg m**-3 s**-1 - id: 216 name: psu*m - id: 217 name: hour - id: 218 name: Number m**-2 - id: 219 name: Person m**-2 - id: 220 name: Bites per day per person - id: 221 name: Byte - id: 222 name: J m**-1 - id: 223 name: W s - id: 224 name: km**-2 - id: 225 name: day**-1 - id: 226 name: '% K' - id: 227 name: '% m**3 m**-3' - id: 228 name: K K - id: 229 name: K m**3 m**-3 - id: 230 name: m**3 m**-3 m**3 m**-3 - id: 231 name: (Code table 4.213) - id: 232 name: (Code table 4.106) - id: 233 name: (Code table 4.253) metkit-1.22.0/share/metkit/language.yaml0000664000175000017500000015440315263642712020342 0ustar alastairalastair--- _field: &_field style: type: enum values: - [dissemination] class: category: data defaults: - vals: [od] flatten: false type: enum values: - [a5, ECMWF Atmospheric Composition reanalysis version 5] - [ai, operational aifs] - [at, austria] - [be, belgium] - [c3, c3s] - [ce, cems] - [ch, switzerland] - [ci, cerise] - [co, cosmo] - [cr, cams research] - [cs, ecsn] - [d1, destine] - [de, germany] - [dk, denmark] - [dm, demeter] - [dt, dts] - [e2, e20c] - [e4, reanalyse40] - [e6, era6] - [ea, era5, esat] - [ed, eerie] - [ef, efas] - [eh, c3s europe] - [ei, era interim] - [el, eldas] - [em, e20cm] - [en, ensembles] - [ep, cera-20c, cera20c] - [er, reanalyse] - [es, spain] - [et, cera-sat, cerasat] - [fi, finland] - [fr, france] - [gf, glofas] - [gg, greenhouse gases] - [gh, c3s global] - [gr, greece] - [gw, global wildfire information system] - [hr, croatia] - [hu, hungary] - [ie, ireland] - [is, iceland] - [it, italy] - [j5, jra55] - [l5, era5l] - [l6, era6l] - [la, aladin-laef, laef, lace] - [lr, WMO Lead Centre for Global Climate Re-Analyses] - [lw, WMO lead centre wave forecast verification] - [ma, metaps] - [mc, macc] - [me, mersea] - [ml, machine learning] - [ms, member states] - [ng, nextgems] - [nl, netherlands] - ['no', norway] - [nr, ncep 20cr, 20cr] - [o6, 'ocean 6 reanalysis'] - [od, operations] - [pe, permanent experiment] - [pt, portugal] - [pv, provost] - [rd, research] - [rm, euro4m] - [rr, regional reanalysis] - [s2, s2s] - [se, sweden] - [si, slovenia] - [sr, sreps] - [te, test] - [ti, tigge] - [to, tost] - [tr, turkey] - [uk, united kingdom] - [ul, ulysses] - [ur, uerra] - [we, Wildfire emissions] - [yp, yopp] - [yt, yotc] type: category: data defaults: - vals: [an] flatten: false type: enum values: - [3g, 3d variational gradients] - [3v, 3d variational analysis] - [4g, 4d variational gradients] - [4i, 4d variational increments] - [4v, 4d variational analysis] - [ab, analysis bias] - [af, analysis feedback] - [ai, analysis input] - [an, analysis] - [as, adjoint singular vector] - [bf, bias-corrected forecast] - [cd, climate distribution] - [cf, control forecast] - [ci, clustering information] - [cl, climatology] - [cm, cluster means] - [cpf, crossing-point forecast] - [cr, cluster representative] - [cs, cluster std deviations] - [cv, calibration validation forecast] - [ea, errors in analysis] - [ed, empirical distribution] - [ef, errors in first guess] - [efi, extreme forecast index] - [efic, extreme forecast index control] - [em, ensemble mean] - [emdn, ensemble median] - [eme, ensemble data assimilation model errors] - [emtm, ensemble mean of temporal mean] - [ep, event probability] - [es, ensemble standard deviation] - [est, ensemble statistics] - [estdtm, ensemble standard deviation of temporal mean] - [fa, forecast accumulation] - [fb, feedback] - [fc, forecast] - [fcdfb, forecast departures feedback] - [fcmax, forecast maximum] - [fcmean, forecast mean] - [fcmin, forecast minimum] - [fcstdev, forecast standard deviation] - [ff, flux forcing realtime] - [fg, first guess] - [fp, forecast probability] - [fsoifb, forecast sensitivity to observations impact feedback] - [fu, fill-up] - [fx, flux forcing] - [ga, gfas analysis] - [gbf, bias-corrected gridbox] - [gai, gridded analysis input] - [go, gridded observations] - [gsd, gridded satellite data] - [gwt, weather type gridbox] - [hcmean, hindcast mean] - [ia, init. analysis] - [icp, initial condition perturbation] - [mpp, model physics perturbation] - [if, interim forecast] - [im, images] - [me, model errors] - [mfb, mondb feedback] - [oai, odb analysis input] - [ob, observations] - [of, ocean forward] - [ofa, odb feedback from analysis] - [ofb, odb feedback] - [oi, oi analysis] - [oldim, old format images] - [or, ocean reanalysis] - [pa, perturbed analysis] - [pb, probability boundary] - [pd, probability distribution] - [pf, perturbed forecast] - [pfc, point values] - [ppm, point value metrics] - [s3, climate 30 days simulation] - [ses, scaled ensemble standard deviation] - [sf, sensitivity forecast] - [sfb, summary feedback] - [sfo, simulations with forcing] - [sg, sensitivity gradient] - [si, climate simulation] - [sim, simulated images] - [sot, shift of tails] - [ssd, simulated satellite data] - [sv, singular vector] - [svar, signal variance] - [taem, time average ensemble mean] - [taes, time average ensemble standard deviation] - [tpa, time processed analysis] - [tf, trajectory forecast] - [tu, tube] - [wem, weighted ensemble mean] - [wes, weighted ensemble standard deviation] - [wp, weather parameters] stream: category: data flatten: false type: enum values: - [amap, analysis for multianalysis project] - [ammc, melbourne] - [cher, ch, chernobyl] - [clte, climate, Climate run output] - [clmn, climate-monthly, Climate run monthly means output] - [cnrm, meteo france climate centre] - [cwao, montreal] - [dacl, daily climatology] - [dacw, daily climatology wave] - [dahc, daily archive hindcast] - [dame] - [dcda, atmospheric model (delayed cutoff)] - [dcwv, wave model (delayed cutoff)] - [edmm, ensemble data assimilation monthly means] - [edmo, ensemble data assimilation monthly means of daily means] - [edzw, offenbach] - [eefh, extended ensemble forecast hindcast] - [eefo, extended ensemble prediction system] - [eehs, extended ensemble forecast hindcast statistics] - [efas, european flood awareness system (efas)] - [efcl, european flood awareness system (efas) climatology] - [efhc, ensemble forecast hindcasts (obsolete)] - [efho, ensemble forecast hindcast overlap] - [efhs, ensemble forecast hindcast statistics] - [efov, ensemble forecast overlap] - [efrf, european flood awareness system (efas) reforecasts] - [efse, european flood awareness system (efas) seasonal forecasts] - [efsr, european flood awareness system (efas) seasonal reforecasts] - [egrr, exeter, bracknell] - [ehmm, combined multi-model hindcast monthly means] - [elda, ensemble long window data assimilation] - [enda, ensemble data assimilation] - [enfh, ensemble forecast hindcasts] - [enfo, ef, ensemble prediction system] - [enwh, ensemble forecast wave hindcasts] - [esmm, combined multi-model monthly means] - [espd, ensemble supplementary data] - [ewda, ensemble wave data assimilation] - [ewhc, wave ensemble forecast hindcast (obsolete)] - [ewho, ensemble forecast wave hindcast overlap] - [ewla, ensemble wave long window data assimilation] - [ewmm, ensemble wave data assimilation monthly means] - [ewmo, ensemble wave data assimilation monthly means of daily means] - [fgge, fg] - [frcd, Forcing data] - [fsob, forecast sensitivity to observations] - [fsow, forecast sensitivity to observations wave] - [gfas, global fire assimilation system] - [gfra, global fire assimilation system reanalysis] - [kwbc, washington] - [ldas, land data-assimilation system (near real time)] - [ldbt, land data-assimilation system behind real time] - [ldsb, land data-assimilation system statistics behind real time] - [ldst, land data-assimilation system statistics (near real time)] - [lfpw, paris, toulouse] - [lwda, long window daily archive] - [lwwv, long window wave] - [ma, means archive] - [maed, multianalysis ensemble data] - [mawm, wave anomaly means] - [mawv, multianalysis wave data] - [mdfa, monthly means of daily forecast accumulations] - [mfam, anomaly means] - [mfaw, wave anomalies] - [mfhm, hindcast means] - [mfhw, monthly forecast hindcasts wave] - [mfwm, wave real-time means] - [mhwm, wave hindcast means] - [mmaf, multi-model multi-annual forecast] - [mmam, multi-model multi-annual forecast means] - [mmaw, multi-model multi-annual forecast wave] - [mmsa, multi-model seasonal forecast monthly anomalies] - [mmsf, multi-model seasonal forecast] - [mmwm, multi-model multi-annual forecast wave means] - [mnfa, anomalies] - [mnfc, real-time] - [mnfh, hindcasts] - [mnfm, real-time means] - [mnfw, wave real-time] - [mnth, mo, monthly, monthly means] - [mnvr, monthly variance and covariance data using g. boer's step function] - [moda, monthly means of daily means] - [mofc, monthly forecast] - [mofm, monthly forecast means] - [monr, monthly means using g. boer's step function] - [mpic, max plank institute] - [msda, monthly standard deviation and covariance of daily means] - [msdc, mv, monthly standard deviation and covariance] - [msmm, multi-model seasonal forecast atmospheric monthly means] - [mswm, multi-model seasonal forecast wave monthly means] - [ocda, ocean data assimilation] - [ocea, ocean] - [olda, ocean Long window data assimilation] - [oper, da, daily archive, atmospheric model] - [rjtd, tokyo] - [rfsd, retrospective forcing and simulation data] - [scda, atmospheric model (short cutoff)] - [scwv, wave model (short cutoff)] - [seap, sensitive area prediction] - [seas, seasonal forecast] - [sens, sf, sensitivity forecast] - [sfdd, seasonal forecast daily and sub-daily data] - [sfdp, seasonal forecast derived products] - [sfmd, seasonal forecast monthly data] - [sfmm, seasonal forecast atmospheric monthly means] - [shdd, seasonal hindcast daily and sub-daily data] - [shdp, seasonal hindcast derived products] - [shmd, seasonal hindcast monthly data] - [smma, seasonal monthly means anomalies] - [sttd, Statistics of deterministic data] - [stte, Statistics of ensemble data] - [supd, sd, deterministic supplementary data] - [swmm, seasonal forecast wave monthly means] - [toga, tg] - [ukmo, ukmo climate centre] - [waef, we, wave ensemble forecast] - [wamd, wave monthly means of daily means] - [wamf, wave monthly forecast] - [wamo, wave monthly means] - [wams, multi-model seasonal forecast wave] - [wasf, wave seasonal forecast] - [wave, wv, wave model] - [wavm, wave model (standalone)] - [weef, wave extended ensemble forecast] - [weeh, wave extended ensemble forecast hindcast] - [wees, wave extended ensemble forecast hindcast statistics] - [wehs, wave ensemble forecast hindcast statistics] - [weov, wave ensemble forecast overlap] - [wfas, global flood awareness system (glofas)] - [wfcl, global flood awareness system (glofas) climatology] - [wfrf, global flood awareness system (glofas) reforecasts] - [wfse, global flood awareness system (glofas) seasonal forecasts] - [wfsr, global flood awareness system (glofas) seasonal reforecasts] - [wmfm, wave monthly forecast means] - [wvhc, wave hindcast] - [xwda, extended window data assimilation] product: category: data type: enum values: - [inst, instantaneous] - [tims, time-series] - [tavg, time-average] - [tacc, time-accumulation] section: category: data type: enum values: - [h, horizontal] - [v, vertical] - [z, zonal] - [m, meridional] range: category: data type: any use: flatten: false multiple: true type: enum values: - [frequent, f] - [infrequent, i] - [normal, n] - compare - [monthly run] - intent - disk # - [bc, boundary conditions] # - [monday, mon] # - [tuesday, tue] # - [wednesday, wed] # - [thursday, thu] # - [friday, fri] # - [saturday, sat] # - [sunday, sun] # product: # %if LEVTYPE = DP # %and TYPE = OR # %and (%not PRODUCT) # %then # %warning "Default PRODUCT for Ocean ReAnalysis set to Instantaneous" # %set PRODUCT = INST expver: category: data flatten: false type: expver defaults: - vals: ['0001'] dataset: category: data multiple: false type: - context: class: [d1] type: enum values: - [climate-dt, Climate change adaptation digital twin] - [extremes-dt, Weather and geophysical extremes digital twin] - [on-demand-climate-dt, On-demand climate change adaptation digital twin] - [on-demand-extremes-dt, On-demand weather and geophysical extremes digital twin] - type: lowercase model: category: data type: - context: class: [ms] country: [it] type: enum values: - [lm] - [hrm] - [wam] - context: class: [ti, lw, s2] type: enum values: - [lam] - [global, glob] - type: enum values: - [ecmf] - [edzw] - [egrr] - [lfpw] - [kwbc] - [none] - [hrm] - [ifs, IFS with no ocean model] - [ifs-nemo, IFS with NEMO ocean model] - [ifs-fesom, IFS with FESOM ocean model] - [icon, ICON-A with ICON-O ocean model] - [lisflood] - [lm] - [lam] - [aifs] - [aifs-single] - [aifs-single-mse] - [aifs-ens] - [aifs-ens-crps] - [aifs-ens-diff] - [aifs-subs] - [aifs-subs-crps] - [aifs-compo-single] - [aifs-compo-ens] - [aifs-compo-single-mse] - [aifs-compo-ens-crps] - [alaro] - [arome] - [harmonie-arome] - [global, glob] - [ecpoint] - [ecland] - [htessel-lisflood] - [hype] - [jules] - [mhm] - [pcr-globwb] - [vic-wur] - [geff] - [sparky] forcing: category: data multiple: true type: enum values: - [ecmf-ifs] - [ecmf-aifs] - [ecmf-era5] - [ecmf-seas] - [edzw-icon] - [cosmo-cosmo] - [cmcc-sps] - [obs] configuration: category: data multiple: true type: enum values: - [v1.0] - [v1.0-catchment] - [v1.0-grid] - [v1.0-c3s] - [v2.0] - [v2.1] - [v3.0] - [v3.1] - [v3.5] - [v4.0] - [v5.0] - [v6.0] - [49r2-sfdd] - [50r1-oper] - [50r1-enfo] - [50r1-sfdd] - [50r2-oper] - [50r2-enfo] - [50r2-sfdd] georef: category: data type: lowercase repres: flatten: false multiple: false type: enum values: - [bu, 'bufr'] - [sh, 'spherical harmonics'] - [ll, 'lat long grid'] - [gg, 'gaussian grid'] - [sv, 'space view'] - [og, 'ocean grid'] - [np] - [rl] coeffindex: category: data multiple: true type: to-by-list by: 1 unset: - context: type: op: '!' vals: [me, eme] obscutoff: category: data multiple: true type: time obsgroup: category: data multiple: true type: enum values: # - [conventional] - [sat, satellite] - [ers1] - [trmm] - [qscat] - [reo3] # reo3 needs to stay for compatibility # previously in "obsgroups.def" - [hirs, 1] - [amsua, 2] - [amsub, 3] - [mhs, 4] - [geos, 5] - [resat, 6] - [meris, 7] - [gpsro, 8] - [satob, 9] - [scatt, 10] - [ssmi_as, 11, SSMI ALL-SKY] - [iasi, 12] - [airs, 13] - [ssmis_as, 14, SSMIS ALL-SKY] - [tmi_as, 15, TMI ALL-SKY] - [amsre_as, 16, AMSRE ALL-SKY] - [conv, 17] - [smos, 19] - [windsat_as, 20, WINDSAT ALL-SKY] - [ssmi, 21] - [amsua_as, 22, AMSUA ALL-SKY] - [amsre, 23] - [tmi, 24] - [ssmis, 25] - [gbrad, 26] - [mwhs, 27] - [mwts, 28] - [mwri_as, 29, MWRI ALL-SKY] - [iras, 30] - [msu, 31] - [ssu, 32] - [vtpr1, 33] - [vtpr2, 34] - [atms, 35] - [resat_ak, 36, RESAT AVERAGING KERNELS] - [cris, 37] - [wave_ip, 38, WAVE INTEGRATED PARAMETERS] - [wave_sp, 39, WAVE SPECTRA] - [raingg, 40] - [sfc_ms, 41, SURFACE MULTISENSOR] - [amsr2_as, 42, AMSR-2 ALL-SKY] - [saphir_as, 43, SAPHIR ALL-SKY] - [amsub_as, 44, AMSUB ALL-SKY] - [mhs_as, 45, MHS ALL-SKY] - [dwl, 46, DOPPLER WIND LIDAR] - [iris, 47] - [alt, 48, Altimeter] - [aatsr, 49] - [atms_as, 50, ATMS ALL-SKY] - [gmi_as, 51, GMI ALL-SKY] - [godae_sst, 52, GODAE SEA SURFACE TEMPERATURES] - [atovs_ms, 53, ATOVS MULTISENSOR] - [atmospheric_composition, 54, ATMOSPHERIC COMPOSITION] - [non_sfc_ms, 55, NON-SURFACE MULTISENSOR] - [mwts2, 56] - [ssmi_1d, 57, SSMI 1DVAR TCWV CLOUDY-SKY] - [mwhs2_as, 58, MWHS2 ALL-SKY] - [ssmt2, 59] - [smap, 60] - [tovs_ms, 61, TOVS MULTISENSOR] - [cloud_r, 62, CLOUD REFLECTIVITY] - [cloud_l, 63, CLOUD LIDAR] - [satellite_lightning, 64, SATELLITE LIGHTNING] - [geos_vis, 65, GEOS VIS] - [oconv, 66] - [mwts3_as, 67, MWTS3 All-sky] - [giirs, 68] - [hiras, 69] - [tropics_as, 70, TROPICS All-sky] - [ssmt1, 71] - [ssmt1_as, 72, SSMT1 All-sky] - [mws_as, 73, MWS All-sky] - [mwiici_as, 74, MWIICI All-sky] - [aws_as, 75, AWS All-sky] - [leos_vis, 76, LEOS VIS] - [ssh, 77] - [sirs, 78] - [scr, 79] - [scams_as, 80, SCAMS All-sky] - [nems_as, 81, NEMS All-sky] - [amsr3_as, 82, AMSR-3 All-sky] - [irs, 83] - [iasi_ng, 84, IASI-NG] - [smap_as, 85, SMAP All-sky] - [ssmt2_as, 86, SSMT2 All-sky] - [test, 99] reportype: category: data type: any multiple: true # rdbprefix levtype: category: data aliases: [levtyp] defaults: - context: stream: ['!', dacw, dcwv, ewda, ewhc, ewla, ewmm, ewmo, lwwv, mawm, mawv, mfaw, mfhw, mfwm, mhwm, mnfw, mswm, scwv, swmm, waef, wamd, wamf, wamo, wams, wasf, wave, weef, weeh, wees, wehs, weov, wmfm, wvhc] vals: [pl] - context: stream: [dacw, dcwv, ewda, ewhc, ewla, ewmm, ewmo, lwwv, mawm, mawv, mfaw, mfhw, mfwm, mhwm, mnfw, mswm, scwv, swmm, waef, wamd, wamf, wamo, wams, wasf, wave, weef, weeh, wees, wehs, weov, wmfm, wvhc] vals: [sfc] flatten: false type: [enum, integer] values: - [cat, category] - [dp, depth] - [layer] - [al, abstract levels] - [ml, model levels] - [pl, pressure levels] - [fl, flight levels] - [hl, height levels] - [pt, potential temperature] - [pv, potential vorticity] - [sfc, surf, surface] # sl ?? - [sol, surface other (multi)levels] - [wv, ocean wave] - [o2d, ocean surface] - [o3d, ocean model levels] levelist: category: data aliases: [leve,level,levellist] multiple: true type: to-by-list-float by: 1 units: category: postproc type: enum values: - [si] - [av] param: category: data aliases: [parameter,parameters] multiple: true type: param defaults: - vals: [129] chem: category: data multiple: true type: enum values: "chemids.yaml" wavelength: category: data multiple: true type: range default: none timespan: category: data type: enum values: - [fs, from-start, fromstart] - [10m] - [15m] - [20m] - [30m] - [1h] - [3h] - [6h] - [12h] - [18h] - [24h] - [48h] - [72h] - [120h] - [168h] - [240h] - [360h] - [none, inst, instantaneous] default: none multiple: true paramtype: category: derived type: enum values: - [chemical] - [chemical_optical] - [base] - [wave] - [wave_spectra] - [optical] - [tile] stattype: category: data type: enum values: - [moav, monthly average] - [momn, monthly minimum] - [momx, monthly maximum] - [mosd, monthly standard-deviation] - [daac, daily accumulation] - [daav, daily average] - [damn, daily minimum] - [damx, daily maximum] - [dasd, daily standard-deviation] - [moav_daav, monthly average of daily average] - [moav_damn, monthly average of daily minimum] - [moav_damx, monthly average of daily maximum] - [moav_dasd, monthly average of daily standard-deviation] - [momn_daav, monthly minimum of daily average] - [momn_damn, monthly minimum of daily minimum] - [momn_damx, monthly minimum of daily maximum] - [momn_dasd, monthly minimum of daily standard-deviation] - [momx_daav, monthly maximum of daily average] - [momx_damn, monthly maximum of daily minimum] - [momx_damx, monthly maximum of daily maximum] - [momx_dasd, monthly maximum of daily standard-deviation] - [mosd_daav, monthly standard-deviation of daily average] - [mosd_damn, monthly standard-deviation of daily minimum] - [mosd_damx, monthly standard-deviation of daily maximum] - [mosd_dasd, monthly standard-deviation of daily standard-deviation] multiple: false tile: category: data type: enum values: # 1-1000 Reserved for intercomparison tile classes/groupings - [seoc, 1, 'Seas and oceans'] - [inwb, 2, 'Inland water bodies'] - [bare, 3, 'Bare areas'] - [hiv, 4, 'High vegetation'] - [lov, 5, 'Low vegetation'] - [urban, 6] # 1001-1500 Reserved for tile class entries for tile models using the ECOCLIMAP-SG land cover survey - [seao, 1001, 'Sea and oceans'] - [lake, 1002, 'Lakes'] - [rive, 1003, 'Rivers'] - [no, 1004, 'Bare land'] - [rock, 1005, 'Bare rock'] - [snow, 1006, 'Permanent snow'] - [bobd, 1007, 'Boreal broadleaf deciduous'] - [tebd, 1008, 'Temperate broadleaf deciduous'] - [trbd, 1009, 'Tropical broadleaf deciduous'] - [tebe, 1010, 'Temperate broadleaf evergreen'] - [trbe, 1011, 'Tropical broadleaf evergreen'] - [bone, 1012, 'Boreal needleleaf evergreen'] - [tene, 1013, 'Temperate needleleaf evergreen'] - [bond, 1014, 'Boreal needleleaf deciduous'] - [shrb, 1015, 'Shrubs'] - [bogr, 1016, 'Boreal grassland'] - [gras, 1017, 'Temperate grassland'] - [trog, 1018, 'Tropical grassland'] - [c3w, 1019, 'Winter C3 crops'] - [c3s, 1020, 'Summer C3 crops'] - [c4, 1021, 'C4 crops'] - [fltr, 1022, 'Flooded trees'] - [flgr, 1023, 'Flooded grassland'] - [lcz1, 1024, 'Local climate zone 1 - compact high-rise (buildings)'] - [lcz2, 1025, 'Local climate zone 2 - compact midrise (buildings)'] - [lcz3, 1026, 'Local climate zone 3 - compact low-rise (buildings)'] - [lcz4, 1027, 'Local climate zone 4 - open high-rise (buildings)'] - [lcz5, 1028, 'Local climate zone 5 - open midrise (buildings)'] - [lcz6, 1029, 'Local climate zone 6 - open low-rise (buildings)'] - [lcz7, 1030, 'Local climate zone 7 - lightweight low-rise (buildings)'] - [lcz8, 1031, 'Local climate zone 8 - large low-rise (buildings)'] - [lcz9, 1032, 'Local climate zone 9 - sparsely built (buildings)'] - [lcz10, 1033, 'Local climate zone 10 - heavy industry (buildings)'] - [tebdu, 1034, 'Urban temperate broadleaf deciduous'] - [trbdu, 1035, 'Urban tropical broadleaf deciduous'] - [tebeu, 1036, 'Urban temperate broadleaf evergreen'] - [trbeu, 1037, 'Urban tropical broadleaf evergreen'] - [boneu, 1038, 'Urban boreal needleleaf evergreen'] - [teneu, 1039, 'Urban temperate needleleaf evergreen'] - [bondu, 1040, 'Urban boreal needleleaf deciduous'] # 1501-2000 Reserved for tile grouping entries for tile models using the ECOCLIMAP-SG land cover survey - [gnatu, 1501, 'Nature grouping (NO + ROCK + SNOW + BOBD + TEBD + TRBD + TEBE + TRBE + BONE + TENE + BOND + SHRB + BOGR + GRAS + TROG + C3W + C3S + C4 + FLTR + FLGR)'] - [gnofo, 1502, 'Non-forest grouping (NO + ROCK + SNOW + BOGR + GRAS + TROG + C3W + C3S + C4 + FLTR + FLGR)'] - [gfore, 1503, 'Forest grouping (BOBD + TEBD + TRBD + TEBE + TRBE + BONE + TENE + BOND + SHRB)'] - [gnove, 1504, 'Non-vegetated grouping (NO + ROCK + SNOW)'] - [gtree, 1505, 'Trees grouping (BOBD + TEBD + TRBD + TEBE + TRBE + BONE + TENE + BOND + SHRB + FLTR)'] - [glveg, 1506, 'Low vegetation grouping (BOGR + GRAS + TROG + C3W + C3S + C4 + FLGR)'] - [gnflv, 1507, 'Non-flooded low vegetation grouping (BOGR + GRAS + TROG + C3W + C3S + C4)'] - [gcrop, 1508, 'Crops grouping (C3W + C3S + C4)'] - [ggras, 1509, 'Grassland grouping (BOGR + GRAS + TROG)'] - [gbaro, 1510, 'Bare and rock grouping (NO + ROCK)'] - [gc3cr, 1511, 'C3 crops grouping (C3W + C3S)'] - [gbfor, 1512, 'Broadleaf forest grouping (BOBD + TEBD + TRBD + TEBE + TRBE + SHRB)'] - [gnfor, 1513, 'Needleleaf forest grouping (BONE + TENE + BOND)'] - [gdbfo, 1514, 'Deciduous broadleaf forest grouping (BOBD + TEBD + TRBD + TEBE + SHRB)'] - [gtgra, 1515, 'Temperate grassland grouping (BOGR + GRAS)'] - [gnfnf, 1516, 'Non-forest (no FLTR) grouping (NO + ROCK + SNOW + BOGR + GRAS + TROG + C3W + C3S + C4 + FLGR)'] - [gbfft, 1517, 'Broadleaf forest (with FLTR) grouping (BOBD + TEBD + TRBD + TEBE + TRBE + SHRB + FLTR)'] - [gbtre, 1518, 'Broadleaf trees grouping (BOBD + TEBD + TRBD + TEBE + TRBE + FLTR)'] - [gcgra, 1519, 'C3/C4 grasslands grouping (BOGR + GRAS + FLGR)'] - [gbdtr, 1520, 'Broadleaf deciduous trees grouping (BOBD + TEBD + TRBD + FLTR)'] - [gbetr, 1521, 'Broadleaf evergreen trees grouping (TEBE + TRBE)'] - [gnetr, 1522, 'Needleleaf evergreen trees grouping (BONE + TENE)'] - [glczu, 1523, 'LCZ or urban grouping (LCZ1 + LCZ2 + LCZ3 + LCZ4 + LCZ5 + LCZ6 + LCZ7 + LCZ8 + LCZ9 + LCZ10)'] - [giwat, 1524, 'Inland water grouping (LAKE + RIVE)'] - [gptebd, 1525, 'Urban parks and gardens TEBD grouping (NO + GRAS + TEBDU)'] - [gptrbd, 1526, 'Urban parks and gardens TRBD grouping (NO + GRAS + TRBDU)'] - [gptebe, 1527, 'Urban parks and gardens TEBE grouping (NO + GRAS + TEBEU)'] - [gptrbe, 1528, 'Urban parks and gardens TRBE grouping (NO + GRAS + TRBEU)'] - [gpbone, 1529, 'Urban parks and gardens BONE grouping (NO + GRAS + BONEU)'] - [gptene, 1530, 'Urban parks and gardens TENE grouping (NO + GRAS + TENEU)'] - [gpbond, 1531, 'Urban parks and gardens BOND grouping (NO + GRAS + BONDU)'] # 2001-2500 Reserved for tile class entries for tile models using the GLCC v2.0 BATS Classification survey - [crmf, 2001, 'Crops, mixed farming'] - [shgr, 2002, 'Short grass'] - [evne, 2003, 'Evergreen needleleaf trees'] - [dene, 2004, 'Deciduous needleleaf trees'] - [debr, 2005, 'Deciduous broadleaf trees'] - [evbr, 2006, 'Evergreen broadleaf trees'] - [tagr, 2007, 'Tall grass'] - [dese, 2008, 'Desert'] - [tund, 2009, 'Tundra'] - [ircr, 2010, 'Irrigated crops'] - [sede, 2011, 'Semidesert'] - [icgl, 2012, 'Ice caps and glaciers'] - [boma, 2013, 'Bogs and marshes'] - [inwa, 2014, 'Inland water'] - [ocea, 2015, 'Ocean'] - [evsh, 2016, 'Evergreen shrubs'] - [desh, 2017, 'Deciduous shrubs'] - [mfwo, 2018, 'Mixed forest/woodland'] - [info, 2019, 'Interrupted forest'] - [wlmi, 2020, 'Water and land mixtures'] - [baso, 2021, 'Bare soil'] - [urba, 2022, 'Urban (GLCC BATS)'] - [lori, 2023, 'Low-rise building'] - [hiri, 2024, 'High-rise building'] # 2501-3000 Reserved for tile grouping entries for tile models using the GLCC v2.0 BATS Classification survey - [glve, 2501, 'Low vegetation grouping (CRMF + SHGR + TAGR + TUND + IRCR + SEDE + BOMA + EVSH + DESH + WLMI)'] - [ghve, 2502, 'High vegetation grouping (EVNE + DENE + DEBR + EVBR + MFWO + INFO)'] # 3001-3500 Reserved for tile class entries for tile models using the ESA-GlobCover GCV2009 survey - [pfic, 3001, 'Post-flooding or irrigated croplands'] - [racr, 3002, 'Rainfed croplands'] - [mcve, 3003, 'Mosaic cropland (50%-70%)/vegetation (grassland, shrubland, forest) (20-50%)'] - [mvcr, 3004, 'Mosaic vegetation (grassland, shrubland, forest) (50%-70%)/cropland (20%-50%)'] - [cobs, 3005, 'Closed to open (>15%) broadleaved evergreen and/or semi-deciduous forest (>5m)'] - [clbd, 3006, 'Closed (>40%) broadleaved deciduous forest (>5m)'] - [opbd, 3007, 'Open (15-40%) broadleaved deciduous forest (>5m)'] - [clne, 3008, 'Closed (>40%) needleleaved evergreen forest (>5m)'] - [onde, 3009, 'Open (15-40%) needleleaved deciduous or evergreen forest (>5m)'] - [cobn, 3010, 'Closed to open (>15%) mixed broadleaved and needleleaved forest (>5m)'] - [mfsg, 3011, 'Mosaic forest/shrubland (50%-70%)/grassland (20%-50%)'] - [mgfs, 3012, 'Mosaic grassland (50%-70%)/forest/shrubland (20%-50%)'] - [cosh, 3013, 'Closed to open (>15%) shrubland (<5m)'] - [cohv, 3014, 'Closed to open (>15%) herbaceous vegetation'] - [spve, 3015, 'Sparse (<15%) vegetation (woody vegetation, shrubs, grassland)'] - [cobff, 3016, 'Closed to open (>15%) broadleaved forest regularly flooded (semi-permanently or temporarily) - fresh or brackish water'] - [clbff, 3017, 'Closed (>40%) broadleaved forest or shrubland permanently flooded - saline or brackish water'] - [covef, 3018, 'Closed to open (>15%) vegetation (grassland, shrubland, woody vegetation) on regularly flooded or waterlogged soil - fresh, brackish or saline water'] - [asaa, 3019, 'Artificial surfaces and associated areas (urban areas >50%)'] - [baar, 3020, 'Bare areas (GCV2009)'] - [wabo, 3021, 'Water bodies'] - [pesi, 3022, 'Permanent snow and ice'] # 3501-4000 Reserved for tile grouping entries for tile models using the ESA-GlobCover GCV2009 survey - [grdt, 3501, 'Grouping using the dominant tiles approach (dominant tile varies per gridbox)'] # 4001-4500 Reserved for tile class entries for tile models using the European Commission-Global Land Cover Project GLC2000 survey - [tbeco, 4001, 'Tree cover, broadleaved evergreen, closed to open (>15%)'] - [tbdc, 4002, 'Tree cover, broadleaved deciduous, closed (>40%)'] - [tbdo, 4003, 'Tree cover, broadleaved deciduous, open (15-40%)'] - [tneco, 4004, 'Tree cover, needleleaved evergreen, closed to open (>15%)'] - [tndco, 4005, 'Tree cover, needleleaved deciduous, closed to open (>15%)'] - [tmlco, 4006, 'Tree cover, mixed leaftype, closed to open (>15%)'] - [tcoff, 4007, 'Tree cover, closed to open (>15%), regularly flooded, fresh or brackish water - swamp forests'] - [tcofs, 4008, 'Tree cover, closed to open (>15%), regularly flooded, saline water - mangrove forests'] - [mtvg, 4009, 'Mosaic of tree cover and other natural vegetation (crop component possible)'] - [tburn, 4010, 'Tree cover, burnt (mainly boreal forests)'] - [scoe, 4011, 'Shrubcover, closed to open (>15%), evergreen (broadleaved or needleleaved)'] - [scod, 4012, 'Shrubcover, closed to open (>15%), deciduous (broadleaved)'] - [hcco, 4013, 'Herbaceous cover, closed to open (>15%)'] - [shsc, 4014, 'Sparse herbaceous or sparse shrub cover'] - [fshco, 4015, 'Regularly flooded (>2 month) shrub or herbaceous cover, closed to open'] - [crop, 4016, 'Cropland (upland crops or inundated/ flooded crops)'] - [mctnv, 4017, 'Mosaic of cropland / tree cover/ other natural vegetation'] - [mcsh, 4018, 'Mosaic of cropland / shrub or herbaceous cover'] - [baare, 4019, 'Bare areas (GLC2000)'] - [wbna, 4020, 'Water bodies (natural or artificial)'] - [sina, 4021, 'Snow or ice (natural or artificial)'] - [urar, 4022, 'Urban areas'] # 4501-5000 Reserved for tile grouping entries for tile models using the European Commission-Global Land Cover Project GLC2000 survey default: none multiple: true tileattribute: category: data type: enum values: - [undef, 0, Undefined] - [unmod, 1, Unmodified] - [snow, 2, Snow covered] - [flood, 3, Flooded] - [ice, 4, Ice covered] - [itcw, 5, With intercepted water] - [itcs, 6, With intercepted snow] - [agg, 7, Aggregated] - [snow_flood, Snow covered and flooded] - [snow_ice, Snow covered and ice covered] - [snow_itcw, Snow covered and with intercepted water] - [snow_itcs, Snow covered and with intercepted snow] - [flood_ice, Flooded and ice covered] - [flood_itcw, Flooded and with intercepted water] - [flood_itcs, Flooded and with intercepted snow] - [ice_itcw, Ice covered and with intercepted water] - [ice_itcs, Ice covered and with intercepted snow] - [itcw_itcs, With intercepted water and with intercepted snow] - [snow_flood_ice, Snow covered and flooded and ice covered] - [snow_flood_itcw, Snow covered and flooded and with intercepted water] - [snow_flood_itcs, Snow covered and flooded and with intercepted snow] - [snow_ice_itcw, Snow covered and ice covered and with intercepted water] - [snow_ice_itcs, Snow covered and ice covered and with intercepted snow] - [snow_itcw_itcs, Snow covered and with intercepted water and with intercepted snow] - [flood_ice_itcw, Flooded and ice covered and with intercepted water] - [flood_ice_itcs, Flooded and ice covered and with intercepted snow] - [flood_itcw_itcs, Flooded and with intercepted water and with intercepted snow] - [ice_itcw_itcs, Ice covered and with intercepted water and with intercepted snow] - [snow_flood_ice_itcw, Snow covered and flooded and ice covered and with intercepted water] - [snow_flood_ice_itcs, Snow covered and flooded and ice covered and with intercepted snow] - [snow_flood_itcw_itcs, Snow covered and flooded and with intercepted water and with intercepted snow] - [snow_ice_itcw_itcs, Snow covered and ice covered and with intercepted water and with intercepted snow] - [flood_ice_itcw_itcs, Flooded and ice covered and with intercepted water and with intercepted snow] - [snow_flood_ice_itcw_itcs, Snow covered and flooded and ice covered and with intercepted water and with intercepted snow] default: none multiple: true tilescheme: category: data type: - context: class: [d1] dataset: [on-demand-extremes-dt] type: enum values: - [unknown, 0] - [simple, 1, Simple tile scheme configuration with most-grouped tiles] - [granular, 2, Granular tile scheme configuration with most-separated tile groupings] default: none multiple: true ################################################################# # year # decade # month date: category: data multiple: true type: date by: 1 defaults: - vals: [-1] year: category: data type: to-by-list multiple: true by: 1 month: category: data flatten: true type: enum multiple: true values: - [1, jan, january] - [2, feb, february] - [3, mar, march] - [4, apr, april] - [5, may] - [6, jun, june] - [7, jul, july] - [8, aug, august] - [9, sep, september] - [10, oct, october] - [11, nov, november] - [12, dec, december] day: category: postproc multiple: true type: to-by-list by: 1 range: [1, 31] hdate: category: data multiple: true type: date offsetdate: category: data multiple: true type: date fcmonth: category: data multiple: true by: 1 type: to-by-list fcperiod: category: data multiple: true type: any time: category: data multiple: true type: time by: 6h defaults: - vals: ['1200'] offsettime: category: data multiple: true type: time leadtime: category: data multiple: true type: any opttime: category: data multiple: true type: any step: category: data multiple: true by: 12 type: range defaults: - vals: [0] anoffset: category: data multiple: true type: integer reference: category: data multiple: true type: integer ################################################################# # cluster # probability number: category: data multiple: true type: to-by-list by: 1 quantile: category: data multiple: true type: to-by-list-quantile denominators: [2,3,4,5,10,100,1000] by: 1 domain: category: data type: - context: class: [ms] country: [it] type: enum values: - [italy] - [euroatl] - [europe] - [mediterranean] - type: enum flatten: false type: enum values: - [a, north west europe] - [b, north east europe, baltic and black sea] - [c, south west europe] - [d, south east europe] - [e, europe] - [f, fastex] - [g, globe, general european area] - [h] - [i] - [j] - [k] - [l] - [m, mediterranean] - ['n', northern hemisphere] - [o] - [p] - [q] - [r] - [s, southern hemisphere] - [t, tropics] - [u, tropics 2] - [v] - [w, western atlantic] - [x] - ['y'] - [z] bcmodel: category: data type: - context: class: [ms] country: [it] type: enum values: - [gme] - [ifs] icmodel: category: data type: - context: class: [ms] country: [it] type: enum values: - [gme] - [ifs] - [mvoi] - [nudging] - [3dvar] country: category: data multiple: false type: - context: class: [ms] type: enum values: - [it] - [de] grib: category: data multiple: false type: - context: class: [ms] country: [it] type: enum values: - [original] - [ecmwf] frequency: category: data multiple: true by: 1 type: to-by-list direction: category: data multiple: true by: 1 type: to-by-list diagnostic: category: data type: integer multiple: true iteration: category: data type: integer multiple: true channel: category: data type: integer multiple: true # TODO : Migration from old images to new images ident: category: data type: integer multiple: true instrument: category: data type: integer multiple: true # TODO : Migration from old images to new images method: category: data type: integer origin: category: data multiple: true type: enum values: - [aladinhuneps-omsz-eu] - [aladinlaef-zamg-eu] - [ammc, 1, melbourne] - [anso] - [aromeeps-mf-eu] - [babj, 38, beijing] - [cmcc] - [cnmc, 80] - [consensus, 255] - [cosmo] - [cosmodeeps-dwd-eu] - [cosmoleps-arpasimc-eu] - [crfc, 239, cerfacs] - [cwao, 54, montreal] - [dems] - [ecmf, 98, ecmwf] - [ecmf_ea, ecmwf_ea] - [ecmf_od, ecmwf_od] - [edzw, dwd, 78, offenbach] - [egrr, 74, exeter, bracknell] - [ekmi] - [enmi, 88, oslo] - [eswi] - [fapr] - [fnmo, fnmoc, 58, fleet numerical] - [fr-ms-ec] - [glameps-hirlamcons-eu] - [hadc, 247, hadley centre] - [hirlam-dmi-eu] - [ifmk, 246] - [ingv, 235] - [isac] - [knmi, 245] - [kwbc, 7, washington] - [lemm, 214, madrid] - [lfpw, 84, 85, paris, toulouse] - [lops] - [mogreps-mo-eua] - [nasa] - [niwa] - [no-ar-ce] - [no-ar-cw] - [no-ar-pa] - [nzkl] - [pearp-mf-eu] - [rjtd, 34, tokyo] - [rksl, 40, seoul] - [rums] - [sabm] - [sbsj, 46, cptec] - [se-al-ec] - [sreps-aemet-eua] - [srnwppeps-dwd-eua] - [vabb] - [vuwien, 244, university of vienna] system: category: data type: integer ####################################################################### # DestinE ClimateDT related keywords activity: category: data type: enum values: - [cmip6, Coupled Model Intercomparison Project Phase 6] - [scenariomip, Scenario Model Intercomparison Project] - [highresmip, High Resolution Model Intercomparison Project] - [story-nudging, Climate storylines by nudging to reanalysis] - [baseline, Baseline simulations for climate model evaluation] - [projections, Future climate projections] experiment: category: data type: enum values: - [hist, Historical] - [cont, Control] - [amip, Atmospheric Model Intercomparison Project] - [ssp1-1.9, Shared Socio-economic Pathways 1-1.9] - [ssp1-2.6, Shared Socio-economic Pathways 1-2.6] - [ssp2-4.5, Shared Socio-economic Pathways 2-4.5] - [ssp3-7.0, Shared Socio-economic Pathways 3-7.0] - [ssp5-8.5, Shared Socio-economic Pathways 5-8.5] - [tplus1.5k, Warmer world at 1.5 degrees K above pre-industrial temperatures] - [tplus2.0k, Warmer world at 2.0 degrees K above pre-industrial temperatures] - [tplus3.0k, Warmer world at 3.0 degrees K above pre-industrial temperatures] - [tplus4.0k, Warmer world at 4.0 degrees K above pre-industrial temperatures] - [abrupt4xco2, CO2 abruptly quadrupled and then held constant] generation: category: data type: integer realization: category: data multiple: true type: to-by-list by: 1 resolution: category: data type: enum values: - [standard, Standard resolution model output with longer availability] - [high, High resolution model output with limited availability] # - product # - section # - refdate # - latitude # - longitude # - range ####################################################################### _observation: &_observation obstype: category: data multiple: true defaults: - context: _verb: [retrieve] type: [ob] vals: [1] type: enum values: "obstype.yaml" # TODO : Migration from old images to new images range: category: data type: any latitude: category: data type: any longitude: category: data type: any # type: [im] # obstype: [=0 %and (ident=52 %or ident=53 %or ident=54)) %then # %warning "replacing obstype=0 by channel=2, instrument=205" # %unset obstype # %set channel = 2 # %set instrument = 205 # %if (type=im %and obstype=10 %and (ident=52 %or ident=53 %or ident=54)) %then # %warning "replacing obstype=10 by channel=3, instrument=205" # %unset obstype # %set channel = 3 # %set instrument = 205 # %if (type=im %and obstype=20 %and (ident=52 %or ident=53 %or ident=54)) %then # %warning "replacing obstype=10 by channel=1, instrument=205" # %unset obstype # %set channel = 1 # %set instrument = 205 # # goes # %if (type=im %and obstype=0 %and (ident=252 %or ident=253 %or ident=254 %or ident=255 %or ident=256)) %then # %warning "replacing obstype=0 by channel=4, instrument=615" # %unset obstype # %set channel = 4 # %set instrument = 615 # %if (type=im %and obstype=10 %and (ident=252 %or ident=253 %or ident=254 %or ident=255 %or ident=256)) %then # %warning "replacing obstype=10 by channel=1, instrument=615" # %unset obstype # %set channel = 1 # %set instrument = 615 # %if (type=im %and obstype=20 %and (ident=252 %or ident=253 %or ident=254 %or ident=255 %or ident=256)) %then # %warning "replacing obstype=20 by channel=3, instrument=615" # %unset obstype ####################################################################### _postproc: &_postproc accuracy: category: postproc flatten: false type: [enum, integer] values: - [av, archived value] - ['n', normal, auto] - [r, reduced] - [l, low] bitmap: category: postproc flatten: false type: any format: category: postproc flatten: false type: enum values: - [grib1, grib, gb, grib edition 1] - [grib2, grib edition 2] - [bufr, bf] - [grid, gd] - [netcdf] - [odb] - [ascii] - [p, packed] - [u, unpacked] frame: category: postproc type: integer gaussian: category: postproc type: enum values: - reduced - regular area: category: postproc flatten: false multiple: true type: [float, enum] values: - [g, global] - [e, europe] grid: category: postproc flatten: false multiple: true type: [enum, regex, float] values: - auto - [av, archived value] - [F16, 16] - [F24, 24] - [F32, 32] - [F48, 48] - [F64, 64] - [F80, 80] - [F96, 96] - [F128, 128] - [F160, 160] - [F192, 192] - [F200, 200] - [F256, 256] - [F320, 320] - [F400, 400] - [F512, 512] - [F576, 576] - [F640, 640] - [F800, 800] - [F912, 912] - [F1024, 1024] - [F1280, 1280] - [F1600, 1600] - [F2000, 2000] - [F2560, 2560] - [F4000, 4000] - [F8000, 8000] regex: - '^[oOfFtT][1-9][0-9]*$' - '^[nN](32|48|64|80|96|128|160|200|256|320|400|512|640|800|1024|1280|8000)$' - '^[hH][rRnN]?(1|2|4|8|16|32|64|128|256|512|1024|2048|4096|8192)$' uppercase: true interpolation: category: postproc flatten: false type: enum values: - [linear] - [bilinear] - [nearest-lsm, nlsm, nearest_lsm, nearest lsm] - [nearest-neighbour, nn, nearest_neighbour, nearest neighbour] - [grid-box-average, average] packing: category: postproc flatten: false type: enum values: - [so, second-order, second_order,second order] - [av] - [complex, co] - [simple, si] - [ccsds] resol: category: postproc flatten: false type: [enum, integer] values: - [av, archived value] - [auto, automatic resolution] - [N128, reduced gaussian 128] - [N200, reduced gaussian 200] rotation: category: postproc flatten: false multiple: true type: float intgrid: category: postproc flatten: false type: [enum, regex] values: - auto - none - source - N32 - N48 - N64 - N80 - N96 - N128 - N160 - N192 - N200 - N256 - N320 - N400 - N512 - N640 - N800 - N912 - N1024 - N1280 regex: - '^[oOfFhH][1-9][0-9]+$' truncation: category: postproc flatten: false type: [enum, integer] values: - auto - none process: category: postproc flatten: false type: enum values: - local - server ####################################################################### _obspproc: &_obspproc filter: type: any category: postproc ident: type: any category: postproc ####################################################################### disseminate: <<: *_field <<: *_postproc _aliases: [filter] requirements: type: any resol: category: postproc type: any # repres: # category: postproc # type: any use: category: sink flatten: false multiple: true type: enum values: # - [frequent, f] # - [infrequent, i] # - [normal, n] # - compare # - [monthly run] # - intent # - disk - [bc, boundary conditions] - [monday, mon] - [tuesday, tue] - [wednesday, wed] - [thursday, thu] - [friday, fri] - [saturday, sat] - [sunday, sun] option: category: sink default: normal flatten: false multiple: true type: enum values: - normal - delay - asap - gts - opendata compatibility: category: postproc flatten: false multiple: true type: enum values: - 'no-local-extension' - 'adjust-spectral-packing' priority: category: sink flatten: false type: integer target: category: sink flatten: false type: any filename: category: sink flatten: false type: any ############################################################## archive: <<: *_field <<: *_observation resol: category: postproc type: any # repres: # category: postproc # type: any database: flatten: false multiple: true type: any # TODO set source: category: sink flatten: false multiple: true type: any sourcebase: category: sink flatten: false multiple: true type: any expect: category: sink flatten: false multiple: false type: [enum, integer] values: - any disp: category: sink flatten: false multiple: false type: enum values: - [n, new] - [old] - [remove] - [fail] _clear_defaults: [step] ############################################################## retrieve: _aliases: [r, ret, retr] <<: *_field <<: *_observation <<: *_postproc <<: *_obspproc target: category: sink flatten: false multiple: true type: any source: category: sink flatten: false multiple: true type: any expect: category: sink flatten: false multiple: false type: [enum, integer] values: - any fieldset: category: sink aliases: [field] flatten: false multiple: false type: any database: category: sink flatten: false multiple: true aliases: [dbase] type: any optimise: category: sink type: enum values: - 'on' - 'off' defaults: - vals: ["off"] duplicates: category: sink defaults: - context: _verb: [retrieve] type: [ob] vals: [keep] type: enum values: - keep - remove padding: category: sink flatten: false type: enum defaults: - context: _verb: [retrieve] class: [ti] vals: [0] values: - [0, none, n] - [auto, automatic] ############################################################## read: source: category: sink flatten: false multiple: true type: any <<: *_field <<: *_observation <<: *_postproc <<: *_obspproc target: category: sink flatten: false multiple: true type: any fieldset: category: sink aliases: [field] flatten: false multiple: false type: any _clear_defaults: [class, date, domain, expver, levelist, levtype, param, step, stream, time, type] _options: param: first_rule: true ############################################################## flush: <<: *_field <<: *_observation <<: *_postproc <<: *_obspproc wait: flatten: false multiple: false type: enum values: - ['true', 'yes', 'y', 'on', '1'] - ['false', 'no', 'n', 'off', '0'] decache: flatten: false multiple: false type: enum values: - ['true', 'yes', 'y', 'on', '1'] - ['false', 'no', 'n', 'off', '0'] _clear_defaults: [class, date, domain, expver, levelist, levtype, param, step, stream, time, type] ############################################################## get: tape: category: sink flatten: false multiple: false type: any database: category: sink flatten: false multiple: true type: any target: category: sink flatten: false multiple: true type: any ############################################################## list: <<: *_field <<: *_observation database: category: sink flatten: false multiple: true type: any target: category: sink flatten: false multiple: true type: any pseudodate: flatten: false multiple: false type: enum values: - [latest] - [earliest] output: category: sink flatten: false multiple: false defaults: - vals: [table] type: enum values: - [table] - [browse] - [cost] - [search] - [tree] - [json] _clear_defaults: [date, domain, expver, levelist, levtype, param, step, stream, time, type] _multiple: [class, expver, stream, type] ############################################################## compute: formula: flatten: false multiple: false type: any fieldset: category: sink aliases: [field] flatten: false multiple: false type: any ############################################################## write: fieldset: category: sink aliases: [field] flatten: false multiple: false type: any target: category: sink flatten: false multiple: true type: any ############################################################## pointdb: lat: multiple: false type: float lon: multiple: false type: float <<: *_field _clear_defaults: [class, date, domain, expver, levelist, levtype, param, step, stream, time, type] _options: param: first_rule: true end: {} metkit-1.22.0/share/metkit/odb/0000775000175000017500000000000015263642712016430 5ustar alastairalastairmetkit-1.22.0/share/metkit/odb/CMakeLists.txt0000664000175000017500000000071315263642712021171 0ustar alastairalastairlist( APPEND files_odb marsrequest.yaml class.table type.table stream.table group.txt ) foreach( _file ${files_odb} ) configure_file( ${_file} ${CMAKE_BINARY_DIR}/share/metkit/odb/${_file} COPYONLY ) if( HAVE_METKIT_CONFIG ) install( FILES ${CMAKE_BINARY_DIR}/share/metkit/odb/${_file} DESTINATION "share/metkit/odb" PERMISSIONS OWNER_WRITE OWNER_READ GROUP_READ WORLD_READ ) endif() endforeach() metkit-1.22.0/share/metkit/odb/type.table0000664000175000017500000000035415263642712020424 0ustar alastairalastair262 mfb MonDB feedback 263 ofb ODB feedback 264 oai ODB analysis input 265 sfb Summary Feedback 266 fsoifb Forecast Sensitivity to Observations Impact Feedback 267 fcdfb Forecast Departures Feedback 268 ofa ODB Feedback from Analysis metkit-1.22.0/share/metkit/odb/stream.table0000664000175000017500000001275015263642712020741 0ustar alastairalastair0 0 Unknown 1022 fsob Forecast sensitivity to observations 1023 fsow Forecast sensitivity to observations wave 1024 dahc Daily archive hindcast 1025 oper Atmospheric model 1026 scda Atmospheric model (short cutoff) 1027 scwv Wave model (short cutoff) 1028 dcda Atmospheric model (delayed cutoff) 1029 dcwv Wave model (delayed cutoff) 1030 enda Ensemble data assimilation 1032 efho Ensemble forecast hindcast overlap 1033 enfh Ensemble forecast hindcasts 1034 efov Ensemble forecast overlap 1035 enfo Ensemble prediction system 1036 sens Sensitivity forecast 1037 maed Multianalysis ensemble data 1038 amap Analysis for multianalysis project 1039 efhc Ensemble forecast hindcasts (obsolete) 1040 efhs Ensemble forecast hindcast statistics 1041 toga TOGA 1042 cher Chernobyl 1043 mnth Monthly means 1044 supd Deterministic supplementary data 1045 wave Wave model 1046 ocea Ocean 1047 fgge FGGE 1050 egrr Bracknell 1051 kwbc Washington 1052 edzw Offenbach 1053 lfpw Toulouse 1054 rjtd Tokyo 1055 cwao Montreal 1056 ammc Melbourne 1057 efas European flood awareness system (EFAS) 1058 efse European flood awareness system (EFAS) seasonal forecasts 1059 efcl European flood awareness system (EFAS) climatology 1060 wfas Global flood awareness system (GLOFAS) 1061 wfcl Global flood awareness system (GLOFAS) climatology 1062 wfse Global flood awareness system (GLOFAS) seasonal forecasts 1063 efrf European flood awareness system (EFAS) reforecasts 1064 efsr European flood awareness system (EFAS) seasonal reforecasts 1065 wfrf Global flood awareness system (GLOFAS) reforecasts 1066 wfsr Global flood awareness system (GLOFAS) seasonal reforecasts 1070 msdc Monthly standard deviation and covariance 1071 moda Monthly means of daily means 1072 monr Monthly means using G. Boer's step function 1073 mnvr Monthly variance and covariance data using G. Boer's step function 1074 msda Monthly standard deviation and covariance of daily means 1075 mdfa Monthly means of daily forecast accumulations 1076 dacl Daily climatology 1077 wehs Wave ensemble forecast hindcast statistics 1078 ewho Ensemble forecast wave hindcast overlap 1079 enwh Ensemble forecast wave hindcasts 1080 wamo Wave monthly means 1081 waef Wave ensemble forecast 1082 wasf Wave seasonal forecast 1083 mawv Multianalysis wave data 1084 ewhc Wave ensemble forecast hindcast (obsolete) 1085 wvhc Wave hindcast 1086 weov Wave ensemble forecast overlap 1087 wavm Wave model (standalone) 1088 ewda Ensemble wave data assimilation 1089 dacw Daily climatology wave 1090 seas Seasonal forecast 1091 sfmm Seasonal forecast atmospheric monthly means 1092 swmm Seasonal forecast wave monthly means 1093 mofc Monthly forecast 1094 mofm Monthly forecast means 1095 wamf Wave monthly forecast 1096 wmfm Wave monthly forecast means 1097 smma Seasonal monthly means anomalies 1098 clte Climate run output 1099 clmn Climate run monthly means output 1100 dame Daily means 1110 seap Sensitive area prediction 1120 eefh Extended ensemble forecast hindcast 1121 eehs Extended ensemble forecast hindcast statistics 1122 eefo Extended ensemble prediction system 1123 weef Wave extended ensemble forecast 1124 weeh Wave extended ensemble forecast hindcast 1125 wees Wave extended ensemble forecast hindcast statistics 1200 mnfc Real-time 1201 mnfh Hindcasts 1202 mnfa Anomalies 1203 mnfw Wave real-time 1204 mfhw Monthly forecast hindcasts wave 1205 mfaw Wave anomalies 1206 mnfm Real-time means 1207 mfhm Hindcast means 1208 mfam Anomaly means 1209 mfwm Wave real-time means 1210 mhwm Wave hindcast means 1211 mawm Wave anomaly means 1220 mmsf Multi-model seasonal forecast 1221 msmm Multi-model seasonal forecast atmospheric monthly means 1222 wams Multi-model seasonal forecast wave 1223 mswm Multi-model seasonal forecast wave monthly means 1224 mmsa Multi-model seasonal forecast monthly anomalies 1230 mmaf Multi-model multi-annual forecast 1231 mmam Multi-model multi-annual forecast means 1232 mmaw Multi-model multi-annual forecast wave 1233 mmwm Multi-model multi-annual forecast wave means 1240 esmm Combined multi-model monthly means 1241 ehmm Combined multi-model hindcast monthly means 1242 edmm Ensemble data assimilation monthly means 1243 edmo Ensemble data assimilation monthly means of daily means 1244 ewmo Ensemble wave data assimilation monthly means of daily means 1245 ewmm Ensemble wave data assimilation monthly means 1246 espd Ensemble supplementary data 1247 lwda Long window daily archive 1248 lwwv Long window wave 1249 elda Ensemble Long window Data Assimilation 1250 ewla Ensemble Wave Long window data Assimilation 1251 wamd Wave monthly means of daily means 1252 gfas Global fire assimilation system 1253 ocda Ocean data assimilation 1254 olda Ocean Long window data assimilation 1255 gfra Global Fire assimilation system reanalysis 1256 rfsd Retrospective forcing and simulation data 1257 sttd Statistics of deterministic data 1258 stte Statistics of ensemble data 1259 xwda eXtended Window Data Assimilation 1260 sfdd Seasonal forecast daily and sub-daily data 1261 sfmd Seasonal forecast monthly data 1262 shdd Seasonal hindcast daily and sub-daily data 1263 shmd Seasonal hindcast monthly data 1264 sfdp Seasonal forecast derived products 1265 shdp Seasonal hindcast derived products 1266 ldas Land data-assimilation system (near real time) 1267 ldbt Land data-assimilation system behind real time 1268 ldst Land data-assimilation system statistics (near real time) 1269 ldsb Land data-assimilation system statistics behind real time 2231 cnrm Meteo France climate centre 2232 mpic Max Plank Institute 2233 ukmo UKMO climate centre metkit-1.22.0/share/metkit/odb/group.txt0000664000175000017500000001137415263642712020333 0ustar alastairalastair id↑ ; name ; kind_id ; marsname ; description ; 1 ; HIRS ; 2 ; HIRS ; ; 2 ; AMSUA ; 2 ; AMSUA ; ; 3 ; AMSUB ; 2 ; AMSUB ; ; 4 ; MHS ; 2 ; MHS ; ; 5 ; GEOS ; 2 ; GEOS ; ; 6 ; RESAT ; 2 ; RESAT ; ; 7 ; MERIS ; 2 ; MERIS ; ; 8 ; GPSRO ; 2 ; GPSRO ; ; 9 ; SATOB ; 3 ; SATOB ; ; 10 ; SCATT ; 2 ; SCATT ; ; 11 ; SSMI All-sky ; 2 ; SSMI_AS ; ; 12 ; IASI ; 2 ; IASI ; ; 13 ; AIRS ; 2 ; AIRS ; ; 14 ; SSMIS All-sky ; 2 ; SSMIS_AS ; ; 15 ; TMI All-sky ; 2 ; TMI_AS ; ; 16 ; AMSRE All-sky ; 2 ; AMSRE_AS ; ; 17 ; CONV ; 1 ; CONV ; ; 18 ; STORM ; 1 ; STORM ; STORM ; 19 ; SMOS ; 2 ; SMOS ; ; 20 ; WINDSAT All-sky ; 2 ; WINDSAT_AS ; ; 21 ; SSMI ; 2 ; SSMI ; ; 22 ; AMSUA All-sky ; 2 ; AMSUA_AS ; ; 23 ; AMSRE ; 2 ; AMSRE ; ; 24 ; TMI ; 2 ; TMI ; ; 25 ; SSMIS ; 2 ; SSMIS ; ; 26 ; GBRAD ; 1 ; GBRAD ; ; 27 ; MWHS ; 2 ; MWHS ; ; 28 ; MWTS ; 2 ; MWTS ; ; 29 ; MWRI All-sky ; 2 ; MWRI_AS ; ; 30 ; IRAS ; 2 ; IRAS ; ; 31 ; MSU ; 2 ; MSU ; ; 32 ; SSU ; 2 ; SSU ; ; 33 ; VTPR1 ; 2 ; VTPR1 ; ; 34 ; VTPR2 ; 2 ; VTPR2 ; ; 35 ; ATMS ; 2 ; ATMS ; ; 36 ; RESAT Averaging Kernels ; 2 ; RESAT_AK ; ; 37 ; CRIS ; 2 ; CRIS ; Cross-track Infrared Sounder ; 38 ; WAVE integrated Parameters ; 3 ; WAVE_IP ; WAVE integrated Parameters ; 39 ; WAVE spectra ; 3 ; WAVE_SP ; WAVE spectra ; 40 ; RAINGG ; 5 ; RAINGG ; Rain Gauge ; 41 ; SURFACE MULTISENSOR ; 1 ; SFC_MS ; SURFACE MULTISENSOR ; 42 ; AMSR-2 All-sky ; 2 ; AMSR2_AS ; AMSR-2 All-sky ; 43 ; SAPHIR All-sky ; 2 ; SAPHIR_AS ; SAPHIR All-sky ; 44 ; AMSUB All-sky ; 2 ; AMSUB_AS ; AMSUB All-sky ; 45 ; MHS All-sky ; 2 ; MHS_AS ; MHS All-sky ; 46 ; Doppler Wind Lidar ; 2 ; DWL ; Doppler Wind Lidar ; 47 ; IRIS ; 2 ; IRIS ; Infrared Interferometer Spectrometer ; 48 ; Altimeter ; 3 ; ALT ; Altimeter ; 49 ; AATSR ; 2 ; AATSR ; Advanced Along Track Scanning Radiometer ; 50 ; ATMS All-sky ; 2 ; ATMS_AS ; ATMS All-sky ; 51 ; GMI All-sky ; 2 ; GMI_AS ; GMI All-sky ; 52 ; GODAE Sea Surface Temperatures ; 4 ; GODAE_SST ; GODAE Sea Surface Temperatures ; 53 ; ATOVS MULTISENSOR ; 4 ; ATOVS_MS ; ATOVS MULTISENSOR ; 54 ; Atmospheric composition ; 1 ; ATMOSPHERIC_COMPOSITION ; Atmospheric composition ; 55 ; NON-SURFACE MULTISENSOR ; 4 ; NON_SFC_MS ; NON-SURFACE MULTISENSOR ; 56 ; MWTS2 ; 2 ; MWTS2 ; Microwave Temperature Sounder 2 ; 57 ; SSMI 1DVAR TCWV Cloudy-Sky ; 2 ; SSMI_1D ; SSMI 1DVAR TCWV Cloudy-Sky ; 58 ; MWHS2 All-sky ; 2 ; MWHS2_AS ; Microwave Humidity Sounder 2 ; 59 ; SSMT2 ; 2 ; SSMT2 ; SSMT2 ; 60 ; SMAP ; 2 ; SMAP ; Soil Moisture Active and Passive ; 61 ; TOVS MULTISENSOR ; 4 ; TOVS_MS ; TOVS MULTISENSOR ; 62 ; Cloud reflectivity ; 2 ; CLOUD_R ; Cloud reflectivity ; 63 ; Cloud Lidar ; 2 ; CLOUD_L ; Cloud Lidar ; 64 ; Satellite Lightning ; 2 ; SATELLITE_LIGHTNING ; Satellite Lightning ; 65 ; GEOS VIS ; 2 ; GEOS_VIS ; GEOS visible reflectances ; 66 ; OCONV ; 1 ; OCONV ; Ocean conventional in situ ; 67 ; MWTS3 All-sky ; 2 ; MWTS3_AS ; MWTS3 All-sky ; 68 ; GIIRS ; 2 ; GIIRS ; GIIRS ; 69 ; HIRAS ; 2 ; HIRAS ; HIRAS ; 70 ; TROPICS All-sky ; 2 ; TROPICS_AS ; TROPICS All-sky ; 71 ; SSMT1 ; 2 ; SSMT1 ; SSMT1 ; 72 ; SSMT1 All-sky ; 2 ; SSMT1_AS ; SSMT1 All-sky ; 73 ; MWS All-sky ; 2 ; MWS_AS ; MWS All-sky ; 74 ; MWIICI All-sky ; 2 ; MWIICI_AS ; MWIICI All-sky ; 75 ; AWS All-sky ; 2 ; AWS_AS ; AWS All-sky ; 76 ; LEOS VIS ; 2 ; LEOS_VIS ; LEOS visible reflectances ; 77 ; SSH ; 2 ; SSH ; SSH ; 78 ; SIRS ; 2 ; SIRS ; SIRS ; 79 ; SCR ; 2 ; SCR ; SCR (Selective Chopper Radiometer) ; 80 ; SCAMS All-sky ; 2 ; SCAMS_AS ; SCAMS All-sky ; 81 ; NEMS All-sky ; 2 ; NEMS_AS ; NEMS All-sky ; 82 ; AMSR-3 All-sky ; 2 ; AMSR3_AS ; AMSR-3 All-sky ; 83 ; IRS ; 2 ; IRS ; IRS ; 84 ; IASI-NG ; 2 ; IASING ; IASI-NG ; 85 ; SMAP All-sky ; 2 ; SMAP_AS ; SMAP All-sky ; 86 ; SSMT2 All-sky ; 2 ; SSMT2_AS ; SSMT2 All-sky ; 87 ; SMMR All-sky ; 2 ; SMMR_AS ; SMMR All-sky ; 88 ; GEOS All-sky ; 2 ; GEOS_AS ; GEOS All-sky ; 89 ; WSFM All-sky ; 2 ; WSFM_AS ; WSFM All-sky ; 90 ; PMR ; 2 ; PMR ; PMR ; 99 ; TEST ; 4 ; TEST ; ; metkit-1.22.0/share/metkit/odb/marsrequest.yaml0000664000175000017500000000017715263642712021674 0ustar alastairalastair--- CLASS: class DATE: andate TIME: antime TYPE: type OBSGROUP: groupid@hdr REPORTYPE: reportype STREAM: stream EXPVER: expver metkit-1.22.0/share/metkit/odb/class.table0000664000175000017500000000413015263642712020544 0ustar alastairalastair0 0 Unknown 1 od Operational archive 2 rd Research department 3 er 15 years reanalysis (ERA15) 4 cs ECSN 5 e4 40 years reanalysis (ERA40) 6 dm DEMETER 7 pv PROVOST 8 el ELDAS 9 to TOST 10 co COSMO-LEPS 11 en ENSEMBLES 12 ti TIGGE 13 me MERSEA 14 ei ERA Interim 15 sr Short-Range Ensemble Prediction System 16 dt Data Targeting System 17 la ALADIN-LAEF 18 yt YOTC 19 mc Copernicus Atmosphere Monitoring Service (CAMS, previously MACC) 20 pe Permanent experiments 21 em ERA-CLIM model integration for the 20th-century (ERA-20CM) 22 e2 ERA-CLIM reanalysis of the 20th-century using surface observations only (ERA-20C) 23 ea ERA5 24 ep ERA-CLIM2 coupled reanalysis of the 20th-century (CERA-20C) 25 rm EURO4M 26 nr NOAA/CIRES 20th Century Reanalysis version II 27 s2 Sub-seasonal to seasonal prediction project (S2S) 28 j5 Japanese 55 year Reanalysis (JRA55) 29 ur UERRA 30 et ERA-CLIM2 coupled reanalysis of the satellite era (CERA-SAT) 31 c3 Copernicus Climate Change Service (C3S) 32 yp YOPP 33 l5 ERA5/LAND 34 lw WMO Lead Centre Wave Forecast Verification 35 ce Copernicus Emergency Management Service (CEMS) 36 cr Copernicus Atmosphere Monitoring Service (CAMS) Research 37 rr Copernicus Regional ReAnalysis (CARRA/CERRA) 38 ul Project ULYSSES 39 gw Global Wildfire Information System 40 e6 ERA6 41 l6 ERA6/LAND 42 ef EFAS (European flood awareness system) 43 gf GLOFAS (Global flood awareness system) 44 gg Greenhouse Gases 45 ml Machine learning 46 d1 Destination Earth 47 o6 Ocean ReAnalysis 6 48 eh C3S European hydrology 49 gh C3S Global hydrology 50 ci CERISE project 51 ai Operational AIFS 52 ed EERIE project 53 ng nextGEMS project 54 lr WMO Lead Centre for Global Climate Re-Analyses 55 a5 ECMWF Atmospheric Composition reanalysis version 5 (EAC5) 99 te Test 100 at Austria 101 be Belgium 102 hr Croatia 103 dk Denmark 104 fi Finland 105 fr France 106 de Germany 107 gr Greece 108 hu Hungary 109 is Iceland 110 ie Ireland 111 it Italy 112 nl Netherlands 113 no Norway 114 pt Portugal 115 si Slovenia 116 es Spain 117 se Sweden 118 ch Switzerland 119 tr Turkey 120 uk United Kingdom 121 ms Member States projects 199 ma Metaps metkit-1.22.0/share/metkit/parameter_metadata.yaml0000664000175000017500001060631715263642712022406 0ustar alastairalastair- id: 1 shortname: strf longname: Stream function units: m**2 s**-1 description: The horizontal wind field can be separated into divergent flow (i.e., flow that is purely divergent, with no swirl or rotation) and rotational flow (i.e., flow that is purely rotational and has no divergence).

The rotational (non-divergent) flow follows lines of constant stream function value (streamlines) and the speed of flow is proportional to the stream function gradient.

So streamlines show patterns of horizontal, rotational, air flow and the paths that particles would follow if the flow did not change with time. access_ids: - dissemination origin_ids: - 0 - 34 - 98 table: 128 mars_request_context: - &id001 class: od stream: eefh type: cf levtype: pl - &id002 class: od stream: eefh type: fcmean levtype: pl - &id003 class: od stream: eefh type: pf levtype: pl - &id004 class: od stream: eefo type: cf levtype: pl - &id005 class: od stream: eefo type: fcmean levtype: pl - &id006 class: od stream: eefo type: pf levtype: pl - &id007 class: od stream: eefo type: taem levtype: pl - &id008 class: od stream: eefo type: taes levtype: pl - &id009 class: od stream: eehs type: taem levtype: pl - &id010 class: od stream: eehs type: taes levtype: pl - &id011 class: od stream: efhs type: taem levtype: pl - &id012 class: od stream: efhs type: taes levtype: pl - &id013 class: od stream: elda type: fc levtype: pl - &id014 class: od stream: enfh type: cf levtype: pl - &id015 class: od stream: enfh type: fcmean levtype: pl - &id016 class: od stream: enfh type: pf levtype: pl - &id017 class: od stream: enfo type: pf levtype: pl - &id018 class: od stream: lwda type: fc levtype: pl - &id019 class: od stream: oper type: fc levtype: pl - id: 2 shortname: vp longname: Velocity potential units: m**2 s**-1 description: The horizontal wind field can be separated into divergent flow (i.e., flow that is purely divergent, with no swirl or rotation) and rotational flow (i.e., flow that is purely rotational and has no divergence).

This parameter is the scalar quantity whose gradient is the velocity vector of the irrotational flow. It can be used to show areas where the air is diverging (spreading out) or converging, which, depending on the vertical level, relate to ascending or descending air. access_ids: - dissemination origin_ids: - 0 - 34 - 98 table: 128 mars_request_context: - *id001 - *id002 - *id003 - *id004 - *id005 - *id006 - *id007 - *id008 - *id009 - *id010 - *id011 - *id012 - *id013 - *id014 - *id015 - *id016 - *id017 - *id018 - *id019 - id: 3 shortname: pt longname: Potential temperature units: K description: '' access_ids: - dissemination origin_ids: - 0 - 34 - 98 table: 128 mars_request_context: - &id069 class: od stream: eefh type: cf levtype: pv - class: od stream: eefh type: fcmean levtype: pv - &id070 class: od stream: eefh type: pf levtype: pv - &id071 class: od stream: eefo type: cf levtype: pv - class: od stream: eefo type: fcmean levtype: pv - &id072 class: od stream: eefo type: pf levtype: pv - &id074 class: od stream: elda type: 4v levtype: pv - &id076 class: od stream: elda type: an levtype: pv - &id077 class: od stream: elda type: fc levtype: pv - &id078 class: od stream: enfh type: cf levtype: pv - &id079 class: od stream: enfh type: fcmean levtype: pv - &id080 class: od stream: enfh type: pf levtype: pv - &id081 class: od stream: enfo type: pf levtype: pv - &id083 class: od stream: lwda type: 4v levtype: pv - &id085 class: od stream: lwda type: an levtype: pv - &id086 class: od stream: lwda type: fc levtype: pv - class: od stream: mmsf type: fc levtype: pv - class: od stream: msmm type: em levtype: pv - class: od stream: msmm type: fcmean levtype: pv - class: od stream: msmm type: hcmean levtype: pv - &id088 class: od stream: oper type: 4v levtype: pv - &id090 class: od stream: oper type: an levtype: pv - &id091 class: od stream: oper type: fc levtype: pv - id: 4 shortname: eqpt longname: Equivalent potential temperature units: K description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 5 shortname: sept longname: Saturated equivalent potential temperature units: K description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 6 shortname: ssfr longname: Soil sand fraction units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 7 shortname: scfr longname: Soil clay fraction units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 8 shortname: sro longname: Surface runoff units: m description: "Some water from rainfall, melting snow, or deep in the soil, stays\ \ stored in the soil. Otherwise, the water drains away, either over the surface\ \ (surface runoff), or under the ground (sub-surface runoff) and the sum of these\ \ two is simply called 'runoff'. This parameter is the total amount of water accumulated\ \ over a particular\ \ time period which depends on the data extracted.The units of runoff are\ \ depth in metres. This is the depth the water would have if it were spread evenly\ \ over the grid\ \ box. Care should be taken when comparing model parameters with observations,\ \ because observations are often local to a particular point rather than averaged\ \ over a grid square area. Observations are also often taken in different units,\ \ such as mm/day, rather than the accumulated metres produced here.

Runoff\ \ is a measure of the availability of water in the soil, and can, for example,\ \ be used as an indicator of drought or flood. More information about how runoff\ \ is calculated is given in the \ \ IFS Physical Processes documentation.\r\n\r\n[NOTE: See 231010 for the equivalent\ \ parameter in \"kg m-2\"]" access_ids: - dissemination origin_ids: - -90 - -80 - -70 - -50 - 98 table: 128 mars_request_context: - &id020 class: od stream: eefh type: cf levtype: sfc - &id021 class: od stream: eefh type: pf levtype: sfc - &id022 class: od stream: eefo type: cf levtype: sfc - &id023 class: od stream: eefo type: pf levtype: sfc - &id024 class: od stream: elda type: 4v levtype: sfc - &id025 class: od stream: elda type: fc levtype: sfc - &id026 class: od stream: enfh type: cf levtype: sfc - &id027 class: od stream: enfh type: pf levtype: sfc - &id028 class: od stream: enfo type: pf levtype: sfc - &id029 class: od stream: lwda type: 4v levtype: sfc - &id030 class: od stream: lwda type: fc levtype: sfc - &id031 class: od stream: mmsf type: fc levtype: sfc - &id032 class: od stream: oper type: 4v levtype: sfc - &id033 class: od stream: oper type: fc levtype: sfc - id: 9 shortname: ssro longname: Sub-surface runoff units: m description: "Some water from rainfall, melting snow, or deep in the soil, stays\ \ stored in the soil. Otherwise, the water drains away, either over the surface\ \ (surface runoff), or under the ground (sub-surface runoff) and the sum of these\ \ two is simply called 'runoff'. This parameter is the total amount of water accumulated\ \ over a particular\ \ time period which depends on the data extracted.The units of runoff are\ \ depth in metres. This is the depth the water would have if it were spread evenly\ \ over the grid\ \ box. Care should be taken when comparing model parameters with observations,\ \ because observations are often local to a particular point rather than averaged\ \ over a grid square area. Observations are also often taken in different units,\ \ such as mm/day, rather than the accumulated metres produced here.

Runoff\ \ is a measure of the availability of water in the soil, and can, for example,\ \ be used as an indicator of drought or flood. More information about how runoff\ \ is calculated is given in the \ \ IFS Physical Processes documentation.\r\n\r\n[NOTE: See 231012 for the equivalent\ \ parameter in \"kg m-2\"]" access_ids: - dissemination origin_ids: - -90 - -80 - -70 - -50 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id031 - *id032 - *id033 - id: 10 shortname: ws longname: Wind speed units: m s**-1 description:

The speed of horizontal air movement in metres per second.

The eastward and northward components of the horizontal wind are also available as parameters.

access_ids: - dissemination origin_ids: - -90 - -20 - 0 - 34 - 98 table: 128 mars_request_context: - &id127 class: ai stream: enfo type: em levtype: pl - &id128 class: ai stream: enfo type: es levtype: pl - &id131 class: od stream: eefo type: em levtype: pl - &id132 class: od stream: eefo type: es levtype: pl - &id135 class: od stream: enfo type: em levtype: pl - &id136 class: od stream: enfo type: es levtype: pl - id: 11 shortname: udvw longname: U component of divergent wind units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 12 shortname: vdvw longname: V component of divergent wind units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 13 shortname: urtw longname: U component of rotational wind units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 14 shortname: vrtw longname: V component of rotational wind units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 15 shortname: aluvp longname: UV visible albedo for direct radiation (climatological) units: (0 - 1) description: Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the fraction of direct solar (shortwave) radiation with wavelengths shorter than 0.7 µm (microns, 1 millionth of a metre) reflected by the Earth's surface (for snow-free land surfaces only). It is one of four components (parameters 15-18) that were used by the ECMWF Integrated Forecasting System (IFS) to represent albedo up to and including Cycle 46R1. Later cycles use instead six components (parameters 210186-210191). See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).

In the IFS, a climatological (observed values averaged over a period of several years) background albedo is used which varies from month to month through the year, modified by the model over water, ice and snow. access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: - *id024 - &id034 class: od stream: elda type: an levtype: sfc - *id029 - &id035 class: od stream: lwda type: an levtype: sfc - *id032 - &id036 class: od stream: oper type: an levtype: sfc - id: 16 shortname: aluvd longname: UV visible albedo for diffuse radiation (climatological) units: (0 - 1) description: Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the fraction of diffuse solar (shortwave) radiation with wavelengths shorter than 0.7 µm (microns, 1 millionth of a metre) reflected by the Earth's surface (for snow-free land surfaces only). It is one of four components (parameters 15-18) that were used by the ECMWF Integrated Forecasting System (IFS) to represent albedo up to and including Cycle 46R1. Later cycles use instead six components (parameters 210186-210191). See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).

In the IFS, a climatological (observed values averaged over a period of several years) background albedo is used which varies from month to month through the year, modified by the model over water, ice and snow. access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: - *id024 - *id034 - *id029 - *id035 - *id032 - *id036 - id: 17 shortname: alnip longname: Near IR albedo for direct radiation (climatological) units: (0 - 1) description: Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the fraction of direct solar (shortwave) radiation with wavelengths longer than 0.7 (microns, 1 millionth of a metre) reflected by the Earth's surface (for snow-free land surfaces only). It is one of four components (parameters 15-18) that were used by the ECMWF Integrated Forecasting System (IFS) to represent albedo up to and including Cycle 46R1. Later cycles use instead six components (parameters 210186-210191). See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).

In the IFS, a climatological (observed values averaged over a period of several years) background albedo is used which varies from month to month through the year, modified by the model over water, ice and snow. access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: - *id024 - *id034 - *id029 - *id035 - *id032 - *id036 - id: 18 shortname: alnid longname: Near IR albedo for diffuse radiation (climatological) units: (0 - 1) description: Albedo is a measure of the reflectivity of the Earth's surface. This parameter is the fraction of diffuse solar (shortwave) radiation with wavelengths longer than 0.7 µm (microns, 1 millionth of a metre) reflected by the Earth's surface (for snow-free land surfaces only). It is one of four components (parameters 15-18) that were used by the ECMWF Integrated Forecasting System (IFS) to represent albedo up to and including Cycle 46R1. Later cycles use instead six components (parameters 210186-210191). See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).

In the IFS, a climatological (observed values averaged over a period of several years) background albedo is used which varies from month to month through the year, modified by the model over water, ice and snow. access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: - *id024 - *id034 - *id029 - *id035 - *id032 - *id036 - id: 19 shortname: uvcs longname: Clear sky surface UV units: J m**-2 description: 0.20-0.44 um accumulated field access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 20 shortname: parcs longname: Surface photosynthetically active radiation, clear sky units: J m**-2 description: 0.44-0.70 um accumulated field access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - &id040 class: mc stream: oper type: fc levtype: sfc - *id025 - *id030 - *id033 - id: 21 shortname: uctp longname: Unbalanced component of temperature units: K description: Residual resulting from subtracting from temperature an approximate 'balanced' value derived from relevant variable(s) access_ids: [] origin_ids: - 0 - 98 table: 128 mars_request_context: - &id037 class: od stream: elda type: em levtype: ml - &id038 class: od stream: elda type: es levtype: ml - &id039 class: od stream: elda type: ses levtype: ml - id: 22 shortname: ucln longname: Unbalanced component of logarithm of surface pressure units: '~' description: 'Residual resulting from subtracting from logarithm of surface pressure an approximate ''balanced'' value derived from relevant variable(s).
Note that this parameter is dimensionless' access_ids: [] origin_ids: - 0 - 98 table: 128 mars_request_context: - *id037 - *id038 - *id039 - id: 23 shortname: ucdv longname: Unbalanced component of divergence units: s**-1 description: Residual resulting from subtracting from divergence an approximate 'balanced' value derived from relevant variable(s) access_ids: [] origin_ids: - 0 - 98 table: 128 mars_request_context: - *id037 - *id038 - *id039 - id: 24 shortname: '~' longname: Reserved for future unbalanced components units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 25 shortname: '~' longname: Reserved for future unbalanced components units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 26 shortname: cl longname: Lake cover units: (0 - 1) description: '

This parameter is the proportion of a grid box covered by inland water bodies (lakes, reservoirs, rivers) and coastal waters. Values vary between 0: no inland or coastal water body, and 1: grid box is fully covered with inland or coastal water body. This field is specified from observations and is constant in time.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world''s major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time.

' access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - &id041 class: mc stream: oper type: an levtype: sfc - *id040 - *id022 - *id024 - *id034 - *id025 - *id029 - *id035 - *id030 - *id031 - *id032 - *id036 - *id033 - id: 27 shortname: cvl longname: Low vegetation cover units: (0 - 1) description: This parameter is the fraction of the grid box (0-1) that is covered with vegetation that is classified as 'low'.

This is one of the parameters in the model that describes land surface vegetation. 'Low vegetation' consists of crops and mixed farming, irrigated crops, short grass, tall grass, tundra, semidesert, bogs and marshes, evergreen shrubs, deciduous shrubs, and water and land mixtures. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 28 shortname: cvh longname: High vegetation cover units: (0 - 1) description: This parameter is the fraction of the grid box (0-1) that is covered with vegetation that is classified as 'high'.

This is one of the parameters in the model that describes land surface vegetation. 'High vegetation' consists of evergreen trees, deciduous trees, mixed forest/woodland, and interrupted forest. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 29 shortname: tvl longname: Type of low vegetation units: (Code table 4.234) description: This parameter indicates the 10 types of low vegetation recognised by the ECMWF Integrated Forecasting System:

1 = Crops, Mixed farming

2 = Grass

7 = Tall grass

9 = Tundra

10 = Irrigated crops

11 = Semidesert

13 = Bogs and marshes

16 = Evergreen shrubs

17 = Deciduous shrubs

20 = Water and land mixtures

They are used to calculate the surface energy balance and the snow albedo.

The other types (3, 4, 5, 6, 18, 19 and 19) are high vegetation, or indicate no land surface vegetation (8 = Desert, 12=Ice caps and Glaciers, 14 = Inland water, 15 =Ocean). access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 30 shortname: tvh longname: Type of high vegetation units: (Code table 4.234) description: This parameter indicates the 6 types of high vegetation recognised by the ECMWF Integrated Forecasting System:

3 = Evergreen needleleaf trees

4 = Deciduous needleleaf trees

5 = Deciduous broadleaf trees

6 = Evergreen broadleaf trees

18 = Mixed forest/woodland

19 = Interrupted forest

They are used to calculate the surface energy balance and the snow albedo.

The other types (1, 2, 7, 9, 10, 11, 13, 16, 17 and 20) are low vegetation, or indicate no land surface vegetation (8 = Desert, 12=Ice caps and Glaciers, 14 = Inland water, 15 =Ocean). access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 31 shortname: ci longname: Sea ice area fraction units: (0 - 1) description: This parameter is the fraction of a grid box which is covered by sea ice. Sea ice can only occur in a grid box which includes ocean or inland water according to the land sea mask and lake cover, at the resolution being used. This parameter can be known as sea-ice (area) fraction, sea-ice concentration and more generally as sea-ice cover.

Coupled atmosphere ocean simulations of the ECMWF Integrated Forecasting System (IFS) predict the formation and melting of sea ice. Otherwise, in analyses and atmosphere only simulations, sea ice is derived from observations, but the model does take account of the way that sea ice alters the interaction between the atmosphere and ocean.

Sea ice is frozen sea water which floats on the surface of the ocean. Sea ice does not include ice which forms on land such as glaciers, icebergs and ice-sheets. It also excludes ice shelves which are anchored on land, but protrude out over the surface of the ocean. These phenomena are not modelled by the IFS.

Long-term monitoring of sea ice is important for understanding climate change. Sea ice also affects shipping routes through the polar regions. access_ids: - dissemination origin_ids: - -40 - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - &id042 class: od stream: eefh type: fcmax levtype: sfc - &id043 class: od stream: eefh type: fcmean levtype: sfc - &id044 class: od stream: eefh type: fcmin levtype: sfc - &id045 class: od stream: eefh type: fcstdev levtype: sfc - *id021 - *id022 - &id046 class: od stream: eefo type: fcmax levtype: sfc - &id047 class: od stream: eefo type: fcmean levtype: sfc - &id048 class: od stream: eefo type: fcmin levtype: sfc - &id049 class: od stream: eefo type: fcstdev levtype: sfc - *id023 - *id024 - *id034 - *id025 - *id026 - &id050 class: od stream: enfh type: fcmax levtype: sfc - &id051 class: od stream: enfh type: fcmean levtype: sfc - &id052 class: od stream: enfh type: fcmin levtype: sfc - &id053 class: od stream: enfh type: fcstdev levtype: sfc - *id027 - *id028 - *id029 - *id035 - *id030 - *id031 - &id054 class: od stream: msmm type: em levtype: sfc - &id055 class: od stream: msmm type: fcmax levtype: sfc - &id056 class: od stream: msmm type: fcmean levtype: sfc - &id057 class: od stream: msmm type: fcmin levtype: sfc - &id058 class: od stream: msmm type: fcstdev levtype: sfc - &id059 class: od stream: msmm type: hcmean levtype: sfc - *id032 - *id036 - *id033 - id: 32 shortname: asn longname: Snow albedo units: (0 - 1) description: 'This parameter is a measure of the reflectivity of the snow-covered part of the grid box. It is the fraction of solar (shortwave) radiation reflected by snow across the solar spectrum.

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level.

This parameter changes with snow age and also depends on vegetation height. For low vegetation, it ranges between 0.52 for old snow and 0.88 for fresh snow. For high vegetation with snow underneath, it depends on vegetation type and has values between 0.27 and 0.38. See further information.
[NOTE: See 228032 for the equivalent parameter in "%"]' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 33 shortname: rsn longname: Snow density units: kg m**-3 description: This parameter is the mass of snow per cubic metre in the snow layer.

The ECMWF Integrated Forecast System (IFS) model represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box.

See further information on snow in the IFS. access_ids: - dissemination origin_ids: - -40 - -20 - 0 - 98 table: 128 mars_request_context: - *id020 - &id166 class: od stream: eefh type: cf levtype: sol - *id042 - *id043 - *id044 - *id045 - *id021 - &id167 class: od stream: eefh type: pf levtype: sol - *id022 - &id168 class: od stream: eefo type: cf levtype: sol - *id046 - *id047 - *id048 - *id049 - *id023 - &id169 class: od stream: eefo type: pf levtype: sol - &id060 class: od stream: eefo type: taem levtype: sfc - &id061 class: od stream: eefo type: taes levtype: sfc - &id062 class: od stream: eehs type: taem levtype: sfc - &id063 class: od stream: eehs type: taes levtype: sfc - &id064 class: od stream: efhs type: taem levtype: sfc - &id065 class: od stream: efhs type: taes levtype: sfc - *id024 - *id034 - &id170 class: od stream: elda type: an levtype: sol - *id025 - &id171 class: od stream: elda type: fc levtype: sol - *id026 - &id172 class: od stream: enfh type: cf levtype: sol - *id050 - *id051 - *id052 - *id053 - *id027 - &id173 class: od stream: enfh type: pf levtype: sol - *id028 - &id174 class: od stream: enfo type: pf levtype: sol - *id029 - *id035 - &id175 class: od stream: lwda type: an levtype: sol - *id030 - &id176 class: od stream: lwda type: fc levtype: sol - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - &id177 class: od stream: oper type: an levtype: sol - *id033 - &id178 class: od stream: oper type: fc levtype: sol - id: 34 shortname: sst longname: Sea surface temperature units: K description: This parameter is the temperature of sea water near the surface.

This parameter is taken from various providers, who process the observational data in different ways. Each provider uses data from several different observational sources. For example, satellites measure sea surface temperature (SST) in a layer a few microns thick in the uppermost mm of the ocean, drifting buoys measure SST at a depth of about 0.2-1.5m, whereas ships sample sea water down to about 10m, while the vessel is underway. Deeper measurements are not affected by changes that occur during a day, due to the rising and setting of the Sun (diurnal variations).

Sometimes this parameter is taken from a forecast made by coupling the NEMO ocean model to the ECMWF Integrated Forecasting System. In this case, the SST is the average temperature of the uppermost metre of the ocean and does exhibit diurnal variations.

See further documentation .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - -40 - -20 - 0 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - id: 35 shortname: istl1 longname: Ice temperature layer 1 units: K description: 'This parameter is the sea-ice temperature in layer 1 (0 to 7cm).

The ECMWF Integrated Forecasting System (IFS) has a four-layer sea-ice slab:
Layer 1: 0-7cm
Layer 2: 7-28cm
Layer 3: 28-100cm
Layer 4: 100-150cm

The temperature of the sea-ice in each layer changes as heat is transferred between the sea-ice layers and the atmosphere above and ocean below. See further documentation.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 36 shortname: istl2 longname: Ice temperature layer 2 units: K description: 'This parameter is the sea-ice temperature in layer 2 (7 to 28 cm).

The ECMWF Integrated Forecasting System (IFS) has a four-layer sea-ice slab:
Layer 1: 0-7cm
Layer 2: 7-28cm
Layer 3: 28-100cm
Layer 4: 100-150cm

The temperature of the sea-ice in each layer changes as heat is transferred between the sea-ice layers and the atmosphere above and ocean below. See further documentation.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 37 shortname: istl3 longname: Ice temperature layer 3 units: K description: 'This parameter is the sea-ice temperature in layer 3 (28 to 100 cm).

The ECMWF Integrated Forecasting System (IFS) has a four-layer sea-ice slab:
Layer 1: 0-7cm
Layer 2: 7-28cm
Layer 3: 28-100cm
Layer 4: 100-150cm

The temperature of the sea-ice in each layer changes as heat is transferred between the sea-ice layers and the atmosphere above and ocean below. See further documentation.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 38 shortname: istl4 longname: Ice temperature layer 4 units: K description: 'This parameter is the sea-ice temperature in layer 4 (100 to 150 cm).

The ECMWF Integrated Forecasting System (IFS) has a four-layer sea-ice slab:
Layer 1: 0-7cm
Layer 2: 7-28cm
Layer 3: 28-100cm
Layer 4: 100-150cm

The temperature of the sea-ice in each layer changes as heat is transferred between the sea-ice layers and the atmosphere above and ocean below. See further documentation.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 39 shortname: swvl1 longname: Volumetric soil water layer 1 units: m**3 m**-3 description: 'This parameter is the volume of water in soil layer 1 (0 - 7cm, the surface is at 0cm).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:
Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id024 - *id034 - &id066 class: od stream: elda type: es levtype: sfc - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - &id067 class: od stream: enfo type: wp levtype: sfc - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - &id068 class: od stream: oper type: wp levtype: sfc - id: 40 shortname: swvl2 longname: Volumetric soil water layer 2 units: m**3 m**-3 description: 'This parameter is the volume of water in soil layer 2 (7 - 28cm, the surface is at 0cm).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:
Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id024 - *id034 - *id066 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 41 shortname: swvl3 longname: Volumetric soil water layer 3 units: m**3 m**-3 description: 'This parameter is the volume of water in soil layer 3 (28 - 100cm, the surface is at 0cm).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:
Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id024 - *id034 - *id066 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 42 shortname: swvl4 longname: Volumetric soil water layer 4 units: m**3 m**-3 description: 'This parameter is the volume of water in soil layer 4 (100 - 289cm, the surface is at 0cm).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:
Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id024 - *id034 - *id066 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 43 shortname: slt longname: Soil type units: (Code table 4.213) description:

This parameter is the texture (or classification) of soil used by the land surface scheme of the ECMWF Integrated Forecast System to predict the water holding capacity of soil in soil moisture and runoff calculations. It is derived from the root zone data (30-100 cm below the surface) of the FAO/UNESCO Digital Soil Map of the World, DSMW (FAO, 2003), which exists at a resolution of 5' X 5' (about 10 km).

The seven soil types are:

Coarse1
Medium2
Medium fine3
Fine4
Very fine5
Organic6
Tropical organic7
access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 44 shortname: es longname: Snow evaporation units: m of water equivalent description: 'This parameter is the accumulated amount of water that has evaporated from snow from the snow-covered area of a grid box into vapour in the air above.

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box. This parameter is the depth of water there would be if the evaporated snow (from the snow-covered area of a grid box ) were liquid and were spread evenly over the whole grid box.

This parameter is accumulated over a  particular time period which depends on the data extracted.

The ECMWF Integrated Forecasting System convention is that downward fluxes are positive. Therefore, negative values indicate evaporation and positive values indicate deposition.
[NOTE: See 231003 for the equivalent parameter in "kg m-2"]' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: - *id024 - *id025 - *id029 - *id030 - *id032 - *id033 - id: 45 shortname: smlt longname: Snowmelt units: m of water equivalent description: 'This parameter is the accumulated amount of water that has melted from snow in the snow-covered area of a grid box.

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box. This parameter is the depth of water there would be if the melted snow (from the snow-covered area of a grid box ) were spread evenly over the whole grid box. For example, if half the grid box were covered in snow with a water equivalent depth of 0.02m, this parameter would have a value of 0.01m.

This parameter is accumulated over a  particular time period which depends on the data extracted. [NOTE: See 3099 for the equivalent parameter in "kg m-2"]' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id032 - *id033 - id: 46 shortname: sdur longname: Solar duration units: s description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 47 shortname: dsrp longname: Surface direct normal short-wave (solar) radiation units: J m**-2 description:

This parameter is the amount of direct radiation from the Sun (also known as solar or shortwave radiation) reaching the surface on a plane perpendicular to the direction of the Sun. 

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation). See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.

access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 48 shortname: magss longname: Time-integrated magnitude of turbulent surface stress units: N m**-2 s description:

Accumulated field

access_ids: [] origin_ids: - 0 - 98 table: 128 mars_request_context: [] - id: 49 shortname: 10fg longname: Maximum 10 metre wind gust since previous post-processing units: m s**-1 description: "Maximum 3 second wind at 10 m height as defined by WMO.

\r\n\ Parametrization represents turbulence only before 01102008; thereafter effects\ \ of convection are included. The 3 s gust is computed every time step and and\ \ the maximum is kept since the last postprocessing." access_ids: - dissemination origin_ids: - -20 - 0 - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - &id092 class: od stream: efhs type: cd levtype: sfc - &id093 class: od stream: efhs type: em levtype: sfc - &id094 class: od stream: efhs type: es levtype: sfc - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id033 - id: 50 shortname: lspf longname: Large-scale precipitation fraction units: s description: This parameter is the accumulation of the fraction of the grid box (0-1) that was covered by large-scale precipitation.

This parameter is accumulated over a particular time period which depends on the data extracted. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id025 - *id030 - *id033 - id: 51 shortname: mx2t24 longname: Maximum temperature at 2 metres in the last 24 hours units: K description: The highest value of 2 metre temperature in the previous 24 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - -70 - 98 table: 128 mars_request_context: - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 52 shortname: mn2t24 longname: Minimum temperature at 2 metres in the last 24 hours units: K description: The lowest value of 2 metre temperature in the previous 24 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - -70 - 98 table: 128 mars_request_context: - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 53 shortname: mont longname: Montgomery potential units: m**2 s**-2 description: Takes the role of geopotential in an isentropic vertical coordinate access_ids: [] origin_ids: - 0 - 34 - 98 table: 128 mars_request_context: - &id073 class: od stream: elda type: 4v levtype: pt - &id075 class: od stream: elda type: an levtype: pt - &id082 class: od stream: lwda type: 4v levtype: pt - &id084 class: od stream: lwda type: an levtype: pt - &id087 class: od stream: oper type: 4v levtype: pt - &id089 class: od stream: oper type: an levtype: pt - id: 54 shortname: pres longname: Pressure units: Pa description: null access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - &id095 class: od stream: eefh type: cf levtype: pt - *id069 - &id096 class: od stream: eefh type: pf levtype: pt - *id070 - &id097 class: od stream: eefo type: cf levtype: pt - *id071 - &id098 class: od stream: eefo type: pf levtype: pt - *id072 - *id073 - *id074 - *id075 - *id076 - &id099 class: od stream: elda type: fc levtype: pt - *id077 - &id100 class: od stream: enfh type: cf levtype: pt - *id078 - *id079 - &id101 class: od stream: enfh type: pf levtype: pt - *id080 - &id102 class: od stream: enfo type: pf levtype: pt - *id081 - *id082 - *id083 - *id084 - *id085 - &id103 class: od stream: lwda type: fc levtype: pt - *id086 - *id087 - *id088 - *id089 - *id090 - &id104 class: od stream: oper type: fc levtype: pt - *id091 - id: 55 shortname: mean2t24 longname: Mean temperature at 2 metres in the last 24 hours units: K description:

The mean value of 2 metre temperature in the previous 24 hour period. The mean is calculated from the temperature at each model time step.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15

Please use 228004 for the GRIB2 encoding of this parameter.

access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id031 - id: 56 shortname: mn2d24 longname: Mean 2 metre dewpoint temperature in the last 24 hours units: K description:

6-hourly intervals

Please use 235168 for the GRIB2 encoding of this parameter.

access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 57 shortname: uvb longname: Surface downward UV radiation units: J m**-2 description:

This parameter is the amount of ultraviolet (UV) radiation reaching the surface. It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

UV radiation is part of the electromagnetic spectrum emitted by the Sun that has wavelengths shorter than visible light. In the ECMWF Integrated Forecasting system it is defined as radiation with a wavelength of 0.20-0.44 µm (microns, 1 millionth of a metre). 

Small amounts of UV are essential for living organisms, but overexposure may result in cell damage; in humans this includes acute and chronic health effects on the skin, eyes and immune system. UV radiation is absorbed by the ozone layer, but some reaches the surface. The depletion of the ozone layer is causing concern over an increase in the damaging effects of UV. 

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.

access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id032 - *id033 - id: 58 shortname: par longname: Photosynthetically active radiation at the surface units: J m**-2 description: '0.40-0.70 um. Accumulated field.
Before Cycle 43R1, a coding error meant that PAR was computed from the wrong spectral bands and hence was underestimated by around 30%.
It should therefore only be used from Cycles 43R1 and later.' access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id024 - *id025 - *id029 - *id030 - *id032 - *id033 - id: 59 shortname: cape longname: Convective available potential energy units: J kg**-1 description: 'This is an indication of the instability (or stability) of the atmosphere and can be used to assess the potential for the development of convection, which can lead to heavy rainfall, thunderstorms and other severe weather.

In the ECMWF Integrated Forecasting System (IFS), CAPE is calculated by considering parcels of air departing at different model levels below the 350 hPa level. If a parcel of air is more buoyant (warmer and/or with more moisture) than its surrounding environment, it will continue to rise (cooling as it rises) until it reaches a point where it no longer has positive buoyancy. CAPE is the potential energy represented by the total excess buoyancy. The maximum CAPE produced by the different parcels is the value retained.

Large positive values of CAPE indicate that an air parcel would be much warmer than its surrounding environment and therefore, very buoyant. CAPE is related to the maximum potential vertical velocity of air within an updraft; thus, higher values indicate greater potential for severe weather. Observed values in thunderstorm environments often may exceed 1000 joules per kilogram (J kg-1), and in extreme cases may exceed 5000 J kg-1.

The calculation of this parameter assumes: (i) the parcel of air does not mix with surrounding air; (ii) ascent is pseudo-adiabatic (all condensed water falls out) and (iii) other simplifications related to the mixed-phase condensational heating.' access_ids: [] origin_ids: - -40 - 0 - 7 - 98 table: 128 mars_request_context: - *id092 - *id093 - *id094 - *id024 - *id029 - *id032 - id: 60 shortname: pv longname: Potential vorticity units: K m**2 kg**-1 s**-1 description: 'Potential vorticity is a measure of the capacity for air to rotate in the atmosphere. If we ignore the effects of heating and friction, potential vorticity is conserved following an air parcel. It is used to look for places where large wind storms are likely to originate and develop. Potential vorticity increases strongly above the tropopause and therefore, it can also be used in studies related to the stratosphere and stratosphere-troposphere exchanges.

Large wind storms develop when a column of air in the atmosphere starts to rotate. Potential vorticity is calculated from the wind, temperature and pressure across a column of air in the atmosphere. ' access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - &id129 class: mc stream: oper type: an levtype: pl - &id130 class: mc stream: oper type: fc levtype: pl - *id001 - *id095 - class: od stream: eefh type: fcmean levtype: pt - *id003 - *id096 - *id004 - *id097 - class: od stream: eefo type: fcmean levtype: pt - *id006 - *id098 - &id133 class: od stream: elda type: 4v levtype: pl - *id073 - &id134 class: od stream: elda type: an levtype: pl - *id075 - *id013 - *id099 - *id014 - *id100 - class: od stream: enfh type: fcmean levtype: pt - *id016 - *id101 - *id017 - *id102 - &id137 class: od stream: lwda type: 4v levtype: pl - *id082 - &id138 class: od stream: lwda type: an levtype: pl - *id084 - *id018 - *id103 - class: od stream: mmsf type: fc levtype: pt - class: od stream: msmm type: em levtype: pt - class: od stream: msmm type: fcmean levtype: pt - class: od stream: msmm type: hcmean levtype: pt - &id139 class: od stream: oper type: 4v levtype: pl - *id087 - &id140 class: od stream: oper type: an levtype: pl - *id089 - *id019 - *id104 - id: 62 shortname: obct longname: Observation count units: '~' description: Count of observations used in calculating value at a gridpoint access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 63 shortname: stsktd longname: Start time for skin temperature difference units: s description: Seconds from reference time access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 64 shortname: ftsktd longname: Finish time for skin temperature difference units: s description: Seconds from reference time access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 65 shortname: sktd longname: Skin temperature difference units: K description: '' access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 66 shortname: lai_lv longname: Leaf area index, low vegetation units: m**2 m**-2 description: This parameter is the surface area of one side of all the leaves found over an area of land for vegetation classified as 'low'. This parameter has a value of 0 over bare ground or where there are no leaves. It can be calculated daily from satellite data. It is important for forecasting, for example, how much rainwater will be intercepted by the vegetative canopy, rather than falling to the ground.

This is one of the parameters in the model that describes land surface vegetation. 'Low vegetation' consists of crops and mixed farming, irrigated crops, short grass, tall grass, tundra, semidesert, bogs and marshes, evergreen shrubs, deciduous shrubs, and water and land mixtures. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id022 - *id024 - *id034 - *id025 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 67 shortname: lai_hv longname: Leaf area index, high vegetation units: m**2 m**-2 description: This parameter is the surface area of one side of all the leaves found over an area of land for vegetation classified as 'high'. This parameter has a value of 0 over bare ground or where there are no leaves. It can be calculated daily from satellite data. It is important for forecasting, for example, how much rainwater will be intercepted by the vegetative canopy, rather than falling to the ground.

This is one of the parameters in the model that describes land surface vegetation. 'High vegetation' consists of evergreen trees, deciduous trees, mixed forest/woodland, and interrupted forest. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id022 - *id024 - *id034 - *id025 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 68 shortname: msr_lv longname: Minimum stomatal resistance, low vegetation units: s m**-1 description: '' access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 69 shortname: msr_hv longname: Minimum stomatal resistance, high vegetation units: s m**-1 description: '' access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 70 shortname: bc_lv longname: Biome cover, low vegetation units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 71 shortname: bc_hv longname: Biome cover, high vegetation units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 72 shortname: issrd longname: Instantaneous surface solar radiation downwards units: W m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 73 shortname: istrd longname: Instantaneous surface thermal radiation downwards units: W m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 74 shortname: sdfor longname: Standard deviation of filtered subgrid orography (climatological) units: m description: Climatological field (scales between approximately 3 and 22 km are included) access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 75 shortname: crwc longname: Specific rain water content units: kg kg**-1 description: 'The mass of water produced from large-scale clouds that is of raindrop size and so can fall to the surface as precipitation.

Large-scale clouds are generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. See further information.

The quantity is expressed in kilograms per kilogram of the total mass of moist air. The ''total mass of moist air'' is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow. This parameter represents the average value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The IFS cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, phase transition and aggregation are also highly simplified in the IFS.' access_ids: - dissemination origin_ids: - -80 - -20 - 0 - 98 table: 128 mars_request_context: - &id105 class: mc stream: oper type: an levtype: ml - &id106 class: mc stream: oper type: fc levtype: ml - &id107 class: od stream: eefh type: cf levtype: ml - &id108 class: od stream: eefh type: pf levtype: ml - &id109 class: od stream: eefo type: cf levtype: ml - &id110 class: od stream: eefo type: pf levtype: ml - &id111 class: od stream: elda type: 4v levtype: ml - &id112 class: od stream: elda type: an levtype: ml - &id113 class: od stream: elda type: fc levtype: ml - &id114 class: od stream: enfh type: cf levtype: ml - &id115 class: od stream: enfh type: pf levtype: ml - &id116 class: od stream: enfo type: pf levtype: ml - &id117 class: od stream: lwda type: 4v levtype: ml - &id118 class: od stream: lwda type: an levtype: ml - &id119 class: od stream: lwda type: fc levtype: ml - &id120 class: od stream: oper type: 4v levtype: ml - &id121 class: od stream: oper type: an levtype: ml - &id122 class: od stream: oper type: fc levtype: ml - id: 76 shortname: cswc longname: Specific snow water content units: kg kg**-1 description: 'The mass of snow (aggregated ice crystals) produced from large-scale clouds that can fall to the surface as precipitation.

Large-scale clouds are generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. See further information.

The mass is expressed in kilograms per kilogram of the total mass of moist air. The ''total mass of moist air'' is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow. This parameter represents the average value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The IFS cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, phase transition and aggregation are also highly simplified in the IFS.' access_ids: - dissemination origin_ids: - -80 - -20 - 0 - 98 table: 128 mars_request_context: - *id105 - *id106 - *id107 - *id108 - *id109 - *id110 - *id111 - *id112 - *id113 - *id114 - *id115 - *id116 - *id117 - *id118 - *id119 - *id120 - *id121 - *id122 - id: 77 shortname: etadot longname: Eta-coordinate vertical velocity units: s**-1 description: This parameter is the rate of air motion in the upward or downward direction. The ECMWF Integrated Forecasting System (IFS) uses a pressure and terrain-based vertical coordinate system called eta-coordinate. Since pressure in the atmosphere decreases with height, negative values of eta-coordinate vertical velocity indicate upward motion.

This parameter is used in the IFS to calculate the vertical transport, or advection, of atmospheric quantities such as moisture. access_ids: - dissemination origin_ids: - -80 - 0 - 98 table: 128 mars_request_context: - *id111 - *id112 - *id113 - *id117 - *id118 - *id119 - *id120 - *id121 - *id122 - id: 78 shortname: tclw longname: Total column cloud liquid water units: kg m**-2 description: 'This parameter is the amount of liquid water contained within cloud droplets in a column extending from the surface of the Earth to the top of the atmosphere. Rain water droplets, which are much larger in size (and mass), are not included in this parameter.

This parameter represents the area averaged value for a model grid box.

Clouds contain a continuum of different- sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, phase transition and aggregation are also highly simplified in the IFS.' access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - id: 79 shortname: tciw longname: Total column cloud ice water units: kg m**-2 description: 'This parameter is the amount of ice contained within clouds in a column extending from the surface of the Earth to the top of the atmosphere. Snow (aggregated ice crystals) is not included in this parameter.

This parameter represents the area averaged value for a model grid box.

Clouds contain a continuum of different- sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, phase transition and aggregation are also highly simplified in the IFS.' access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - id: 80 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 81 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 82 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 83 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 84 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 85 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 86 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 87 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 88 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 89 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 90 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 91 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 92 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 93 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 94 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 95 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 96 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 97 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 98 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 99 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 100 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 101 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 102 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 103 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 104 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 105 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 106 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 107 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 108 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 109 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 110 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 111 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 112 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 113 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 114 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 115 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 116 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 117 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 118 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 119 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 120 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 121 shortname: mx2t6 longname: Maximum temperature at 2 metres in the last 6 hours units: K description: The highest value of 2 metre temperature in the previous 6 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - -40 - -30 - 0 - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - &id123 class: od stream: eefo type: em levtype: sfc - &id124 class: od stream: eefo type: es levtype: sfc - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - &id125 class: od stream: enfo type: em levtype: sfc - &id126 class: od stream: enfo type: es levtype: sfc - *id028 - *id067 - *id030 - *id033 - *id068 - id: 122 shortname: mn2t6 longname: Minimum temperature at 2 metres in the last 6 hours units: K description: The lowest value of 2 metre temperature in the previous 6 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - -40 - -30 - 0 - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id123 - *id124 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id125 - *id126 - *id028 - *id067 - *id030 - *id033 - *id068 - id: 123 shortname: 10fg6 longname: Maximum 10 metre wind gust in the last 6 hours units: m s**-1 description: This parameter is the maximum wind gust in the last 6 hours at a height of ten metres above the surface of the Earth.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during the last 6 hours.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id067 - *id030 - *id033 - *id068 - id: 124 shortname: emis longname: Surface emissivity units: Proportion description: null access_ids: [] origin_ids: - 0 - 98 table: 128 mars_request_context: [] - id: 125 shortname: vite longname: Vertically integrated total energy units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 126 shortname: '~' longname: Generic parameter for sensitive area prediction units: Various description: Originating centre dependent access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 127 shortname: at longname: Atmospheric tide units: '~' description: Not GRIB data (pseudo-GRIB) access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 128 shortname: bv longname: Budget values units: '~' description: Not GRIB data (pseudo-GRIB) access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 129 shortname: z longname: Geopotential units: m**2 s**-2 description:

This parameter is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. It is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

The geopotential height can be calculated by dividing the geopotential by the Earth's gravitational acceleration, g (=9.80665 m s-2). The geopotential height plays an important role in synoptic meteorology (analysis of weather patterns). Charts of geopotential height plotted at constant pressure levels (e.g., 300, 500 or 850 hPa) can be used to identify weather systems such as cyclones, anticyclones, troughs and ridges.

At the surface of the Earth, this parameter shows the variations in geopotential (height) of the surface, and is often referred to as the orography.

access_ids: - dissemination origin_ids: - -80 - -20 - 0 - 34 - 98 table: 128 mars_request_context: - &id141 class: ai stream: enfo type: cf levtype: pl - &id158 class: ai stream: enfo type: cf levtype: sfc - *id127 - *id128 - &id142 class: ai stream: enfo type: pf levtype: pl - &id159 class: ai stream: enfo type: pf levtype: sfc - &id143 class: ai stream: oper type: fc levtype: pl - &id160 class: ai stream: oper type: fc levtype: sfc - *id105 - *id129 - *id041 - *id106 - *id130 - *id040 - *id107 - *id001 - *id069 - *id020 - *id002 - *id108 - *id003 - *id070 - *id021 - *id109 - *id004 - *id071 - *id022 - *id131 - *id132 - *id005 - *id110 - *id006 - *id072 - *id023 - *id007 - *id008 - &id144 class: od stream: eehs type: em levtype: pl - &id145 class: od stream: eehs type: es levtype: pl - *id009 - *id010 - &id146 class: od stream: efhs type: em levtype: pl - &id147 class: od stream: efhs type: es levtype: pl - *id011 - *id012 - *id111 - *id133 - *id074 - *id024 - *id112 - *id134 - *id076 - *id034 - *id113 - *id013 - *id077 - *id025 - *id114 - *id014 - *id078 - *id026 - *id015 - *id079 - *id115 - *id016 - *id080 - *id027 - &id161 class: od stream: enfo type: cm levtype: pl - &id162 class: od stream: enfo type: cr levtype: pl - *id135 - *id136 - *id116 - *id017 - *id081 - *id028 - class: od stream: enfo type: tf - &id148 class: od stream: enfo type: wp levtype: pl - *id067 - *id117 - *id137 - *id083 - *id029 - *id118 - *id138 - *id085 - *id035 - *id119 - *id018 - *id086 - *id030 - &id149 class: od stream: mmsf type: fc levtype: ml - &id150 class: od stream: mmsf type: fc levtype: pl - *id031 - &id151 class: od stream: msmm type: em levtype: pl - &id152 class: od stream: msmm type: fcmean levtype: pl - &id153 class: od stream: msmm type: hcmean levtype: pl - *id120 - *id139 - *id088 - *id032 - *id121 - *id140 - *id090 - *id036 - *id122 - *id019 - *id091 - *id033 - class: od stream: oper type: tf - &id154 class: od stream: oper type: wp levtype: pl - *id068 - class: od stream: scda type: tf - id: 130 shortname: t longname: Temperature units: K description:

This parameter is the temperature in the atmosphere.

It has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

This parameter is available on multiple levels through the atmosphere.

access_ids: - dissemination origin_ids: - -80 - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id141 - *id127 - *id128 - *id142 - *id143 - *id105 - *id129 - *id106 - *id130 - *id107 - *id001 - *id002 - *id108 - *id003 - *id109 - *id004 - class: od stream: eefo type: ed levtype: pl - *id131 - *id132 - *id005 - *id110 - *id006 - *id007 - *id008 - *id144 - *id145 - *id009 - *id010 - *id146 - *id147 - *id011 - *id012 - *id111 - *id133 - *id112 - *id134 - *id037 - *id038 - *id113 - *id013 - *id039 - *id114 - *id014 - *id015 - &id155 class: od stream: enfh type: icp levtype: ml - *id115 - *id016 - *id135 - *id136 - &id156 class: od stream: enfo type: icp levtype: ml - *id116 - *id017 - *id148 - *id117 - *id137 - *id118 - *id138 - *id119 - *id018 - *id149 - *id150 - &id157 class: od stream: mmsf type: icp levtype: ml - *id151 - *id152 - *id153 - *id120 - *id139 - *id121 - *id140 - *id122 - *id019 - *id154 - id: 131 shortname: u longname: U component of wind units: m s**-1 description:

This parameter is the eastward component of the wind. It is the horizontal speed of air moving towards the east, in metres per second. A negative sign thus indicates air movement towards the west.

This parameter can be combined with the V component of wind to give the speed and direction of the horizontal wind.

access_ids: - dissemination origin_ids: - -90 - -60 - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id141 - *id142 - *id143 - *id105 - *id106 - *id107 - *id001 - *id095 - *id069 - *id002 - *id108 - *id003 - *id096 - *id070 - *id109 - *id004 - *id097 - *id071 - *id005 - *id110 - *id006 - *id098 - *id072 - *id007 - *id008 - *id009 - *id010 - *id011 - *id012 - *id111 - *id133 - *id073 - *id074 - *id112 - *id134 - *id075 - *id076 - *id037 - *id038 - *id113 - *id013 - *id099 - *id077 - *id039 - *id114 - *id014 - *id100 - *id078 - *id015 - *id079 - *id155 - *id115 - *id016 - *id101 - *id080 - *id156 - *id116 - *id017 - *id102 - *id081 - *id148 - *id117 - *id137 - *id082 - *id083 - *id118 - *id138 - *id084 - *id085 - *id119 - *id018 - *id103 - *id086 - *id149 - *id150 - *id157 - *id151 - *id152 - *id153 - *id120 - *id139 - *id087 - *id088 - *id121 - *id140 - *id089 - *id090 - *id122 - *id019 - *id104 - *id091 - *id154 - id: 132 shortname: v longname: V component of wind units: m s**-1 description:

This parameter is the northward component of the wind. It is the horizontal speed of air moving towards the north, in metres per second. A negative sign thus indicates air movement towards the south.

This parameter can be combined with the U component of wind to give the speed and direction of the horizontal wind.

access_ids: - dissemination origin_ids: - -90 - -60 - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id141 - *id142 - *id143 - *id105 - *id106 - *id107 - *id001 - *id095 - *id069 - *id002 - *id108 - *id003 - *id096 - *id070 - *id109 - *id004 - *id097 - *id071 - *id005 - *id110 - *id006 - *id098 - *id072 - *id007 - *id008 - *id009 - *id010 - *id011 - *id012 - *id111 - *id133 - *id073 - *id074 - *id112 - *id134 - *id075 - *id076 - *id037 - *id038 - *id113 - *id013 - *id099 - *id077 - *id039 - *id114 - *id014 - *id100 - *id078 - *id015 - *id079 - *id155 - *id115 - *id016 - *id101 - *id080 - *id156 - *id116 - *id017 - *id102 - *id081 - *id148 - *id117 - *id137 - *id082 - *id083 - *id118 - *id138 - *id084 - *id085 - *id119 - *id018 - *id103 - *id086 - *id149 - *id150 - *id157 - *id151 - *id152 - *id153 - *id120 - *id139 - *id087 - *id088 - *id121 - *id140 - *id089 - *id090 - *id122 - *id019 - *id104 - *id091 - *id154 - id: 133 shortname: q longname: Specific humidity units: kg kg**-1 description:

This parameter is the mass of water vapour per kilogram of moist air.

The total mass of moist air is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow.

access_ids: - dissemination origin_ids: - -80 - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id141 - *id142 - *id143 - *id105 - *id129 - *id106 - *id130 - *id107 - *id001 - *id069 - *id002 - *id108 - *id003 - *id070 - *id109 - *id004 - *id071 - *id005 - *id110 - *id006 - *id072 - *id007 - *id008 - *id009 - *id010 - *id011 - *id012 - *id111 - *id133 - *id073 - *id074 - *id112 - *id134 - *id075 - *id076 - *id037 - *id038 - *id113 - *id013 - *id099 - *id077 - *id039 - *id114 - *id014 - *id078 - *id015 - *id079 - *id155 - *id115 - *id016 - *id080 - *id116 - *id017 - *id081 - *id117 - *id137 - *id082 - *id083 - *id118 - *id138 - *id084 - *id085 - *id119 - *id018 - *id103 - *id086 - *id149 - *id150 - *id157 - *id151 - *id152 - *id153 - *id120 - *id139 - *id087 - *id088 - *id121 - *id140 - *id089 - *id090 - *id122 - *id019 - *id104 - *id091 - id: 134 shortname: sp longname: Surface pressure units: Pa description: This parameter is the pressure (force per unit area) of the atmosphere on the surface of land, sea and in-land water.

It is a measure of the weight of all the air in a column vertically above the area of the Earth's surface represented at a fixed point.

Surface pressure is often used in combination with temperature to calculate air density.

The strong variation of pressure with altitude makes it difficult to see the low and high pressure systems over mountainous areas, so mean sea level pressure, rather than surface pressure, is normally used for this purpose.

The units of this parameter are Pascals (Pa). Surface pressure is often measured in hPa and sometimes is presented in the old units of millibars, mb (1 hPa = 1 mb= 100 Pa). access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - *id068 - id: 135 shortname: w longname: Vertical velocity units: Pa s**-1 description: This parameter is the speed of air motion in the upward or downward direction. The ECMWF Integrated Forecasting System (IFS) uses a pressure based vertical co-ordinate system and pressure decreases with height, therefore negative values of vertical velocity indicate upward motion.

Vertical velocity can be useful to understand the large-scale dynamics of the atmosphere, including areas of upward motion/ascent (negative values) and downward motion/subsidence (positive values). access_ids: - dissemination origin_ids: - -80 - 0 - 34 - 98 table: 128 mars_request_context: - *id141 - *id142 - *id143 - *id105 - *id129 - *id106 - *id130 - *id107 - *id001 - *id108 - *id003 - *id109 - *id004 - *id110 - *id006 - *id111 - *id133 - *id112 - *id134 - *id113 - *id013 - *id114 - *id014 - *id115 - *id016 - *id116 - *id017 - *id117 - *id137 - *id118 - *id138 - *id119 - *id018 - *id120 - *id139 - *id121 - *id140 - *id122 - *id019 - id: 136 shortname: tcw longname: Total column water units: kg m**-2 description: This parameter is the sum of water vapour, liquid water, cloud ice, rain and snow in a column extending from the surface of the Earth to the top of the atmosphere. In old versions of the ECMWF model (IFS), rain and snow were not accounted for. access_ids: - dissemination origin_ids: - -40 - 0 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 137 shortname: tcwv longname: Total column vertically-integrated water vapour units: kg m**-2 description: This parameter is the total amount of water vapour in a column extending from the surface of the Earth to the top of the atmosphere.

This parameter represents the area averaged value for a grid box. access_ids: - dissemination origin_ids: - 0 - 34 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - id: 138 shortname: vo longname: Vorticity (relative) units: s**-1 description: This parameter is a measure of the rotation of air in the horizontal, around a vertical axis, relative to a fixed point on the surface of the Earth.

On the scale of weather systems, troughs (weather features that can include rain) are associated with anticlockwise rotation (in the northern hemisphere), and ridges (weather features that bring light or still winds) are associated with clockwise rotation.

Adding the rotation of the Earth, the so-called Coriolis parameter, to the relative vorticity produces the absolute vorticity. access_ids: - dissemination origin_ids: - -80 - 0 - 34 - 98 table: 128 mars_request_context: - *id105 - *id106 - *id107 - *id001 - *id095 - *id002 - *id108 - *id003 - *id096 - *id109 - *id004 - *id097 - *id005 - *id110 - *id006 - *id098 - *id111 - *id133 - *id073 - *id112 - *id134 - *id075 - *id037 - *id038 - *id113 - *id013 - *id099 - *id039 - *id114 - *id014 - *id100 - *id015 - *id155 - *id115 - *id016 - *id101 - *id156 - *id116 - *id017 - *id102 - *id117 - *id137 - *id082 - *id118 - *id138 - *id084 - *id119 - *id018 - *id103 - *id149 - *id150 - *id157 - *id151 - *id152 - *id153 - *id120 - *id139 - *id087 - *id121 - *id140 - *id089 - *id122 - *id019 - *id104 - id: 139 shortname: stl1 longname: Soil temperature level 1 units: K description: 'This parameter is the temperature of the soil at level 1 (in the middle of layer 1).

The ECMWF Integrated Forecasting System (IFS) has a four-layer representation of soil, where the surface is at 0cm:

Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of Kelvin (K). Temperature measured in Kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id066 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 140 shortname: swl1 longname: Soil wetness level 1 units: m of water equivalent description: Old field, layer 1-7 cm (new soil moisture is archived as field 39). Surface soil wetness (SSW) before 19930804 access_ids: [] origin_ids: - 98 table: 128 mars_request_context: - *id066 - id: 141 shortname: sd longname: Snow depth units: m of water equivalent description: "This parameter is the depth of snow from the snow-covered area of\ \ a \ \ grid box.

Its units are metres of water equivalent, so it is the\ \ depth the water would have if the snow melted and was spread evenly over the\ \ whole grid box. The ECMWF Integrated Forecast System represents snow as a single\ \ additional layer over the uppermost soil level. The snow may cover all or part\ \ of the grid box.

\ \ See further information.\r\n\r\n[NOTE: See 228141 for the equivalent parameter\ \ in \"kg m-2\"]" access_ids: - dissemination origin_ids: - -90 - -80 - -70 - -50 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 142 shortname: lsp longname: Large-scale precipitation units: m description: 'This parameter is the accumulated liquid and frozen water, comprising rain and snow, that falls to the Earth''s surface and which is generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of the grid box or larger. Precipitation can also be generated by the convection scheme in the IFS, which represents convection at spatial scales smaller than the grid box. See further information. This parameter does not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted. The units of this parameter are depth in metres of water equivalent. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.
[NOTE: See 3062 for the equivalent parameter in "kg m-2"]' access_ids: - dissemination origin_ids: - -80 - -70 - -50 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id030 - *id031 - *id032 - *id033 - *id068 - id: 143 shortname: cp longname: Convective precipitation units: m description: 'This parameter is the accumulated liquid and frozen water, comprising rain and snow, that falls to the Earth''s surface and which is generated by the convection scheme in the ECMWF Integrated Forecasting System (IFS). The convection scheme represents convection at spatial scales smaller than the grid box. Precipitation can also be generated by the cloud scheme in the IFS, which represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly at spatial scales of the grid box or larger. See further information. This parameter does not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted. The units of this parameter are depth in metres of water equivalent. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.
[NOTE: See 228143 for the equivalent parameter in "kg m-2"]' access_ids: - dissemination origin_ids: - -80 - -70 - -50 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id030 - *id031 - *id032 - *id033 - *id068 - id: 144 shortname: sf longname: Snowfall units: m of water equivalent description: 'This parameter is the accumulated snow that falls to the Earth''s surface. It is the sum of large-scale snowfall and convective snowfall. Large-scale snowfall is generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of the grid box or larger. Convective snowfall is generated by the convection scheme in the IFS, which represents convection at spatial scales smaller than the grid box. See further information.

This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted. The units of this parameter are depth in metres of water equivalent. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.
[NOTE: See 228144 for the equivalent parameter in "kg m-2"]' access_ids: - dissemination origin_ids: - -90 - -80 - -70 - -50 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id092 - *id093 - *id094 - *id025 - *id026 - *id027 - *id028 - *id067 - *id030 - *id031 - *id033 - *id068 - id: 145 shortname: bld longname: Time-integrated boundary layer dissipation units: J m**-2 description:

This parameter is the amount of energy per unit area that is converted from kinetic energy, into heat, due to small-scale motion in the lower levels of the atmosphere. These small-scale motions are called eddies or turbulence. A higher value of this parameter means that more energy is being converted to heat, and so the mean flow is slowing more and the air temperature is rising by a greater amount. 

This parameter is accumulated over a particular time period which depends on the data extracted.

access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 146 shortname: sshf longname: Time-integrated surface sensible heat net flux units: J m**-2 description:

This parameter is the transfer of heat between the Earth's surface and the atmosphere through the effects of turbulent air motion (but excluding any heat transfer resulting from condensation or evaporation).

The magnitude of the sensible heat flux is governed by the difference in temperature between the surface and the overlying atmosphere, wind speed and the surface roughness. For example, cold air overlying a warm surface would produce a sensible heat flux from the land (or ocean) into the atmosphere. See further documentation 

This is a single level parameter and it is accumulated over a particular time period which depends on the data extracted.The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards.

access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 147 shortname: slhf longname: Time-integrated surface latent heat net flux units: J m**-2 description:

This parameter is the transfer of latent heat (resulting from water phase changes, such as evaporation or condensation) between the Earth's surface and the atmosphere through the effects of turbulent air motion. Evaporation from the Earth's surface represents a transfer of energy from the surface to the atmosphere. See further documentation

This parameter is accumulated over a particular time period which depends on the data extracted.The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.

access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 148 shortname: chnk longname: Charnock units: Numeric description: "This parameter accounts for increased aerodynamic roughness as wave\ \ heights grow due to increasing surface stress. It depends on the wind speed,\ \ wave age and other aspects of the sea state and is used to calculate how much\ \ the waves slow down the wind.

When the atmospheric model is run without\ \ the ocean model, this parameter has a constant value of 0.018. When the atmospheric\ \ model is coupled to the ocean model, this parameter is calculated by the ECMWF\ \ Wave Model.\r\n
" access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 149 shortname: snr longname: Surface net radiation (SW and LW) units: J m**-2 description: Accumulated field access_ids: [] origin_ids: - 0 - 98 table: 128 mars_request_context: [] - id: 150 shortname: tnr longname: Top net radiation (SW and LW) units: J m**-2 description: Accumulated field access_ids: [] origin_ids: - 0 - 98 table: 128 mars_request_context: [] - id: 151 shortname: msl longname: Mean sea level pressure units: Pa description: This parameter is the pressure (force per unit area) of the atmosphere adjusted to the height of mean sea level.

It is a measure of the weight that all the air in a column vertically above the area of Earth's surface would have at that point, if the point were located at the mean sea level. It is calculated over all surfaces - land, sea and in-land water.

Maps of mean sea level pressure are used to identify the locations of low and high pressure systems, often referred to as cyclones and anticyclones. Contours of mean sea level pressure also indicate the strength of the wind. Tightly packed contours show stronger winds.

The units of this parameter are pascals (Pa). Mean sea level pressure is often measured in hPa and sometimes is presented in the old units of millibars, mb (1 hPa = 1 mb = 100 Pa). access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id158 - &id163 class: ai stream: enfo type: em levtype: sfc - &id164 class: ai stream: enfo type: es levtype: sfc - *id159 - *id160 - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id123 - *id124 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id125 - *id126 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 152 shortname: lnsp longname: Logarithm of surface pressure units: Numeric description: This parameter is the natural logarithm of pressure (force per unit area) of the atmosphere on the surface of land, sea and inland water. Numerical weather prediction models often utilise the logarithm of surface pressure in their calculations. access_ids: - dissemination origin_ids: - -80 - -60 - -50 - 98 table: 128 mars_request_context: - *id105 - *id106 - *id107 - *id001 - *id108 - *id003 - *id109 - *id004 - *id110 - *id006 - *id111 - *id133 - *id112 - *id134 - *id037 - *id038 - *id113 - *id013 - *id039 - *id114 - *id014 - *id155 - *id115 - *id016 - *id156 - *id116 - *id017 - *id117 - *id137 - *id118 - *id138 - *id119 - *id018 - *id149 - *id150 - *id157 - *id120 - *id139 - *id121 - *id140 - *id122 - *id019 - id: 153 shortname: swhr longname: Short-wave heating rate units: K description: Accumulated field access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 154 shortname: lwhr longname: Long-wave heating rate units: K description: Accumulated field access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 155 shortname: d longname: Divergence units: s**-1 description: This parameter is the horizontal divergence of velocity. It is the rate at which air is spreading out horizontally from a point, per square metre. This parameter is positive for air that is spreading out, or diverging, and negative for the opposite, for air that is concentrating, or converging (convergence). access_ids: - dissemination origin_ids: - -80 - 0 - 34 - 98 table: 128 mars_request_context: - *id105 - *id106 - *id107 - *id001 - *id095 - *id002 - *id108 - *id003 - *id096 - *id109 - *id004 - *id097 - *id005 - *id110 - *id006 - *id098 - *id111 - *id133 - *id073 - *id112 - *id134 - *id075 - *id113 - *id013 - *id099 - *id114 - *id014 - *id100 - *id015 - *id155 - *id115 - *id016 - *id101 - *id156 - *id116 - *id017 - *id102 - *id117 - *id137 - *id082 - *id118 - *id138 - *id084 - *id119 - *id018 - *id103 - *id149 - *id150 - *id157 - *id151 - *id152 - *id153 - *id120 - *id139 - *id087 - *id121 - *id140 - *id089 - *id122 - *id019 - *id104 - id: 156 shortname: gh longname: Geopotential height units: gpm description: This parameter is a measure of the height of a point in the atmosphere in relation to its potential energy. It is calculated by dividing the geopotential by the Earth's mean gravitational acceleration, g (=9.80665 m s-2). The geopotential is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. Geopotential is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

This parameter plays an important role in synoptic meteorology (analysis of weather patterns). Charts of geopotential height plotted at constant pressure levels (e.g., 300, 500 or 850 hPa) can be used to identify weather systems such as cyclones, anticyclones, troughs and ridges. At the surface of the Earth, this parameter shows the variations in geopotential height of the surface, and is often referred to as the orography.

The units of this parameter are geopotential metres. A geopotential metre is approximately 2% shorter than a geometric metre. access_ids: - dissemination origin_ids: - 0 - 34 - 98 table: 128 mars_request_context: - *id141 - *id158 - *id127 - *id128 - *id142 - *id159 - *id143 - *id160 - *id105 - *id129 - *id041 - *id106 - *id130 - *id040 - *id107 - *id001 - *id069 - *id020 - *id002 - *id108 - *id003 - *id070 - *id021 - *id109 - *id004 - *id071 - *id022 - *id131 - *id132 - *id005 - *id110 - *id006 - *id072 - *id023 - *id007 - *id008 - *id144 - *id145 - *id009 - *id010 - *id146 - *id147 - *id011 - *id012 - *id111 - *id133 - *id074 - *id024 - *id112 - *id134 - *id076 - *id034 - *id037 - *id038 - *id113 - *id013 - *id077 - *id025 - *id039 - *id114 - *id014 - *id078 - *id026 - *id015 - *id079 - *id115 - *id016 - *id080 - *id027 - *id161 - *id162 - *id135 - *id136 - *id116 - *id017 - *id081 - *id028 - *id117 - *id137 - *id083 - *id029 - *id118 - *id138 - *id085 - *id035 - *id119 - *id018 - *id086 - *id030 - *id149 - *id150 - *id031 - *id151 - *id152 - *id153 - *id120 - *id139 - *id088 - *id032 - *id121 - *id140 - *id090 - *id036 - *id122 - *id019 - *id091 - *id033 - id: 157 shortname: r longname: Relative humidity units: '%' description: This parameter is the water vapour pressure as a percentage of the value at which the air becomes saturated (the point at which water vapour begins to condense into liquid water or deposition into ice).

For temperatures over 0°C (273.15 K) it is calculated for saturation over water. At temperatures below -23°C it is calculated for saturation over ice. Between -23°C and 0°C this parameter is calculated by interpolating between the ice and water values using a quadratic function.

See more information about the model's relative humidity calculation. access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id129 - *id001 - *id003 - *id004 - *id006 - *id133 - *id134 - *id037 - *id038 - *id013 - *id039 - *id014 - *id016 - *id017 - *id148 - *id137 - *id138 - *id018 - *id139 - *id140 - *id019 - *id154 - id: 158 shortname: tsp longname: Tendency of surface pressure units: Pa s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 159 shortname: blh longname: Boundary layer height units: m description: This parameter is the depth of air next to the Earth's surface which is most affected by the resistance to the transfer of momentum, heat or moisture across the surface.

The boundary layer height can be as low as a few tens of metres, such as in cooling air at night, or as high as several kilometres over the desert in the middle of a hot sunny day. When the boundary layer height is low, higher concentrations of pollutants (emitted from the Earth's surface) can develop.

The boundary layer height calculation is based on the bulk Richardson number (a measure of the atmospheric conditions) following the conclusions of a 2012 review. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id033 - id: 160 shortname: sdor longname: Standard deviation of sub-gridscale orography units: m description: This parameter is one of four parameters (the others being angle of sub-gridscale orography, slope and anisotropy) that describe the features of the orography that are too small to be resolved by the model grid. These four parameters are calculated for orographic features with horizontal scales comprised between 5 km and the model grid resolution, being derived from the height of valleys, hills and mountains at about 1 km resolution. They are used as input for the sub-grid orography scheme which represents low-level blocking and orographic gravity wave effects.

This parameter represents the standard deviation of the height of the sub-grid valleys, hills and mountains within a grid box. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 161 shortname: isor longname: Anisotropy of sub-gridscale orography units: Numeric description: This parameter is one of four parameters (the others being standard deviation, slope and angle of sub-gridscale orography) that describe the features of the orography that are too small to be resolved by the model grid. These four parameters are calculated for orographic features with horizontal scales comprised between 5 km and the model grid resolution, being derived from the height of valleys, hills and mountains at about 1 km resolution. They are used as input for the sub-grid orography scheme which represents low-level blocking and orographic gravity wave effects.

This parameter is a measure of how much the shape of the terrain in the horizontal plane (from a bird's-eye view) is distorted from a circle.

A value of one is a circle, less than one an ellipse, and 0 is a ridge. In the case of a ridge, wind blowing parallel to it does not exert any drag on the flow, but wind blowing perpendicular to it exerts the maximum drag. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 162 shortname: anor longname: Angle of sub-gridscale orography units: radians description: This parameter is one of four parameters (the others being standard deviation, slope and anisotropy) that describe the features of the orography that are too small to be resolved by the model grid. These four parameters are calculated for orographic features with horizontal scales comprised between 5 km and the model grid resolution, being derived from the height of valleys, hills and mountains at about 1 km resolution. They are used as input for the sub-grid orography scheme which represents low-level blocking and orographic gravity wave effects.

The angle of the sub-grid scale orography characterises the geographical orientation of the terrain in the horizontal plane (from a bird's-eye view) relative to an eastwards axis. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 163 shortname: slor longname: Slope of sub-gridscale orography units: Numeric description: This parameter is one of four parameters (the others being standard deviation, angle and anisotropy) that describe the features of the orography that are too small to be resolved by the model grid. These four parameters are calculated for orographic features with horizontal scales comprised between 5 km and the model grid resolution, being derived from the height of valleys, hills and mountains at about 1 km resolution. They are used as input for the sub-grid orography scheme which represents low-level blocking and orographic gravity wave effects.

This parameter represents the slope of the sub-grid valleys, hills and mountains. A flat surface has a value of 0, and a 45 degree slope has a value of 0.5. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 164 shortname: tcc longname: Total cloud cover units: (0 - 1) description: 'This parameter is the proportion of a grid box covered by cloud. Total cloud cover is a single level field calculated from the cloud occurring at different model levels through the atmosphere. Assumptions are made about the degree of overlap/randomness between clouds at different heights.

Cloud fractions vary from 0 to 1.
[NOTE: See 228164 for the equivalent parameter in "%"]' access_ids: - dissemination origin_ids: - -90 - -80 - -70 - -50 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - &id165 class: od stream: eefo type: ed levtype: sfc - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 165 shortname: 10u longname: 10 metre U wind component units: m s**-1 description: This parameter is the eastward component of the 10m wind. It is the horizontal speed of air moving towards the east, at a height of ten metres above the surface of the Earth, in metres per second.

Care should be taken when comparing this parameter with observations, because wind observations vary on small space and time scales and are affected by the local terrain, vegetation and buildings that are represented only on average in the ECMWF Integrated Forecasting System.

This parameter can be combined with the V component of 10m wind to give the speed and direction of the horizontal 10m wind. access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 166 shortname: 10v longname: 10 metre V wind component units: m s**-1 description: This parameter is the northward component of the 10m wind. It is the horizontal speed of air moving towards the north, at a height of ten metres above the surface of the Earth, in metres per second.

Care should be taken when comparing this parameter with observations, because wind observations vary on small space and time scales and are affected by the local terrain, vegetation and buildings that are represented only on average in the ECMWF Integrated Forecasting System.

This parameter can be combined with the U component of 10m wind to give the speed and direction of the horizontal 10m wind. access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 167 shortname: 2t longname: 2 metre temperature units: K description: This parameter is the temperature of air at 2m above the surface of land, sea or in-land waters.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

Please note that the encodings listed here for s2s & uerra (which includes encodings for carra/cerra) include entries for Mean 2 metre temperature. The specific encoding for Mean 2 metre temperature can be found in 228004. access_ids: - dissemination origin_ids: - -40 - -30 - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id158 - *id163 - *id164 - *id159 - *id160 - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id165 - *id123 - *id124 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id125 - *id126 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 168 shortname: 2d longname: 2 metre dewpoint temperature units: K description: This parameter is the temperature to which the air, at 2 metres above the surface of the Earth, would have to be cooled for saturation to occur.

It is a measure of the humidity of the air. Combined with temperature and pressure, it can be used to calculate the relative humidity.

2m dew point temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - -40 - -30 - 0 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id041 - *id040 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 169 shortname: ssrd longname: Surface short-wave (solar) radiation downwards units: J m**-2 description: This parameter is the amount of solar radiation (also known as shortwave radiation) that reaches a horizontal plane at the surface of the Earth. This parameter comprises both direct and diffuse solar radiation.

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface (represented by this parameter). See further documentation.

To a reasonably good approximation, this parameter is the model equivalent of what would be measured by a pyranometer (an instrument used for measuring solar radiation) at the surface. However, care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id030 - *id031 - *id032 - *id033 - *id068 - id: 170 shortname: stl2 longname: Soil temperature level 2 units: K description: 'This parameter is the temperature of the soil at level 2 (in the middle of layer 2).

The ECMWF Integrated Forecasting System (IFS) has a four-layer representation of soil, where the surface is at 0cm:

Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of Kelvin (K). Temperature measured in Kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id024 - *id034 - *id066 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 171 shortname: swl2 longname: Soil wetness level 2 units: m of water equivalent description: Old field Layer 7-28 cm (new soil moisture is archived as field 40). Deep soil wetness (DSW) before 19930804. Water column scaled to depth of surf layer (7 cm). access_ids: [] origin_ids: - 98 table: 128 mars_request_context: - *id066 - id: 172 shortname: lsm longname: Land-sea mask units: (0 - 1) description: 'This parameter is the proportion of land, as opposed to ocean or inland waters (lakes, reservoirs, rivers and coastal waters), in a grid box.
This parameter has values ranging between zero and one and is dimensionless.
In cycles of the ECMWF Integrated Forecasting System (IFS) from CY41R1 (introduced in May 2015) onwards, grid boxes where this parameter has a value above 0.5 can be comprised of a mixture of land and inland water but not ocean. Grid boxes with a value of 0.5 and below can only be comprised of a water surface. In the latter case, the lake cover is used to determine how much of the water surface is ocean or inland water.
In cycles of the IFS before CY41R1, grid boxes where this parameter has a value above 0.5 can only be comprised of land and those grid boxes with a value of 0.5 and below can only be comprised of ocean. In these older model cycles, there is no differentiation between ocean and inland water.' access_ids: - dissemination origin_ids: - 0 - 34 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id032 - *id036 - *id033 - *id068 - id: 173 shortname: sr longname: Surface roughness (climatological) units: m description: Aerodynamic roughness length (over land). Climatological field. access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 174 shortname: al longname: Albedo (climatological) units: (0 - 1) description: 'This parameter is a measure of the reflectivity of the Earth''s surface. It is the fraction of solar (shortwave) radiation reflected by Earth''s surface, across the solar spectrum, for both direct and diffuse radiation.

This parameter is a climatological (observed values averaged over a period of several years) background albedo which varies through the year and which excludes values over snow and sea-ice. Over land, values are typically between about 0.1 and 0.4 and the ocean has low values of 0.1 or less.

Note: this parameter is a very old broadband albedo climatology that has since been replaced by a MODIS climatology in two spectral bands (see parameters 210186 to 210191).

Radiation from the Sun (also known as solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth''s surface, where some of it is reflected. The portion that is reflected by the Earth''s surface depends on the albedo. See further documentation.

This parameter is calculated as a fraction (0 - 1), but albedo is sometimes shown as a percentage (%).' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 175 shortname: strd longname: Surface long-wave (thermal) radiation downwards units: J m**-2 description: This parameter is the amount of thermal (also known as longwave or terrestrial) radiation emitted by the atmosphere and clouds that reaches a horizontal plane at the surface of the Earth.

The surface of the Earth emits thermal radiation, some of which is absorbed by the atmosphere and clouds. The atmosphere and clouds likewise emit thermal radiation in all directions, some of which reaches the surface (represented by this parameter). See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id031 - *id032 - *id033 - id: 176 shortname: ssr longname: Surface net short-wave (solar) radiation units: J m**-2 description: This parameter is the amount of solar radiation (also known as shortwave radiation) that reaches a horizontal plane at the surface of the Earth (both direct and diffuse) minus the amount reflected by the Earth's surface (which is governed by the albedo).

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The remainder is incident on the Earth's surface, where some of it is reflected. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id031 - *id032 - *id033 - id: 177 shortname: str longname: Surface net long-wave (thermal) radiation units: J m**-2 description: Thermal radiation (also known as longwave or terrestrial radiation) refers to radiation emitted by the atmosphere, clouds and the surface of the Earth. This parameter is the difference between downward and upward thermal radiation at the surface of the Earth. It the amount passing through a horizontal plane.

The atmosphere and clouds emit thermal radiation in all directions, some of which reaches the surface as downward thermal radiation. The upward thermal radiation at the surface consists of thermal radiation emitted by the surface plus the fraction of downwards thermal radiation reflected upward by the surface. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 178 shortname: tsr longname: Top net short-wave (solar) radiation units: J m**-2 description: This parameter is the incoming solar radiation (also known as shortwave radiation) minus the outgoing solar radiation at the top of the atmosphere. It is the amount of radiation passing through a horizontal plane. The incoming solar radiation is the amount received from the Sun. The outgoing solar radiation is the amount reflected and scattered by the Earth's atmosphere and surface. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - -20 - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 179 shortname: ttr longname: Top net long-wave (thermal) radiation units: J m**-2 description: The thermal (also known as terrestrial or longwave) radiation emitted to space at the top of the atmosphere is commonly known as the Outgoing Longwave Radiation (OLR). The top net thermal radiation (this parameter) is equal to the negative of OLR. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 180 shortname: ewss longname: Time-integrated eastward turbulent surface stress units: N m**-2 s description: Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the accumulated stress on the Earth's surface in the eastward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag. The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface. The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.

Positive (negative) values denote stress in the eastward (westward) direction.

This parameter is accumulated over a particular time period which depends on the data extracted. access_ids: - dissemination origin_ids: - -40 - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 181 shortname: nsss longname: Time-integrated northward turbulent surface stress units: N m**-2 s description: Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the accumulated stress on the Earth's surface in the northward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.

Positive (negative) values denote stress in the northward (southward) direction.

This parameter is accumulated over a particular time period which depends on the data extracted. access_ids: - dissemination origin_ids: - -40 - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 182 shortname: e longname: Evaporation units: m of water equivalent description: 'This parameter is the accumulated amount of water that has evaporated from the Earth''s surface, including a simplified representation of transpiration (from vegetation), into vapour in the air above.

This parameter is accumulated over a particular time period which depends on the data extracted.

The ECMWF Integrated Forecasting System convention is that downward fluxes are positive. Therefore, negative values indicate evaporation and positive values indicate condensation.
[NOTE: See 260259 for the equivalent parameter in "kg m-2"]' access_ids: - dissemination origin_ids: - -90 - -80 - -70 - -50 - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 183 shortname: stl3 longname: Soil temperature level 3 units: K description: 'This parameter is the temperature of the soil at level 3 (in the middle of layer 3).

The ECMWF Integrated Forecasting System (IFS) has a four-layer representation of soil, where the surface is at 0cm:

Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of Kelvin (K). Temperature measured in Kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id066 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 184 shortname: swl3 longname: Soil wetness level 3 units: m of water equivalent description: Old field Layer 28-100 cm (new soil moisture is archived as field 41). Climatological deep soil wetness (CDSW) before 19930804. Water column scaled to depth of surf layer (7 cm). access_ids: [] origin_ids: - 98 table: 128 mars_request_context: - *id066 - id: 185 shortname: ccc longname: Convective cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 186 shortname: lcc longname: Low cloud cover units: (0 - 1) description: 'This parameter is the proportion of a grid box covered by cloud occurring in the lower levels of the troposphere. Low cloud is a single level field calculated from cloud occurring on model levels with a pressure greater than 0.8 times the surface pressure. So, if the surface pressure is 1000 hPa (hectopascal), low cloud would be calculated using levels with a pressure greater than 800 hPa (below approximately 2km (assuming a ''standard atmosphere'')).

The low cloud cover parameter is calculated from cloud cover for the appropriate model levels as described above. Assumptions are made about the degree of overlap/randomness between clouds in different model levels.

Cloud fractions vary from 0 to 1.
[NOTE: See 3073 for the equivalent parameter in "%"]' access_ids: - dissemination origin_ids: - -90 - -80 - -70 - -50 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 187 shortname: mcc longname: Medium cloud cover units: (0 - 1) description: 'This parameter is the proportion of a grid box covered by cloud occurring in the middle levels of the troposphere. Medium cloud is a single level field calculated from cloud occurring on model levels with a pressure between 0.45 and 0.8 times the surface pressure. So, if the surface pressure is 1000 hPa (hectopascal), medium cloud would be calculated using levels with a pressure of less than or equal to 800 hPa and greater than or equal to 450 hPa (between approximately 2km and 6km (assuming a ''standard atmosphere'')).

The medium cloud parameter is calculated from cloud cover for the appropriate model levels as described above. Assumptions are made about the degree of overlap/randomness between clouds in different model levels.

Cloud fractions vary from 0 to 1.
[NOTE: See 3074 for the equivalent parameter in "%"]' access_ids: - dissemination origin_ids: - -90 - -80 - -50 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - *id068 - id: 188 shortname: hcc longname: High cloud cover units: (0 - 1) description: 'The proportion of a grid box covered by cloud occurring in the high levels of the troposphere. High cloud is a single level field calculated from cloud occurring on model levels with a pressure less than 0.45 times the surface pressure. So, if the surface pressure is 1000 hPa (hectopascal), high cloud would be calculated using levels with a pressure of less than 450 hPa (approximately 6km and above ( assuming a `standard atmosphere`)).

The high cloud cover parameter is calculated from cloud for the appropriate model levels as described above. Assumptions are made about the degree of overlap/randomness between clouds in different model levels.

Cloud fractions vary from 0 to 1.
[NOTE: See 3075 for the equivalent parameter in "%"]' access_ids: - dissemination origin_ids: - -90 - -80 - -50 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - *id068 - id: 189 shortname: sund longname: Sunshine duration units: s description: This parameter is the length of time in which the direct solar (shortwave) radiation at the Earth's surface, falling on a plane perpendicular to the direction of the Sun, is greater than or equal to 120 W m-2.

The minimum solar intensity level of 120 W m-2 is defined by the World Meteorological Organisation and is consistent with observed values of sunshine duration from a Campbell-Stokes recorder (sometimes called a Stokes sphere) that can only measure moderately intense sunlight and brighter.

This parameter is accumulated over a particular time period which depends on the data extracted. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id067 - *id030 - *id031 - *id033 - *id068 - id: 190 shortname: ewov longname: East-West component of sub-gridscale orographic variance units: m**2 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 191 shortname: nsov longname: North-South component of sub-gridscale orographic variance units: m**2 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 192 shortname: nwov longname: North-West/South-East component of sub-gridscale orographic variance units: m**2 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 193 shortname: neov longname: North-East/South-West component of sub-gridscale orographic variance units: m**2 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 194 shortname: btmp longname: Brightness temperature units: K description: null access_ids: [] origin_ids: - 0 - 34 - 98 table: 128 mars_request_context: - class: od stream: elda type: em levtype: sfc - *id066 - class: od stream: elda type: ses levtype: sfc - id: 195 shortname: lgws longname: Eastward gravity wave surface stress units: N m**-2 s description: Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the component of the surface stress, in an eastward direction, associated with low-level blocking and orographic gravity waves. It is calculated by the ECMWF Integrated Forecasting System sub-grid orography scheme. It represents surface stress due to unresolved valleys, hills and mountains with horizontal scales between 5 km and the model grid. (The surface stress associated with orographic features with horizontal scales smaller than 5 km is accounted for by the turbulent orographic form drag scheme).

Orographic gravity waves are oscillations in the flow maintained by the buoyancy of displaced air parcels, produced when the air is deflected upwards by hills and mountains. Hills and mountains can also block the flow of air at low levels. Together these processes can create a drag or stress on the atmosphere at the Earth's surface (and at other levels in the atmosphere).

This parameter is accumulated over a particular time period which depends on the data extracted. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id032 - *id033 - id: 196 shortname: mgws longname: Northward gravity wave surface stress units: N m**-2 s description: Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the component of the surface stress, in a northward direction, associated with low-level blocking and orographic gravity waves. It is calculated by the ECMWF Integrated Forecasting System sub-grid orography scheme. It represents surface stress due to unresolved valleys, hills and mountains with horizontal scales between 5 km and the model grid. (The surface stress associated with orographic features with horizontal scales smaller than 5 km is accounted for by the turbulent orographic form drag scheme). The stress computed in the sub-grid orography scheme is associated with low-level blocking and orographic gravity waves.

Orographic gravity waves are oscillations in the flow maintained by the buoyancy of displaced air parcels, produced when the air is deflected upwards by hills and mountains. Hills and mountains can also block the flow of air at low levels. Together these processes can create a drag or stress on the atmosphere at the Earth's surface (and at other levels in the atmosphere).

This parameter is accumulated over a particular time period which depends on the data extracted. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id032 - *id033 - id: 197 shortname: gwd longname: Gravity wave dissipation units: J m**-2 description: This parameter is the amount of energy per unit area that is converted from kinetic energy in the mean flow, into heat, due to the effects of orographic gravity waves. A higher value of this parameter means that more energy is being converted to heat, and so the mean flow is slowing more and the air temperature is rising by a greater amount.

Orographic gravity waves are oscillations in the flow maintained by the buoyancy of displaced air parcels, produced when the air is deflected upwards by hills and mountains. Hills and mountains can also block the flow of air at low levels. Together these processes can create a drag or stress on the atmosphere at the Earth's surface (and at other levels in the atmosphere).

This parameter is accumulated over a particular time period which depends on the data extracted. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id032 - *id033 - id: 198 shortname: src longname: Skin reservoir content units: m of water equivalent description: This parameter is the amount of water in the vegetation canopy and/or in a thin layer on the soil.

It represents the amount of rain intercepted by foliage, and water from dew. The maximum amount of 'skin reservoir content' a grid box can hold depends on the type of vegetation, and may be zero. Water leaves the 'skin reservoir' by evaporation.

See further information. access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 199 shortname: veg longname: Vegetation fraction units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 200 shortname: vso longname: Variance of sub-gridscale orography units: m**2 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 201 shortname: mx2t longname: Maximum temperature at 2 metres since previous post-processing units: K description: This parameter is the highest temperature of air at 2m above the surface of land, sea or in-land waters since the parameter was last archived in a particular forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - -20 - 0 - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id092 - *id093 - *id094 - *id064 - *id065 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 202 shortname: mn2t longname: Minimum temperature at 2 metres since previous post-processing units: K description: This parameter is the lowest temperature of air at 2m above the surface of land, sea or in-land waters since the parameter was last archived in a particular forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - -20 - 0 - 98 table: 128 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id092 - *id093 - *id094 - *id064 - *id065 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id031 - *id033 - id: 203 shortname: o3 longname: Ozone mass mixing ratio units: kg kg**-1 description: This parameter is the mass of ozone per kilogram of air.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation.

Naturally occurring ozone in the stratosphere helps protect organisms at the surface of the Earth from the harmful effects of ultraviolet (UV) radiation from the Sun. Ozone near the surface, often produced because of pollution, is harmful to organisms.

Most of the IFS chemical species are archived as mass mixing ratios [kg kg-1]. This link explains how to convert to concentration in terms of mass per unit volume. access_ids: - dissemination origin_ids: - -80 - 0 - 98 table: 128 mars_request_context: - *id107 - *id001 - *id095 - *id069 - *id108 - *id003 - *id096 - *id070 - *id109 - *id004 - *id097 - *id071 - *id110 - *id006 - *id098 - *id072 - *id111 - *id133 - *id073 - *id074 - *id112 - *id134 - *id075 - *id076 - *id037 - *id038 - *id113 - *id013 - *id099 - *id077 - *id039 - *id114 - *id014 - *id100 - *id078 - *id079 - *id115 - *id016 - *id101 - *id080 - *id116 - *id017 - *id102 - *id081 - *id117 - *id137 - *id082 - *id083 - *id118 - *id138 - *id084 - *id085 - *id119 - *id018 - *id103 - *id086 - *id150 - *id151 - *id152 - *id153 - *id120 - *id139 - *id087 - *id088 - *id121 - *id140 - *id089 - *id090 - *id122 - *id019 - *id104 - *id091 - id: 204 shortname: paw longname: Precipitation analysis weights units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 205 shortname: ro longname: Runoff units: m description: 'Some water from rainfall, melting snow, or deep in the soil, stays stored in the soil. Otherwise, the water drains away, either over the surface (surface runoff), or under the ground (sub-surface runoff) and the sum of these two is simply called ''runoff''. This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted.The units of runoff are depth in metres. This is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point rather than averaged over a grid square area. Observations are also often taken in different units, such as mm/day, rather than the accumulated metres produced here.

Runoff is a measure of the availability of water in the soil, and can, for example, be used as an indicator of drought or flood. More information about how runoff is calculated is given in the IFS Physical Processes documentation.
[NOTE: See 231002 for the equivalent parameter in "kg m-2"]' access_ids: - dissemination origin_ids: - -80 - -70 - -50 - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id031 - *id032 - *id033 - id: 206 shortname: tco3 longname: Total column ozone units: kg m**-2 description: "This parameter is the total amount of ozone in a column of air extending\ \ from the surface of the Earth to the top of the atmosphere. This parameter can\ \ also be referred to as total ozone, or vertically integrated ozone. The values\ \ are dominated by ozone within the stratosphere.

In the ECMWF Integrated\ \ Forecasting System (IFS), there is a simplified representation of ozone chemistry\ \ (including representation of the chemistry which has caused the ozone hole).\ \ Ozone is also transported around in the atmosphere through the motion of air.\ \ See further documentation .

Naturally occurring ozone in the stratosphere\ \ helps protect organisms at the surface of the Earth from the harmful effects\ \ of ultraviolet (UV) radiation from the Sun. Ozone near the surface, often produced\ \ because of pollution, is harmful to organisms.

In the IFS, the units\ \ for total ozone are kilograms per square metre, but before 12/06/2001 dobson\ \ units were used. Dobson units (DU) are still used extensively for total column\ \ ozone. 1 DU = 2.1415E-5 kg m-2\r\n\r\n[NOTE: See 260132 for the equivalent\ \ parameter in 'DU']" access_ids: - dissemination origin_ids: - -80 - -50 - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - id: 207 shortname: 10si longname: 10 metre wind speed units: m s**-1 description: This parameter is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth. The units of this parameter are metres per second.

Care should be taken when comparing this parameter with observations, because wind observations vary on small space and time scales and are affected by the local terrain, vegetation and buildings that are represented only on average in the ECMWF Integrated Forecasting System.

The eastward and northward components of the horizontal wind at 10m are also available as parameters. access_ids: - dissemination origin_ids: - -20 - 0 - 98 table: 128 mars_request_context: - *id163 - *id164 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id165 - *id123 - *id124 - *id046 - *id047 - *id048 - *id049 - *id023 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id125 - *id126 - *id028 - *id030 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id033 - id: 208 shortname: tsrc longname: Top net short-wave (solar) radiation, clear sky units: J m**-2 description: This parameter is the incoming solar radiation (also known as shortwave radiation) minus the outgoing solar radiation at the top of the atmosphere, assuming clear-sky (cloudless) conditions. It is the amount of radiation passing through a horizontal plane. The incoming solar radiation is the amount received from the Sun. The outgoing solar radiation is the amount reflected and scattered by the Earth's atmosphere and surface, assuming clear-sky (cloudless) conditions. See further documentation.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as the total-sky (clouds included) quantities, but assuming that the clouds are not there.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id025 - *id030 - *id033 - id: 209 shortname: ttrc longname: Top net long-wave (thermal) radiation, clear sky units: J m**-2 description: This parameter is the thermal (also known as terrestrial or longwave) radiation emitted to space at the top of the atmosphere, assuming clear-sky (cloudless) conditions. It is the amount passing through a horizontal plane. Note that the ECMWF convention for vertical fluxes is positive downwards, so a flux from the atmosphere to space will be negative. See further documentation.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as total-sky quantities (clouds included), but assuming that the clouds are not there.

The thermal radiation emitted to space at the top of the atmosphere is commonly known as the Outgoing Longwave Radiation (OLR) (i.e., taking a flux from the atmosphere to space as positive). Note that OLR is typically shown in units of watts per square metre (W m-2).

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id025 - *id030 - *id033 - id: 210 shortname: ssrc longname: Surface net short-wave (solar) radiation, clear sky units: J m**-2 description: This parameter is the amount of solar (shortwave) radiation reaching the surface of the Earth (both direct and diffuse) minus the amount reflected by the Earth's surface (which is governed by the albedo), assuming clear-sky (cloudless) conditions. It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as the corresponding total-sky quantities (clouds included), but assuming that the clouds are not there.

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth's surface, where some of it is reflected. The difference between downward and reflected solar radiation is the surface net solar radiation. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 211 shortname: strc longname: Surface net long-wave (thermal) radiation, clear sky units: J m**-2 description: 'Thermal radiation (also known as longwave or terrestrial radiation) refers to radiation emitted by the atmosphere, clouds and the surface of the Earth. This parameter is the difference between downward and upward thermal radiation at the surface of the Earth, assuming clear-sky (cloudless) conditions. It is the amount of radiation passing through a horizontal plane. See further documentation.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as the corresponding total-sky quantities (clouds included), but assuming that the clouds are not there.

The atmosphere and clouds emit thermal radiation in all directions, some of which reaches the surface as downward thermal radiation. The upward thermal radiation at the surface consists of thermal radiation emitted by the surface plus the fraction of downwards thermal radiation reflected upward by the surface. See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards. ' access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id025 - *id030 - *id033 - id: 212 shortname: tisr longname: TOA incident short-wave (solar) radiation units: J m**-2 description: Accumulated field access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id025 - *id030 - *id031 - *id033 - id: 213 shortname: vimd longname: Vertically integrated moisture divergence units: kg m**-2 description: The vertical integral of the moisture flux is the horizontal rate of flow of moisture (water vapour, cloud liquid and cloud ice), per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of moisture spreading outward from a point, per square metre.

This parameter is accumulated over a particular time period which depends on the data extracted

This parameter is positive for moisture that is spreading out, or diverging, and negative for the opposite, for moisture that is concentrating, or converging (convergence). This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of moisture, over the time period. High negative values of this parameter (i.e. large moisture convergence) can be related to precipitation intensification and floods.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id040 - *id025 - *id030 - *id033 - id: 214 shortname: dhr longname: Diabatic heating by radiation units: K description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 215 shortname: dhvd longname: Diabatic heating by vertical diffusion units: K description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 216 shortname: dhcc longname: Diabatic heating by cumulus convection units: K description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 217 shortname: dhlc longname: Diabatic heating large-scale condensation units: K description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 218 shortname: vdzw longname: Vertical diffusion of zonal wind units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 219 shortname: vdmw longname: Vertical diffusion of meridional wind units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 220 shortname: ewgd longname: East-West gravity wave drag tendency units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 221 shortname: nsgd longname: North-South gravity wave drag tendency units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 222 shortname: ctzw longname: Convective tendency of zonal wind units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 223 shortname: ctmw longname: Convective tendency of meridional wind units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 224 shortname: vdh longname: Vertical diffusion of humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 225 shortname: htcc longname: Humidity tendency by cumulus convection units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 226 shortname: htlc longname: Humidity tendency by large-scale condensation units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 227 shortname: crnh longname: Tendency due to removal of negative humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 228 shortname: tp longname: Total precipitation units: m description: "This parameter is the accumulated liquid and frozen water, comprising\ \ rain and snow, that falls to the Earth's surface. It is the sum of large-scale\ \ precipitation and convective precipitation. Large-scale precipitation is generated\ \ by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud\ \ scheme represents the formation and dissipation of clouds and large-scale precipitation\ \ due to changes in atmospheric quantities (such as pressure, temperature and\ \ moisture) predicted directly by the IFS at spatial scales of the grid\ \ box or larger. Convective precipitation is generated by the convection scheme\ \ in the IFS, which represents convection at spatial scales smaller than the grid\ \ box. See\ \ further information. This parameter does not include fog, dew or the precipitation\ \ that evaporates in the atmosphere before it lands at the surface of the Earth.\ \

This parameter is the total amount of water accumulated\ \ over a particular time period which depends on the data extracted. The units\ \ of this parameter are depth in metres of water equivalent. It is the depth the\ \ water would have if it were spread evenly over the grid box.

Care\ \ should be taken when comparing model parameters with observations, because observations\ \ are often local to a particular point in space and time, rather than representing\ \ averages over a model grid box.\r\n\r\n[NOTE: See 228228 for the equivalent\ \ parameter in \"kg m-2\"]" access_ids: - dissemination origin_ids: - -90 - -80 - -70 - -50 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id165 - *id023 - &id242 class: od stream: eehs type: cd levtype: sfc - &id243 class: od stream: eehs type: em levtype: sfc - &id244 class: od stream: eehs type: es levtype: sfc - *id092 - *id093 - *id094 - *id024 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id030 - *id031 - *id032 - *id033 - *id068 - id: 229 shortname: iews longname: Instantaneous eastward turbulent surface stress units: N m**-2 description: Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the stress on the Earth's surface at the specified time in the eastward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.

Positive (negative) values denote stress in the eastward (westward) direction. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id024 - *id034 - *id025 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - id: 230 shortname: inss longname: Instantaneous northward turbulent surface stress units: N m**-2 description: Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is the stress on the Earth's surface at the specified time in the northward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information.

Positive (negative) values denote stress in the northward (southward) direction. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id024 - *id034 - *id025 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - id: 231 shortname: ishf longname: Instantaneous surface sensible heat net flux units: W m**-2 description:

This parameter is the transfer of heat between the Earth's surface and the atmosphere, at the specified time, through the effects of turbulent air motion (but excluding any heat transfer resulting from condensation or evaporation).

The magnitude of the sensible heat flux is governed by the difference in temperature between the surface and the overlying atmosphere, wind speed and the surface roughness. For example, cold air overlying a warm surface would produce a sensible heat flux from the land (or ocean) into the atmosphere.The ECMWF convention for vertical fluxes is positive downwards. See further documentation.

access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id025 - *id030 - *id033 - id: 232 shortname: ie longname: Instantaneous moisture flux units: kg m**-2 s**-1 description: This parameter is the net rate of moisture exchange between the land/ocean surface and the atmosphere, due to the processes of evaporation (including evapotranspiration) and condensation, at the specified time. By convention, downward fluxes are positive, which means that evaporation is represented by negative values and condensation by positive values. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id025 - *id030 - *id033 - id: 233 shortname: asq longname: Apparent surface humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 234 shortname: lsrh longname: Logarithm of surface roughness length for heat (climatological) units: Numeric description: Represents surface roughness length for heat and moisture over land. Climatological field. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 235 shortname: skt longname: Skin temperature units: K description:

This parameter is the temperature of the surface of the Earth.

The skin temperature is the theoretical temperature that is required to satisfy the surface energy balance. It represents the temperature of the uppermost surface layer, which has no heat capacity and so can respond instantaneously to changes in surface fluxes. Skin temperature is calculated differently over land and sea.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information about the skin temperature over land and over sea.

Please note that the encodings listed here for s2s & uerra (which includes carra/cerra) include entries for Time-mean skin temperature. The specific encoding for Mean skin temperature can be found in 235079.

access_ids: - dissemination origin_ids: - -40 - -20 - 0 - 98 table: 128 mars_request_context: - *id158 - *id159 - *id160 - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id066 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 236 shortname: stl4 longname: Soil temperature level 4 units: K description: 'This parameter is the temperature of the soil at level 4 (in the middle of layer 4).

The ECMWF Integrated Forecasting System (IFS) has a four-layer representation of soil, where the surface is at 0cm:

Layer 1: 0 - 7cm
Layer 2: 7 - 28cm
Layer 3: 28 - 100cm
Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of Kelvin (K). Temperature measured in Kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.' access_ids: - dissemination origin_ids: - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id066 - *id025 - *id026 - *id027 - *id028 - *id067 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - *id068 - id: 237 shortname: swl4 longname: Soil wetness level 4 units: m description: Old field Layer 100-289 cm (soil moisture is archived as field 42). Water column scaled to depth of surf layer (7 cm). access_ids: [] origin_ids: - 98 table: 128 mars_request_context: - *id066 - id: 238 shortname: tsn longname: Temperature of snow layer units: K description: This parameter gives the temperature of the snow layer from the ground to the snow-air interface.

The ECMWF Integrated Forecast System (IFS) model represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box.

See further information on snow in the IFS.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id166 - *id021 - *id167 - *id022 - *id168 - *id023 - *id169 - *id024 - *id034 - *id170 - *id025 - *id171 - *id026 - *id172 - *id027 - *id173 - *id028 - *id174 - *id029 - *id035 - *id175 - *id030 - *id176 - *id032 - *id036 - *id177 - *id033 - *id178 - id: 239 shortname: csf longname: Convective snowfall units: m of water equivalent description: Accumulated field access_ids: [] origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: [] - id: 240 shortname: lsf longname: Large-scale snowfall units: m of water equivalent description: Accumulated field access_ids: [] origin_ids: - -80 - -50 - 98 table: 128 mars_request_context: [] - id: 241 shortname: acf longname: Accumulated cloud fraction tendency units: (-1 to 1) description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 242 shortname: alw longname: Accumulated liquid water tendency units: (-1 to 1) description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 243 shortname: fal longname: Forecast albedo units: (0 - 1) description: 'This parameter is a measure of the reflectivity of the Earth''s surface. It is the fraction of solar (shortwave) radiation reflected by Earth''s surface, across the solar spectrum, for both direct and diffuse radiation. Typically, snow and ice have high reflectivity with albedo values of 0.8 and above, land has intermediate values between about 0.1 and 0.4 and the ocean has low values of 0.1 or less.

Radiation from the Sun (solar, or shortwave, radiation) is partly reflected back to space by clouds and particles in the atmosphere (aerosols) and some of it is absorbed. The rest is incident on the Earth''s surface, where some of it is reflected. The portion that is reflected by the Earth''s surface depends on the albedo. See further documentation .

In the ECMWF Integrated Forecasting System (IFS), a climatological background albedo (observed values averaged over a period of several years) is used, modified by the model over water, ice and snow.

Albedo is often shown as a percentage (%).
[NOTE: See 260509 for the equivalent parameter in ''%'']' access_ids: - dissemination origin_ids: - -80 - -70 - -50 - 98 table: 128 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id033 - id: 244 shortname: fsr longname: Forecast surface roughness units: m description: This parameter is the aerodynamic roughness length in metres.

It is a measure of the surface resistance. This parameter is used to determine the air to surface transfer of momentum. For given atmospheric conditions, a higher surface roughness causes a slower near-surface wind speed.

Over the ocean, surface roughness depends on the waves. Over the land, surface roughness is derived from the vegetation type and snow cover. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id032 - *id033 - id: 245 shortname: flsr longname: Forecast logarithm of surface roughness for heat units: Numeric description: This parameter is the natural logarithm of the roughness length for heat.

The surface roughness for heat is a measure of the surface resistance to heat transfer. This parameter is used to determine the air to surface transfer of heat. For given atmospheric conditions, a higher surface roughness for heat means that it is more difficult for the air to exchange heat with the surface. A lower surface roughness for heat that it is easier for the air to exchange heat with the surface.

Over the ocean, surface roughness for heat depends on the waves. Over sea-ice, it has a constant value of 0.001 m. Over the land, it is derived from the vegetation type and snow cover. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 128 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id025 - *id026 - *id027 - *id028 - *id029 - *id030 - *id032 - *id033 - id: 246 shortname: clwc longname: Specific cloud liquid water content units: kg kg**-1 description: This parameter is the mass of cloud liquid water droplets per kilogram of the total mass of moist air. The 'total mass of moist air' is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow. This parameter represents the average value for a grid box.

Water within clouds can be liquid or ice, or a combination of the two. See further information about the cloud formulation. access_ids: - dissemination origin_ids: - -80 - -20 - 0 - 98 table: 128 mars_request_context: - *id105 - *id106 - *id130 - *id107 - *id108 - *id109 - *id110 - *id111 - *id133 - *id112 - *id134 - *id037 - *id038 - *id113 - *id013 - *id039 - *id114 - *id115 - *id116 - *id117 - *id137 - *id118 - *id138 - *id119 - *id018 - *id149 - *id120 - *id139 - *id121 - *id140 - *id122 - *id019 - id: 247 shortname: ciwc longname: Specific cloud ice water content units: kg kg**-1 description: This parameter is the mass of cloud ice particles per kilogram of the total mass of moist air. The 'total mass of moist air' is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow. This parameter represents the average value for a grid box.

Water within clouds can be liquid or ice, or a combination of the two.
Note that 'cloud frozen water' is the same as 'cloud ice water'.

See further information about the cloud formulation. access_ids: - dissemination origin_ids: - -80 - -20 - 0 - 34 - 98 table: 128 mars_request_context: - *id105 - *id106 - *id130 - *id107 - *id108 - *id109 - *id110 - *id111 - *id133 - *id112 - *id134 - *id037 - *id038 - *id113 - *id013 - *id039 - *id114 - *id115 - *id116 - *id117 - *id137 - *id118 - *id138 - *id119 - *id018 - *id149 - *id120 - *id139 - *id121 - *id140 - *id122 - *id019 - id: 248 shortname: cc longname: Fraction of cloud cover units: (0 - 1) description: This parameter is the proportion of a grid box covered by cloud (liquid or ice). This parameter is available on multiple levels through the atmosphere. access_ids: - dissemination origin_ids: - -80 - 0 - 98 table: 128 mars_request_context: - *id105 - *id106 - *id130 - *id107 - *id108 - *id109 - *id110 - *id111 - *id133 - *id112 - *id134 - *id113 - *id013 - *id114 - *id115 - *id116 - *id117 - *id137 - *id118 - *id138 - *id119 - *id018 - *id120 - *id139 - *id121 - *id140 - *id122 - *id019 - id: 249 shortname: aiw longname: Accumulated ice water tendency units: (-1 to 1) description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 250 shortname: ice longname: Ice age units: (0 - 1) description: 0 first-year, 1 multi-year access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 251 shortname: atte longname: Adiabatic tendency of temperature units: K description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 252 shortname: athe longname: Adiabatic tendency of humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 253 shortname: atze longname: Adiabatic tendency of zonal wind units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 254 shortname: atmw longname: Adiabatic tendency of meridional wind units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 128 mars_request_context: [] - id: 3003 shortname: ptend longname: Pressure tendency units: Pa s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3005 shortname: icaht longname: ICAO Standard Atmosphere reference height units: m description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3008 shortname: h longname: Geometrical height above ground units: m description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3009 shortname: hstdv longname: Standard deviation of height units: m description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3012 shortname: vptmp longname: Virtual potential temperature units: K description: null access_ids: [] origin_ids: - 0 table: 3 mars_request_context: [] - id: 3014 shortname: papt longname: Pseudo-adiabatic potential temperature units: K description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3015 shortname: tmax longname: Maximum temperature units: K description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3016 shortname: tmin longname: Minimum temperature units: K description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3017 shortname: dpt longname: Dew point temperature units: K description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3018 shortname: depr longname: Dew point depression (or deficit) units: K description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3019 shortname: lapr longname: Lapse rate units: K m**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3020 shortname: vis longname: Visibility units: m description: 'A visibility parameter was introduced in the ECMWF Integrated Forecasting System (IFS) from 12 May 2015. It uses model projections of water vapour, cloud, rain and snow, and climatological aerosol fields to estimate the visibility that would be recorded by weather observers. It is calculated in the IFS at 10 m above the surface of the Earth.

Visibility is normally many kilometers, but is reduced by several meteorological factors including water droplets (fog), precipitation, humidity and aerosols.

Historically, visibility observations have been estimated by human observers judging whether they can see distant objects. More recently, visibility sensors measure the length of atmosphere over which a beam of light travels before its luminous flux is reduced to 5% of its original value. ' access_ids: - dissemination origin_ids: - -20 - 0 - 34 table: 3 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 3021 shortname: rdsp1 longname: Radar spectra (1) units: '~' description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3022 shortname: rdsp2 longname: Radar spectra (2) units: '~' description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3023 shortname: rdsp3 longname: Radar spectra (3) units: '~' description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3024 shortname: pli longname: Parcel lifted index (to 500 hPa) units: K description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3025 shortname: ta longname: Temperature anomaly units: K description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3026 shortname: presa longname: Pressure anomaly units: Pa description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3027 shortname: gpa longname: Geopotential height anomaly units: gpm description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3028 shortname: wvsp1 longname: Wave spectra (1) units: '~' description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3029 shortname: wvsp2 longname: Wave spectra (2) units: '~' description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3030 shortname: wvsp3 longname: Wave spectra (3) units: '~' description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3031 shortname: wdir longname: Wind direction units: Degree true description: null access_ids: [] origin_ids: - -20 - 0 - 34 table: 3 mars_request_context: [] - id: 3037 shortname: mntsf longname: Montgomery stream Function units: m**2 s**-2 description: '' access_ids: [] origin_ids: - 0 table: 3 mars_request_context: [] - id: 3038 shortname: sgcvv longname: Sigma coordinate vertical velocity units: s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3041 shortname: absv longname: Absolute vorticity units: s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3042 shortname: absd longname: Absolute divergence units: s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3045 shortname: vucsh longname: Vertical u-component shear units: s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3046 shortname: vvcsh longname: Vertical v-component shear units: s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3047 shortname: dirc longname: Direction of current units: Degree true description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3048 shortname: spc longname: Speed of current units: m s**-1 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3053 shortname: mixr longname: Humidity mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3054 shortname: pwat longname: Precipitable water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 3 mars_request_context: [] - id: 3055 shortname: vp longname: Vapour pressure units: Pa description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3056 shortname: satd longname: Saturation deficit units: Pa description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3059 shortname: prate longname: Precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3060 shortname: tstm longname: Thunderstorm probability units: '%' description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3062 shortname: lsp longname: Large-scale precipitation units: kg m**-2 description: '[NOTE: See 142 for the equivalent parameter in "m"]' access_ids: [] origin_ids: - 0 table: 3 mars_request_context: [] - id: 3063 shortname: acpcp longname: Convective precipitation (water) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 3 mars_request_context: [] - id: 3064 shortname: srweq longname: Snow fall rate water equivalent units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 0 table: 3 mars_request_context: [] - id: 3066 shortname: sde longname: Snow depth units: m description: '' access_ids: [] origin_ids: - -80 - 0 - 34 table: 3 mars_request_context: [] - id: 3067 shortname: mld longname: Mixed layer depth units: m description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3068 shortname: tthdp longname: Transient thermocline depth units: m description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3069 shortname: mthd longname: Main thermocline depth units: m description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3070 shortname: mtha longname: Main thermocline anomaly units: m description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3072 shortname: ccc longname: Convective cloud cover units: '%' description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3073 shortname: lcc longname: Low cloud cover units: '%' description: '[NOTE: See 186 for the equivalent parameter in "(0-1)"]' access_ids: - dissemination origin_ids: - -20 - 0 - 34 table: 3 mars_request_context: - *id158 - *id159 - *id160 - id: 3074 shortname: mcc longname: Medium cloud cover units: '%' description: '[NOTE: See 187 for the equivalent parameter in "(0-1)"]' access_ids: - dissemination origin_ids: - -20 - 0 - 34 table: 3 mars_request_context: - *id158 - *id159 - *id160 - id: 3075 shortname: hcc longname: High cloud cover units: '%' description: 'Percentage of the sky hidden by high cloud.
[NOTE: See 188 for the equivalent parameter in "(0-1)"]' access_ids: - dissemination origin_ids: - -20 - 0 - 34 table: 3 mars_request_context: - *id158 - *id159 - *id160 - id: 3077 shortname: bli longname: Best lifted index (to 500 hPa) units: K description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3079 shortname: lssf longname: Large scale snow units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3080 shortname: wtmp longname: Water temperature units: K description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3082 shortname: dslm longname: Deviation of sea-level from mean units: m description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3086 shortname: ssw longname: Soil moisture content units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3088 shortname: s longname: Salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3089 shortname: den longname: Density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3091 shortname: icec longname: Ice cover (1=ice, 0=no ice) units: (0 - 1) description: '' access_ids: [] origin_ids: - 0 table: 3 mars_request_context: [] - id: 3092 shortname: icetk longname: Ice thickness units: m description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3093 shortname: diced longname: Direction of ice drift units: Degree true description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3094 shortname: siced longname: Speed of ice drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3095 shortname: uice longname: U-component of ice drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3096 shortname: vice longname: V-component of ice drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3097 shortname: iceg longname: Ice growth rate units: m s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3098 shortname: iced longname: Ice divergence units: s**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3099 shortname: snom longname: Snowmelt units: kg m**-2 description: "This parameter is the accumulated amount of water that has melted\ \ from snow in the snow-covered area of a grid box, in the WMO standard units\ \ of kg m-2.\r\nThis parameter is accumulated over a particular time period which\ \ depends on the data extracted.\r\n[NOTE: See 45 for the equivalent parameter\ \ in \"m of water equivalent\"]" access_ids: [] origin_ids: - -20 - 0 - 34 table: 3 mars_request_context: [] - id: 3100 shortname: swh longname: Significant height of combined wind waves and swell units: m description: null access_ids: - dissemination origin_ids: - 0 - 34 table: 3 mars_request_context: - &id207 class: ai stream: waef type: cf levtype: sfc - &id208 class: ai stream: waef type: pf levtype: sfc - &id209 class: ai stream: wave type: fc levtype: sfc - id: 3101 shortname: mdww longname: Mean direction of wind waves units: Degree true description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3102 shortname: shww longname: Significant height of wind waves units: m description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3103 shortname: mpww longname: Mean period of wind waves units: s description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3104 shortname: swdir longname: Direction of swell waves units: Degree true description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3105 shortname: swell longname: Significant height of swell waves units: m description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3106 shortname: swper longname: Mean period of swell waves units: s description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3107 shortname: mdps longname: Primary wave direction units: Degree true description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3108 shortname: mpps longname: Primary wave mean period units: s description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3109 shortname: dirsw longname: Secondary wave direction units: Degree true description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3110 shortname: swp longname: Secondary wave mean period units: s description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3111 shortname: nswrs longname: Net short-wave radiation flux (surface) units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3112 shortname: nlwrs longname: Net long-wave radiation flux (surface) units: W m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3113 shortname: nswrt longname: Net short-wave radiation flux(atmosph.top) units: W m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3114 shortname: nlwrt longname: Net long-wave radiation flux(atmosph.top) units: W m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3115 shortname: lwavr longname: Long wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3116 shortname: swavr longname: Short wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3117 shortname: grad longname: Global radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3119 shortname: lwrad longname: Radiance (with respect to wave number) units: W m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3120 shortname: swrad longname: Radiance (with respect to wave length) units: W m**-3 sr**-1 description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3121 shortname: lhf longname: Latent heat flux units: W m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3122 shortname: shf longname: Sensible heat flux units: W m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3123 shortname: bld longname: Boundary layer dissipation units: W m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3124 shortname: uflx longname: Momentum flux, u-component units: N m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3125 shortname: vflx longname: Momentum flux, v-component units: N m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3126 shortname: wmixe longname: Wind mixing energy units: J description: null access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 3127 shortname: imgd longname: Image data units: '~' description: '' access_ids: [] origin_ids: - 0 - 34 table: 3 mars_request_context: [] - id: 129001 shortname: strfgrd longname: Stream function gradient units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129002 shortname: vpotgrd longname: Velocity potential gradient units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129003 shortname: ptgrd longname: Potential temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129004 shortname: eqptgrd longname: Equivalent potential temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129005 shortname: septgrd longname: Saturated equivalent potential temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129011 shortname: udvwgrd longname: U component of divergent wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129012 shortname: vdvwgrd longname: V component of divergent wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129013 shortname: urtwgrd longname: U component of rotational wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129014 shortname: vrtwgrd longname: V component of rotational wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129021 shortname: uctpgrd longname: Unbalanced component of temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129022 shortname: uclngrd longname: Unbalanced component of logarithm of surface pressure gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129023 shortname: ucdvgrd longname: Unbalanced component of divergence gradient units: s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129024 shortname: '~' longname: Reserved for future unbalanced components units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129025 shortname: '~' longname: Reserved for future unbalanced components units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129026 shortname: clgrd longname: Lake cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129027 shortname: cvlgrd longname: Low vegetation cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129028 shortname: cvhgrd longname: High vegetation cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129029 shortname: tvlgrd longname: Type of low vegetation gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129030 shortname: tvhgrd longname: Type of high vegetation gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129031 shortname: sicgrd longname: Sea-ice cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129032 shortname: asngrd longname: Snow albedo gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129033 shortname: rsngrd longname: Snow density gradient units: kg m**-3 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129034 shortname: sstkgrd longname: Sea surface temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129035 shortname: istl1grd longname: Ice surface temperature layer 1 gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129036 shortname: istl2grd longname: Ice surface temperature layer 2 gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129037 shortname: istl3grd longname: Ice surface temperature layer 3 gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129038 shortname: istl4grd longname: Ice surface temperature layer 4 gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129039 shortname: swvl1grd longname: Volumetric soil water layer 1 gradient units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129040 shortname: swvl2grd longname: Volumetric soil water layer 2 gradient units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129041 shortname: swvl3grd longname: Volumetric soil water layer 3 gradient units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129042 shortname: swvl4grd longname: Volumetric soil water layer 4 gradient units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129043 shortname: sltgrd longname: Soil type gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129044 shortname: esgrd longname: Snow evaporation gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129045 shortname: smltgrd longname: Snowmelt gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129046 shortname: sdurgrd longname: Solar duration gradient units: s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129047 shortname: dsrpgrd longname: Direct solar radiation gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129048 shortname: magssgrd longname: Magnitude of turbulent surface stress gradient units: N m**-2 s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129049 shortname: 10fggrd longname: 10 metre wind gust gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129050 shortname: lspfgrd longname: Large-scale precipitation fraction gradient units: s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129051 shortname: mx2t24grd longname: Maximum 2 metre temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129052 shortname: mn2t24grd longname: Minimum 2 metre temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129053 shortname: montgrd longname: Montgomery potential gradient units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129054 shortname: presgrd longname: Pressure gradient units: Pa description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129055 shortname: mean2t24grd longname: Mean 2 metre temperature in the last 24 hours gradient units: K description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129056 shortname: mn2d24grd longname: Mean 2 metre dewpoint temperature in the last 24 hours gradient units: K description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129057 shortname: uvbgrd longname: Downward UV radiation at the surface gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129058 shortname: pargrd longname: Photosynthetically active radiation at the surface gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129059 shortname: capegrd longname: Convective available potential energy gradient units: J kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129060 shortname: pvgrd longname: Potential vorticity gradient units: K m**2 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129061 shortname: tpogrd longname: Total precipitation from observations gradient units: Millimetres*100 + number of stations description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129062 shortname: obctgrd longname: Observation count gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129063 shortname: '~' longname: Start time for skin temperature difference units: s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129064 shortname: '~' longname: Finish time for skin temperature difference units: s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129065 shortname: '~' longname: Skin temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129066 shortname: '~' longname: Leaf area index, low vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129067 shortname: '~' longname: Leaf area index, high vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129070 shortname: '~' longname: Biome cover, low vegetation units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129071 shortname: '~' longname: Biome cover, high vegetation units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129078 shortname: '~' longname: Total column liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129079 shortname: '~' longname: Total column ice water units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129080 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129081 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129082 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129083 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129084 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129085 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129086 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129087 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129088 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129089 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129090 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129091 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129092 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129093 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129094 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129095 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129096 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129097 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129098 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129099 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129100 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129101 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129102 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129103 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129104 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129105 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129106 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129107 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129108 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129109 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129110 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129111 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129112 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129113 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129114 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129115 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129116 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129117 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129118 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129119 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129120 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129121 shortname: mx2t6grd longname: Maximum temperature at 2 metres gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129122 shortname: mn2t6grd longname: Minimum temperature at 2 metres gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129123 shortname: 10fg6grd longname: 10 metre wind gust in the last 6 hours gradient units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129125 shortname: '~' longname: Vertically integrated total energy units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129126 shortname: '~' longname: Generic parameter for sensitive area prediction units: Various description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129127 shortname: atgrd longname: Atmospheric tide gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129128 shortname: bvgrd longname: Budget values gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129129 shortname: zgrd longname: Geopotential gradient units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129130 shortname: tgrd longname: Temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129131 shortname: ugrd longname: U component of wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129132 shortname: vgrd longname: V component of wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129133 shortname: qgrd longname: Specific humidity gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129134 shortname: spgrd longname: Surface pressure gradient units: Pa description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129135 shortname: wgrd longname: vertical velocity (pressure) gradient units: Pa s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129136 shortname: tcwgrd longname: Total column water gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129137 shortname: tcwvgrd longname: Total column water vapour gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129138 shortname: vogrd longname: Vorticity (relative) gradient units: s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129139 shortname: stl1grd longname: Soil temperature level 1 gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129140 shortname: swl1grd longname: Soil wetness level 1 gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129141 shortname: sdgrd longname: Snow depth gradient units: m of water equivalent description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129142 shortname: lspgrd longname: Stratiform precipitation (Large-scale precipitation) gradient units: m description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129143 shortname: cpgrd longname: Convective precipitation gradient units: m description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129144 shortname: sfgrd longname: Snowfall (convective + stratiform) gradient units: m of water equivalent description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129145 shortname: bldgrd longname: Boundary layer dissipation gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129146 shortname: sshfgrd longname: Surface sensible heat flux gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129147 shortname: slhfgrd longname: Surface latent heat flux gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129148 shortname: chnkgrd longname: Charnock gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129149 shortname: snrgrd longname: Surface net radiation gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129150 shortname: tnrgrd longname: Top net radiation gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129151 shortname: mslgrd longname: Mean sea level pressure gradient units: Pa description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129152 shortname: lnspgrd longname: Logarithm of surface pressure gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129153 shortname: swhrgrd longname: Short-wave heating rate gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129154 shortname: lwhrgrd longname: Long-wave heating rate gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129155 shortname: dgrd longname: Divergence gradient units: s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129156 shortname: ghgrd longname: Height gradient units: m description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129157 shortname: rgrd longname: Relative humidity gradient units: '%' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129158 shortname: tspgrd longname: Tendency of surface pressure gradient units: Pa s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129159 shortname: blhgrd longname: Boundary layer height gradient units: m description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129160 shortname: sdorgrd longname: Standard deviation of orography gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129161 shortname: isorgrd longname: Anisotropy of sub-gridscale orography gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129162 shortname: anorgrd longname: Angle of sub-gridscale orography gradient units: radians description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129163 shortname: slorgrd longname: Slope of sub-gridscale orography gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129164 shortname: tccgrd longname: Total cloud cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129165 shortname: 10ugrd longname: 10 metre U wind component gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129166 shortname: 10vgrd longname: 10 metre V wind component gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129167 shortname: 2tgrd longname: 2 metre temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129168 shortname: 2dgrd longname: 2 metre dewpoint temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129169 shortname: ssrdgrd longname: Surface solar radiation downwards gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129170 shortname: stl2grd longname: Soil temperature level 2 gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129171 shortname: swl2grd longname: Soil wetness level 2 gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129172 shortname: lsmgrd longname: Land-sea mask gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: - *id034 - *id035 - *id036 - id: 129173 shortname: srgrd longname: Surface roughness gradient units: m description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129174 shortname: algrd longname: Albedo gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129175 shortname: strdgrd longname: Surface thermal radiation downwards gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129176 shortname: ssrgrd longname: Surface net solar radiation gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129177 shortname: strgrd longname: Surface net thermal radiation gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129178 shortname: tsrgrd longname: Top net solar radiation gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129179 shortname: ttrgrd longname: Top net thermal radiation gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129180 shortname: ewssgrd longname: East-West surface stress gradient units: N m**-2 s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129181 shortname: nsssgrd longname: North-South surface stress gradient units: N m**-2 s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129182 shortname: egrd longname: Evaporation gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129183 shortname: stl3grd longname: Soil temperature level 3 gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129184 shortname: swl3grd longname: Soil wetness level 3 gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129185 shortname: cccgrd longname: Convective cloud cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129186 shortname: lccgrd longname: Low cloud cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129187 shortname: mccgrd longname: Medium cloud cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129188 shortname: hccgrd longname: High cloud cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129189 shortname: sundgrd longname: Sunshine duration gradient units: s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129190 shortname: ewovgrd longname: East-West component of sub-gridscale orographic variance gradient units: m**2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129191 shortname: nsovgrd longname: North-South component of sub-gridscale orographic variance gradient units: m**2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129192 shortname: nwovgrd longname: North-West/South-East component of sub-gridscale orographic variance gradient units: m**2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129193 shortname: neovgrd longname: North-East/South-West component of sub-gridscale orographic variance gradient units: m**2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129194 shortname: btmpgrd longname: Brightness temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129195 shortname: lgwsgrd longname: Longitudinal component of gravity wave stress gradient units: N m**-2 s description: '' access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129196 shortname: mgwsgrd longname: Meridional component of gravity wave stress gradient units: N m**-2 s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129197 shortname: gwdgrd longname: Gravity wave dissipation gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129198 shortname: srcgrd longname: Skin reservoir content gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129199 shortname: veggrd longname: Vegetation fraction gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129200 shortname: vsogrd longname: Variance of sub-gridscale orography gradient units: m**2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129201 shortname: mx2tgrd longname: Maximum temperature at 2 metres since previous post-processing gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129202 shortname: mn2tgrd longname: Minimum temperature at 2 metres since previous post-processing gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129203 shortname: o3grd longname: Ozone mass mixing ratio gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129204 shortname: pawgrd longname: Precipitation analysis weights gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129205 shortname: rogrd longname: Runoff gradient units: m description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129206 shortname: tco3grd longname: Total column ozone gradient units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129207 shortname: 10sigrd longname: 10 metre wind speed gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129208 shortname: tsrcgrd longname: Top net solar radiation, clear sky gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129209 shortname: ttrcgrd longname: Top net thermal radiation, clear sky gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129210 shortname: ssrcgrd longname: Surface net solar radiation, clear sky gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129211 shortname: strcgrd longname: Surface net thermal radiation, clear sky gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129212 shortname: tisrgrd longname: TOA incident solar radiation gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129214 shortname: dhrgrd longname: Diabatic heating by radiation gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129215 shortname: dhvdgrd longname: Diabatic heating by vertical diffusion gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129216 shortname: dhccgrd longname: Diabatic heating by cumulus convection gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129217 shortname: dhlcgrd longname: Diabatic heating large-scale condensation gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129218 shortname: vdzwgrd longname: Vertical diffusion of zonal wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129219 shortname: vdmwgrd longname: Vertical diffusion of meridional wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129220 shortname: ewgdgrd longname: East-West gravity wave drag tendency gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129221 shortname: nsgdgrd longname: North-South gravity wave drag tendency gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129222 shortname: ctzwgrd longname: Convective tendency of zonal wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129223 shortname: ctmwgrd longname: Convective tendency of meridional wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129224 shortname: vdhgrd longname: Vertical diffusion of humidity gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129225 shortname: htccgrd longname: Humidity tendency by cumulus convection gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129226 shortname: htlcgrd longname: Humidity tendency by large-scale condensation gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129227 shortname: crnhgrd longname: Change from removal of negative humidity gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129228 shortname: tpgrd longname: Total precipitation gradient units: m description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129229 shortname: iewsgrd longname: Instantaneous X surface stress gradient units: N m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129230 shortname: inssgrd longname: Instantaneous Y surface stress gradient units: N m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129231 shortname: ishfgrd longname: Instantaneous surface heat flux gradient units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129232 shortname: iegrd longname: Instantaneous moisture flux gradient units: kg m**-2 s description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129233 shortname: asqgrd longname: Apparent surface humidity gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129234 shortname: lsrhgrd longname: Logarithm of surface roughness length for heat gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129235 shortname: sktgrd longname: Skin temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129236 shortname: stl4grd longname: Soil temperature level 4 gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129237 shortname: swl4grd longname: Soil wetness level 4 gradient units: m description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129238 shortname: tsngrd longname: Temperature of snow layer gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129239 shortname: csfgrd longname: Convective snowfall gradient units: m of water equivalent description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129240 shortname: lsfgrd longname: Large scale snowfall gradient units: m of water equivalent description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129241 shortname: acfgrd longname: Accumulated cloud fraction tendency gradient units: (-1 to 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129242 shortname: alwgrd longname: Accumulated liquid water tendency gradient units: (-1 to 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129243 shortname: falgrd longname: Forecast albedo gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129244 shortname: fsrgrd longname: Forecast surface roughness gradient units: m description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129245 shortname: flsrgrd longname: Forecast logarithm of surface roughness for heat gradient units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129246 shortname: clwcgrd longname: Specific cloud liquid water content gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129247 shortname: ciwcgrd longname: Specific cloud ice water content gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129248 shortname: ccgrd longname: Cloud cover gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129249 shortname: aiwgrd longname: Accumulated ice water tendency gradient units: (-1 to 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129250 shortname: icegrd longname: Ice age gradient units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129251 shortname: attegrd longname: Adiabatic tendency of temperature gradient units: K description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129252 shortname: athegrd longname: Adiabatic tendency of humidity gradient units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129253 shortname: atzegrd longname: Adiabatic tendency of zonal wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129254 shortname: atmwgrd longname: Adiabatic tendency of meridional wind gradient units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 129255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 129 mars_request_context: [] - id: 130208 shortname: tsru longname: Top solar radiation upward units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130209 shortname: ttru longname: Top thermal radiation upward units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130210 shortname: tsuc longname: Top solar radiation upward, clear sky units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130211 shortname: ttuc longname: Top thermal radiation upward, clear sky units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130212 shortname: clw longname: Cloud liquid water units: kg kg**-1 description: null access_ids: [] origin_ids: - 34 - 98 table: 130 mars_request_context: [] - id: 130213 shortname: cf longname: Cloud fraction units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130214 shortname: dhr longname: Diabatic heating by radiation units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130215 shortname: dhvd longname: Diabatic heating by vertical diffusion units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130216 shortname: dhcc longname: Diabatic heating by cumulus convection units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130217 shortname: dhlc longname: Diabatic heating by large-scale condensation units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130218 shortname: vdzw longname: Vertical diffusion of zonal wind units: m**2 s**-3 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130219 shortname: vdmw longname: Vertical diffusion of meridional wind units: m**2 s**-3 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130220 shortname: ewgd longname: East-West gravity wave drag units: m**2 s**-3 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130221 shortname: nsgd longname: North-South gravity wave drag units: m**2 s**-3 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130224 shortname: vdh longname: Vertical diffusion of humidity units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130225 shortname: htcc longname: Humidity tendency by cumulus convection units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130226 shortname: htlc longname: Humidity tendency by large-scale condensation units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130228 shortname: att longname: Adiabatic tendency of temperature units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130229 shortname: ath longname: Adiabatic tendency of humidity units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130230 shortname: atzw longname: Adiabatic tendency of zonal wind units: m**2 s**-3 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130231 shortname: atmwax longname: Adiabatic tendency of meridional wind units: m**2 s**-3 description: null access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 130232 shortname: mvv longname: Mean vertical velocity units: Pa s**-1 description:

Please use 235135 for the GRIB2 encoding of this parameter.

access_ids: [] origin_ids: - 98 table: 130 mars_request_context: [] - id: 131001 shortname: 2tag2 longname: 2m temperature anomaly of at least +2K units: '%' description: This parameter gives the probability (in %) that the 2m temperature anomaly will be +2K or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 2m temperature anomaly of +2K or above.

An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - &id179 class: od stream: eefo type: ep levtype: sfc - id: 131002 shortname: 2tag1 longname: 2m temperature anomaly of at least +1K units: '%' description: This parameter gives the probability (in %) that the 2m temperature anomaly will be +1K or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 2m temperature anomaly of +1K or above.

An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id179 - id: 131003 shortname: 2tag0 longname: 2m temperature anomaly of at least 0K units: '%' description: This parameter gives the probability (in %) that the 2m temperature anomaly will be 0K or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 2m temperature anomaly of 0K or above.

An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id179 - id: 131004 shortname: 2talm1 longname: 2m temperature anomaly of at most -1K units: '%' description: This parameter gives the probability (in %) that the 2m temperature anomaly will be -1K or below. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 2m temperature anomaly of -1K or below.

An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id179 - id: 131005 shortname: 2talm2 longname: 2m temperature anomaly of at most -2K units: '%' description: This parameter gives the probability (in %) that the 2m temperature anomaly will be -2K or below. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 2m temperature anomaly of -2K or below.

An anomaly is a difference from a defined long-term average. 2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id179 - id: 131006 shortname: tpag20 longname: Total precipitation anomaly of at least 20 mm units: '%' description: This parameter gives the probability (in %) that the total precipitation anomaly will be 20 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation anomaly of 20mm or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id179 - id: 131007 shortname: tpag10 longname: Total precipitation anomaly of at least 10 mm units: '%' description: This parameter gives the probability (in %) that the total precipitation anomaly will be 10 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation anomaly of 10mm or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id179 - id: 131008 shortname: tpag0 longname: Total precipitation anomaly of at least 0 mm units: '%' description: This parameter gives the probability (in %) that the total precipitation anomaly will be 0 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation anomaly of 0mm or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id179 - id: 131009 shortname: stag0 longname: Surface temperature anomaly of at least 0K units: '%' description: null access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id179 - id: 131010 shortname: mslag0 longname: Mean sea level pressure anomaly of at least 0 Pa units: '%' description: null access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id179 - id: 131015 shortname: h0dip longname: Height of 0 degree isotherm probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131016 shortname: hslp longname: Height of snowfall limit probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131017 shortname: saip longname: Showalter index probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131018 shortname: whip longname: Whiting index probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131020 shortname: talm2 longname: Temperature anomaly less than -2 K units: '%' description: This parameter gives the probability (in %) that the temperature anomaly is below -2 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly below -2 K. An anomaly is a difference from a defined long-term average. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - &id180 class: od stream: enfo type: ep levtype: pl - id: 131021 shortname: tag2 longname: Temperature anomaly of at least +2 K units: '%' description: This parameter gives the probability (in %) that the temperature anomaly is 2 K or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly of 2 K or above. An anomaly is a difference from a defined long-term average. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id180 - id: 131022 shortname: talm8 longname: Temperature anomaly less than -8 K units: '%' description: This parameter gives the probability (in %) that the temperature anomaly is below -8 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly below -8 K. An anomaly is a difference from a defined long-term average. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id180 - id: 131023 shortname: talm4 longname: Temperature anomaly less than -4 K units: '%' description: This parameter gives the probability (in %) that the temperature anomaly is below -4 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly below -4 K. An anomaly is a difference from a defined long-term average. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id180 - id: 131024 shortname: tag4 longname: Temperature anomaly greater than +4 K units: '%' description: This parameter gives the probability (in %) that the temperature anomaly exceeds +4 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly above +4 K. An anomaly is a difference from a defined long-term average. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id180 - id: 131025 shortname: tag8 longname: Temperature anomaly greater than +8 K units: '%' description: This parameter gives the probability (in %) that the temperature anomaly exceeds +8 K. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a temperature anomaly above +8 K. An anomaly is a difference from a defined long-term average. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id180 - id: 131049 shortname: 10gp longname: 10 metre wind gust probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131059 shortname: capep longname: Convective available potential energy probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131060 shortname: tpg1 longname: Total precipitation of at least 1 mm units: '%' description: This parameter gives the probability (in %) that total precipitation will be 1 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation of 1 mm or above.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - &id181 class: ai stream: enfo type: ep levtype: sfc - &id182 class: od stream: enfo type: ep levtype: sfc - id: 131061 shortname: tpg5 longname: Total precipitation of at least 5 mm units: '%' description: This parameter gives the probability (in %) that total precipitation will be 5 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation of 5 mm or above.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131062 shortname: tpg10 longname: Total precipitation of at least 10 mm units: '%' description: This parameter gives the probability (in %) that total precipitation will be 10 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation of 10 mm or above.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131063 shortname: tpg20 longname: Total precipitation of at least 20 mm units: '%' description: This parameter gives the probability (in %) that total precipitation will be 20 mm or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation of 20 mm or above.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131064 shortname: tpl01 longname: Total precipitation less than 0.1 mm units: '%' description: This parameter gives the probability (in %) that total precipitation will be below 0.1 mm. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting total precipitation below 0.1 mm.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. For this parameter, it is accumulated over a particular time period which depends on the data extracted.

Total precipitation is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131065 shortname: tprl1 longname: Total precipitation rate less than 1 mm/day units: '%' description: This parameter gives the probability (in %) that the total precipitation rate will be less than 1 mm/day. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation rate of less than 1 mm/day. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box.See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131066 shortname: tprg3 longname: Total precipitation rate of at least 3 mm/day units: '%' description: This parameter gives the probability (in %) that the total precipitation rate will 3 mm/day or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation rate of 3 mm/day or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box.See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131067 shortname: tprg5 longname: Total precipitation rate of at least 5 mm/day units: '%' description: This parameter gives the probability (in %) that the total precipitation rate will 5 mm/day or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a total precipitation rate of 5 mm/day or above. An anomaly is a difference from a defined long-term average or climate.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box.See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131068 shortname: 10spg10 longname: 10 metre Wind speed of at least 10 m/s units: '%' description: This parameter gives the probability (in %) that the 10 m wind speed will be 10 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m wind speed of 10 m s-1 or above.

10 metre wind speed is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131069 shortname: 10spg15 longname: 10 metre Wind speed of at least 15 m/s units: '%' description: This parameter gives the probability (in %) that the 10 m wind speed will be 15 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m wind speed of 15 m s-1 or above.

10 metre wind speed is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131070 shortname: 10fgg15 longname: 10 metre wind gust of at least 15 m/s units: '%' description: 'This parameter gives the probability (in %) that the 10 m gust will be 15 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m gust speed of 15 m s-1 or above.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth. ' access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id182 - id: 131071 shortname: 10fgg20 longname: 10 metre wind gust of at least 20 m/s units: '%' description: 'This parameter gives the probability (in %) that the 10 m gust will be 20 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m gust speed of 20 m s-1 or above.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth. ' access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id182 - id: 131072 shortname: 10fgg25 longname: 10 metre wind gust of at least 25 m/s units: '%' description: This parameter gives the probability (in %) that the 10 m gust will be 25 m s-1 or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a 10 m gust speed of 25 m s-1 or above.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id182 - id: 131073 shortname: 2tl273 longname: 2 metre temperature less than 273.15 K units: '%' description: Probability access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131074 shortname: swhg2 longname: Significant wave height of at least 2 m units: '%' description: This parameter gives the probability (in %) that the significant wave height will be 2 m or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a significant wave height of 2 m or above.

The significant wave height represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this significant wave height is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

Significant wave height can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - &id183 class: ai stream: waef type: ep levtype: sfc - &id184 class: od stream: waef type: ep levtype: sfc - id: 131075 shortname: swhg4 longname: Significant wave height of at least 4 m units: '%' description: This parameter gives the probability (in %) that the significant wave height will be 4 m or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a significant wave height of 4 m or above.

The significant wave height represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this significant wave height is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

Significant wave height can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id183 - *id184 - id: 131076 shortname: swhg6 longname: Significant wave height of at least 6 m units: '%' description: This parameter gives the probability (in %) that the significant wave height will be 6 m or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a significant wave height of 6 m or above.

The significant wave height represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this significant wave height is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

Significant wave height can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id183 - *id184 - id: 131077 shortname: swhg8 longname: Significant wave height of at least 8 m units: '%' description: This parameter gives the probability (in %) that the significant wave height will be 8 m or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a significant wave height of 8 m or above.

The significant wave height represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this significant wave height is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

Significant wave height can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id183 - *id184 - id: 131078 shortname: mwpg8 longname: Mean wave period of at least 8 s units: '%' description: This parameter gives the probability (in %) that the mean wave period will be 8 s or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a mean wave period of 8 s or above.

The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further information. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id183 - *id184 - id: 131079 shortname: mwpg10 longname: Mean wave period of at least 10 s units: '%' description: This parameter gives the probability (in %) that the mean wave period will be 10 s or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a mean wave period of 10 s or above.

The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further information. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id183 - *id184 - id: 131080 shortname: mwpg12 longname: Mean wave period of at least 12 s units: '%' description: This parameter gives the probability (in %) that the mean wave period will be 12 s or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a mean wave period of 12 s or above.

The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further information. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id183 - *id184 - id: 131081 shortname: mwpg15 longname: Mean wave period of at least 15 s units: '%' description: This parameter gives the probability (in %) that the mean wave period will be 15 s or above. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a mean wave period of 15 s or above.

The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further information. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id183 - *id184 - id: 131082 shortname: tpg40 longname: Total precipitation of at least 40 mm units: '%' description: Probability access_ids: [] origin_ids: - 0 - 98 table: 131 mars_request_context: [] - id: 131083 shortname: tpg60 longname: Total precipitation of at least 60 mm units: '%' description: Probability access_ids: [] origin_ids: - 0 - 98 table: 131 mars_request_context: [] - id: 131084 shortname: tpg80 longname: Total precipitation of at least 80 mm units: '%' description: Probability access_ids: [] origin_ids: - 0 - 98 table: 131 mars_request_context: [] - id: 131085 shortname: tpg100 longname: Total precipitation of at least 100 mm units: '%' description: Probability access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131086 shortname: tpg150 longname: Total precipitation of at least 150 mm units: '%' description: Probability access_ids: [] origin_ids: - 0 - 98 table: 131 mars_request_context: [] - id: 131087 shortname: tpg200 longname: Total precipitation of at least 200 mm units: '%' description: Probability access_ids: [] origin_ids: - 0 - 98 table: 131 mars_request_context: [] - id: 131088 shortname: tpg300 longname: Total precipitation of at least 300 mm units: '%' description: Probability access_ids: [] origin_ids: - 0 - 98 table: 131 mars_request_context: [] - id: 131089 shortname: pts longname: Probability of a tropical storm units: '%' description: This parameter is the potential tropical storm activity. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a tropical storm.

This parameter is calculated from the number of ensemble members that have a tropical storm within a radius of 300 km of a location, within 48 hours. This is called the 'strike probability'.

A tropical storm is a circular pattern of wind centred around an area of non-frontal low atmospheric pressure at mean sea-level that developed over the tropics or sub-tropics. Its wind speeds near the surface of the Earth are greater than 17 m s-1 and less than 32 m s-1. In the northern hemisphere it rotates in an anti-clockwise direction near the surface, and in the southern hemisphere it rotates clockwise. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id182 - id: 131090 shortname: ph longname: Probability of a hurricane units: '%' description: This parameter is the potential hurricane or typhoon activity. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a hurricane or typhoon.

This parameter is calculated from the number of ensemble members that have a hurricane or typhoon within a radius of 300 km of a location, within 48 hours of the specified time. This is called the 'strike probability'.

A hurricane is a circular pattern of wind centred around an area of non-frontal low atmospheric pressure at mean sea-level that develops over the tropics or sub-tropics. Its wind speeds near the surface of the Earth are greater than 32 m s-1. In the northern hemisphere it rotates in an anti-clockwise direction near the surface, and in the southern hemisphere it rotates clockwise. In the western North Pacific it is called a typhoon. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id182 - id: 131091 shortname: ptd longname: Probability of a tropical depression units: '%' description: This parameter is the potential tropical depression activity. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system. A higher probability indicates that more ensemble members are predicting a tropical depression.

This parameter is calculated from the number of ensemble members that have a tropical depression within a radius of 300 km of a location, within 48 hours of the specified time. This is sometimes called the 'strike probability'..

A tropical depression is a circular pattern of wind centred around an area of non-frontal low atmospheric pressure at mean sea-level that developed over the tropics or sub-tropics. Its wind speeds near the surface of the Earth are greater than 8 m s-1 and up to 17 m s-1. In the northern hemisphere it rotates in an anti-clockwise direction near the surface, and in the southern hemisphere it rotates clockwise. access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id182 - id: 131092 shortname: cpts longname: Climatological probability of a tropical storm units: '%' description: '' access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131093 shortname: cph longname: Climatological probability of a hurricane units: '%' description: '' access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131094 shortname: cptd longname: Climatological probability of a tropical depression units: '%' description: '' access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131095 shortname: pats longname: Probability anomaly of a tropical storm units: '%' description: '' access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131096 shortname: pah longname: Probability anomaly of a hurricane units: '%' description: '' access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131097 shortname: patd longname: Probability anomaly of a tropical depression units: '%' description: '' access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131098 shortname: tpg25 longname: Total precipitation of at least 25 mm units: '%' description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131099 shortname: tpg50 longname: Total precipitation of at least 50 mm units: '%' description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id181 - *id182 - id: 131100 shortname: 10fgg10 longname: 10 metre wind gust of at least 10 m/s units: '%' description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 131 mars_request_context: - *id182 - id: 131129 shortname: zp longname: Geopotential probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: - class: od stream: eefo type: pd levtype: pl - id: 131130 shortname: tap longname: Temperature anomaly probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131139 shortname: stl1p longname: Soil temperature level 1 probability units: '%' description: '' access_ids: [] origin_ids: - 98 table: 131 mars_request_context: - &id185 class: od stream: eefo type: pd levtype: sfc - id: 131144 shortname: sfp longname: Snowfall (convective + stratiform) probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131151 shortname: mslpp longname: Mean sea level pressure probability units: '%' description: '' access_ids: [] origin_ids: - 98 table: 131 mars_request_context: - *id185 - id: 131164 shortname: tccp longname: Total cloud cover probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131165 shortname: 10sp longname: 10 metre speed probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131167 shortname: 2tp longname: 2 metre temperature probability units: '%' description: This parameter is the probability (in %) that the 2 metre temperature falls within a particular quantile of the probability distribution function (pdf) for 2 metre temperature. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system.

The 2 metre temperature is the temperature of air at 2 m above the surface of land, sea or in-land waters. It is the standard for surface-level temperature measurements on land.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

A quantile is the division of the pdf into equally spaced interval. A higher probability indicates that more ensemble members are predicting a 2 metre temperature in that part of the quantile range. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id185 - id: 131201 shortname: mx2tp longname: Maximum 2 metre temperature probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131202 shortname: mn2tp longname: Minimum 2 metre temperature probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131228 shortname: tpp longname: Total precipitation probability units: '%' description: This parameter is the probability (in %) that the total precipitation falls within a particular quantile of the probability distribution function (pdf) for total precipitation. It is derived from the range of possible outcomes as predicted by the ECMWF ensemble forecasting system.

The user decides how many quantiles the pdf is divided into, and which one the probability describes, e.g. lowest third, middle third or highest third. A higher probability indicates that more ensemble members are predicting a total precipitation in the selected part of the range.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth. access_ids: - dissemination origin_ids: - 98 table: 131 mars_request_context: - *id185 - id: 131229 shortname: swhp longname: Significant wave height probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131232 shortname: mwpp longname: Mean wave period probability units: '%' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 131 mars_request_context: [] - id: 131256 shortname: 10cogug25 longname: 10 metre convective gust of at least 25 m/s units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 131 mars_request_context: [] - id: 132044 shortname: capesi longname: Convective available potential energy shear index units: Numeric description:

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

High values of this parameter indicate where deep, organised convection is more likely to occur, if it is initiated. When air rises through a large depth of the atmosphere extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result. 

The likelihood of severe weather and its level of intensity tend to increase with increasing organisation of convection. Convective supercells are the most prominent example. Such organised areas of convection tend to occur where wind changes rapidly with height i.e., in areas with strong vertical wind shear.

This parameter shows how extreme the ensemble forecast of convective available potential energy shear (CAPES) is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1. 

 

  • The closer the EFI is to +1 or -1, the more extreme the forecast CAPES values are.
  • EFI = 0 indicates that extreme CAPES values are unlikely, although convection can still occur.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high CAPES values are expected, relative to the model climate .
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low CAPES values are expected, relative to the model climate.



See more information about the EFI . See more information about the ensemble forecast.

To help determine whether convection will be initiated or not, the probability forecast for precipitation (for example) can be used, in conjunction with this parameter.

The convective available potential energy shear (CAPES) is the product of wind shear and the square root of convective available potential energy (CAPE). The wind shear denotes bulk shear which is a vector difference of winds at two different heights in the atmosphere (925 hPa and 500 hPa). The square root of CAPE is proportional to the maximum vertical velocity in convective updraughts.

access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - &id186 class: od stream: enfo type: efi levtype: sfc - &id187 class: od stream: enfo type: efic levtype: sfc - &id188 class: od stream: enfo type: sot levtype: sfc - id: 132045 shortname: wvfi longname: Water vapour flux index units: Numeric description: "Water Vapour Flux Index is a dimensionless parameter which represents\ \ the Extreme Forecast Index (EFI) of the Water Vapour Flux (wvf) averaged for\ \ a specified forecast period. It varies between -1 and 1. Shift of Tails (SOT)\ \ for wvfi is also computed and it can be retrieved by specifying type=sot. For\ \ details about wvfi please see:\r\n
\r\nLavers, D.A., E. Zsoter, D.S. Richardson,\ \ and F. Pappenberger, 2017: An Assessment of the ECMWF Extreme Forecast Index\ \ for Water Vapor Transport during Boreal Winter. Wea. Forecasting, 32, 1667–1674,\ \ https://doi.org/10.1175/WAF-D-17-0073.1\r\n
\r\nLavers, D. A., F. Pappenberger,\ \ D. S. Richardson, and E. Zsoter (2016), ECMWF Extreme Forecast Index for water\ \ vapor transport: A forecast tool for atmospheric rivers and extreme precipitation,\ \ Geophys. Res. Lett., 43, doi:10.1002/2016GL071320." access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - *id186 - *id187 - *id188 - id: 132049 shortname: 10fgi longname: 10 metre wind gust index units: Numeric description: This parameter indicates how extreme the ensemble forecast 10 metre wind gust is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that much stronger gusts are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very calm conditions are expected, relative to the model climate.
See more information about the EFI. See more information about the ensemble forecast.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - *id186 - *id187 - *id188 - id: 132059 shortname: capei longname: Convective available potential energy index units: Numeric description:

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

High values of this parameter indicate where deep convection is more likely to occur, if it is initiated. When air rises through a large depth of the atmosphere, extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result. 

This parameter shows how extreme the ensemble forecast of convective available potential energy (CAPE) is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1. 

 

  • The closer the EFI is to +1 or -1, the more extreme the forecast CAPE values are.
  • EFI = 0 indicates that extreme CAPE values are unlikely, although convection can still occur.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high CAPE values are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low CAPE values are expected, relative to the model climate.

See more information about the EFI . See more information about the ensemble forecast .

To help determine whether deep, moist convection will be initiated or not, the probability forecast for precipitation (for example) can be used, in conjunction with this parameter.

access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - *id186 - *id187 - *id188 - id: 132144 shortname: sfi longname: Snowfall index units: Numeric description: This parameter indicates how extreme the ensemble forecast accumulated total snowfall is relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that heavy snowfall is expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that little snowfall is expected, relative to the model climate.


This parameter is based on the accumulated total snow that has fallen to the Earth's surface. Snowfall is the sum of large-scale snowfall and convective snowfall. Large-scale snowfall is generated by the cloud scheme in the ECMWF Integrated Forecast System. The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective snowfall is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

See more information about the EFI. See more information about the ensemble forecast. access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - *id186 - *id187 - *id188 - id: 132165 shortname: 10wsi longname: 10 metre speed index units: Numeric description: This parameter indicates how extreme the ensemble forecast 10 metre wind speed is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very windy conditions are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very calm conditions are expected, relative to the model climate.


See more information about the EFI. See more information about the ensemble forecast .

The 10 metre speed is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth. access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - *id186 - *id187 - *id188 - id: 132167 shortname: 2ti longname: 2 metre temperature index units: Numeric description: This parameter indicates how extreme the ensemble forecast 2 metre temperature is, relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high temperatures are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low temperatures are expected, relative to the model climate.
See more information about the EFI. Seemore information about the ensemble forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - &id189 class: od stream: eefo type: efi levtype: sfc - &id190 class: od stream: eefo type: sot levtype: sfc - *id186 - *id187 - *id188 - id: 132201 shortname: mx2ti longname: Maximum temperature at 2 metres index units: Numeric description: This parameter indicates how extreme the ensemble forecast 2 metre maximum temperature is relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high maximum temperatures are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low maximum temperatures are expected, relative to the model climate.
Here, maximum temperature refers to the highest temperature of air at 2m above the surface of land, sea or in-land waters since the parameter was last archived in a particular forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - *id186 - *id187 - *id188 - id: 132202 shortname: mn2ti longname: Minimum temperature at 2 metres index units: Numeric description: This parameter indicates how extreme the ensemble forecast 2 metre minimum temperature is relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high minimum temperatures are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very low minimum temperatures are expected, relative to the model climate.
Here, maximum temperature refers to the highest temperature of air at 2m above the surface of land, sea or in-land waters since the parameter was last archived in a particular forecast.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - *id186 - *id187 - *id188 - id: 132216 shortname: maxswhi longname: Maximum of significant wave height index units: Numeric description: This parameter indicates how extreme the significant wave height is relative to the model climate. It is part of the ECMWF Extreme Forecast Index (EFI). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 where all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very high waves are expected, relative to the model climate.
  • EFI = -1 where all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very calm conditions are expected, relative to the model climate. See more information about the EFI. See more information about the ensemble forecast.


The significant wave height represents the average height of the highest third of surface ocean/sea waves, generated by local winds and associated with swell. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - class: od stream: waef type: efi levtype: sfc - class: od stream: waef type: efic levtype: sfc - class: od stream: waef type: sot levtype: sfc - id: 132228 shortname: tpi longname: Total precipitation index units: Numeric description: This parameter indicates how extreme the ensemble forecast total precipitation is relative to the model climate. It is one of the ECMWF Extreme Forecast Indices (EFIs). Values range from -1 to +1.

  • The closer the EFI is to +1 or -1, the more likely an extreme event is.
  • EFI = 0 indicates an extreme event is unlikely.
  • EFI = +1 occurs when all the ensemble members' forecast values are above the maximum of the model climate. In this case, it means that very wet conditions are expected, relative to the model climate.
  • EFI = -1 occurs when all the ensemble members' forecast values are below the minimum of the model climate. In this case, it means that very dry conditions are expected, relative to the model climate.
Note that, because precipitation cannot be less than zero, negative values of this parameter calculated for 24-hour (short-term) precipitation do not provide sensible information (typically a dry day is not extreme/unusual). For accumulation of precipitation over longer periods (10 to 15 days for example), negative values indicate extended periods of dry weather.

See more information about the EFI. See more information about the ensemble forecast . access_ids: - dissemination origin_ids: - 0 - 98 table: 132 mars_request_context: - *id189 - *id190 - *id186 - *id187 - *id188 - id: 133001 shortname: 2tplm10 longname: 2m temperature probability less than -10 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133002 shortname: 2tplm5 longname: 2m temperature probability less than -5 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133003 shortname: 2tpl0 longname: 2m temperature probability less than 0 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133004 shortname: 2tpl5 longname: 2m temperature probability less than 5 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133005 shortname: 2tpl10 longname: 2m temperature probability less than 10 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133006 shortname: 2tpg25 longname: 2m temperature probability greater than 25 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133007 shortname: 2tpg30 longname: 2m temperature probability greater than 30 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133008 shortname: 2tpg35 longname: 2m temperature probability greater than 35 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133009 shortname: 2tpg40 longname: 2m temperature probability greater than 40 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133010 shortname: 2tpg45 longname: 2m temperature probability greater than 45 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133011 shortname: mn2tplm10 longname: Minimum 2 metre temperature probability less than -10 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133012 shortname: mn2tplm5 longname: Minimum 2 metre temperature probability less than -5 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133013 shortname: mn2tpl0 longname: Minimum 2 metre temperature probability less than 0 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133014 shortname: mn2tpl5 longname: Minimum 2 metre temperature probability less than 5 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133015 shortname: mn2tpl10 longname: Minimum 2 metre temperature probability less than 10 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133016 shortname: mx2tpg25 longname: Maximum 2 metre temperature probability greater than 25 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133017 shortname: mx2tpg30 longname: Maximum 2 metre temperature probability greater than 30 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133018 shortname: mx2tpg35 longname: Maximum 2 metre temperature probability greater than 35 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133019 shortname: mx2tpg40 longname: Maximum 2 metre temperature probability greater than 40 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133020 shortname: mx2tpg45 longname: Maximum 2 metre temperature probability greater than 45 C units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133021 shortname: 10spg10 longname: 10 metre wind speed probability of at least 10 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133022 shortname: 10spg15 longname: 10 metre wind speed probability of at least 15 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133023 shortname: 10spg20 longname: 10 metre wind speed probability of at least 20 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133024 shortname: 10spg35 longname: 10 metre wind speed probability of at least 35 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133025 shortname: 10spg50 longname: 10 metre wind speed probability of at least 50 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133026 shortname: 10gpg20 longname: 10 metre wind gust probability of at least 20 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133027 shortname: 10gpg35 longname: 10 metre wind gust probability of at least 35 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133028 shortname: 10gpg50 longname: 10 metre wind gust probability of at least 50 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133029 shortname: 10gpg75 longname: 10 metre wind gust probability of at least 75 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133030 shortname: 10gpg100 longname: 10 metre wind gust probability of at least 100 m/s units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133031 shortname: tppg1 longname: Total precipitation probability of at least 1 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133032 shortname: tppg5 longname: Total precipitation probability of at least 5 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133033 shortname: tppg10 longname: Total precipitation probability of at least 10 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133034 shortname: tppg20 longname: Total precipitation probability of at least 20 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133035 shortname: tppg40 longname: Total precipitation probability of at least 40 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133036 shortname: tppg60 longname: Total precipitation probability of at least 60 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133037 shortname: tppg80 longname: Total precipitation probability of at least 80 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133038 shortname: tppg100 longname: Total precipitation probability of at least 100 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133039 shortname: tppg150 longname: Total precipitation probability of at least 150 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133040 shortname: tppg200 longname: Total precipitation probability of at least 200 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133041 shortname: tppg300 longname: Total precipitation probability of at least 300 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133042 shortname: sfpg1 longname: Snowfall probability of at least 1 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133043 shortname: sfpg5 longname: Snowfall probability of at least 5 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133044 shortname: sfpg10 longname: Snowfall probability of at least 10 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133045 shortname: sfpg20 longname: Snowfall probability of at least 20 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133046 shortname: sfpg40 longname: Snowfall probability of at least 40 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133047 shortname: sfpg60 longname: Snowfall probability of at least 60 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133048 shortname: sfpg80 longname: Snowfall probability of at least 80 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133049 shortname: sfpg100 longname: Snowfall probability of at least 100 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133050 shortname: sfpg150 longname: Snowfall probability of at least 150 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133051 shortname: sfpg200 longname: Snowfall probability of at least 200 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133052 shortname: sfpg300 longname: Snowfall probability of at least 300 mm units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133053 shortname: tccpg10 longname: Total Cloud Cover probability greater than 10% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133054 shortname: tccpg20 longname: Total Cloud Cover probability greater than 20% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133055 shortname: tccpg30 longname: Total Cloud Cover probability greater than 30% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133056 shortname: tccpg40 longname: Total Cloud Cover probability greater than 40% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133057 shortname: tccpg50 longname: Total Cloud Cover probability greater than 50% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133058 shortname: tccpg60 longname: Total Cloud Cover probability greater than 60% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133059 shortname: tccpg70 longname: Total Cloud Cover probability greater than 70% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133060 shortname: tccpg80 longname: Total Cloud Cover probability greater than 80% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133061 shortname: tccpg90 longname: Total Cloud Cover probability greater than 90% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133062 shortname: tccpg99 longname: Total Cloud Cover probability greater than 99% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133063 shortname: hccpg10 longname: High Cloud Cover probability greater than 10% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133064 shortname: hccpg20 longname: High Cloud Cover probability greater than 20% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133065 shortname: hccpg30 longname: High Cloud Cover probability greater than 30% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133066 shortname: hccpg40 longname: High Cloud Cover probability greater than 40% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133067 shortname: hccpg50 longname: High Cloud Cover probability greater than 50% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133068 shortname: hccpg60 longname: High Cloud Cover probability greater than 60% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133069 shortname: hccpg70 longname: High Cloud Cover probability greater than 70% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133070 shortname: hccpg80 longname: High Cloud Cover probability greater than 80% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133071 shortname: hccpg90 longname: High Cloud Cover probability greater than 90% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133072 shortname: hccpg99 longname: High Cloud Cover probability greater than 99% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133073 shortname: mccpg10 longname: Medium Cloud Cover probability greater than 10% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133074 shortname: mccpg20 longname: Medium Cloud Cover probability greater than 20% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133075 shortname: mccpg30 longname: Medium Cloud Cover probability greater than 30% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133076 shortname: mccpg40 longname: Medium Cloud Cover probability greater than 40% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133077 shortname: mccpg50 longname: Medium Cloud Cover probability greater than 50% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133078 shortname: mccpg60 longname: Medium Cloud Cover probability greater than 60% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133079 shortname: mccpg70 longname: Medium Cloud Cover probability greater than 70% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133080 shortname: mccpg80 longname: Medium Cloud Cover probability greater than 80% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133081 shortname: mccpg90 longname: Medium Cloud Cover probability greater than 90% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133082 shortname: mccpg99 longname: Medium Cloud Cover probability greater than 99% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133083 shortname: lccpg10 longname: Low Cloud Cover probability greater than 10% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133084 shortname: lccpg20 longname: Low Cloud Cover probability greater than 20% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133085 shortname: lccpg30 longname: Low Cloud Cover probability greater than 30% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133086 shortname: lccpg40 longname: Low Cloud Cover probability greater than 40% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133087 shortname: lccpg50 longname: Low Cloud Cover probability greater than 50% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133088 shortname: lccpg60 longname: Low Cloud Cover probability greater than 60% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133089 shortname: lccpg70 longname: Low Cloud Cover probability greater than 70% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133090 shortname: lccpg80 longname: Low Cloud Cover probability greater than 80% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133091 shortname: lccpg90 longname: Low Cloud Cover probability greater than 90% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133092 shortname: lccpg99 longname: Low Cloud Cover probability greater than 99% units: '%' description: null access_ids: [] origin_ids: - 98 table: 133 mars_request_context: [] - id: 133093 shortname: ptsa_gt_1stdev longname: Probability of temperature standardized anomaly greater than 1 standard deviation units: '%' description: Probability of temperature anomaly greater than 1 standard deviation of the climatology. Climatology is derived from and updated simultaneously with the operational re-forecasts. For the computation of the probability, the closest preceding climatology to the forecast base time is used. access_ids: - dissemination origin_ids: - 0 table: 133 mars_request_context: - *id180 - id: 133094 shortname: ptsa_gt_1p5stdev longname: Probability of temperature standardized anomaly greater than 1.5 standard deviation units: '%' description: Probability of temperature anomaly greater than 1.5 standard deviation of the climatology. Climatology is derived from and updated simultaneously with the operational re-forecasts. For the computation of the probability, the closest preceding climatology to the forecast base time is used. access_ids: - dissemination origin_ids: - 0 table: 133 mars_request_context: - *id180 - id: 133095 shortname: ptsa_gt_2stdev longname: Probability of temperature standardized anomaly greater than 2 standard deviation units: '%' description: Probability of temperature anomaly greater than 2 standard deviation of the climatology. Climatology is derived from and updated simultaneously with the operational re-forecasts. For the computation of the probability, the closest preceding climatology to the forecast base time is used. access_ids: - dissemination origin_ids: - 0 table: 133 mars_request_context: - *id180 - id: 133096 shortname: ptsa_lt_1stdev longname: Probability of temperature standardized anomaly less than -1 standard deviation units: '%' description: Probability of temperature anomaly less than -1 standard deviation of the climatology. Climatology is derived from and updated simultaneously with the operational re-forecasts. For the computation of the probability, the closest preceding climatology to the forecast base time is used. access_ids: - dissemination origin_ids: - 0 table: 133 mars_request_context: - *id180 - id: 133097 shortname: ptsa_lt_1p5stdev longname: Probability of temperature standardized anomaly less than -1.5 standard deviation units: '%' description: Probability of temperature anomaly less than -1.5 standard deviation of the climatology. Climatology is derived from and updated simultaneously with the operational re-forecasts. For the computation of the probability, the closest preceding climatology to the forecast base time is used. access_ids: - dissemination origin_ids: - 0 table: 133 mars_request_context: - *id180 - id: 133098 shortname: ptsa_lt_2stdev longname: Probability of temperature standardized anomaly less than -2 standard deviation units: '%' description: Probability of temperature anomaly less than -2 standard deviation of the climatology. Climatology is derived from and updated simultaneously with the operational re-forecasts. For the computation of the probability, the closest preceding climatology to the forecast base time is used. access_ids: - dissemination origin_ids: - 0 table: 133 mars_request_context: - *id180 - id: 140080 shortname: wx1 longname: Wave experimental parameter 1 units: '~' description: output parameter from the wave model, not yet in finalised form for operational production access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140081 shortname: wx2 longname: Wave experimental parameter 2 units: '~' description: output parameter from the wave model, not yet in finalised form for operational production access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140082 shortname: wx3 longname: Wave experimental parameter 3 units: '~' description: output parameter from the wave model, not yet in finalised form for operational production access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140083 shortname: wx4 longname: Wave experimental parameter 4 units: '~' description: output parameter from the wave model, not yet in finalised form for operational production access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140084 shortname: wx5 longname: Wave experimental parameter 5 units: '~' description: output parameter from the wave model, not yet in finalised form for operational production access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140098 shortname: weta longname: Wave induced mean sea level correction units: m description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - &id191 class: od stream: enwh type: cf levtype: sfc - &id192 class: od stream: enwh type: pf levtype: sfc - &id193 class: od stream: lwwv type: 4v levtype: sfc - &id194 class: od stream: lwwv type: an levtype: sfc - &id195 class: od stream: lwwv type: fc levtype: sfc - &id196 class: od stream: waef type: pf levtype: sfc - &id197 class: od stream: wave type: 4v levtype: sfc - &id198 class: od stream: wave type: an levtype: sfc - &id199 class: od stream: wave type: fc levtype: sfc - &id200 class: od stream: weef type: cf levtype: sfc - &id201 class: od stream: weef type: pf levtype: sfc - &id202 class: od stream: weeh type: cf levtype: sfc - &id203 class: od stream: weeh type: pf levtype: sfc - id: 140099 shortname: wraf longname: Ratio of wave angular and frequency width units: Numeric description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140100 shortname: wnslc longname: Number of events in freak waves statistics units: Numeric description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140101 shortname: utaua longname: U-component of atmospheric surface momentum flux units: N m**-2 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140102 shortname: vtaua longname: V-component of atmospheric surface momentum flux units: N m**-2 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140103 shortname: utauo longname: U-component of surface momentum flux into ocean units: N m**-2 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140104 shortname: vtauo longname: V-component of surface momentum flux into ocean units: N m**-2 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140105 shortname: wphio longname: Wave turbulent energy flux into ocean units: W m**-2 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140106 shortname: wdw1 longname: Wave directional width of first swell partition units: radians description: '' access_ids: [] origin_ids: - 0 - 98 table: 140 mars_request_context: [] - id: 140107 shortname: wfw1 longname: Wave frequency width of first swell partition units: dimensionless description: '' access_ids: [] origin_ids: - 0 - 98 table: 140 mars_request_context: [] - id: 140108 shortname: wdw2 longname: Wave directional width of second swell partition units: radians description: '' access_ids: [] origin_ids: - 0 - 98 table: 140 mars_request_context: [] - id: 140109 shortname: wfw2 longname: Wave frequency width of second swell partition units: dimensionless description: '' access_ids: [] origin_ids: - 0 - 98 table: 140 mars_request_context: [] - id: 140110 shortname: wdw3 longname: Wave directional width of third swell partition units: radians description: '' access_ids: [] origin_ids: - 0 - 98 table: 140 mars_request_context: [] - id: 140111 shortname: wfw3 longname: Wave frequency width of third swell partition units: dimensionless description: '' access_ids: [] origin_ids: - 0 - 98 table: 140 mars_request_context: [] - id: 140112 shortname: wefxm longname: Wave energy flux magnitude units: W m**-1 description: This parameter is the amount of energy from ocean/sea waves which are generated by local winds and associated with swell. It is the magnitude of the energy flux per unit length of wave crest, also known as the wave power per unit length of wave crest.

In deep water, the wave energy flux magnitude can be estimated from the mean wave period and the significant wave height. In the ECMWF Integrated Forecasting System, it is calculated by integrating the full two-dimensional wave spectrum multiplied by the wave group velocity (the velocity of the envelope of a group of waves of nearly equal frequencies). access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - &id204 class: od stream: ewla type: 4v levtype: sfc - &id205 class: od stream: ewla type: an levtype: sfc - &id206 class: od stream: ewla type: fc levtype: sfc - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140113 shortname: wefxd longname: Wave energy flux mean direction units: Degree true description: This parameter is the direction of the flux of energy of ocean/sea waves which are generated by local winds and associated with swell.

It is the spectral mean direction calculated by integrating the full two-dimensional wave energy spectrum multiplied by the wave group velocity (the velocity of the envelope of a group of waves of nearly equal frequencies).

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140114 shortname: h1012 longname: Significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 10 and 12 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/12 and 1/10 hertz (i.e. periods between 10 and 12 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140115 shortname: h1214 longname: Significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 12 and 14 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/14 and 1/12 hertz (i.e. periods between 12 and 14 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140116 shortname: h1417 longname: Significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 14 and 17 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/17 and 1/14 hertz (i.e. periods between 14 and 17 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140117 shortname: h1721 longname: Significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 17 and 21 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/21 and 1/17 hertz (i.e. periods between 17 and 21 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140118 shortname: h2125 longname: Significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 21 and 25 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/25 and 1/21 hertz (i.e. periods between 21 and 25 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140119 shortname: h2530 longname: Significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves that have a period between 25 and 30 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and all frequencies between 1/30 and 1/25 hertz (i.e. periods between 25 and 30 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140120 shortname: sh10 longname: Significant wave height of all waves with period larger than 10s units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves that have a period of longer than 10 seconds. It includes all waves generated by local winds and associated with swell. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

More strictly, this parameter is four times the square root of the integral over all directions of the two-dimensional wave spectrum and over frequencies less than 0.1 hertz (i.e. periods longer than 10 seconds). See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140121 shortname: swh1 longname: Significant wave height of first swell partition units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves associated with the first swell partition. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the first might be from one system at one location and another system at the neighbouring location). See further information.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the first swell partition of the two-dimensional swell spectrum. The swell spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are not under the influence of the local wind.

This parameter can be used to assess swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140122 shortname: mwd1 longname: Mean wave direction of first swell partition units: degrees description: This parameter is the mean direction of waves in the first swell partition.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the first swell partition might be from one system at one location and a different system at the neighbouring location). See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140123 shortname: mwp1 longname: Mean wave period of first swell partition units: s description: This parameter is the mean period of waves in the first swell partition. The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the first swell partition might be from one system at one location and a different system at the neighbouring location). See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140124 shortname: swh2 longname: Significant wave height of second swell partition units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves associated with the second swell partition. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the second might be from one system at one location and another system at the neighbouring location). See further information.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the first swell partition of the two-dimensional swell spectrum. The swell spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are not under the influence of the local wind.

This parameter can be used to assess swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140125 shortname: mwd2 longname: Mean wave direction of second swell partition units: degrees description: This parameter is the mean direction of waves in the second swell partition.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the second swell partition might be from one system at one location and a different system at the neighbouring location). See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140126 shortname: mwp2 longname: Mean wave period of second swell partition units: s description: This parameter is the mean period of waves in the second swell partition. The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the second swell partition might be from one system at one location and a different system at the neighbouring location). See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140127 shortname: swh3 longname: Significant wave height of third swell partition units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves associated with the third swell partition. Wave height represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the third might be from one system at one location and another system at the neighbouring location). See further information.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the first swell partition of the two-dimensional swell spectrum. The swell spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are not under the influence of the local wind.

This parameter can be used to assess swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140128 shortname: mwd3 longname: Mean wave direction of third swell partition units: degrees description: This parameter is the mean direction of waves in the third swell partition.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the third swell partition might be from one system at one location and a different system at the neighbouring location). See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140129 shortname: mwp3 longname: Mean wave period of third swell partition units: s description: This parameter is the mean period of waves in the third swell partition. The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.

In many situations, swell can be made up of different swell systems, for example, from two distant and separate storms. To account for this, the swell spectrum is partitioned into up to three parts. The swell partitions are labelled first, second and third based on their respective wave height. Therefore, there is no guarantee of spatial coherence (the third swell partition might be from one system at one location and a different system at the neighbouring location). See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140131 shortname: tdcmax longname: Time domain maximum individual crest height units: m description: "The detailed description of this parameter can be found in the appendix\ \ section of the following publication:\r\nFrancesco Barbariol, Jean-Raymond Bidlot,\ \ Luigi Cavaleri, Mauro Sclavo, Jim Thomson, Alvise Benetazzo\r\nmaximum wave\ \ heights from global model reanalysis\r\nProgress in Oceanography (IF4.08), Pub\ \ Date : 2019-07-01, DOI: 10.1016/j.pocean.2019.03.009\r\n \r\nSee equation 2." access_ids: - dissemination origin_ids: - 0 table: 140 mars_request_context: - *id191 - *id192 - *id194 - *id195 - *id196 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140132 shortname: tdhmax longname: Time domain maximum individual wave height units: m description: "The detailed description of this parameter can be found in the appendix\ \ section of the following publication:\r\nFrancesco Barbariol, Jean-Raymond Bidlot,\ \ Luigi Cavaleri, Mauro Sclavo, Jim Thomson, Alvise Benetazzo\r\nmaximum wave\ \ heights from global model reanalysis\r\nProgress in Oceanography (IF4.08), Pub\ \ Date : 2019-07-01, DOI: 10.1016/j.pocean.2019.03.009\r\n \r\nSee equation 5." access_ids: - dissemination origin_ids: - 0 table: 140 mars_request_context: - *id191 - *id192 - *id194 - *id195 - *id196 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140133 shortname: stcmax longname: Space time maximum individual crest height units: m description: "The detailed description of this parameter can be found in the appendix\ \ section of the following publication:\r\nFrancesco Barbariol, Jean-Raymond Bidlot,\ \ Luigi Cavaleri, Mauro Sclavo, Jim Thomson, Alvise Benetazzo\r\nmaximum wave\ \ heights from global model reanalysis\r\nProgress in Oceanography (IF4.08), Pub\ \ Date : 2019-07-01, DOI: 10.1016/j.pocean.2019.03.009\r\n \r\nSee equation 10." access_ids: - dissemination origin_ids: - 0 table: 140 mars_request_context: - *id191 - *id192 - *id194 - *id195 - *id196 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140134 shortname: sthmax longname: Space time maximum individual wave height units: m description: "The detailed description of this parameter can be found in the appendix\ \ section of the following publication:\r\nFrancesco Barbariol, Jean-Raymond Bidlot,\ \ Luigi Cavaleri, Mauro Sclavo, Jim Thomson, Alvise Benetazzo\r\nmaximum wave\ \ heights from global model reanalysis\r\nProgress in Oceanography (IF4.08), Pub\ \ Date : 2019-07-01, DOI: 10.1016/j.pocean.2019.03.009\r\n \r\nSee equation 11." access_ids: - dissemination origin_ids: - 0 table: 140 mars_request_context: - *id191 - *id192 - *id194 - *id195 - *id196 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140135 shortname: pp1dw longname: Peak wave period of wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140136 shortname: pp1ds longname: Peak wave period of total swell units: s description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140137 shortname: pp1d1 longname: Peak wave period of first swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140138 shortname: pp1d2 longname: Peak wave period of second swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140139 shortname: pp1d3 longname: Peak wave period of third swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140140 shortname: pwd longname: Peak wave direction (total) units: Degree true description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140141 shortname: pwdw longname: Peak wave direction of wind waves units: Degree true description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140142 shortname: pwds longname: Peak wave direction of total swell units: Degree true description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140143 shortname: pwd1 longname: Peak wave direction of first swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140144 shortname: pwd2 longname: Peak wave direction of second swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140145 shortname: pwd3 longname: Peak wave direction of third swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140146 shortname: wcfr longname: Whitecap fraction units: Fraction description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140147 shortname: bfi2d longname: Benjamin-Feir index 2D units: Numeric description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140148 shortname: ctc longname: Crest-trough correlation units: Numeric description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140149 shortname: xwrs longname: X component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140150 shortname: ywrs longname: Y component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 140 mars_request_context: [] - id: 140200 shortname: maxswh longname: Maximum of significant wave height units: m description: This parameter is used to give the significant wave height climate distribution as obtained from the wave ensemble forecast hindcast runs access_ids: [] origin_ids: - 98 table: 140 mars_request_context: - class: od stream: wehs type: cd levtype: sfc - id: 140207 shortname: wss longname: Wave Spectral Skewness units: Numeric description: This parameter is a statistical measure used to forecast extreme or freak ocean/sea waves. It describes the nature of the sea surface elevation and how it is affected by waves generated by local winds and associated with swell.

Under typical conditions, the sea surface elevation, as described by its probability density function, has a near normal distribution in the statistical sense. However, under certain wave conditions the probability density function of the sea surface elevation can deviate considerably from normality, signalling increased probability of freak waves.

This parameter gives one measure of the deviation from normality. It is a measure of the asymmetry of the probability density function of the sea surface elevation. So, a positive/negative skewness (typical range -0.2 to 0.12) means more frequent occurrences of extreme values above/below the mean, relative to a normal distribution. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140208 shortname: wstar longname: Free convective velocity over the oceans units: m s**-1 description: This parameter is an estimate of the vertical velocity of updraughts generated by free convection. Free convection is fluid motion induced by buoyancy forces, which are driven by density gradients. The free convective velocity is used to estimate the impact of wind gusts on ocean wave growth.

It is calculated at the height of the lowest temperature inversion (the height above the surface of the Earth where the temperature increases with height).

This parameter is one of the parameters used to force the wave model, therefore it is only calculated over water bodies represented in the ocean wave model. It is interpolated from the atmospheric model horizontal grid onto the horizontal grid used by the ocean wave model. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140209 shortname: rhoao longname: Air density over the oceans units: kg m**-3 description: This parameter is the mass of air per cubic metre over the oceans, derived from the temperature, specific humidity and pressure at the lowest model level in the atmospheric model.

This parameter is one of the parameters used to force the wave model, therefore it is only calculated over water bodies represented in the ocean wave model. It is interpolated from the atmospheric model horizontal grid onto the horizontal grid used by the ocean wave model. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140210 shortname: mswsi longname: Mean square wave strain in sea ice units: '~' description: 'When waves propagate into a sea ice field, they generate mechanical strain onto the floating ice sheets. This can be estimated in mean square sense by computing the following integral over frequency (f):
Int {F(f) E(f)^2 df},
where
F(f) is the frequency wave spectrum.
E(f) is the strain in the ice:
E(f) = h k_ice^3 / (2k)
with h the ice thickness, k the wave number in the water, k_ice is the wave number under the ice.' access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140211 shortname: phiaw longname: Normalized energy flux into waves units: Numeric description: 'This parameter is the normalised vertical flux of energy from wind into the ocean waves. A positive flux implies a flux into the waves.

The energy flux has units of Watts per metre squared, and this is normalised by being divided by the product of air density and the cube of the friction velocity.
Parameters are normalised by being divided by the product of air density and the square of the friction velocity.' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - id: 140212 shortname: phioc longname: Normalized energy flux into ocean units: Numeric description: 'This parameter is the normalised vertical flux of turbulent kinetic energy from ocean waves into the ocean. The energy flux is calculated from an estimation of white capping waves across the surface of the ocean. A white capping wave is one that appears white at its crest as it breaks, due to air being mixed into the water. When waves break in this way, there is a transfer of energy from the waves to the ocean. A negative flux implies a flux from the waves into the ocean.

The energy flux has units of Watts per metre squared, and this is normalised by being divided by the product of air density and the cube of the friction velocity.
Parameters are normalised by being divided by the product of air density and the square of the friction velocity.' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - id: 140213 shortname: tla longname: Turbulent Langmuir number units: '~' description: 'Square root of the ratio of friction velocity to the surface Stokes drift. This parameter is currently not produced.' access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140214 shortname: tauoc longname: Normalized stress into ocean units: Numeric description: 'This parameter is the normalised surface stress, or momentum flux, from the air into the ocean due to turbulence at the air-sea interface and breaking waves. It does not include the flux used to generate waves. The ECMWF convention for vertical fluxes is positive downwards.

The stress has units of Newtons per metre squared, and this is normalised by being divided by the product of air density and the square of the friction velocity.
Parameters are normalised by being divided by the product of air density and the square of the friction velocity.' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - id: 140215 shortname: ust longname: U-component surface stokes drift units: m s**-1 description: This parameter is the eastward component of the surface Stokes drift. The Stokes drift is the net drift velocity due to surface wind waves. It is confined to the upper few metres of the ocean water column, with the largest value at the surface.

For example, a fluid particle near the surface will slowly move in the direction of wave propagation. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140216 shortname: vst longname: V-component surface stokes drift units: m s**-1 description: This parameter is the northward component of the surface Stokes drift. The Stokes drift is the net drift velocity due to surface wind waves. It is confined to the upper few metres of the ocean water column, with the largest value at the surface.

For example, a fluid particle near the surface will slowly move in the direction of wave propagation. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140217 shortname: tmax longname: Period corresponding to maximum individual wave height units: s description: This parameter is the period of the expected highest individual wave within a 20-minute time window. It can be used as a guide to the characteristics of extreme or freak waves. Wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

Occasionally waves of different periods reinforce and interact non-linearly giving a wave height considerably larger than the significant wave height. If the maximum individual wave height is more than twice the significant wave height, then the wave is considered to be a freak wave. The significant wave height represents the average height of the highest third of surface ocean/sea waves, generated by local winds and associated with swell.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived statistically from the two-dimensional wave spectrum. See further information.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140218 shortname: hmax longname: Envelop-maximum individual wave height units: m description:

This parameter is an estimate of the height of the expected highest individual wave within a 20 minute time window. It can be used as a guide to the likelihood of extreme or freak waves.

The interactions between waves are non-linear and occasionally concentrate wave energy giving a wave height considerably larger than the significant wave height. If the maximum individual wave height is more than twice the significant wave height, then the wave is considered as a freak wave. The significant wave height represents the average height of the highest third of surface ocean/sea waves, generated by local winds and associated with swell. 

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived statistically from the two-dimensional wave spectrum. See further information.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140219 shortname: wmb longname: Model bathymetry units: m description: This parameter is the depth of water from the surface to the bottom of the ocean. It is used by the ocean wave model to specify the propagation properties of the different waves that could be present.

Note that the ocean wave model grid is too coarse to resolve some small islands and mountains on the bottom of the ocean, but they can have an impact on surface ocean waves. The ocean wave model has been modified to reduce the wave energy flowing around or over features at spatial scales smaller than the grid box. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140220 shortname: mp1 longname: Mean wave period based on first moment units: s description: This parameter is the reciprocal of the mean frequency of the wave components that represent the sea state. All wave components have been averaged proportionally to their respective amplitude. This parameter can be used to estimate the magnitude of Stokes drift transport in deep water.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). Moments are statistical quantities derived from the two-dimensional wave spectrum. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - &id210 class: od stream: swmm type: fcmax levtype: sfc - &id211 class: od stream: swmm type: fcmean levtype: sfc - &id212 class: od stream: swmm type: fcmin levtype: sfc - &id213 class: od stream: swmm type: fcstdev levtype: sfc - *id196 - &id214 class: od stream: wasf type: fc levtype: sfc - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140221 shortname: mp2 longname: Mean zero-crossing wave period units: s description: This parameter represents the mean length of time between occasions where the sea/ocean surface crosses mean sea level. In combination with wave height information, it could be used to assess the length of time that a coastal structure might be under water, for example.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). In the ECMWF Integrated Forecasting System this parameter is calculated from the characteristics of the two-dimensional wave spectrum. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id210 - *id211 - *id212 - *id213 - *id196 - *id214 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140222 shortname: wdw longname: Wave spectral directional width units: radians description: This parameter indicates whether waves (generated by local winds and associated with swell) are coming from similar directions or from a wide range of directions.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). Many ECMWF wave parameters (such as the mean wave period) give information averaged over all wave frequencies and directions, so do not give any information about the distribution of wave energy across frequencies and directions. This parameter gives more information about the nature of the two-dimensional wave spectrum. This parameter is a measure of the range of wave directions for each frequency integrated across the two-dimensional spectrum.

This parameter takes values between 0 and the square root of 2. Where 0 corresponds to a uni-directional spectrum (i.e., all wave frequencies from the same direction) and the square root of 2 indicates a uniform spectrum (i.e., all wave frequencies from a different direction). access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140223 shortname: p1ww longname: Mean wave period based on first moment for wind waves units: s description: This parameter is the reciprocal of the mean frequency of the wave components generated by local winds. All wave components have been averaged proportionally to their respective amplitude. This parameter can be used to estimate the magnitude of Stokes drift transport in deep water associated with wind waves.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.This parameter takes account of wind-sea waves only. Moments are statistical quantities derived from the two-dimensional wave spectrum. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140224 shortname: p2ww longname: Mean wave period based on second moment for wind waves units: s description: This parameter is equivalent to the zero-crossing mean wave period for waves generated by local winds. The zero-crossing mean wave period represents the mean length of time between occasions where the sea/ocean surface crosses a defined zeroth level (such as mean sea level).

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. Moments are statistical quantities derived from the two-dimensional wave spectrum. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140225 shortname: dwww longname: Wave spectral directional width for wind waves units: radians description: This parameter indicates whether waves generated by the local wind are coming from similar directions or from a wide range of directions.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of wind-sea waves only.

Many ECMWF wave parameters (such as the mean wave period) give information averaged over all wave frequencies and directions, so do not give any information about the distribution of wave energy across frequencies and directions. This parameter gives more information about the nature of the two-dimensional wave spectrum. This parameter is a measure of the range of wave directions for each frequency integrated across the two-dimensional spectrum.

This parameter takes values between 0 and the square root of 2. Where 0 corresponds to a uni-directional spectrum (i.e., all wave frequencies from the same direction) and the square root of 2 indicates a uniform spectrum (i.e., all wave frequencies from a different direction). access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140226 shortname: p1ps longname: Mean wave period based on first moment for swell units: s description: This parameter is the reciprocal of the mean frequency of the wave components associated with swell. All wave components have been averaged proportionally to their respective amplitude. This parameter can be used to estimate the magnitude of Stokes drift transport in deep water associated with swell.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.This parameter takes account of all swell only. Moments are statistical quantities derived from the two-dimensional wave spectrum. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140227 shortname: p2ps longname: Mean wave period based on second moment for swell units: s description: This parameter is equivalent to the zero-crossing mean wave period for swell. The zero-crossing mean wave period represents the mean length of time between occasions where the sea/ocean surface crosses a defined zeroth level (such as mean sea level).

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. Moments are statistical quantities derived from the two-dimensional wave spectrum. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140228 shortname: dwps longname: Wave spectral directional width for swell units: radians description: This parameter indicates whether waves associated with swell are coming from similar directions or from a wide range of directions.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of all swell only.

Many ECMWF wave parameters (such as the mean wave period) give information averaged over all wave frequencies and directions, so do not give any information about the distribution of wave energy across frequencies and directions. This parameter gives more information about the nature of the two-dimensional wave spectrum. This parameter is a measure of the range of wave directions for each frequency integrated across the two-dimensional spectrum.

This parameter takes values between 0 and the square root of 2. Where 0 corresponds to a uni-directional spectrum (i.e., all wave frequencies from the same direction) and the square root of 2 indicates a uniform spectrum (i.e., all wave frequencies from a different direction). access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140229 shortname: swh longname: Significant height of combined wind waves and swell units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves generated by wind and swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum).

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the two-dimensional wave spectrum. See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - &id215 class: od stream: enwh type: fcmax levtype: sfc - &id216 class: od stream: enwh type: fcmean levtype: sfc - &id217 class: od stream: enwh type: fcmin levtype: sfc - &id218 class: od stream: enwh type: fcstdev levtype: sfc - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id210 - *id211 - *id212 - *id213 - *id196 - *id214 - *id197 - *id198 - *id199 - *id200 - &id219 class: od stream: weef type: fcmax levtype: sfc - &id220 class: od stream: weef type: fcmean levtype: sfc - &id221 class: od stream: weef type: fcmin levtype: sfc - &id222 class: od stream: weef type: fcstdev levtype: sfc - *id201 - *id202 - &id223 class: od stream: weeh type: fcmax levtype: sfc - &id224 class: od stream: weeh type: fcmean levtype: sfc - &id225 class: od stream: weeh type: fcmin levtype: sfc - &id226 class: od stream: weeh type: fcstdev levtype: sfc - *id203 - id: 140230 shortname: mwd longname: Mean wave direction units: Degree true description: This parameter is the mean direction of ocean/sea surface waves. The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is a mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use this type of wave information when designing structures in the open ocean, such as oil platforms, or in coastal applications.

The units are degree true which means the direction relative to the geographic location of the north pole. Zero means 'coming from the north' and 90 'coming from the east'. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id214 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140231 shortname: pp1d longname: Peak wave period units: s description: This parameter represents the period of the most energetic ocean waves generated by local winds and associated with swell. The wave period is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is calculated from the reciprocal of the frequency corresponding to the largest value (peak) of the frequency wave spectrum. The frequency wave spectrum is obtained by integrating the two-dimensional wave spectrum over all directions.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id215 - *id216 - *id217 - *id218 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id210 - *id211 - *id212 - *id213 - *id196 - *id214 - *id197 - *id198 - *id199 - *id200 - *id219 - *id220 - *id221 - *id222 - *id201 - *id202 - *id223 - *id224 - *id225 - *id226 - *id203 - id: 140232 shortname: mwp longname: Mean wave period units: s description: This parameter is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea, to pass through a fixed point. The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is a mean over all frequencies and directions of the two-dimensional wave spectrum.

The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of both. See further documentation.

This parameter can be used to assess sea state and swell. For example, engineers use such wave information when designing structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id215 - *id216 - *id217 - *id218 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id210 - *id211 - *id212 - *id213 - *id196 - *id214 - *id197 - *id198 - *id199 - *id200 - *id219 - *id220 - *id221 - *id222 - *id201 - *id202 - *id223 - *id224 - *id225 - *id226 - *id203 - id: 140233 shortname: cdww longname: Coefficient of drag with waves units: dimensionless description: This parameter is the resistance that ocean waves exert on the atmosphere. It is sometimes also called a 'friction coefficient'.

It is calculated by the wave model as the ratio of the square of the friction velocity, to the square of the neutral wind speed at a height of 10 metres above the surface of the Earth.

The neutral wind is calculated from the surface stress and the corresponding roughness length by assuming that the air is neutrally stratified. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on the sea state. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id207 - *id208 - *id209 - *id191 - *id215 - *id216 - *id217 - *id218 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id210 - *id211 - *id212 - *id213 - *id196 - *id214 - *id197 - *id198 - *id199 - *id200 - *id219 - *id220 - *id221 - *id222 - *id201 - *id202 - *id223 - *id224 - *id225 - *id226 - *id203 - id: 140234 shortname: shww longname: Significant height of wind waves units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves generated by the local wind. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of wind-sea waves only.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the two-dimensional wind-sea wave spectrum. The wind-sea wave spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are still under the influence of the local wind. See further documentation.

This parameter can be used to assess wind-sea waves. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140235 shortname: mdww longname: Mean direction of wind waves units: degrees description: The mean direction of waves generated by local winds.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.This parameter takes account of wind-sea waves only. It is the mean over all frequencies and directions of the total wind-sea wave spectrum. See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140236 shortname: mpww longname: Mean period of wind waves units: s description: This parameter is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea generated by local winds, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of wind-sea waves only. It is the mean over all frequencies and directions of the total wind-sea spectrum. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140237 shortname: shts longname: Significant height of total swell units: m description: This parameter represents the average height of the highest third of surface ocean/sea waves associated with swell. It represents the vertical distance between the wave crest and the wave trough.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of total swell only.

More strictly, this parameter is four times the square root of the integral over all directions and all frequencies of the two-dimensional total swell spectrum. The total swell spectrum is obtained by only considering the components of the two-dimensional wave spectrum that are not under the influence of the local wind. See further documentation.

This parameter can be used to assess swell. For example, engineers use significant wave height to calculate the load on structures in the open ocean, such as oil platforms, or in coastal applications. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140238 shortname: mdts longname: Mean direction of total swell units: degrees description: This parameter is the mean direction of waves associated with swell.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time.This parameter takes account of all swell only. It is the mean over all frequencies and directions of the total swell spectrum. See further information.

The units are degrees true which means the direction relative to the geographic location of the north pole. It is the direction that waves are coming FROM, so zero means 'coming from the north' and 90 'coming from the east'. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140239 shortname: mpts longname: Mean period of total swell units: s description: This parameter is the average time it takes for two consecutive wave crests, on the surface of the ocean/sea associated with swell, to pass through a fixed point.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). The wave spectrum can be decomposed into wind-sea waves, which are directly affected by local winds, and swell, the waves that were generated by the wind at a different location and time. This parameter takes account of all swell only. It is the mean over all frequencies and directions of the total swell spectrum. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140240 shortname: sdhs longname: Standard deviation wave height units: m description:

Used only for post processed wave climate fields before ERA-interim.

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140241 shortname: mu10 longname: Mean of 10 metre wind speed units: m s**-1 description:

Used only for post processed wave climate fields before ERA-interim.

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140242 shortname: mdwi longname: Mean wind direction units: degrees description:

Used only for post processed wave climate fields before ERA-interim.

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140243 shortname: sdu longname: Standard deviation of 10 metre wind speed units: m s**-1 description:

Used only for post processed wave climate fields before ERA-interim.

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140244 shortname: msqs longname: Mean square slope of waves units: dimensionless description: This parameter can be related analytically to the average slope of combined wind-sea and swell waves. It can also be expressed as a function of wind speed under some statistical assumptions. The higher the slope, the steeper the waves. This parameter indicates the roughness of the sea/ocean surface which affects the interaction between ocean and atmosphere. See further information.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived statistically from the two-dimensional wave spectrum. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id210 - *id211 - *id212 - *id213 - *id196 - *id214 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140245 shortname: wind longname: 10 metre wind speed units: m s**-1 description: 'This parameter is the horizontal speed of the ''neutral wind'', at a height of ten metres above the surface of the Earth. The units of this parameter are metres per second.

The neutral wind is calculated from the surface stress and the corresponding roughness length by assuming that the air is neutrally stratified. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on sea state.

This parameter is the wind speed used to force the wave model, therefore it is only calculated over water bodies represented in the ocean wave model. It is interpolated from the atmospheric model''s horizontal grid onto the horizontal grid used by the ocean wave model. ' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id215 - *id216 - *id217 - *id218 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id210 - *id211 - *id212 - *id213 - *id196 - *id214 - *id197 - *id198 - *id199 - *id200 - *id219 - *id220 - *id221 - *id222 - *id201 - *id202 - *id223 - *id224 - *id225 - *id226 - *id203 - id: 140246 shortname: awh longname: Altimeter wave height units: m description: ' Gridded altimeter wave height data as presented to the wave model data assimilation scheme. This parameter only exists as type analysis.' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id204 - *id205 - *id193 - *id194 - *id197 - *id198 - id: 140247 shortname: acwh longname: Altimeter corrected wave height units: m description: ' Gridded bias corrected altimeter wave height data as presented to the wave model data assimilation scheme. This parameter only exists as type analysis.' access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id204 - *id205 - *id193 - *id194 - *id197 - *id198 - id: 140248 shortname: arrc longname: Altimeter range relative correction units: '~' description: Gridded altimeter range correction as determined from the wave model.
This parameter only exists as type analysis. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id204 - *id205 - *id193 - *id194 - *id197 - *id198 - id: 140249 shortname: dwi longname: 10 metre wind direction units: degrees description: This parameter is the direction from which the 'neutral wind' blows, in degrees clockwise from true north, at a height of ten metres above the surface of the Earth.

The neutral wind is calculated from the surface stress and roughness length by assuming that the air is neutrally stratified. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on the sea state.

This parameter is the wind direction used to force the wave model, therefore it is only calculated over water bodies represented in the ocean wave model. It is interpolated from the atmospheric model's horizontal grid onto the horizontal grid used by the ocean wave model. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id214 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140250 shortname: 2dsp longname: 2D wave spectra (multiple) units: m**2 s radian**-1 description: This parameter has not been used since 1998. It has been replaced by 2D wave spectra (single) access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 140251 shortname: 2dfd longname: 2D wave spectra (single) units: m**2 s radian**-1 description: The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter represents the wave energy for each frequency and direction at each model grid point i.e., it describes the contribution to the frequency and direction of the two-dimensional wave spectrum.

Strictly, this parameter is the base ten logarithm of the spectral density of ocean waves in two dimensions (across the horizontal surface of the ocean). Therefore, all values (except missing data) need to be raised to the power of ten to give the spectral density. 'Missing data' is indicated by a value of 0. The spectral density describes the combination of waves with different heights, lengths and directions. See further documentation. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140252 shortname: wsk longname: Wave spectral kurtosis units: dimensionless description: This parameter is a statistical measure used to forecast extreme or freak ocean/sea waves. It describes the nature of the sea surface elevation and how it is affected by waves generated by local winds and associated with swell.

Under typical conditions, the sea surface elevation, as described by its probability density function, has a near normal distribution in the statistical sense. However, under certain wave conditions the probability density function of the sea surface elevation can deviate considerably from normality, signalling increased probability of freak waves.

This parameter gives one measure of the deviation from normality. It shows how much of the probability density function of the sea surface elevation exists in the tails of the distribution. So, a positive kurtosis (typical range 0.0 to 0.06) means more frequent occurrences of very extreme values (either above or below the mean), relative to a normal distribution. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140253 shortname: bfi longname: Benjamin-Feir index units: dimensionless description: This parameter is used to calculate the likelihood of freak ocean waves, which are waves that are higher than twice the mean height of the highest third of waves. Large values of this parameter (in practice of the order 1) indicate increased probability of the occurrence of freak waves.

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). This parameter is derived from the statistics of the two-dimensional wave spectrum. More precisely, it is the square of the ratio of the integral ocean wave steepness and the relative width of the frequency spectrum of the waves.

Further information on the calculation of this parameter is given in Section 10.6 of the ECMWF Wave Model documentation. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140254 shortname: wsp longname: Wave spectral peakedness units: dimensionless description: This parameter is a statistical measure used to forecast extreme or freak waves. It is a measure of the relative width of the ocean/sea wave frequency spectrum (i.e., whether the ocean/sea wave field is made up of a narrow or broad range of frequencies).

The ocean/sea surface wave field consists of a combination of waves with different heights, lengths and directions (known as the two-dimensional wave spectrum). When the wave field is more focussed around a narrow range of frequencies, the probability of freak/extreme waves increases.

This parameter is Goda's peakedness factor and is used to calculate the Benjamin-Feir Index (BFI). The BFI is in turn used to estimate the probability and nature of extreme/freak waves. access_ids: - dissemination origin_ids: - 0 - 98 table: 140 mars_request_context: - *id191 - *id192 - *id204 - *id205 - *id206 - *id193 - *id194 - *id195 - *id196 - *id197 - *id198 - *id199 - *id200 - *id201 - *id202 - *id203 - id: 140255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 140 mars_request_context: [] - id: 141098 shortname: avg_weta longname: Time-mean wave induced mean sea level correction units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141099 shortname: avg_wraf longname: Time-mean ratio of wave angular and frequency width units: Numeric description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141100 shortname: avg_wnslc longname: Time-mean number of events in freak waves statistics units: Numeric description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141101 shortname: avg_utaua longname: Time-mean U-component of atmospheric surface momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141102 shortname: avg_vtaua longname: Time-mean V-component of atmospheric surface momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141103 shortname: avg_utauo longname: Time-mean U-component of surface momentum flux into ocean units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141104 shortname: avg_vtauo longname: Time-mean V-component of surface momentum flux into ocean units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141105 shortname: avg_wphio longname: Time-mean wave turbulent energy flux into ocean units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141106 shortname: avg_wdw1 longname: Time-mean wave directional width of first swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141107 shortname: avg_wfw1 longname: Time-mean wave frequency width of first swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141108 shortname: avg_wdw2 longname: Time-mean wave directional width of second swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141109 shortname: avg_wfw2 longname: Time-mean wave frequency width of second swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141110 shortname: avg_wdw3 longname: Time-mean wave directional width of third swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141111 shortname: avg_wfw3 longname: Time-mean wave frequency width of third swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141112 shortname: avg_wefxm longname: Time-mean wave energy flux magnitude units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141113 shortname: avg_wefxd longname: Time-mean wave energy flux mean direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141114 shortname: avg_h1012 longname: Time-mean significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141115 shortname: avg_h1214 longname: Time-mean significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141116 shortname: avg_h1417 longname: Time-mean significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141117 shortname: avg_h1721 longname: Time-mean significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141118 shortname: avg_h2125 longname: Time-mean significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141119 shortname: avg_h2530 longname: Time-mean significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141120 shortname: avg_sh10 longname: Time-mean significant wave height of all waves with period larger than 10s units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141121 shortname: avg_swh1 longname: Time-mean significant wave height of first swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141122 shortname: avg_mwd1 longname: Time-mean mean wave direction of first swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141123 shortname: avg_mwp1 longname: Time-mean mean wave period of first swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141124 shortname: avg_swh2 longname: Time-mean significant wave height of second swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141125 shortname: avg_mwd2 longname: Time-mean mean wave direction of second swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141126 shortname: avg_mwp2 longname: Time-mean mean wave period of second swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141127 shortname: avg_swh3 longname: Time-mean significant wave height of third swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141128 shortname: avg_mwd3 longname: Time-mean mean wave direction of third swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141129 shortname: avg_mwp3 longname: Time-mean mean wave period of third swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141131 shortname: avg_tdcmax longname: Time-mean time domain maximum individual crest height units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141132 shortname: avg_tdhmax longname: Time-mean time domain maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141133 shortname: avg_stcmax longname: Time-mean space time maximum individual crest height units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141134 shortname: avg_sthmax longname: Time-mean space time maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141135 shortname: avg_pp1dw longname: Time-mean peak wave period of wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141136 shortname: avg_pp1ds longname: Time-mean peak wave period of total swell units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141137 shortname: avg_pp1d1 longname: Time-mean peak wave period of first swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141138 shortname: avg_pp1d2 longname: Time-mean peak wave period of second swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141139 shortname: avg_pp1d3 longname: Time-mean peak wave period of third swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141140 shortname: avg_pwd longname: Time-mean peak wave direction (total) units: Degree true description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141141 shortname: avg_pwdw longname: Time-mean peak wave direction of wind waves units: Degree true description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141142 shortname: avg_pwds longname: Time-mean peak wave direction of total swell units: Degree true description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141143 shortname: avg_pwd1 longname: Time-mean peak wave direction of first swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141144 shortname: avg_pwd2 longname: Time-mean peak wave direction of second swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141145 shortname: avg_pwd3 longname: Time-mean peak wave direction of third swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141146 shortname: avg_wcfr longname: Time-mean whitecap fraction units: Fraction description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141147 shortname: avg_bfi2d longname: Time-mean Benjamin-Feir index 2D units: Numeric description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141148 shortname: avg_ctc longname: Time-mean crest-trough correlation units: Numeric description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141149 shortname: avg_xwrs longname: Time-mean X component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141150 shortname: avg_ywrs longname: Time-mean Y component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141207 shortname: avg_wss longname: Time-mean wave Spectral Skewness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141208 shortname: avg_wstar longname: Time-mean free convective velocity over the oceans units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141209 shortname: avg_rhoao longname: Time-mean air density over the oceans units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141211 shortname: avg_phiaw longname: Time-mean normalized energy flux into waves units: Numeric description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141212 shortname: avg_phioc longname: Time-mean normalized energy flux into ocean units: Numeric description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141214 shortname: avg_tauoc longname: Time-mean normalized stress into ocean units: Numeric description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141215 shortname: avg_ust longname: Time-mean U-component surface stokes drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141216 shortname: avg_vst longname: Time-mean V-component surface stokes drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141217 shortname: avg_tmax longname: Time-mean period corresponding to maximum individual wave height units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141218 shortname: avg_hmax longname: Time-mean envelop-maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141220 shortname: avg_mp1 longname: Time-mean mean wave period based on first moment units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141221 shortname: avg_mp2 longname: Time-mean mean zero-crossing wave period units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141222 shortname: avg_wdw longname: Time-mean wave spectral directional width units: radians description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141223 shortname: avg_p1ww longname: Time-mean mean wave period based on first moment for wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141224 shortname: avg_p2ww longname: Time-mean mean wave period based on second moment for wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141225 shortname: avg_dwww longname: Time-mean wave spectral directional width for wind waves units: radians description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141226 shortname: avg_p1ps longname: Time-mean mean wave period based on first moment for swell units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141227 shortname: avg_p2ps longname: Time-mean mean wave period based on second moment for swell units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141228 shortname: avg_dwps longname: Time-mean wave spectral directional width for swell units: radians description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141229 shortname: avg_swh longname: Time-mean significant height of combined wind waves and swell units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141230 shortname: avg_mwd longname: Time-mean mean wave direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141231 shortname: avg_pp1d longname: Time-mean peak wave period units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141232 shortname: avg_mwp longname: Time-mean mean wave period units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141233 shortname: avg_cdww longname: Time-mean coefficient of drag with waves units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141234 shortname: avg_shww longname: Time-mean significant height of wind waves units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141235 shortname: avg_mdww longname: Time-mean mean direction of wind waves units: degrees description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141236 shortname: avg_mpww longname: Time-mean mean period of wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141237 shortname: avg_shts longname: Time-mean significant height of total swell units: m description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141238 shortname: avg_mdts longname: Time-mean mean direction of total swell units: degrees description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141239 shortname: avg_mpts longname: Time-mean mean period of total swell units: s description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141244 shortname: avg_msqs longname: Time-mean mean square slope of waves units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141245 shortname: avg_wind longname: Time-mean 10 metre wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141249 shortname: avg_dwi longname: Time-mean 10 metre wind direction units: degrees description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141252 shortname: avg_wsk longname: Time-mean wave spectral kurtosis units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141253 shortname: avg_bfi longname: Time-mean benjamin-Feir index units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 141254 shortname: avg_wsp longname: Time-mean wave spectral peakedness units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 141 mars_request_context: [] - id: 143098 shortname: max_weta longname: Time-maximum wave induced mean sea level correction units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143099 shortname: max_wraf longname: Time-maximum ratio of wave angular and frequency width units: Numeric description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143100 shortname: max_wnslc longname: Time-maximum number of events in freak waves statistics units: Numeric description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143101 shortname: max_utaua longname: Time-maximum U-component of atmospheric surface momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143102 shortname: max_vtaua longname: Time-maximum V-component of atmospheric surface momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143103 shortname: max_utauo longname: Time-maximum U-component of surface momentum flux into ocean units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143104 shortname: max_vtauo longname: Time-maximum V-component of surface momentum flux into ocean units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143105 shortname: max_wphio longname: Time-maximum wave turbulent energy flux into ocean units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143106 shortname: max_wdw1 longname: Time-maximum wave directional width of first swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143107 shortname: max_wfw1 longname: Time-maximum wave frequency width of first swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143108 shortname: max_wdw2 longname: Time-maximum wave directional width of second swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143109 shortname: max_wfw2 longname: Time-maximum wave frequency width of second swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143110 shortname: max_wdw3 longname: Time-maximum wave directional width of third swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143111 shortname: max_wfw3 longname: Time-maximum wave frequency width of third swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143112 shortname: max_wefxm longname: Time-maximum wave energy flux magnitude units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143113 shortname: max_wefxd longname: Time-maximum wave energy flux mean direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143114 shortname: max_h1012 longname: Time-maximum significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143115 shortname: max_h1214 longname: Time-maximum significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143116 shortname: max_h1417 longname: Time-maximum significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143117 shortname: max_h1721 longname: Time-maximum significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143118 shortname: max_h2125 longname: Time-maximum significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143119 shortname: max_h2530 longname: Time-maximum significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143120 shortname: max_sh10 longname: Time-maximum significant wave height of all waves with period larger than 10s units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143121 shortname: max_swh1 longname: Time-maximum significant wave height of first swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143122 shortname: max_mwd1 longname: Time-maximum mean wave direction of first swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143123 shortname: max_mwp1 longname: Time-maximum mean wave period of first swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143124 shortname: max_swh2 longname: Time-maximum significant wave height of second swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143125 shortname: max_mwd2 longname: Time-maximum mean wave direction of second swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143126 shortname: max_mwp2 longname: Time-maximum mean wave period of second swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143127 shortname: max_swh3 longname: Time-maximum significant wave height of third swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143128 shortname: max_mwd3 longname: Time-maximum mean wave direction of third swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143129 shortname: max_mwp3 longname: Time-maximum mean wave period of third swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143131 shortname: max_tdcmax longname: Time-maximum time domain maximum individual crest height units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143132 shortname: max_tdhmax longname: Time-maximum time domain maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143133 shortname: max_stcmax longname: Time-maximum space time maximum individual crest height units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143134 shortname: max_sthmax longname: Time-maximum space time maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143135 shortname: max_pp1dw longname: Time-maximum peak wave period of wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143136 shortname: max_pp1ds longname: Time-maximum peak wave period of total swell units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143137 shortname: max_pp1d1 longname: Time-maximum peak wave period of first swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143138 shortname: max_pp1d2 longname: Time-maximum peak wave period of second swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143139 shortname: max_pp1d3 longname: Time-maximum peak wave period of third swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143140 shortname: max_pwd longname: Time-maximum peak wave direction (total) units: Degree true description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143141 shortname: max_pwdw longname: Time-maximum peak wave direction of wind waves units: Degree true description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143142 shortname: max_pwds longname: Time-maximum peak wave direction of total swell units: Degree true description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143143 shortname: max_pwd1 longname: Time-maximum peak wave direction of first swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143144 shortname: max_pwd2 longname: Time-maximum peak wave direction of second swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143145 shortname: max_pwd3 longname: Time-maximum peak wave direction of third swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143146 shortname: max_wcfr longname: Time-maximum whitecap fraction units: Fraction description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143147 shortname: max_bfi2d longname: Time-maximum Benjamin-Feir index 2D units: Numeric description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143148 shortname: max_ctc longname: Time-maximum crest-trough correlation units: Numeric description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143149 shortname: max_xwrs longname: Time-maximum X component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143150 shortname: max_ywrs longname: Time-maximum Y component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143207 shortname: max_wss longname: Time-maximum wave Spectral Skewness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143208 shortname: max_wstar longname: Time-maximum free convective velocity over the oceans units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143209 shortname: max_rhoao longname: Time-maximum air density over the oceans units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143211 shortname: max_phiaw longname: Time-maximum normalized energy flux into waves units: Numeric description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143212 shortname: max_phioc longname: Time-maximum normalized energy flux into ocean units: Numeric description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143214 shortname: max_tauoc longname: Time-maximum normalized stress into ocean units: Numeric description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143215 shortname: max_ust longname: Time-maximum U-component surface stokes drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143216 shortname: max_vst longname: Time-maximum V-component surface stokes drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143217 shortname: max_tmax longname: Time-maximum period corresponding to maximum individual wave height units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143218 shortname: max_hmax longname: Time-maximum envelop-maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143220 shortname: max_mp1 longname: Time-maximum mean wave period based on first moment units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143221 shortname: max_mp2 longname: Time-maximum mean zero-crossing wave period units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143222 shortname: max_wdw longname: Time-maximum wave spectral directional width units: radians description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143223 shortname: max_p1ww longname: Time-maximum mean wave period based on first moment for wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143224 shortname: max_p2ww longname: Time-maximum mean wave period based on second moment for wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143225 shortname: max_dwww longname: Time-maximum wave spectral directional width for wind waves units: radians description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143226 shortname: max_p1ps longname: Time-maximum mean wave period based on first moment for swell units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143227 shortname: max_p2ps longname: Time-maximum mean wave period based on second moment for swell units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143228 shortname: max_dwps longname: Time-maximum wave spectral directional width for swell units: radians description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143229 shortname: max_swh longname: Time-maximum significant height of combined wind waves and swell units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143230 shortname: max_mwd longname: Time-maximum mean wave direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143231 shortname: max_pp1d longname: Time-maximum peak wave period units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143232 shortname: max_mwp longname: Time-maximum mean wave period units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143233 shortname: max_cdww longname: Time-maximum coefficient of drag with waves units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143234 shortname: max_shww longname: Time-maximum significant height of wind waves units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143235 shortname: max_mdww longname: Time-maximum mean direction of wind waves units: degrees description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143236 shortname: max_mpww longname: Time-maximum mean period of wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143237 shortname: max_shts longname: Time-maximum significant height of total swell units: m description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143238 shortname: max_mdts longname: Time-maximum mean direction of total swell units: degrees description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143239 shortname: max_mpts longname: Time-maximum mean period of total swell units: s description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143244 shortname: max_msqs longname: Time-maximum mean square slope of waves units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143245 shortname: max_wind longname: Time-maximum 10 metre wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143249 shortname: max_dwi longname: Time-maximum 10 metre wind direction units: degrees description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143252 shortname: max_wsk longname: Time-maximum wave spectral kurtosis units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143253 shortname: max_bfi longname: Time-maximum benjamin-Feir index units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 143254 shortname: max_wsp longname: Time-maximum wave spectral peakedness units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 143 mars_request_context: [] - id: 144098 shortname: min_weta longname: Time-minimum wave induced mean sea level correction units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144099 shortname: min_wraf longname: Time-minimum ratio of wave angular and frequency width units: Numeric description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144100 shortname: min_wnslc longname: Time-minimum number of events in freak waves statistics units: Numeric description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144101 shortname: min_utaua longname: Time-minimum U-component of atmospheric surface momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144102 shortname: min_vtaua longname: Time-minimum V-component of atmospheric surface momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144103 shortname: min_utauo longname: Time-minimum U-component of surface momentum flux into ocean units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144104 shortname: min_vtauo longname: Time-minimum V-component of surface momentum flux into ocean units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144105 shortname: min_wphio longname: Time-minimum wave turbulent energy flux into ocean units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144106 shortname: min_wdw1 longname: Time-minimum wave directional width of first swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144107 shortname: min_wfw1 longname: Time-minimum wave frequency width of first swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144108 shortname: min_wdw2 longname: Time-minimum wave directional width of second swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144109 shortname: min_wfw2 longname: Time-minimum wave frequency width of second swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144110 shortname: min_wdw3 longname: Time-minimum wave directional width of third swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144111 shortname: min_wfw3 longname: Time-minimum wave frequency width of third swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144112 shortname: min_wefxm longname: Time-minimum wave energy flux magnitude units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144113 shortname: min_wefxd longname: Time-minimum wave energy flux mean direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144114 shortname: min_h1012 longname: Time-minimum significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144115 shortname: min_h1214 longname: Time-minimum significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144116 shortname: min_h1417 longname: Time-minimum significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144117 shortname: min_h1721 longname: Time-minimum significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144118 shortname: min_h2125 longname: Time-minimum significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144119 shortname: min_h2530 longname: Time-minimum significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144120 shortname: min_sh10 longname: Time-minimum significant wave height of all waves with period larger than 10s units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144121 shortname: min_swh1 longname: Time-minimum significant wave height of first swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144122 shortname: min_mwd1 longname: Time-minimum mean wave direction of first swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144123 shortname: min_mwp1 longname: Time-minimum mean wave period of first swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144124 shortname: min_swh2 longname: Time-minimum significant wave height of second swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144125 shortname: min_mwd2 longname: Time-minimum mean wave direction of second swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144126 shortname: min_mwp2 longname: Time-minimum mean wave period of second swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144127 shortname: min_swh3 longname: Time-minimum significant wave height of third swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144128 shortname: min_mwd3 longname: Time-minimum mean wave direction of third swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144129 shortname: min_mwp3 longname: Time-minimum mean wave period of third swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144131 shortname: min_tdcmax longname: Time-minimum time domain maximum individual crest height units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144132 shortname: min_tdhmax longname: Time-minimum time domain maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144133 shortname: min_stcmax longname: Time-minimum space time maximum individual crest height units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144134 shortname: min_sthmax longname: Time-minimum space time maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144135 shortname: min_pp1dw longname: Time-minimum peak wave period of wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144136 shortname: min_pp1ds longname: Time-minimum peak wave period of total swell units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144137 shortname: min_pp1d1 longname: Time-minimum peak wave period of first swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144138 shortname: min_pp1d2 longname: Time-minimum peak wave period of second swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144139 shortname: min_pp1d3 longname: Time-minimum peak wave period of third swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144140 shortname: min_pwd longname: Time-minimum peak wave direction (total) units: Degree true description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144141 shortname: min_pwdw longname: Time-minimum peak wave direction of wind waves units: Degree true description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144142 shortname: min_pwds longname: Time-minimum peak wave direction of total swell units: Degree true description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144143 shortname: min_pwd1 longname: Time-minimum peak wave direction of first swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144144 shortname: min_pwd2 longname: Time-minimum peak wave direction of second swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144145 shortname: min_pwd3 longname: Time-minimum peak wave direction of third swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144146 shortname: min_wcfr longname: Time-minimum whitecap fraction units: Fraction description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144147 shortname: min_bfi2d longname: Time-minimum Benjamin-Feir index 2D units: Numeric description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144148 shortname: min_ctc longname: Time-minimum crest-trough correlation units: Numeric description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144149 shortname: min_xwrs longname: Time-minimum X component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144150 shortname: min_ywrs longname: Time-minimum Y component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144207 shortname: min_wss longname: Time-minimum wave Spectral Skewness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144208 shortname: min_wstar longname: Time-minimum free convective velocity over the oceans units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144209 shortname: min_rhoao longname: Time-minimum air density over the oceans units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144211 shortname: min_phiaw longname: Time-minimum normalized energy flux into waves units: Numeric description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144212 shortname: min_phioc longname: Time-minimum normalized energy flux into ocean units: Numeric description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144214 shortname: min_tauoc longname: Time-minimum normalized stress into ocean units: Numeric description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144215 shortname: min_ust longname: Time-minimum U-component surface stokes drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144216 shortname: min_vst longname: Time-minimum V-component surface stokes drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144217 shortname: min_tmax longname: Time-minimum period corresponding to maximum individual wave height units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144218 shortname: min_hmax longname: Time-minimum envelop-maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144220 shortname: min_mp1 longname: Time-minimum mean wave period based on first moment units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144221 shortname: min_mp2 longname: Time-minimum mean zero-crossing wave period units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144222 shortname: min_wdw longname: Time-minimum wave spectral directional width units: radians description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144223 shortname: min_p1ww longname: Time-minimum mean wave period based on first moment for wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144224 shortname: min_p2ww longname: Time-minimum mean wave period based on second moment for wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144225 shortname: min_dwww longname: Time-minimum wave spectral directional width for wind waves units: radians description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144226 shortname: min_p1ps longname: Time-minimum mean wave period based on first moment for swell units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144227 shortname: min_p2ps longname: Time-minimum mean wave period based on second moment for swell units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144228 shortname: min_dwps longname: Time-minimum wave spectral directional width for swell units: radians description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144229 shortname: min_swh longname: Time-minimum significant height of combined wind waves and swell units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144230 shortname: min_mwd longname: Time-minimum mean wave direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144231 shortname: min_pp1d longname: Time-minimum peak wave period units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144232 shortname: min_mwp longname: Time-minimum mean wave period units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144233 shortname: min_cdww longname: Time-minimum coefficient of drag with waves units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144234 shortname: min_shww longname: Time-minimum significant height of wind waves units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144235 shortname: min_mdww longname: Time-minimum mean direction of wind waves units: degrees description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144236 shortname: min_mpww longname: Time-minimum mean period of wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144237 shortname: min_shts longname: Time-minimum significant height of total swell units: m description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144238 shortname: min_mdts longname: Time-minimum mean direction of total swell units: degrees description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144239 shortname: min_mpts longname: Time-minimum mean period of total swell units: s description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144244 shortname: min_msqs longname: Time-minimum mean square slope of waves units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144245 shortname: min_wind longname: Time-minimum 10 metre wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144249 shortname: min_dwi longname: Time-minimum 10 metre wind direction units: degrees description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144252 shortname: min_wsk longname: Time-minimum wave spectral kurtosis units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144253 shortname: min_bfi longname: Time-minimum benjamin-Feir index units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 144254 shortname: min_wsp longname: Time-minimum wave spectral peakedness units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 144 mars_request_context: [] - id: 145098 shortname: std_weta longname: Time-standard-deviation wave induced mean sea level correction units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145099 shortname: std_wraf longname: Time-standard-deviation ratio of wave angular and frequency width units: Numeric description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145100 shortname: std_wnslc longname: Time-standard-deviation number of events in freak waves statistics units: Numeric description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145101 shortname: std_utaua longname: Time-standard-deviation U-component of atmospheric surface momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145102 shortname: std_vtaua longname: Time-standard-deviation V-component of atmospheric surface momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145103 shortname: std_utauo longname: Time-standard-deviation U-component of surface momentum flux into ocean units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145104 shortname: std_vtauo longname: Time-standard-deviation V-component of surface momentum flux into ocean units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145105 shortname: std_wphio longname: Time-standard-deviation wave turbulent energy flux into ocean units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145106 shortname: std_wdw1 longname: Time-standard-deviation wave directional width of first swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145107 shortname: std_wfw1 longname: Time-standard-deviation wave frequency width of first swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145108 shortname: std_wdw2 longname: Time-standard-deviation wave directional width of second swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145109 shortname: std_wfw2 longname: Time-standard-deviation wave frequency width of second swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145110 shortname: std_wdw3 longname: Time-standard-deviation wave directional width of third swell partition units: radians description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145111 shortname: std_wfw3 longname: Time-standard-deviation wave frequency width of third swell partition units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145112 shortname: std_wefxm longname: Time-standard-deviation wave energy flux magnitude units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145113 shortname: std_wefxd longname: Time-standard-deviation wave energy flux mean direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145114 shortname: std_h1012 longname: Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145115 shortname: std_h1214 longname: Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145116 shortname: std_h1417 longname: Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145117 shortname: std_h1721 longname: Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145118 shortname: std_h2125 longname: Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145119 shortname: std_h2530 longname: Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145120 shortname: std_sh10 longname: Time-standard-deviation significant wave height of all waves with period larger than 10s units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145121 shortname: std_swh1 longname: Time-standard-deviation significant wave height of first swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145122 shortname: std_mwd1 longname: Time-standard-deviation mean wave direction of first swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145123 shortname: std_mwp1 longname: Time-standard-deviation mean wave period of first swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145124 shortname: std_swh2 longname: Time-standard-deviation significant wave height of second swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145125 shortname: std_mwd2 longname: Time-standard-deviation mean wave direction of second swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145126 shortname: std_mwp2 longname: Time-standard-deviation mean wave period of second swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145127 shortname: std_swh3 longname: Time-standard-deviation significant wave height of third swell partition units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145128 shortname: std_mwd3 longname: Time-standard-deviation mean wave direction of third swell partition units: degrees description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145129 shortname: std_mwp3 longname: Time-standard-deviation mean wave period of third swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145131 shortname: std_tdcmax longname: Time-standard-deviation time domain maximum individual crest height units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145132 shortname: std_tdhmax longname: Time-standard-deviation time domain maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145133 shortname: std_stcmax longname: Time-standard-deviation space time maximum individual crest height units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145134 shortname: std_sthmax longname: Time-standard-deviation space time maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145135 shortname: std_pp1dw longname: Time-standard-deviation peak wave period of wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145136 shortname: std_pp1ds longname: Time-standard-deviation peak wave period of total swell units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145137 shortname: std_pp1d1 longname: Time-standard-deviation peak wave period of first swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145138 shortname: std_pp1d2 longname: Time-standard-deviation peak wave period of second swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145139 shortname: std_pp1d3 longname: Time-standard-deviation peak wave period of third swell partition units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145140 shortname: std_pwd longname: Time-standard-deviation peak wave direction (total) units: Degree true description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145141 shortname: std_pwdw longname: Time-standard-deviation peak wave direction of wind waves units: Degree true description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145142 shortname: std_pwds longname: Time-standard-deviation peak wave direction of total swell units: Degree true description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145143 shortname: std_pwd1 longname: Time-standard-deviation peak wave direction of first swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145144 shortname: std_pwd2 longname: Time-standard-deviation peak wave direction of second swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145145 shortname: std_pwd3 longname: Time-standard-deviation peak wave direction of third swell partition units: Degree true description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145146 shortname: std_wcfr longname: Time-standard-deviation whitecap fraction units: Fraction description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145147 shortname: std_bfi2d longname: Time-standard-deviation Benjamin-Feir index 2D units: Numeric description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145148 shortname: std_ctc longname: Time-standard-deviation crest-trough correlation units: Numeric description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145149 shortname: std_xwrs longname: Time-standard-deviation X component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145150 shortname: std_ywrs longname: Time-standard-deviation Y component of the wave radiative stress to sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145207 shortname: std_wss longname: Time-standard-deviation wave Spectral Skewness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145208 shortname: std_wstar longname: Time-standard-deviation free convective velocity over the oceans units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145209 shortname: std_rhoao longname: Time-standard-deviation air density over the oceans units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145211 shortname: std_phiaw longname: Time-standard-deviation normalized energy flux into waves units: Numeric description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145212 shortname: std_phioc longname: Time-standard-deviation normalized energy flux into ocean units: Numeric description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145214 shortname: std_tauoc longname: Time-standard-deviation normalized stress into ocean units: Numeric description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145215 shortname: std_ust longname: Time-standard-deviation U-component surface stokes drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145216 shortname: std_vst longname: Time-standard-deviation V-component surface stokes drift units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145217 shortname: std_tmax longname: Time-standard-deviation period corresponding to maximum individual wave height units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145218 shortname: std_hmax longname: Time-standard-deviation envelop-maximum individual wave height units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145220 shortname: std_mp1 longname: Time-standard-deviation mean wave period based on first moment units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145221 shortname: std_mp2 longname: Time-standard-deviation mean zero-crossing wave period units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145222 shortname: std_wdw longname: Time-standard-deviation wave spectral directional width units: radians description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145223 shortname: std_p1ww longname: Time-standard-deviation mean wave period based on first moment for wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145224 shortname: std_p2ww longname: Time-standard-deviation mean wave period based on second moment for wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145225 shortname: std_dwww longname: Time-standard-deviation wave spectral directional width for wind waves units: radians description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145226 shortname: std_p1ps longname: Time-standard-deviation mean wave period based on first moment for swell units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145227 shortname: std_p2ps longname: Time-standard-deviation mean wave period based on second moment for swell units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145228 shortname: std_dwps longname: Time-standard-deviation wave spectral directional width for swell units: radians description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145229 shortname: std_swh longname: Time-standard-deviation significant height of combined wind waves and swell units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145230 shortname: std_mwd longname: Time-standard-deviation mean wave direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145231 shortname: std_pp1d longname: Time-standard-deviation peak wave period units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145232 shortname: std_mwp longname: Time-standard-deviation mean wave period units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145233 shortname: std_cdww longname: Time-standard-deviation coefficient of drag with waves units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145234 shortname: std_shww longname: Time-standard-deviation significant height of wind waves units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145235 shortname: std_mdww longname: Time-standard-deviation mean direction of wind waves units: degrees description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145236 shortname: std_mpww longname: Time-standard-deviation mean period of wind waves units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145237 shortname: std_shts longname: Time-standard-deviation significant height of total swell units: m description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145238 shortname: std_mdts longname: Time-standard-deviation mean direction of total swell units: degrees description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145239 shortname: std_mpts longname: Time-standard-deviation mean period of total swell units: s description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145244 shortname: std_msqs longname: Time-standard-deviation mean square slope of waves units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145245 shortname: std_wind longname: Time-standard-deviation 10 metre wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145249 shortname: std_dwi longname: Time-standard-deviation 10 metre wind direction units: degrees description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145252 shortname: std_wsk longname: Time-standard-deviation wave spectral kurtosis units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145253 shortname: std_bfi longname: Time-standard-deviation benjamin-Feir index units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 145254 shortname: std_wsp longname: Time-standard-deviation wave spectral peakedness units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 145 mars_request_context: [] - id: 150129 shortname: ocpt longname: Ocean potential temperature units: deg C description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150130 shortname: ocs longname: Ocean salinity units: psu description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150131 shortname: ocpd longname: Ocean potential density units: kg m**-3 -1000 description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150133 shortname: '~' longname: Ocean U wind component units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150134 shortname: '~' longname: Ocean V wind component units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150135 shortname: ocw longname: Ocean W wind component units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150137 shortname: rn longname: Richardson number units: '~' description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150139 shortname: uv longname: U*V product units: m s**-2 description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150140 shortname: ut longname: U*T product units: m s**-1 deg C description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150141 shortname: vt longname: V*T product units: m s**-1 deg C description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150142 shortname: uu longname: U*U product units: m s**-2 description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150143 shortname: vv longname: V*V product units: m s**-2 description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150144 shortname: '~' longname: UV - U~V~ units: m s**-2 description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150145 shortname: '~' longname: UT - U~T~ units: m s**-1 deg C description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150146 shortname: '~' longname: VT - V~T~ units: m s**-1 deg C description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150147 shortname: '~' longname: UU - U~U~ units: m s**-2 description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150148 shortname: '~' longname: VV - V~V~ units: m s**-2 description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150152 shortname: sl longname: Sea level units: m description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150153 shortname: '~' longname: Barotropic stream function units: '~' description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150154 shortname: mld longname: Mixed layer depth units: m description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150155 shortname: '~' longname: Depth units: m description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150168 shortname: '~' longname: U stress units: Pa description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150169 shortname: '~' longname: V stress units: Pa description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150170 shortname: '~' longname: Turbulent kinetic energy input units: '~' description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150171 shortname: nsf longname: Net surface heat flux units: '~' description: '' access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150172 shortname: '~' longname: Surface solar radiation units: '~' description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150173 shortname: '~' longname: P-E units: '~' description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150180 shortname: '~' longname: Diagnosed sea surface temperature error units: deg C description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150181 shortname: '~' longname: Heat flux correction units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150182 shortname: '~' longname: Observed sea surface temperature units: deg C description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150183 shortname: '~' longname: Observed heat flux units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 150255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 150 mars_request_context: [] - id: 151126 shortname: mswpt300m longname: Mean sea water potential temperature in the upper 300 m units: K description: Average sea water potential temperature in the upper 300 metres access_ids: [] origin_ids: - -40 table: 151 mars_request_context: [] - id: 151127 shortname: mswt300m longname: Mean sea water temperature in the upper 300 m units: K description: Average sea water temperature in the upper 300 metres. access_ids: [] origin_ids: - 0 table: 151 mars_request_context: [] - id: 151128 shortname: '~' longname: In situ Temperature units: deg C description: In situ Temperature access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151129 shortname: thetao longname: Sea water potential temperature units: deg C description: null access_ids: [] origin_ids: - -80 - 98 table: 151 mars_request_context: [] - id: 151130 shortname: so longname: Sea water practical salinity units: psu description: null access_ids: - dissemination origin_ids: - -80 - 98 table: 151 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id033 - id: 151131 shortname: ocu longname: Eastward surface sea water velocity units: m s**-1 description:

This parameter is the eastward component of the sea water velocity. It is the horizontal speed of water moving towards the east. A negative value thus indicates sea water movement towards the west.

This parameter can be combined with the northward sea water velocity to give the speed and direction of the sea water.

access_ids: - dissemination origin_ids: - -40 - 98 table: 151 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id035 - *id030 - *id036 - *id033 - id: 151132 shortname: ocv longname: Northward surface sea water velocity units: m s**-1 description:

This parameter is the northward component of the sea water velocity. It is the horizontal speed of water moving towards the north. A negative value thus indicates sea water movement towards the south.

This parameter can be combined with the eastward sea water velocity to give the speed and direction of the sea water.

access_ids: - dissemination origin_ids: - -40 - 98 table: 151 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id035 - *id030 - *id036 - *id033 - id: 151133 shortname: wo longname: Upward sea water velocity units: m s**-1 description: Ocean current vertical component access_ids: [] origin_ids: - -80 - 98 table: 151 mars_request_context: [] - id: 151134 shortname: mst longname: Modulus of strain rate tensor units: s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151135 shortname: vvs longname: Vertical viscosity units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151136 shortname: vdf longname: Vertical diffusivity units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151137 shortname: dep longname: Bottom level Depth units: m description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151138 shortname: sigmat longname: Sea water sigma theta units: kg m**-3 description: null access_ids: [] origin_ids: - -80 - 98 table: 151 mars_request_context: [] - id: 151139 shortname: rn longname: Richardson number units: '~' description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151140 shortname: uv longname: UV product units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151141 shortname: ut longname: UT product units: m s**-1 degC description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151142 shortname: vt longname: VT product units: m s**-1 deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151143 shortname: uu longname: UU product units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151144 shortname: vv longname: VV product units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151145 shortname: zos longname: Sea surface height units: m description: null access_ids: - dissemination origin_ids: - -40 - 98 table: 151 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id033 - id: 151146 shortname: sl_1 longname: Sea level previous timestep units: m description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151147 shortname: stfbarot longname: Ocean barotropic stream function units: m**3 s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151148 shortname: mld longname: Mixed layer depth units: m description: null access_ids: - dissemination origin_ids: - 98 table: 151 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id033 - id: 151149 shortname: btp longname: Bottom Pressure (equivalent height) units: m description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151150 shortname: sh longname: Steric height units: m description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151151 shortname: crl longname: Curl of Wind Stress units: N m**-3 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151152 shortname: '~' longname: Divergence of wind stress units: Nm**-3 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151153 shortname: taueo longname: Surface downward eastward stress units: N m**-2 description: null access_ids: [] origin_ids: - -80 - 98 table: 151 mars_request_context: [] - id: 151154 shortname: tauno longname: Surface downward northward stress units: N m**-2 description: null access_ids: [] origin_ids: - -80 - 98 table: 151 mars_request_context: [] - id: 151155 shortname: tki longname: Turbulent kinetic energy input units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151156 shortname: nsf longname: Net surface heat flux units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151157 shortname: asr longname: Absorbed solar radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151158 shortname: pme longname: Precipitation - evaporation units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151159 shortname: sst longname: Specified sea surface temperature units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151160 shortname: shf longname: Specified surface heat flux units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151161 shortname: dte longname: Diagnosed sea surface temperature error units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151162 shortname: hfc longname: Heat flux correction units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151163 shortname: t20d longname: Depth of 20C isotherm units: m description: null access_ids: - dissemination origin_ids: - -40 - 98 table: 151 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id033 - id: 151164 shortname: tav300 longname: Average potential temperature in the upper 300m units: degrees C description: null access_ids: - dissemination origin_ids: - 98 table: 151 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id033 - id: 151165 shortname: uba1 longname: Vertically integrated zonal velocity (previous time step) units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151166 shortname: vba1 longname: Vertically Integrated meridional velocity (previous time step) units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151167 shortname: ztr longname: Vertically integrated zonal volume transport units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151168 shortname: mtr longname: Vertically integrated meridional volume transport units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151169 shortname: zht longname: Vertically integrated zonal heat transport units: J m**-1 s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151170 shortname: mht longname: Vertically integrated meridional heat transport units: J m**-1 s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151171 shortname: umax longname: U velocity maximum units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151172 shortname: dumax longname: Depth of the velocity maximum units: m description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151173 shortname: smax longname: Salinity maximum units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151174 shortname: dsmax longname: Depth of salinity maximum units: m description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151175 shortname: sav300 longname: Average sea water practical salinity in the upper 300m units: psu description: null access_ids: - dissemination origin_ids: - -40 - 98 table: 151 mars_request_context: - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id030 - *id033 - id: 151176 shortname: ldp longname: Layer Thickness at scalar points units: m description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151177 shortname: ldu longname: Layer Thickness at vector points units: m description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151178 shortname: pti longname: Potential temperature increment units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151179 shortname: ptae longname: Potential temperature analysis error units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151180 shortname: bpt longname: Background potential temperature units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151181 shortname: apt longname: Analysed potential temperature units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151182 shortname: ptbe longname: Potential temperature background error units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151183 shortname: as longname: Analysed salinity units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151184 shortname: sali longname: Salinity increment units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151185 shortname: ebt longname: Estimated Bias in Temperature units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151186 shortname: ebs longname: Estimated Bias in Salinity units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151187 shortname: uvi longname: Zonal Velocity increment (from balance operator) units: m s**-1 per time step description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151188 shortname: vvi longname: Meridional Velocity increment (from balance operator) units: '~' description: Meridional Velocity increment (from balance operator) access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151189 shortname: tos longname: Sea surface temperature in degC units: deg C description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151190 shortname: subi longname: Salinity increment (from salinity data) units: psu per time step description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151191 shortname: sale longname: Salinity analysis error units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151192 shortname: bsal longname: Background Salinity units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151193 shortname: '~' longname: Reserved units: '~' description: '' access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151194 shortname: salbe longname: Salinity background error units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151199 shortname: ebta longname: Estimated temperature bias from assimilation units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151200 shortname: ebsa longname: Estimated salinity bias from assimilation units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151201 shortname: lti longname: Temperature increment from relaxation term units: deg C per time step description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151202 shortname: lsi longname: Salinity increment from relaxation term units: '~' description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151203 shortname: bzpga longname: Bias in the zonal pressure gradient (applied) units: Pa m**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151204 shortname: bmpga longname: Bias in the meridional pressure gradient (applied) units: Pa m**-1 description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151205 shortname: ebtl longname: Estimated temperature bias from relaxation units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151206 shortname: ebsl longname: Estimated salinity bias from relaxation units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151207 shortname: fgbt longname: First guess bias in temperature units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151208 shortname: fgbs longname: First guess bias in salinity units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151209 shortname: bpa longname: Applied bias in pressure units: Pa description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151210 shortname: fgbp longname: FG bias in pressure units: Pa description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151211 shortname: pta longname: Bias in temperature(applied) units: deg C description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151212 shortname: psa longname: Bias in salinity (applied) units: psu description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 151213 shortname: hfds longname: Surface downward heat flux in sea water units: W m**-2 description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151214 shortname: hc300m longname: Ocean heat content 0-300m units: J m**-2 description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151219 shortname: sos longname: Sea surface practical salinity units: psu description: Sea surface practical salinity. access_ids: [] origin_ids: - -40 table: 151 mars_request_context: [] - id: 151222 shortname: tauvo longname: Surface downward y stress units: N m**-2 description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151223 shortname: tauuo longname: Surface downward x stress units: N m**-2 description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151224 shortname: mlotdev longname: Ocean mixed layer thickness defined by vertical tracer diffusivity threshold units: m description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151225 shortname: mlotst010 longname: Ocean mixed layer thickness defined by sigma theta 0.01 kg/m3 units: m description: '' access_ids: [] origin_ids: - -40 table: 151 mars_request_context: [] - id: 151228 shortname: mlott02 longname: Ocean mixed layer thickness defined by temperature 0.2C units: m description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151235 shortname: sc300m longname: Integrated salinity 0-300m units: psu*m description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151250 shortname: voy longname: Sea water y velocity units: m s**-1 description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151251 shortname: uox longname: Sea water x velocity units: m s**-1 description: '' access_ids: [] origin_ids: [] table: 151 mars_request_context: [] - id: 151255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 151 mars_request_context: [] - id: 160049 shortname: 10fgrea longname: 10 metre wind gust during averaging time units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160135 shortname: wrea longname: vertical velocity (pressure) units: Pa s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160137 shortname: pwcrea longname: Precipitable water content units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160140 shortname: swl1rea longname: Soil wetness level 1 units: m description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160141 shortname: sdrea longname: Snow depth units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160142 shortname: lsprea longname: Large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160143 shortname: cprea longname: Convective precipitation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160144 shortname: sfrea longname: Snowfall units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160156 shortname: ghrea longname: Height units: m description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160157 shortname: rrea longname: Relative humidity units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160171 shortname: swl2rea longname: Soil wetness level 2 units: m description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160180 shortname: ewssrea longname: East-West surface stress units: N m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160181 shortname: nsssrea longname: North-South surface stress units: N m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160182 shortname: erea longname: Evaporation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160184 shortname: swl3rea longname: Soil wetness level 3 units: m description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160198 shortname: srcon longname: Skin reservoir content units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 160 mars_request_context: [] - id: 160199 shortname: vegrea longname: Percentage of vegetation units: '%' description: null access_ids: [] origin_ids: - 0 - 34 - 98 table: 160 mars_request_context: [] - id: 160205 shortname: rorea longname: Runoff units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160207 shortname: tzrea longname: Covariance of temperature and geopotential units: K m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160209 shortname: qzrea longname: Covariance of specific humidity and geopotential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160210 shortname: qtrea longname: Covariance of specific humidity and temperature units: K description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160212 shortname: uzrea longname: Covariance of U component and geopotential units: m**3 s**-3 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160213 shortname: utrea longname: Covariance of U component and temperature units: K m s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160214 shortname: uqrea longname: Covariance of U component and specific humidity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160216 shortname: vzrea longname: Covariance of V component and geopotential units: m**3 s**-3 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160217 shortname: vtrea longname: Covariance of V component and temperature units: K m s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160218 shortname: vqrea longname: Covariance of V component and specific humidity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160219 shortname: vurea longname: Covariance of V component and U component units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160221 shortname: wzrea longname: Covariance of W component and geopotential units: Pa m**2 s**-3 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160222 shortname: wtrea longname: Covariance of W component and temperature units: K Pa s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160223 shortname: wqrea longname: Covariance of W component and specific humidity units: Pa s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160224 shortname: wurea longname: Covariance of W component and U component units: Pa m s**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160225 shortname: wvrea longname: Covariance of W component and V component units: Pa m s**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160231 shortname: ishfrea longname: Instantaneous surface heat flux units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160239 shortname: csfrea longname: Convective snowfall units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160240 shortname: lsfrea longname: Large scale snowfall units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160241 shortname: clwcerrea longname: Cloud liquid water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160242 shortname: ccrea longname: Cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160243 shortname: falrea longname: Forecast albedo units: '~' description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160246 shortname: 10wsrea longname: 10 metre wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160247 shortname: moflrea longname: Momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160249 shortname: '~' longname: Gravity wave dissipation flux units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 160254 shortname: hsdrea longname: Heaviside beta function units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 160 mars_request_context: [] - id: 162031 shortname: viwgd longname: Total column vertically-integrated divergence of water geopotential flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162032 shortname: viee longname: Total column vertically-integrated eastward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162033 shortname: vien longname: Total column vertically-integrated northward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162034 shortname: vied longname: Total column vertically-integrated divergence of enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162035 shortname: viwed longname: Total column vertically-integrated divergence of water enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162036 shortname: viwvd longname: Total column vertically-integrated divergence of water vapour flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162037 shortname: viclwd longname: Total column vertically-integrated divergence of cloud liquid water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162038 shortname: viciwd longname: Total column vertically-integrated divergence of cloud ice water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162039 shortname: vird longname: Total column vertically-integrated divergence of rain flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162040 shortname: visd longname: Total column vertically-integrated divergence of snow flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162041 shortname: viclwe longname: Total column vertically-integrated eastward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162042 shortname: viclwn longname: Total column vertically-integrated northward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162043 shortname: viciwe longname: Total column vertically-integrated eastward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162044 shortname: viciwn longname: Total column vertically-integrated northward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162045 shortname: wvf longname: Water vapour flux units: kg m**-1 s**-1 description: Water Vapour Flux represents the magnitude of the combined vertical integrals of the eastward and northward water vapour flux components. The average value of each component over a specified forecast period (e.g. 24 hours) is computed using the instantaneous values from each output forecast step; these are then combined to make the total wvf, which is then used to compute the model climate and the Extreme Forecast Index (EFI) for Water Vapour Flux (wvfi) access_ids: [] origin_ids: - 98 table: 162 mars_request_context: - *id092 - *id093 - *id094 - id: 162046 shortname: vire longname: Total column vertically-integrated eastward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162047 shortname: virn longname: Total column vertically-integrated northward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162048 shortname: vise longname: Total column vertically-integrated eastward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162049 shortname: visn longname: Total column vertically-integrated northward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162050 shortname: vions longname: Total column vertically-integrated net source of ozone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162051 shortname: '~' longname: Surface geopotential units: m**2 s**-2 description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162053 shortname: vima longname: Total column vertically-integrated mass of atmosphere units: kg m**-2 description: This parameter is the total mass of air for a column extending from the surface of the Earth to the top of the atmosphere, per square metre.

This parameter is calculated by dividing surface pressure by the Earth's gravitational acceleration, g (=9.80665 m s-2), and has units of kilograms per square metre.

This parameter can be used to study the atmospheric mass budget. See further information. access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162054 shortname: vit longname: Total column vertically-integrated temperature units: K kg m**-2 description:

This parameter is the mass-weighted vertical integral of temperature for a column of air extending from the surface of the Earth to the top of the atmosphere.

This parameter can be used to study the atmospheric energy budget. See further documentation.

access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162055 shortname: viwv longname: Total column vertically-integrated water vapour units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162056 shortname: vilw longname: Total column vertically-integrated cloud liquid water units: kg m**-2 description: '' access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162057 shortname: viiw longname: Total column vertically-integrated cloud frozen water units: kg m**-2 description: '' access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162058 shortname: vioz longname: Total column vertically-integrated ozone units: kg m**-2 description: '' access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162059 shortname: vike longname: Total column vertically-integrated kinetic energy units: J m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162060 shortname: vithe longname: Total column vertically-integrated enthalpy units: J m**-2 description: This parameter is the mass-weighted vertical integral of thermal energy for a column of air extending from the surface of the Earth to the top of the atmosphere. Thermal energy is calculated from the product of temperature and the specific heat capacity of air at constant pressure.

The thermal energy is equal to enthalpy, which is the sum of the internal energy and the energy associated with the pressure of the air on its surroundings.

Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy. The energy associated with the pressure of the air on its surroundings is the energy required to make room for the system by displacing its surroundings and is calculated from the product of pressure and volume.

This parameter can be used to study the atmospheric energy budget.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy. See further documentation. access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162061 shortname: vipie longname: Total column vertically-integrated potential + internal energy units: J m**-2 description: This parameter is the mass weighted vertical integral of potential and internal energy for a column of air extending from the surface of the Earth to the top of the atmosphere.

The potential energy of an air parcel is the amount of work that would have to be done, against the force of gravity, to lift the air to that location from mean sea level. Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy.

This parameter can be used to study the atmospheric energy budget.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy. See further documentation. access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162062 shortname: vipile longname: Total column vertically-integrated potential+internal+latent energy units: J m**-2 description: This parameter is the mass weighted vertical integral of potential, internal and latent energy for a column of air extending from the surface of the Earth to the top of the atmosphere.

The potential energy of an air parcel is the amount of work that would have to be done, against the force of gravity, to lift the air to that location from mean sea level. Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy.

The latent energy refers to the energy associated with the water vapour in the atmosphere and is equal to the energy required to convert liquid water into water vapour.

This parameter can be used to study the atmospheric energy budget.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy. See further documentation. access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162063 shortname: vitoe longname: Total column vertically-integrated total energy units: J m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162064 shortname: viec longname: Total column vertically-integrated energy conversion units: W m**-2 description: This parameter is one contribution to the amount of energy being converted between kinetic energy, and internal plus potential energy, for a column of air extending from the surface of the Earth to the top of the atmosphere. Negative values indicate a conversion to kinetic energy from potential plus internal energy.

This parameter can be used to study the atmospheric energy budget. The circulation of the atmosphere can also be considered in terms of energy conversions.

See further documentation. access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162065 shortname: vimae longname: Total column vertically-integrated eastward mass flux units: kg m**-1 s**-1 description:

This parameter is the horizontal rate of flow of mass, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

This parameter can be used to study the atmospheric mass and energy budgets. See further information.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162066 shortname: viman longname: Total column vertically-integrated northward mass flux units: kg m**-1 s**-1 description:

This parameter is the horizontal rate of flow of mass, in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

This parameter can be used to study the atmospheric mass and energy budgets. See further information.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162067 shortname: vikee longname: Total column vertically-integrated eastward kinetic energy flux units: W m**-1 description:

This parameter is the horizontal rate of flow of kinetic energy, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

Atmospheric kinetic energy is the energy of the atmosphere due to its motion. Only horizontal motion is considered in the calculation of this parameter.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162068 shortname: viken longname: Total column vertically-integrated northward kinetic energy flux units: W m**-1 description:

This parameter is the horizontal rate of flow of kinetic energy, in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

Atmospheric kinetic energy is the energy of the atmosphere due to its motion. Only horizontal motion is considered in the calculation of this parameter.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162069 shortname: vithee longname: Total column vertically-integrated eastward heat flux units: W m**-1 description: This parameter is the horizontal rate of flow of heat in the eastward direction, per meter across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

Heat (or thermal energy) is equal to enthalpy, which is the sum of the internal energy and the energy associated with the pressure of the air on its surroundings.

Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy. The energy associated with the pressure of the air on its surroundings is the energy required to make room for the system by displacing its surroundings and is calculated from the product of pressure and volume.

This parameter can be used to study the atmospheric energy budget.

See further documentation. access_ids: [] origin_ids: - 0 - 34 - 98 table: 162 mars_request_context: [] - id: 162070 shortname: vithen longname: Total column vertically-integrated northward heat flux units: W m**-1 description: This parameter is the horizontal rate of flow of heat in the northward direction, per meter across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

Heat (or thermal energy) is equal to enthalpy, which is the sum of the internal energy and the energy associated with the pressure of the air on its surroundings.

Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy. The energy associated with the pressure of the air on its surroundings is the energy required to make room for the system by displacing its surroundings and is calculated from the product of pressure and volume.

This parameter can be used to study the atmospheric energy budget.

See further documentation. access_ids: [] origin_ids: - 0 - 34 - 98 table: 162 mars_request_context: [] - id: 162071 shortname: viwve longname: Total column vertically-integrated eastward water vapour flux units: kg m**-1 s**-1 description: This parameter is the horizontal rate of flow of water vapour, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east. access_ids: - dissemination origin_ids: - 0 - 34 - 98 table: 162 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 162072 shortname: viwvn longname: Total column vertically-integrated northward water vapour flux units: kg m**-1 s**-1 description: This parameter is the horizontal rate of flow of water vapour, in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north. access_ids: - dissemination origin_ids: - 0 - 34 - 98 table: 162 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 162073 shortname: vige longname: Total column vertically-integrated eastward geopotential flux units: W m**-1 description: null access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162074 shortname: vign longname: Total column vertically-integrated northward geopotential flux units: W m**-1 description:

This parameter is the horizontal rate of flow of geopotential in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

Geopotential is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. It is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

This parameter can be used to study the atmospheric energy budget. See further information.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162075 shortname: vitee longname: Total column vertically-integrated eastward total energy flux units: W m**-1 description:

This parameter is the horizontal rate of flow of total energy in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162076 shortname: viten longname: Total column vertically-integrated northward total energy flux units: W m**-1 description:

This parameter is the horizontal rate of flow of total energy in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from south to north.

Total atmospheric energy is made up of internal, potential, kinetic and latent energy.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162077 shortname: vioze longname: Total column vertically-integrated eastward ozone flux units: kg m**-1 s**-1 description:

This parameter is the horizontal rate of flow of ozone in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values denote a flux from west to east.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including a representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162078 shortname: viozn longname: Total column vertically-integrated northward ozone flux units: kg m**-1 s**-1 description:

This parameter is the horizontal rate of flow of ozone in the northward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values denote a flux from south to north.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including a representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air.See further documentation.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162079 shortname: vilwd longname: Total column vertically-integrated divergence of cloud liquid water flux units: kg m**-2 s**-1 description:

The vertical integral of the cloud liquid water flux is the horizontal rate of flow of cloud liquid water, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of cloud liquid water spreading outward from a point, per square metre. This parameter is positive for cloud liquid water that is spreading out, or diverging, and negative for the opposite, for cloud liquid water that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of cloud liquid water.

access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162080 shortname: viiwd longname: Total column vertically-integrated divergence of cloud frozen water flux units: kg m**-2 s**-1 description: The vertical integral of the cloud frozen water flux is the horizontal rate of flow of cloud frozen water, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of cloud frozen water spreading outward from a point, per square metre. This parameter is positive for cloud frozen water that is spreading out, or diverging, and negative for the opposite, for cloud frozen water that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of cloud frozen water.

Note that 'cloud frozen water' is the same as 'cloud ice water'. access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162081 shortname: vimad longname: Total column vertically-integrated divergence of mass flux units: kg m**-2 s**-1 description:

The vertical integral of the mass flux is the horizontal rate of flow of mass, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of mass spreading outward from a point, per square metre.

This parameter is positive for mass that is spreading out, or diverging, and negative for the opposite, for mass that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of mass.

This parameter can be used to study the atmospheric mass and energy budgets. See further information.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162082 shortname: viked longname: Total column vertically-integrated divergence of kinetic energy flux units: W m**-2 description:

The vertical integral of the kinetic energy flux is the horizontal rate of flow of kinetic energy, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of kinetic energy spreading outward from a point, per square metre. This parameter is positive for kinetic energy that is spreading out, or diverging, and negative for the opposite, for kinetic energy that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of kinetic energy.

Atmospheric kinetic energy is the energy of the atmosphere due to its motion. Only horizontal motion is considered in the calculation of this parameter.

This parameter can be used to study the atmospheric energy budget.

See further documentation.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162083 shortname: vithed longname: Total column vertically-integrated divergence of thermal energy flux units: W m**-2 description: The vertical integral of the thermal energy flux is the horizontal rate of flow of thermal energy, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of thermal energy spreading outward from a point, per square metre. This parameter is positive for thermal energy that is spreading out, or diverging, and negative for the opposite, for thermal energy that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of thermal energy.

The thermal energy is equal to enthalpy, which is the sum of the internal energy and the energy associated with the pressure of the air on its surroundings.

Internal energy is the energy contained within a system i.e., the microscopic energy of the air molecules, rather than the macroscopic energy associated with, for example, wind, or gravitational potential energy. The energy associated with the pressure of the air on its surroundings is the energy required to make room for the system by displacing its surroundings and is calculated from the product of pressure and volume.

This parameter can be used to study the flow of thermal energy through the climate system and to investigate the atmospheric energy budget. access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162084 shortname: vimdf longname: Total column vertically-integrated moisture divergence flux units: kg m**-2 s**-1 description:

The vertical integral of the moisture flux is the horizontal rate of flow of moisture, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of moisture spreading outward from a point, per square metre.

This parameter is positive for moisture that is spreading out, or diverging, and negative for the opposite, for moisture that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of moisture.

access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162085 shortname: vigd longname: Total column vertically-integrated divergence of geopotential flux units: W m**-2 description:

The vertical integral of the geopotential flux is the horizontal rate of flow of geopotential, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of geopotential spreading outward from a point, per square metre.

This parameter is positive for geopotential that is spreading out, or diverging, and negative for the opposite, for geopotential that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of geopotential.

Geopotential is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. It is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

This parameter can be used to study the atmospheric energy budget. See further information.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162086 shortname: vited longname: Total column vertically-integrated divergence of total energy flux units: W m**-2 description: null access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162087 shortname: viozd longname: Total column vertically-integrated divergence of ozone flux units: kg m**-2 s**-1 description:

The vertical integral of the ozone flux is the horizontal rate of flow of ozone, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Its horizontal divergence is the rate of ozone spreading outward from a point, per square metre. This parameter is positive for ozone that is spreading out, or diverging, and negative for the opposite, for ozone that is concentrating, or converging (convergence).

This parameter thus indicates whether atmospheric motions act to decrease (for divergence) or increase (for convergence) the vertical integral of ozone.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including a representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air.See further documentation.

access_ids: [] origin_ids: - -80 - 0 - 98 table: 162 mars_request_context: [] - id: 162088 shortname: vilwe longname: Total column vertically-integrated eastward cloud liquid water flux units: kg m**-1 s**-1 description:

This parameter is the horizontal rate of flow of cloud liquid water, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162089 shortname: vilwn longname: Total column vertically-integrated northward cloud liquid water flux units: kg m**-1 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162090 shortname: viiwe longname: Total column vertically-integrated eastward cloud frozen water flux units: kg m**-1 s**-1 description: This parameter is the horizontal rate of flow of cloud frozen water, in the eastward direction, per metre across the flow, for a column of air extending from the surface of the Earth to the top of the atmosphere. Positive values indicate a flux from west to east.

Note that 'cloud frozen water' is the same as 'cloud ice water'. access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162091 shortname: viiwn longname: 'Total column vertically-integrated northward cloud frozen water flux ' units: kg m**-1 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162092 shortname: vimat longname: Total column vertically-integrated mass tendency units: kg m**-2 s**-1 description: This parameter is the rate of change of the mass of a column of air extending from the Earth's surface to the top of the atmosphere. An increasing mass of the column indicates rising surface pressure. In contrast, a decrease indicates a falling surface pressure trend.

The mass of the column is calculated by dividing pressure at the Earth's surface by the gravitational acceleration, g (=9.80665 m s-2).

This parameter can be used to study the atmospheric mass and energy budgets. See further information. access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162093 shortname: viwe longname: Total column vertically-integrated water enthalpy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162100 shortname: srta longname: Time-integrated temperature tendency due to short-wave radiation units: K description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162101 shortname: trta longname: Time-integrated temperature tendency due to long-wave radiation units: K description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162102 shortname: srtca longname: Time-integrated temperature tendency due to short wave radiation, clear sky units: K description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162103 shortname: trtca longname: Time-integrated temperature tendency due to long-wave radiation, clear sky units: K description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162104 shortname: umfa longname: Time-integrated updraught mass flux units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162105 shortname: dmfa longname: Time-integrated downdraught mass flux units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162106 shortname: udra longname: Time-integrated updraught detrainment rate units: kg m**-3 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162107 shortname: ddra longname: Time-integrated downdraught detrainment rate units: kg m**-3 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162108 shortname: tpfa longname: Time-integrated total precipitation flux units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162109 shortname: tdcha longname: Time-integrated turbulent diffusion coefficient for heat units: m**2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162110 shortname: ttpha longname: Time-integrated temperature tendency due to parametrisations units: K description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: - *id119 - *id122 - id: 162111 shortname: qtpha longname: Time-integrated specific humidity tendency due to parametrisations units: kg kg**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162112 shortname: utpha longname: Time-integrated eastward wind tendency due to parametrisations units: m s**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162113 shortname: vtpha longname: Time-integrated northward wind tendency due to parametrisations units: m s**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 162 mars_request_context: [] - id: 162114 shortname: utendd longname: U-tendency from dynamics units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162115 shortname: vtendd longname: V-tendency from dynamics units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162116 shortname: ttendd longname: T-tendency from dynamics units: K description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162117 shortname: qtendd longname: q-tendency from dynamics units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162118 shortname: ttendr longname: T-tendency from radiation units: K description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162119 shortname: utendts longname: U-tendency from turbulent diffusion + subgrid orography units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162120 shortname: vtendts longname: V-tendency from turbulent diffusion + subgrid orography units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162121 shortname: ttendts longname: T-tendency from turbulent diffusion + subgrid orography units: K description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162122 shortname: qtendt longname: q-tendency from turbulent diffusion units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162123 shortname: utends longname: U-tendency from subgrid orography units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162124 shortname: vtends longname: V-tendency from subgrid orography units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162125 shortname: ttends longname: T-tendency from subgrid orography units: K description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162126 shortname: utendcds longname: U-tendency from convection (deep+shallow) units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162127 shortname: vtendcds longname: V-tendency from convection (deep+shallow) units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162128 shortname: ttendcds longname: T-tendency from convection (deep+shallow) units: K description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162129 shortname: qtendcds longname: q-tendency from convection (deep+shallow) units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162130 shortname: lpc longname: Liquid Precipitation flux from convection units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162131 shortname: ipc longname: Ice Precipitation flux from convection units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162132 shortname: ttendcs longname: T-tendency from cloud scheme units: K description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162133 shortname: qtendcs longname: q-tendency from cloud scheme units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162134 shortname: qltendcs longname: ql-tendency from cloud scheme units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162135 shortname: qitendcs longname: qi-tendency from cloud scheme units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162136 shortname: lpcs longname: Liquid Precip flux from cloud scheme (stratiform) units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162137 shortname: ipcs longname: Ice Precip flux from cloud scheme (stratiform) units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162138 shortname: utendcs longname: U-tendency from shallow convection units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162139 shortname: vtendcs longname: V-tendency from shallow convection units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162140 shortname: ttendsc longname: T-tendency from shallow convection units: K description: '' access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162141 shortname: qtendsc longname: q-tendency from shallow convection units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162150 shortname: ttswr longname: Temperature tendency due to short-wave radiation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162151 shortname: ttlwr longname: Temperature tendency due to long-wave radiation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162152 shortname: ttswrcs longname: Temperature tendency due to short-wave radiation, clear sky units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162153 shortname: ttlwrcs longname: Temperature tendency due to long-wave radiation, clear sky units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162154 shortname: umf longname: Updraught mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162155 shortname: dmf longname: Downdraught mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162156 shortname: udr longname: Updraught detrainment rate units: kg m**-3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162157 shortname: ddr longname: Downdraught detrainment rate units: kg m**-3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162158 shortname: tpf longname: Total precipitation flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162159 shortname: tdch longname: Turbulent diffusion coefficient for heat units: m**2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162160 shortname: ttpm longname: Temperature tendency due to parametrisations units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162161 shortname: qtpm longname: Specific humidity tendency due to parametrisations units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162162 shortname: utpm longname: Eastward wind tendency due to parametrisations units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162163 shortname: vtpm longname: Northward wind tendency due to parametrisations units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 162 mars_request_context: [] - id: 162206 shortname: '~' longname: Variance of geopotential units: m**4 s**-4 description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162207 shortname: '~' longname: Covariance of geopotential/temperature units: m**2 K s**-2 description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162208 shortname: '~' longname: Variance of temperature units: K**2 description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162209 shortname: '~' longname: Covariance of geopotential/specific humidity units: m**2 s**-2 description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162210 shortname: '~' longname: Covariance of temperature/specific humidity units: K description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162211 shortname: '~' longname: Variance of specific humidity units: '~' description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162212 shortname: '~' longname: Covariance of u component/geopotential units: m**3 s**-3 description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162213 shortname: '~' longname: Covariance of u component/temperature units: m s**-1 K description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162214 shortname: '~' longname: Covariance of u component/specific humidity units: m s**-1 description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162215 shortname: '~' longname: Variance of u component units: m**2 s**-2 description: null access_ids: [] origin_ids: - -80 - 98 table: 162 mars_request_context: [] - id: 162216 shortname: '~' longname: Covariance of v component/geopotential units: m**3 s**-3 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162217 shortname: '~' longname: Covariance of v component/temperature units: m s**-1 K description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162218 shortname: '~' longname: Covariance of v component/specific humidity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162219 shortname: '~' longname: Covariance of v component/u component units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162220 shortname: '~' longname: Variance of v component units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162221 shortname: '~' longname: Covariance of omega/geopotential units: m**2 Pa s**-3 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162222 shortname: '~' longname: Covariance of omega/temperature units: Pa s**-1 K description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162223 shortname: '~' longname: Covariance of omega/specific humidity units: Pa s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162224 shortname: '~' longname: Covariance of omega/u component units: m Pa s**-2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162225 shortname: '~' longname: Covariance of omega/v component units: m Pa s**-2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162226 shortname: '~' longname: Variance of omega units: Pa**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162227 shortname: '~' longname: Variance of surface pressure units: Pa**2 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162229 shortname: '~' longname: Variance of relative humidity units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162230 shortname: '~' longname: Covariance of u component/ozone units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162231 shortname: '~' longname: Covariance of v component/ozone units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162232 shortname: '~' longname: Covariance of omega/ozone units: Pa s**-1 description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162233 shortname: '~' longname: Variance of ozone units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 162255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 162 mars_request_context: [] - id: 170001 shortname: spi03 longname: Standardised precipitation index valid in the last 3 months units: dimensionless description: The standardized precipitation index is calculated for the seasonal forecast system. The index is calculated for each ensemble member of the seasonal forecast. access_ids: [] origin_ids: - 98 table: 170 mars_request_context: [] - id: 170002 shortname: spi06 longname: Standardised precipitation index valid in the last 6 months units: dimensionless description: The standardized precipitation index is calculated for the seasonal forecast system. The index is calculated for each ensemble member of the seasonal forecast. access_ids: [] origin_ids: - 98 table: 170 mars_request_context: [] - id: 170003 shortname: spi12 longname: Standardised precipitation index valid in the last 12 months units: dimensionless description: The standardized precipitation index is calculated for the seasonal forecast system. The index is calculated for each ensemble member of the seasonal forecast. access_ids: [] origin_ids: - 98 table: 170 mars_request_context: [] - id: 170149 shortname: tsw longname: Total soil moisture units: m description: null access_ids: [] origin_ids: - 98 table: 170 mars_request_context: [] - id: 170171 shortname: swl2 longname: Soil wetness level 2 units: m description: null access_ids: [] origin_ids: - 98 table: 170 mars_request_context: [] - id: 170179 shortname: ttr longname: Top net thermal radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 170 mars_request_context: [] - id: 171001 shortname: strfa longname: Stream function anomaly units: m**2 s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the stream function is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The horizontal wind field can be separated into divergent flow (i.e., flow that is purely divergent, with no swirl or rotation) and rotational flow (i.e., flow that is purely rotational and has no divergence).

The rotational (non-divergent) flow follows lines of constant stream function value (streamlines) and the speed of flow is proportional to the stream function gradient.

So streamlines show patterns of horizontal, rotational, air flow and the paths that particles would follow if the flow did not change with time. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id005 - *id007 - id: 171002 shortname: vpota longname: Velocity potential anomaly units: m**2 s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the velocity potential is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The horizontal wind field can be separated into divergent flow (i.e., flow that is purely divergent, with no swirl or rotation) and rotational flow (i.e., flow that is purely rotational and has no divergence).

This parameter is the scalar quantity whose gradient is the velocity vector of the irrotational flow. It can be used to show areas where the air is diverging (spreading out) or converging, which, depending on the vertical level, relate to ascending or descending air. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id005 - *id007 - id: 171003 shortname: pta longname: Potential temperature anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: - class: od stream: mmsa type: em levtype: pv - class: od stream: mmsa type: fcmean levtype: pv - id: 171004 shortname: epta longname: Equivalent potential temperature anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171005 shortname: septa longname: Saturated equivalent potential temperature anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171006 shortname: 100ua longname: 100 metre U wind component anomaly units: m s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - id: 171007 shortname: 100va longname: 100 metre V wind component anomaly units: m s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - id: 171008 shortname: 100sia longname: 100 metre wind speed anomaly units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171011 shortname: udwa longname: U component of divergent wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171012 shortname: vdwa longname: V component of divergent wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171013 shortname: urwa longname: U component of rotational wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171014 shortname: vrwa longname: V component of rotational wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171021 shortname: uctpa longname: Unbalanced component of temperature anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171022 shortname: uclna longname: Unbalanced component of logarithm of surface pressure anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171023 shortname: ucdva longname: Unbalanced component of divergence anomaly units: s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171024 shortname: lmlta longname: Lake mix-layer temperature anomaly units: K description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mixed-layer temperature of inland water bodies (lakes, reservoirs and rivers) or coastal waters is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The mixed-layer temperature is the temperature of the uppermost layer of a lake that is well mixed. The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below, where temperature changes with depth. The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

Mixing can occur when the density of the surface (and near-surface) water is greater than that of the water below. Mixing can also occur through the action of wind on the surface of the lake.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - &id227 class: od stream: mmsa type: em levtype: sfc - &id228 class: od stream: mmsa type: fcmean levtype: sfc - id: 171025 shortname: licda longname: Lake ice depth anomaly units: m description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the ice thickness on inland water bodies (lakes, reservoirs and rivers) and coastal waters is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System represents the formation and melting of ice on inland water bodies. A single ice layer is represented. Lake ice depth is the thickness of that ice layer.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171026 shortname: cla longname: Lake cover anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171027 shortname: cvla longname: Low vegetation cover anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171028 shortname: cvha longname: High vegetation cover anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171029 shortname: tvla longname: Type of low vegetation anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171030 shortname: tvha longname: Type of high vegetation anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171031 shortname: sica longname: Sea-ice cover anomaly units: (0 - 1) description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the sea-ice cover is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Sea-ice cover is the fraction of a grid box which is covered by sea-ice. Sea-ice can only occur in a grid box which is defined as ocean according to the land sea mask at the resolution being used. Sea-ice cover can also be known as sea-ice fraction or sea-ice concentration.

Sea-ice is frozen sea water which floats on the surface of the ocean. Sea-ice does not include ice which forms on land such as glaciers, icebergs and ice-sheets. It also excludes ice shelves which are anchored on land, but protrude out over the surface of the ocean. These phenomena are not modelled by the IFS.

Long-term monitoring of sea-ice cover is important for understanding climate change. Sea-ice cover also affects shipping routes through the polar regions. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171032 shortname: asna longname: Snow albedo anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171033 shortname: rsna longname: Snow density anomaly units: kg m**-3 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the snow density is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. Snow density is assumed to be constant through the depth of the snow layer. Snow density changes with time due to the weight of snow and melt water in the snowpack. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171034 shortname: ssta longname: Sea surface temperature anomaly units: K description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the temperature of sea water near the surface is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Sea surface temperature (SST) is taken from various providers, who process the observational data in different ways. Each provider uses data from several different observational sources. For example, satellites measure SST in a layer a few microns thick in the uppermost mm of the ocean, drifting buoys measure SST at a depth of about 0.2-1.5m, whereas ships sample sea water down to about 10m, while the vessel is underway. Deeper measurements are not affected by changes that occur during a day, due to the rising and setting of the Sun (diurnal variations).

Sometimes SST is taken from a forecast made by coupling the NEMO ocean model to the ECMWF Integrated Forecasting System. In this case, the SST is the average temperature of the uppermost metre of the ocean and does exhibit diurnal variations.

See further SST documentation. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171035 shortname: istal1 longname: Ice surface temperature anomaly layer 1 units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171036 shortname: istal2 longname: Ice surface temperature anomaly layer 2 units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171037 shortname: istal3 longname: Ice surface temperature anomaly layer 3 units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171038 shortname: istal4 longname: Ice surface temperature anomaly layer 4 units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171039 shortname: swval1 longname: Volumetric soil water anomaly layer 1 units: m**3 m**-3 description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the volumetric soil water is larger/smaller in layer 1 than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Volumetric soil water is the volume of water in soil.

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171040 shortname: swval2 longname: Volumetric soil water anomaly layer 2 units: m**3 m**-3 description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the volumetric soil water is larger/smaller in layer 2 than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Volumetric soil water is the volume of water in soil.

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171041 shortname: swval3 longname: Volumetric soil water anomaly layer 3 units: m**3 m**-3 description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the volumetric soil water is larger/smaller in layer 3 than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Volumetric soil water is the volume of water in soil.

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171042 shortname: swval4 longname: Volumetric soil water anomaly layer 4 units: m**3 m**-3 description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the volumetric soil water is larger/smaller in layer 4 than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Volumetric soil water is the volume of water in soil.

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

The volumetric soil water is associated with the soil texture (or classification), soil depth, and the underlying groundwater level.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171043 shortname: slta longname: Soil type anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171044 shortname: esa longname: Snow evaporation anomaly units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171045 shortname: smlta longname: Snowmelt anomaly units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171046 shortname: sdura longname: Solar duration anomaly units: s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171047 shortname: dsrpa longname: Direct solar radiation anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171048 shortname: magssa longname: Magnitude of turbulent surface stress anomaly units: N m**-2 s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171049 shortname: 10fga longname: 10 metre wind gust anomaly units: m s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the 10 metre wind gust is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during a particular time period which depends on the data extracted.

This parameter is calculated at a height of ten metres above the surface of the Earth.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171050 shortname: lspfa longname: Large-scale precipitation fraction anomaly units: s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171051 shortname: mx2t24a longname: Maximum 2 metre temperature in the last 24 hours anomaly units: K description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the maximum 2 metre temperature in the previous 24 hours is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171052 shortname: mn2t24a longname: Minimum 2 metre temperature in the last 24 hours anomaly units: K description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the minimum 2 metre temperature in the previous 24 hours is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171053 shortname: monta longname: Montgomery potential anomaly units: m**2 s**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171054 shortname: pa longname: Pressure anomaly units: Pa description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171055 shortname: mean2t24a longname: Mean 2 metre temperature in the last 24 hours anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171056 shortname: mn2d24a longname: Mean 2 metre dewpoint temperature in the last 24 hours anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171057 shortname: uvba longname: Downward UV radiation at the surface anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171058 shortname: para longname: Photosynthetically active radiation at the surface anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171059 shortname: capea longname: Convective available potential energy anomaly units: J kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171060 shortname: pva longname: Potential vorticity anomaly units: K m**2 kg**-1 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - class: od stream: mmsa type: em levtype: pt - class: od stream: mmsa type: fcmean levtype: pt - id: 171061 shortname: tpoa longname: Total precipitation from observations anomaly units: Millimetres*100 + number of stations description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171062 shortname: obcta longname: Observation count anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171063 shortname: stsktda longname: Start time for skin temperature difference anomaly units: s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171064 shortname: ftsktda longname: Finish time for skin temperature difference anomaly units: s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171065 shortname: sktda longname: Skin temperature difference anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171078 shortname: tclwa longname: Total column liquid water anomaly units: kg m**-2 description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the total amount of cloud liquid water (in a column extending from the surface of the Earth to the top of the atmosphere) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171079 shortname: tciwa longname: Total column ice water anomaly units: kg m**-2 description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the total amount of cloud ice (in a column extending from the surface of the Earth to the top of the atmosphere) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information). This parameter does not include snow (i.e., precipitating ice).

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171121 shortname: mx2t6a longname: Maximum temperature at 2 metres in the last 6 hours anomaly units: K description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the maximum 2 metre temperature in the previous 6 hours is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - id: 171122 shortname: mn2t6a longname: Minimum temperature at 2 metres in the last 6 hours anomaly units: K description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the minimum 2 metre temperature in the previous 6 hours is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - id: 171125 shortname: vitea longname: Vertically integrated total energy anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171126 shortname: '~' longname: Generic parameter for sensitive area prediction units: Various description: null access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171127 shortname: ata longname: Atmospheric tide anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171128 shortname: bva longname: Budget values anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171129 shortname: za longname: Geopotential anomaly units: m**2 s**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id005 - &id232 class: od stream: eefo type: pb levtype: pl - *id007 - &id229 class: od stream: mmsa type: em levtype: pl - &id230 class: od stream: mmsa type: fcmean levtype: pl - id: 171130 shortname: ta longname: Temperature anomaly units: K description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that temperature is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

This parameter is available on multiple levels through the atmosphere. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id005 - *id007 - *id229 - *id230 - id: 171131 shortname: ua longname: U component of wind anomaly units: m s**-1 description: An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the wind is more eastward (or less westward) than average. A negative anomaly indicates that the wind is more westward (or less eastward) than average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The U component of wind is the eastward component of the wind. It is the horizontal speed of air moving towards the east, in metres per second. A negative U component of wind thus indicates air movement towards the west. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id005 - *id007 - *id229 - *id230 - id: 171132 shortname: va longname: V component of wind anomaly units: m s**-1 description: An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the wind is more northward (or less southward) than average. A negative anomaly indicates that the wind is more southward (or less northward) than average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The V component of wind is the northward component of the wind. It is the horizontal speed of air moving towards the north, in metres per second. A negative V component of wind thus indicates air movement towards the south. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id005 - *id007 - *id229 - *id230 - id: 171133 shortname: qa longname: Specific humidity anomaly units: kg kg**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the specific humidity is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Specific humidity is the mass of water vapour per kilogram of moist air. The total mass of moist air is the sum of the dry air, water vapour, cloud liquid, cloud ice, rain and falling snow. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id005 - *id007 - *id229 - *id230 - id: 171134 shortname: spa longname: Surface pressure anomaly units: Pa description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171135 shortname: wa longname: Vertical velocity (pressure) anomaly units: Pa s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171136 shortname: tcwa longname: Total column water anomaly units: kg m**-2 description: '' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - id: 171137 shortname: tcwva longname: Total column water vapour anomaly units: kg m**-2 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the total water vapour (in a column extending from the surface of the Earth to the top of the atmosphere) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

This parameter represents the area averaged value for a grid box. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171138 shortname: voa longname: Relative vorticity anomaly units: s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the relative vorticity is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Relative vorticity is a measure of the rotation of air in the horizontal, around a vertical axis, relative to a fixed point on the surface of the Earth.

On the scale of weather systems, low pressure systems (weather features that can include rain) are associated with anticlockwise rotation (in the northern hemisphere), and high pressure systems (weather features that bring light or still winds) are associated with clockwise rotation.

Adding the effect of rotation of the Earth, the Coriolis parameter, to the relative vorticity produces the absolute vorticity. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id229 - *id230 - id: 171139 shortname: stal1 longname: Soil temperature anomaly level 1 units: K description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the soil temperature at level 1 (the middle of layer 1) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - &id231 class: od stream: eefo type: pb levtype: sfc - *id060 - *id227 - *id228 - id: 171140 shortname: swal1 longname: Soil wetness anomaly level 1 units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171141 shortname: sda longname: Snow depth anomaly units: m of water equivalent description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the snow depth is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecast System represents snow as a single additional layer over the uppermost soil level. The snow may cover all or part of the grid box. Snow depth is the depth the water would have if the snow (from the snow-covered area of a grid box ) melted and was spread evenly over the whole grid box. Therefore, its units are metres of water equivalent. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171142 shortname: lspa longname: Stratiform precipitation (Large-scale precipitation) anomaly units: m description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171143 shortname: cpa longname: Convective precipitation anomaly units: m description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171144 shortname: sfa longname: Snowfall (convective + stratiform) anomaly units: m of water equivalent description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171145 shortname: blda longname: Boundary layer dissipation anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171146 shortname: sshfa longname: Surface sensible heat flux anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171147 shortname: slhfa longname: Surface latent heat flux anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171148 shortname: chnka longname: Charnock anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171149 shortname: snra longname: Surface net radiation anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171150 shortname: tnra longname: Top net radiation anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171151 shortname: msla longname: Mean sea level pressure anomaly units: Pa description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean sea level pressure is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean sea level pressure is the pressure (force per unit area) of the atmosphere adjusted to the height of mean sea level. It is a measure of the weight that all the air in a column vertically above the area of Earth's surface would have at that point, if the point were located at the mean sea level. It is calculated over all surfaces - land, sea and in-land water.

Maps of mean sea level pressure are used to identify the locations of low and high pressure systems, often referred to as cyclones and anticyclones. Contours of mean sea level pressure also indicate the strength of the wind. Tightly packed contours show stronger winds.

The units of this parameter are pascals (Pa). Mean sea level pressure is often measured in hPa and sometimes is presented in the old units of millibars, mb (1 hPa = 1 mb = 100 Pa). access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id231 - *id060 - *id227 - *id228 - id: 171152 shortname: lspa longname: Logarithm of surface pressure anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171153 shortname: swhra longname: Short-wave heating rate anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171154 shortname: lwhra longname: Long-wave heating rate anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171155 shortname: da longname: Relative divergence anomaly units: s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the relative divergence is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The relative divergence, also called simply the divergence, is the horizontal divergence of velocity. It is the rate at which air is spreading out horizontally from a point, per square metre. This parameter is positive for air that is spreading out, or diverging, and negative for the opposite, for air that is concentrating, or converging (convergence). access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id229 - *id230 - id: 171156 shortname: gha longname: Height anomaly units: m description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that geopotential height is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Geopotential height is a measure of the height of a point in the atmosphere in relation to its potential energy. It is calculated by dividing the geopotential by the Earth's mean gravitational acceleration, g (=9.80665 m s-2). The geopotential is the gravitational potential energy of a unit mass, at a particular location, relative to mean sea level. Geopotential is also the amount of work that would have to be done, against the force of gravity, to lift a unit mass to that location from mean sea level.

Geopotential height plays an important role in synoptic meteorology (analysis of weather patterns). Charts of geopotential height plotted at constant pressure levels (e.g., 300, 500 or 850 hPa) can be used to identify weather systems such as cyclones, anticyclones, troughs and ridges.

The units of this parameter are geopotential metres. A geopotential metre is 2% shorter than a dynamic metre (also called a geodynamic metre). access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id005 - *id232 - *id007 - *id229 - *id230 - id: 171157 shortname: ra longname: Relative humidity anomaly units: '%' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171158 shortname: tspa longname: Tendency of surface pressure anomaly units: Pa s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171159 shortname: blha longname: Boundary layer height anomaly units: m description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171160 shortname: sdora longname: Standard deviation of orography anomaly units: m description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171161 shortname: isora longname: Anisotropy of sub-gridscale orography anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171162 shortname: anora longname: Angle of sub-gridscale orography anomaly units: radians description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171163 shortname: slora longname: Slope of sub-gridscale orography anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171164 shortname: tcca longname: Total cloud cover anomaly units: (0 - 1) description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that total cloud cover is larger/smaller than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Total cloud cover is the proportion of a model grid box covered by cloud. Total cloud cover is a single level field calculated from the cloud occurring at different model levels through the atmosphere. Assumptions are made about the degree of overlap/randomness between the horizontal positioning of clouds at different heights. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171165 shortname: 10ua longname: 10 metre U wind component anomaly units: m s**-1 description: An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the wind is more eastward (or less westward) than average. A negative anomaly indicates that the wind is more westward (or less eastward) than average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The 10 metre U wind component is the eastward component of the 10 m wind. It is the horizontal speed of air moving towards the east, at a height of ten metres above the surface of the Earth, in metres per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171166 shortname: 10va longname: 10 metre V wind component anomaly units: m s**-1 description: An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the wind is more northward (or less southward) than average. A negative anomaly indicates that the wind is more southward (or less northward) than average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The 10 metre V wind component is the northward component of the 10 m wind. It is the horizontal speed of air moving towards the north, at a height of ten metres above the surface of the Earth, in metres per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171167 shortname: 2ta longname: 2 metre temperature anomaly units: K description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the 2 metre temperature is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id231 - *id060 - *id227 - *id228 - id: 171168 shortname: 2da longname: 2 metre dewpoint temperature anomaly units: K description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the 2 metre dew point temperature is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Dew point temperature is the temperature to which the air would have to be cooled for saturation to occur. It is a measure of the humidity of the air. Combined with temperature and pressure, it can be used to calculate the relative humidity.

2m dew point temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions.See further information. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 171169 shortname: ssrda longname: Surface solar radiation downwards anomaly units: J m**-2 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the surface solar radiation downwards is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The surface solar radiation downwards is the amount of solar radiation (also known as shortwave radiation) reaching the surface of the Earth (both direct and diffuse). It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun. It is accumulated over a particular time period which depends on the data extracted.

The ECMWF convention for vertical fluxes is positive downwards. access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171170 shortname: stal2 longname: Soil temperature anomaly level 2 units: K description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the soil temperature at level 2 (the middle of layer 2) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171171 shortname: swal2 longname: Soil wetness anomaly level 2 units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171173 shortname: sra longname: Surface roughness anomaly units: m description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171174 shortname: ala longname: Albedo anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171175 shortname: strda longname: Surface thermal radiation downwards anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171176 shortname: ssra longname: Surface net solar radiation anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171177 shortname: stra longname: Surface net thermal radiation anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171178 shortname: tsra longname: Top net solar radiation anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171179 shortname: ttra longname: Top net thermal radiation anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171180 shortname: eqssa longname: East-West surface stress anomaly units: N m**-2 s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171181 shortname: nsssa longname: North-South surface stress anomaly units: N m**-2 s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171182 shortname: ea longname: Evaporation anomaly units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171183 shortname: stal3 longname: Soil temperature anomaly level 3 units: K description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the soil temperature at level 3 (the middle of layer 3) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171184 shortname: swal3 longname: Soil wetness anomaly level 3 units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171185 shortname: ccca longname: Convective cloud cover anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171186 shortname: lcca longname: Low cloud cover anomaly units: (0 - 1) description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that low cloud cover is larger/smaller than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Low cloud cover is the proportion of a model grid box covered by cloud occurring in the lower levels of the troposphere. Low cloud is a single level field calculated from cloud occurring on model levels with a pressure greater than 0.8 times the surface pressure. So, if the surface pressure is 1000 hPa (hectopascal), low cloud would be calculated using levels with a pressure greater than 800 hPa (below approximately 2 km (assuming a 'standard atmosphere')).

The low cloud cover parameter is calculated from cloud cover for the appropriate model levels as described above. Assumptions are made about the degree of overlap/randomness between the horizontal positioning of clouds in different model levels. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171187 shortname: mcca longname: Medium cloud cover anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171188 shortname: hcca longname: High cloud cover anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171189 shortname: sunda longname: Sunshine duration anomaly units: s description: null access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171190 shortname: ewova longname: East-West component of sub-gridscale orographic variance anomaly units: m**2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171191 shortname: nsova longname: North-South component of sub-gridscale orographic variance anomaly units: m**2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171192 shortname: nwova longname: North-West/South-East component of sub-gridscale orographic variance anomaly units: m**2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171193 shortname: neova longname: North-East/South-West component of sub-gridscale orographic variance anomaly units: m**2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171194 shortname: btmpa longname: Brightness temperature anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171195 shortname: lgwsa longname: Longitudinal component of gravity wave stress anomaly units: N m**-2 s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171196 shortname: mgwsa longname: Meridional component of gravity wave stress anomaly units: N m**-2 s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171197 shortname: gwda longname: Gravity wave dissipation anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171198 shortname: srca longname: Skin reservoir content anomaly units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171199 shortname: vfa longname: Vegetation fraction anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171200 shortname: vsoa longname: Variance of sub-gridscale orography anomaly units: m**2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171201 shortname: mx2ta longname: Maximum temperature at 2 metres anomaly units: K description: null access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - id: 171202 shortname: mn2ta longname: Minimum temperature at 2 metres anomaly units: K description: null access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id047 - *id060 - id: 171203 shortname: o3a longname: Ozone mass mixing ratio anomaly units: kg kg**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that ozone mass mixing ratio is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Ozone mass mixing ratio is the mass of ozone per kilogram of air.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation.

Naturally occurring ozone in the stratosphere helps protect organisms at the surface of the Earth from the harmful effects of ultraviolet (UV) radiation from the Sun. Ozone near the surface, often produced because of pollution, is harmful to organisms.

Most of the IFS chemical species are archived as mass mixing ratios [kg kg-1]. This link explains how to convert to concentration in terms of mass per unit volume. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id229 - *id230 - id: 171204 shortname: pawa longname: Precipitation analysis weights anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171205 shortname: roa longname: Runoff anomaly units: m description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171206 shortname: tco3a longname: Total column ozone anomaly units: kg m**-2 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that total column ozone is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Total column ozone is the total amount of ozone in a column of air extending from the surface of the Earth to the top of the (model) atmosphere. This parameter can also be referred to as total ozone, or vertically integrated ozone. The values are dominated by ozone within the stratosphere.

In the ECMWF Integrated Forecasting System (IFS), there is a simplified representation of ozone chemistry (including representation of the chemistry which has caused the ozone hole). Ozone is also transported around in the atmosphere through the motion of air. See further documentation.

Naturally occurring ozone in the stratosphere helps protect organisms at the surface of the Earth from the harmful effects of ultraviolet (UV) radiation from the Sun. Ozone near the surface, often produced because of pollution, is harmful to organisms.

In the IFS, the units for total ozone are kilograms per square metre, but before 12/06/2001 dobson units were used. Dobson units (DU) are still used extensively for total column ozone. 1 DU = 2.1415E-5 kg m-2. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171207 shortname: 10sia longname: 10 metre wind speed anomaly units: m s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the 10 metre wind speed is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The 10 metre wind speed is the horizontal speed of the wind, or movement of air, at a height of ten metres above the surface of the Earth.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171208 shortname: tsrca longname: Top net solar radiation clear sky anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171209 shortname: ttrca longname: Top net thermal radiation clear sky anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171210 shortname: ssrca longname: Surface net solar radiation clear sky anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171211 shortname: strca longname: Surface net thermal radiation, clear sky anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171212 shortname: sia longname: Solar insolation anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171214 shortname: dhra longname: Diabatic heating by radiation anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171215 shortname: dhvda longname: Diabatic heating by vertical diffusion anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171216 shortname: dhcca longname: Diabatic heating by cumulus convection anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171217 shortname: dhlca longname: Diabatic heating by large-scale condensation anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171218 shortname: vdzwa longname: Vertical diffusion of zonal wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171219 shortname: vdmwa longname: Vertical diffusion of meridional wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171220 shortname: ewgda longname: East-West gravity wave drag tendency anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171221 shortname: nsgda longname: North-South gravity wave drag tendency anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171222 shortname: ctzwa longname: Convective tendency of zonal wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171223 shortname: ctmwa longname: Convective tendency of meridional wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171224 shortname: vdha longname: Vertical diffusion of humidity anomaly units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171225 shortname: htcca longname: Humidity tendency by cumulus convection anomaly units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171226 shortname: htlca longname: Humidity tendency by large-scale condensation anomaly units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171227 shortname: crnha longname: Change from removal of negative humidity anomaly units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171228 shortname: tpa longname: Total precipitation anomaly units: m description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the total precipitation is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

This parameter is calculated from the total amount of water accumulated over a particular time period which depends on the data extracted.The units of precipitation are depth in metres. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171229 shortname: iewsa longname: Instantaneous X surface stress anomaly units: N m**-2 description: An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the surface stress is more eastward (or less westward) than average. A negative anomaly indicates that the surface stress is more westward (or less eastward) than the average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. The instantaneous X surface stress is the stress on the Earth's surface at the specified time in the eastward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171230 shortname: inssa longname: Instantaneous Y surface stress anomaly units: N m**-2 description: An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the surface stress is more northward (or less southward) than average. A negative anomaly indicates that the surface stress is more southward (or less northward) than the average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. The instantaneous Y surface stress is the stress on the Earth's surface at the specified time in the northward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag.

The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface.

The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171231 shortname: ishfa longname: Instantaneous surface heat flux anomaly units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171232 shortname: iea longname: Instantaneous moisture flux anomaly units: kg m**-2 s description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171233 shortname: asqa longname: Apparent surface humidity anomaly units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171234 shortname: lsrha longname: Logarithm of surface roughness length for heat anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171235 shortname: skta longname: Skin temperature anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171236 shortname: stal4 longname: Soil temperature level 4 anomaly units: K description: 'An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the soil temperature at level 4 (the middle of layer 4) is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The ECMWF Integrated Forecasting System model has a four-layer representation of soil:

Layer 1: 0 - 7cm

Layer 2: 7 - 28cm

Layer 3: 28 - 100cm

Layer 4: 100 - 289cm

Soil temperature is set at the middle of each layer, and heat transfer is calculated at the interfaces between them. It is assumed that there is no heat transfer out of the bottom of the lowest layer.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

See further information.' access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171237 shortname: swal4 longname: Soil wetness level 4 anomaly units: m description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171238 shortname: tsna longname: Temperature of snow layer anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171239 shortname: csfa longname: Convective snowfall anomaly units: m of water equivalent description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171240 shortname: lsfa longname: Large scale snowfall anomaly units: m of water equivalent description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171241 shortname: acfa longname: Accumulated cloud fraction tendency anomaly units: (-1 to 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171242 shortname: alwa longname: Accumulated liquid water tendency anomaly units: (-1 to 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171243 shortname: fala longname: Forecast albedo anomaly units: (0 - 1) description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the forecast albedo is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The forecast albedo is a measure of the reflectivity of the Earth's surface. It is the fraction of solar (shortwave) radiation reflected by Earth's surface, across the solar spectrum, for both direct and diffuse radiation. Typically, snow and ice have high reflectivity with albedo values of 0.8 and above, land has intermediate values between about 0.1 and 0.4 and the ocean has low values of 0.1 or less. See further documentation.

In the ECMWF Integrated Forecasting System (IFS), the model only modifies albedo values over water, ice and snow, elsewhere a background climatological albedo is used. access_ids: - dissemination origin_ids: - 98 table: 171 mars_request_context: - *id227 - *id228 - id: 171244 shortname: fsra longname: Forecast surface roughness anomaly units: m description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171245 shortname: flsra longname: Forecast logarithm of surface roughness for heat anomaly units: '~' description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171246 shortname: clwca longname: Cloud liquid water content anomaly units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171247 shortname: ciwca longname: Cloud ice water content anomaly units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171248 shortname: cca longname: Cloud cover anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171249 shortname: aiwa longname: Accumulated ice water tendency anomaly units: (-1 to 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171250 shortname: iaa longname: Ice age anomaly units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171251 shortname: attea longname: Adiabatic tendency of temperature anomaly units: K description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171252 shortname: athea longname: Adiabatic tendency of humidity anomaly units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171253 shortname: atzea longname: Adiabatic tendency of zonal wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171254 shortname: atmwa longname: Adiabatic tendency of meridional wind anomaly units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 171255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 171 mars_request_context: [] - id: 172008 shortname: msror longname: Time-mean surface runoff rate units: m s**-1 description: 'Mean rate of accumulation.
The monthly mean is computed from the rate of accumulation of the field' access_ids: - dissemination origin_ids: - -90 - -70 - 98 table: 172 mars_request_context: - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172009 shortname: mssror longname: Time-mean sub-surface runoff rate units: m s**-1 description: 'Deep soil drainage. Mean rate of accumulation.
The monthly mean is computed from the rate of accumulation of the field' access_ids: - dissemination origin_ids: - -90 - -70 - 98 table: 172 mars_request_context: - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172044 shortname: esrate longname: Time-mean snow evaporation rate units: m of water equivalent s**-1 description: null access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172045 shortname: '~' longname: Time-mean snowmelt rate units: m of water equivalent s**-1 description: null access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172050 shortname: mlspfr longname: Mean large-scale precipitation fraction units: '~' description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172142 shortname: mlsprt longname: Time-mean large-scale precipitation rate units: m s**-1 description: null access_ids: - dissemination origin_ids: - -70 - 98 table: 172 mars_request_context: - *id042 - *id043 - *id045 - *id046 - *id047 - *id048 - *id049 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id050 - *id051 - *id053 - *id054 - *id055 - *id056 - *id058 - *id059 - id: 172143 shortname: cprate longname: Time-mean convective precipitation rate units: m s**-1 description: null access_ids: - dissemination origin_ids: - -70 - 98 table: 172 mars_request_context: - *id042 - *id043 - *id045 - *id046 - *id047 - *id048 - *id049 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id050 - *id051 - *id053 - *id054 - *id055 - *id056 - *id058 - *id059 - id: 172144 shortname: mtsfr longname: Time-mean total snowfall rate units: m of water equivalent s**-1 description: This parameter is the mean rate of snowfall. It is accumulated snowfall divided by the length of the accumulation period, which depends on the data extracted.

This parameter is the sum of large-scale snowfall and convective snowfall. Large-scale snowfall is generated by the cloud scheme in the ECMWF Integrated Forecast System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective snowfall is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

The units are depth of water equivalent in metres which falls per second (i.e., the depth the melted snow would have if it were spread evenly over the grid box ).

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - -90 - -70 - 98 table: 172 mars_request_context: - *id042 - *id043 - *id045 - *id046 - *id047 - *id048 - *id049 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id050 - *id051 - *id053 - *id054 - *id055 - *id056 - *id058 - *id059 - id: 172145 shortname: bldrate longname: Boundary layer dissipation units: W m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172146 shortname: msshfl longname: Time-mean surface sensible heat flux units: W m**-2 description:

Please use 235033 for the GRIB2 encoding of this parameter.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172147 shortname: mslhfl longname: Time-mean surface latent heat flux units: W m**-2 description:

Please use 235034 for the GRIB2 encoding of this parameter.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172153 shortname: mswhr longname: Time-mean short-wave (solar) heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172154 shortname: mlwhr longname: Time-mean long-wave (thermal) heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172169 shortname: msdsrf longname: Time-mean surface downward short-wave (solar) radiation flux units: W m**-2 description:

Please use 235035 for the GRIB2 encoding of this parameter.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172175 shortname: msdtrf longname: Time-mean surface downward long-wave (thermal) radiation flux units: W m**-2 description:

Please use 235036 for the GRIB2 encoding of this parameter.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172176 shortname: msnsrf longname: Time-mean surface net short-wave (solar) radiation flux units: W m**-2 description:

Please use 235037 for the GRIB2 encoding of this parameter.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172177 shortname: msntrf longname: Time-mean surface net long-wave (thermal) radiation flux units: W m**-2 description:

Please use 235038 for the GRIB2 encoding of this parameter.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172178 shortname: mtnsrf longname: Time-mean top net short-wave (solar) radiation flux units: W m**-2 description:

Please use 235039 for the GRIB2 encoding of this parameter.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172179 shortname: mtntrf longname: Time-mean top net long-wave (thermal) radiation flux units: W m**-2 description:

Please use 235040 for the GRIB2 encoding of this parameter.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172180 shortname: ewssra longname: Time-mean eastward turbulent surface stress units: N m**-2 description:

This parameter is only available in GRIB1.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172181 shortname: nsssra longname: Time-mean northward turbulent surface stress units: N m**-2 description:

This parameter is only available in GRIB1.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172182 shortname: erate longname: Time-mean evaporation rate units: m of water equivalent s**-1 description: null access_ids: - dissemination origin_ids: - -90 - -70 - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172189 shortname: msdr longname: Mean sunshine duration rate units: s s**-1 description:

This parameter is the accumulated sunshine duration divided by the length of the accumulation period, which depends on the data extracted, giving the mean sunshine duration rate.

The sunshine duration is the length of time in which the direct solar (shortwave) radiation at the Earth's surface, falling on a plane perpendicular to the direction of the Sun, is greater than or equal to 120 W m-2. 

The minimum solar intensity level of 120 W m-2 is defined by the World Meteorological Organisation and is consistent with observed values of sunshine duration from a Campbell-Stokes recorder (sometimes called a Stokes sphere) that can only measure moderately intense sunlight and brighter.

This parameter is only available in GRIB1.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id042 - *id043 - *id044 - *id045 - *id046 - *id047 - *id048 - *id049 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id050 - *id051 - *id052 - *id053 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172195 shortname: '~' longname: Longitudinal component of gravity wave stress units: N m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172196 shortname: '~' longname: Meridional component of gravity wave stress units: N m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172197 shortname: gwdrate longname: Gravity wave dissipation units: W m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172205 shortname: mrort longname: Time-mean runoff rate units: m s**-1 description: null access_ids: - dissemination origin_ids: - -70 - 98 table: 172 mars_request_context: - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172208 shortname: '~' longname: Time-mean top net short-wave (solar) radiation flux, clear sky units: W m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172209 shortname: '~' longname: Time-mean top net long-wave (thermal) radiation flux, clear sky units: W m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172210 shortname: '~' longname: Time-mean surface net short-wave (solar) radiation flux, clear sky units: W m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172211 shortname: '~' longname: Time-mean surface net long-wave (thermal) radiation flux, clear sky units: W m**-2 description:

This parameter is only available in GRIB1.

access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172212 shortname: soira longname: Time-mean short-wave (solar) insolation rate units: W m**-2 description:

This parameter is only available in GRIB1.

access_ids: - dissemination origin_ids: - 98 table: 172 mars_request_context: - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - id: 172228 shortname: tprate longname: Time-mean total precipitation rate units: m s**-1 description: This parameter is the mean rate of total precipitation. It is accumulated precipitation divided by the length of the accumulation period, which depends on the data extracted.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

The units are depth of water equivalent in metres which falls per second (i.e., the depth the water would have if it were spread evenly over the grid box).

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step . access_ids: - dissemination origin_ids: - -90 - -70 - 98 table: 172 mars_request_context: - *id042 - *id043 - *id045 - *id046 - *id047 - *id048 - *id049 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id050 - *id051 - *id053 - *id054 - *id055 - *id056 - *id058 - *id059 - id: 172239 shortname: '~' longname: Time-mean convective snowfall rate units: m of water equivalent s**-1 description: null access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172240 shortname: '~' longname: Time-mean large-scale snowfall rate units: m of water equivalent s**-1 description: null access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 172255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 172 mars_request_context: [] - id: 173008 shortname: msrora longname: Mean surface runoff rate anomaly units: m of water equivalent s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean surface runoff rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean surface runoff rate is the amount of water from rainfall or melting snow that is not absorbed by the soil and drains away over the surface. Water may also drain away under the ground. It is the accumulated amount of water, divided by the length of the accumulation period, which depends on the data extracted.

This quantity represents the depth this water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173009 shortname: mssrora longname: Mean sub-surface runoff rate anomaly units: m of water equivalent s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean sub-surface runoff rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean sub-surface runoff rate is the amount of water deep in the soil that drains away under the ground. Water may also drain away over the surface. It is the accumulated amount of water, divided by the length of the accumulation period, which depends on the data extracted.

This quantity represents the depth this water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173044 shortname: '~' longname: Time-mean snow evaporation anomalous rate of accumulation units: m of water equivalent s**-1 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173045 shortname: '~' longname: Time-mean snowmelt anomalous rate of accumulation units: m of water equivalent s**-1 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173048 shortname: '~' longname: Magnitude of turbulent surface stress anomaly units: N m**-2 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173050 shortname: '~' longname: Large-scale precipitation fraction anomaly units: '~' description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173142 shortname: lspara longname: Stratiform precipitation (Large-scale precipitation) anomalous rate of accumulation units: m s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean large-scale precipitation rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Mean large-scale precipitation rate is accumulated precipitation divided by the length of the accumulation period, which depends on the data extracted.

For this parameter, precipitation is made up of rain and snow that falls to the Earth's surface, generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Precipitation can also be due to convection generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

The units include depth in metres of water equivalent. This is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173143 shortname: mcpra longname: Mean convective precipitation rate anomaly units: m s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean convective precipitation rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

Mean convective precipitation rate is accumulated precipitation divided by the length the accumulation period, which depends on the data extracted.

For this parameter, precipitation is rain and snow that falls to the Earth's surface, generated by the convection scheme in the ECMWF Integrated Forecasting System (IFS). The convection scheme represents convection at spatial scales smaller than the grid box. Total precipitation is made up of convective and large-scale precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. See further information.

The units include depth, in metres of water equivalent. This is the depth the water would have if it were spread evenly over the grid box. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step . access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173144 shortname: sfara longname: Snowfall (convective + stratiform) anomalous rate of accumulation units: m of water equivalent s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean snowfall rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information ).

The mean snowfall rate is the accumulated snowfall divided by the length of the accumulation period, which depends on the data extracted.

Snowfall is the sum of large-scale snowfall and convective snowfall. Large-scale snowfall is generated by the cloud scheme in the ECMWF Integrated Forecast System. The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective snowfall is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

The units are depth of water equivalent in metres which falls per second (i.e., the depth the melted snow would have if it were spread evenly over the grid box ).

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 173145 shortname: '~' longname: Boundary layer dissipation anomaly units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173146 shortname: sshfara longname: Surface sensible heat flux anomalous rate of accumulation units: J m**-2 description: An anomaly is a difference from a defined long-term average. Since the ECMWF convention for vertical fluxes is positive downwards, a positive anomaly means either a larger downward mean surface sensible heat flux or a smaller upward flux, compared with the long-term average. A negative anomaly means either a smaller downward flux or a larger upward flux. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Surface sensible heat flux is the transfer of heat between the Earth's surface and the atmosphere through the effects of turbulent air motion (but excluding any heat transfer resulting from condensation or evaporation). The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173147 shortname: slhfara longname: Surface latent heat flux anomalous rate of accumulation units: J m**-2 description: An anomaly is a difference from a defined long-term average. Since the ECMWF convention for vertical fluxes is positive downwards, a positive anomaly means either a larger downward mean surface latent heat flux or a smaller upward flux, compared with the long-term average. A negative anomaly means either a smaller downward flux or a larger upward flux. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The surface latent heat flux is the transfer of latent heat (resulting from evaporation, condensation and other moisture phase changes) between the Earth's surface and the atmosphere through the effects of turbulent air motion. Evaporation from the Earth's surface represents a transfer of energy from the surface to the atmosphere. The mean latent heat flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173149 shortname: '~' longname: Surface net radiation anomaly units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173153 shortname: '~' longname: Short-wave heating rate anomaly units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173154 shortname: '~' longname: Long-wave heating rate anomaly units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173169 shortname: ssrdara longname: Surface solar radiation downwards anomalous rate of accumulation units: J m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173175 shortname: strdara longname: Surface thermal radiation downwards anomalous rate of accumulation units: J m**-2 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean flux of surface thermal radiation downwards is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Surface thermal radiation downwards is the amount of thermal (also known as longwave or terrestrial) radiation emitted by the atmosphere and clouds that reaches the Earth's surface. It is the amount of radiation passing through a horizontal plane. The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.

The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173176 shortname: ssrara longname: Surface solar radiation anomalous rate of accumulation units: J m**-2 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean net surface solar radiation flux is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The net surface solar radiation flux is the amount of solar radiation (also known as shortwave radiation) reaching the surface of the Earth (both direct and diffuse) minus the amount reflected by the Earth's surface (which is governed by the albedo). It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun. The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.

The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173177 shortname: strara longname: Surface thermal radiation anomalous rate of accumulation units: J m**-2 description: An anomaly is a difference from a defined long-term average. Since the ECMWF convention for vertical fluxes is positive downwards, a positive anomaly means either a larger downward mean net surface thermal radiation flux or a smaller upward flux, compared with the long-term average. A negative anomaly means either a smaller downward flux or a larger upward flux. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Thermal radiation (also known as longwave or terrestrial radiation) refers to radiation emitted by the atmosphere, clouds and the surface of the Earth. The net surface thermal radiation flux is the difference between downward and upward thermal radiation at the surface of the Earth. It is the amount of radiation passing through a horizontal plane.

The atmosphere and clouds emit thermal radiation in all directions, some of which reaches the surface as downward thermal radiation. The upward thermal radiation at the surface consists of thermal radiation emitted by the surface plus the fraction of downwards thermal radiation reflected upward by the surface. See further documentation

The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173178 shortname: tsrara longname: Top solar radiation anomalous rate of accumulation units: J m**-2 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean net flux of solar radiation at the top of the atmosphere is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The net flux of solar radiation (also known as shortwave radiation) at the top of the atmosphere is the incoming solar radiation minus the outgoing solar radiation. It is the amount of radiation passing through a horizontal plane. The incoming solar radiation is the amount received from the Sun. The outgoing solar radiation is the amount reflected and scattered by the Earth's atmosphere and surface. See further documentation.

The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.

The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173179 shortname: ttrara longname: Top thermal radiation anomalous rate of accumulation units: J m**-2 description: An anomaly is a difference from a defined long-term average. The ECMWF convention for vertical fluxes is positive downwards and the mean flux of thermal radiation at the top of the atmosphere can only be upwards (i.e., negative). Therefore, a positive anomaly means a smaller upward flux of thermal radiation and a negative anomaly means a larger upward flux, compared with the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean flux of thermal radiation (also known as longwave or terrestrial) is the thermal radiation emitted to space at the top of the atmosphere. See further documentation. The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted.

The thermal radiation emitted to space at the top of the atmosphere is commonly known as the Outgoing Longwave Radiation (OLR) (but taking a flux from the atmosphere to space as positive). access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173180 shortname: ewssara longname: East-West surface stress anomalous rate of accumulation units: N m**-2 description: An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the mean East-West surface stress is more eastward (or less westward) than average. A negative anomaly indicates that the mean East-West surface stress is more westward (or less eastward) than the average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. The mean East-West surface stress is the accumulated eastward surface stress divided by the length of the accumulation period, which depends on the data extracted.

The East-West surface stress is the stress on the Earth's surface in the eastward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag. The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface. The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173181 shortname: nsssara longname: North-South surface stress anomalous rate of accumulation units: N m**-2 description: An anomaly is a difference from a defined long-term average. A positive anomaly indicates that the mean North-South surface stress is more northward (or less southward) than average. A negative anomaly indicates that the mean North-South surface stress is more southward (or less northward) than the average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. The mean North-South surface stress is the accumulated northward surface stress divided by the length of the accumulation period, which depends on the data extracted.

The North-South surface stress is the stress on the Earth's surface in the northward direction due to both the turbulent interactions between the atmosphere and the surface, and to turbulent orographic form drag. The turbulent interactions between the atmosphere and the surface are due to the roughness of the surface. The turbulent orographic form drag is the stress due to the valleys, hills and mountains on horizontal scales below 5km being derived from land surface data at about 1 km resolution. See further information. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173182 shortname: evara longname: Time-mean evaporation anomalous rate of accumulation units: m of water equivalent s**-1 description:

An anomaly is a difference from a defined long-term average. The ECMWF Integrated Forecasting System convention is that downward fluxes are positive. Therefore a positive anomaly means either a larger downward mean evaporation flux (more condensation) or a smaller upward flux (less evaporation), compared with the long-term average. A negative anomaly means either a smaller downward flux or a larger upward flux. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Evaporation is the amount of water that has evaporated from the Earth's surface, including a simplified representation of transpiration (from vegetation), into vapour in the air above.The mean evaporation rate is the accumulated evaporation divided by the length of the accumulation period, which depends on the data extracted.

access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173189 shortname: sundara longname: Sunshine duration anomalous rate of accumulation units: dimensionless description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean sunshine duration rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean sunshine duration rate is the accumulated sunshine duration divided by the length of the accumulation period, which depends on the data extracted.

The sunshine duration is the length of time in which the direct solar (shortwave) radiation at the Earth's surface, falling on a plane perpendicular to the direction of the Sun, is greater than or equal to 120 W m-2.

The minimum solar intensity level of 120 W m-2 is defined by the World Meteorological Organisation and is consistent with observed values of sunshine duration from a Campbell-Stokes recorder (sometimes called a Stokes sphere) that can only measure moderately intense sunlight and brighter. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id047 - *id060 - *id227 - *id228 - id: 173195 shortname: '~' longname: Longitudinal component of gravity wave stress anomaly units: N m**-2 description: '' access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173196 shortname: '~' longname: Meridional component of gravity wave stress anomaly units: N m**-2 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173197 shortname: '~' longname: Gravity wave dissipation anomaly units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173205 shortname: roara longname: Runoff anomalous rate of accumulation units: m s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean runoff rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean runoff rate is the total amount of water from rainfall, melting snow, or deep in the soil, that drains away over the surface and under the ground. It is the accumulated amount of water, divided by the length of the accumulation period, which depends on the data extracted.

This quantity represents the depth this water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173208 shortname: '~' longname: Top net solar radiation, clear sky anomaly units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173209 shortname: '~' longname: Top net thermal radiation, clear sky anomaly units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173210 shortname: '~' longname: Surface net solar radiation, clear sky anomaly units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173211 shortname: '~' longname: Surface net thermal radiation, clear sky anomaly units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173212 shortname: soiara longname: Solar insolation anomalous rate of accumulation units: W m**-2 s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean solar insolation is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

Solar insolation is the incoming radiation from the Sun (also known as solar or shortwave radiation) at the top of the atmosphere (TOA). It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

Solar insolation has a diurnal cycle (as it is defined into a horizontal plane and not a plane perpendicular to the Sun), as well as an annual cycle due to the change in Sun-Earth distance, and the approximately 11-year solar cycle. Solar insolation at the TOA has experienced no absorption, scattering or reflection within the atmosphere (e.g., from clouds, water vapour, ozone, trace gases and aerosol).

The mean flux is the accumulated flux divided by the length of the accumulation period, which depends on the data extracted. The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id227 - *id228 - id: 173228 shortname: tpara longname: Total precipitation anomalous rate of accumulation units: m s**-1 description: An anomaly is a difference from a defined long-term average. Positive/negative values of this parameter indicate that the mean precipitation rate is higher/lower than the long-term average. The long-term average is typically derived from several decades of model data and will vary with location and time of year (see further information).

The mean precipitation rate is the accumulated precipitation divided by the length of the accumulation period, which depends on the data extracted.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

The units are depth of water equivalent in metres which falls per second. It is the depth the water would have if it were spread evenly over the grid box.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step . access_ids: - dissemination origin_ids: - 98 table: 173 mars_request_context: - *id047 - *id231 - *id060 - *id227 - *id228 - id: 173239 shortname: '~' longname: Convective snowfall anomaly units: m of water equivalent s**-1 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173240 shortname: '~' longname: Large scale snowfall anomaly units: m of water equivalent s**-1 description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 173255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 173 mars_request_context: [] - id: 174006 shortname: '~' longname: Total soil moisture units: m description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174008 shortname: sro longname: Surface runoff units: kg m**-2 description: 'Lateral water flow occurring at the surface
[This GRIB2 encoding is only to be used in CARRA/CERRA, S2S and UERRA. Please use paramId 231010 otherwise.]' access_ids: [] origin_ids: - 0 - 98 table: 174 mars_request_context: [] - id: 174010 shortname: sswcsdown longname: Clear-sky (II) down surface sw flux units: W m**-2 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174013 shortname: sswcsup longname: Clear-sky (II) up surface sw flux units: W m**-2 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174025 shortname: vis15 longname: Visibility at 1.5m units: m description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174031 shortname: '~' longname: Fraction of sea-ice in sea units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174034 shortname: '~' longname: Open-sea surface temperature units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174039 shortname: '~' longname: Volumetric soil water layer 1 units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174040 shortname: '~' longname: Volumetric soil water layer 2 units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174041 shortname: '~' longname: Volumetric soil water layer 3 units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174042 shortname: '~' longname: Volumetric soil water layer 4 units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174049 shortname: '~' longname: 10 metre wind gust in the last 24 hours units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174050 shortname: mn15t longname: Minimum temperature at 1.5m since previous post-processing units: K description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174051 shortname: mx15t longname: Maximum temperature at 1.5m since previous post-processing units: K description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174052 shortname: rhum longname: Relative humidity at 1.5m units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174055 shortname: '~' longname: 1.5m temperature - mean in the last 24 hours units: K description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174083 shortname: '~' longname: Net primary productivity units: kg C m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174085 shortname: '~' longname: 10m U wind over land units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174086 shortname: '~' longname: 10m V wind over land units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174087 shortname: '~' longname: 1.5m temperature over land units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174088 shortname: '~' longname: 1.5m dewpoint temperature over land units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174089 shortname: '~' longname: Top incoming solar radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174090 shortname: '~' longname: Top outgoing solar radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174092 shortname: sialb longname: Sea ice albedo units: (0 - 1) description: '' access_ids: [] origin_ids: [] table: 174 mars_request_context: [] - id: 174093 shortname: sitemptop longname: Sea ice surface temperature units: deg C description: '' access_ids: [] origin_ids: [] table: 174 mars_request_context: [] - id: 174094 shortname: '~' longname: Mean sea surface temperature units: K description: Weighted average of water and sea-ice values access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174095 shortname: '~' longname: 1.5m specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174096 shortname: 2sh longname: 2 metre specific humidity units: kg kg**-1 description: '' access_ids: - dissemination origin_ids: - -20 - 0 - 34 - 98 table: 174 mars_request_context: - *id024 - *id034 - *id025 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 174097 shortname: sisnthick longname: Sea ice snow thickness units: m description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174098 shortname: sithick longname: Sea-ice thickness units: m description: null access_ids: - dissemination origin_ids: - -40 - -20 - 98 table: 174 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 174099 shortname: '~' longname: Liquid water potential temperature units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174110 shortname: '~' longname: Ocean ice concentration units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174111 shortname: '~' longname: Ocean mean ice depth units: m description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174112 shortname: siue longname: Sea ice velocity along x units: m s**-1 description: '' access_ids: [] origin_ids: [] table: 174 mars_request_context: [] - id: 174113 shortname: sivn longname: Sea ice velocity along y units: m s**-1 description: '' access_ids: [] origin_ids: [] table: 174 mars_request_context: [] - id: 174116 shortname: swrsurf longname: Short wave radiation flux at surface units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174117 shortname: swrtop longname: Short wave radiation flux at top of atmosphere units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174137 shortname: tcwvap longname: Total column water vapour units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174139 shortname: '~' longname: Soil temperature layer 1 units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174142 shortname: lsrrate longname: Large scale rainfall rate units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174143 shortname: crfrate longname: Convective rainfall rate units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174164 shortname: '~' longname: Average potential temperature in upper 293.4m units: degrees C description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174167 shortname: '~' longname: 1.5m temperature units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174168 shortname: '~' longname: 1.5m dewpoint temperature units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174170 shortname: '~' longname: Soil temperature layer 2 units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174175 shortname: '~' longname: Average salinity in upper 293.4m units: psu description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174183 shortname: '~' longname: Soil temperature layer 3 units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174186 shortname: vlca longname: Very low cloud amount units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174201 shortname: '~' longname: 1.5m temperature - maximum in the last 24 hours units: K description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174202 shortname: '~' longname: 1.5m temperature - minimum in the last 24 hours units: K description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174236 shortname: '~' longname: Soil temperature layer 4 units: K description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174239 shortname: csfrate longname: Convective snowfall rate units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174240 shortname: lsfrate longname: Large scale snowfall rate units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174248 shortname: tccro longname: Total cloud amount - random overlap units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174249 shortname: tcclwr longname: Total cloud amount in lw radiation units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 174255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 174 mars_request_context: [] - id: 175006 shortname: '~' longname: Total soil moisture units: m description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175031 shortname: '~' longname: Fraction of sea-ice in sea units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175034 shortname: '~' longname: Open-sea surface temperature units: K description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175039 shortname: '~' longname: Volumetric soil water layer 1 units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175040 shortname: '~' longname: Volumetric soil water layer 2 units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175041 shortname: '~' longname: Volumetric soil water layer 3 units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175042 shortname: '~' longname: Volumetric soil water layer 4 units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175049 shortname: '~' longname: 10m wind gust in the last 24 hours units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175055 shortname: '~' longname: 1.5m temperature - mean in the last 24 hours units: K description: '' access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175083 shortname: '~' longname: Net primary productivity units: kg C m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175085 shortname: '~' longname: 10m U wind over land units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175086 shortname: '~' longname: 10m V wind over land units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175087 shortname: '~' longname: 1.5m temperature over land units: K description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175088 shortname: '~' longname: 1.5m dewpoint temperature over land units: K description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175089 shortname: '~' longname: Top incoming solar radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175090 shortname: '~' longname: Top outgoing solar radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175110 shortname: '~' longname: Ocean ice concentration units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175111 shortname: '~' longname: Ocean mean ice depth units: m description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175139 shortname: '~' longname: Soil temperature layer 1 units: K description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175164 shortname: '~' longname: Average potential temperature in upper 293.4m units: degrees C description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175167 shortname: '~' longname: 1.5m temperature units: K description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175168 shortname: '~' longname: 1.5m dewpoint temperature units: K description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175170 shortname: '~' longname: Soil temperature layer 2 units: K description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175175 shortname: '~' longname: Average salinity in upper 293.4m units: psu description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175183 shortname: '~' longname: Soil temperature layer 3 units: K description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175201 shortname: '~' longname: 1.5m temperature - maximum in the last 24 hours units: K description: '' access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175202 shortname: '~' longname: 1.5m temperature - minimum in the last 24 hours units: K description: '' access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175236 shortname: '~' longname: Soil temperature layer 4 units: K description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 175255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 175 mars_request_context: [] - id: 180149 shortname: tsw longname: Total soil wetness units: m description: null access_ids: [] origin_ids: - 98 table: 180 mars_request_context: [] - id: 180176 shortname: ssr longname: Surface net solar radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 180 mars_request_context: [] - id: 180177 shortname: str longname: Surface net thermal radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 180 mars_request_context: [] - id: 180178 shortname: tsr longname: Top net solar radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 180 mars_request_context: [] - id: 180179 shortname: ttr longname: Top net thermal radiation units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 180 mars_request_context: [] - id: 190141 shortname: sdsien longname: Snow depth units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 190 mars_request_context: [] - id: 190170 shortname: cap longname: Field capacity units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 190 mars_request_context: [] - id: 190171 shortname: wiltsien longname: Wilting point units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 190 mars_request_context: [] - id: 190173 shortname: sr longname: Roughness length units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 190 mars_request_context: [] - id: 190229 shortname: tsm longname: Total soil moisture units: m**3 m**-3 description: Instantaneous value, vertically accumulated access_ids: [] origin_ids: - 98 table: 190 mars_request_context: [] - id: 200001 shortname: strfdiff longname: Stream function difference units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200002 shortname: vpotdiff longname: Velocity potential difference units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200003 shortname: ptdiff longname: Potential temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200004 shortname: eqptdiff longname: Equivalent potential temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200005 shortname: septdiff longname: Saturated equivalent potential temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200011 shortname: udvwdiff longname: U component of divergent wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200012 shortname: vdvwdiff longname: V component of divergent wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200013 shortname: urtwdiff longname: U component of rotational wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200014 shortname: vrtwdiff longname: V component of rotational wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200021 shortname: uctpdiff longname: Unbalanced component of temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200022 shortname: uclndiff longname: Unbalanced component of logarithm of surface pressure difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200023 shortname: ucdvdiff longname: Unbalanced component of divergence difference units: s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200024 shortname: '~' longname: Reserved for future unbalanced components units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200025 shortname: '~' longname: Reserved for future unbalanced components units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200026 shortname: cldiff longname: Lake cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200027 shortname: cvldiff longname: Low vegetation cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200028 shortname: cvhdiff longname: High vegetation cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200029 shortname: tvldiff longname: Type of low vegetation difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200030 shortname: tvhdiff longname: Type of high vegetation difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200031 shortname: sicdiff longname: Sea-ice cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200032 shortname: asndiff longname: Snow albedo difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200033 shortname: rsndiff longname: Snow density difference units: kg m**-3 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200034 shortname: sstdiff longname: Sea surface temperature difference units: K description: '' access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200035 shortname: istl1diff longname: Ice surface temperature layer 1 difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200036 shortname: istl2diff longname: Ice surface temperature layer 2 difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200037 shortname: istl3diff longname: Ice surface temperature layer 3 difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200038 shortname: istl4diff longname: Ice surface temperature layer 4 difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200039 shortname: swvl1diff longname: Volumetric soil water layer 1 difference units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200040 shortname: swvl2diff longname: Volumetric soil water layer 2 difference units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200041 shortname: swvl3diff longname: Volumetric soil water layer 3 difference units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200042 shortname: swvl4diff longname: Volumetric soil water layer 4 difference units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200043 shortname: sltdiff longname: Soil type difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200044 shortname: esdiff longname: Snow evaporation difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200045 shortname: smltdiff longname: Snowmelt difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200046 shortname: sdurdiff longname: Solar duration difference units: s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200047 shortname: dsrpdiff longname: Direct solar radiation difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200048 shortname: magssdiff longname: Magnitude of turbulent surface stress difference units: N m**-2 s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200049 shortname: 10fgdiff longname: 10 metre wind gust difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200050 shortname: lspfdiff longname: Large-scale precipitation fraction difference units: s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200051 shortname: mx2t24diff longname: Maximum 2 metre temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200052 shortname: mn2t24diff longname: Minimum 2 metre temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200053 shortname: montdiff longname: Montgomery potential difference units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200054 shortname: presdiff longname: Pressure difference units: Pa description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200055 shortname: mean2t24diff longname: Mean 2 metre temperature in the last 24 hours difference units: K description: '' access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200056 shortname: mn2d24diff longname: Mean 2 metre dewpoint temperature in the last 24 hours difference units: K description: '' access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200057 shortname: uvbdiff longname: Downward UV radiation at the surface difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200058 shortname: pardiff longname: Photosynthetically active radiation at the surface difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200059 shortname: capediff longname: Convective available potential energy difference units: J kg**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200060 shortname: pvdiff longname: Potential vorticity difference units: K m**2 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200061 shortname: tpodiff longname: Total precipitation from observations difference units: Millimetres*100 + number of stations description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200062 shortname: obctdiff longname: Observation count difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200063 shortname: '~' longname: Start time for skin temperature difference units: s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200064 shortname: '~' longname: Finish time for skin temperature difference units: s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200065 shortname: '~' longname: Skin temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200066 shortname: '~' longname: Leaf area index, low vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200067 shortname: '~' longname: Leaf area index, high vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200070 shortname: '~' longname: Biome cover, low vegetation units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200071 shortname: '~' longname: Biome cover, high vegetation units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200078 shortname: '~' longname: Total column liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200079 shortname: '~' longname: Total column ice water units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200080 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200081 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200082 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200083 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200084 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200085 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200086 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200087 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200088 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200089 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200090 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200091 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200092 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200093 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200094 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200095 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200096 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200097 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200098 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200099 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200100 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200101 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200102 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200103 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200104 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200105 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200106 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200107 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200108 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200109 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200110 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200111 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200112 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200113 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200114 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200115 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200116 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200117 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200118 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200119 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200120 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200121 shortname: mx2t6diff longname: Maximum temperature at 2 metres difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200122 shortname: mn2t6diff longname: Minimum temperature at 2 metres difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200123 shortname: 10fg6diff longname: 10 metre wind gust in the last 6 hours difference units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200125 shortname: '~' longname: Vertically integrated total energy units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200126 shortname: '~' longname: Generic parameter for sensitive area prediction units: Various description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200127 shortname: atdiff longname: Atmospheric tide difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200128 shortname: bvdiff longname: Budget values difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200129 shortname: zdiff longname: Geopotential difference units: m**2 s**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200130 shortname: tdiff longname: Temperature difference units: K description: null access_ids: [] origin_ids: - -80 - 98 table: 200 mars_request_context: - &id233 class: od stream: elda type: 4i levtype: ml - &id234 class: od stream: elda type: eme levtype: ml - &id235 class: od stream: elda type: me levtype: ml - &id236 class: od stream: lwda type: 4i levtype: ml - &id237 class: od stream: lwda type: me levtype: ml - &id238 class: od stream: oper type: 4i levtype: ml - &id239 class: od stream: oper type: me levtype: ml - id: 200131 shortname: udiff longname: U component of wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: - *id233 - *id234 - *id235 - *id236 - *id237 - *id238 - *id239 - id: 200132 shortname: vdiff longname: V component of wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: - *id233 - *id234 - *id235 - *id236 - *id237 - *id238 - *id239 - id: 200133 shortname: qdiff longname: Specific humidity difference units: kg kg**-1 description: null access_ids: [] origin_ids: - -80 - 98 table: 200 mars_request_context: - *id233 - *id236 - *id238 - id: 200134 shortname: spdiff longname: Surface pressure difference units: Pa description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200135 shortname: wdiff longname: Vertical velocity (pressure) difference units: Pa s**-1 description: '' access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200136 shortname: tcwdiff longname: Total column water difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200137 shortname: tcwvdiff longname: Total column water vapour difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200138 shortname: vodiff longname: Vorticity (relative) difference units: s**-1 description: null access_ids: [] origin_ids: - -80 - 98 table: 200 mars_request_context: - *id233 - *id234 - *id235 - *id236 - *id237 - *id238 - *id239 - id: 200139 shortname: stl1diff longname: Soil temperature level 1 difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200140 shortname: swl1diff longname: Soil wetness level 1 difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200141 shortname: sddiff longname: Snow depth difference units: m of water equivalent description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200142 shortname: lspdiff longname: Stratiform precipitation (Large-scale precipitation) difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200143 shortname: cpdiff longname: Convective precipitation difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200144 shortname: sfdiff longname: Snowfall (convective + stratiform) difference units: m of water equivalent description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200145 shortname: blddiff longname: Boundary layer dissipation difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200146 shortname: sshfdiff longname: Surface sensible heat flux difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200147 shortname: slhfdiff longname: Surface latent heat flux difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200148 shortname: chnkdiff longname: Charnock difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200149 shortname: snrdiff longname: Surface net radiation difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200150 shortname: tnrdiff longname: Top net radiation difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200151 shortname: msldiff longname: Mean sea level pressure difference units: Pa description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200152 shortname: lnspdiff longname: Logarithm of surface pressure difference units: kg m**-2 description: null access_ids: [] origin_ids: - -80 - 98 table: 200 mars_request_context: - *id233 - *id234 - *id235 - *id236 - *id237 - *id238 - *id239 - id: 200153 shortname: swhrdiff longname: Short-wave heating rate difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200154 shortname: lwhrdiff longname: Long-wave heating rate difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200155 shortname: ddiff longname: Divergence difference units: s**-1 description: null access_ids: [] origin_ids: - -80 - 98 table: 200 mars_request_context: - *id233 - *id234 - *id235 - *id236 - *id237 - *id238 - *id239 - id: 200156 shortname: ghdiff longname: Height difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200157 shortname: rdiff longname: Relative humidity difference units: '%' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200158 shortname: tspdiff longname: Tendency of surface pressure difference units: Pa s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200159 shortname: blhdiff longname: Boundary layer height difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200160 shortname: sdordiff longname: Standard deviation of orography difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200161 shortname: isordiff longname: Anisotropy of sub-gridscale orography difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200162 shortname: anordiff longname: Angle of sub-gridscale orography difference units: radians description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200163 shortname: slordiff longname: Slope of sub-gridscale orography difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200164 shortname: tccdiff longname: Total cloud cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200165 shortname: 10udiff longname: 10 metre U wind component difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200166 shortname: 10vdiff longname: 10 metre V wind component difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200167 shortname: 2tdiff longname: 2 metre temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200168 shortname: 2ddiff longname: 2 metre dewpoint temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200169 shortname: ssrddiff longname: Surface solar radiation downwards difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200170 shortname: stl2diff longname: Soil temperature level 2 difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200171 shortname: swl2diff longname: Soil wetness level 2 difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200172 shortname: lsmdiff longname: Land-sea mask difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200173 shortname: srdiff longname: Surface roughness difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200174 shortname: aldiff longname: Albedo difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200175 shortname: strddiff longname: Surface thermal radiation downwards difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200176 shortname: ssrdiff longname: Surface net solar radiation difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200177 shortname: strdiff longname: Surface net thermal radiation difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200178 shortname: tsrdiff longname: Top net solar radiation difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200179 shortname: ttrdiff longname: Top net thermal radiation difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200180 shortname: ewssdiff longname: East-West surface stress difference units: N m**-2 s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200181 shortname: nsssdiff longname: North-South surface stress difference units: N m**-2 s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200182 shortname: ediff longname: Evaporation difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200183 shortname: stl3diff longname: Soil temperature level 3 difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200184 shortname: swl3diff longname: Soil wetness level 3 difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200185 shortname: cccdiff longname: Convective cloud cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200186 shortname: lccdiff longname: Low cloud cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200187 shortname: mccdiff longname: Medium cloud cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200188 shortname: hccdiff longname: High cloud cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200189 shortname: sunddiff longname: Sunshine duration difference units: s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200190 shortname: ewovdiff longname: East-West component of sub-gridscale orographic variance difference units: m**2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200191 shortname: nsovdiff longname: North-South component of sub-gridscale orographic variance difference units: m**2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200192 shortname: nwovdiff longname: North-West/South-East component of sub-gridscale orographic variance difference units: m**2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200193 shortname: neovdiff longname: North-East/South-West component of sub-gridscale orographic variance difference units: m**2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200194 shortname: btmpdiff longname: Brightness temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200195 shortname: lgwsdiff longname: Longitudinal component of gravity wave stress difference units: N m**-2 s description: '' access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200196 shortname: mgwsdiff longname: Meridional component of gravity wave stress difference units: N m**-2 s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200197 shortname: gwddiff longname: Gravity wave dissipation difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200198 shortname: srcdiff longname: Skin reservoir content difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200199 shortname: vegdiff longname: Vegetation fraction difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200200 shortname: vsodiff longname: Variance of sub-gridscale orography difference units: m**2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200201 shortname: mx2tdiff longname: Maximum temperature at 2 metres since previous post-processing difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200202 shortname: mn2tdiff longname: Minimum temperature at 2 metres since previous post-processing difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200203 shortname: o3diff longname: Ozone mass mixing ratio difference units: kg kg**-1 description: null access_ids: [] origin_ids: - -80 - 98 table: 200 mars_request_context: - *id233 - *id236 - *id238 - id: 200204 shortname: pawdiff longname: Precipitation analysis weights difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200205 shortname: rodiff longname: Runoff difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200206 shortname: tco3diff longname: Total column ozone difference units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200207 shortname: 10sidiff longname: 10 metre wind speed difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200208 shortname: tsrcdiff longname: Top net solar radiation, clear sky difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200209 shortname: ttrcdiff longname: Top net thermal radiation, clear sky difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200210 shortname: ssrcdiff longname: Surface net solar radiation, clear sky difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200211 shortname: strcdiff longname: Surface net thermal radiation, clear sky difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200212 shortname: tisrdiff longname: TOA incident solar radiation difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200214 shortname: dhrdiff longname: Diabatic heating by radiation difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200215 shortname: dhvddiff longname: Diabatic heating by vertical diffusion difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200216 shortname: dhccdiff longname: Diabatic heating by cumulus convection difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200217 shortname: dhlcdiff longname: Diabatic heating large-scale condensation difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200218 shortname: vdzwdiff longname: Vertical diffusion of zonal wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200219 shortname: vdmwdiff longname: Vertical diffusion of meridional wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200220 shortname: ewgddiff longname: East-West gravity wave drag tendency difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200221 shortname: nsgddiff longname: North-South gravity wave drag tendency difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200222 shortname: ctzwdiff longname: Convective tendency of zonal wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200223 shortname: ctmwdiff longname: Convective tendency of meridional wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200224 shortname: vdhdiff longname: Vertical diffusion of humidity difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200225 shortname: htccdiff longname: Humidity tendency by cumulus convection difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200226 shortname: htlcdiff longname: Humidity tendency by large-scale condensation difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200227 shortname: crnhdiff longname: Change from removal of negative humidity difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200228 shortname: tpdiff longname: Total precipitation difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200229 shortname: iewsdiff longname: Instantaneous X surface stress difference units: N m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200230 shortname: inssdiff longname: Instantaneous Y surface stress difference units: N m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200231 shortname: ishfdiff longname: Instantaneous surface heat flux difference units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200232 shortname: iediff longname: Instantaneous moisture flux difference units: kg m**-2 s description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200233 shortname: asqdiff longname: Apparent surface humidity difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200234 shortname: lsrhdiff longname: Logarithm of surface roughness length for heat difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200235 shortname: sktdiff longname: Skin temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200236 shortname: stl4diff longname: Soil temperature level 4 difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200237 shortname: swl4diff longname: Soil wetness level 4 difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200238 shortname: tsndiff longname: Temperature of snow layer difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200239 shortname: csfdiff longname: Convective snowfall difference units: m of water equivalent description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200240 shortname: lsfdiff longname: Large scale snowfall difference units: m of water equivalent description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200241 shortname: acfdiff longname: Accumulated cloud fraction tendency difference units: (-1 to 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200242 shortname: alwdiff longname: Accumulated liquid water tendency difference units: (-1 to 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200243 shortname: faldiff longname: Forecast albedo difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200244 shortname: fsrdiff longname: Forecast surface roughness difference units: m description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200245 shortname: flsrdiff longname: Forecast logarithm of surface roughness for heat difference units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200246 shortname: clwcdiff longname: Specific cloud liquid water content difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200247 shortname: ciwcdiff longname: Specific cloud ice water content difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200248 shortname: ccdiff longname: Cloud cover difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200249 shortname: aiwdiff longname: Accumulated ice water tendency difference units: (-1 to 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200250 shortname: icediff longname: Ice age difference units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200251 shortname: attediff longname: Adiabatic tendency of temperature difference units: K description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200252 shortname: athediff longname: Adiabatic tendency of humidity difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200253 shortname: atzediff longname: Adiabatic tendency of zonal wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200254 shortname: atmwdiff longname: Adiabatic tendency of meridional wind difference units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 200255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 200 mars_request_context: [] - id: 201001 shortname: '~' longname: downward shortwave radiant flux density units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201002 shortname: '~' longname: upward shortwave radiant flux density units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201003 shortname: '~' longname: downward longwave radiant flux density units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201004 shortname: '~' longname: upward longwave radiant flux density units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201005 shortname: apab_s longname: downwd photosynthetic active radiant flux density units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201006 shortname: '~' longname: net shortwave flux units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201007 shortname: '~' longname: net longwave flux units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201008 shortname: '~' longname: total net radiative flux density units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201009 shortname: '~' longname: downw shortw radiant flux density, cloudfree part units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201010 shortname: '~' longname: upw shortw radiant flux density, cloudy part units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201011 shortname: '~' longname: downw longw radiant flux density, cloudfree part units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201012 shortname: '~' longname: upw longw radiant flux density, cloudy part units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201013 shortname: sohr_rad longname: shortwave radiative heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201014 shortname: thhr_rad longname: longwave radiative heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201015 shortname: '~' longname: total radiative heating rate units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201016 shortname: '~' longname: soil heat flux, surface units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201017 shortname: '~' longname: soil heat flux, bottom of layer units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201029 shortname: clc longname: fractional cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201030 shortname: '~' longname: cloud cover, grid scale units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201031 shortname: qc longname: specific cloud water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 34 - 98 table: 201 mars_request_context: [] - id: 201032 shortname: '~' longname: cloud water content, grid scale, vert integrated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201033 shortname: qi longname: specific cloud ice content, grid scale units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201034 shortname: '~' longname: cloud ice content, grid scale, vert integrated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201035 shortname: '~' longname: specific rainwater content, grid scale units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201036 shortname: '~' longname: specific snow content, grid scale units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201037 shortname: '~' longname: specific rainwater content, gs, vert. integrated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201038 shortname: '~' longname: specific snow content, gs, vert. integrated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201041 shortname: twater longname: total column water units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201042 shortname: '~' longname: vert. integral of divergence of tot. water content units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201050 shortname: ch_cm_cl longname: cloud covers CH_CM_CL (000...888) units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201051 shortname: '~' longname: cloud cover CH (0..8) units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201052 shortname: '~' longname: cloud cover CM (0..8) units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201053 shortname: '~' longname: cloud cover CL (0..8) units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201054 shortname: '~' longname: total cloud cover (0..8) units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201055 shortname: '~' longname: fog (0..8) units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201056 shortname: '~' longname: fog units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201060 shortname: '~' longname: cloud cover, convective cirrus units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201061 shortname: '~' longname: specific cloud water content, convective clouds units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201062 shortname: '~' longname: cloud water content, conv clouds, vert integrated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201063 shortname: '~' longname: specific cloud ice content, convective clouds units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201064 shortname: '~' longname: cloud ice content, conv clouds, vert integrated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201065 shortname: '~' longname: convective mass flux units: kg s**-1 m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201066 shortname: '~' longname: Updraft velocity, convection units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201067 shortname: '~' longname: entrainment parameter, convection units: m**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201068 shortname: hbas_con longname: cloud base, convective clouds (above msl) units: m description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201069 shortname: htop_con longname: cloud top, convective clouds (above msl) units: m description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201070 shortname: '~' longname: convective layers (00...77) (BKE) units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201071 shortname: '~' longname: KO-index units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201072 shortname: bas_con longname: convection base index units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201073 shortname: top_con longname: convection top index units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201074 shortname: dt_con longname: convective temperature tendency units: K s**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201075 shortname: dqv_con longname: convective tendency of specific humidity units: s**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201076 shortname: '~' longname: convective tendency of total heat units: J kg**-1 s**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201077 shortname: '~' longname: convective tendency of total water units: s**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201078 shortname: du_con longname: convective momentum tendency (X-component) units: m s**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201079 shortname: dv_con longname: convective momentum tendency (Y-component) units: m s**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201080 shortname: '~' longname: convective vorticity tendency units: s**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201081 shortname: '~' longname: convective divergence tendency units: s**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201082 shortname: htop_dc longname: top of dry convection (above msl) units: m description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201083 shortname: '~' longname: dry convection top index units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201084 shortname: hzerocl longname: height of 0 degree Celsius isotherm above msl units: m description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201085 shortname: snowlmt longname: height of snow-fall limit units: m description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201099 shortname: qrs_gsp longname: spec. content of precip. particles units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201100 shortname: prr_gsp longname: surface precipitation rate, rain, grid scale units: kg s**-1 m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201101 shortname: prs_gsp longname: surface precipitation rate, snow, grid scale units: kg s**-1 m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201102 shortname: rain_gsp longname: surface precipitation amount, rain, grid scale units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201111 shortname: prr_con longname: surface precipitation rate, rain, convective units: kg s**-1 m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201112 shortname: prs_con longname: surface precipitation rate, snow, convective units: kg s**-1 m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201113 shortname: rain_con longname: surface precipitation amount, rain, convective units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201150 shortname: '~' longname: coefficient of horizontal diffusion units: m**2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201187 shortname: vmax_10m longname: Maximum wind velocity units: m s**-1 description: '' access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201200 shortname: w_i longname: water content of interception store units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201203 shortname: t_snow longname: snow temperature units: K description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201215 shortname: t_ice longname: ice surface temperature units: K description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201241 shortname: cape_con longname: convective available potential energy units: J kg**-1 description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 201255 shortname: '~' longname: Indicates a missing value units: '~' description: null access_ids: [] origin_ids: - 98 table: 201 mars_request_context: [] - id: 210001 shortname: aermr01 longname: Sea Salt Aerosol (0.03 - 0.5 um) Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210002 shortname: aermr02 longname: Sea Salt Aerosol (0.5 - 5 um) Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210003 shortname: aermr03 longname: Sea Salt Aerosol (5 - 20 um) Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210004 shortname: aermr04 longname: Dust Aerosol (0.03 - 0.55 um) Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210005 shortname: aermr05 longname: Dust Aerosol (0.55 - 0.9 um) Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210006 shortname: aermr06 longname: Dust Aerosol (0.9 - 20 um) Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210007 shortname: aermr07 longname: Hydrophilic Organic Matter Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210008 shortname: aermr08 longname: Hydrophobic Organic Matter Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210009 shortname: aermr09 longname: Hydrophilic Black Carbon Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210010 shortname: aermr10 longname: Hydrophobic Black Carbon Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210011 shortname: aermr11 longname: Sulphate Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210012 shortname: aermr12 longname: SO2 precursor mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210013 shortname: aermr13 longname: Volcanic ash aerosol mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210014 shortname: aermr14 longname: Volcanic sulphate aerosol mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210015 shortname: aermr15 longname: Volcanic SO2 precursor mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210016 shortname: aergn01 longname: Aerosol type 1 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210017 shortname: aergn02 longname: Aerosol type 2 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210018 shortname: aergn03 longname: Aerosol type 3 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210019 shortname: aergn04 longname: Aerosol type 4 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210020 shortname: aergn05 longname: Aerosol type 5 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210021 shortname: aergn06 longname: Aerosol type 6 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210022 shortname: aergn07 longname: Aerosol type 7 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210023 shortname: aergn08 longname: Aerosol type 8 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210024 shortname: aergn09 longname: Aerosol type 9 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210025 shortname: aergn10 longname: Aerosol type 10 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210026 shortname: aergn11 longname: Aerosol type 11 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210027 shortname: aergn12 longname: Aerosol type 12 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210028 shortname: aerpr03 longname: SO4 aerosol precursor mass mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210029 shortname: aerwv01 longname: Water vapour mixing ratio for hydrophilic aerosols in mode 1 units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210030 shortname: aerwv02 longname: Water vapour mixing ratio for hydrophilic aerosols in mode 2 units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210031 shortname: aerls01 longname: Aerosol type 1 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210032 shortname: aerls02 longname: Aerosol type 2 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210033 shortname: aerls03 longname: Aerosol type 3 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210034 shortname: aerls04 longname: Aerosol type 4 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210035 shortname: aerls05 longname: Aerosol type 5 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210036 shortname: aerls06 longname: Aerosol type 6 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210037 shortname: aerls07 longname: Aerosol type 7 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210038 shortname: aerls08 longname: Aerosol type 8 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210039 shortname: aerls09 longname: Aerosol type 9 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210040 shortname: aerls10 longname: Aerosol type 10 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210041 shortname: aerls11 longname: Aerosol type 11 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210042 shortname: aerls12 longname: Aerosol type 12 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210043 shortname: emdms longname: DMS surface emission units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210044 shortname: aerwv03 longname: Water vapour mixing ratio for hydrophilic aerosols in mode 3 units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210045 shortname: aerwv04 longname: Water vapour mixing ratio for hydrophilic aerosols in mode 4 units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210046 shortname: aerpr longname: Aerosol precursor mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210047 shortname: aersm longname: Aerosol small mode mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210048 shortname: aerlg longname: Aerosol large mode mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210049 shortname: aodpr longname: Aerosol precursor optical depth units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210050 shortname: aodsm longname: Aerosol small mode optical depth units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210051 shortname: aodlg longname: Aerosol large mode optical depth units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210052 shortname: aerdep longname: Dust emission potential units: kg s**2 m**-5 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210053 shortname: aerlts longname: Lifting threshold speed units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210054 shortname: aerscc longname: Soil clay content units: '%' description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210055 shortname: '~' longname: Experimental product units: '~' description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210056 shortname: '~' longname: Experimental product units: '~' description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210057 shortname: ocnuc longname: Mixing ration of organic carbon aerosol, nucleation mode units: kg kg**-1 description: Profile of mixing ratio of organic carbon aerosol for nucleation mode (UKCA_MODE aerosol model) access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210058 shortname: monot longname: Monoterpene precursor mixing ratio units: kg kg**-1 description: Profile of mixing ratio of monoterpene precursor (UKCA_MODE aerosol model) access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210059 shortname: soapr longname: Secondary organic precursor mixing ratio units: kg kg**-1 description: Profile of mixing ratio of secondary organic aerosol precursors (UKCA_MODE aerosol model) access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210060 shortname: injh longname: Injection height (from IS4FIRES) units: m description: Injection height (from IS4FIRES (Sofiev et al., 2012)) access_ids: [] origin_ids: - 0 - 98 table: 210 mars_request_context: [] - id: 210061 shortname: co2 longname: Carbon dioxide mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210062 shortname: ch4 longname: Methane units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210063 shortname: n2o longname: Nitrous oxide units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210064 shortname: tcco2 longname: CO2 column-mean molar fraction units: ppm description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210065 shortname: tcch4 longname: CH4 column-mean molar fraction units: ppb description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210066 shortname: tcn2o longname: Total column Nitrous oxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210067 shortname: co2of longname: Ocean flux of Carbon Dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210068 shortname: co2nbf longname: Natural biosphere flux of Carbon Dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210069 shortname: co2apf longname: Anthropogenic emissions of Carbon Dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210070 shortname: ch4f longname: Methane Surface Fluxes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210071 shortname: kch4 longname: Methane loss rate due to radical hydroxyl (OH) units: s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210072 shortname: pm1 longname: Particulate matter d <= 1 um units: kg m**-3 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210073 shortname: pm2p5 longname: Particulate matter d <= 2.5 um units: kg m**-3 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210074 shortname: pm10 longname: Particulate matter d <= 10 um units: kg m**-3 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210079 shortname: vafire longname: Wildfire viewing angle of observation units: deg description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210080 shortname: co2fire longname: Wildfire flux of Carbon Dioxide units: kg m**-2 s**-1 description: Wildfire flux of Carbon Dioxide access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210081 shortname: cofire longname: Wildfire flux of Carbon Monoxide units: kg m**-2 s**-1 description: Wildfire flux of Carbon Monoxide access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210082 shortname: ch4fire longname: Wildfire flux of Methane units: kg m**-2 s**-1 description: Wildfire flux of Methane access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210083 shortname: nmhcfire longname: Wildfire flux of Non-Methane Hydro-Carbons units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210084 shortname: h2fire longname: Wildfire flux of Hydrogen units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210085 shortname: noxfire longname: Wildfire flux of Nitrogen Oxides NOx units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210086 shortname: n2ofire longname: Wildfire flux of Nitrous Oxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210087 shortname: pm2p5fire longname: Wildfire flux of Particulate Matter PM2.5 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210088 shortname: tpmfire longname: Wildfire flux of Total Particulate Matter units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210089 shortname: tcfire longname: Wildfire flux of Total Carbon in Aerosols units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210090 shortname: ocfire longname: Wildfire flux of Organic Carbon units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210091 shortname: bcfire longname: Wildfire flux of Black Carbon units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210092 shortname: cfire longname: Wildfire overall flux of burnt Carbon units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210093 shortname: c4ffire longname: Wildfire fraction of C4 plants units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210094 shortname: vegfire longname: Wildfire vegetation map index units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210095 shortname: ccfire longname: Wildfire Combustion Completeness units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210096 shortname: flfire longname: 'Wildfire Fuel Load: Carbon per unit area' units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210097 shortname: offire longname: Wildfire fraction of area observed units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210098 shortname: nofrp longname: Number of positive FRP pixels per grid cell units: '~' description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210099 shortname: frpfire longname: Wildfire radiative power units: W m**-2 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210100 shortname: crfire longname: Wildfire combustion rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210101 shortname: maxfrpfire longname: Wildfire radiative power maximum units: W description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210102 shortname: so2fire longname: Wildfire flux of Sulfur Dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210103 shortname: ch3ohfire longname: Wildfire Flux of Methanol (CH3OH) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210104 shortname: c2h5ohfire longname: Wildfire Flux of Ethanol (C2H5OH) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210105 shortname: c3h8fire longname: Wildfire Flux of Propane (C3H8) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210106 shortname: c2h4fire longname: Wildfire Flux of Ethene (C2H4) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210107 shortname: c3h6fire longname: Wildfire Flux of Propene (C3H6) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210108 shortname: c5h8fire longname: Wildfire Flux of Isoprene (C5H8) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210109 shortname: terpenesfire longname: Wildfire Flux of Terpenes (C5H8)n units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210110 shortname: toluenefire longname: Wildfire Flux of Toluene_lump (C7H8+ C6H6 + C8H10) units: kg m**-2 s**-1 description: 'CAVE: MOZART lumped toluene species, incorporating benzene, toluene, xylene' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210111 shortname: hialkenesfire longname: Wildfire Flux of Higher Alkenes (CnH2n, C>=4) units: kg m**-2 s**-1 description: 'Derived from summed emission factors of all alkenes (C>=4) specified in Andreae and Merlet (2001) which are not contained in the Toluene_lump group. These are: Butenes (1-butene + i-butene + tr-2-butene + cis-2-butene) (C4H8), Pentenes (1-pentene + 2-pentene) (C5H10), Hexene (C6H12), Octene (C8H16)' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210112 shortname: hialkanesfire longname: Wildfire Flux of Higher Alkanes (CnH2n+2, C>=4) units: kg m**-2 s**-1 description: 'Derived from summed emission factors of all alkanes (C>=4) specified in Andreae and Merlet (2001). These are: Butanes (n-butane + i-butane) (C4H10), Pentanes (n-pentane + i-pentane) (C5H12), Hexane (n-hexane + i-hexane) (C6H14), Heptane (C7H16)' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210113 shortname: ch2ofire longname: Wildfire Flux of Formaldehyde (CH2O) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210114 shortname: c2h4ofire longname: Wildfire Flux of Acetaldehyde (C2H4O) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210115 shortname: c3h6ofire longname: Wildfire Flux of Acetone (C3H6O) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210116 shortname: nh3fire longname: Wildfire Flux of Ammonia (NH3) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210117 shortname: c2h6sfire longname: Wildfire Flux of Dimethyl Sulfide (DMS) (C2H6S) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210118 shortname: c2h6fire longname: Wildfire Flux of Ethane (C2H6) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210119 shortname: mami longname: Mean height of maximum injection units: m description: Metres above surface access_ids: [] origin_ids: - 0 - 98 table: 210 mars_request_context: [] - id: 210120 shortname: apt longname: Plume top height above surface units: m description: Metres above surface access_ids: [] origin_ids: - 0 - 98 table: 210 mars_request_context: [] - id: 210121 shortname: no2 longname: Nitrogen dioxide mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210122 shortname: so2 longname: Sulphur dioxide mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210123 shortname: co longname: Carbon monoxide mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210124 shortname: hcho longname: Formaldehyde units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210125 shortname: tcno2 longname: Total column Nitrogen dioxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210126 shortname: tcso2 longname: Total column Sulphur dioxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210127 shortname: tcco longname: Total column Carbon monoxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210128 shortname: tchcho longname: Total column Formaldehyde units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210129 shortname: nox longname: Nitrogen Oxides units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210130 shortname: tcnox longname: Total Column Nitrogen Oxides units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210131 shortname: grg1 longname: Reactive tracer 1 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210132 shortname: tcgrg1 longname: Total column GRG tracer 1 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210133 shortname: grg2 longname: Reactive tracer 2 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210134 shortname: tcgrg2 longname: Total column GRG tracer 2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210135 shortname: grg3 longname: Reactive tracer 3 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210136 shortname: tcgrg3 longname: Total column GRG tracer 3 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210137 shortname: grg4 longname: Reactive tracer 4 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210138 shortname: tcgrg4 longname: Total column GRG tracer 4 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210139 shortname: grg5 longname: Reactive tracer 5 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210140 shortname: tcgrg5 longname: Total column GRG tracer 5 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210141 shortname: grg6 longname: Reactive tracer 6 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210142 shortname: tcgrg6 longname: Total column GRG tracer 6 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210143 shortname: grg7 longname: Reactive tracer 7 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210144 shortname: tcgrg7 longname: Total column GRG tracer 7 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210145 shortname: grg8 longname: Reactive tracer 8 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210146 shortname: tcgrg8 longname: Total column GRG tracer 8 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210147 shortname: grg9 longname: Reactive tracer 9 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210148 shortname: tcgrg9 longname: Total column GRG tracer 9 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210149 shortname: grg10 longname: Reactive tracer 10 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210150 shortname: tcgrg10 longname: Total column GRG tracer 10 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210151 shortname: sfnox longname: Surface flux Nitrogen oxides units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210152 shortname: sfno2 longname: Surface flux Nitrogen dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210153 shortname: sfso2 longname: Surface flux Sulphur dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210154 shortname: sfco2 longname: Surface flux Carbon monoxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210155 shortname: sfhcho longname: Surface flux Formaldehyde units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210156 shortname: sfgo3 longname: Surface flux GEMS Ozone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210157 shortname: sfgr1 longname: Surface flux reactive tracer 1 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210158 shortname: sfgr2 longname: Surface flux reactive tracer 2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210159 shortname: sfgr3 longname: Surface flux reactive tracer 3 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210160 shortname: sfgr4 longname: Surface flux reactive tracer 4 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210161 shortname: sfgr5 longname: Surface flux reactive tracer 5 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210162 shortname: sfgr6 longname: Surface flux reactive tracer 6 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210163 shortname: sfgr7 longname: Surface flux reactive tracer 7 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210164 shortname: sfgr8 longname: Surface flux reactive tracer 8 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210165 shortname: sfgr9 longname: Surface flux reactive tracer 9 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210166 shortname: sfgr10 longname: Surface flux reactive tracer 10 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210167 shortname: frpdayfire longname: Wildfire day-time radiative power units: W m**-2 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210169 shortname: frpngtfire longname: Wildfire night-time radiative power units: W m**-2 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210170 shortname: VSO2 longname: Volcanic sulfur dioxide mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210177 shortname: frpdayivar longname: Wildfire day-time inverse variance of radiative power units: W**-2 m**4 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210179 shortname: frpngtivar longname: Wildfire night-time inverse variance of radiative power units: W**-2 m**4 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210181 shortname: ra longname: Radon units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210182 shortname: sf6 longname: Sulphur Hexafluoride units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210183 shortname: tcra longname: Total column Radon units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210184 shortname: tcsf6 longname: Total column Sulphur Hexafluoride units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210185 shortname: sf6apf longname: Anthropogenic Emissions of Sulphur Hexafluoride units: kg m**-2 s**-1 description: Anthropogenic Emissions of Sulphur Hexafluoride access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210186 shortname: aluvpi longname: UV visible albedo for direct radiation, isotropic component (climatological) units: (0 - 1) description: 'Albedo is a measure of the reflectivity of the Earth''s surface. This parameter is the isotropic component of the snow-free land-surface albedo for solar radiation with wavelength shorter than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which were taken from observations by the MODIS satellite instrument and vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 210 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 210187 shortname: aluvpv longname: UV visible albedo for direct radiation, volumetric component (climatological) units: (0 - 1) description: 'Albedo is a measure of the reflectivity of the Earth''s surface. This parameter is the volumetric component of the snow-free land-surface albedo for solar radiation with wavelength shorter than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which were taken from observations by the MODIS satellite instrument and vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 210 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 210188 shortname: aluvpg longname: UV visible albedo for direct radiation, geometric component (climatological) units: (0 - 1) description: 'Albedo is a measure of the reflectivity of the Earth''s surface. This parameter is the volumetric component of the snow-free land-surface albedo for solar radiation with wavelength shorter than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which were taken from observations by the MODIS satellite instrument and vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 210 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 210189 shortname: alnipi longname: Near IR albedo for direct radiation, isotropic component (climatological) units: (0 - 1) description: 'Albedo is a measure of the reflectivity of the Earth''s surface. This parameter is the isotropic component of the snow-free land-surface albedo for solar radiation with wavelength longer than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which were taken from observations by the MODIS satellite instrument and vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 210 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 210190 shortname: alnipv longname: Near IR albedo for direct radiation, volumetric component (climatological) units: (0 - 1) description: 'Albedo is a measure of the reflectivity of the Earth''s surface. This parameter is the volumetric component of the snow-free land-surface albedo for solar radiation with wavelength greater than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 210 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 210191 shortname: alnipg longname: Near IR albedo for direct radiation, geometric component (climatological) units: (0 - 1) description: 'Albedo is a measure of the reflectivity of the Earth''s surface. This parameter is the geometric component of the snow-free land-surface albedo for solar radiation with wavelength greater than 0.7 µm (microns, 1 millionth of a metre).

In the ECMWF Integrated Forecasting System (IFS) albedo is dealt with separately for solar radiation with wavelengths greater/less than 0.7µm. Within each of these two bands, the dependence of the albedo of the snow-free land surface on solar zenith angle is parameterized using three coefficients: an isotropic component, a volumetric component and a geometric component. This leads to a total of six components. The IFS first uses them to compute the snow-free land-surface albedo to direct and diffuse downwelling solar radiation, and then modifies these albedos to account for water, ice and snow. Climatological (observed values averaged over a period of several years) values are used for these albedo components, which vary from month to month through the year. See further documentation

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation).' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 210 mars_request_context: - *id020 - *id022 - *id024 - *id034 - *id026 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 210192 shortname: aluvdi longname: UV visible albedo for diffuse radiation, isotropic component (climatological) units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210193 shortname: aluvdv longname: UV visible albedo for diffuse radiation, volumetric component (climatological) units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210194 shortname: aluvdg longname: UV visible albedo for diffuse radiation, geometric component (climatological) units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210195 shortname: alnidi longname: Near IR albedo for diffuse radiation, isotropic component (climatological) units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210196 shortname: alnidv longname: Near IR albedo for diffuse radiation, volumetric component (climatological) units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210197 shortname: alnidg longname: Near IR albedo for diffuse radiation, geometric component (climatological) units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210198 shortname: aluvd_p longname: UV visible albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 210199 shortname: aluvp_p longname: UV visible albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 210200 shortname: aluvpg_p longname: UV visible albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 210201 shortname: aluvpi_p longname: UV visible albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 210202 shortname: aluvpv_p longname: UV visible albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 210203 shortname: go3 longname: Ozone mass mixing ratio (full chemistry scheme) units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210206 shortname: gtco3 longname: GEMS Total column ozone units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210207 shortname: aod550 longname: Total Aerosol Optical Depth at 550nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210208 shortname: ssaod550 longname: Sea Salt Aerosol Optical Depth at 550nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210209 shortname: duaod550 longname: Dust Aerosol Optical Depth at 550nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210210 shortname: omaod550 longname: Organic Matter Aerosol Optical Depth at 550nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210211 shortname: bcaod550 longname: Black Carbon Aerosol Optical Depth at 550nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210212 shortname: suaod550 longname: Sulphate Aerosol Optical Depth at 550nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210213 shortname: aod469 longname: Total Aerosol Optical Depth at 469nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210214 shortname: aod670 longname: Total Aerosol Optical Depth at 670nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210215 shortname: aod865 longname: Total Aerosol Optical Depth at 865nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210216 shortname: aod1240 longname: Total Aerosol Optical Depth at 1240nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210217 shortname: aod340 longname: Total aerosol optical depth at 340 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210218 shortname: aod355 longname: Total aerosol optical depth at 355 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210219 shortname: aod380 longname: Total aerosol optical depth at 380 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210220 shortname: aod400 longname: Total aerosol optical depth at 400 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210221 shortname: aod440 longname: Total aerosol optical depth at 440 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210222 shortname: aod500 longname: Total aerosol optical depth at 500 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210223 shortname: aod532 longname: Total aerosol optical depth at 532 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210224 shortname: aod645 longname: Total aerosol optical depth at 645 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210225 shortname: aod800 longname: Total aerosol optical depth at 800 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210226 shortname: aod858 longname: Total aerosol optical depth at 858 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210227 shortname: aod1020 longname: Total aerosol optical depth at 1020 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210228 shortname: aod1064 longname: Total aerosol optical depth at 1064 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210229 shortname: aod1640 longname: Total aerosol optical depth at 1640 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210230 shortname: aod2130 longname: Total aerosol optical depth at 2130 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210231 shortname: c7h8fire longname: Wildfire Flux of Toluene (C7H8) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210232 shortname: c6h6fire longname: Wildfire Flux of Benzene (C6H6) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210233 shortname: c8h10fire longname: Wildfire Flux of Xylene (C8H10) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210234 shortname: c4h8fire longname: Wildfire Flux of Butenes (C4H8) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210235 shortname: c5h10fire longname: Wildfire Flux of Pentenes (C5H10) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210236 shortname: c6h12fire longname: Wildfire Flux of Hexene (C6H12) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210237 shortname: c8h16fire longname: Wildfire Flux of Octene (C8H16) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210238 shortname: c4h10fire longname: Wildfire Flux of Butanes (C4H10) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210239 shortname: c5h12fire longname: Wildfire Flux of Pentanes (C5H12) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210240 shortname: c6h14fire longname: Wildfire Flux of Hexanes (C6H14) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210241 shortname: c7h16fire longname: Wildfire Flux of Heptane (C7H16) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210242 shortname: apb longname: Plume bottom height above surface units: m description: Metres above surface access_ids: [] origin_ids: - 0 - 98 table: 210 mars_request_context: [] - id: 210243 shortname: vsuaod550 longname: Volcanic sulphate aerosol optical depth at 550 nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210244 shortname: vashaod550 longname: Volcanic ash optical depth at 550 nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210245 shortname: taedec550 longname: Profile of total aerosol dry extinction coefficient units: m**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210246 shortname: taedab550 longname: Profile of total aerosol dry absorption coefficient units: m**-1 description: null access_ids: [] origin_ids: - 98 table: 210 mars_request_context: [] - id: 210247 shortname: aermr16 longname: Nitrate fine mode aerosol mass mixing ratio units: kg kg**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210248 shortname: aermr17 longname: Nitrate coarse mode aerosol mass mixing ratio units: kg kg**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210249 shortname: aermr18 longname: Ammonium aerosol mass mixing ratio units: kg kg**-1 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210250 shortname: niaod550 longname: Nitrate aerosol optical depth at 550 nm units: dimensionless description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210251 shortname: amaod550 longname: Ammonium aerosol optical depth at 550 nm units: dimensionless description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 210 mars_request_context: - *id041 - *id040 - id: 210252 shortname: aermr19 longname: Biogenic secondary organic aerosol mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210253 shortname: aermr20 longname: Anthropogenic secondary organic aerosol mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 210 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 210260 shortname: alnid_p longname: Near IR albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 210261 shortname: alnip_p longname: Near IR albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 210262 shortname: alnipg_p longname: Near IR albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 210263 shortname: alnipi_p longname: Near IR albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 210264 shortname: alnipv_p longname: Near IR albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 210 mars_request_context: [] - id: 211001 shortname: aermr01diff longname: Sea Salt Aerosol (0.03 - 0.5 um) Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211002 shortname: aermr02diff longname: Sea Salt Aerosol (0.5 - 5 um) Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211003 shortname: aermr03diff longname: Sea Salt Aerosol (5 - 20 um) Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211004 shortname: aermr04diff longname: Dust Aerosol (0.03 - 0.55 um) Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211005 shortname: aermr05diff longname: Dust Aerosol (0.55 - 0.9 um) Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211006 shortname: aermr06diff longname: Dust Aerosol (0.9 - 20 um) Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211007 shortname: aermr07diff longname: Hydrophilic Organic Matter Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211008 shortname: aermr08diff longname: Hydrophobic Organic Matter Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211009 shortname: aermr09diff longname: Hydrophilic Black Carbon Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211010 shortname: aermr10diff longname: Hydrophobic Black Carbon Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211011 shortname: aermr11diff longname: Sulphate Aerosol Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211012 shortname: aermr12diff longname: Aerosol type 12 mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211013 shortname: aermr13diff longname: Aerosol type 13 mass mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211014 shortname: aermr14diff longname: Aerosol type 14 mass mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211015 shortname: aermr15diff longname: Aerosol type 15 mass mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211016 shortname: aergn01diff longname: Aerosol type 1 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211017 shortname: aergn02diff longname: Aerosol type 2 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211018 shortname: aergn03diff longname: Aerosol type 3 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211019 shortname: aergn04diff longname: Aerosol type 4 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211020 shortname: aergn05diff longname: Aerosol type 5 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211021 shortname: aergn06diff longname: Aerosol type 6 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211022 shortname: aergn07diff longname: Aerosol type 7 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211023 shortname: aergn08diff longname: Aerosol type 8 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211024 shortname: aergn09diff longname: Aerosol type 9 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211025 shortname: aergn10diff longname: Aerosol type 10 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211026 shortname: aergn11diff longname: Aerosol type 11 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211027 shortname: aergn12diff longname: Aerosol type 12 source/gain accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211028 shortname: aerpr03diff longname: SO4 aerosol precursor mass mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211029 shortname: aerwv01diff longname: Water vapour mixing ratio for hydrophilic aerosols in mode 1 units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211030 shortname: aerwv02diff longname: Water vapour mixing ratio for hydrophilic aerosols in mode 2 units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211031 shortname: aerls01diff longname: Aerosol type 1 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211032 shortname: aerls02diff longname: Aerosol type 2 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211033 shortname: aerls03diff longname: Aerosol type 3 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211034 shortname: aerls04diff longname: Aerosol type 4 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211035 shortname: aerls05diff longname: Aerosol type 5 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211036 shortname: aerls06diff longname: Aerosol type 6 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211037 shortname: aerls07diff longname: Aerosol type 7 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211038 shortname: aerls08diff longname: Aerosol type 8 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211039 shortname: aerls09diff longname: Aerosol type 9 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211040 shortname: aerls10diff longname: Aerosol type 10 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211041 shortname: aerls11diff longname: Aerosol type 11 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211042 shortname: aerls12diff longname: Aerosol type 12 sink/loss accumulated units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211043 shortname: emdmsdiff longname: DMS surface emission units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211044 shortname: aerwv03diff longname: Water vapour mixing ratio for hydrophilic aerosols in mode 3 units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211045 shortname: aerwv04diff longname: Water vapour mixing ratio for hydrophilic aerosols in mode 4 units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211046 shortname: aerprdiff longname: Aerosol precursor mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211047 shortname: aersmdiff longname: Aerosol small mode mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211048 shortname: aerlgdiff longname: Aerosol large mode mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211049 shortname: aodprdiff longname: Aerosol precursor optical depth units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211050 shortname: aodsmdiff longname: Aerosol small mode optical depth units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211051 shortname: aodlgdiff longname: Aerosol large mode optical depth units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211052 shortname: aerdepdiff longname: Dust emission potential units: kg s**2 m**-5 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211053 shortname: aerltsdiff longname: Lifting threshold speed units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211054 shortname: aersccdiff longname: Soil clay content units: '%' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211055 shortname: '~' longname: Experimental product units: '~' description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211056 shortname: '~' longname: Experimental product units: '~' description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211059 shortname: h2odiff longname: Water vapour (chemistry) difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211061 shortname: co2diff longname: Carbon Dioxide units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211062 shortname: ch4diff longname: Methane units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211063 shortname: n2odiff longname: Nitrous oxide units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211064 shortname: tcco2diff longname: Total column Carbon Dioxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211065 shortname: tcch4diff longname: Total column Methane units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211066 shortname: tcn2odiff longname: Total column Nitrous oxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211067 shortname: co2ofdiff longname: Ocean flux of Carbon Dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211068 shortname: co2nbfdiff longname: Natural biosphere flux of Carbon Dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211069 shortname: co2apfdiff longname: Anthropogenic emissions of Carbon Dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211070 shortname: ch4fdiff longname: Methane Surface Fluxes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211071 shortname: kch4diff longname: Methane loss rate due to radical hydroxyl (OH) units: s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211080 shortname: co2firediff longname: Wildfire flux of Carbon Dioxide units: kg m**-2 s**-1 description: Wildfire flux of Carbon Dioxide access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211081 shortname: cofirediff longname: Wildfire flux of Carbon Monoxide units: kg m**-2 s**-1 description: Wildfire flux of Carbon Monoxide access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211082 shortname: ch4firediff longname: Wildfire flux of Methane units: kg m**-2 s**-1 description: Wildfire flux of Methane access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211083 shortname: nmhcfirediff longname: Wildfire flux of Non-Methane Hydro-Carbons units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211084 shortname: h2firediff longname: Wildfire flux of Hydrogen units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211085 shortname: noxfirediff longname: Wildfire flux of Nitrogen Oxides NOx units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211086 shortname: n2ofirediff longname: Wildfire flux of Nitrous Oxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211087 shortname: pm2p5firediff longname: Wildfire flux of Particulate Matter PM2.5 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211088 shortname: tpmfirediff longname: Wildfire flux of Total Particulate Matter units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211089 shortname: tcfirediff longname: Wildfire flux of Total Carbon in Aerosols units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211090 shortname: ocfirediff longname: Wildfire flux of Organic Carbon units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211091 shortname: bcfirediff longname: Wildfire flux of Black Carbon units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211092 shortname: cfirediff longname: Wildfire overall flux of burnt Carbon units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211093 shortname: c4ffirediff longname: Wildfire fraction of C4 plants units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211094 shortname: vegfirediff longname: Wildfire vegetation map index units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211095 shortname: ccfirediff longname: Wildfire Combustion Completeness units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211096 shortname: flfirediff longname: 'Wildfire Fuel Load: Carbon per unit area' units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211097 shortname: offirediff longname: Wildfire fraction of area observed units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211098 shortname: oafirediff longname: Wildfire observed area units: m**2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211099 shortname: frpfirediff longname: Wildfire radiative power units: W m**-2 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211100 shortname: crfirediff longname: Wildfire combustion rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211101 shortname: maxfrpfirediff longname: Wildfire radiative power maximum units: W description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211102 shortname: so2firediff longname: Wildfire flux of Sulfur Dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211103 shortname: ch3ohfirediff longname: Wildfire Flux of Methanol (CH3OH) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211104 shortname: c2h5ohfirediff longname: Wildfire Flux of Ethanol (C2H5OH) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211105 shortname: c3h8firediff longname: Wildfire Flux of Propane (C3H8) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211106 shortname: c2h4firediff longname: Wildfire Flux of Ethene (C2H4) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211107 shortname: c3h6firediff longname: Wildfire Flux of Propene (C3H6) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211108 shortname: c5h8firediff longname: Wildfire Flux of Isoprene (C5H8) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211109 shortname: terpenesfirediff longname: Wildfire Flux of Terpenes (C5H8)n units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211110 shortname: toluenefirediff longname: Wildfire Flux of Toluene_lump (C7H8+ C6H6 + C8H10) units: kg m**-2 s**-1 description: 'CAVE: MOZART lumped toluene species, incorporating benzene, toluene, xylene' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211111 shortname: hialkenesfirediff longname: Wildfire Flux of Higher Alkenes (CnH2n, C>=4) units: kg m**-2 s**-1 description: 'Derived from summed emission factors of all alkenes (C>=4) specified in Andreae and Merlet (2001) which are not contained in the Toluene_lump group. These are: Butenes (1-butene + i-butene + tr-2-butene + cis-2-butene) (C4H8), Pentenes (1-pentene + 2-pentene) (C5H10), Hexene (C6H12), Octene (C8H16)' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211112 shortname: hialkanesfirediff longname: Wildfire Flux of Higher Alkanes (CnH2n+2, C>=4) units: kg m**-2 s**-1 description: 'Derived from summed emission factors of all alkanes (C>=4) specified in Andreae and Merlet (2001). These are: Butanes (n-butane + i-butane) (C4H10), Pentanes (n-pentane + i-pentane) (C5H12), Hexane (n-hexane + i-hexane) (C6H14), Heptane (C7H16)' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211113 shortname: ch2ofirediff longname: Wildfire Flux of Formaldehyde (CH2O) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211114 shortname: c2h4ofirediff longname: Wildfire Flux of Acetaldehyde (C2H4O) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211115 shortname: c3h6ofirediff longname: Wildfire Flux of Acetone (C3H6O) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211116 shortname: nh3firediff longname: Wildfire Flux of Ammonia (NH3) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211117 shortname: c2h6sfirediff longname: Wildfire Flux of Dimethyl Sulfide (DMS) (C2H6S) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211118 shortname: c2h6firediff longname: Wildfire Flux of Ethane (C2H6) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211119 shortname: alediff longname: Altitude of emitter units: m description: Metres above sea level access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211120 shortname: aptdiff longname: Altitude of plume top units: m description: Metres above sea level access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211121 shortname: no2diff longname: Nitrogen dioxide mass mixing ratio difference units: kg kg**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 211 mars_request_context: [] - id: 211122 shortname: so2diff longname: Sulphur dioxide mass mixing ratio difference units: kg kg**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 211 mars_request_context: [] - id: 211123 shortname: codiff longname: Carbon monoxide mass mixing ratio difference units: kg kg**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 211 mars_request_context: [] - id: 211124 shortname: hchodiff longname: Formaldehyde units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211125 shortname: tcno2diff longname: Total column Nitrogen dioxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211126 shortname: tcso2diff longname: Total column Sulphur dioxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211127 shortname: tccodiff longname: Total column Carbon monoxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211128 shortname: tchchodiff longname: Total column Formaldehyde units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211129 shortname: noxdiff longname: Nitrogen Oxides units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211130 shortname: tcnoxdiff longname: Total Column Nitrogen Oxides units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211131 shortname: grg1diff longname: Reactive tracer 1 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211132 shortname: tcgrg1diff longname: Total column GRG tracer 1 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211133 shortname: grg2diff longname: Reactive tracer 2 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211134 shortname: tcgrg2diff longname: Total column GRG tracer 2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211135 shortname: grg3diff longname: Reactive tracer 3 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211136 shortname: tcgrg3diff longname: Total column GRG tracer 3 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211137 shortname: grg4diff longname: Reactive tracer 4 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211138 shortname: tcgrg4diff longname: Total column GRG tracer 4 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211139 shortname: grg5diff longname: Reactive tracer 5 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211140 shortname: tcgrg5diff longname: Total column GRG tracer 5 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211141 shortname: grg6diff longname: Reactive tracer 6 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211142 shortname: tcgrg6diff longname: Total column GRG tracer 6 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211143 shortname: grg7diff longname: Reactive tracer 7 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211144 shortname: tcgrg7diff longname: Total column GRG tracer 7 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211145 shortname: grg8diff longname: Reactive tracer 8 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211146 shortname: tcgrg8diff longname: Total column GRG tracer 8 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211147 shortname: grg9diff longname: Reactive tracer 9 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211148 shortname: tcgrg9diff longname: Total column GRG tracer 9 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211149 shortname: grg10diff longname: Reactive tracer 10 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211150 shortname: tcgrg10diff longname: Total column GRG tracer 10 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211151 shortname: sfnoxdiff longname: Surface flux Nitrogen oxides units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211152 shortname: sfno2diff longname: Surface flux Nitrogen dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211153 shortname: sfso2diff longname: Surface flux Sulphur dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211154 shortname: sfco2diff longname: Surface flux Carbon monoxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211155 shortname: sfhchodiff longname: Surface flux Formaldehyde units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211156 shortname: sfgo3diff longname: Surface flux GEMS Ozone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211157 shortname: sfgr1diff longname: Surface flux reactive tracer 1 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211158 shortname: sfgr2diff longname: Surface flux reactive tracer 2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211159 shortname: sfgr3diff longname: Surface flux reactive tracer 3 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211160 shortname: sfgr4diff longname: Surface flux reactive tracer 4 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211161 shortname: sfgr5diff longname: Surface flux reactive tracer 5 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211162 shortname: sfgr6diff longname: Surface flux reactive tracer 6 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211163 shortname: sfgr7diff longname: Surface flux reactive tracer 7 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211164 shortname: sfgr8diff longname: Surface flux reactive tracer 8 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211165 shortname: sfgr9diff longname: Surface flux reactive tracer 9 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211166 shortname: sfgr10diff longname: Surface flux reactive tracer 10 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211170 shortname: VSO2diff longname: Volcanic sulfur dioxide mass mixing ratio increment units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 211 mars_request_context: [] - id: 211181 shortname: radiff longname: Radon units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211182 shortname: sf6diff longname: Sulphur Hexafluoride units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211183 shortname: tcradiff longname: Total column Radon units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211184 shortname: tcsf6diff longname: Total column Sulphur Hexafluoride units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211185 shortname: sf6apfdiff longname: Anthropogenic Emissions of Sulphur Hexafluoride units: kg m**-2 s**-1 description: Anthropogenic Emissions of Sulphur Hexafluoride access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211203 shortname: go3diff longname: Ozone mass mixing ratio difference (full chemistry scheme) units: kg kg**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 211 mars_request_context: [] - id: 211206 shortname: gtco3diff longname: GEMS Total column ozone units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211207 shortname: aod550diff longname: Total Aerosol Optical Depth at 550nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211208 shortname: ssaod550diff longname: Sea Salt Aerosol Optical Depth at 550nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211209 shortname: duaod550diff longname: Dust Aerosol Optical Depth at 550nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211210 shortname: omaod550diff longname: Organic Matter Aerosol Optical Depth at 550nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211211 shortname: bcaod550diff longname: Black Carbon Aerosol Optical Depth at 550nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211212 shortname: suaod550diff longname: Sulphate Aerosol Optical Depth at 550nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211213 shortname: aod469diff longname: Total Aerosol Optical Depth at 469nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211214 shortname: aod670diff longname: Total Aerosol Optical Depth at 670nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211215 shortname: aod865diff longname: Total Aerosol Optical Depth at 865nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211216 shortname: aod1240diff longname: Total Aerosol Optical Depth at 1240nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211247 shortname: aermr16diff longname: Nitrate fine mode aerosol mass mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211248 shortname: aermr17diff longname: Nitrate coarse mode aerosol mass mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 98 table: 211 mars_request_context: [] - id: 211249 shortname: aermr18diff longname: Ammonium aerosol mass mixing ratio units: kg kg**-1 description: '' access_ids: [] origin_ids: - 0 table: 211 mars_request_context: [] - id: 211252 shortname: aermr19diff longname: Biogenic secondary organic aerosol mass mixing ratio increment units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 211 mars_request_context: [] - id: 211253 shortname: aermr20diff longname: Anthropogenic secondary organic aerosol mass mixing ratio increment units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 211 mars_request_context: [] - id: 212001 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212002 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212003 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212004 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212005 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212006 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212007 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212008 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212009 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212010 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212011 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212012 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212013 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212014 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212015 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212016 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212017 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212018 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212019 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212020 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212021 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212022 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212023 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212024 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212025 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212026 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212027 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212028 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212029 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212030 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212031 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212032 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212033 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212034 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212035 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212036 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212037 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212038 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212039 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212040 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212041 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212042 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212043 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212044 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212045 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212046 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212047 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212048 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212049 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212050 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212051 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212052 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212053 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212054 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212055 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212056 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212057 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212058 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212059 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212060 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212061 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212062 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212063 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212064 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212065 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212066 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212067 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212068 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212069 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212070 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212071 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212072 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212073 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212074 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212075 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212076 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212077 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212078 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212079 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212080 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212081 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212082 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212083 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212084 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212085 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212086 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212087 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212088 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212089 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212090 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212091 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212092 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212093 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212094 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212095 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212096 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212097 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212098 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212099 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212100 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212101 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212102 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212103 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212104 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212105 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212106 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212107 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212108 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212109 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212110 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212111 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212112 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212113 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212114 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212115 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212116 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212117 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212118 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212119 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212120 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212121 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212122 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212123 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212124 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212125 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212126 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212127 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212128 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212129 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212130 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212131 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212132 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212133 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212134 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212135 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212136 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212137 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212138 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212139 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212140 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212141 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212142 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212143 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212144 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212145 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212146 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212147 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212148 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212149 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212150 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212151 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212152 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212153 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212154 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212155 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212156 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212157 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212158 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212159 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212160 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212161 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212162 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212163 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212164 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212165 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212166 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212167 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212168 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212169 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212170 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212171 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212172 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212173 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212174 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212175 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212176 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212177 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212178 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212179 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212180 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212181 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212182 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212183 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212184 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212185 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212186 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212187 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212188 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212189 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212190 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212191 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212192 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212193 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212194 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212195 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212196 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212197 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212198 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212199 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212200 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212201 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212202 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212203 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212204 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212205 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212206 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212207 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212208 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212209 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212210 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212211 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212212 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212213 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212214 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212215 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212216 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212217 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212218 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212219 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212220 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212221 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212222 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212223 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212224 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212225 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212226 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212227 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212228 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212229 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212230 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212231 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212232 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212233 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212234 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212235 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212236 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212237 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212238 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212239 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212240 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212241 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212242 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212243 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212244 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212245 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212246 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212247 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212248 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212249 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212250 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212251 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212252 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212253 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212254 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 212255 shortname: '~' longname: Experimental product units: '~' description: null access_ids: [] origin_ids: - 98 table: 212 mars_request_context: [] - id: 213001 shortname: sppt1 longname: Random pattern 1 for sppt units: dimensionless description: Pattern 1 for stochastically perturbed parametrization tendency scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - -80 - 98 table: 213 mars_request_context: [] - id: 213002 shortname: sppt2 longname: Random pattern 2 for sppt units: dimensionless description: Pattern 2 for stochastically perturbed parametrization tendency scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - -80 - 98 table: 213 mars_request_context: [] - id: 213003 shortname: sppt3 longname: Random pattern 3 for sppt units: dimensionless description: Pattern 3 for stochastically perturbed parametrization tendency scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - -80 - 98 table: 213 mars_request_context: [] - id: 213004 shortname: sppt4 longname: Random pattern 4 for sppt units: dimensionless description: Pattern 4 for stochastically perturbed parametrization tendency scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 98 table: 213 mars_request_context: [] - id: 213005 shortname: sppt5 longname: Random pattern 5 for sppt units: dimensionless description: Pattern 5 for stochastically perturbed parametrization tendency scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 98 table: 213 mars_request_context: [] - id: 213101 shortname: spp1 longname: Random pattern 1 for SPP scheme units: dimensionless description: Pattern 1 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - &id240 class: od stream: elda type: an levtype: al - &id241 class: od stream: elda type: fc levtype: al - id: 213102 shortname: spp2 longname: Random pattern 2 for SPP scheme units: dimensionless description: Pattern 2 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213103 shortname: spp3 longname: Random pattern 3 for SPP scheme units: dimensionless description: Pattern 3 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213104 shortname: spp4 longname: Random pattern 4 for SPP scheme units: dimensionless description: Pattern 4 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213105 shortname: spp5 longname: Random pattern 5 for SPP scheme units: dimensionless description: Pattern 5 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213106 shortname: spp6 longname: Random pattern 6 for SPP scheme units: dimensionless description: Pattern 6 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213107 shortname: spp7 longname: Random pattern 7 for SPP scheme units: dimensionless description: Pattern 7 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213108 shortname: spp8 longname: Random pattern 8 for SPP scheme units: dimensionless description: Pattern 8 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213109 shortname: spp9 longname: Random pattern 9 for SPP scheme units: dimensionless description: Pattern 9 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213110 shortname: spp10 longname: Random pattern 10 for SPP scheme units: dimensionless description: Pattern 10 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213111 shortname: spp11 longname: Random pattern 11 for SPP scheme units: dimensionless description: Pattern 11 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213112 shortname: spp12 longname: Random pattern 12 for SPP scheme units: dimensionless description: Pattern 12 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213113 shortname: spp13 longname: Random pattern 13 for SPP scheme units: dimensionless description: Pattern 13 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213114 shortname: spp14 longname: Random pattern 14 for SPP scheme units: dimensionless description: Pattern 14 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213115 shortname: spp15 longname: Random pattern 15 for SPP scheme units: dimensionless description: Pattern 15 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213116 shortname: spp16 longname: Random pattern 16 for SPP scheme units: dimensionless description: Pattern 16 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213117 shortname: spp17 longname: Random pattern 17 for SPP scheme units: dimensionless description: Pattern 17 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213118 shortname: spp18 longname: Random pattern 18 for SPP scheme units: dimensionless description: Pattern 18 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213119 shortname: spp19 longname: Random pattern 19 for SPP scheme units: dimensionless description: Pattern 19 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213120 shortname: spp20 longname: Random pattern 20 for SPP scheme units: dimensionless description: Pattern 20 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213121 shortname: spp21 longname: Random pattern 21 for SPP scheme units: dimensionless description: Pattern 21 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213122 shortname: spp22 longname: Random pattern 22 for SPP scheme units: dimensionless description: Pattern 22 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213123 shortname: spp23 longname: Random pattern 23 for SPP scheme units: dimensionless description: Pattern 23 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213124 shortname: spp24 longname: Random pattern 24 for SPP scheme units: dimensionless description: Pattern 24 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213125 shortname: spp25 longname: Random pattern 25 for SPP scheme units: dimensionless description: Pattern 25 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213126 shortname: spp26 longname: Random pattern 26 for SPP scheme units: dimensionless description: Pattern 26 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213127 shortname: spp27 longname: Random pattern 27 for SPP scheme units: dimensionless description: Pattern 27 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213128 shortname: spp28 longname: Random pattern 28 for SPP scheme units: dimensionless description: Pattern 28 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213129 shortname: spp29 longname: Random pattern 29 for SPP scheme units: dimensionless description: Pattern 29 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213130 shortname: spp30 longname: Random pattern 30 for SPP scheme units: dimensionless description: Pattern 30 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213131 shortname: spp31 longname: Random pattern 31 for SPP scheme units: dimensionless description: Pattern 31 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213132 shortname: spp32 longname: Random pattern 32 for SPP scheme units: dimensionless description: Pattern 32 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213133 shortname: spp33 longname: Random pattern 33 for SPP scheme units: dimensionless description: Pattern 33 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213134 shortname: spp34 longname: Random pattern 34 for SPP scheme units: dimensionless description: Pattern 34 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213135 shortname: spp35 longname: Random pattern 35 for SPP scheme units: dimensionless description: Pattern 35 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213136 shortname: spp36 longname: Random pattern 36 for SPP scheme units: dimensionless description: Pattern 36 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213137 shortname: spp37 longname: Random pattern 37 for SPP scheme units: dimensionless description: Pattern 37 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213138 shortname: spp38 longname: Random pattern 38 for SPP scheme units: dimensionless description: Pattern 38 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213139 shortname: spp39 longname: Random pattern 39 for SPP scheme units: dimensionless description: Pattern 39 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213140 shortname: spp40 longname: Random pattern 40 for SPP scheme units: dimensionless description: Pattern 40 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213141 shortname: spp41 longname: Random pattern 41 for SPP scheme units: dimensionless description: Pattern 41 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213142 shortname: spp42 longname: Random pattern 42 for SPP scheme units: dimensionless description: Pattern 42 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213143 shortname: spp43 longname: Random pattern 43 for SPP scheme units: dimensionless description: Pattern 43 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213144 shortname: spp44 longname: Random pattern 44 for SPP scheme units: dimensionless description: Pattern 44 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213145 shortname: spp45 longname: Random pattern 45 for SPP scheme units: dimensionless description: Pattern 45 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213146 shortname: spp46 longname: Random pattern 46 for SPP scheme units: dimensionless description: Pattern 46 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213147 shortname: spp47 longname: Random pattern 47 for SPP scheme units: dimensionless description: Pattern 47 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213148 shortname: spp48 longname: Random pattern 48 for SPP scheme units: dimensionless description: Pattern 48 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213149 shortname: spp49 longname: Random pattern 49 for SPP scheme units: dimensionless description: Pattern 49 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213150 shortname: spp50 longname: Random pattern 50 for SPP scheme units: dimensionless description: Pattern 50 for Stochastically Perturbed Parametrisation (SPP) scheme.

These fields are for internal use by ECMWF and will not be disseminated.
The SPP fields as well as the SPPT fields are required by the perturbed ensemble members to propagate information about the state of the model uncertainty scheme from one model integration to another. access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213151 shortname: spp51 longname: Random pattern 51 for SPP scheme units: dimensionless description: "Pattern 51 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213152 shortname: spp52 longname: Random pattern 52 for SPP scheme units: dimensionless description: "Pattern 52 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213153 shortname: spp53 longname: Random pattern 53 for SPP scheme units: dimensionless description: "Pattern 53 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213154 shortname: spp54 longname: Random pattern 54 for SPP scheme units: dimensionless description: "Pattern 54 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213155 shortname: spp55 longname: Random pattern 55 for SPP scheme units: dimensionless description: "Pattern 55 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213156 shortname: spp56 longname: Random pattern 56 for SPP scheme units: dimensionless description: "Pattern 56 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213157 shortname: spp57 longname: Random pattern 57 for SPP scheme units: dimensionless description: "Pattern 57 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213158 shortname: spp58 longname: Random pattern 58 for SPP scheme units: dimensionless description: "Pattern 58 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213159 shortname: spp59 longname: Random pattern 59 for SPP scheme units: dimensionless description: "Pattern 59 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213160 shortname: spp60 longname: Random pattern 60 for SPP scheme units: dimensionless description: "Pattern 60 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: - *id240 - *id241 - id: 213161 shortname: spp61 longname: Random pattern 61 for SPP scheme units: dimensionless description: "Pattern 61 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213162 shortname: spp62 longname: Random pattern 62 for SPP scheme units: dimensionless description: "Pattern 62 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213163 shortname: spp63 longname: Random pattern 63 for SPP scheme units: dimensionless description: "Pattern 63 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213164 shortname: spp64 longname: Random pattern 64 for SPP scheme units: dimensionless description: "Pattern 64 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213165 shortname: spp65 longname: Random pattern 65 for SPP scheme units: dimensionless description: "Pattern 65 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213166 shortname: spp66 longname: Random pattern 66 for SPP scheme units: dimensionless description: "Pattern 66 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213167 shortname: spp67 longname: Random pattern 67 for SPP scheme units: dimensionless description: "Pattern 67 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213168 shortname: spp68 longname: Random pattern 68 for SPP scheme units: dimensionless description: "Pattern 68 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213169 shortname: spp69 longname: Random pattern 69 for SPP scheme units: dimensionless description: "Pattern 69 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213170 shortname: spp70 longname: Random pattern 70 for SPP scheme units: dimensionless description: "Pattern 70 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213171 shortname: spp71 longname: Random pattern 71 for SPP scheme units: dimensionless description: "Pattern 71 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213172 shortname: spp72 longname: Random pattern 72 for SPP scheme units: dimensionless description: "Pattern 72 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213173 shortname: spp73 longname: Random pattern 73 for SPP scheme units: dimensionless description: "Pattern 73 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213174 shortname: spp74 longname: Random pattern 74 for SPP scheme units: dimensionless description: "Pattern 74 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213175 shortname: spp75 longname: Random pattern 75 for SPP scheme units: dimensionless description: "Pattern 75 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213176 shortname: spp76 longname: Random pattern 76 for SPP scheme units: dimensionless description: "Pattern 76 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213177 shortname: spp77 longname: Random pattern 77 for SPP scheme units: dimensionless description: "Pattern 77 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213178 shortname: spp78 longname: Random pattern 78 for SPP scheme units: dimensionless description: "Pattern 78 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213179 shortname: spp79 longname: Random pattern 79 for SPP scheme units: dimensionless description: "Pattern 79 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213180 shortname: spp80 longname: Random pattern 80 for SPP scheme units: dimensionless description: "Pattern 80 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213181 shortname: spp81 longname: Random pattern 81 for SPP scheme units: dimensionless description: "Pattern 81 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213182 shortname: spp82 longname: Random pattern 82 for SPP scheme units: dimensionless description: "Pattern 82 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213183 shortname: spp83 longname: Random pattern 83 for SPP scheme units: dimensionless description: "Pattern 83 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213184 shortname: spp84 longname: Random pattern 84 for SPP scheme units: dimensionless description: "Pattern 84 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213185 shortname: spp85 longname: Random pattern 85 for SPP scheme units: dimensionless description: "Pattern 85 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213186 shortname: spp86 longname: Random pattern 86 for SPP scheme units: dimensionless description: "Pattern 86 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213187 shortname: spp87 longname: Random pattern 87 for SPP scheme units: dimensionless description: "Pattern 87 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213188 shortname: spp88 longname: Random pattern 88 for SPP scheme units: dimensionless description: "Pattern 88 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213189 shortname: spp89 longname: Random pattern 89 for SPP scheme units: dimensionless description: "Pattern 89 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213190 shortname: spp90 longname: Random pattern 90 for SPP scheme units: dimensionless description: "Pattern 90 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213191 shortname: spp91 longname: Random pattern 91 for SPP scheme units: dimensionless description: "Pattern 91 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213192 shortname: spp92 longname: Random pattern 92 for SPP scheme units: dimensionless description: "Pattern 92 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213193 shortname: spp93 longname: Random pattern 93 for SPP scheme units: dimensionless description: "Pattern 93 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213194 shortname: spp94 longname: Random pattern 94 for SPP scheme units: dimensionless description: "Pattern 94 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213195 shortname: spp95 longname: Random pattern 95 for SPP scheme units: dimensionless description: "Pattern 95 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213196 shortname: spp96 longname: Random pattern 96 for SPP scheme units: dimensionless description: "Pattern 96 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213197 shortname: spp97 longname: Random pattern 97 for SPP scheme units: dimensionless description: "Pattern 97 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213198 shortname: spp98 longname: Random pattern 98 for SPP scheme units: dimensionless description: "Pattern 98 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213199 shortname: spp99 longname: Random pattern 99 for SPP scheme units: dimensionless description: "Pattern 99 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213200 shortname: spp100 longname: Random pattern 100 for SPP scheme units: dimensionless description: "Pattern 100 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213201 shortname: spp101 longname: Random pattern 101 for SPP scheme units: dimensionless description: "Pattern 101 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213202 shortname: spp102 longname: Random pattern 102 for SPP scheme units: dimensionless description: "Pattern 102 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213203 shortname: spp103 longname: Random pattern 103 for SPP scheme units: dimensionless description: "Pattern 103 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213204 shortname: spp104 longname: Random pattern 104 for SPP scheme units: dimensionless description: "Pattern 104 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213205 shortname: spp105 longname: Random pattern 105 for SPP scheme units: dimensionless description: "Pattern 105 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213206 shortname: spp106 longname: Random pattern 106 for SPP scheme units: dimensionless description: "Pattern 106 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213207 shortname: spp107 longname: Random pattern 107 for SPP scheme units: dimensionless description: "Pattern 107 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213208 shortname: spp108 longname: Random pattern 108 for SPP scheme units: dimensionless description: "Pattern 108 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213209 shortname: spp109 longname: Random pattern 109 for SPP scheme units: dimensionless description: "Pattern 109 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213210 shortname: spp110 longname: Random pattern 110 for SPP scheme units: dimensionless description: "Pattern 110 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213211 shortname: spp111 longname: Random pattern 111 for SPP scheme units: dimensionless description: "Pattern 111 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213212 shortname: spp112 longname: Random pattern 112 for SPP scheme units: dimensionless description: "Pattern 112 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213213 shortname: spp113 longname: Random pattern 113 for SPP scheme units: dimensionless description: "Pattern 113 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213214 shortname: spp114 longname: Random pattern 114 for SPP scheme units: dimensionless description: "Pattern 114 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213215 shortname: spp115 longname: Random pattern 115 for SPP scheme units: dimensionless description: "Pattern 115 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213216 shortname: spp116 longname: Random pattern 116 for SPP scheme units: dimensionless description: "Pattern 116 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213217 shortname: spp117 longname: Random pattern 117 for SPP scheme units: dimensionless description: "Pattern 117 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213218 shortname: spp118 longname: Random pattern 118 for SPP scheme units: dimensionless description: "Pattern 118 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213219 shortname: spp119 longname: Random pattern 119 for SPP scheme units: dimensionless description: "Pattern 119 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213220 shortname: spp120 longname: Random pattern 120 for SPP scheme units: dimensionless description: "Pattern 120 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 213221 shortname: spp121 longname: Random pattern 121 for SPP scheme units: dimensionless description: "Pattern 121 for Stochastically Perturbed Parametrisation (SPP) scheme.\r\ \n\r\nThese fields are for internal use by ECMWF and will not be disseminated.\r\ \nThe SPP fields as well as the SPPT fields are required by the perturbed ensemble\ \ members to propagate information about the state of the model uncertainty scheme\ \ from one model integration to another" access_ids: [] origin_ids: - 0 - 98 table: 213 mars_request_context: [] - id: 214001 shortname: cossza longname: Cosine of solar zenith angle units: Numeric description: null access_ids: [] origin_ids: - 0 - 98 table: 214 mars_request_context: [] - id: 214002 shortname: uvbed longname: UV biologically effective dose units: '~' description: null access_ids: - dissemination origin_ids: - 0 - 98 table: 214 mars_request_context: - *id041 - *id040 - id: 214003 shortname: uvbedcs longname: UV biologically effective dose clear-sky units: '~' description: null access_ids: - dissemination origin_ids: - 0 - 98 table: 214 mars_request_context: - *id041 - *id040 - id: 214004 shortname: uvsflxt280285 longname: Total surface UV spectral flux (280-285 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214005 shortname: uvsflxt285290 longname: Total surface UV spectral flux (285-290 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214006 shortname: uvsflxt290295 longname: Total surface UV spectral flux (290-295 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214007 shortname: uvsflxt295300 longname: Total surface UV spectral flux (295-300 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214008 shortname: uvsflxt300305 longname: Total surface UV spectral flux (300-305 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214009 shortname: uvsflxt305310 longname: Total surface UV spectral flux (305-310 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214010 shortname: uvsflxt310315 longname: Total surface UV spectral flux (310-315 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214011 shortname: uvsflxt315320 longname: Total surface UV spectral flux (315-320 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214012 shortname: uvsflxt320325 longname: Total surface UV spectral flux (320-325 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214013 shortname: uvsflxt325330 longname: Total surface UV spectral flux (325-330 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214014 shortname: uvsflxt330335 longname: Total surface UV spectral flux (330-335 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214015 shortname: uvsflxt335340 longname: Total surface UV spectral flux (335-340 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214016 shortname: uvsflxt340345 longname: Total surface UV spectral flux (340-345 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214017 shortname: uvsflxt345350 longname: Total surface UV spectral flux (345-350 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214018 shortname: uvsflxt350355 longname: Total surface UV spectral flux (350-355 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214019 shortname: uvsflxt355360 longname: Total surface UV spectral flux (355-360 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214020 shortname: uvsflxt360365 longname: Total surface UV spectral flux (360-365 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214021 shortname: uvsflxt365370 longname: Total surface UV spectral flux (365-370 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214022 shortname: uvsflxt370375 longname: Total surface UV spectral flux (370-375 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214023 shortname: uvsflxt375380 longname: Total surface UV spectral flux (375-380 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214024 shortname: uvsflxt380385 longname: Total surface UV spectral flux (380-385 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214025 shortname: uvsflxt385390 longname: Total surface UV spectral flux (385-390 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214026 shortname: uvsflxt390395 longname: Total surface UV spectral flux (390-395 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214027 shortname: uvsflxt395400 longname: Total surface UV spectral flux (395-400 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214028 shortname: uvsflxcs280285 longname: Clear-sky surface UV spectral flux (280-285 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214029 shortname: uvsflxcs285290 longname: Clear-sky surface UV spectral flux (285-290 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214030 shortname: uvsflxcs290295 longname: Clear-sky surface UV spectral flux (290-295 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214031 shortname: uvsflxcs295300 longname: Clear-sky surface UV spectral flux (295-300 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214032 shortname: uvsflxcs300305 longname: Clear-sky surface UV spectral flux (300-305 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214033 shortname: uvsflxcs305310 longname: Clear-sky surface UV spectral flux (305-310 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214034 shortname: uvsflxcs310315 longname: Clear-sky surface UV spectral flux (310-315 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214035 shortname: uvsflxcs315320 longname: Clear-sky surface UV spectral flux (315-320 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214036 shortname: uvsflxcs320325 longname: Clear-sky surface UV spectral flux (320-325 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214037 shortname: uvsflxcs325330 longname: Clear-sky surface UV spectral flux (325-330 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214038 shortname: uvsflxcs330335 longname: Clear-sky surface UV spectral flux (330-335 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214039 shortname: uvsflxcs335340 longname: Clear-sky surface UV spectral flux (335-340 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214040 shortname: uvsflxcs340345 longname: Clear-sky surface UV spectral flux (340-345 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214041 shortname: uvsflxcs345350 longname: Clear-sky surface UV spectral flux (345-350 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214042 shortname: uvsflxcs350355 longname: Clear-sky surface UV spectral flux (350-355 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214043 shortname: uvsflxcs355360 longname: Clear-sky surface UV spectral flux (355-360 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214044 shortname: uvsflxcs360365 longname: Clear-sky surface UV spectral flux (360-365 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214045 shortname: uvsflxcs365370 longname: Clear-sky surface UV spectral flux (365-370 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214046 shortname: uvsflxcs370375 longname: Clear-sky surface UV spectral flux (370-375 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214047 shortname: uvsflxcs375380 longname: Clear-sky surface UV spectral flux (375-380 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214048 shortname: uvsflxcs380385 longname: Clear-sky surface UV spectral flux (380-385 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214049 shortname: uvsflxcs385390 longname: Clear-sky surface UV spectral flux (385-390 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214050 shortname: uvsflxcs390395 longname: Clear-sky surface UV spectral flux (390-395 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214051 shortname: uvsflxcs395400 longname: Clear-sky surface UV spectral flux (395-400 nm) units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 214052 shortname: aot340 longname: Profile of optical thickness at 340 nm units: '~' description: null access_ids: [] origin_ids: - 98 table: 214 mars_request_context: [] - id: 215001 shortname: aersrcsss longname: Source/gain of sea salt aerosol (0.03 - 0.5 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215002 shortname: aersrcssm longname: Source/gain of sea salt aerosol (0.5 - 5 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215003 shortname: aersrcssl longname: Source/gain of sea salt aerosol (5 - 20 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215004 shortname: aerddpsss longname: Dry deposition of sea salt aerosol (0.03 - 0.5 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215005 shortname: aerddpssm longname: Dry deposition of sea salt aerosol (0.5 - 5 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215006 shortname: aerddpssl longname: Dry deposition of sea salt aerosol (5 - 20 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215007 shortname: aersdmsss longname: Sedimentation of sea salt aerosol (0.03 - 0.5 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215008 shortname: aersdmssm longname: Sedimentation of sea salt aerosol (0.5 - 5 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215009 shortname: aersdmssl longname: Sedimentation of sea salt aerosol (5 - 20 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215010 shortname: aerwdlssss longname: Wet deposition of sea salt aerosol (0.03 - 0.5 um) by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215011 shortname: aerwdlsssm longname: Wet deposition of sea salt aerosol (0.5 - 5 um) by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215012 shortname: aerwdlsssl longname: Wet deposition of sea salt aerosol (5 - 20 um) by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215013 shortname: aerwdccsss longname: Wet deposition of sea salt aerosol (0.03 - 0.5 um) by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215014 shortname: aerwdccssm longname: Wet deposition of sea salt aerosol (0.5 - 5 um) by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215015 shortname: aerwdccssl longname: Wet deposition of sea salt aerosol (5 - 20 um) by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215016 shortname: aerngtsss longname: Negative fixer of sea salt aerosol (0.03 - 0.5 um) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215017 shortname: aerngtssm longname: Negative fixer of sea salt aerosol (0.5 - 5 um) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215018 shortname: aerngtssl longname: Negative fixer of sea salt aerosol (5 - 20 um) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215019 shortname: aermsssss longname: Vertically integrated mass of sea salt aerosol (0.03 - 0.5 um) units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215020 shortname: aermssssm longname: Vertically integrated mass of sea salt aerosol (0.5 - 5 um) units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215021 shortname: aermssssl longname: Vertically integrated mass of sea salt aerosol (5 - 20 um) units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215022 shortname: aerodsss longname: Sea salt aerosol (0.03 - 0.5 um) optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215023 shortname: aerodssm longname: Sea salt aerosol (0.5 - 5 um) optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215024 shortname: aerodssl longname: Sea salt aerosol (5 - 20 um) optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215025 shortname: aersrcdus longname: Source/gain of dust aerosol (0.03 - 0.55 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215026 shortname: aersrcdum longname: Source/gain of dust aerosol (0.55 - 0.9 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215027 shortname: aersrcdul longname: Source/gain of dust aerosol (0.9 - 20 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215028 shortname: aerddpdus longname: Dry deposition of dust aerosol (0.03 - 0.55 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215029 shortname: aerddpdum longname: Dry deposition of dust aerosol (0.55 - 0.9 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215030 shortname: aerddpdul longname: Dry deposition of dust aerosol (0.9 - 20 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215031 shortname: aersdmdus longname: Sedimentation of dust aerosol (0.03 - 0.55 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215032 shortname: aersdmdum longname: Sedimentation of dust aerosol (0.55 - 0.9 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215033 shortname: aersdmdul longname: Sedimentation of dust aerosol (0.9 - 20 um) units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215034 shortname: aerwdlsdus longname: Wet deposition of dust aerosol (0.03 - 0.55 um) by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215035 shortname: aerwdlsdum longname: Wet deposition of dust aerosol (0.55 - 0.9 um) by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215036 shortname: aerwdlsdul longname: Wet deposition of dust aerosol (0.9 - 20 um) by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215037 shortname: aerwdccdus longname: Wet deposition of dust aerosol (0.03 - 0.55 um) by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215038 shortname: aerwdccdum longname: Wet deposition of dust aerosol (0.55 - 0.9 um) by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215039 shortname: aerwdccdul longname: Wet deposition of dust aerosol (0.9 - 20 um) by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215040 shortname: aerngtdus longname: Negative fixer of dust aerosol (0.03 - 0.55 um) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215041 shortname: aerngtdum longname: Negative fixer of dust aerosol (0.55 - 0.9 um) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215042 shortname: aerngtdul longname: Negative fixer of dust aerosol (0.9 - 20 um) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215043 shortname: aermssdus longname: Vertically integrated mass of dust aerosol (0.03 - 0.55 um) units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215044 shortname: aermssdum longname: Vertically integrated mass of dust aerosol (0.55 - 0.9 um) units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215045 shortname: aermssdul longname: Vertically integrated mass of dust aerosol (0.9 - 20 um) units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215046 shortname: aeroddus longname: Dust aerosol (0.03 - 0.55 um) optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215047 shortname: aeroddum longname: Dust aerosol (0.55 - 0.9 um) optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215048 shortname: aeroddul longname: Dust aerosol (0.9 - 20 um) optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215049 shortname: aersrcomhphob longname: Source/gain of hydrophobic organic matter aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215050 shortname: aersrcomhphil longname: Source/gain of hydrophilic organic matter aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215051 shortname: aerddpomhphob longname: Dry deposition of hydrophobic organic matter aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215052 shortname: aerddpomhphil longname: Dry deposition of hydrophilic organic matter aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215053 shortname: aersdmomhphob longname: Sedimentation of hydrophobic organic matter aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215054 shortname: aersdmomhphil longname: Sedimentation of hydrophilic organic matter aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215055 shortname: aerwdlsomhphob longname: Wet deposition of hydrophobic organic matter aerosol by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215056 shortname: aerwdlsomhphil longname: Wet deposition of hydrophilic organic matter aerosol by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215057 shortname: aerwdccomhphob longname: Wet deposition of hydrophobic organic matter aerosol by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215058 shortname: aerwdccomhphil longname: Wet deposition of hydrophilic organic matter aerosol by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215059 shortname: aerngtomhphob longname: Negative fixer of hydrophobic organic matter aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215060 shortname: aerngtomhphil longname: Negative fixer of hydrophilic organic matter aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215061 shortname: aermssomhphob longname: Vertically integrated mass of hydrophobic organic matter aerosol units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215062 shortname: aermssomhphil longname: Vertically integrated mass of hydrophilic organic matter aerosol units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215063 shortname: aerodomhphob longname: Hydrophobic organic matter aerosol optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215064 shortname: aerodomhphil longname: Hydrophilic organic matter aerosol optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215065 shortname: aersrcbchphob longname: Source/gain of hydrophobic black carbon aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215066 shortname: aersrcbchphil longname: Source/gain of hydrophilic black carbon aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215067 shortname: aerddpbchphob longname: Dry deposition of hydrophobic black carbon aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215068 shortname: aerddpbchphil longname: Dry deposition of hydrophilic black carbon aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215069 shortname: aersdmbchphob longname: Sedimentation of hydrophobic black carbon aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215070 shortname: aersdmbchphil longname: Sedimentation of hydrophilic black carbon aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215071 shortname: aerwdlsbchphob longname: Wet deposition of hydrophobic black carbon aerosol by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215072 shortname: aerwdlsbchphil longname: Wet deposition of hydrophilic black carbon aerosol by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215073 shortname: aerwdccbchphob longname: Wet deposition of hydrophobic black carbon aerosol by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215074 shortname: aerwdccbchphil longname: Wet deposition of hydrophilic black carbon aerosol by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215075 shortname: aerngtbchphob longname: Negative fixer of hydrophobic black carbon aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215076 shortname: aerngtbchphil longname: Negative fixer of hydrophilic black carbon aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215077 shortname: aermssbchphob longname: Vertically integrated mass of hydrophobic black carbon aerosol units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215078 shortname: aermssbchphil longname: Vertically integrated mass of hydrophilic black carbon aerosol units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215079 shortname: aerodbchphob longname: Hydrophobic black carbon aerosol optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215080 shortname: aerodbchphil longname: Hydrophilic black carbon aerosol optical depth units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215081 shortname: aersrcsu longname: Source/gain of sulphate aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215082 shortname: aerddpsu longname: Dry deposition of sulphate aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215083 shortname: aersdmsu longname: Sedimentation of sulphate aerosol units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215084 shortname: aerwdlssu longname: Wet deposition of sulphate aerosol by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215085 shortname: aerwdccsu longname: Wet deposition of sulphate aerosol by convective precipitation units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215086 shortname: aerngtsu longname: Negative fixer of sulphate aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215087 shortname: aermsssu longname: Vertically integrated mass of sulphate aerosol units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215088 shortname: aerodsu longname: Sulphate aerosol optical depth units: '~' description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215089 shortname: accaod550 longname: Accumulated total aerosol optical depth at 550 nm units: s description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215090 shortname: aluvpsn longname: Effective (snow effect included) UV visible albedo for direct radiation units: (0 - 1) description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215091 shortname: aerdep10si longname: 10 metre wind speed dust emission potential units: kg s**2 m**-5 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215092 shortname: aerdep10fg longname: 10 metre wind gustiness dust emission potential units: kg s**2 m**-5 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215093 shortname: aot532 longname: Total aerosol optical thickness at 532 nm units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215094 shortname: naot532 longname: Natural (sea-salt and dust) aerosol optical thickness at 532 nm units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215095 shortname: aaot532 longname: Anthropogenic (black carbon, organic matter, sulphate) aerosol optical thickness at 532 nm units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215096 shortname: aodabs340 longname: Total absorption aerosol optical depth at 340 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215097 shortname: aodabs355 longname: Total absorption aerosol optical depth at 355 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215098 shortname: aodabs380 longname: Total absorption aerosol optical depth at 380 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215099 shortname: aodabs400 longname: Total absorption aerosol optical depth at 400 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215100 shortname: aodabs440 longname: Total absorption aerosol optical depth at 440 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215101 shortname: aodabs469 longname: Total absorption aerosol optical depth at 469 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215102 shortname: aodabs500 longname: Total absorption aerosol optical depth at 500 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215103 shortname: aodabs532 longname: Total absorption aerosol optical depth at 532 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215104 shortname: aodabs550 longname: Total absorption aerosol optical depth at 550 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215105 shortname: aodabs645 longname: Total absorption aerosol optical depth at 645 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215106 shortname: aodabs670 longname: Total absorption aerosol optical depth at 670 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215107 shortname: aodabs800 longname: Total absorption aerosol optical depth at 800 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215108 shortname: aodabs858 longname: Total absorption aerosol optical depth at 858 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215109 shortname: aodabs865 longname: Total absorption aerosol optical depth at 865 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215110 shortname: aodabs1020 longname: Total absorption aerosol optical depth at 1020 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215111 shortname: aodabs1064 longname: Total absorption aerosol optical depth at 1064 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215112 shortname: aodabs1240 longname: Total absorption aerosol optical depth at 1240 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215113 shortname: aodabs1640 longname: Total absorption aerosol optical depth at 1640 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215114 shortname: aodfm340 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 340 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215115 shortname: aodfm355 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 355 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215116 shortname: aodfm380 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 380 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215117 shortname: aodfm400 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 400 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215118 shortname: aodfm440 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 440 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215119 shortname: aodfm469 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 469 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215120 shortname: aodfm500 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 500 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215121 shortname: aodfm532 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 532 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215122 shortname: aodfm550 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 550 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215123 shortname: aodfm645 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 645 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215124 shortname: aodfm670 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 670 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215125 shortname: aodfm800 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 800 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215126 shortname: aodfm858 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 858 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215127 shortname: aodfm865 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 865 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215128 shortname: aodfm1020 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 1020 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215129 shortname: aodfm1064 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 1064 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215130 shortname: aodfm1240 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 1240 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215131 shortname: aodfm1640 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 1640 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215132 shortname: ssa340 longname: Single scattering albedo at 340 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215133 shortname: ssa355 longname: Single scattering albedo at 355 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215134 shortname: ssa380 longname: Single scattering albedo at 380 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215135 shortname: ssa400 longname: Single scattering albedo at 400 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215136 shortname: ssa440 longname: Single scattering albedo at 440 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215137 shortname: ssa469 longname: Single scattering albedo at 469 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215138 shortname: ssa500 longname: Single scattering albedo at 500 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215139 shortname: ssa532 longname: Single scattering albedo at 532 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215140 shortname: ssa550 longname: Single scattering albedo at 550 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215141 shortname: ssa645 longname: Single scattering albedo at 645 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215142 shortname: ssa670 longname: Single scattering albedo at 670 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215143 shortname: ssa800 longname: Single scattering albedo at 800 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215144 shortname: ssa858 longname: Single scattering albedo at 858 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215145 shortname: ssa865 longname: Single scattering albedo at 865 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215146 shortname: ssa1020 longname: Single scattering albedo at 1020 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215147 shortname: ssa1064 longname: Single scattering albedo at 1064 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215148 shortname: ssa1240 longname: Single scattering albedo at 1240 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215149 shortname: ssa1640 longname: Single scattering albedo at 1640 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215150 shortname: asymmetry340 longname: Asymmetry factor at 340 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215151 shortname: asymmetry355 longname: Asymmetry factor at 355 nm units: '~' description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215152 shortname: asymmetry380 longname: Asymmetry factor at 380 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215153 shortname: asymmetry400 longname: Asymmetry factor at 400 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215154 shortname: asymmetry440 longname: Asymmetry factor at 440 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215155 shortname: asymmetry469 longname: Asymmetry factor at 469 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215156 shortname: asymmetry500 longname: Asymmetry factor at 500 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215157 shortname: asymmetry532 longname: Asymmetry factor at 532 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215158 shortname: asymmetry550 longname: Asymmetry factor at 550 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215159 shortname: asymmetry645 longname: Asymmetry factor at 645 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215160 shortname: asymmetry670 longname: Asymmetry factor at 670 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215161 shortname: asymmetry800 longname: Asymmetry factor at 800 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215162 shortname: asymmetry858 longname: Asymmetry factor at 858 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215163 shortname: asymmetry865 longname: Asymmetry factor at 865 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215164 shortname: asymmetry1020 longname: Asymmetry factor at 1020 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215165 shortname: asymmetry1064 longname: Asymmetry factor at 1064 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215166 shortname: asymmetry1240 longname: Asymmetry factor at 1240 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215167 shortname: asymmetry1640 longname: Asymmetry factor at 1640 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215168 shortname: aersrcso2 longname: Source/gain of sulphur dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215169 shortname: aerddpso2 longname: Dry deposition of sulphur dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215170 shortname: aersdmso2 longname: Sedimentation of sulphur dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215171 shortname: aerwdlsso2 longname: Wet deposition of sulphur dioxide by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215172 shortname: aerwdccso2 longname: Wet deposition of sulphur dioxide by convective precipitation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215173 shortname: aerngtso2 longname: Negative fixer of sulphur dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215174 shortname: aermssso2 longname: Vertically integrated mass of sulphur dioxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215175 shortname: aerodso2 longname: Sulphur dioxide optical depth units: '~' description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215176 shortname: aodabs2130 longname: Total absorption aerosol optical depth at 2130 nm units: '~' description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215177 shortname: aodfm2130 longname: Total fine mode (r < 0.5 um) aerosol optical depth at 2130 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215178 shortname: ssa2130 longname: Single scattering albedo at 2130 nm units: (0 - 1) description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215179 shortname: asymmetry2130 longname: Asymmetry factor at 2130 nm units: '~' description: null access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215180 shortname: aerext355 longname: Aerosol extinction coefficient at 355 nm units: m**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id106 - *id130 - id: 215181 shortname: aerext532 longname: Aerosol extinction coefficient at 532 nm units: m**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id106 - *id130 - id: 215182 shortname: aerext1064 longname: Aerosol extinction coefficient at 1064 nm units: m**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id106 - *id130 - id: 215183 shortname: aerbackscattoa355 longname: Aerosol backscatter coefficient at 355 nm (from top of atmosphere) units: m**-1 sr**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id106 - *id130 - id: 215184 shortname: aerbackscattoa532 longname: Aerosol backscatter coefficient at 532 nm (from top of atmosphere) units: m**-1 sr**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id106 - *id130 - id: 215185 shortname: aerbackscattoa1064 longname: Aerosol backscatter coefficient at 1064 nm (from top of atmosphere) units: m**-1 sr**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id106 - *id130 - id: 215186 shortname: aerbackscatgnd355 longname: Aerosol backscatter coefficient at 355 nm (from ground) units: m**-1 sr**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id106 - *id130 - id: 215187 shortname: aerbackscatgnd532 longname: Aerosol backscatter coefficient at 532 nm (from ground) units: m**-1 sr**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id106 - *id130 - id: 215188 shortname: aerbackscatgnd1064 longname: Aerosol backscatter coefficient at 1064 nm (from ground) units: m**-1 sr**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id106 - *id130 - id: 215189 shortname: aersrcnif longname: Source/gain of fine-mode nitrate aerosol units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215190 shortname: aersrcnic longname: Source/gain of coarse-mode nitrate aerosol units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215191 shortname: aerddpnif longname: Dry deposition of fine-mode nitrate aerosol units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215192 shortname: aerddpnic longname: Dry deposition of coarse-mode nitrate aerosol units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215193 shortname: aersdmnif longname: Sedimentation of fine-mode nitrate aerosol units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215194 shortname: aersdmnic longname: Sedimentation of coarse-mode nitrate aerosol units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215195 shortname: aerwdlnif longname: Wet deposition of fine-mode nitrate aerosol by large-scale precipitation units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215196 shortname: aerwdlnic longname: Wet deposition of coarse-mode nitrate aerosol by large-scale precipitation units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215197 shortname: aerwdcnif longname: Wet deposition of fine-mode nitrate aerosol by convective precipitation units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215198 shortname: aerwdcnic longname: Wet deposition of coarse-mode nitrate aerosol by convective precipitation units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215199 shortname: aerngtnif longname: Negative fixer of fine-mode nitrate aerosol units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215200 shortname: aerngtnic longname: Negative fixer of coarse-mode nitrate aerosol units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215201 shortname: aermssnif longname: Vertically integrated mass of fine-mode nitrate aerosol units: kg m**-2 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215202 shortname: aermssnic longname: Vertically integrated mass of coarse-mode nitrate aerosol units: kg m**-2 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215203 shortname: aerodnif longname: Fine-mode nitrate aerosol optical depth at 550 nm units: dimensionless description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215204 shortname: aerodnic longname: Coarse-mode nitrate aerosol optical depth at 550 nm units: dimensionless description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215205 shortname: aersrcam longname: Source/gain of ammonium aerosol units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 98 table: 215 mars_request_context: - *id040 - id: 215206 shortname: aerddpam longname: Dry deposition of ammonium aerosol units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 215 mars_request_context: - *id040 - id: 215207 shortname: aersdmam longname: Sedimentation of ammonium aerosol units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 215 mars_request_context: - *id040 - id: 215208 shortname: aerwdlam longname: Wet deposition of ammonium aerosol by large-scale precipitation units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 215 mars_request_context: - *id040 - id: 215209 shortname: aerwdcam longname: Wet deposition of ammonium aerosol by convective precipitation units: kg m**-2 s**-1 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 215 mars_request_context: - *id040 - id: 215210 shortname: aerngtam longname: Negative fixer of ammonium aerosol units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215211 shortname: aermssam longname: Vertically integrated mass of ammonium aerosol units: kg m**-2 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 215 mars_request_context: - *id041 - *id040 - id: 215212 shortname: aersrcsoab longname: Source/gain of biogenic secondary organic aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215213 shortname: aerddpsoab longname: Dry deposition of biogenic secondary organic aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215214 shortname: aersdmsoab longname: Sedimentation of biogenic secondary organic aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215215 shortname: aerwdlsoab longname: Wet deposition of biogenic secondary organic aerosol by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215216 shortname: aerwdcsoab longname: Wet deposition of biogenic secondary organic aerosol by convective precipitation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215217 shortname: aerngtsoab longname: Negative fixer of biogenic secondary organic aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215218 shortname: aermsssoab longname: Vertically integrated mass of biogenic secondary organic aerosol units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215219 shortname: aersrcsoaa longname: Source/gain of anthropogenic secondary organic aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215220 shortname: aerddpsoaa longname: Dry deposition of anthropogenic secondary organic aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215221 shortname: aersdmsoaa longname: Sedimentation of anthropogenic secondary organic aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215222 shortname: aerwdlsoaa longname: Wet deposition of anthropogenic secondary organic aerosol by large-scale precipitation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215223 shortname: aerwdcsoaa longname: Wet deposition of anthropogenic secondary organic aerosol by convective precipitation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215224 shortname: aerngtsoaa longname: Negative fixer of anthropogenic secondary organic aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 215 mars_request_context: [] - id: 215225 shortname: aermsssoaa longname: Vertically integrated mass of anthropogenic secondary organic aerosol units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 215 mars_request_context: [] - id: 215226 shortname: soaod550 longname: Secondary organic aerosol optical depth at 550 nm units: dimensionless description: null access_ids: - dissemination origin_ids: - 0 table: 215 mars_request_context: - *id041 - *id040 - id: 216001 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216002 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216003 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216004 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216005 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216006 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216007 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216008 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216009 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216010 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216011 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216012 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216013 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216014 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216015 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216016 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216017 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216018 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216019 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216020 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216021 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216022 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216023 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216024 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216025 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216026 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216027 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216028 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216029 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216030 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216031 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216032 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216033 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216034 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216035 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216036 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216037 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216038 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216039 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216040 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216041 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216042 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216043 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216044 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216045 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216046 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216047 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216048 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216049 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216050 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216051 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216052 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216053 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216054 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216055 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216056 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216057 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216058 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216059 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216060 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216061 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216062 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216063 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216064 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216065 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216066 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216067 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216068 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216069 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216070 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216071 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216072 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216073 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216074 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216075 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216076 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216077 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216078 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216079 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216080 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216081 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216082 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216083 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216084 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216085 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216086 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216087 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216088 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216089 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216090 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216091 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216092 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216093 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216094 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216095 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216096 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216097 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216098 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216099 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216100 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216101 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216102 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216103 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216104 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216105 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216106 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216107 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216108 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216109 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216110 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216111 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216112 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216113 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216114 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216115 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216116 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216117 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216118 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216119 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216120 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216121 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216122 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216123 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216124 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216125 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216126 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216127 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216128 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216129 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216130 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216131 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216132 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216133 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216134 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216135 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216136 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216137 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216138 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216139 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216140 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216141 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216142 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216143 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216144 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216145 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216146 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216147 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216148 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216149 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216150 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216151 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216152 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216153 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216154 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216155 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216156 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216157 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216158 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216159 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216160 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216161 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216162 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216163 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216164 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216165 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216166 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216167 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216168 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216169 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216170 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216171 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216172 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216173 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216174 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216175 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216176 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216177 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216178 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216179 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216180 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216181 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216182 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216183 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216184 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216185 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216186 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216187 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216188 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216189 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216190 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216191 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216192 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216193 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216194 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216195 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216196 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216197 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216198 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216199 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216200 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216201 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216202 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216203 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216204 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216205 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216206 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216207 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216208 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216209 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216210 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216211 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216212 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216213 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216214 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216215 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216216 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216217 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216218 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216219 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216220 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216221 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216222 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216223 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216224 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216225 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216226 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216227 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216228 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216229 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216230 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216231 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216232 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216233 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216234 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216235 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216236 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216237 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216238 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216239 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216240 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216241 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216242 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216243 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216244 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216245 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216246 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216247 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216248 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216249 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216250 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216251 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216252 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216253 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216254 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 216255 shortname: '~' longname: Experimental product units: '~' description: MACC experimental products for the chemistry integration in IFS access_ids: [] origin_ids: - 98 table: 216 mars_request_context: [] - id: 217003 shortname: h2o2 longname: Hydrogen peroxide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217004 shortname: ch4_c longname: Methane (chemistry) units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217006 shortname: hno3 longname: Nitric acid units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217007 shortname: ch3ooh longname: Methyl peroxide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217009 shortname: par longname: Paraffins units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217010 shortname: c2h4 longname: Ethene units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217011 shortname: ole longname: Olefins units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217012 shortname: ald2 longname: Aldehydes units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217013 shortname: pan longname: Peroxyacetyl nitrate units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217014 shortname: rooh longname: Peroxides units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217015 shortname: onit longname: Organic nitrates units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217016 shortname: c5h8 longname: Isoprene units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217018 shortname: dms longname: Dimethyl sulfide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217019 shortname: nh3 longname: Ammonia mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217020 shortname: so4 longname: Sulfate units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217021 shortname: nh4 longname: Ammonium units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217022 shortname: msa longname: Methane sulfonic acid units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217023 shortname: ch3cocho longname: Methyl glyoxal units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217024 shortname: o3s longname: Stratospheric ozone units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217026 shortname: pb longname: Lead units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217027 shortname: 'no' longname: Nitrogen monoxide mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217028 shortname: ho2 longname: Hydroperoxy radical units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217029 shortname: ch3o2 longname: Methylperoxy radical units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217030 shortname: oh longname: Hydroxyl radical units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217032 shortname: no3 longname: Nitrate radical units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217033 shortname: n2o5 longname: Dinitrogen pentoxide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217034 shortname: ho2no2 longname: Pernitric acid units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217035 shortname: c2o3 longname: Peroxy acetyl radical units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217036 shortname: ror longname: Organic ethers units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217037 shortname: rxpar longname: PAR budget corrector units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217038 shortname: xo2 longname: NO to NO2 operator units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217039 shortname: xo2n longname: NO to alkyl nitrate operator units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217040 shortname: nh2 longname: Amine units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217041 shortname: psc longname: Polar stratospheric cloud units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217042 shortname: ch3oh longname: Methanol units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217043 shortname: hcooh longname: Formic acid units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217044 shortname: mcooh longname: Methacrylic acid units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217045 shortname: c2h6 longname: Ethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217046 shortname: c2h5oh longname: Ethanol units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217047 shortname: c3h8 longname: Propane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217048 shortname: c3h6 longname: Propene units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217049 shortname: c10h16 longname: Terpenes units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217050 shortname: ispd longname: Methacrolein MVK units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217051 shortname: no3_a longname: Nitrate units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217052 shortname: ch3coch3 longname: Acetone units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217053 shortname: aco2 longname: Acetone product units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217054 shortname: ic3h7o2 longname: IC3H7O2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217055 shortname: hypropo2 longname: HYPROPO2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217056 shortname: noxa longname: Nitrogen oxides Transp units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217057 shortname: co2_c longname: Carbon dioxide (chemistry) units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217058 shortname: n2o_c longname: Nitrous oxide (chemistry) units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217059 shortname: h2o longname: Water vapour (chemistry) units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217060 shortname: o2 longname: Oxygen units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217061 shortname: o2_1s longname: Singlet oxygen units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217062 shortname: o2_1d longname: Singlet delta oxygen units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217063 shortname: oclo longname: Chlorine dioxide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217064 shortname: clono2 longname: Chlorine nitrate units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217065 shortname: hocl longname: Hypochlorous acid units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217066 shortname: cl2 longname: Chlorine units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217067 shortname: clno2 longname: Nitryl chloride units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217068 shortname: hbr longname: Hydrogen bromide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217069 shortname: cl2o2 longname: Dichlorine dioxide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217070 shortname: hobr longname: Hypobromous acid units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217071 shortname: cfc11 longname: Trichlorofluoromethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217072 shortname: cfc12 longname: Dichlorodifluoromethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217073 shortname: cfc113 longname: Trichlorotrifluoroethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217074 shortname: cfc114 longname: Dichlorotetrafluoroethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217075 shortname: cfc115 longname: Chloropentafluoroethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217076 shortname: ccl4 longname: Tetrachloromethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217077 shortname: ch3ccl3 longname: Methyl chloroform units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217078 shortname: ch3cl longname: Methyl chloride units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217079 shortname: hcfc22 longname: Chlorodifluoromethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217080 shortname: ch3br longname: Methyl bromide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217081 shortname: ha1202 longname: Dibromodifluoromethane units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217082 shortname: ha1211 longname: Bromochlorodifluoromethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217083 shortname: ha1301 longname: Trifluorobromomethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217084 shortname: ha2402 longname: Cbrf2cbrf2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217085 shortname: h2so4 longname: Sulfuric acid units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217086 shortname: hono longname: Nitrous acid units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217087 shortname: hc3 longname: Alkanes low oh rate units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217088 shortname: hc5 longname: Alkanes med oh rate units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217089 shortname: hc8 longname: Alkanes high oh rate units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217090 shortname: olt longname: Terminal alkenes units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217091 shortname: oli longname: Internal alkenes units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217092 shortname: c2h5o2 longname: Ethylperoxy radical units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217093 shortname: dien longname: Butadiene units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217094 shortname: c2h5ooh longname: Ethyl hydroperoxide units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217095 shortname: api longname: A-pinene cyclic terpenes units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217096 shortname: ch3cooh longname: Acetic acid units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217097 shortname: lim longname: D-limonene cyclic diene units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217098 shortname: ch3cho longname: Acetaldehyde units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217099 shortname: tol longname: Toluene and less reactive aromatics units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217100 shortname: xyl longname: Xylene and more reactive aromatics units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217101 shortname: glyald longname: Glycolaldehyde units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217102 shortname: cresol longname: Cresol units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217103 shortname: ald longname: Acetaldehyde and higher units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217104 shortname: ch3coooh longname: Peracetic acid units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217105 shortname: ket longname: Ketones units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217106 shortname: eo2 longname: Hoch2ch2o2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217107 shortname: glyoxal longname: Glyoxal units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217108 shortname: eo longname: Hoch2ch2o units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217109 shortname: dcb longname: Unsaturated dicarbonyls units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217110 shortname: macr longname: Methacrolein units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217111 shortname: udd longname: Unsaturated hydroxy dicarbonyl units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217112 shortname: c3h7o2 longname: Isopropyldioxidanyl units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217113 shortname: hket longname: Hydroxy ketone units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217114 shortname: c3h7ooh longname: Isopropyl hydroperoxide units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217115 shortname: po2 longname: C3h6oho2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217116 shortname: pooh longname: C3h6ohooh units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217117 shortname: op2 longname: Higher organic peroxides units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217118 shortname: hyac longname: Hydroxyacetone units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217119 shortname: paa longname: Peroxyacetic acid units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217120 shortname: ro2 longname: Ch3coch2o2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217121 shortname: ethp longname: Peroxy radical from c2h6 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217122 shortname: hc3p longname: Peroxy radical from hc3 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217123 shortname: hc5p longname: Peroxy radical from hc5 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217124 shortname: bigene longname: Lumped alkenes units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217125 shortname: hc8p longname: Peroxy radical from hc8 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217126 shortname: bigalk longname: Lumped alkanes units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217127 shortname: etep longname: Peroxy radical from c2h4 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217128 shortname: mek longname: C4h8o units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217129 shortname: oltp longname: Peroxy radical from terminal alkenes units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217130 shortname: eneo2 longname: C4h9o3 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217131 shortname: olip longname: Peroxy radical from internal alkenes units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217132 shortname: meko2 longname: Ch3coch(oo)ch3 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217133 shortname: isopo2 longname: Peroxy radical from c5h8 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217134 shortname: mekooh longname: Ch3coch(ooh)ch3 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217135 shortname: apip longname: Peroxy radical from a-pinene cyclic terpenes units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217136 shortname: mco3 longname: Ch2=c(ch3)co3 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217137 shortname: limp longname: Peroxy radical from d-limonene cyclic diene units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217138 shortname: mvk longname: Methylvinylketone units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217139 shortname: pho longname: Phenoxy radical units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217140 shortname: tolp longname: Peroxy radical from toluene and less reactive aromatics units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217141 shortname: macro2 longname: Ch3c(o)ch(oo)ch2oh units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217142 shortname: xylp longname: Peroxy radical from xylene and more reactive aromatics units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217143 shortname: macrooh longname: H3c(o)ch(ooh)ch2oh units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217144 shortname: cslp longname: Peroxy radical from cresol units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217145 shortname: mpan longname: Unsaturated pans units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217146 shortname: tco3_c longname: Unsaturated acyl peroxy radical units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217147 shortname: ketp longname: Peroxy radical from ketones units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217148 shortname: alko2 longname: C5h11o2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217149 shortname: olnn longname: No3-alkenes adduct reacting to form carbonitrates units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217150 shortname: alkooh longname: C5h11ooh units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217151 shortname: olnd longname: No3-alkenes adduct reacting via decomposition units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217152 shortname: bigald longname: Hoch2c(ch3)=chcho units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217153 shortname: hydrald longname: C5h6o2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217154 shortname: sulf longname: Trop sulfuric acid units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217155 shortname: ox longname: Oxides units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217156 shortname: isopno3 longname: Ch2chc(ch3)(oo)ch2ono2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217157 shortname: onitr longname: C3 organic nitrate units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217158 shortname: clox longname: Chlorine oxides units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217159 shortname: brox longname: Bromine oxides units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217160 shortname: xooh longname: Hoch2c(ooh)(ch3)chchoh units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217161 shortname: isopooh longname: Hoch2c(ooh)(ch3)ch=ch2 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217162 shortname: toluene longname: Lumped aromatics units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217163 shortname: dmso longname: Dimethyl sulfoxyde units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217164 shortname: tolo2 longname: C7h9o5 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217165 shortname: tolooh longname: C7h10o5 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217166 shortname: h2s longname: Hydrogensulfide units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217167 shortname: xoh longname: C7h10o6 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217168 shortname: noy longname: All nitrogen oxides units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217169 shortname: cly longname: Chlorine family units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217170 shortname: terpo2 longname: C10h16(oh)(oo) units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217171 shortname: bry longname: Bromine family units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217172 shortname: terpooh longname: C10h18o3 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217173 shortname: n longname: Nitrogen atom units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217174 shortname: clo longname: Chlorine monoxide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217175 shortname: cl_c longname: Chlorine atom units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217176 shortname: bro longname: Bromine monoxide units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217177 shortname: h_c longname: Hydrogen atom units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217178 shortname: ch3 longname: Methyl group units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217179 shortname: addt longname: Aromatic-ho from toluene and less reactive aromatics units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217180 shortname: addx longname: Aromatic-ho from xylene and more reactive aromatics units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217181 shortname: nh4no3 longname: Ammonium nitrate units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217182 shortname: addc longname: Aromatic-ho from csl units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217183 shortname: soa1 longname: Secondary organic aerosol type 1 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217184 shortname: soa2a longname: Secondary organic aerosol type 2a units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217185 shortname: soa2b longname: Secondary organic aerosol type 2b units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217186 shortname: sog1 longname: Condensable gas type 1 units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217187 shortname: sog2a longname: Condensable gas type 2a units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217188 shortname: sog2b longname: Condensable gas type 2b units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217189 shortname: so3 longname: Sulfur trioxide units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217190 shortname: ocs_c longname: Carbonyl sulfide units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217191 shortname: br longname: Bromine atom units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217192 shortname: br2 longname: Bromine units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217193 shortname: brcl longname: Bromine monochloride units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217194 shortname: brono2 longname: Bromine nitrate units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217195 shortname: ch2br2 longname: Dibromomethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217196 shortname: ch3o longname: Methoxy radical units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217197 shortname: chbr3 longname: Tribromomethane units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217198 shortname: cloo longname: Asymmetric chlorine dioxide radical units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217199 shortname: h2 longname: Hydrogen units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217200 shortname: hcl longname: Hydrogen chloride units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217201 shortname: hco longname: Formyl radical units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217202 shortname: hf longname: Hydrogen fluoride units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 98 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217203 shortname: o longname: Oxygen atom units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217204 shortname: o1d longname: Excited oxygen atom units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217205 shortname: o3p longname: Ground state oxygen atom units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217206 shortname: strataer longname: Stratospheric aerosol units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217222 shortname: AROO2 longname: Aromatic peroxy radical mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 217 mars_request_context: [] - id: 217223 shortname: C2H2 longname: Ethyne mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 217 mars_request_context: [] - id: 217224 shortname: CH3CN longname: Acetonitrile mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217225 shortname: CH3O2NO2 longname: Methyl peroxy nitrate mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 217 mars_request_context: [] - id: 217226 shortname: HCN longname: Hydrogen cyanide mass mixing ratio units: kg kg**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 217 mars_request_context: - *id105 - *id129 - *id106 - *id130 - id: 217227 shortname: HPALD1 longname: Hydroperoxy aldehydes type 1 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 217 mars_request_context: [] - id: 217228 shortname: HPALD longname: Hydroperoxy aldehydes type 2 mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 217 mars_request_context: [] - id: 217229 shortname: ISOPBO2 longname: Isoprene peroxy type B mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 217 mars_request_context: [] - id: 217230 shortname: ISOPDO2 longname: Isoprene peroxy type D mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 217 mars_request_context: [] - id: 217231 shortname: VOCA longname: Anthropogenic volatile organic compounds mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 217232 shortname: VOCBB longname: Biomass burning volatile organic compounds mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 98 table: 217 mars_request_context: [] - id: 218003 shortname: tc_h2o2 longname: Total column hydrogen peroxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218004 shortname: tc_ch4 longname: Total column methane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218006 shortname: tc_hno3 longname: Total column nitric acid units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218007 shortname: tc_ch3ooh longname: Total column methyl peroxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218009 shortname: tc_par longname: Total column paraffins units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218010 shortname: tc_c2h4 longname: Total column ethene units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218011 shortname: tc_ole longname: Total column olefins units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218012 shortname: tc_ald2 longname: Total column aldehydes units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218013 shortname: tc_pan longname: Total column peroxyacetyl nitrate units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218014 shortname: tc_rooh longname: Total column peroxides units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218015 shortname: tc_onit longname: Total column organic nitrates units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218016 shortname: tc_c5h8 longname: Total column isoprene units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218018 shortname: tc_dms longname: Total column dimethyl sulfide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218019 shortname: tc_nh3 longname: Total column ammonia units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218020 shortname: tc_so4 longname: Total column sulfate units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218021 shortname: tc_nh4 longname: Total column ammonium units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218022 shortname: tc_msa longname: Total column methane sulfonic acid units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218023 shortname: tc_ch3cocho longname: Total column methyl glyoxal units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218024 shortname: tc_o3s longname: Total column stratospheric ozone units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218026 shortname: tc_pb longname: Total column lead units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218027 shortname: tc_no longname: Total column nitrogen monoxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218028 shortname: tc_ho2 longname: Total column hydroperoxy radical units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218029 shortname: tc_ch3o2 longname: Total column methylperoxy radical units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218030 shortname: tc_oh longname: Total column hydroxyl radical units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218032 shortname: tc_no3 longname: Total column nitrate radical units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218033 shortname: tc_n2o5 longname: Total column dinitrogen pentoxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218034 shortname: tc_ho2no2 longname: Total column pernitric acid units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218035 shortname: tc_c2o3 longname: Total column peroxy acetyl radical units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218036 shortname: tc_ror longname: Total column organic ethers units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218037 shortname: tc_rxpar longname: Total column PAR budget corrector units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218038 shortname: tc_xo2 longname: Total column NO to NO2 operator units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218039 shortname: tc_xo2n longname: Total column NO to alkyl nitrate operator units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218040 shortname: tc_nh2 longname: Total column amine units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218041 shortname: tc_psc longname: Total column polar stratospheric cloud units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218042 shortname: tc_ch3oh longname: Total column methanol units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218043 shortname: tc_hcooh longname: Total column formic acid units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218044 shortname: tc_mcooh longname: Total column methacrylic acid units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218045 shortname: tc_c2h6 longname: Total column ethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218046 shortname: tc_c2h5oh longname: Total column ethanol units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218047 shortname: tc_c3h8 longname: Total column propane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218048 shortname: tc_c3h6 longname: Total column propene units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218049 shortname: tc_c10h16 longname: Total column terpenes units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218050 shortname: tc_ispd longname: Total column methacrolein MVK units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218051 shortname: tc_no3_a longname: Total column nitrate units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218052 shortname: tc_ch3coch3 longname: Total column acetone units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218053 shortname: tc_aco2 longname: Total column acetone product units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218054 shortname: tc_ic3h7o2 longname: Total column IC3H7O2 units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218055 shortname: tc_hypropo2 longname: Total column HYPROPO2 units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218056 shortname: tc_noxa longname: Total column nitrogen oxides Transp units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218057 shortname: tc_co2_c longname: Total column of carbon dioxide (chemistry) units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218058 shortname: tc_n2o_c longname: Total column of nitrous oxide (chemistry) units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218059 shortname: tc_h2o longname: Total column of water vapour (chemistry) units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218060 shortname: tc_o2 longname: Total column of oxygen units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218061 shortname: tc_o2_1s longname: Total column of singlet oxygen units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218062 shortname: tc_o2_1d longname: Total column of singlet delta oxygen units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218063 shortname: tc_oclo longname: Total column of chlorine dioxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218064 shortname: tc_clono2 longname: Total column of chlorine nitrate units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218065 shortname: tc_hocl longname: Total column of hypochlorous acid units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218066 shortname: tc_cl2 longname: Total column of chlorine units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218067 shortname: tc_clno2 longname: Total column of nitryl chloride units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218068 shortname: tc_hbr longname: Total column of hydrogen bromide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218069 shortname: tc_cl2o2 longname: Total column of dichlorine dioxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218070 shortname: tc_hobr longname: Total column of hypobromous acid units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218071 shortname: tc_cfc11 longname: Total column of trichlorofluoromethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218072 shortname: tc_cfc12 longname: Total column of dichlorodifluoromethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218073 shortname: tc_cfc113 longname: Total column of trichlorotrifluoroethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218074 shortname: tc_cfc114 longname: Total column of dichlorotetrafluoroethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218075 shortname: tc_cfc115 longname: Total column of chloropentafluoroethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218076 shortname: tc_ccl4 longname: Total column of tetrachloromethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218077 shortname: tc_ch3ccl3 longname: Total column of methyl chloroform units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218078 shortname: tc_ch3cl longname: Total column of methyl chloride units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218079 shortname: tc_hcfc22 longname: Total column of chlorodifluoromethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218080 shortname: tc_ch3br longname: Total column of methyl bromide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218081 shortname: tc_ha1202 longname: Total column of dibromodifluoromethane units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218082 shortname: tc_ha1211 longname: Total column of bromochlorodifluoromethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218083 shortname: tc_ha1301 longname: Total column of trifluorobromomethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218084 shortname: tc_ha2402 longname: Total column of cbrf2cbrf2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218085 shortname: tc_h2so4 longname: Total column of sulfuric acid units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218086 shortname: tc_hono longname: Total column of nitrous acid units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218087 shortname: tc_hc3 longname: Total column of alkanes low oh rate units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218088 shortname: tc_hc5 longname: Total column of alkanes med oh rate units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218089 shortname: tc_hc8 longname: Total column of alkanes high oh rate units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218090 shortname: tc_olt longname: Total column of terminal alkenes units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218091 shortname: tc_oli longname: Total column of internal alkenes units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218092 shortname: tc_c2h5o2 longname: Total column of ethylperoxy radical units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218093 shortname: tc_dien longname: Total column of butadiene units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218094 shortname: tc_c2h5ooh longname: Total column of ethyl hydroperoxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218095 shortname: tc_api longname: Total column of a-pinene cyclic terpenes units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218096 shortname: tc_ch3cooh longname: Total column of acetic acid units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218097 shortname: tc_lim longname: Total column of d-limonene cyclic diene units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218098 shortname: tc_ch3cho longname: Total column of acetaldehyde units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218099 shortname: tc_tol longname: Total column of toluene and less reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218100 shortname: tc_xyl longname: Total column of xylene and more reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218101 shortname: tc_glyald longname: Total column of glycolaldehyde units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218102 shortname: tc_cresol longname: Total column of cresol units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218103 shortname: tc_ald longname: Total column of acetaldehyde and higher units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218104 shortname: tc_ch3coooh longname: Total column of peracetic acid units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218105 shortname: tc_ket longname: Total column of ketones units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218106 shortname: tc_eo2 longname: Total column of hoch2ch2o2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218107 shortname: tc_glyoxal longname: Total column of glyoxal units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218108 shortname: tc_eo longname: Total column of hoch2ch2o units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218109 shortname: tc_dcb longname: Total column of unsaturated dicarbonyls units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218110 shortname: tc_macr longname: Total column of methacrolein units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218111 shortname: tc_udd longname: Total column of unsaturated hydroxy dicarbonyl units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218112 shortname: tc_c3h7o2 longname: Total column of isopropyldioxidanyl units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218113 shortname: tc_hket longname: Total column of hydroxy ketone units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218114 shortname: tc_c3h7ooh longname: Total column of isopropyl hydroperoxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218115 shortname: tc_po2 longname: Total column of c3h6oho2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218116 shortname: tc_pooh longname: Total column of c3h6ohooh units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218117 shortname: tc_op2 longname: Total column of higher organic peroxides units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218118 shortname: tc_hyac longname: Total column of hydroxyacetone units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218119 shortname: tc_paa longname: Total column of peroxyacetic acid units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218120 shortname: tc_ro2 longname: Total column of ch3coch2o2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218121 shortname: tc_ethp longname: Total column of peroxy radical from c2h6 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218122 shortname: tc_hc3p longname: Total column of peroxy radical from hc3 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218123 shortname: tc_hc5p longname: Total column of peroxy radical from hc5 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218124 shortname: tc_bigene longname: Total column of lumped alkenes units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218125 shortname: tc_hc8p longname: Total column of peroxy radical from hc8 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218126 shortname: tc_bigalk longname: Total column of lumped alkanes units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218127 shortname: tc_etep longname: Total column of peroxy radical from c2h4 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218128 shortname: tc_mek longname: Total column of c4h8o units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218129 shortname: tc_oltp longname: Total column of peroxy radical from terminal alkenes units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218130 shortname: tc_eneo2 longname: Total column of c4h9o3 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218131 shortname: tc_olip longname: Total column of peroxy radical from internal alkenes units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218132 shortname: tc_meko2 longname: Total column of ch3coch(oo)ch3 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218133 shortname: tc_isopo2 longname: Total column of peroxy radical from c5h8 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218134 shortname: tc_mekooh longname: Total column of ch3coch(ooh)ch3 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218135 shortname: tc_apip longname: Total column of peroxy radical from a-pinene cyclic terpenes units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218136 shortname: tc_mco3 longname: Total column of ch2=c(ch3)co3 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218137 shortname: tc_limp longname: Total column of peroxy radical from d-limonene cyclic diene units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218138 shortname: tc_mvk longname: Total column of methylvinylketone units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218139 shortname: tc_pho longname: Total column of phenoxy radical units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218140 shortname: tc_tolp longname: Total column of peroxy radical from toluene and less reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218141 shortname: tc_macro2 longname: Total column of ch3c(o)ch(oo)ch2oh units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218142 shortname: tc_xylp longname: Total column of peroxy radical from xylene and more reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218143 shortname: tc_macrooh longname: Total column of h3c(o)ch(ooh)ch2oh units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218144 shortname: tc_cslp longname: Total column of peroxy radical from cresol units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218145 shortname: tc_mpan longname: Total column of unsaturated pans units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218146 shortname: tc_tco3_c longname: Total column of unsaturated acyl peroxy radical units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218147 shortname: tc_ketp longname: Total column of peroxy radical from ketones units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218148 shortname: tc_alko2 longname: Total column of c5h11o2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218149 shortname: tc_olnn longname: Total column of no3-alkenes adduct reacting to form carbonitrates units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218150 shortname: tc_alkooh longname: Total column of c5h11ooh units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218151 shortname: tc_olnd longname: Total column of no3-alkenes adduct reacting via decomposition units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218152 shortname: tc_bigald longname: Total column of hoch2c(ch3)=chcho units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218153 shortname: tc_hydrald longname: Total column of c5h6o2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218154 shortname: tc_sulf longname: Total column of trop sulfuric acid units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218155 shortname: tc_ox longname: Total column of oxides units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218156 shortname: tc_isopno3 longname: Total column of ch2chc(ch3)(oo)ch2ono2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218157 shortname: tc_onitr longname: Total column of c3 organic nitrate units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218158 shortname: tc_clox longname: Total column of chlorine oxides units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218159 shortname: tc_brox longname: Total column of bromine oxides units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218160 shortname: tc_xooh longname: Total column of hoch2c(ooh)(ch3)chchoh units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218161 shortname: tc_isopooh longname: Total column of hoch2c(ooh)(ch3)ch=ch2 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218162 shortname: tc_toluene longname: Total column of lumped aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218163 shortname: tc_dmso longname: Total column of dimethyl sulfoxyde units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218164 shortname: tc_tolo2 longname: Total column of c7h9o5 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218165 shortname: tc_tolooh longname: Total column of c7h10o5 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218166 shortname: tc_h2s longname: Total column of hydrogensulfide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218167 shortname: tc_xoh longname: Total column of c7h10o6 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218168 shortname: tc_noy longname: Total column of all nitrogen oxides units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218169 shortname: tc_cly longname: Total column of chlorine family units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218170 shortname: tc_terpo2 longname: Total column of c10h16(oh)(oo) units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218171 shortname: tc_bry longname: Total column of bromine family units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218172 shortname: tc_terpooh longname: Total column of c10h18o3 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218173 shortname: tc_n longname: Total column of nitrogen atom units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218174 shortname: tc_clo longname: Total column of chlorine monoxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218175 shortname: tc_cl_c longname: Total column of chlorine atom units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218176 shortname: tc_bro longname: Total column of bromine monoxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218177 shortname: tc_h_c longname: Total column of hydrogen atom units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218178 shortname: tc_ch3 longname: Total column of methyl group units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218179 shortname: tc_addt longname: Total column of aromatic-ho from toluene and less reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218180 shortname: tc_addx longname: Total column of aromatic-ho from xylene and more reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218181 shortname: tc_nh4no3 longname: Total column of ammonium nitrate units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218182 shortname: tc_addc longname: Total column of aromatic-ho from csl units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218183 shortname: tc_soa1 longname: Total column of secondary organic aerosol type 1 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218184 shortname: tc_soa2a longname: Total column of secondary organic aerosol type 2a units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218185 shortname: tc_soa2b longname: Total column of secondary organic aerosol type 2b units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218186 shortname: tc_sog1 longname: Total column of condensable gas type 1 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218187 shortname: tc_sog2a longname: Total column of condensable gas type 2a units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218188 shortname: tc_sog2b longname: Total column of condensable gas type 2b units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218189 shortname: tc_so3 longname: Total column of sulfur trioxide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218190 shortname: tc_ocs_c longname: Total column of carbonyl sulfide units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218191 shortname: tc_br longname: Total column of bromine atom units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218192 shortname: tc_br2 longname: Total column of bromine units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218193 shortname: tc_brcl longname: Total column of bromine monochloride units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218194 shortname: tc_brono2 longname: Total column of bromine nitrate units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218195 shortname: tc_ch2br2 longname: Total column of dibromomethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218196 shortname: tc_ch3o longname: Total column of methoxy radical units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218197 shortname: tc_chbr3 longname: Total column of tribromomethane units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218198 shortname: tc_cloo longname: Total column of asymmetric chlorine dioxide radical units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218199 shortname: tc_h2 longname: Total column of hydrogen units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218200 shortname: tc_hcl longname: Total column of hydrogen chloride units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218201 shortname: tc_hco longname: Total column of formyl radical units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218202 shortname: tc_hf longname: Total column of hydrogen fluoride units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 98 table: 218 mars_request_context: - *id041 - *id040 - id: 218203 shortname: tc_o longname: Total column of oxygen atom units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218204 shortname: tc_o1d longname: Total column of excited oxygen atom units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218205 shortname: tc_o3p longname: Total column of ground state oxygen atom units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218206 shortname: tc_strataer longname: Total column of stratospheric aerosol units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218221 shortname: tc_VSO2 longname: Column integrated mass density of Volcanic sulfur dioxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 218 mars_request_context: - *id041 - *id040 - id: 218222 shortname: tc_AROO2 longname: Column integrated mass density of Aromatic peroxy radical units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 218 mars_request_context: [] - id: 218223 shortname: tc_C2H2 longname: Column integrated mass density of Ethyne units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 218 mars_request_context: [] - id: 218224 shortname: tc_CH3CN longname: Column integrated mass density of Acetonitrile units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 218 mars_request_context: - *id041 - *id040 - id: 218225 shortname: tc_CH3O2NO2 longname: Column integrated mass density of Methyl peroxy nitrate units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 218 mars_request_context: [] - id: 218226 shortname: tc_HCN longname: Column integrated mass density of Hydrogen cyanide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 218 mars_request_context: - *id041 - *id040 - id: 218227 shortname: tc_HPALD1 longname: Column integrated mass density of Hydroperoxy aldehydes type 1 units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 218 mars_request_context: [] - id: 218228 shortname: tc_HPALD2 longname: Column integrated mass density of Hydroperoxy aldehydes type 2 units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 218 mars_request_context: [] - id: 218229 shortname: tc_ISOPBO2 longname: Column integrated mass density of Isoprene peroxy type B units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 218 mars_request_context: [] - id: 218230 shortname: tc_ISOPDO2 longname: Column integrated mass density of Isoprene peroxy type D units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 218 mars_request_context: [] - id: 218231 shortname: tc_VOCA longname: Column integrated mass density of Anthropogenic volatile organic compounds units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 218232 shortname: tc_VOCBB longname: Column integrated mass density of Biomass burning volatile organic compounds units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 218 mars_request_context: [] - id: 219001 shortname: e_go3 longname: Ozone emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219002 shortname: e_nox longname: Nitrogen oxides emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219003 shortname: e_h2o2 longname: Hydrogen peroxide emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219004 shortname: e_ch4 longname: Methane emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219005 shortname: e_co longname: Carbon monoxide emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219006 shortname: e_hno3 longname: Nitric acid emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219007 shortname: e_ch3ooh longname: Methyl peroxide emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219008 shortname: e_hcho longname: Formaldehyde emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219009 shortname: e_par longname: Paraffins emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219010 shortname: e_c2h4 longname: Ethene emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219011 shortname: e_ole longname: Olefins emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219012 shortname: e_ald2 longname: Aldehydes emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219013 shortname: e_pan longname: Peroxyacetyl nitrate emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219014 shortname: e_rooh longname: Peroxides emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219015 shortname: e_onit longname: Organic nitrates emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219016 shortname: e_c5h8 longname: Isoprene emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219017 shortname: e_so2 longname: Sulfur dioxide emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219018 shortname: e_dms longname: Dimethyl sulfide emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219019 shortname: e_nh3 longname: Ammonia emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219020 shortname: e_so4 longname: Sulfate emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219021 shortname: e_nh4 longname: Ammonium emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219022 shortname: e_msa longname: Methane sulfonic acid emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219023 shortname: e_ch3cocho longname: Methyl glyoxal emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219024 shortname: e_o3s longname: Stratospheric ozone emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219025 shortname: e_ra longname: Radon emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219026 shortname: e_pb longname: Lead emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219027 shortname: e_no longname: Nitrogen monoxide emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219028 shortname: e_ho2 longname: Hydroperoxy radical emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219029 shortname: e_ch3o2 longname: Methylperoxy radical emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219030 shortname: e_oh longname: Hydroxyl radical emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219031 shortname: e_no2 longname: Nitrogen dioxide emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219032 shortname: e_no3 longname: Nitrate radical emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219033 shortname: e_n2o5 longname: Dinitrogen pentoxide emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219034 shortname: e_ho2no2 longname: Pernitric acid emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219035 shortname: e_c2o3 longname: Peroxy acetyl radical emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219036 shortname: e_ror longname: Organic ethers emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219037 shortname: e_rxpar longname: PAR budget corrector emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219038 shortname: e_xo2 longname: NO to NO2 operator emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219039 shortname: e_xo2n longname: NO to alkyl nitrate operator emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219040 shortname: e_nh2 longname: Amine emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219041 shortname: e_psc longname: Polar stratospheric cloud emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219042 shortname: e_ch3oh longname: Methanol emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219043 shortname: e_hcooh longname: Formic acid emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219044 shortname: e_mcooh longname: Methacrylic acid emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219045 shortname: e_c2h6 longname: Ethane emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219046 shortname: e_c2h5oh longname: Ethanol emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219047 shortname: e_c3h8 longname: Propane emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219048 shortname: e_c3h6 longname: Propene emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219049 shortname: e_c10h16 longname: Terpenes emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219050 shortname: e_ispd longname: Methacrolein MVK emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219051 shortname: e_no3_a longname: Nitrate emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219052 shortname: e_ch3coch3 longname: Acetone emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219053 shortname: e_aco2 longname: Acetone product emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219054 shortname: e_ic3h7o2 longname: IC3H7O2 emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219055 shortname: e_hypropo2 longname: HYPROPO2 emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219056 shortname: e_noxa longname: Nitrogen oxides Transp emissions units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219057 shortname: e_co2_c longname: Emissions of carbon dioxide (chemistry) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219058 shortname: e_n2o_c longname: Emissions of nitrous oxide (chemistry) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219059 shortname: e_h2o longname: Emissions of water vapour (chemistry) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219060 shortname: e_o2 longname: Emissions of oxygen units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219061 shortname: e_o2_1s longname: Emissions of singlet oxygen units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219062 shortname: e_o2_1d longname: Emissions of singlet delta oxygen units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219063 shortname: e_oclo longname: Emissions of chlorine dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219064 shortname: e_clono2 longname: Emissions of chlorine nitrate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219065 shortname: e_hocl longname: Emissions of hypochlorous acid units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219066 shortname: e_cl2 longname: Emissions of chlorine units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219067 shortname: e_clno2 longname: Emissions of nitryl chloride units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219068 shortname: e_hbr longname: Emissions of hydrogen bromide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219069 shortname: e_cl2o2 longname: Emissions of dichlorine dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219070 shortname: e_hobr longname: Emissions of hypobromous acid units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219071 shortname: e_cfc11 longname: Emissions of trichlorofluoromethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219072 shortname: e_cfc12 longname: Emissions of dichlorodifluoromethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219073 shortname: e_cfc113 longname: Emissions of trichlorotrifluoroethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219074 shortname: e_cfc114 longname: Emissions of dichlorotetrafluoroethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219075 shortname: e_cfc115 longname: Emissions of chloropentafluoroethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219076 shortname: e_ccl4 longname: Emissions of tetrachloromethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219077 shortname: e_ch3ccl3 longname: Emissions of methyl chloroform units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219078 shortname: e_ch3cl longname: Emissions of methyl chloride units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219079 shortname: e_hcfc22 longname: Emissions of chlorodifluoromethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219080 shortname: e_ch3br longname: Emissions of methyl bromide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219081 shortname: e_ha1202 longname: Emissions of dibromodifluoromethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219082 shortname: e_ha1211 longname: Emissions of bromochlorodifluoromethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219083 shortname: e_ha1301 longname: Emissions of trifluorobromomethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219084 shortname: e_ha2402 longname: Emissions of cbrf2cbrf2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219085 shortname: e_h2so4 longname: Emissions of sulfuric acid units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219086 shortname: e_hono longname: Emissions of nitrous acid units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219087 shortname: e_hc3 longname: Emissions of alkanes low oh rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219088 shortname: e_hc5 longname: Emissions of alkanes med oh rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219089 shortname: e_hc8 longname: Emissions of alkanes high oh rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219090 shortname: e_olt longname: Emissions of terminal alkenes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219091 shortname: e_oli longname: Emissions of internal alkenes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219092 shortname: e_c2h5o2 longname: Emissions of ethylperoxy radical units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219093 shortname: e_dien longname: Emissions of butadiene units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219094 shortname: e_c2h5ooh longname: Emissions of ethyl hydroperoxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219095 shortname: e_api longname: Emissions of a-pinene cyclic terpenes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219096 shortname: e_ch3cooh longname: Emissions of acetic acid units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219097 shortname: e_lim longname: Emissions of d-limonene cyclic diene units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219098 shortname: e_ch3cho longname: Emissions of acetaldehyde units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219099 shortname: e_tol longname: Emissions of toluene and less reactive aromatics units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219100 shortname: e_xyl longname: Emissions of xylene and more reactive aromatics units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219101 shortname: e_glyald longname: Emissions of glycolaldehyde units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219102 shortname: e_cresol longname: Emissions of cresol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219103 shortname: e_ald longname: Emissions of acetaldehyde and higher units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219104 shortname: e_ch3coooh longname: Emissions of peracetic acid units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219105 shortname: e_ket longname: Emissions of ketones units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219106 shortname: e_eo2 longname: Emissions of hoch2ch2o2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219107 shortname: e_glyoxal longname: Emissions of glyoxal units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219108 shortname: e_eo longname: Emissions of hoch2ch2o units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219109 shortname: e_dcb longname: Emissions of unsaturated dicarbonyls units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219110 shortname: e_macr longname: Emissions of methacrolein units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219111 shortname: e_udd longname: Emissions of unsaturated hydroxy dicarbonyl units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219112 shortname: e_c3h7o2 longname: Emissions of isopropyldioxidanyl units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219113 shortname: e_hket longname: Emissions of hydroxy ketone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219114 shortname: e_c3h7ooh longname: Emissions of isopropyl hydroperoxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219115 shortname: e_po2 longname: Emissions of c3h6oho2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219116 shortname: e_pooh longname: Emissions of c3h6ohooh units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219117 shortname: e_op2 longname: Emissions of higher organic peroxides units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219118 shortname: e_hyac longname: Emissions of hydroxyacetone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219119 shortname: e_paa longname: Emissions of peroxyacetic acid units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219120 shortname: e_ro2 longname: Emissions of ch3coch2o2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219121 shortname: e_ethp longname: Emissions of peroxy radical from c2h6 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219122 shortname: e_hc3p longname: Emissions of peroxy radical from hc3 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219123 shortname: e_hc5p longname: Emissions of peroxy radical from hc5 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219124 shortname: e_bigene longname: Emissions of lumped alkenes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219125 shortname: e_hc8p longname: Emissions of peroxy radical from hc8 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219126 shortname: e_bigalk longname: Emissions of lumped alkanes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219127 shortname: e_etep longname: Emissions of peroxy radical from c2h4 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219128 shortname: e_mek longname: Emissions of c4h8o units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219129 shortname: e_oltp longname: Emissions of peroxy radical from terminal alkenes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219130 shortname: e_eneo2 longname: Emissions of c4h9o3 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219131 shortname: e_olip longname: Emissions of peroxy radical from internal alkenes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219132 shortname: e_meko2 longname: Emissions of ch3coch(oo)ch3 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219133 shortname: e_isopo2 longname: Emissions of peroxy radical from c5h8 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219134 shortname: e_mekooh longname: Emissions of ch3coch(ooh)ch3 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219135 shortname: e_apip longname: Emissions of peroxy radical from a-pinene cyclic terpenes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219136 shortname: e_mco3 longname: Emissions of ch2=c(ch3)co3 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219137 shortname: e_limp longname: Emissions of peroxy radical from d-limonene cyclic diene units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219138 shortname: e_mvk longname: Emissions of methylvinylketone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219139 shortname: e_pho longname: Emissions of phenoxy radical units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219140 shortname: e_tolp longname: Emissions of peroxy radical from toluene and less reactive aromatics units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219141 shortname: e_macro2 longname: Emissions of ch3c(o)ch(oo)ch2oh units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219142 shortname: e_xylp longname: Emissions of peroxy radical from xylene and more reactive aromatics units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219143 shortname: e_macrooh longname: Emissions of h3c(o)ch(ooh)ch2oh units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219144 shortname: e_cslp longname: Emissions of peroxy radical from cresol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219145 shortname: e_mpan longname: Emissions of unsaturated pans units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219146 shortname: e_tco3_c longname: Emissions of unsaturated acyl peroxy radical units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219147 shortname: e_ketp longname: Emissions of peroxy radical from ketones units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219148 shortname: e_alko2 longname: Emissions of c5h11o2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219149 shortname: e_olnn longname: Emissions of no3-alkenes adduct reacting to form carbonitrates units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219150 shortname: e_alkooh longname: Emissions of c5h11ooh units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219151 shortname: e_olnd longname: Emissions of no3-alkenes adduct reacting via decomposition units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219152 shortname: e_bigald longname: Emissions of hoch2c(ch3)=chcho units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219153 shortname: e_hydrald longname: Emissions of c5h6o2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219154 shortname: e_sulf longname: Emissions of trop sulfuric acid units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219155 shortname: e_ox longname: Emissions of oxides units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219156 shortname: e_isopno3 longname: Emissions of ch2chc(ch3)(oo)ch2ono2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219157 shortname: e_onitr longname: Emissions of c3 organic nitrate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219158 shortname: e_clox longname: Emissions of chlorine oxides units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219159 shortname: e_brox longname: Emissions of bromine oxides units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219160 shortname: e_xooh longname: Emissions of hoch2c(ooh)(ch3)chchoh units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219161 shortname: e_isopooh longname: Emissions of hoch2c(ooh)(ch3)ch=ch2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219162 shortname: e_toluene longname: Emissions of lumped aromatics units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219163 shortname: e_dmso longname: Emissions of dimethyl sulfoxyde units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219164 shortname: e_tolo2 longname: Emissions of c7h9o5 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219165 shortname: e_tolooh longname: Emissions of c7h10o5 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219166 shortname: e_h2s longname: Emissions of hydrogensulfide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219167 shortname: e_xoh longname: Emissions of c7h10o6 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219168 shortname: e_noy longname: Emissions of all nitrogen oxides units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219169 shortname: e_cly longname: Emissions of chlorine family units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219170 shortname: e_terpo2 longname: Emissions of c10h16(oh)(oo) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219171 shortname: e_bry longname: Emissions of bromine family units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219172 shortname: e_terpooh longname: Emissions of c10h18o3 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219173 shortname: e_n longname: Emissions of nitrogen atom units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219174 shortname: e_clo longname: Emissions of chlorine monoxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219175 shortname: e_cl_c longname: Emissions of chlorine atom units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219176 shortname: e_bro longname: Emissions of bromine monoxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219177 shortname: e_h_c longname: Emissions of hydrogen atom units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219178 shortname: e_ch3 longname: Emissions of methyl group units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219179 shortname: e_addt longname: Emissions of aromatic-ho from toluene and less reactive aromatics units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219180 shortname: e_addx longname: Emissions of aromatic-ho from xylene and more reactive aromatics units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219181 shortname: e_nh4no3 longname: Emissions of ammonium nitrate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219182 shortname: e_addc longname: Emissions of aromatic-ho from csl units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219183 shortname: e_soa1 longname: Emissions of secondary organic aerosol type 1 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219184 shortname: e_soa2a longname: Emissions of secondary organic aerosol type 2a units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219185 shortname: e_soa2b longname: Emissions of secondary organic aerosol type 2b units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219186 shortname: e_sog1 longname: Emissions of condensable gas type 1 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219187 shortname: e_sog2a longname: Emissions of condensable gas type 2a units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219188 shortname: e_sog2b longname: Emissions of condensable gas type 2b units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219189 shortname: e_so3 longname: Emissions of sulfur trioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219190 shortname: e_ocs_c longname: Emissions of carbonyl sulfide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219191 shortname: e_br longname: Emissions of bromine atom units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219192 shortname: e_br2 longname: Emissions of bromine units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219193 shortname: e_brcl longname: Emissions of bromine monochloride units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219194 shortname: e_brono2 longname: Emissions of bromine nitrate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219195 shortname: e_ch2br2 longname: Emissions of dibromomethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219196 shortname: e_ch3o longname: Emissions of methoxy radical units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219197 shortname: e_chbr3 longname: Emissions of tribromomethane units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219198 shortname: e_cloo longname: Emissions of asymmetric chlorine dioxide radical units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219199 shortname: e_h2 longname: Emissions of hydrogen units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219200 shortname: e_hcl longname: Emissions of hydrogen chloride units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219201 shortname: e_hco longname: Emissions of formyl radical units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219202 shortname: e_hf longname: Emissions of hydrogen fluoride units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219203 shortname: e_o longname: Emissions of oxygen atom units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219204 shortname: e_o1d longname: Emissions of excited oxygen atom units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219205 shortname: e_o3p longname: Emissions of ground state oxygen atom units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219206 shortname: e_strataer longname: Emissions of stratospheric aerosol units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219207 shortname: parfire longname: Wildfire flux of paraffins units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219208 shortname: olefire longname: Wildfire flux of olefines units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219209 shortname: ald2fire longname: Wildfire flux of aldehydes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219210 shortname: ketfire longname: Wildfire flux of ketones units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219211 shortname: apifire longname: Wildfire flux of f a-pinene cyclic terpenes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219212 shortname: tolfire longname: Wildfire flux of toluene less reactive aromatics units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219213 shortname: xylfire longname: Wildfire flux of xylene more reactive aromatics units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219214 shortname: limfire longname: Wildfire flux of d-limonene cyclic diene units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219215 shortname: oltfire longname: Wildfire flux of terminal alkenes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219216 shortname: hc3fire longname: Wildfire flux of alkanes low oh rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219217 shortname: hc5fire longname: Wildfire flux of alkanes med oh rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219218 shortname: hc8fire longname: Wildfire flux of alkanes high oh rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219219 shortname: hcnfire longname: Wildfire flux of hydrogen cyanide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219220 shortname: ch3cnfire longname: Wildfire flux of acetonitrile units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219221 shortname: e_VSO2 longname: Atmosphere emission mass flux of Volcanic sulfur dioxide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219222 shortname: e_AROO2 longname: Atmosphere emission mass flux of Aromatic peroxy radical units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219223 shortname: e_C2H2 longname: Atmosphere emission mass flux of Ethyne units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219224 shortname: e_CH3CN longname: Atmosphere emission mass flux of Acetonitrile units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219225 shortname: e_CH3O2NO2 longname: Atmosphere emission mass flux of Methyl peroxy nitrate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219226 shortname: e_HCN longname: Atmosphere emission mass flux of Hydrogen cyanide units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219227 shortname: e_HPALD1 longname: Atmosphere emission mass flux of Hydroperoxy aldehydes type 1 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219228 shortname: e_HPALD2 longname: Atmosphere emission mass flux of Hydroperoxy aldehydes type 2 units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219229 shortname: e_ISOPBO2 longname: Atmosphere emission mass flux of Isoprene peroxy type B units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219230 shortname: e_ISOPDO2 longname: Atmosphere emission mass flux of Isoprene peroxy type D units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 219 mars_request_context: [] - id: 219231 shortname: e_VOCA longname: Atmosphere emission mass flux of Anthropogenic volatile organic compounds units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 219232 shortname: e_VOCBB longname: Atmosphere emission mass flux of Biomass burning volatile organic compounds units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 219 mars_request_context: [] - id: 220228 shortname: tpoc longname: Total precipitation observation count units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 220 mars_request_context: [] - id: 221001 shortname: dv_go3 longname: Ozone deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221002 shortname: dv_nox longname: Nitrogen oxides deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221003 shortname: dv_h2o2 longname: Hydrogen peroxide deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221004 shortname: dv_ch4 longname: Methane deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221005 shortname: dv_co longname: Carbon monoxide deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221006 shortname: dv_hno3 longname: Nitric acid deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221007 shortname: dv_ch3ooh longname: Methyl peroxide deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221008 shortname: dv_hcho longname: Formaldehyde deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221009 shortname: dv_par longname: Paraffins deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221010 shortname: dv_c2h4 longname: Ethene deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221011 shortname: dv_ole longname: Olefins deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221012 shortname: dv_ald2 longname: Aldehydes deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221013 shortname: dv_pan longname: Peroxyacetyl nitrate deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221014 shortname: dv_rooh longname: Peroxides deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221015 shortname: dv_onit longname: Organic nitrates deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221016 shortname: dv_c5h8 longname: Isoprene deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221017 shortname: dv_so2 longname: Sulfur dioxide deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221018 shortname: dv_dms longname: Dimethyl sulfide deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221019 shortname: dv_nh3 longname: Ammonia deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221020 shortname: dv_so4 longname: Sulfate deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221021 shortname: dv_nh4 longname: Ammonium deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221022 shortname: dv_msa longname: Methane sulfonic acid deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221023 shortname: dv_ch3cocho longname: Methyl glyoxal deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221024 shortname: dv_o3s longname: Stratospheric ozone deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221025 shortname: dv_ra longname: Radon deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221026 shortname: dv_pb longname: Lead deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221027 shortname: dv_no longname: Nitrogen monoxide deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221028 shortname: dv_ho2 longname: Hydroperoxy radical deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221029 shortname: dv_ch3o2 longname: Methylperoxy radical deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221030 shortname: dv_oh longname: Hydroxyl radical deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221031 shortname: dv_no2 longname: Nitrogen dioxide deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221032 shortname: dv_no3 longname: Nitrate radical deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221033 shortname: dv_n2o5 longname: Dinitrogen pentoxide deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221034 shortname: dv_ho2no2 longname: Pernitric acid deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221035 shortname: dv_c2o3 longname: Peroxy acetyl radical deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221036 shortname: dv_ror longname: Organic ethers deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221037 shortname: dv_rxpar longname: PAR budget corrector deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221038 shortname: dv_xo2 longname: NO to NO2 operator deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221039 shortname: dv_xo2n longname: NO to alkyl nitrate operator deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221040 shortname: dv_nh2 longname: Amine deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221041 shortname: dv_psc longname: Polar stratospheric cloud deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221042 shortname: dv_ch3oh longname: Methanol deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221043 shortname: dv_hcooh longname: Formic acid deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221044 shortname: dv_mcooh longname: Methacrylic acid deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221045 shortname: dv_c2h6 longname: Ethane deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221046 shortname: dv_c2h5oh longname: Ethanol deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221047 shortname: dv_c3h8 longname: Propane deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221048 shortname: dv_c3h6 longname: Propene deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221049 shortname: dv_c10h16 longname: Terpenes deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221050 shortname: dv_ispd longname: Methacrolein MVK deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221051 shortname: dv_no3_a longname: Nitrate deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221052 shortname: dv_ch3coch3 longname: Acetone deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221053 shortname: dv_aco2 longname: Acetone product deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221054 shortname: dv_ic3h7o2 longname: IC3H7O2 deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221055 shortname: dv_hypropo2 longname: HYPROPO2 deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221056 shortname: dv_noxa longname: Nitrogen oxides Transp deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221057 shortname: dv_co2_c longname: Dry deposition velocity of carbon dioxide (chemistry) units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221058 shortname: dv_n2o_c longname: Dry deposition velocity of nitrous oxide (chemistry) units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221059 shortname: dv_h2o longname: Dry deposition velocity of water vapour (chemistry) units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221060 shortname: dv_o2 longname: Dry deposition velocity of oxygen units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221061 shortname: dv_o2_1s longname: Dry deposition velocity of singlet oxygen units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221062 shortname: dv_o2_1d longname: Dry deposition velocity of singlet delta oxygen units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221063 shortname: dv_oclo longname: Dry deposition velocity of chlorine dioxide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221064 shortname: dv_clono2 longname: Dry deposition velocity of chlorine nitrate units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221065 shortname: dv_hocl longname: Dry deposition velocity of hypochlorous acid units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221066 shortname: dv_cl2 longname: Dry deposition velocity of chlorine units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221067 shortname: dv_clno2 longname: Dry deposition velocity of nitryl chloride units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221068 shortname: dv_hbr longname: Dry deposition velocity of hydrogen bromide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221069 shortname: dv_cl2o2 longname: Dry deposition velocity of dichlorine dioxide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221070 shortname: dv_hobr longname: Dry deposition velocity of hypobromous acid units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221071 shortname: dv_cfc11 longname: Dry deposition velocity of trichlorofluoromethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221072 shortname: dv_cfc12 longname: Dry deposition velocity of dichlorodifluoromethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221073 shortname: dv_cfc113 longname: Dry deposition velocity of trichlorotrifluoroethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221074 shortname: dv_cfc114 longname: Dry deposition velocity of dichlorotetrafluoroethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221075 shortname: dv_cfc115 longname: Dry deposition velocity of chloropentafluoroethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221076 shortname: dv_ccl4 longname: Dry deposition velocity of tetrachloromethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221077 shortname: dv_ch3ccl3 longname: Dry deposition velocity of methyl chloroform units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221078 shortname: dv_ch3cl longname: Dry deposition velocity of methyl chloride units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221079 shortname: dv_hcfc22 longname: Dry deposition velocity of chlorodifluoromethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221080 shortname: dv_ch3br longname: Dry deposition velocity of methyl bromide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221081 shortname: dv_ha1202 longname: Dry deposition velocity of dibromodifluoromethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221082 shortname: dv_ha1211 longname: Dry deposition velocity of bromochlorodifluoromethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221083 shortname: dv_ha1301 longname: Dry deposition velocity of trifluorobromomethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221084 shortname: dv_ha2402 longname: Dry deposition velocity of cbrf2cbrf2 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221085 shortname: dv_h2so4 longname: Dry deposition velocity of sulfuric acid units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221086 shortname: dv_hono longname: Dry deposition velocity of nitrous acid units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221087 shortname: dv_hc3 longname: Dry deposition velocity of alkanes low oh rate units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221088 shortname: dv_hc5 longname: Dry deposition velocity of alkanes med oh rate units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221089 shortname: dv_hc8 longname: Dry deposition velocity of alkanes high oh rate units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221090 shortname: dv_olt longname: Dry deposition velocity of terminal alkenes units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221091 shortname: dv_oli longname: Dry deposition velocity of internal alkenes units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221092 shortname: dv_c2h5o2 longname: Dry deposition velocity of ethylperoxy radical units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221093 shortname: dv_dien longname: Dry deposition velocity of butadiene units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221094 shortname: dv_c2h5ooh longname: Dry deposition velocity of ethyl hydroperoxide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221095 shortname: dv_api longname: Dry deposition velocity of a-pinene cyclic terpenes units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221096 shortname: dv_ch3cooh longname: Dry deposition velocity of acetic acid units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221097 shortname: dv_lim longname: Dry deposition velocity of d-limonene cyclic diene units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221098 shortname: dv_ch3cho longname: Dry deposition velocity of acetaldehyde units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221099 shortname: dv_tol longname: Dry deposition velocity of toluene and less reactive aromatics units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221100 shortname: dv_xyl longname: Dry deposition velocity of xylene and more reactive aromatics units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221101 shortname: dv_glyald longname: Dry deposition velocity of glycolaldehyde units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221102 shortname: dv_cresol longname: Dry deposition velocity of cresol units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221103 shortname: dv_ald longname: Dry deposition velocity of acetaldehyde and higher units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221104 shortname: dv_ch3coooh longname: Dry deposition velocity of peracetic acid units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221105 shortname: dv_ket longname: Dry deposition velocity of ketones units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221106 shortname: dv_eo2 longname: Dry deposition velocity of hoch2ch2o2 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221107 shortname: dv_glyoxal longname: Dry deposition velocity of glyoxal units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221108 shortname: dv_eo longname: Dry deposition velocity of hoch2ch2o units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221109 shortname: dv_dcb longname: Dry deposition velocity of unsaturated dicarbonyls units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221110 shortname: dv_macr longname: Dry deposition velocity of methacrolein units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221111 shortname: dv_udd longname: Dry deposition velocity of unsaturated hydroxy dicarbonyl units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221112 shortname: dv_c3h7o2 longname: Dry deposition velocity of isopropyldioxidanyl units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221113 shortname: dv_hket longname: Dry deposition velocity of hydroxy ketone units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221114 shortname: dv_c3h7ooh longname: Dry deposition velocity of isopropyl hydroperoxide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221115 shortname: dv_po2 longname: Dry deposition velocity of c3h6oho2 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221116 shortname: dv_pooh longname: Dry deposition velocity of c3h6ohooh units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221117 shortname: dv_op2 longname: Dry deposition velocity of higher organic peroxides units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221118 shortname: dv_hyac longname: Dry deposition velocity of hydroxyacetone units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221119 shortname: dv_paa longname: Dry deposition velocity of peroxyacetic acid units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221120 shortname: dv_ro2 longname: Dry deposition velocity of ch3coch2o2 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221121 shortname: dv_ethp longname: Dry deposition velocity of peroxy radical from c2h6 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221122 shortname: dv_hc3p longname: Dry deposition velocity of peroxy radical from hc3 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221123 shortname: dv_hc5p longname: Dry deposition velocity of peroxy radical from hc5 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221124 shortname: dv_bigene longname: Dry deposition velocity of lumped alkenes units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221125 shortname: dv_hc8p longname: Dry deposition velocity of peroxy radical from hc8 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221126 shortname: dv_bigalk longname: Dry deposition velocity of lumped alkanes units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221127 shortname: dv_etep longname: Dry deposition velocity of peroxy radical from c2h4 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221128 shortname: dv_mek longname: Dry deposition velocity of c4h8o units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221129 shortname: dv_oltp longname: Dry deposition velocity of peroxy radical from terminal alkenes units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221130 shortname: dv_eneo2 longname: Dry deposition velocity of c4h9o3 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221131 shortname: dv_olip longname: Dry deposition velocity of peroxy radical from internal alkenes units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221132 shortname: dv_meko2 longname: Dry deposition velocity of ch3coch(oo)ch3 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221133 shortname: dv_isopo2 longname: Dry deposition velocity of peroxy radical from c5h8 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221134 shortname: dv_mekooh longname: Dry deposition velocity of ch3coch(ooh)ch3 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221135 shortname: dv_apip longname: Dry deposition velocity of peroxy radical from a-pinene cyclic terpenes units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221136 shortname: dv_mco3 longname: Dry deposition velocity of ch2=c(ch3)co3 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221137 shortname: dv_limp longname: Dry deposition velocity of peroxy radical from d-limonene cyclic diene units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221138 shortname: dv_mvk longname: Dry deposition velocity of methylvinylketone units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221139 shortname: dv_pho longname: Dry deposition velocity of phenoxy radical units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221140 shortname: dv_tolp longname: Dry deposition velocity of peroxy radical from toluene and less reactive aromatics units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221141 shortname: dv_macro2 longname: Dry deposition velocity of ch3c(o)ch(oo)ch2oh units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221142 shortname: dv_xylp longname: Dry deposition velocity of peroxy radical from xylene and more reactive aromatics units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221143 shortname: dv_macrooh longname: Dry deposition velocity of h3c(o)ch(ooh)ch2oh units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221144 shortname: dv_cslp longname: Dry deposition velocity of peroxy radical from cresol units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221145 shortname: dv_mpan longname: Dry deposition velocity of unsaturated pans units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221146 shortname: dv_tco3_c longname: Dry deposition velocity of unsaturated acyl peroxy radical units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221147 shortname: dv_ketp longname: Dry deposition velocity of peroxy radical from ketones units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221148 shortname: dv_alko2 longname: Dry deposition velocity of c5h11o2 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221149 shortname: dv_olnn longname: Dry deposition velocity of no3-alkenes adduct reacting to form carbonitrates units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221150 shortname: dv_alkooh longname: Dry deposition velocity of c5h11ooh units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221151 shortname: dv_olnd longname: Dry deposition velocity of no3-alkenes adduct reacting via decomposition units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221152 shortname: dv_bigald longname: Dry deposition velocity of hoch2c(ch3)=chcho units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221153 shortname: dv_hydrald longname: Dry deposition velocity of c5h6o2 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221154 shortname: dv_sulf longname: Dry deposition velocity of trop sulfuric acid units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221155 shortname: dv_ox longname: Dry deposition velocity of oxides units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221156 shortname: dv_isopno3 longname: Dry deposition velocity of ch2chc(ch3)(oo)ch2ono2 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221157 shortname: dv_onitr longname: Dry deposition velocity of c3 organic nitrate units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221158 shortname: dv_clox longname: Dry deposition velocity of chlorine oxides units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221159 shortname: dv_brox longname: Dry deposition velocity of bromine oxides units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221160 shortname: dv_xooh longname: Dry deposition velocity of hoch2c(ooh)(ch3)chchoh units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221161 shortname: dv_isopooh longname: Dry deposition velocity of hoch2c(ooh)(ch3)ch=ch2 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221162 shortname: dv_toluene longname: Dry deposition velocity of lumped aromatics units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221163 shortname: dv_dmso longname: Dry deposition velocity of dimethyl sulfoxyde units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221164 shortname: dv_tolo2 longname: Dry deposition velocity of c7h9o5 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221165 shortname: dv_tolooh longname: Dry deposition velocity of c7h10o5 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221166 shortname: dv_h2s longname: Dry deposition velocity of hydrogensulfide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221167 shortname: dv_xoh longname: Dry deposition velocity of c7h10o6 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221168 shortname: dv_noy longname: Dry deposition velocity of all nitrogen oxides units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221169 shortname: dv_cly longname: Dry deposition velocity of chlorine family units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221170 shortname: dv_terpo2 longname: Dry deposition velocity of c10h16(oh)(oo) units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221171 shortname: dv_bry longname: Dry deposition velocity of bromine family units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221172 shortname: dv_terpooh longname: Dry deposition velocity of c10h18o3 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221173 shortname: dv_n longname: Dry deposition velocity of nitrogen atom units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221174 shortname: dv_clo longname: Dry deposition velocity of chlorine monoxide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221175 shortname: dv_cl_c longname: Dry deposition velocity of chlorine atom units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221176 shortname: dv_bro longname: Dry deposition velocity of bromine monoxide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221177 shortname: dv_h_c longname: Dry deposition velocity of hydrogen atom units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221178 shortname: dv_ch3 longname: Dry deposition velocity of methyl group units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221179 shortname: dv_addt longname: Dry deposition velocity of aromatic-ho from toluene and less reactive aromatics units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221180 shortname: dv_addx longname: Dry deposition velocity of aromatic-ho from xylene and more reactive aromatics units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221181 shortname: dv_nh4no3 longname: Dry deposition velocity of ammonium nitrate units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221182 shortname: dv_addc longname: Dry deposition velocity of aromatic-ho from csl units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221183 shortname: dv_soa1 longname: Dry deposition velocity of secondary organic aerosol type 1 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221184 shortname: dv_soa2a longname: Dry deposition velocity of secondary organic aerosol type 2a units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221185 shortname: dv_soa2b longname: Dry deposition velocity of secondary organic aerosol type 2b units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221186 shortname: dv_sog1 longname: Dry deposition velocity of condensable gas type 1 units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221187 shortname: dv_sog2a longname: Dry deposition velocity of condensable gas type 2a units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221188 shortname: dv_sog2b longname: Dry deposition velocity of condensable gas type 2b units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221189 shortname: dv_so3 longname: Dry deposition velocity of sulfur trioxide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221190 shortname: dv_ocs_c longname: Dry deposition velocity of carbonyl sulfide units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221191 shortname: dv_br longname: Dry deposition velocity of bromine atom units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221192 shortname: dv_br2 longname: Dry deposition velocity of bromine units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221193 shortname: dv_brcl longname: Dry deposition velocity of bromine monochloride units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221194 shortname: dv_brono2 longname: Dry deposition velocity of bromine nitrate units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221195 shortname: dv_ch2br2 longname: Dry deposition velocity of dibromomethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221196 shortname: dv_ch3o longname: Dry deposition velocity of methoxy radical units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221197 shortname: dv_chbr3 longname: Dry deposition velocity of tribromomethane units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221198 shortname: dv_cloo longname: Dry deposition velocity of asymmetric chlorine dioxide radical units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221199 shortname: dv_h2 longname: Dry deposition velocity of hydrogen units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221200 shortname: dv_hcl longname: Dry deposition velocity of hydrogen chloride units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221201 shortname: dv_hco longname: Dry deposition velocity of formyl radical units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221202 shortname: dv_hf longname: Dry deposition velocity of hydrogen fluoride units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221203 shortname: dv_o longname: Dry deposition velocity of oxygen atom units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221204 shortname: dv_o1d longname: Dry deposition velocity of excited oxygen atom units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221205 shortname: dv_o3p longname: Dry deposition velocity of ground state oxygen atom units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221206 shortname: dv_strataer longname: Dry deposition velocity of stratospheric aerosol units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221221 shortname: dv_VSO2 longname: Dry deposition velocity of Volcanic sulfur dioxide units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221222 shortname: dv_AROO2 longname: Dry deposition velocity of Aromatic peroxy radical units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221223 shortname: dv_C2H2 longname: Dry deposition velocity of Ethyne units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221224 shortname: dv_CH3CN longname: Dry deposition velocity of Acetonitrile units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221225 shortname: dv_CH3O2NO2 longname: Dry deposition velocity of Methyl peroxy nitrate units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221226 shortname: dv_HCN longname: Dry deposition velocity of Hydrogen cyanide units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221227 shortname: dv_HPALD1 longname: Dry deposition velocity of Hydroperoxy aldehydes type 1 units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221228 shortname: dv_HPALD2 longname: Dry deposition velocity of Hydroperoxy aldehydes type 2 units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221229 shortname: dv_ISOPBO2 longname: Dry deposition velocity of Isoprene peroxy type B units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221230 shortname: dv_ISOPDO2 longname: Dry deposition velocity of Isoprene peroxy type D units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 221 mars_request_context: [] - id: 221231 shortname: dv_VOCA longname: Dry deposition velocity of Anthropogenic volatile organic compounds units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 221232 shortname: dv_VOCBB longname: Dry deposition velocity of Biomass burning volatile organic compounds units: m s**-1 description: null access_ids: [] origin_ids: - 98 table: 221 mars_request_context: [] - id: 222001 shortname: acc_dry_depm_O3 longname: Time-integrated dry deposition mass flux of Ozone units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 222 mars_request_context: - *id040 - id: 222003 shortname: acc_dry_depm_H2O2 longname: Time-integrated dry deposition mass flux of Hydrogen peroxide units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222005 shortname: acc_dry_depm_CO longname: Time-integrated dry deposition mass flux of Carbon monoxide units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222006 shortname: acc_dry_depm_HNO3 longname: Time-integrated dry deposition mass flux of Nitric acid units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 222 mars_request_context: - *id040 - id: 222007 shortname: acc_dry_depm_CH3OOH longname: Time-integrated dry deposition mass flux of Methyl peroxide units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222008 shortname: acc_dry_depm_HCHO longname: Time-integrated dry deposition mass flux of Formaldehyde units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222012 shortname: acc_dry_depm_ALD2 longname: Time-integrated dry deposition mass flux of Aldehydes units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222013 shortname: acc_dry_depm_PAN longname: Time-integrated dry deposition mass flux of Peroxyacetyl nitrate units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 222 mars_request_context: - *id040 - id: 222014 shortname: acc_dry_depm_ROOH longname: Time-integrated dry deposition mass flux of Peroxides units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222015 shortname: acc_dry_depm_ONIT longname: Time-integrated dry deposition mass flux of Organic nitrates units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 222 mars_request_context: - *id040 - id: 222016 shortname: acc_dry_depm_C5H8 longname: Time-integrated dry deposition mass flux of Isoprene units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222017 shortname: acc_dry_depm_SO2 longname: Time-integrated dry deposition mass flux of Sulphur dioxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 222 mars_request_context: - *id040 - id: 222019 shortname: acc_dry_depm_NH3 longname: Time-integrated dry deposition mass flux of Ammonia units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 222 mars_request_context: - *id040 - id: 222020 shortname: acc_dry_depm_SO4 longname: Time-integrated dry deposition mass flux of Sulfate units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222021 shortname: acc_dry_depm_NH4 longname: Time-integrated dry deposition mass flux of Ammonium units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222023 shortname: acc_dry_depm_CH3COCHO longname: Time-integrated dry deposition mass flux of Methyl glyoxal units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222024 shortname: acc_dry_depm_O3S longname: Time-integrated dry deposition mass flux of Ozone (stratospheric) units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 222 mars_request_context: [] - id: 222027 shortname: acc_dry_depm_NO longname: Time-integrated dry deposition mass flux of Nitrogen monoxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 222 mars_request_context: - *id040 - id: 222028 shortname: acc_dry_depm_HO2 longname: Time-integrated dry deposition mass flux of Hydroperoxy radical units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222029 shortname: acc_dry_depm_CH3O2 longname: Time-integrated dry deposition mass flux of Methylperoxy radical units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222031 shortname: acc_dry_depm_NO2 longname: Time-integrated dry deposition mass flux of Nitrogen dioxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 222 mars_request_context: - *id040 - id: 222032 shortname: acc_dry_depm_NO3 longname: Time-integrated dry deposition mass flux of Nitrate radical units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222033 shortname: acc_dry_depm_N2O5 longname: Time-integrated dry deposition mass flux of Dinitrogen pentoxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 222 mars_request_context: - *id040 - id: 222034 shortname: acc_dry_depm_HO2NO2 longname: Time-integrated dry deposition mass flux of Pernitric acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222042 shortname: acc_dry_depm_CH3OH longname: Time-integrated dry deposition mass flux of Methanol units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222043 shortname: acc_dry_depm_HCOOH longname: Time-integrated dry deposition mass flux of Formic acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222044 shortname: acc_dry_depm_MCOOH longname: Time-integrated dry deposition mass flux of Methacrylic acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222045 shortname: acc_dry_depm_C2H6 longname: Time-integrated dry deposition mass flux of Ethane units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222046 shortname: acc_dry_depm_C2H5OH longname: Time-integrated dry deposition mass flux of Ethanol units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222050 shortname: acc_dry_depm_ISPD longname: Time-integrated dry deposition mass flux of Methacrolein units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222051 shortname: acc_dry_depm_NO3_A longname: Time-integrated dry deposition mass flux of Nitrate units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 222 mars_request_context: [] - id: 222052 shortname: acc_dry_depm_CH3COCH3 longname: Time-integrated dry deposition mass flux of Acetone units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222086 shortname: acc_dry_depm_HONO longname: Time-integrated dry deposition mass flux of Nitrous acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222099 shortname: acc_dry_depm_TOL longname: Time-integrated dry deposition mass flux of Toluene and less reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 222 mars_request_context: [] - id: 222100 shortname: acc_dry_depm_XYL longname: Time-integrated dry deposition mass flux of Xylene and more reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 222 mars_request_context: [] - id: 222101 shortname: acc_dry_depm_GLYALD longname: Time-integrated dry deposition mass flux of Glycolaldehyde units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222107 shortname: acc_dry_depm_GLY longname: Time-integrated dry deposition mass flux of Glyoxal units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222118 shortname: acc_dry_depm_HYAC longname: Time-integrated dry deposition mass flux of Hydroxyacetone units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222161 shortname: acc_dry_depm_ISOPOOH longname: Time-integrated dry deposition mass flux of all hydroxy-peroxides products of the reaction of hydroxy-isoprene adducts with O2 units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222224 shortname: acc_dry_depm_CH3CN longname: Time-integrated dry deposition mass flux of Acetonitrile units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 222226 shortname: acc_dry_depm_HCN longname: Time-integrated dry deposition mass flux of Hydrogen cyanide units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 222 mars_request_context: [] - id: 223001 shortname: acc_wet_depm_O3 longname: Time-integrated wet deposition mass flux of Ozone units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223003 shortname: acc_wet_depm_H2O2 longname: Time-integrated wet deposition mass flux of Hydrogen peroxide units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223006 shortname: acc_wet_depm_HNO3 longname: Time-integrated wet deposition mass flux of Nitric acid units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 223 mars_request_context: - *id040 - id: 223007 shortname: acc_wet_depm_CH3OOH longname: Time-integrated wet deposition mass flux of Methyl peroxide units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223008 shortname: acc_wet_depm_HCHO longname: Time-integrated wet deposition mass flux of Formaldehyde units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223012 shortname: acc_wet_depm_ALD2 longname: Time-integrated wet deposition mass flux of Aldehydes units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223013 shortname: acc_wet_depm_PAN longname: Time-integrated wet deposition mass flux of Peroxyacetyl nitrate units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 223 mars_request_context: - *id040 - id: 223014 shortname: acc_wet_depm_ROOH longname: Time-integrated wet deposition mass flux of Peroxides units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223015 shortname: acc_wet_depm_ONIT longname: Time-integrated wet deposition mass flux of Organic nitrates units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 223 mars_request_context: - *id040 - id: 223016 shortname: acc_wet_depm_C5H8 longname: Time-integrated wet deposition mass flux of Isoprene units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223017 shortname: acc_wet_depm_SO2 longname: Time-integrated wet deposition mass flux of Sulphur dioxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 223 mars_request_context: - *id040 - id: 223019 shortname: acc_wet_depm_NH3 longname: Time-integrated wet deposition mass flux of Ammonia units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 223 mars_request_context: - *id040 - id: 223020 shortname: acc_wet_depm_SO4 longname: Time-integrated wet deposition mass flux of Sulfate units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223021 shortname: acc_wet_depm_NH4 longname: Time-integrated wet deposition mass flux of Ammonium units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223022 shortname: acc_wet_depm_MSA longname: Time-integrated wet deposition mass flux of Methane sulfonic acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223023 shortname: acc_wet_depm_CH3COCHO longname: Time-integrated wet deposition mass flux of Methyl glyoxal units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223025 shortname: acc_wet_depm_CO longname: Time-integrated wet deposition mass flux of Carbon monoxide units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223026 shortname: acc_wet_depm_Pb longname: Time-integrated wet deposition mass flux of Lead units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223027 shortname: acc_wet_depm_NO longname: Time-integrated wet deposition mass flux of Nitrogen monoxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 223 mars_request_context: - *id040 - id: 223028 shortname: acc_wet_depm_HO2 longname: Time-integrated wet deposition mass flux of Hydroperoxy radical units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223029 shortname: acc_wet_depm_CH3O2 longname: Time-integrated wet deposition mass flux of Methylperoxy radical units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223031 shortname: acc_wet_depm_NO2 longname: Time-integrated wet deposition mass flux of Nitrogen dioxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 223 mars_request_context: - *id040 - id: 223032 shortname: acc_wet_depm_NO3 longname: Time-integrated wet deposition mass flux of Nitrate radical units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223033 shortname: acc_wet_depm_N2O5 longname: Time-integrated wet deposition mass flux of Dinitrogen pentoxide units: kg m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 223 mars_request_context: - *id040 - id: 223034 shortname: acc_wet_depm_HO2NO2 longname: Time-integrated wet deposition mass flux of Pernitric acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223042 shortname: acc_wet_depm_CH3OH longname: Time-integrated wet deposition mass flux of Methanol units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223043 shortname: acc_wet_depm_HCOOH longname: Time-integrated wet deposition mass flux of Formic acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223044 shortname: acc_wet_depm_MCOOH longname: Time-integrated wet deposition mass flux of Methacrylic acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223045 shortname: acc_wet_depm_C2H6 longname: Time-integrated wet deposition mass flux of Ethane units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223046 shortname: acc_wet_depm_C2H5OH longname: Time-integrated wet deposition mass flux of Ethanol units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223050 shortname: acc_wet_depm_ISPD longname: Time-integrated wet deposition mass flux of Methacrolein units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223051 shortname: acc_wet_depm_NO3_A longname: Time-integrated wet deposition mass flux of Nitrate units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 223 mars_request_context: [] - id: 223052 shortname: acc_wet_depm_CH3COCH3 longname: Time-integrated wet deposition mass flux of Acetone units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223064 shortname: acc_wet_depm_CLONO2 longname: Time-integrated wet deposition mass flux of Chlorine nitrate units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223065 shortname: acc_wet_depm_HOCL longname: Time-integrated wet deposition mass flux of Hypochlorous acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223068 shortname: acc_wet_depm_HBR longname: Time-integrated wet deposition mass flux of Hydrogen bromide units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223070 shortname: acc_wet_depm_HOBR longname: Time-integrated wet deposition mass flux of Hypobromous acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223086 shortname: acc_wet_depm_HONO longname: Time-integrated wet deposition mass flux of Nitrous acid units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223099 shortname: acc_wet_depm_TOL longname: Time-integrated wet deposition mass flux of Toluene and less reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223100 shortname: acc_wet_depm_XYL longname: Time-integrated wet deposition mass flux of Xylene and more reactive aromatics units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223101 shortname: acc_wet_depm_GLYALD longname: Time-integrated wet deposition mass flux of Glycolaldehyde units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223107 shortname: acc_wet_depm_GLY longname: Time-integrated wet deposition mass flux of Glyoxal units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223118 shortname: acc_wet_depm_HYAC longname: Time-integrated wet deposition mass flux of Hydroxyacetone units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223161 shortname: acc_wet_depm_ISOPOOH longname: Time-integrated wet deposition mass flux of all hydroxy-peroxides products of the reaction of hydroxy-isoprene adducts with O2 units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223186 shortname: acc_wet_depm_SOG1 longname: Time-integrated wet deposition mass flux of Condensable gas type 1 units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 223 mars_request_context: [] - id: 223187 shortname: acc_wet_depm_SOG2A longname: Time-integrated wet deposition mass flux of Condensable gas type 2a units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 223 mars_request_context: [] - id: 223188 shortname: acc_wet_depm_SOG2B longname: Time-integrated wet deposition mass flux of Condensable gas type 2b units: kg m**-2 description: null access_ids: [] origin_ids: - 98 table: 223 mars_request_context: [] - id: 223194 shortname: acc_wet_depm_BRONO2 longname: Time-integrated wet deposition mass flux of Bromine nitrate units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223200 shortname: acc_wet_depm_HCL longname: Time-integrated wet deposition mass flux of Hydrogen chloride units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223224 shortname: acc_wet_depm_CH3CN longname: Time-integrated wet deposition mass flux of Acetonitrile units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223226 shortname: acc_wet_depm_HCN longname: Time-integrated wet deposition mass flux of Hydrogen cyanide units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223227 shortname: acc_wet_depm_HPALD1 longname: Time-integrated wet deposition mass flux of Hydroperoxy aldehydes type 1 units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 223228 shortname: acc_wet_depm_HPALD2 longname: Time-integrated wet deposition mass flux of Hydroperoxy aldehydes type 2 units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 223 mars_request_context: [] - id: 228001 shortname: cin longname: Convective inhibition units: J kg**-1 description: This parameter is a measure of the amount of energy required for convection to commence. If the value of this parameter is too high, then deep, moist convection is unlikely to occur even if the convective available potential energy or convective available potential energy shear are large. CIN values greater than 200 J kg-1 would be considered high.

An atmospheric layer where temperature increases with height (known as a temperature inversion) would inhibit convective uplift and is a situation in which convective inhibition would be large. access_ids: [] origin_ids: - 0 - 7 - 98 table: 228 mars_request_context: [] - id: 228002 shortname: orog longname: Orography units: m description: null access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228003 shortname: zust longname: Friction velocity units: m s**-1 description: Air flowing over a surface exerts a stress that transfers momentum to the surface and slows the wind. This parameter is a theoretical wind speed at the Earth's surface that expresses the magnitude of stress. It is calculated by dividing the surface stress by air density and taking its square root. For turbulent flow, the friction velocity is approximately constant in the lowest few metres of the atmosphere.

This parameter increases with the roughness of the surface. It is used to calculate the way wind changes with height in the lowest levels of the atmosphere. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id040 - *id025 - *id030 - *id033 - id: 228004 shortname: avg_2t longname: Time-mean 2 metre temperature units: K description: null access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: - *id242 - *id243 - *id244 - *id092 - *id093 - *id094 - id: 228005 shortname: avg_10ws longname: Time-mean 10 metre wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: - *id092 - *id093 - *id094 - id: 228006 shortname: meantcc longname: Mean total cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - -90 - -70 - 98 table: 228 mars_request_context: - *id092 - *id093 - *id094 - id: 228007 shortname: dl longname: Lake total depth units: m description: This parameter is the mean depth of inland water bodies (lakes, reservoirs and rivers) and coastal waters. This field is specified from in-situ measurements and indirect estimates and is constant in time.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id022 - *id024 - *id034 - *id025 - *id029 - *id035 - *id030 - *id031 - *id032 - *id036 - *id033 - id: 228008 shortname: lmlt longname: Lake mix-layer temperature units: K description: This parameter is the temperature of the uppermost layer of inland water bodies (lakes, reservoirs and rivers) or coastal waters, that is well mixed and has a near constant temperature with depth (i.e., a uniform distribution of temperature with depth).

The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below. The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

Mixing within the mixed layer can occur when the density of the surface (and near-surface) water is greater than that of the water below. Mixing can also occur through the action of wind on the surface of the lake.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - id: 228009 shortname: lmld longname: Lake mix-layer depth units: m description: This parameter is the thickness of the uppermost layer of inland water bodies (lakes, reservoirs and rivers) or coastal waters, that is well mixed and has a near constant temperature with depth (i.e., a uniform distribution of temperature with depth).

The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below, where temperature changes with depth. The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

Mixing within the mixed layer can occur when the density of the surface (and near-surface) water is greater than that of the water below. Mixing can also occur through the action of wind on the surface of the lake.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228010 shortname: lblt longname: Lake bottom temperature units: K description: This parameter is the temperature of water at the bottom of inland water bodies (lakes, reservoirs, rivers) and coastal waters.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228011 shortname: ltlt longname: Lake total layer temperature units: K description: This parameter is the mean temperature of the total water column in inland water bodies (lakes, reservoirs and rivers) and coastal waters.

The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below, where temperature changes with depth. This parameter is the mean over the two layers.

The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228012 shortname: lshf longname: Lake shape factor units: dimensionless description: This parameter describes the way that temperature changes with depth in the thermocline layer of inland water bodies (lakes, reservoirs and rivers) and coastal waters (i.e., it describes the shape of the vertical temperature profile). It is used to calculate the lake bottom temperature and other lake-related parameters.

The ECMWF Integrated Forecasting System represents inland water bodies and coastal waters with two layers in the vertical, the mixed layer above and the thermocline below, where temperature changes with depth. The upper boundary of the thermocline is located at the mixed layer bottom, and the lower boundary of the thermocline at the lake bottom.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228013 shortname: lict longname: Lake ice surface temperature units: K description: This parameter is the temperature of the uppermost surface of ice on inland water bodies (lakes, reservoirs, and rivers) and coastal waters. That is the temperature at the ice/atmosphere or ice/snow interface.

The ECMWF Integrated Forecasting System represents the formation and melting of ice on lakes. A single ice layer is represented.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228014 shortname: licd longname: Lake ice total depth units: m description: This parameter is the thickness of ice on inland water bodies (lakes, reservoirs and rivers) and coastal waters.

The ECMWF Integrated Forecasting System represents the formation and melting of ice on inland water bodies. A single ice layer is represented. This parameter is the thickness of that ice layer.

ECMWF implemented a lake model in May 2015 to represent the water temperature and lake ice of all the world's major inland water bodies in the Integrated Forecasting System (IFS). The IFS differentiates between (i) ocean water, handled by the ocean model, and (ii) inland water (lakes, reservoirs and rivers) and coastal waters handled by the lake parametrisation. Lake depth and surface area (or fractional cover) are kept constant in time. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id031 - *id054 - *id055 - *id056 - *id057 - *id058 - *id059 - *id032 - *id036 - *id033 - id: 228015 shortname: dndzn longname: Minimum vertical gradient of refractivity inside trapping layer units: m**-1 description: Minimum vertical gradient of atmospheric refractivity inside trapping layer.
A duct layer is an atmospheric layer with a refractivity which leads to a trapping of electromagnetic waves. In a trapping layer the refractivity leads to a bending of EM waves, which is stronger than the earth's curvature. access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228016 shortname: dndza longname: Mean vertical gradient of refractivity inside trapping layer units: m**-1 description: "Minimum vertical gradient of atmospheric refractivity\r\ninside trapping\ \ layer.
A duct layer is an atmospheric layer with a refractivity which leads\ \ to a trapping of electromagnetic waves. In a trapping layer the refractivity\ \ leads to a bending of EM waves, which is stronger than the earth's curvature." access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228017 shortname: dctb longname: Duct base height units: m description: Duct base height as diagnosed from vertical gradient of atmospheric refractivity.
A duct layer is an atmospheric layer with a refractivity which leads to a trapping of electromagnetic waves. In a trapping layer the refractivity leads to a bending of EM waves, which is stronger than the earth's curvature. access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228018 shortname: tplb longname: Trapping layer base height units: m description: "Trapping layer base height as diagnosed from vertical\r\ngradient\ \ of atmospheric refractivity.
A duct layer is an atmospheric layer with a\ \ refractivity which leads to a trapping of electromagnetic waves. In a trapping\ \ layer the refractivity leads to a bending of EM waves, which is stronger than\ \ the earth's curvature." access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228019 shortname: tplt longname: Trapping layer top height units: m description: "Trapping layer top height as diagnosed from vertical\r\ngradient of\ \ atmospheric refractivity.
A duct layer is an atmospheric layer with a refractivity\ \ which leads to a trapping of electromagnetic waves. In a trapping layer the\ \ refractivity leads to a bending of EM waves, which is stronger than the earth's\ \ curvature." access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228020 shortname: degm10l longname: Geometric height of -10 degrees C atmospheric isothermal level above ground units: m description: "The height above the Earth's surface where the temperature crosses\ \ the -10 degree isotherm. If more than one crossing is encountered, then the\ \ -10 degree level corresponds to the top of the second atmospheric layer.\r\n\ This parameter is set to zero when the temperature in the whole atmosphere is\ \ below -10 degrees C." access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id028 - *id030 - *id033 - id: 228021 shortname: fdir longname: Surface direct short-wave (solar) radiation units: J m**-2 description:

This parameter is the amount of direct solar radiation (also known as shortwave radiation) reaching the surface of the Earth. It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation). See further documentation.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards.

access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228022 shortname: cdir longname: Surface direct short-wave radiation, clear sky units: J m**-2 description: This parameter is the amount of direct radiation from the Sun (also known as solar or shortwave radiation) reaching the surface of the Earth, assuming clear-sky (cloudless) conditions. It is the amount of radiation passing through a horizontal plane, not a plane perpendicular to the direction of the Sun.

Solar radiation at the surface can be direct or diffuse. Solar radiation can be scattered in all directions by particles in the atmosphere, some of which reaches the surface (diffuse solar radiation). Some solar radiation reaches the surface without being scattered (direct solar radiation). See further documentation.

Clear-sky radiation quantities are computed for exactly the same atmospheric conditions of temperature, humidity, ozone, trace gases and aerosol as the corresponding total-sky quantities (clouds included), but assuming that the clouds are not there.

This parameter is accumulated over a particular time period which depends on the data extracted. The units are joules per square metre (J m-2). To convert to watts per square metre (W m-2), the accumulated values should be divided by the accumulation period expressed in seconds.

The ECMWF convention for vertical fluxes is positive downwards. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228023 shortname: cbh longname: Cloud base height units: m description: The height above the Earth's surface of the base of the lowest cloud layer, at the specified time.

This parameter is calculated by searching from the second lowest model level upwards, to the height of the level where cloud fraction becomes greater than 1% and condensate content greater than 1.E-6 kg kg-1. Fog (i.e., cloud in the lowest model layer) is not considered when defining cloud base height. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228024 shortname: deg0l longname: Geometric height of 0 degrees C atmospheric isothermal level above ground units: m description: The height above the Earth's surface where the temperature passes from positive to negative values, corresponding to the top of a warm layer, at the specified time. This parameter can be used to help forecast snow.

If more than one warm layer is encountered, then the zero degree level corresponds to the top of the second atmospheric layer.

This parameter is set to zero when the temperature in the whole atmosphere is below 0℃. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228025 shortname: hvis longname: Horizontal visibility units: m description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228026 shortname: mx2t3 longname: Maximum temperature at 2 metres in the last 3 hours units: K description: The highest value of 2 metre temperature in the previous 3 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information .

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id125 - *id126 - *id028 - *id030 - *id033 - id: 228027 shortname: mn2t3 longname: Minimum temperature at 2 metres in the last 3 hours units: K description: The lowest value of 2 metre temperature in the previous 3 hour period.

2m temperature is calculated by interpolating between the lowest model level and the Earth's surface, taking account of the atmospheric conditions. See further information.

This parameter has units of kelvin (K). Temperature measured in kelvin can be converted to degrees Celsius (°C) by subtracting 273.15. access_ids: - dissemination origin_ids: - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id125 - *id126 - *id028 - *id030 - *id033 - id: 228028 shortname: 10fg3 longname: Maximum 10 metre wind gust in the last 3 hours units: m s**-1 description: This parameter is the maximum wind gust in the last 3 hours at a height of ten metres above the surface of the Earth.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step during the last 3 hours.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228029 shortname: i10fg longname: Instantaneous 10 metre wind gust units: m s**-1 description: This parameter is the maximum wind gust at the specified time, at a height of ten metres above the surface of the Earth.

The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step , and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228030 shortname: rhw longname: Relative humidity with respect to water units: '%' description: The relative humidity with respect to water of moist air at pressure p and temperature T is the ratio in per cent of the vapour mole fraction xv to the vapour mole fraction xvw which the air would have if it were saturated with respect to water at the same pressure p and temperature T access_ids: [] origin_ids: - 0 table: 228 mars_request_context: [] - id: 228031 shortname: rhi longname: Relative humidity with respect to ice units: '%' description: The relative humidity with respect to ice of moist air at pressure p and temperature T is the ratio in per cent of the vapour mole fraction xv to the vapour mole fraction xvi which the air would have if it were saturated with respect to ice at the same pressure p and temperature T access_ids: [] origin_ids: - 0 table: 228 mars_request_context: [] - id: 228032 shortname: asn longname: Snow albedo units: '%' description: 'The broadband albedo of snow.
[NOTE: See 32 for the equivalent parameter in "(0-1)"]' access_ids: [] origin_ids: - -40 - -20 - 0 table: 228 mars_request_context: [] - id: 228034 shortname: fcpc longname: Fraction of convective precipitation cover units: Proportion description: Horizontal fraction of the grid box covered by convective precipitation access_ids: [] origin_ids: - 0 table: 228 mars_request_context: [] - id: 228035 shortname: mxcape6 longname: Maximum CAPE in the last 6 hours units: J kg**-1 description:

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

The maximum CAPE (convective available potential energy) value that has occurred over the last 6 hours.

CAPE is an indication of the instability (or stability) of the atmosphere and can be used to assess the potential for the development of deep convection. When air rises through a large depth of the atmosphere, extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result. 

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228036 shortname: mxcapes6 longname: Maximum CAPES in the last 6 hours units: m**2 s**-2 description:

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

The maximum CAPES (convective available potential energy shear) value that has occurred over the last 6 hours.

High values of CAPES indicate where deep, organised convection is more likely to occur, if it is initiated. When air rises through a large depth of the atmosphere, extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result. 

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228037 shortname: 2rhw longname: 2 metre relative humidity with respect to water units: '%' description: See 228030 access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228038 shortname: lwcs longname: Liquid water content in snow pack units: kg m**-2 description: This parameter represent the liquid water content in snow pack, i.e. the amount of water in its liquid form (not frozen/snowflake/etc). This is an indicator of how "wet" the snow is. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id166 - *id167 - *id168 - *id169 - *id170 - *id171 - *id172 - *id173 - *id174 - *id175 - *id176 - *id177 - *id178 - id: 228039 shortname: sm longname: Soil moisture units: kg m**-3 description:

This GRIB2 encoding is only to be used in TIGGE as it is WMO deprecated. Please use paramId 260368 otherwise.

access_ids: [] origin_ids: - -30 - 0 - 98 table: 228 mars_request_context: [] - id: 228040 shortname: swi1 longname: Soil wetness index in layer 1 units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228041 shortname: swi2 longname: Soil wetness index in layer 2 units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228042 shortname: swi3 longname: Soil wetness index in layer 3 units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228043 shortname: swi4 longname: Soil wetness index in layer 4 units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228044 shortname: capes longname: Convective available potential energy shear units: m**2 s**-2 description:

From 48r1 this parameter is based on most unstable CAPE rather than the previously used surface based CAPE.

High values of this parameter indicate where deep, organised convection is more likely to occur, if it is initiated. When air rises through a large depth of the atmosphere, extensive condensation can occur and heavy rainfall, thunderstorms and other severe weather can result.

The likelihood of severe weather and its level of intensity tend to increase with increasing organisation of convection. Convective supercells are the most prominent example. Such organised areas of convection tend to occur where wind (intensity and/or direction) changes rapidly with height i.e., areas with strong vertical wind shear.

This parameter is the product of wind shear and the square root of convective available potential energy (CAPE). The wind shear denotes bulk shear which is a vector difference of winds at two different heights in the atmosphere (925 hPa and 500 hPa). The square root of CAPE is proportional to the maximum vertical velocity in convective updraughts.

To help determine whether deep, moist convection will be initiated or not, the probability forecast for precipitation (for example) can be used, in conjunction with this parameter.

access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id092 - *id093 - *id094 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228045 shortname: trpp longname: Tropopause pressure units: Pa description: This parameter uses a stability-based definition of the tropopause. The use of this parameter is recommended for the tropical belt (typically +-30 degrees). Outside of this belt the pressure of the surface PV=2 (Potential Vorticity = 2 PV units) provides a more appropriate measure of the tropopause height. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id030 - *id033 - id: 228046 shortname: hcct longname: Height of convective cloud top units: m description: The height above the Earth's surface of the top of convective cloud produced by the ECMWF Integrated Forecasting System convection scheme, at the specified time. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228047 shortname: hwbt0 longname: Height of zero-degree wet-bulb temperature units: m description: "The height above the Earth's surface where the wet-bulb temperature\ \ drops to 0℃, at\ \ the specified time. This parameter can be used to help forecast snow.

The\ \ wet-bulb temperature is the temperature to which the air must drop to become\ \ saturated with moisture (keeping pressure constant and accounting only for latent\ \ heat). It can also be defined as the temperature recorded by a thermometer with\ \ its bulb covered by a wet cloth or wick. The greater the difference between\ \ the dry-bulb and wet-bulb temperature, the lower the humidity.

This\ \ parameter is set to zero when the wet bulb temperature in the whole atmosphere\ \ is below 0℃.\r\n\r\nSee\ \ here for further information." access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228048 shortname: hwbt1 longname: Height of one-degree wet-bulb temperature units: m description: "The height above the Earth's surface where the wet-bulb temperature\ \ drops to 1℃, at\ \ the specified time. This parameter can be used to help forecast snow.

The\ \ wet-bulb temperature is the temperature to which the air must drop to become\ \ saturated with moisture (keeping pressure constant and accounting only for latent\ \ heat). It can also be defined as the temperature recorded by a thermometer with\ \ its bulb covered by a wet cloth or wick. The greater the difference between\ \ the dry-bulb and wet-bulb temperature, the lower the humidity.

This\ \ parameter is set to zero when the wet bulb temperature in the whole atmosphere\ \ is below 1℃.\r\n\r\nSee\ \ here for further information." access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228050 shortname: litoti longname: Instantaneous total lightning flash density units: km**-2 day**-1 description: 'This parameter gives the total lightning flash rate at the specified time. Users should be aware that it is prone to large errors, e.g. due to any spatial and temporal discrepancies between model convection and observed convection.

Note that this parameter has units of flashes per square kilometre per day. Conversion of this parameter to units of flashes per 100 square kilometres per hour can give values that are easier to interpret.

This parameter accounts for cloud-to-ground flashes (between the the cloud and the Earth''s surface) and intra-cloud flashes (between two cloud regions of opposite electric charge). In the ECMWF Integrated Forecasting System, the total lightning flash density is calculated using an empirical formula involving convective cloud and precipitation information, convective available potential energy (CAPE) and convective cloud base height, which are diagnosed by the convection scheme. ' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228051 shortname: litota1 longname: Averaged total lightning flash density in the last hour units: km**-2 day**-1 description: Averaged total (cloud-to-cloud and cloud-to-ground) lightning flash density in the last hour. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id022 - *id023 - *id025 - *id028 - *id030 - *id033 - id: 228052 shortname: licgi longname: Instantaneous cloud-to-ground lightning flash density units: km**-2 day**-1 description: Instantaneous value of cloud-to-ground lightning flash density. access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228053 shortname: licga1 longname: Averaged cloud-to-ground lightning flash density in the last hour units: km**-2 day**-1 description: Averaged cloud-to-ground lightning flash density in the last hour. access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228054 shortname: ucq longname: Unbalanced component of specific humidity units: kg kg**-1 description: 'Unbalanced component of grid-box mean specific humidity.

Residual resulting from subtracting from specific humidity (mass of water vapour / mass of moist air) an approximate "balanced" value derived from relevant variable(s)' access_ids: [] origin_ids: - 0 table: 228 mars_request_context: [] - id: 228055 shortname: ucclwc longname: Unbalanced component of specific cloud liquid water content units: kg kg**-1 description: 'Unbalanced component of grid-box mean specific cloud liquid water content.

Residual resulting from subtracting from specific cloud liquid water content (mass of condensate / mass of moist air) an approximate "balanced" value derived from relevant variable(s)' access_ids: [] origin_ids: - 0 table: 228 mars_request_context: - *id037 - *id038 - *id039 - id: 228056 shortname: ucciwc longname: Unbalanced component of specific cloud ice water content units: kg kg**-1 description: 'Unbalanced component of grid-box mean specific cloud ice water content.

Residual resulting from subtracting from specific cloud ice water content (mass of condensate / mass of moist air) an approximate "balanced" value derived from relevant variable(s)' access_ids: [] origin_ids: - 0 table: 228 mars_request_context: - *id037 - *id038 - *id039 - id: 228057 shortname: litota3 longname: Averaged total lightning flash density in the last 3 hours units: km**-2 day**-1 description: This parameter gives the total lightning flash rate averaged over the last 3 hours.

Note that this parameter has units of flashes per square kilometre per day. Conversion of this parameter to units of flashes per 100 square kilometres per hour can give values that are easier to interpret.

This parameter accounts for cloud-to-ground flashes (between the cloud and the Earth's surface ) and intra-cloud flashes (between two cloud regions of opposite electric charge). In the ECMWF Integrated Forecasting System, the total lightning flash density is calculated using an empirical formula involving convective cloud and precipitation information, convective available potential energy (CAPE) and convective cloud base height, which are diagnosed by the convection scheme. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id022 - *id023 - *id025 - *id028 - *id030 - *id033 - id: 228058 shortname: litota6 longname: Averaged total lightning flash density in the last 6 hours units: km**-2 day**-1 description: 'This parameter gives the total lightning flash rate averaged over the last 6 hours.

Note that this parameter has units of flashes per square kilometre per day. Conversion of this parameter to units of flashes per 100 square kilometres per hour can give values that are easier to interpret.

This parameter accounts for cloud-to-ground flashes (between the cloud and the Earth''s surface ) and intra-cloud flashes (between two cloud regions of opposite electric charge). In the ECMWF Integrated Forecasting System, the total lightning flash density is calculated using an empirical formula involving convective cloud and precipitation information, convective available potential energy (CAPE) and convective cloud base height, which are diagnosed by the convection scheme. ' access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228059 shortname: licga3 longname: Averaged cloud-to-ground lightning flash density in the last 3 hours units: km**-2 day**-1 description: Averaged cloud-to-ground lightning flash density in the last 3 hours. access_ids: [] origin_ids: - 0 table: 228 mars_request_context: [] - id: 228060 shortname: licga6 longname: Averaged cloud-to-ground lightning flash density in the last 6 hours units: km**-2 day**-1 description: Averaged cloud-to-ground lightning flash density in the last 6 hours. access_ids: [] origin_ids: - 0 table: 228 mars_request_context: [] - id: 228070 shortname: smnnob longname: SMOS observed soil moisture retrieved using neural network units: m**3 m**-3 description: Observed soil moisture retrieved from passive microwave using neural network access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228071 shortname: smnner longname: SMOS observed soil moisture uncertainty retrieved using neural network units: m**3 m**-3 description: Observed soil moisture uncertainty retrieved from passive microwave using neural network access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228072 shortname: smnnrfi longname: SMOS radio frequency interference probability units: '%' description: Frequency Interference probability in the observed passive microwave access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228073 shortname: smnnnb longname: SMOS number of observations per grid point units: dimensionless description: Number of soil moisture observations per grid point access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228074 shortname: smnntim longname: SMOS observation time for the satellite soil moisture data units: hour description: Observation time for the satellite soil moisture data access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228078 shortname: gppbfas longname: GPP coefficient from Biogenic Flux Adjustment System units: dimensionless description: "The two parameters \"gppbfas\" and \"recbfas\" are dimensionless re-scaling\ \ factors which are applied to the\nCO2 ecosystem fluxes from the Carbon module\ \ (CTESSEL) in the IFS:\n
    \r\n
  • gppbfas is applied to the Gross Primary Production\ \ (GPP)
    • \r\n
  • recbfas is applied to the ecosystem Respiration (Reco)
    • \n\
\r\nThe factors are used in order to reduce the biases of the CO2 ecosystem\ \ fluxes which are used in the operational CAMS CO2 forecast/analysis.\r\nThey\ \ are currently computed before the beginning of the forecast by comparing the\ \ Net Ecosystem Exchange budget of the model (NEE=GPP+Reco) within a 10-day window\ \ and a reference climatology (based on optimized fluxes) plus/minus the NEE budget\ \ anomaly of the model.\r\nIn the long term, these factors will be adjusted by\ \ the data assimilation system using flux and/or atmospheric CO2 observations." access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228079 shortname: recbfas longname: Rec coefficient from Biogenic Flux Adjustment System units: dimensionless description: 'The two parameters "gppbfas" and "recbfas" are dimensionless re-scaling factors which are applied to the CO2 ecosystem fluxes from the Carbon module (CTESSEL) in the IFS:
  • gppbfas is applied to the Gross Primary Production (GPP)
  • recbfas is applied to the ecosystem Respiration (Reco)
The factors are used in order to reduce the biases of the CO2 ecosystem fluxes which are used in the operational CAMS CO2 forecast/analysis. They are currently computed before the beginning of the forecast by comparing the Net Ecosystem Exchange budget of the model (NEE=GPP+Reco) within a 10-day window and a reference climatology (based on optimized fluxes) plus/minus the NEE budget anomaly of the model. In the long term, these factors will be adjusted by the data assimilation system using flux and/or atmospheric CO2 observations.' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228080 shortname: aco2nee longname: Accumulated Carbon Dioxide Net Ecosystem Exchange units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228081 shortname: aco2gpp longname: Accumulated Carbon Dioxide Gross Primary Production units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228082 shortname: aco2rec longname: Accumulated Carbon Dioxide Ecosystem Respiration units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228083 shortname: fco2nee longname: Carbon dioxide net ecosystem exchange flux units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228084 shortname: fco2gpp longname: Carbon dioxide gross primary production flux units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228085 shortname: fco2rec longname: Carbon dioxide ecosystem respiration flux units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228086 shortname: sm20 longname: Soil moisture top 20 cm units: kg m**-3 description:

The volumetric soil moisture on the top 20cm of the soil layer

Please note that the encodings listed here for s2s are for Time-mean soil moisture top 20 cm. The specific encoding for Time-mean soil moisture top 20 cm can be found in 235113.

access_ids: [] origin_ids: - -40 - 0 table: 228 mars_request_context: [] - id: 228087 shortname: sm100 longname: Soil moisture top 100 cm units: kg m**-3 description:

The volumetric soil moisture on the top 100cm of the soil layer.

Please note that the encodings listed here for s2s are for Time-mean soil moisture top 100 cm. The specific encoding for Time-mean soil moisture top 100 cm can be found in 235114.

access_ids: [] origin_ids: - -40 - 0 table: 228 mars_request_context: [] - id: 228088 shortname: tcslw longname: Total column supercooled liquid water units: kg m**-2 description: 'This parameter is the total amount of supercooled water in a column extending from the surface of the Earth to the top of the atmosphere. Supercooled water is water that exists in liquid form below 0oC. It is common in cold clouds and is important in the formation of precipitation. Also, supercooled water in clouds extending to the surface (i.e., fog) can cause icing/riming of various structures.

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228089 shortname: tcrw longname: Total column rain water units: kg m**-2 description: 'This parameter is the total amount of water in droplets of raindrop size (which can fall to the surface as precipitation) in a column extending from the surface of the Earth to the top of the atmosphere.

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228090 shortname: tcsw longname: Total column snow water units: kg m**-2 description: 'This parameter is the total amount of water in the form of snow (aggregated ice crystals which can fall to the surface as precipitation) in a column extending from the surface of the Earth to the top of the atmosphere.

This parameter represents the area averaged value for a grid box.

Clouds contain a continuum of different sized water droplets and ice particles. The ECMWF Integrated Forecasting System (IFS) cloud scheme simplifies this to represent a number of discrete cloud droplets/particles including: cloud water droplets, raindrops, ice crystals and snow (aggregated ice crystals). The processes of droplet formation, conversion and aggregation are also highly simplified in the IFS.' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id041 - *id040 - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228091 shortname: ccf longname: Canopy cover fraction units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228092 shortname: stf longname: Soil texture fraction units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228093 shortname: swv longname: Volumetric soil moisture units: m**3 m**-3 description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228094 shortname: ist longname: Ice temperature units: K description: '' access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228095 shortname: st20 longname: Soil temperature top 20 cm units: K description:

The average soil temperature on the top 20cm of the soil layer.

Please note that the encodings listed here for S2S are for Time-mean soil temperature top 20 cm. The specific encoding for Time-mean soil temperature top 20 cm can be found in 235115.

access_ids: [] origin_ids: - -40 - 0 table: 228 mars_request_context: [] - id: 228096 shortname: st100 longname: Soil temperature top 100 cm units: K description:

The average soil temperature on the top 100cm of the soil layer

Please note that the encodings listed here for S2S are for Time-mean soil temperature top 100 cm. The specific encoding for Time-mean soil temperature top 100 cm can be found in 235116.

access_ids: [] origin_ids: - -40 - 0 table: 228 mars_request_context: [] - id: 228100 shortname: evatc longname: Evaporation from the top of canopy units: m of water equivalent description: The amount of evaporation from the canopy interception reservoir access_ids: [] origin_ids: - -80 - 98 table: 228 mars_request_context: [] - id: 228101 shortname: evabs longname: Evaporation from bare soil units: m of water equivalent description: The amount of evaporation from bare soil access_ids: [] origin_ids: - -80 - 98 table: 228 mars_request_context: [] - id: 228102 shortname: evaow longname: Evaporation from open water surfaces excluding oceans units: m of water equivalent description: Amount of evaporation from surface water storage like lakes and inundated areas but excluding oceans access_ids: [] origin_ids: - -80 - 98 table: 228 mars_request_context: [] - id: 228103 shortname: evavt longname: Evaporation from vegetation transpiration units: m of water equivalent description: Amount of evaporation from vegetation transpiration. This has the same meaning as root extraction i.e. the amount of water extracted from the different soil layers access_ids: [] origin_ids: - -80 - 98 table: 228 mars_request_context: [] - id: 228104 shortname: e_WLCH4 longname: Atmosphere emission mass flux of Methane from Wetlands units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 228 mars_request_context: [] - id: 228105 shortname: sif740 longname: Solar induced Chlorophyll fluorescence at 740nm units: 10**-6 W m**-2 sr**-1 m**-1 description: null access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228106 shortname: sif755 longname: Solar induced Chlorophyll fluorescence at 755nm units: 10**-6 W m**-2 sr**-1 m**-1 description: null access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228107 shortname: sif771 longname: Solar induced Chlorophyll fluorescence at 771nm units: 10**-6 W m**-2 sr**-1 m**-1 description: null access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228108 shortname: sif757 longname: Solar induced Chlorophyll fluorescence at 757nm units: 10**-6 W m**-2 sr**-1 m**-1 description: null access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228109 shortname: acc_e_WLCH4 longname: Accumulated mass emission of methane from Wetlands units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 table: 228 mars_request_context: [] - id: 228129 shortname: ssrdc longname: Surface short-wave (solar) radiation downward clear-sky units: J m**-2 description: 'clear-sky downward shortwave radiation flux at surface computed from the model radiation scheme ' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id040 - *id025 - *id030 - *id033 - id: 228130 shortname: strdc longname: Surface long-wave (thermal) radiation downward clear-sky units: J m**-2 description: 'clear-sky downward longwave radiation flux at surface computed from the model radiation scheme ' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id040 - *id025 - *id030 - *id033 - id: 228131 shortname: u10n longname: 10 metre u-component of neutral wind units: m s**-1 description: 'This parameter is the eastward component of the ''neutral wind'', at a height of 10 metres above the surface of the Earth.

The neutral wind is calculated from the surface stress and the corresponding roughness length by assuming that the air is neutrally stratified. The neutral wind is slower than the actual wind in stable conditions, and faster in unstable conditions. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on land surface properties or the sea state. ' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id024 - *id025 - *id028 - *id029 - *id030 - *id032 - *id033 - id: 228132 shortname: v10n longname: 10 metre v-component of neutral wind units: m s**-1 description: 'This parameter is the northward component of the ''neutral wind'', at a height of 10 metres above the surface of the Earth.

The neutral wind is calculated from the surface stress and the corresponding roughness length by assuming that the air is neutrally stratified. The neutral wind is slower than the actual wind in stable conditions, and faster in unstable conditions. The neutral wind is, by definition, in the direction of the surface stress. The size of the roughness length depends on land surface properties or the sea state. ' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id024 - *id025 - *id028 - *id029 - *id030 - *id032 - *id033 - id: 228134 shortname: vtnowd longname: V-tendency from non-orographic wave drag units: m s**-2 description: null access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228136 shortname: utnowd longname: U-tendency from non-orographic wave drag units: m s**-2 description: null access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228139 shortname: st longname: Soil temperature units: K description:

This GRIB2 encoding is only to be used in TIGGE as it is WMO deprecated. Please use paramId 260360 otherwise.

access_ids: [] origin_ids: - -30 - 0 - 34 - 98 table: 228 mars_request_context: [] - id: 228141 shortname: sd longname: Snow depth water equivalent units: kg m**-2 description: '

Snow depth water equivalent in kg m**-2 (mm) water equivalent.

Please note that the encodings listed here for s2s & uerra (which includes carra/cerra) include entries for Time-mean snow depth water equivalent. The specific encoding for Time-mean snow depth water equivalent can be found in 235078.

[NOTE: See 141 for the equivalent parameter in "m of water equivalent"]

' access_ids: - dissemination origin_ids: - -40 - -20 - 0 - 34 - 98 table: 228 mars_request_context: - *id166 - *id167 - *id168 - *id169 - *id170 - *id171 - *id172 - *id173 - *id174 - *id175 - *id176 - *id177 - *id178 - id: 228143 shortname: cp longname: Convective precipitation units: kg m**-2 description: 'Precipitation produced by the convection scheme. Accumulated from the beginning of the forecast.
[NOTE: See 143 for the equivalent parameter in "m"]' access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id158 - *id159 - *id160 - id: 228144 shortname: sf longname: Snowfall water equivalent units: kg m**-2 description: '[NOTE: See 144 for the equivalent parameter in "m of water equivalent"]' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id158 - *id159 - *id160 - id: 228164 shortname: tcc longname: Total Cloud Cover units: '%' description: '[NOTE: See 164 for the equivalent parameter in "(0-1)"]' access_ids: - dissemination origin_ids: - -40 - -20 - 0 - 7 - 34 - 98 table: 228 mars_request_context: - *id158 - *id159 - *id160 - id: 228170 shortname: cap longname: Field capacity units: kg m**-3 description: null access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228171 shortname: wilt longname: Wilting point units: kg m**-3 description: null access_ids: [] origin_ids: - 0 - 98 table: 228 mars_request_context: [] - id: 228205 shortname: ro longname: Water runoff and drainage units: kg m**-2 description: Soil total column lateral water flow and bottom soil drainage access_ids: [] origin_ids: - 0 table: 228 mars_request_context: [] - id: 228216 shortname: fzra longname: Accumulated freezing rain units: m description: 'This parameter is the total amount of precipitation falling as freezing rain, accumulated over a particular time period which depends on the data extracted.

Freezing rain occurs when supercooled water droplets (below 0°C but still in liquid form) immediately freeze as they hit the ground (and other surfaces) to form a coating or glaze of clear ice. Freezing rain creates hazardous, extremely slippery surface conditions and can cause disruption to road, rail and air transport. If prolonged, it can damage vegetation and crops and can accumulate on power lines, causing them to collapse.

The units are depth in metres of liquid water equivalent. It is the depth the liquid water would have if it were spread evenly over the grid box. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step
[NOTE: See 231001 for the equivalent parameter in "kg m-2"]' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228217 shortname: ilspf longname: Instantaneous large-scale precipitation fraction units: Proportion description:

This parameter is the fraction of the grid box (0-1) covered by large-scale precipitation at the specified time .

Large-scale precipitation is rain and snow that falls to the Earth's surface, and is generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Precipitation can also be due to convection generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228218 shortname: crr longname: Convective rain rate units: kg m**-2 s**-1 description: This parameter is the rate of rainfall (rainfall intensity), at the specified time , generated by the convection scheme in the ECMWF Integrated Forecasting System (IFS). The convection scheme represents convection at spatial scales smaller than the grid box.

Total rainfall is made up of convective and large-scale rainfall. Large-scale rainfall is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale rainfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid boxor larger. See further information. Rainfall is one component of precipitation. In the IFS, precipitation is rain and snow that falls to the Earth's surface.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228219 shortname: lsrr longname: Large scale rain rate units: kg m**-2 s**-1 description: This parameter is the rate of rainfall (rainfall intensity), at the specified time, generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger.

Rainfall can also be due to convection generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Rainfall is one component of precipitation. In the IFS, precipitation is rain and snow that falls to the Earth's surface.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228220 shortname: csfr longname: Convective snowfall rate water equivalent units: kg m**-2 s**-1 description: This parameter is the rate of snowfall (snowfall intensity), at the specified time, generated by the convection scheme in the ECMWF Integrated Forecasting System (IFS). The convection scheme represents convection at spatial scales smaller than the grid box.

Total snowfall is made up of convective and large-scale snowfall. Large-scale snowfall is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. See further information. Snowfall is one component of precipitation. In the IFS, precipitation is rain and snow that falls to the Earth's surface

Snowfall rate is considered here in terms of its water equivalent. Since 1 kg of water spread over 1 square metre of surface is 1 mm thick (neglecting the effects of temperature on the density of water), the units are equivalent to mm (of liquid water) per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228221 shortname: lssfr longname: Large scale snowfall rate water equivalent units: kg m**-2 s**-1 description: This parameter is the rate of snowfall (snowfall intensity), at the specified time, generated by the cloud scheme in the ECMWF Integrated Forecasting System (IFS). The cloud scheme represents the formation and dissipation of clouds and large-scale snowfall due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger.

Snowfall can also be due to convection generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information. Snowfall is one component of precipitation. In the IFS, precipitation is rain and snow that falls to the Earth's surface

Snowfall rate is considered here in terms of its water equivalent. Since 1 kg of water spread over 1 square metre of surface is 1 mm thick (neglecting the effects of temperature on the density of water), the units are equivalent to mm (of liquid water) per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228222 shortname: mxtpr3 longname: Maximum total precipitation rate in the last 3 hours units: kg m**-2 s**-1 description: The maximum total precipitation rate in the previous 3 hour period. The maximum is calculated from the precipitation rate at each model time step.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information .

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228223 shortname: mntpr3 longname: Minimum total precipitation rate in the last 3 hours units: kg m**-2 s**-1 description: The minimum total precipitation rate in the previous 3 hour period. The minimum is calculated from the precipitation rate at each model time step.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information .

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228224 shortname: mxtpr6 longname: Maximum total precipitation rate in the last 6 hours units: kg m**-2 s**-1 description: The maximum total precipitation rate in the previous 6 hour period. The maximum is calculated from the precipitation rate at each model time step.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228225 shortname: mntpr6 longname: Minimum total precipitation rate in the last 6 hours units: kg m**-2 s**-1 description: The minimum total precipitation rate in the previous 6 hour period. The minimum is calculated from the precipitation rate at each model time step.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box. See further information.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step. access_ids: - dissemination origin_ids: - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228226 shortname: mxtpr longname: Maximum total precipitation rate since previous post-processing units: kg m**-2 s**-1 description: The total precipitation is calculated from the combined large-scale and convective rainfall and snowfall rates every time step and the maximum is kept since the last postprocessing access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228227 shortname: mntpr longname: Minimum total precipitation rate since previous post-processing units: kg m**-2 s**-1 description: The total precipitation is calculated from the combined large-scale and convective rainfall and snowfall rates every time step and the minimum is kept since the last postprocessing access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228228 shortname: tp longname: Total Precipitation units: kg m**-2 description: '[NOTE: See 228 for the equivalent parameter in "m"]' access_ids: - dissemination origin_ids: - 0 - 7 - 98 table: 228 mars_request_context: - *id158 - *id159 - *id160 - id: 228229 shortname: smos_tb_cdfa longname: SMOS first Brightness Temperature Bias Correction parameter units: K description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228230 shortname: smos_tb_cdfb longname: SMOS second Brightness Temperature Bias Correction parameter units: dimensionless description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228231 shortname: mlcape50 longname: Mixed-layer CAPE in the lowest 50 hPa units: J kg**-1 description: Convective Available Potential Energy (CAPE) is a measure of the amount of energy available for convection. It is related to the maximum potential vertical velocity in the updraught. MLCAPE50 refers to CAPE of a pseudoadiabatically ascending air parcel representing the mean conditions in the lowest 50 hPa of the atmosphere. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id028 - *id030 - *id033 - id: 228232 shortname: mlcin50 longname: Mixed-layer CIN in the lowest 50 hPa units: J kg**-1 description: Convective Inhibition (CIN) is a measure of the amount of energy needed to be overcome for storm initiation. CIN reflects the strength of the capping inversion. MLCIN50 refers to CIN of a pseudoadiabatically ascending air parcel representing the mean conditions in the lowest 50 hPa of the atmosphere. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id028 - *id030 - *id033 - id: 228233 shortname: mlcape100 longname: Mixed-layer CAPE in the lowest 100 hPa units: J kg**-1 description: Convective Available Potential Energy (CAPE) is a measure of the amount of energy available for convection. It is related to the maximum potential vertical velocity in the updraught. MLCAPE100 refers to CAPE of a pseudoadiabatically ascending air parcel representing the mean conditions in the lowest 100 hPa of the atmosphere. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id028 - *id030 - *id033 - id: 228234 shortname: mlcin100 longname: Mixed-layer CIN in the lowest 100 hPa units: J kg**-1 description: Convective Inhibition (CIN) is a measure of the amount of energy needed to be overcome for storm initiation. CIN reflects the strength of the capping inversion. MLCIN100 refers to CIN of a pseudoadiabatically ascending air parcel representing the mean conditions in the lowest 100 hPa of the atmosphere. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id028 - *id030 - *id033 - id: 228235 shortname: mucape longname: Most-unstable CAPE units: J kg**-1 description: Convective Available Potential Energy (CAPE) is a measure of the amount of energy available for convection. It is related to the maximum potential vertical velocity in the updraught. In the IFS MUCAPE refers to the most unstable parcel (the parcel with the largest CAPE) found in the atmosphere from the surface up to 350 hPa. For all the model levels in the lowest 60 hPa, 30-hPa mixed-layer parameters are used. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id025 - *id026 - *id027 - *id028 - *id067 - *id030 - *id033 - *id068 - id: 228236 shortname: mucin longname: Most-unstable CIN units: J kg**-1 description: Convective Inhibition (CIN) is a measure of the amount of energy needed to be overcome for storm initiation. CIN reflects the strength of the capping inversion. In the IFS MUCIN refers to the most unstable parcel (the parcel with the largest CAPE) found in the atmosphere from the surface up to 350 hPa. For all the model levels in the lowest 60 hPa, 30-hPa mixed-layer parameters are used. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228237 shortname: mudlp longname: Departure level of the most unstable parcel expressed as Pressure units: Pa description: This represents the vertical level expressed as pressure from which the most unstable parcel (the parcel with the largest CAPE) starts rising. access_ids: - dissemination origin_ids: - 0 table: 228 mars_request_context: - *id028 - *id030 - *id033 - id: 228239 shortname: 200u longname: 200 metre U wind component units: m s**-1 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228240 shortname: 200v longname: 200 metre V wind component units: m s**-1 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id024 - *id034 - *id025 - *id026 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228241 shortname: 200si longname: 200 metre wind speed units: m s**-1 description: '' access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228242 shortname: fdif longname: Surface solar radiation diffuse total sky units: J m**-2 description: Total sky surface flux of diffuse shortwave radiation flux computed from the model radiation scheme access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228243 shortname: cdif longname: Surface solar radiation diffuse clear-sky units: J m**-2 description: Clear-sky surface flux of diffuse shortwave radiation flux computed from the model radiation scheme access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228244 shortname: aldr longname: Surface albedo of direct radiation units: (0 - 1) description: Surface albedo for direct radiation integrated by the radiation scheme computed from the model radiation scheme access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228245 shortname: aldf longname: Surface albedo of diffuse radiation units: (0 - 1) description: Surface albedo for diffuse radiation integrated by the radiation scheme computed from the model radiation scheme access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228246 shortname: 100u longname: 100 metre U wind component units: m s**-1 description: This parameter is the eastward component of the 100 m wind. It is the horizontal speed of air moving towards the east, at a height of 100 metres above the surface of the Earth, in metres per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

This parameter can be combined with the northward component to give the speed and direction of the horizontal 100 m wind. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id158 - *id159 - *id160 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228247 shortname: 100v longname: 100 metre V wind component units: m s**-1 description: This parameter is the northward component of the 100 m wind. It is the horizontal speed of air moving towards the north, at a height of 100 metres above the surface of the Earth, in metres per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

This parameter can be combined with the eastward component to give the speed and direction of the horizontal 100 m wind. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id158 - *id159 - *id160 - *id020 - *id042 - *id043 - *id044 - *id045 - *id021 - *id022 - *id046 - *id047 - *id048 - *id049 - *id023 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id024 - *id034 - *id025 - *id026 - *id050 - *id051 - *id052 - *id053 - *id027 - *id028 - *id029 - *id035 - *id030 - *id032 - *id036 - *id033 - id: 228248 shortname: tccsw longname: Surface short wave-effective total cloudiness units: dimensionless description: "Let SSRD and STRD be the surface downward short-wave and long-wave\ \ radiation at the surface, and SSRDC and STRDC the surface clear-sky downward\ \ short-wave and long-wave radiation at the surface.\r\n\r\nThe short-wave and\ \ long-wave radiation-effective total cloudiness are\r\nthe equivalent cloud fractions\ \ of the sky that would give the surface\r\ndownward radiation, without reference\ \ to any cloud overlap assumption,\r\nany specification (liquid droplets or ice\ \ particles) of cloud particles,\r\nand related cloud optical properties.\r\n\ In particular, TCCSW, the surface short-wave-effective total cloudiness\r\nis\ \ what might be the closest to what the \"person in the street\" could\r\nthink\ \ of as total cloudiness.\r\n\r\nComputationally speaking, TCCSW = 1 - SSRD /\ \ SSRDC\r\nand TCCLW = 1 - STRDC / STRD\r\n\r\n(the difference in the ratios is\ \ due to the fact that, w.r.t. to clear\r\nsky conditions, clouds decrease the\ \ amount of short-wave radiation\r\nusually available at the surface, whereas\ \ clouds actually increase the\r\namount of long-wave radiation available at the\ \ surface)." access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228249 shortname: 100si longname: 100 metre wind speed units: m s**-1 description: This parameter is the horizontal speed of the wind, or movement of air, at a height of 100 m above the surface of the Earth.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.

Two other parameters, the eastward and northward components, can be used to give the direction of the horizontal 100 m wind. access_ids: - dissemination origin_ids: - 0 - 98 table: 228 mars_request_context: - *id163 - *id164 - *id022 - *id023 - *id125 - *id126 - *id028 - *id030 - *id033 - id: 228250 shortname: irrfr longname: Irrigation fraction units: Proportion description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228251 shortname: pev longname: Potential evaporation units: m description: 'This parameter is a measure of the extent to which near-surface atmospheric conditions are conducive to the process of evaporation. It is usually considered to be the amount of evaporation, under existing atmospheric conditions, from a surface of pure water which has the temperature of the lowest layer of the atmosphere and gives an indication of the maximum possible evaporation.

Potential evaporation in the current ECMWF Integrated Forecasting System is based on surface energy balance calculations with the vegetation parameters set to ''crops/mixed farming'' and assuming ''no stress from soil moisture''. In other words, evaporation is computed for agricultural land as if it is well watered and assuming that the atmosphere is not affected by this artificial surface condition. The latter may not always be realistic. Although potential evaporation is meant to provide an estimate of irrigation requirements, the method can give unrealistic results in arid conditions due to too strong evaporation forced by dry air.

This parameter is accumulated over a particular time period which depends on the data extracted.
[NOTE: See 231005 for the equivalent parameter in "kg m-2"]' access_ids: - dissemination origin_ids: - -80 - -70 - -50 - 98 table: 228 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 228252 shortname: irr longname: Irrigation units: m description: '' access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228253 shortname: ascat_sm_cdfa longname: ASCAT first soil moisture CDF matching parameter units: m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228254 shortname: ascat_sm_cdfb longname: ASCAT second soil moisture CDF matching parameter units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 228255 shortname: tcclw longname: Surface long wave-effective total cloudiness units: dimensionless description: "Let SSRD and STRD be the surface downward short-wave and long-wave\ \ radiation at the surface, and SSRDC and STRDC the surface clear-sky downward\ \ short-wave and long-wave radiation at the surface.\r\n\r\nThe short-wave and\ \ long-wave radiation-effective total cloudiness are\r\nthe equivalent cloud fractions\ \ of the sky that would give the surface\r\ndownward radiation, without reference\ \ to any cloud overlap assumption,\r\nany specification (liquid droplets or ice\ \ particles) of cloud particles,\r\nand related cloud optical properties.\r\n\ In particular, TCCSW, the surface short-wave-effective total cloudiness\r\nis\ \ what might be the closest to what the \"person in the street\" could\r\nthink\ \ of as total cloudiness.\r\n\r\nComputationally speaking, TCCSW = 1 - SSRD /\ \ SSRDC\r\nand TCCLW = 1 - STRDC / STRD\r\n\r\n(the difference in the ratios is\ \ due to the fact that, w.r.t. to clear\r\nsky conditions, clouds decrease the\ \ amount of short-wave radiation\r\nusually available at the surface, whereas\ \ clouds actually increase the\r\namount of long-wave radiation available at the\ \ surface)." access_ids: [] origin_ids: - 98 table: 228 mars_request_context: [] - id: 229001 shortname: cur longname: Urban cover units: (0 - 1) description: "This parameter is the fraction of the grid box (0-1) that is covered\ \ with an urban surface.\r\nThis parameter includes all impervious and\r\nartificial\ \ surfaces (e.g. roads, buildings, parking lots, etc.)." access_ids: [] origin_ids: - 0 table: 229 mars_request_context: - *id034 - *id035 - *id036 - id: 229002 shortname: cro longname: Road Cover units: (0 - 1) description: "This parameter is the fraction of the grid box (0-1) that is covered\ \ with a flat impervious surface (including paved areas and bridges).\r\n" access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 229003 shortname: cbu longname: Building cover units: (0 - 1) description: "This parameter is the fraction of the grid box (0-1) that is covered\ \ with an elevated impervious surface (e.g. buildings).\r\n" access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 229004 shortname: bldh longname: Building height units: m description: This parameter contains the mean building height. access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 229005 shortname: hwr longname: Vertical-to-horizontal area ratio units: m**2 m**-2 description: This parameter is the ratio of total building wall area to the plan area of urban cover. access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 229006 shortname: bhstd longname: Standard deviation of building height units: m description: This parameter is the standard deviation of building heights of the grid box access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 229007 shortname: cwe longname: Wetland cover units: (0 - 1) description: This parameter is the fraction of the grid box (0-1) which is inundated. This includes marshes, fens, bogs and swamps but excludes lakes, reservoirs, rivers and coral reefs. access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 229008 shortname: twe longname: Wetland type units: (Code table 4.239) description: "This parameter indicates the 12 types of wetlands recognised by the\ \ ECMWF IFS wetland emissions model. They are used to calculate the wetland methane\ \ fluxes:\r\n1 - Bog\r\n2 - Drained\r\n3 - Fen\r\n4 - Floodplain\r\n5 - Mangrove\r\ \n6 - Marsh\r\n7 - Rice\r\n8 - Riverine\r\n9 - Salt Marsh\r\n10 - Swamp\r\n11\ \ - Upland\r\n12 - Wet Tundra" access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 229009 shortname: cirr longname: Irrigation cover units: (0 - 1) description: This parameter is the fraction of the grid box (0-1) that is subject to irrigation access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 229010 shortname: c4cr longname: C4 crop cover units: (0 - 1) description: This parameter is the fraction of the grid box (0-1) with C4 crops. access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 229011 shortname: c4gr longname: C4 grass cover units: (0 - 1) description: This parameter is the fraction of the grid box (0-1) with C4 grass. access_ids: [] origin_ids: - 0 table: 229 mars_request_context: [] - id: 230008 shortname: srovar longname: Surface runoff (variable resolution) units: m description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230009 shortname: ssrovar longname: Sub-surface runoff (variable resolution) units: m description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230020 shortname: parcsvar longname: Clear sky surface photosynthetically active radiation (variable resolution) units: J m**-2 description: 0.44-0.70 um accumulated field access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230021 shortname: fdirvar longname: Total sky direct solar radiation at surface (variable resolution) units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230022 shortname: cdirvar longname: Clear-sky direct solar radiation at surface (variable resolution) units: J m**-2 description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230044 shortname: esvar longname: Snow evaporation (variable resolution) units: kg m**-2 description: 'Evaporation from snow averaged over the grid box (to find flux over snow, divide by snow fraction) ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230045 shortname: smltvar longname: Snowmelt (variable resolution) units: kg m**-2 description: 'Melting of snow averaged over the grid box (to find melt over snow, divide by snow fraction) ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230046 shortname: sdurvar longname: Solar duration (variable resolution) units: s description: null access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230047 shortname: dsrpvar longname: Direct solar radiation (variable resolution) units: J m**-2 description: Incident on a plane perpendicular to the Sun's direction. Accumulated field access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230050 shortname: lspfvar longname: Large-scale precipitation fraction (variable resolution) units: s description: Fraction of the grid box that is covered by large-scale precipitation. Accumulated field. access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230057 shortname: uvbvar longname: Downward UV radiation at the surface (variable resolution) units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230058 shortname: parvar longname: Photosynthetically active radiation at the surface (variable resolution) units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230080 shortname: aco2neevar longname: Accumulated Carbon Dioxide Net Ecosystem Exchange (variable resolution) units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230081 shortname: aco2gppvar longname: Accumulated Carbon Dioxide Gross Primary Production (variable resolution) units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230082 shortname: aco2recvar longname: Accumulated Carbon Dioxide Ecosystem Respiration (variable resolution) units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230129 shortname: ssrdcvar longname: Surface solar radiation downward clear-sky (variable resolution) units: J m**-2 description: clear-sky downward shortwave radiation flux at surface computed from the model radiation scheme access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230130 shortname: strdcvar longname: Surface thermal radiation downward clear-sky (variable resolution) units: J m**-2 description: clear-sky downward longwave radiation flux at surface computed from the model radiation scheme access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230142 shortname: lspvar longname: Stratiform precipitation (Large-scale precipitation) (variable resolution) units: m description: 'Precipitation from the prognostic cloud scheme (which is also fed by detrained water/ice from convection) ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230143 shortname: cpvar longname: Convective precipitation (variable resolution) units: m description: 'Precipitation from updrafts in convection scheme ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230144 shortname: sfvar longname: Snowfall (convective + stratiform) (variable resolution) units: m of water equivalent description: null access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230145 shortname: bldvar longname: Boundary layer dissipation (variable resolution) units: J m**-2 description: 'Conversion of kinetic energy of the mean flow into heat by turbulent diffusion ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230146 shortname: sshfvar longname: Surface sensible heat flux (variable resolution) units: J m**-2 description: 'Exchange of heat with the surface through turbulent diffusion ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230147 shortname: slhfvar longname: Surface latent heat flux (variable resolution) units: J m**-2 description: Exchange of latent heat with the surface through turbulent diffusion access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230169 shortname: ssrdvar longname: Surface solar radiation downwards (variable resolution) units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230174 shortname: alvar longname: Albedo (variable resolution) units: (0 - 1) description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230175 shortname: strdvar longname: Surface thermal radiation downwards (variable resolution) units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230176 shortname: ssrvar longname: Surface net solar radiation (variable resolution) units: J m**-2 description: 'Net solar radiation at the surface ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230177 shortname: strvar longname: Surface net thermal radiation (variable resolution) units: J m**-2 description: 'Net thermal radiation at the surface ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230178 shortname: tsrvar longname: Top net solar radiation (variable resolution) units: J m**-2 description: 'Net solar radiation at the top of the atmosphere ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230179 shortname: ttrvar longname: Top net thermal radiation (variable resolution) units: J m**-2 description: 'Net thermal radiation at the top of the atmosphere ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230180 shortname: ewssvar longname: East-West surface stress (variable resolution) units: N m**-2 s description: 'East-West surface stress due to to turbulent processes ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230181 shortname: nsssvar longname: North-South surface stress (variable resolution) units: N m**-2 s description: 'North-South surface stress due to to turbulent processes ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230182 shortname: evar longname: Evaporation (variable resolution) units: kg m**-2 description: 'Moisture flux from the surface into the atmosphere ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230189 shortname: sundvar longname: Sunshine duration (variable resolution) units: s description: 'Time that radiation in the direction of the sun is above 120 W/m2 ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230195 shortname: lgwsvar longname: Longitudinal component of gravity wave stress (variable resolution) units: N m**-2 s description: 'East-West component of surface stress due to gravity waves and orographic blocking ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230196 shortname: mgwsvar longname: Meridional component of gravity wave stress (variable resolution) units: N m**-2 s description: 'North-South component of surface stress due to gravity waves and orographic blocking ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230197 shortname: gwdvar longname: Gravity wave dissipation (variable resolution) units: J m**-2 description: 'Conversion of kinetic energy of the mean flow into heat due gravity waves and orographic blocking ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230198 shortname: srcvar longname: Skin reservoir content (variable resolution) units: kg m**-2 description: 'Amount of water in interception reservoir ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230205 shortname: rovar longname: Runoff (variable resolution) units: m description: 'Amount of water that is lost from the soil through surface runoff and deep soil drainage ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230208 shortname: tsrcvar longname: Top net solar radiation, clear sky (variable resolution) units: J m**-2 description: 'Clear sky part of the net solar radiation at the top of the atmosphere ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230209 shortname: ttrcvar longname: Top net thermal radiation, clear sky (variable resolution) units: J m**-2 description: 'Clear sky part of the net thermal radiation at the top of the atmosphere ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230210 shortname: ssrcvar longname: Surface net solar radiation, clear sky (variable resolution) units: J m**-2 description: 'Clear sky part of the net solar radiation at the surface ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230211 shortname: strcvar longname: Surface net thermal radiation, clear sky (variable resolution) units: J m**-2 description: 'Clear sky part of the net thermal radiation at the surface ' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230212 shortname: tisrvar longname: TOA incident solar radiation (variable resolution) units: J m**-2 description: null access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230213 shortname: vimdvar longname: Vertically integrated moisture divergence (variable resolution) units: kg m**-2 description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230216 shortname: fzravar longname: Accumulated freezing rain (variable resolution) units: m description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230228 shortname: tpvar longname: Total precipitation (variable resolution) units: m description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230239 shortname: csfvar longname: Convective snowfall (variable resolution) units: m of water equivalent description: Accumulated field access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230240 shortname: lsfvar longname: Large-scale snowfall (variable resolution) units: m of water equivalent description: Accumulated field access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 230251 shortname: pevvar longname: Potential evaporation (variable resolution) units: m description: '' access_ids: [] origin_ids: - 98 table: 230 mars_request_context: [] - id: 231001 shortname: fzrawe longname: Accumulated freezing rain water equivalent units: kg m**-2 description: '[NOTE: See 228216 for the equivalent parameter in "m"]' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231002 shortname: rowe longname: Runoff water equivalent (surface plus subsurface) units: kg m**-2 description: '

Some water from rainfall, melting snow, or deep in the soil, stays stored in the soil. Otherwise, the water drains away, either over the surface (surface runoff), or under the ground (sub-surface runoff) and the sum of these two is simply called ''runoff''. This parameter is the total amount of water accumulated over a particular time period which depends on the data extracted. Care should be taken when comparing model parameters with observations, because observations are often local to a particular point rather than averaged over a grid square area. Observations are also often taken in different units, such as mm/day, rather than the accumulated quantity produced here.

Runoff is a measure of the availability of water in the soil, and can, for example, be used as an indicator of drought or flood. More information about how runoff is calculated is given in the IFS Physical Processes documentation.

[NOTE: See 205 for the equivalent parameter in "m"]

' access_ids: - dissemination origin_ids: - 0 table: 231 mars_request_context: - *id158 - *id159 - *id160 - id: 231003 shortname: eswe longname: Snow evaporation water equivalent units: kg m**-2 description: '[NOTE: See 44 for the equivalent parameter in "m of water equivalent"]' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231004 shortname: pevr longname: Potential evaporation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231005 shortname: peva longname: Potential evaporation units: kg m**-2 description: '[NOTE: See 228251 for the equivalent parameter in "m"]' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231006 shortname: tifr longname: Tile fraction units: Proportion description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231007 shortname: tipe longname: Tile percentage units: '%' description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231008 shortname: flsrm longname: Forecast logarithm of surface roughness length for moisture units: Numeric description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231009 shortname: surfror longname: Surface runoff rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231010 shortname: surfro longname: Surface runoff units: kg m**-2 description: '[NOTE: See 8 for the equivalent parameter in "m"]' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231011 shortname: ssurfror longname: Sub-surface runoff rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231012 shortname: ssurfro longname: Sub-surface runoff units: kg m**-2 description: '[NOTE: See 9 for the equivalent parameter in "m"]' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231013 shortname: rfl04 longname: Reflectance in 0.4 micron channel units: '%' description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231014 shortname: vdiv longname: Vertical divergence units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231015 shortname: dtc longname: Drag thermal coefficient units: Numeric description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231016 shortname: dec longname: Drag evaporation coefficient units: Numeric description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231017 shortname: pdhs longname: Pressure departure from hydrostatic state units: Pa description: The difference between the true and the hydrostatic pressure. access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231018 shortname: snrf longname: Surface net radiation flux (SW and LW) units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231019 shortname: tnrf longname: Top net radiation flux (SW and LW) units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231021 shortname: gits longname: Global irradiance on tilted surfaces units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231022 shortname: eagr longname: Eady growth rate units: day**-1 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231023 shortname: tdtc longname: Tropical cyclones track density units: Numeric description: Detection of tropical cyclones and their tracks in a large area (footprint). access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231024 shortname: cant longname: Canopy air temperature units: K description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231025 shortname: swit longname: Soil wetness index (total layer) units: Numeric description: The volume of water over the total volume of voids in the soil, expressed as an index with values between 0 (residual soil moisture) and 1 (saturation), representing the lower and upper soil moisture limits of the entire soil profile. access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231026 shortname: swir longname: Soil wetness index (root zone) units: Numeric description: The volume of water over the total volume of voids in the soil, expressed as an index with values between 0 (residual soil moisture) and 1 (saturation), representing the lower and upper soil moisture limits of the root zone. The root zone is the maximum depth at which plants can extract water from the soil. Voids are empty spaces in the soil column that can be filled with water or air. access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231027 shortname: swil longname: Soil wetness index (layer) units: Numeric description: The volume of water over the total volume of voids in the soil, expressed as an index with values between 0 (residual soil moisture) and 1 (saturation), representing the lower and upper soil moisture limits of the specific soil layer. access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231028 shortname: ddrf longname: Distance downward from roof surface units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231029 shortname: diws longname: Distance inward from outer wall surface units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231030 shortname: ddrd longname: Distance downward from road surface units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231031 shortname: rpc longname: Renewable power capacity units: W description: Renewable power capacity is the possible instantaneous power production under optimal conditions from renewable sources. access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231032 shortname: rppr longname: Renewable power production rate units: W description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231033 shortname: rpp longname: Renewable power production units: W s description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231034 shortname: wpc longname: Wind power capacity units: W description: This power capacity is the possible instantaneous power production under optimal conditions from wind sources. access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231035 shortname: wppr longname: Wind power production rate units: W description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231036 shortname: wpp longname: Wind power production units: W s description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231037 shortname: pvpc longname: Solar photovoltaic (PV) power capacity units: W description: This power capacity is the possible instantaneous power production under optimal conditions from solar photovoltaic (PV) sources. access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231038 shortname: pvppr longname: Solar photovoltaic (PV) power production rate units: W description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231039 shortname: pvpp longname: Solar photovoltaic (PV) power production units: W s description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231040 shortname: tgrp longname: Graupel (snow pellets) precipitation units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231041 shortname: litotint longname: Time-integrated total lightning flash density units: km**-2 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231045 shortname: pcdb longname: Pressure at cloud base units: Pa description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231046 shortname: hacg longname: Geometric height of adiabatic condensation level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231047 shortname: hfcg longname: Geometric height of free convection level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231048 shortname: hnbg longname: Geometric height of neutral buoyancy level above ground units: m description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231049 shortname: deg3l longname: Geometric height of 3 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231050 shortname: rft longname: Roof temperature units: K description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231051 shortname: wlt longname: Wall temperature units: K description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231052 shortname: rdt longname: Road temperature units: K description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231053 shortname: sdrf longname: Snow depth water equivalent on roof units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231054 shortname: sdrd longname: Snow depth water equivalent on road units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231055 shortname: urct longname: Urban canyon temperature units: K description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231056 shortname: urcq longname: Urban canyon specific humidity units: kg kg**-1 description: '' access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231057 shortname: csfwe longname: Convective snowfall water equivalent units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231058 shortname: lsfwe longname: Large-scale snowfall water equivalent units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231059 shortname: lslt longname: Lake surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231060 shortname: sbrn longname: Surface bulk Richardson number units: Numeric description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231063 shortname: srhe longname: Surface roughness for heat units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231064 shortname: srmo longname: Surface roughness for moisture units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231065 shortname: esrwe longname: Snow evaporation rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231066 shortname: rare longname: Radar reflectivity units: dB description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231067 shortname: pcdc longname: Pressure at cloud ceiling units: Pa description:

This parameter is calculated by searching from the second lowest model level upwards, to the height of the level where cloud fraction becomes greater than 50% and condensate content greater than 1.E-6 kg kg-1.

access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231068 shortname: visp longname: Visibility through precipitation units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231069 shortname: h0thg longname: Geometric height of 0 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231070 shortname: h1thg longname: Geometric height of 1 degree C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231071 shortname: h1p5thg longname: Geometric height of 1.5 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231072 shortname: vswrz longname: Volumetric soil moisture (root zone) units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231073 shortname: tcvmrpr longname: Total column vertical-maximum radar precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231074 shortname: tcvmrr longname: Total column vertical-maximum radar reflectivity units: dB description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231500 shortname: hits longname: Thunderstorm hazard index units: (Code table 4.253) description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231501 shortname: hiswf longname: Surface water flooding hazard index units: (Code table 4.253) description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231502 shortname: hipa longname: Polluted air hazard index units: (Code table 4.253) description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231503 shortname: hiss longname: Storm surge hazard index units: (Code table 4.253) description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231504 shortname: hicw longname: Cold wave hazard index units: (Code table 4.253) description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231505 shortname: hihf longname: Frost (hoar frost) hazard index units: (Code table 4.253) description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231506 shortname: hihw longname: Heatwave hazard index units: (Code table 4.253) description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231507 shortname: hiw longname: Wind hazard index units: (Code table 4.253) description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 231508 shortname: hiwf longname: Wildfires hazard index units: (Code table 4.253) description: null access_ids: [] origin_ids: - 0 table: 231 mars_request_context: [] - id: 232000 shortname: fba longname: Burned area units: '%' description: The proportion of a grid box burned by fire. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232001 shortname: bia longname: Burning area units: '%' description: The proportion of a grid box with an active fire. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232002 shortname: baa longname: Burnable area units: '%' description: The proportion of a grid box which could potentially burn. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232003 shortname: ubaa longname: Un-burnable area units: '%' description: The proportion of a grid box which cannot burn. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232004 shortname: fuell longname: Fuel load units: kg m**-2 description: Total biomass of combustable material. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232005 shortname: combc longname: Combustion completeness units: '%' description: The combustion completeness is the fraction of fuel load combusted during a fire. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232006 shortname: fuelmc longname: Fuel moisture content units: kg kg**-1 description: The kg of water per kg of biomass. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232007 shortname: llfl longname: Live leaf fuel load units: kg m**-2 description: Amount of biomass from live leaves. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232008 shortname: lwfl longname: 'Live wood fuel load ' units: kg m**-2 description: Amount of biomass from live woody components. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232009 shortname: dlfl longname: Dead leaf fuel load units: kg m**-2 description: Amount of biomass from dead leaves. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232010 shortname: dwfl longname: Dead wood fuel load units: kg m**-2 description: Amount of biomass from dead woody components. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232011 shortname: lfmc longname: Live fuel moisture content units: kg kg**-1 description: Amount of water per amount of mass in live vegetation. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232012 shortname: fdlmc longname: Fine dead leaf moisture content units: kg kg**-1 description: Amount of water per amount of mass in fine dead leaf fuel bed. These fuels include herbaceous plants and leaf litter. Fine dead leaf is classified as a 1-h fuel in the Nelson model as moisture responds on hourly timescales to atmospheric conditions. Typical diameter is 0.2 cm. Values range between 0.01 and 0.8. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232013 shortname: ddlmc longname: Dense dead leaf moisture content units: kg kg**-1 description: Amount of water per amount of mass in dense dead leaf fuel bed. These fuels include herbaceous plants and small sticks. Dense dead leaf is classified as a 10-h fuel in the Nelson model as moisture responds on sub-daily timescales to atmospheric conditions. Typical diameter is 0.6 cm. Values range between 0.01 and 0.6. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232014 shortname: fdwmc longname: Fine dead wood moisture content units: kg kg**-1 description: Amount of water per amount of mass in fine dead wood fuel bed. These fuels include large sticks and logs. Fine dead wood is classified as a 100-h fuel in the Nelson model as moisture responds on daily-to-weekly timescales to atmospheric conditions. Typical diameter is 2.0 cm. Values range between 0.01 and 0.5. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232015 shortname: ddwmc longname: Dense dead wood moisture content units: kg kg**-1 description: Amount of water per amount of mass in dense dead wood fuel bed. These fuels include fallen trees and large logs. Dense dead wood is classified as a 1000-h fuel in the Nelson model as moisture responds on monthly timescales to atmospheric conditions. Typical diameter is 6.0 cm. Values range between 0.01 and 0.4. access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232016 shortname: lfmclv longname: Live fuel moisture content in low vegetation units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 232017 shortname: lfmchv longname: Live fuel moisture content in high vegetation units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 232 mars_request_context: [] - id: 233000 shortname: tvige longname: Time-integrated total column vertically-integrated eastward geopotential flux units: J m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233001 shortname: tvign longname: Time-integrated total column vertically-integrated northward geopotential flux units: J m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233002 shortname: tviwgd longname: Time-integrated total column vertically-integrated divergence of water geopotential flux units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233003 shortname: tvigd longname: Time-integrated total column vertically-integrated divergence of geopotential flux units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233004 shortname: tviee longname: Time-integrated total column vertically-integrated eastward enthalpy flux units: J m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233005 shortname: tvien longname: Time-integrated total column vertically-integrated northward enthalpy flux units: J m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233006 shortname: tvikee longname: Time-integrated total column vertically-integrated eastward kinetic energy flux units: J m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233007 shortname: tviken longname: Time-integrated total column vertically-integrated northward kinetic energy flux units: J m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233008 shortname: tvitee longname: Time-integrated total column vertically-integrated eastward total energy flux units: J m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233009 shortname: tviten longname: Time-integrated total column vertically-integrated northward total energy flux units: J m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233010 shortname: tvied longname: Time-integrated total column vertically-integrated divergence of enthalpy flux units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233011 shortname: tviked longname: Time-integrated total column vertically-integrated divergence of kinetic energy flux units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233012 shortname: tvited longname: Time-integrated total column vertically-integrated divergence of total energy flux units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233013 shortname: tviwed longname: Time-integrated total column vertically-integrated divergence of water enthalpy flux units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233014 shortname: tvimad longname: Time-integrated total column vertically-integrated divergence of mass flux units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233015 shortname: tvimae longname: Time-integrated total column vertically-integrated eastward mass flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233016 shortname: tviman longname: Time-integrated total column vertically-integrated northward mass flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233017 shortname: tviwvd longname: Time-integrated total column vertically-integrated divergence of water vapour flux units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233018 shortname: tviclwd longname: Time-integrated total column vertically-integrated divergence of cloud liquid water flux units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233019 shortname: tviciwd longname: Time-integrated total column vertically-integrated divergence of cloud ice water flux units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233020 shortname: tvird longname: Time-integrated total column vertically-integrated divergence of rain flux units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233021 shortname: tvisd longname: Time-integrated total column vertically-integrated divergence of snow flux units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233022 shortname: tviwve longname: Time-integrated total column vertically-integrated eastward water vapour flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233023 shortname: tviwvn longname: Time-integrated total column vertically-integrated northward water vapour flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233024 shortname: tviclwe longname: Time-integrated total column vertically-integrated eastward cloud liquid water flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233025 shortname: tviclwn longname: Time-integrated total column vertically-integrated northward cloud liquid water flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233026 shortname: tviciwe longname: Time-integrated total column vertically-integrated eastward cloud ice water flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233027 shortname: tviciwn longname: Time-integrated total column vertically-integrated northward cloud ice water flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233028 shortname: tvire longname: Time-integrated total column vertically-integrated eastward rain flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233029 shortname: tvirn longname: Time-integrated total column vertically-integrated northward rain flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233030 shortname: tvise longname: Time-integrated total column vertically-integrated eastward snow flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233031 shortname: tvisn longname: Time-integrated total column vertically-integrated northward snow flux units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 233 mars_request_context: [] - id: 233032 shortname: tvioze longname: Time-integrated total column vertically-integrated eastward ozone flux units: kg m**-1 description: null access_ids: [] origin_ids: - -80 - -50 table: 233 mars_request_context: [] - id: 233033 shortname: tviozn longname: Time-integrated total column vertically-integrated northward ozone flux units: kg m**-1 description: null access_ids: [] origin_ids: - -80 - -50 table: 233 mars_request_context: [] - id: 233034 shortname: tviozd longname: Time-integrated total column vertically-integrated divergence of ozone flux units: kg m**-2 description: null access_ids: [] origin_ids: - -80 - -50 table: 233 mars_request_context: [] - id: 233035 shortname: tvions longname: Time-integrated total column vertically-integrated net source of ozone units: kg m**-2 description: null access_ids: [] origin_ids: - -80 - -50 table: 233 mars_request_context: [] - id: 234139 shortname: sts longname: Surface temperature significance units: '%' description: null access_ids: [] origin_ids: - 98 table: 234 mars_request_context: - *id060 - id: 234151 shortname: msls longname: Mean sea level pressure significance units: '%' description: null access_ids: [] origin_ids: - 98 table: 234 mars_request_context: - *id060 - id: 234167 shortname: 2ts longname: 2 metre temperature significance units: '%' description: null access_ids: [] origin_ids: - 98 table: 234 mars_request_context: - *id060 - id: 234228 shortname: tps longname: Total precipitation significance units: '%' description: null access_ids: [] origin_ids: - 98 table: 234 mars_request_context: - *id060 - id: 235001 shortname: avg_ttswr longname: Time-mean temperature tendency due to short-wave radiation units: K s**-1 description: Temperature tendency due to parameterised short-wave radiation, all sky. access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235002 shortname: avg_ttlwr longname: Time-mean temperature tendency due to long-wave radiation units: K s**-1 description: Temperature tendency due to parameterised long-wave radiation, all sky access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235003 shortname: avg_ttswrcs longname: Time-mean temperature tendency due to short wave radiation, clear sky units: K s**-1 description: Temperature tendency due to parameterised short-wave radiation, clear sky access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235004 shortname: avg_ttlwrcs longname: Time-mean temperature tendency due to long-wave radiation, clear sky units: K s**-1 description: Temperature tendency due to parameterised long-wave radiation, clear sky access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235005 shortname: avg_ttpm longname: Time-mean temperature tendency due to parametrisations units: K s**-1 description: Temperature tendency due to parameterisations access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235006 shortname: avg_qtpm longname: Time-mean specific humidity tendency due to parametrisations units: kg kg**-1 s**-1 description: Specific humidity tendency due to parameterisations access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235007 shortname: avg_utpm longname: Time-mean eastward wind tendency due to parametrisations units: m s**-2 description: Eastward wind tendency due to parameterisations access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235008 shortname: avg_vtpm longname: Time-mean northward wind tendency due to parametrisations units: m s**-2 description: Northward wind tendency due to parameterisations access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235009 shortname: avg_umf longname: Time-mean updraught mass flux units: kg m**-2 s**-1 description: Updraught mass flux due to parameterised convection access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235010 shortname: avg_dmf longname: Time-mean downdraught mass flux units: kg m**-2 s**-1 description: Downdraught mass flux due to parameterised convection access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235011 shortname: avg_udr longname: Time-mean updraught detrainment rate units: kg m**-3 s**-1 description: Updraught detrainment rate due to parameterised convection access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235012 shortname: avg_ddr longname: Time-mean downdraught detrainment rate units: kg m**-3 s**-1 description: Downdraught detrainment rate due to parameterised convection access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235013 shortname: avg_tpf longname: Time-mean total precipitation flux units: kg m**-2 s**-1 description: Time-mean total precipitation rate, or time-mean total precipitation flux. This parameter should not be used on level "Ground or water surface" (typeOfFirstFixedSurface=1). Please use 235055 for this purpose. access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235014 shortname: avg_tdch longname: Time-mean turbulent diffusion coefficient for heat units: m**2 s**-1 description: Turbulent diffusion coefficient for heat access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235015 shortname: tirf longname: Time integral of rain flux units: kg m**-2 description: Accumulated (from the beginning of the forecast) access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235017 shortname: tisemf longname: Time integral of surface eastward momentum flux units: N m**-2 s description: Accumulated surface momentum flux in eastward direction access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235018 shortname: tisnmf longname: Time integral of surface northward momentum flux units: N m**-2 s description: Accumulated surface momentum flux in northward direction access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235019 shortname: tislhef longname: Time integral of surface latent heat evaporation flux units: J m**-2 description: "This parameter is the transfer of latent heat resulting from evaporation\ \ between the Earth's surface and the atmosphere through the effects of turbulent\ \ air motion. Evaporation from the Earth's surface represents a transfer of energy\ \ from the surface to the atmosphere. See further documentation\r\n\r\nThis parameter is accumulated over a particular time period which depends on the data extracted. The units are\ \ joules per square metre (J m-2). To convert to watts per square metre (W m-2),\ \ the accumulated values should be divided by the accumulation period expressed\ \ in seconds.\r\n\r\nThe ECMWF convention for vertical fluxes is positive downwards." access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235020 shortname: avg_surfror longname: Time-mean surface runoff rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235021 shortname: avg_ssurfror longname: Time-mean sub-surface runoff rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235022 shortname: avg_parcsf longname: Time-mean surface photosynthetically active radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235023 shortname: avg_esrwe longname: Time-mean snow evaporation rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235024 shortname: avg_smr longname: Time-mean snow melt rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235025 shortname: avg_imagss longname: Time-mean magnitude of turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235026 shortname: avg_ilspf longname: Time-mean large-scale precipitation fraction units: Proportion description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235027 shortname: avg_sduvrf longname: Time-mean surface downward UV radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235028 shortname: avg_sparf longname: Time-mean surface photosynthetically active radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235029 shortname: avg_lsprate longname: Time-mean large-scale precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235030 shortname: avg_cpr longname: Time-mean convective precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235031 shortname: avg_tsrwe longname: Time-mean total snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235032 shortname: avg_ibld longname: Time-mean boundary layer dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235033 shortname: avg_ishf longname: Time-mean surface sensible heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235034 shortname: avg_slhtf longname: Time-mean surface latent heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235035 shortname: avg_sdswrf longname: Time-mean surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235036 shortname: avg_sdlwrf longname: Time-mean surface downward long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235037 shortname: avg_snswrf longname: Time-mean surface net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235038 shortname: avg_snlwrf longname: Time-mean surface net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235039 shortname: avg_tnswrf longname: Time-mean top net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235040 shortname: avg_tnlwrf longname: Time-mean top net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235041 shortname: avg_iews longname: Time-mean eastward turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235042 shortname: avg_inss longname: Time-mean northward turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235043 shortname: avg_ie longname: Time-mean moisture flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235044 shortname: avg_sdf longname: Time-mean sunshine duration fraction units: Proportion description: This parameter is the amount of sunshine in seconds over a given length of time in seconds. Sunshine is defined as a radiation intensity above 120 W m-2. access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235045 shortname: avg_iegwss longname: Time-mean eastward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235046 shortname: avg_ingwss longname: Time-mean northward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235047 shortname: avg_igwd longname: Time-mean gravity wave dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235048 shortname: avg_rorwe longname: Time-mean runoff rate water equivalent (surface plus subsurface) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235049 shortname: avg_tnswrfcs longname: Time-mean top net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235050 shortname: avg_tnlwrfcs longname: Time-mean top net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235051 shortname: avg_snswrfcs longname: Time-mean surface net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235052 shortname: avg_snlwrfcs longname: Time-mean surface net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235053 shortname: avg_tdswrf longname: Time mean top downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235054 shortname: avg_vimdf longname: Time-mean total column vertically-integrated moisture divergence flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235055 shortname: avg_tprate longname: Time-mean total precipitation rate units: kg m**-2 s**-1 description: Time-mean total precipitation rate, or time-mean total precipitation flux. This parameter is on level "Ground or water surface" (typeOfFirstFixedSurface=1). For this parameter on other levels, please use 235013. access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235056 shortname: avg_csfr longname: Time-mean convective snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235057 shortname: avg_lssfr longname: Time-mean large scale snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235058 shortname: avg_sdirswrf longname: Time-mean surface direct short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235059 shortname: avg_sdirswrfcs longname: Time-mean surface direct short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235060 shortname: msdfswrf longname: Mean surface diffuse short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235061 shortname: avg_sdifswrfcs longname: Time-mean surface diffuse short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 98 table: 235 mars_request_context: [] - id: 235062 shortname: avg_fco2nee longname: Time-mean carbon dioxide net ecosystem exchange flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - -80 - -50 - 98 table: 235 mars_request_context: [] - id: 235063 shortname: avg_fco2gpp longname: Time-mean carbon dioxide gross primary production flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - -80 - -50 - 98 table: 235 mars_request_context: [] - id: 235064 shortname: avg_fco2rec longname: Time-mean carbon dioxide ecosystem respiration flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - -80 - -50 - 98 table: 235 mars_request_context: [] - id: 235068 shortname: avg_sdswrfcs longname: Time-mean surface downward short-wave radiation flux, clear sky units: W m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235069 shortname: avg_sdlwrfcs longname: Time-mean surface downward long-wave radiation flux, clear sky units: W m**-2 description: '' access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235070 shortname: avg_pevr longname: Time-mean potential evaporation rate units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 0 - 98 table: 235 mars_request_context: [] - id: 235071 shortname: tislhsf longname: Time integral of surface latent heat sublimation flux units: J m**-2 description: "This parameter is the transfer of latent heat due to sublimation from\ \ snow surfaces between the Earth's surface and the atmosphere through the effects\ \ of turbulent air motion. Sublimation from the Earth's surface represents a transfer\ \ of energy from the surface to the atmosphere.See further documentation\r\n\r\nThis parameter is accumulated over a particular time period which depends on the data extracted. The units are\ \ joules per square metre (J m-2). To convert to watts per square metre (W m-2),\ \ the accumulated values should be divided by the accumulation period expressed\ \ in seconds.\r\n\r\nThe ECMWF convention for vertical fluxes is positive downwards." access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235072 shortname: tisef longname: Time integral of snow evaporation flux units: kg m**-2 description: 'This parameter is the accumulated amount of water that has evaporated from snow from the snow-covered area of a grid box.
The ECMWF Integrated Forecast System represents snow as additional layer(s) over the uppermost soil level. The snow may cover all or part of the grid box. This parameter corresponds to the mass of liquid water per unit area of evaporated snow (from the snow-covered area of a grid box).
This parameter is accumulated over a  particular time period which depends on the data extracted.
The ECMWF Integrated Forecasting System convention is that downward fluxes are positive. Therefore, negative values indicate evaporation and positive values indicate deposition.' access_ids: [] origin_ids: - 98 table: 235 mars_request_context: [] - id: 235073 shortname: tietrf longname: Time integral of evapotranspiration flux units: kg m**-2 description: 'This parameter is the accumulated amount of water that has evaporated from the different surfaces (e.g. soil, water bodies) and from the vegetation transpiration in a grid box, into vapour in the air above.
This parameter is accumulated over a particular time period which depends on the data extracted.
The ECMWF Integrated Forecasting System convention is that downward fluxes are positive. Therefore, negative values indicate evaporation and positive values indicate condensation.' access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235074 shortname: avg_etr longname: Time-mean evapotranspiration rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235075 shortname: tipet longname: Time integral of potential evapotranspiration rate units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235076 shortname: avg_petr longname: Time-mean potential evapotranspiration rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235077 shortname: avg_vsw longname: Time-mean volumetric soil moisture units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235078 shortname: avg_sd longname: Time-mean snow depth water equivalent units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235079 shortname: avg_skt longname: Time-mean skin temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235080 shortname: avg_rsn longname: Time-mean snow density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235081 shortname: avg_cvl longname: Time-mean low vegetation cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235082 shortname: avg_cvh longname: Time-mean high vegetation cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235083 shortname: avg_ci longname: Time-mean sea ice area fraction units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235084 shortname: avg_sst longname: Time-mean sea surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235085 shortname: avg_lai_lv longname: Time-mean leaf area index, low vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235086 shortname: avg_lai_hv longname: Time-mean leaf area index, high vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235087 shortname: avg_tclw longname: Time-mean total column liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235088 shortname: avg_tciw longname: Time-mean total column cloud ice water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235089 shortname: avg_2sh longname: Time-mean 2 metre specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235090 shortname: avg_lmlt longname: Time-mean lake mix-layer temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235091 shortname: avg_lmld longname: Time-mean lake mix-layer depth units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235092 shortname: avg_2r longname: Time-mean 2 metre relative humidity units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235093 shortname: avg_fscov longname: Time-mean fraction of snow cover units: Proportion description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235094 shortname: avg_sot longname: Time-mean soil temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235095 shortname: avg_sde longname: Time-mean snow depth units: m description: null access_ids: [] origin_ids: - -70 table: 235 mars_request_context: [] - id: 235096 shortname: avg_snowc longname: Time-mean snow cover units: '%' description: null access_ids: [] origin_ids: - -70 table: 235 mars_request_context: [] - id: 235097 shortname: avg_ws longname: Time-mean wind speed units: m s**-1 description: null access_ids: [] origin_ids: - -90 - 0 table: 235 mars_request_context: [] - id: 235098 shortname: avg_pres longname: Time-mean pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235099 shortname: avg_chnk longname: Time-mean charnock units: Numeric description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235100 shortname: avg_pv longname: Time-mean potential vorticity units: K m**2 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235101 shortname: avg_crwc longname: Time-mean specific rain water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235102 shortname: avg_cswc longname: Time-mean specific snow water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235103 shortname: avg_etadot longname: Time-mean eta-coordinate vertical velocity units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235105 shortname: avg_vis longname: Time-mean visibility units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235106 shortname: avg_wdir longname: Time-mean wind direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235107 shortname: avg_tcsw longname: Time-mean total column snow water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235108 shortname: avg_lcc longname: Time-mean low cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235109 shortname: avg_mcc longname: Time-mean medium cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235110 shortname: avg_hcc longname: Time-mean high cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235111 shortname: avg_tcrw longname: Time-mean total column rain water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235113 shortname: avg_sm20 longname: Time-mean soil moisture top 20 cm units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235114 shortname: avg_sm100 longname: Time-mean soil moisture top 100 cm units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235115 shortname: avg_st20 longname: Time-mean soil temperature top 20 cm units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235116 shortname: avg_st100 longname: Time-mean soil temperature top 100 cm units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235117 shortname: avg_mucape longname: Time-mean most-unstable CAPE units: J kg**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 235 mars_request_context: - *id043 - *id046 - *id047 - *id048 - *id049 - *id060 - *id061 - *id062 - *id063 - *id064 - *id065 - *id051 - id: 235118 shortname: avg_vsw20 longname: Time-mean volumetric soil moisture top 20 cm units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235119 shortname: avg_vsw100 longname: Time-mean volumetric soil moisture top 100 cm units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235120 shortname: avg_tcolg longname: Time-mean total column vertically-integrated graupel (snow pellets) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235129 shortname: avg_z longname: Time-mean geopotential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235130 shortname: avg_t longname: Time-mean temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235131 shortname: avg_u longname: Time-mean U component of wind units: m s**-1 description: null access_ids: [] origin_ids: - -90 - 0 table: 235 mars_request_context: [] - id: 235132 shortname: avg_v longname: Time-mean V component of wind units: m s**-1 description: null access_ids: [] origin_ids: - -90 - 0 table: 235 mars_request_context: [] - id: 235133 shortname: avg_q longname: Time-mean specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235134 shortname: avg_sp longname: Time-mean surface pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235135 shortname: avg_w longname: Time-mean vertical velocity units: Pa s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235136 shortname: avg_tcw longname: Time-mean total column water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235137 shortname: avg_tcwv longname: Time-mean total column vertically-integrated water vapour units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235138 shortname: avg_vo longname: Time-mean vorticity (relative) units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235141 shortname: avg_sd_m longname: Time-mean snow depth units: m of water equivalent description: null access_ids: [] origin_ids: - -90 - -70 - 98 table: 235 mars_request_context: [] - id: 235149 shortname: avg_snrf longname: Time-mean surface net radiation flux (SW and LW) units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235150 shortname: avg_tnrf longname: Time-mean top net radiation flux (SW and LW) units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235151 shortname: avg_msl longname: Time-mean mean sea level pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235152 shortname: avg_lnsp longname: Time-mean logarithm of surface pressure units: Numeric description: null access_ids: [] origin_ids: - -60 - -50 - 98 table: 235 mars_request_context: [] - id: 235155 shortname: avg_d longname: Time-mean divergence units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235157 shortname: avg_r longname: Time-mean relative humidity units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235159 shortname: avg_blh longname: Time-mean boundary layer height units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235165 shortname: avg_10u longname: Time-mean 10 metre U wind component units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235166 shortname: avg_10v longname: Time-mean 10 metre V wind component units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235168 shortname: avg_2d longname: Time-mean 2 metre dewpoint temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235186 shortname: avg_lcc_frac longname: Time-mean low cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - -90 - -70 - 98 table: 235 mars_request_context: [] - id: 235187 shortname: avg_mcc_frac longname: Time-mean medium cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - -90 - -70 - 98 table: 235 mars_request_context: [] - id: 235188 shortname: avg_hcc_frac longname: Time-mean high cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - -90 - -70 - 98 table: 235 mars_request_context: [] - id: 235189 shortname: avg_suns longname: Time-mean sunshine units: Numeric description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235203 shortname: avg_o3 longname: Time-mean ozone mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235238 shortname: avg_tsn longname: Time-mean temperature of snow layer units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235243 shortname: avg_fal_frac longname: Time-mean forecast albedo units: (0 - 1) description: null access_ids: [] origin_ids: - -70 - 98 table: 235 mars_request_context: [] - id: 235244 shortname: avg_fsr longname: Time-mean forecast surface roughness units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235245 shortname: avg_flsr longname: Time-mean forecast logarithm of surface roughness for heat units: Numeric description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235246 shortname: avg_clwc longname: Time-mean specific cloud liquid water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235247 shortname: avg_ciwc longname: Time-mean specific cloud ice water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235248 shortname: avg_cc longname: Time-mean fraction of cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235257 shortname: avg_kx longname: Time-mean K index units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235258 shortname: avg_totalx longname: Time-mean total totals index units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235261 shortname: avg_10wdir longname: Time-mean 10 metre wind direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235262 shortname: avg_cat longname: Time-mean clear air turbulence (CAT) units: m**2/3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235263 shortname: avg_al longname: Time-mean forecast albedo units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235269 shortname: avg_pt longname: Time-mean potential temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235270 shortname: avg_dis longname: Time-mean discharge from rivers or streams units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235271 shortname: avg_swit longname: Time-mean soil wetness index (total layer) units: Numeric description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235272 shortname: avg_swir longname: Time-mean soil wetness index (root zone) units: Numeric description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235273 shortname: avg_swil longname: Time-mean soil wetness index(layer) units: Numeric description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235274 shortname: avg_flddep longname: Time-mean floodplain depth units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235275 shortname: avg_fldffr longname: Time-mean floodplain flooded fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235276 shortname: avg_fldfar longname: Time-mean floodplain flooded area units: m**2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235277 shortname: avg_rivfr longname: Time-mean river fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235278 shortname: avg_rivar longname: Time-mean river area units: m**2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235279 shortname: avg_rivcffr longname: Time-mean fraction of river coverage plus river related flooding units: Proportion description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235280 shortname: avg_rivcfar longname: Time-mean area of river coverage plus river related flooding units: m**2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235281 shortname: avg_aluvp_p longname: Time-mean UV visible albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235282 shortname: avg_aluvd_p longname: Time-mean UV visible albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235283 shortname: avg_alnip_p longname: Time-mean near IR albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235284 shortname: avg_alnid_p longname: Time-mean near IR albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235285 shortname: avg_asn longname: Time-mean snow albedo units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235286 shortname: avg_mont longname: Time-mean montgomery potential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235287 shortname: avg_cape longname: Time-mean convective available potential energy units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235288 shortname: avg_tcc longname: Time-mean total cloud cover units: '%' description: null access_ids: [] origin_ids: - -80 - -50 - 0 table: 235 mars_request_context: [] - id: 235289 shortname: avg_srcon longname: Time-mean skin reservoir content units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235290 shortname: avg_tcioz longname: Time-mean total column integrated ozone units: DU description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235291 shortname: avg_vike longname: Time-mean total column vertically-integrated kinetic energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235292 shortname: avg_vithe longname: Time-mean total column vertically-integrated enthalpy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235293 shortname: avg_vipie longname: Time-mean total column vertically-integrated potential + internal energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235294 shortname: avg_vipile longname: Time-mean total column vertically-integrated potential+internal+latent energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235295 shortname: avg_vitoe longname: Time-mean total column vertically-integrated total energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235296 shortname: avg_viwe longname: Time-mean total column vertically-integrated water enthalpy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235297 shortname: avg_aluvpi_p longname: Time-mean UV visible albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235298 shortname: avg_aluvpv_p longname: Time-mean UV visible albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235299 shortname: avg_aluvpg_p longname: Time-mean UV visible albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235300 shortname: avg_alnipi_p longname: Time-mean near IR albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235301 shortname: avg_alnipv_p longname: Time-mean near IR albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235302 shortname: avg_alnipg_p longname: Time-mean near IR albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235303 shortname: avg_cin longname: Time-mean convective inhibition units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235304 shortname: avg_zust longname: Time-mean friction velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235305 shortname: avg_lblt longname: Time-mean lake bottom temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235306 shortname: avg_ltlt longname: Time-mean lake total layer temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235307 shortname: avg_lshf longname: Time-mean lake shape factor units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235308 shortname: avg_lict longname: Time-mean lake ice surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235309 shortname: avg_licd longname: Time-mean lake ice total depth units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235310 shortname: avg_dndzn longname: Time-mean minimum vertical gradient of refractivity inside trapping layer units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235311 shortname: avg_dndza longname: Time-mean mean vertical gradient of refractivity inside trapping layer units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235312 shortname: avg_dctb longname: Time-mean duct base height units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235313 shortname: avg_tplb longname: Time-mean trapping layer base height units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235314 shortname: avg_tplt longname: Time-mean trapping layer top height units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235315 shortname: avg_degm10l longname: Time-mean geometric height of -10 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235316 shortname: avg_cbh longname: Time-mean cloud base height units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235317 shortname: avg_deg0l longname: Time-mean geometric height of 0 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235318 shortname: avg_i10fg longname: Time-mean 10 metre wind gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235319 shortname: avg_rhw longname: Time-mean relative humidity with respect to water units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235320 shortname: avg_2rhw longname: Time-mean 2 metre relative humidity with respect to water units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235321 shortname: avg_capes longname: Time-mean convective available potential energy shear units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235322 shortname: avg_trpp longname: Time-mean tropopause pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235323 shortname: avg_hcct longname: Time-mean height of convective cloud top units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235324 shortname: avg_hwbt0 longname: Time-mean height of zero-degree wet-bulb temperature units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235325 shortname: avg_hwbt1 longname: Time-mean height of one-degree wet-bulb temperature units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235326 shortname: avg_litoti longname: Time-mean total lightning flash density units: km**-2 day**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235327 shortname: avg_tcslw longname: Time-mean total column supercooled liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235328 shortname: avg_u10n longname: Time-mean 10 metre U-component of neutral wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235329 shortname: avg_v10n longname: Time-mean 10 metre V-component of neutral wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235330 shortname: avg_crr longname: Time-mean convective rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235331 shortname: avg_lsrr longname: Time-mean large scale rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235332 shortname: avg_mlcape50 longname: Time-mean mixed-layer CAPE in the lowest 50 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235333 shortname: avg_mlcin50 longname: Time-mean mixed-layer CIN in the lowest 50 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235334 shortname: avg_mlcape100 longname: Time-mean mixed-layer CAPE in the lowest 100 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235335 shortname: avg_mlcin100 longname: Time-mean mixed-layer CIN in the lowest 100 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235336 shortname: avg_mudlp longname: Time-mean departure level of the most unstable parcel expressed as Pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235337 shortname: avg_ceil longname: Time-mean ceiling units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235338 shortname: avg_tcsqw longname: Time-mean total column integrated saturation specific humidity with respect to water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235339 shortname: avg_sdirnswrf longname: Time-mean surface direct normal short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235340 shortname: avg_cossza longname: Time-mean cosine of solar zenith angle units: Numeric description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235341 shortname: avg_fprate longname: Time-mean freezing rain precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235342 shortname: avg_vige longname: Time-mean total column vertically-integrated eastward geopotential flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235343 shortname: avg_vign longname: Time-mean total column vertically-integrated northward geopotential flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235344 shortname: avg_viwgd longname: Time-mean total column vertically-integrated divergence of water geopotential flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235345 shortname: avg_vigd longname: Time-mean total column vertically-integrated divergence of geopotential flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235346 shortname: avg_viee longname: Time-mean total column vertically-integrated eastward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235347 shortname: avg_vien longname: Time-mean total column vertically-integrated northward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235348 shortname: avg_vikee longname: Time-mean total column vertically-integrated eastward kinetic energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235349 shortname: avg_viken longname: Time-mean total column vertically-integrated northward kinetic energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235350 shortname: avg_vitee longname: Time-mean total column vertically-integrated eastward total energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235351 shortname: avg_viten longname: Time-mean total column vertically-integrated northward total energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235352 shortname: avg_vied longname: Time-mean total column vertically-integrated divergence of enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235353 shortname: avg_viked longname: Time-mean total column vertically-integrated divergence of kinetic energy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235354 shortname: avg_vited longname: Time-mean total column vertically-integrated divergence of total energy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235355 shortname: avg_viwed longname: Time-mean total column vertically-integrated divergence of water enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235356 shortname: avg_vimad longname: Time-mean total column vertically-integrated divergence of mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235357 shortname: avg_vimae longname: Time-mean total column vertically-integrated eastward mass flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235358 shortname: avg_viman longname: Time-mean total column vertically-integrated northward mass flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235359 shortname: avg_viwvd longname: Time-mean total column vertically-integrated divergence of water vapour flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235360 shortname: avg_viclwd longname: Time-mean total column vertically-integrated divergence of cloud liquid water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235361 shortname: avg_viciwd longname: Time-mean total column vertically-integrated divergence of cloud ice water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235362 shortname: avg_vird longname: Time-mean total column vertically-integrated divergence of rain flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235363 shortname: avg_visd longname: Time-mean total column vertically-integrated divergence of snow flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235364 shortname: avg_viwve longname: Time-mean total column vertically-integrated eastward water vapour flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235365 shortname: avg_viwvn longname: Time-mean total column vertically-integrated northward water vapour flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235366 shortname: avg_viclwe longname: Time-mean total column vertically-integrated eastward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235367 shortname: avg_viclwn longname: Time-mean total column vertically-integrated northward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235368 shortname: avg_viciwe longname: Time-mean total column vertically-integrated eastward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235369 shortname: avg_viciwn longname: Time-mean total column vertically-integrated northward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235370 shortname: avg_vire longname: Time-mean total column vertically-integrated eastward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235371 shortname: avg_virn longname: Time-mean total column vertically-integrated northward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235372 shortname: avg_vise longname: Time-mean total column vertically-integrated eastward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235373 shortname: avg_visn longname: Time-mean total column vertically-integrated northward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235374 shortname: avg_vioze longname: Time-mean total column vertically-integrated eastward ozone flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235375 shortname: avg_viozn longname: Time-mean total column vertically-integrated northward ozone flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235376 shortname: avg_viozd longname: Time-mean total column vertically-integrated divergence of ozone flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235377 shortname: avg_vions longname: Time-mean total column vertically-integrated net source of ozone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235378 shortname: avg_ietssofd longname: Time-mean eastward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235379 shortname: avg_intssofd longname: Time-mean northward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235380 shortname: avg_ietsssr longname: Time-mean eastward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235381 shortname: avg_intsssr longname: Time-mean northward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235382 shortname: avg_visp longname: Time-mean visibility through precipitation units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235383 shortname: avg_licgi longname: Time-mean cloud-to-ground lightning flash density units: km**-2 day**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235386 shortname: avg_lshnf longname: Time-mean land surface heat net flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235387 shortname: avg_sdirnswrfcs longname: Time-mean surface direct normal short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235388 shortname: avg_10cogu longname: Time-mean 10 metre convective gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235389 shortname: avg_10tugu longname: Time-mean 10 metre turbulent gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235390 shortname: avg_h0thg longname: Time-mean geometric height of 0 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235391 shortname: avg_h1thg longname: Time-mean geometric height of 1 degree C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235392 shortname: avg_h1p5thg longname: Time-mean geometric height of 1.5 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235393 shortname: avg_veg longname: Time-mean vegetation units: '%' description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235394 shortname: avg_lai longname: Time-mean leaf area index units: Numeric description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235395 shortname: avg_srhe longname: Time-mean surface roughness for heat units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235396 shortname: avg_rol longname: Time-mean Reciprocal Obukhov length units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235397 shortname: avg_deg3l longname: Time-mean geometric height of 3 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235398 shortname: avg_rivsto longname: Time-mean river storage of water units: m**3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235399 shortname: avg_fldsto longname: Time-mean floodplain storage of water units: m**3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235400 shortname: avg_rivdph longname: Time-mean river depth units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235401 shortname: avg_rivout longname: Time-mean river outflow of water units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235402 shortname: avg_fldout longname: Time-mean floodplain outflow of water units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235403 shortname: avg_pthflw longname: Time-mean floodpath outflow of water units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235404 shortname: avg_sdifswrfcs longname: Time-mean surface diffuse short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235405 shortname: avg_vswrz longname: Time-mean volumetric soil moisture (root zone) units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235406 shortname: avg_lwcs longname: Time-mean liquid water content in snow pack units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235407 shortname: avg_mucin longname: Time-mean most-unstable CIN units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235408 shortname: avg_crwc_conv longname: Time-mean specific rain water content (convective) units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235409 shortname: avg_cswc_conv longname: Time-mean specific snow water content (convective) units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235410 shortname: avg_mld longname: Time-mean mixed layer depth units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235411 shortname: avg_cur longname: Time-mean urban cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235412 shortname: avg_wse longname: Time-mean water surface elevation units: m description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235413 shortname: avg_grfr longname: Time-mean groundwater return flow rate units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235414 shortname: avg_rivfldsto longname: Time-mean river and floodplain storage units: m**3 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 235415 shortname: avg_darv longname: Time-mean depth-averaged river velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 235 mars_request_context: [] - id: 236386 shortname: acc_lshnf longname: Time-integrated land surface heat net flux units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 236 mars_request_context: [] - id: 236387 shortname: acc_sdirnswrfcs longname: Time-integrated surface direct normal short-wave radiation flux, clear sky units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 236 mars_request_context: [] - id: 237001 shortname: max_ttswr longname: Time-maximum temperature tendency due to short-wave radiation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237002 shortname: max_ttlwr longname: Time-maximum temperature tendency due to long-wave radiation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237003 shortname: max_ttswrcs longname: Time-maximum temperature tendency due to short wave radiation, clear sky units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237004 shortname: max_ttlwrcs longname: Time-maximum temperature tendency due to long-wave radiation, clear sky units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237005 shortname: max_ttpm longname: Time-maximum temperature tendency due to parametrisations units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237006 shortname: max_qtpm longname: Time-maximum specific humidity tendency due to parametrisations units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237007 shortname: max_utpm longname: Time-maximum eastward wind tendency due to parametrisations units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237008 shortname: max_vtpm longname: Time-maximum northward wind tendency due to parametrisations units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237009 shortname: max_umf longname: Time-maximum updraught mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237010 shortname: max_dmf longname: Time-maximum downdraught mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237011 shortname: max_udr longname: Time-maximum updraught detrainment rate units: kg m**-3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237012 shortname: max_ddr longname: Time-maximum downdraught detrainment rate units: kg m**-3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237013 shortname: max_tpf longname: Time-maximum total precipitation flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237014 shortname: max_tdch longname: Time-maximum turbulent diffusion coefficient for heat units: m**2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237022 shortname: max_parcsf longname: Time-maximum surface photosynthetically active radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237023 shortname: max_esrwe longname: Time-maximum snow evaporation rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237024 shortname: max_smr longname: Time-maximum snow melt rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237025 shortname: max_imagss longname: Time-maximum magnitude of turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237026 shortname: max_ilspf longname: Time-maximum large-scale precipitation fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237027 shortname: max_sduvrf longname: Time-maximum surface downward UV radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237028 shortname: max_sparf longname: Time-maximum surface photosynthetically active radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237029 shortname: max_lsprate longname: Time-maximum large-scale precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237030 shortname: max_cpr longname: Time-maximum convective precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237031 shortname: max_tsrwe longname: Time-maximum total snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237032 shortname: max_ibld longname: Time-maximum boundary layer dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237033 shortname: max_ishf longname: Time-maximum surface sensible heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237034 shortname: max_slhtf longname: Time-maximum surface latent heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237035 shortname: max_sdswrf longname: Time-maximum surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237036 shortname: max_sdlwrf longname: Time-maximum surface downward long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237037 shortname: max_snswrf longname: Time-maximum surface net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237038 shortname: max_snlwrf longname: Time-maximum surface net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237039 shortname: max_tnswrf longname: Time-maximum top net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237040 shortname: max_tnlwrf longname: Time-maximum top net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237041 shortname: max_iews longname: Time-maximum eastward turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237042 shortname: max_inss longname: Time-maximum northward turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237043 shortname: max_ie longname: Time-maximum moisture flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237045 shortname: max_iegwss longname: Time-maximum eastward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237046 shortname: max_ingwss longname: Time-maximum northward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237047 shortname: max_igwd longname: Time-maximum gravity wave dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237048 shortname: max_rorwe longname: Time-maximum runoff rate water equivalent (surface plus subsurface) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237049 shortname: max_tnswrfcs longname: Time-maximum top net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237050 shortname: max_tnlwrfcs longname: Time-maximum top net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237051 shortname: max_snswrfcs longname: Time-maximum surface net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237052 shortname: max_snlwrfcs longname: Time-maximum surface net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237053 shortname: max_tdswrf longname: Time mean top downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237054 shortname: max_vimdf longname: Time-maximum total column vertically-integrated moisture divergence flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237055 shortname: max_tprate longname: Time-maximum total precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237056 shortname: max_csfr longname: Time-maximum convective snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237057 shortname: max_lssfr longname: Time-maximum large scale snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237058 shortname: max_sdirswrf longname: Time-maximum surface direct short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237059 shortname: max_sdirswrfcs longname: Time-maximum surface direct short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237062 shortname: max_fco2nee longname: Time-maximum carbon dioxide net ecosystem exchange flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237063 shortname: max_fco2gpp longname: Time-maximum carbon dioxide gross primary production flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237064 shortname: max_fco2rec longname: Time-maximum carbon dioxide ecosystem respiration flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237068 shortname: max_sdswrfcs longname: Time-maximum surface downward short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237069 shortname: max_sdlwrfcs longname: Time-maximum surface downward long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237070 shortname: max_pevr longname: Time-maximum potential evaporation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237077 shortname: max_vsw longname: Time-maximum volumetric soil moisture units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237078 shortname: max_sd longname: Time-maximum snow depth water equivalent units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237079 shortname: max_skt longname: Time-maximum skin temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237080 shortname: max_rsn longname: Time-maximum snow density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237083 shortname: max_ci longname: Time-maximum sea ice area fraction units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237084 shortname: max_sst longname: Time-maximum sea surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237085 shortname: max_lai_lv longname: Time-maximum leaf area index, low vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237086 shortname: max_lai_hv longname: Time-maximum leaf area index, high vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237087 shortname: max_tclw longname: Time-maximum total column cloud liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237088 shortname: max_tciw longname: Time-maximum total column cloud ice water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237089 shortname: max_2sh longname: Time-maximum 2 metre specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237090 shortname: max_lmlt longname: Time-maximum lake mix-layer temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237091 shortname: max_lmld longname: Time-maximum lake mix-layer depth units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237092 shortname: max_2r longname: Time-maximum 2 metre relative humidity units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237093 shortname: max_fscov longname: Time-maximum fraction of snow cover units: Proportion description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237094 shortname: max_sot longname: Time-maximum soil temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237097 shortname: max_ws longname: Time-maximum wind speed units: m s**-1 description: null access_ids: [] origin_ids: - -50 - 0 table: 237 mars_request_context: [] - id: 237098 shortname: max_pres longname: Time-maximum pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237099 shortname: max_chnk longname: Time-maximum charnock units: Numeric description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237100 shortname: max_pv longname: Time-maximum potential vorticity units: K m**2 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237101 shortname: max_crwc longname: Time-maximum specific rain water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237102 shortname: max_cswc longname: Time-maximum specific snow water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237103 shortname: max_etadot longname: Time-maximum eta-coordinate vertical velocity units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237105 shortname: max_vis longname: Time-maximum visibility units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237106 shortname: max_wdir longname: Time-maximum wind direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237107 shortname: max_tcsw longname: Time-maximum total column snow water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237108 shortname: max_lcc longname: Time-maximum low cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237109 shortname: max_mcc longname: Time-maximum medium cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237110 shortname: max_hcc longname: Time-maximum high cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237111 shortname: max_tcrw longname: Time-maximum total column rain water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237117 shortname: max_mucape longname: Time-maximum most-unstable CAPE units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: - *id042 - *id046 - *id050 - id: 237120 shortname: max_tcolg longname: Time-maximum total column vertically-integrated graupel (snow pellets) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237129 shortname: max_z longname: Time-maximum geopotential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237130 shortname: max_t longname: Time-maximum temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237131 shortname: max_u longname: Time-maximum u component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237132 shortname: max_v longname: Time-maximum v component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237133 shortname: max_q longname: Time-maximum specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237134 shortname: max_sp longname: Time-maximum surface pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237135 shortname: max_w longname: Time-maximum vertical velocity units: Pa s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237136 shortname: max_tcw longname: Time-maximum total column water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237137 shortname: max_tcwv longname: Time-maximum total column vertically-integrated water vapour units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237138 shortname: max_vo longname: Time-maximum vorticity (relative) units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237151 shortname: max_msl longname: Time-maximum mean sea level pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237152 shortname: max_lnsp longname: Time-maximum logarithm of surface pressure units: Numeric description: null access_ids: [] origin_ids: - -60 - -50 - 98 table: 237 mars_request_context: [] - id: 237155 shortname: max_d longname: Time-maximum divergence units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237157 shortname: max_r longname: Time-maximum relative humidity units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237159 shortname: max_blh longname: Time-maximum boundary layer height units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237165 shortname: max_10u longname: Time-maximum 10 metre U wind component units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237166 shortname: max_10v longname: Time-maximum 10 metre V wind component units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237167 shortname: max_2t longname: Time-maximum 2 metre temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237168 shortname: max_2d longname: Time-maximum 2 metre dewpoint temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237189 shortname: max_suns longname: Time-maximum sunshine units: Numeric description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237203 shortname: max_o3 longname: Time-maximum ozone mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237207 shortname: max_10si longname: Time-maximum 10 metre wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237238 shortname: max_tsn longname: Time-maximum temperature of snow layer units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237244 shortname: max_fsr longname: Time-maximum forecast surface roughness units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237245 shortname: max_flsr longname: Time-maximum forecast logarithm of surface roughness for heat units: Numeric description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237246 shortname: max_clwc longname: Time-maximum specific cloud liquid water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237247 shortname: max_ciwc longname: Time-maximum specific cloud ice water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237248 shortname: max_cc longname: Time-maximum fraction of cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237257 shortname: max_kx longname: Time-maximum k index units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237258 shortname: max_totalx longname: Time-maximum total totals index units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237261 shortname: max_10wdir longname: Time-maximum 10 metre wind direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237262 shortname: max_cat longname: Time-maximum clear air turbulence (CAT) units: m**2/3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237263 shortname: max_al longname: Time-maximum forecast albedo units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237269 shortname: max_pt longname: Time-maximum potential temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237281 shortname: max_aluvp_p longname: Time-maximum UV visible albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237282 shortname: max_aluvd_p longname: Time-maximum UV visible albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237283 shortname: max_alnip_p longname: Time-maximum near IR albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237284 shortname: max_alnid_p longname: Time-maximum near IR albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237285 shortname: max_asn longname: Time-maximum snow albedo units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237286 shortname: max_mont longname: Time-maximum montgomery potential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237287 shortname: max_cape longname: Time-maximum convective available potential energy units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237288 shortname: max_tcc longname: Time-maximum total cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237289 shortname: max_srcon longname: Time-maximum skin reservoir content units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237290 shortname: max_tcioz longname: Time-maximum total column integrated ozone units: DU description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237291 shortname: max_vike longname: Time-maximum total column vertically-integrated kinetic energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237292 shortname: max_vithe longname: Time-maximum total column vertically-integrated enthalpy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237293 shortname: max_vipie longname: Time-maximum total column vertically-integrated potential + internal energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237294 shortname: max_vipile longname: Time-maximum total column vertically-integrated potential+internal+latent energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237295 shortname: max_vitoe longname: Time-maximum total column vertically-integrated total energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237296 shortname: max_viwe longname: Time-maximum total column vertically-integrated water enthalpy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237297 shortname: max_aluvpi_p longname: Time-maximum UV visible albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237298 shortname: max_aluvpv_p longname: Time-maximum UV visible albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237299 shortname: max_aluvpg_p longname: Time-maximum UV visible albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237300 shortname: max_alnipi_p longname: Time-maximum near IR albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237301 shortname: max_alnipv_p longname: Time-maximum near IR albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237302 shortname: max_alnipg_p longname: Time-maximum near IR albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237303 shortname: max_cin longname: Time-maximum convective inhibition units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237304 shortname: max_zust longname: Time-maximum friction velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237305 shortname: max_lblt longname: Time-maximum lake bottom temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237306 shortname: max_ltlt longname: Time-maximum lake total layer temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237307 shortname: max_lshf longname: Time-maximum lake shape factor units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237308 shortname: max_lict longname: Time-maximum lake ice surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237309 shortname: max_licd longname: Time-maximum lake ice total depth units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237310 shortname: max_dndzn longname: Time-maximum minimum vertical gradient of refractivity inside trapping layer units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237311 shortname: max_dndza longname: Time-maximum mean vertical gradient of refractivity inside trapping layer units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237312 shortname: max_dctb longname: Time-maximum duct base height units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237313 shortname: max_tplb longname: Time-maximum trapping layer base height units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237314 shortname: max_tplt longname: Time-maximum trapping layer top height units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237315 shortname: max_degm10l longname: Time-maximum geometric height of -10 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237316 shortname: max_cbh longname: Time-maximum cloud base height units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237317 shortname: max_deg0l longname: Time-maximum geometric height of 0 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237318 shortname: max_i10fg longname: Time-maximum 10 metre wind gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237319 shortname: max_rhw longname: Time-maximum relative humidity with respect to water units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237320 shortname: max_2rhw longname: Time-maximum 2 metre relative humidity with respect to water units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237321 shortname: max_capes longname: Time-maximum convective available potential energy shear units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237322 shortname: max_trpp longname: Time-maximum tropopause pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237323 shortname: max_hcct longname: Time-maximum height of convective cloud top units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237324 shortname: max_hwbt0 longname: Time-maximum height of zero-degree wet-bulb temperature units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237325 shortname: max_hwbt1 longname: Time-maximum height of one-degree wet-bulb temperature units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237326 shortname: max_litoti longname: Time-maximum total lightning flash density units: km**-2 day**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237327 shortname: max_tcslw longname: Time-maximum total column supercooled liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237328 shortname: max_u10n longname: Time-maximum 10 metre U-component of neutral wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237329 shortname: max_v10n longname: Time-maximum 10 metre V-component of neutral wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237330 shortname: max_crr longname: Time-maximum convective rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237331 shortname: max_lsrr longname: Time-maximum large scale rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237332 shortname: max_mlcape50 longname: Time-maximum mixed-layer CAPE in the lowest 50 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237333 shortname: max_mlcin50 longname: Time-maximum mixed-layer CIN in the lowest 50 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237334 shortname: max_mlcape100 longname: Time-maximum mixed-layer CAPE in the lowest 100 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237335 shortname: max_mlcin100 longname: Time-maximum mixed-layer CIN in the lowest 100 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237336 shortname: max_mudlp longname: Time-maximum departure level of the most unstable parcel expressed as Pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237337 shortname: max_ceil longname: Time-maximum ceiling units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237338 shortname: max_tcsqw longname: Time-maximum total column integrated saturation specific humidity with respect to water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237339 shortname: max_sdirnswrf longname: Time-maximum surface direct normal short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237340 shortname: max_cossza longname: Time-maximum cosine of solar zenith angle units: Numeric description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237341 shortname: max_fprate longname: Time-maximum freezing rain precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237342 shortname: max_vige longname: Time-maximum total column vertically-integrated eastward geopotential flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237343 shortname: max_vign longname: Time-maximum total column vertically-integrated northward geopotential flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237344 shortname: max_viwgd longname: Time-maximum total column vertically-integrated divergence of water geopotential flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237345 shortname: max_vigd longname: Time-maximum total column vertically-integrated divergence of geopotential flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237346 shortname: max_viee longname: Time-maximum total column vertically-integrated eastward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237347 shortname: max_vien longname: Time-maximum total column vertically-integrated northward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237348 shortname: max_vikee longname: Time-maximum total column vertically-integrated eastward kinetic energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237349 shortname: max_viken longname: Time-maximum total column vertically-integrated northward kinetic energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237350 shortname: max_vitee longname: Time-maximum total column vertically-integrated eastward total energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237351 shortname: max_viten longname: Time-maximum total column vertically-integrated northward total energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237352 shortname: max_vied longname: Time-maximum total column vertically-integrated divergence of enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237353 shortname: max_viked longname: Time-maximum total column vertically-integrated divergence of kinetic energy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237354 shortname: max_vited longname: Time-maximum total column vertically-integrated divergence of total energy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237355 shortname: max_viwed longname: Time-maximum total column vertically-integrated divergence of water enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237356 shortname: max_vimad longname: Time-maximum total column vertically-integrated divergence of mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237357 shortname: max_vimae longname: Time-maximum total column vertically-integrated eastward mass flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237358 shortname: max_viman longname: Time-maximum total column vertically-integrated northward mass flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237359 shortname: max_viwvd longname: Time-maximum total column vertically-integrated divergence of water vapour flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237360 shortname: max_viclwd longname: Time-maximum total column vertically-integrated divergence of cloud liquid water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237361 shortname: max_viciwd longname: Time-maximum total column vertically-integrated divergence of cloud ice water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237362 shortname: max_vird longname: Time-maximum total column vertically-integrated divergence of rain flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237363 shortname: max_visd longname: Time-maximum total column vertically-integrated divergence of snow flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237364 shortname: max_viwve longname: Time-maximum total column vertically-integrated eastward water vapour flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237365 shortname: max_viwvn longname: Time-maximum total column vertically-integrated northward water vapour flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237366 shortname: max_viclwe longname: Time-maximum total column vertically-integrated eastward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237367 shortname: max_viclwn longname: Time-maximum total column vertically-integrated northward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237368 shortname: max_viciwe longname: Time-maximum total column vertically-integrated eastward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237369 shortname: max_viciwn longname: Time-maximum total column vertically-integrated northward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237370 shortname: max_vire longname: Time-maximum total column vertically-integrated eastward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237371 shortname: max_virn longname: Time-maximum total column vertically-integrated northward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237372 shortname: max_vise longname: Time-maximum total column vertically-integrated eastward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237373 shortname: max_visn longname: Time-maximum total column vertically-integrated northward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237374 shortname: max_vioze longname: Time-maximum total column vertically-integrated eastward ozone flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237375 shortname: max_viozn longname: Time-maximum total column vertically-integrated northward ozone flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237376 shortname: max_viozd longname: Time-maximum total column vertically-integrated divergence of ozone flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237377 shortname: max_vions longname: Time-maximum total column vertically-integrated net source of ozone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237378 shortname: max_ietssofd longname: Time-maximum eastward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237379 shortname: max_intssofd longname: Time-maximum northward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237380 shortname: max_ietsssr longname: Time-maximum eastward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237381 shortname: max_intsssr longname: Time-maximum northward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237382 shortname: max_visp longname: Time-maximum visibility through precipitation units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237383 shortname: max_licgi longname: Time-maximum cloud-to-ground lightning flash density units: km**-2 day**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237384 shortname: max_10efg longname: Time-maximum 10 metre eastward wind gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237385 shortname: max_10nfg longname: Time-maximum 10 metre northward wind gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237386 shortname: max_lshnf longname: Time-maximum land surface heat net flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237387 shortname: max_sdirnswrfcs longname: Time-maximum surface direct normal short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237388 shortname: max_10cogu longname: Time-maximum 10 metre convective gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237389 shortname: max_10tugu longname: Time-maximum 10 metre turbulent gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237390 shortname: max_h0thg longname: Time-maximum geometric height of 0 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237391 shortname: max_h1thg longname: Time-maximum geometric height of 1 degree C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237392 shortname: max_h1p5thg longname: Time-maximum geometric height of 1.5 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237393 shortname: max_veg longname: Time-maximum vegetation units: '%' description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237394 shortname: max_lai longname: Time-maximum leaf area index units: Numeric description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237395 shortname: max_srhe longname: Time-maximum surface roughness for heat units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237396 shortname: max_rol longname: Time-maximum Reciprocal Obukhov length units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237397 shortname: max_deg3l longname: Time-maximum geometric height of 3 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237404 shortname: max_sdifswrfcs longname: Time-maximum surface diffuse short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237405 shortname: max_vswrz longname: Time-maximum volumetric soil moisture (root zone) units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237406 shortname: max_lwcs longname: Time-maximum liquid water content in snow pack units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237407 shortname: max_mucin longname: Time-maximum most-unstable CIN units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237408 shortname: max_crwc_conv longname: Time-maximum specific rain water content (convective) units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237409 shortname: max_cswc_conv longname: Time-maximum specific snow water content (convective) units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237410 shortname: max_mld longname: Time-maximum mixed layer depth units: m description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 237411 shortname: max_cur longname: Time-maximum urban cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 237 mars_request_context: [] - id: 238001 shortname: min_ttswr longname: Time-minimum temperature tendency due to short-wave radiation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238002 shortname: min_ttlwr longname: Time-minimum temperature tendency due to long-wave radiation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238003 shortname: min_ttswrcs longname: Time-minimum temperature tendency due to short wave radiation, clear sky units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238004 shortname: min_ttlwrcs longname: Time-minimum temperature tendency due to long-wave radiation, clear sky units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238005 shortname: min_ttpm longname: Time-minimum temperature tendency due to parametrisations units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238006 shortname: min_qtpm longname: Time-minimum specific humidity tendency due to parametrisations units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238007 shortname: min_utpm longname: Time-minimum eastward wind tendency due to parametrisations units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238008 shortname: min_vtpm longname: Time-minimum northward wind tendency due to parametrisations units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238009 shortname: min_umf longname: Time-minimum updraught mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238010 shortname: min_dmf longname: Time-minimum downdraught mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238011 shortname: min_udr longname: Time-minimum updraught detrainment rate units: kg m**-3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238012 shortname: min_ddr longname: Time-minimum downdraught detrainment rate units: kg m**-3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238013 shortname: min_tpf longname: Time-minimum total precipitation flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238014 shortname: min_tdch longname: Time-minimum turbulent diffusion coefficient for heat units: m**2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238022 shortname: min_parcsf longname: Time-minimum surface photosynthetically active radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238023 shortname: min_esrwe longname: Time-minimum snow evaporation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238024 shortname: min_smr longname: Time-minimum snowmelt rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238025 shortname: min_imagss longname: Time-minimum magnitude of turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238026 shortname: min_ilspf longname: Time-minimum large-scale precipitation fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238027 shortname: min_sduvrf longname: Time-minimum surface downward UV radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238028 shortname: min_sparf longname: Time-minimum surface photosynthetically active radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238029 shortname: min_lsprate longname: Time-minimum large-scale precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238030 shortname: min_cpr longname: Time-minimum convective precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238031 shortname: min_tsrwe longname: Time-minimum snowfall rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238032 shortname: min_ibld longname: Time-minimum boundary layer dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238033 shortname: min_ishf longname: Time-minimum surface sensible heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238034 shortname: min_slhtf longname: Time-minimum surface latent heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238035 shortname: min_sdswrf longname: Time-minimum surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238036 shortname: min_sdlwrf longname: Time-minimum surface downward long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238037 shortname: min_snswrf longname: Time-minimum surface net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238038 shortname: min_snlwrf longname: Time-minimum surface net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238039 shortname: min_tnswrf longname: Time-minimum top net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238040 shortname: min_tnlwrf longname: Time-minimum top net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238041 shortname: min_iews longname: Time-minimum eastward turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238042 shortname: min_inss longname: Time-minimum northward turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238043 shortname: min_ie longname: Time-minimum evaporation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238045 shortname: min_iegwss longname: Time-minimum eastward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238046 shortname: min_ingwss longname: Time-minimum northward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238047 shortname: min_igwd longname: Time-minimum gravity wave dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238048 shortname: min_rorwe longname: Time-minimum runoff rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238049 shortname: min_tnswrfcs longname: Time-minimum top net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238050 shortname: min_tnlwrfcs longname: Time-minimum top net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238051 shortname: min_snswrfcs longname: Time-minimum surface net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238052 shortname: min_snlwrfcs longname: Time-minimum surface net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238053 shortname: min_tdswrf longname: Time-minimum top downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238054 shortname: min_vimdf longname: Time-minimum vertically integrated moisture divergence units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238055 shortname: min_tprate longname: Time-minimum total precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238056 shortname: min_csfr longname: Time-minimum convective snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238057 shortname: min_lssfr longname: Time-minimum large scale snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238058 shortname: min_sdirswrf longname: Time-minimum surface direct short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238059 shortname: min_sdirswrfcs longname: Time-minimum surface direct short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238062 shortname: min_fco2nee longname: Time-minimum carbon dioxide net ecosystem exchange flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238063 shortname: min_fco2gpp longname: Time-minimum carbon dioxide gross primary production flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238064 shortname: min_fco2rec longname: Time-minimum carbon dioxide ecosystem respiration flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238068 shortname: min_sdswrfcs longname: Time-minimum surface downward short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238069 shortname: min_sdlwrfcs longname: Time-minimum surface downward long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238070 shortname: min_pevr longname: Time-minimum potential evaporation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238077 shortname: min_vsw longname: Time-minimum volumetric soil moisture units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238078 shortname: min_sd longname: Time-minimum snow depth water equivalent units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238079 shortname: min_skt longname: Time-minimum skin temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238080 shortname: min_rsn longname: Time-minimum snow density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238083 shortname: min_ci longname: Time-minimum sea ice area fraction units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238084 shortname: min_sst longname: Time-minimum sea surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238085 shortname: min_lai_lv longname: Time-minimum leaf area index, low vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238086 shortname: min_lai_hv longname: Time-minimum leaf area index, high vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238087 shortname: min_tclw longname: Time-minimum total column cloud liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238088 shortname: min_tciw longname: Time-minimum total column cloud ice water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238089 shortname: min_2sh longname: Time-minimum 2 metre specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238090 shortname: min_lmlt longname: Time-minimum lake mix-layer temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238091 shortname: min_lmld longname: Time-minimum lake mix-layer depth units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238092 shortname: min_2r longname: Time-minimum 2 metre relative humidity units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238093 shortname: min_fscov longname: Time-minimum fraction of snow cover units: Proportion description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238094 shortname: min_sot longname: Time-minimum soil temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238097 shortname: min_ws longname: Time-minimum wind speed units: m s**-1 description: null access_ids: [] origin_ids: - -50 - 0 table: 238 mars_request_context: [] - id: 238098 shortname: min_pres longname: Time-minimum pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238099 shortname: min_chnk longname: Time-minimum charnock units: Numeric description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238100 shortname: min_pv longname: Time-minimum potential vorticity units: K m**2 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238101 shortname: min_crwc longname: Time-minimum specific rain water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238102 shortname: min_cswc longname: Time-minimum specific snow water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238103 shortname: min_etadot longname: Time-minimum eta-coordinate vertical velocity units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238105 shortname: min_vis longname: Time-minimum visibility units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238106 shortname: min_wdir longname: Time-minimum wind direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238107 shortname: min_tcsw longname: Time-minimum total column snow water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238108 shortname: min_lcc longname: Time-minimum low cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238109 shortname: min_mcc longname: Time-minimum medium cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238110 shortname: min_hcc longname: Time-minimum high cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238111 shortname: min_tcrw longname: Time-minimum total column rain water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238117 shortname: min_mucape longname: Time-minimum most-unstable CAPE units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: - *id044 - *id048 - *id052 - id: 238120 shortname: min_tcolg longname: Time-minimum total column vertically-integrated graupel (snow pellets) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238129 shortname: min_z longname: Time-minimum geopotential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238130 shortname: min_t longname: Time-minimum temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238131 shortname: min_u longname: Time-minimum u component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238132 shortname: min_v longname: Time-minimum v component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238133 shortname: min_q longname: Time-minimum specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238134 shortname: min_sp longname: Time-minimum surface pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238135 shortname: min_w longname: Time-minimum vertical velocity units: Pa s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238136 shortname: min_tcw longname: Time-minimum total column water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238137 shortname: min_tcwv longname: Time-minimum total column vertically-integrated water vapour units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238138 shortname: min_vo longname: Time-minimum vorticity (relative) units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238151 shortname: min_msl longname: Time-minimum mean sea level pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238152 shortname: min_lnsp longname: Time-minimum logarithm of surface pressure units: Numeric description: null access_ids: [] origin_ids: - -60 - -50 - 98 table: 238 mars_request_context: [] - id: 238155 shortname: min_d longname: Time-minimum divergence units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238157 shortname: min_r longname: Time-minimum relative humidity units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238159 shortname: min_blh longname: Time-minimum boundary layer height units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238165 shortname: min_10u longname: Time-minimum 10 metre U wind component units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238166 shortname: min_10v longname: Time-minimum 10 metre V wind component units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238167 shortname: min_2t longname: Time-minimum 2 metre temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238168 shortname: min_2d longname: Time-minimum 2 metre dewpoint temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238189 shortname: min_suns longname: Time-minimum sunshine units: Numeric description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238203 shortname: min_o3 longname: Time-minimum ozone mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238207 shortname: min_10si longname: Time-minimum 10 metre wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238238 shortname: min_tsn longname: Time-minimum temperature of snow layer units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238244 shortname: min_fsr longname: Time-minimum forecast surface roughness units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238245 shortname: min_flsr longname: Time-minimum forecast logarithm of surface roughness for heat units: Numeric description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238246 shortname: min_clwc longname: Time-minimum specific cloud liquid water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238247 shortname: min_ciwc longname: Time-minimum specific cloud ice water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238248 shortname: min_cc longname: Time-minimum fraction of cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238257 shortname: min_kx longname: Time-minimum k index units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238258 shortname: min_totalx longname: Time-minimum total totals index units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238261 shortname: min_10wdir longname: Time-minimum 10 metre wind direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238262 shortname: min_cat longname: Time-minimum clear air turbulence (CAT) units: m**2/3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238263 shortname: min_al longname: Time-minimum forecast albedo units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238269 shortname: min_pt longname: Time-minimum potential temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238281 shortname: min_aluvp_p longname: Time-minimum UV visible albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238282 shortname: min_aluvd_p longname: Time-minimum UV visible albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238283 shortname: min_alnip_p longname: Time-minimum near IR albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238284 shortname: min_alnid_p longname: Time-minimum near IR albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238285 shortname: min_asn longname: Time-minimum snow albedo units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238286 shortname: min_mont longname: Time-minimum montgomery potential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238287 shortname: min_cape longname: Time-minimum convective available potential energy units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238288 shortname: min_tcc longname: Time-minimum total cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238289 shortname: min_srcon longname: Time-minimum skin reservoir content units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238290 shortname: min_tcioz longname: Time-minimum total column integrated ozone units: DU description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238291 shortname: min_vike longname: Time-minimum total column vertically-integrated kinetic energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238292 shortname: min_vithe longname: Time-minimum total column vertically-integrated enthalpy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238293 shortname: min_vipie longname: Time-minimum total column vertically-integrated potential + internal energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238294 shortname: min_vipile longname: Time-minimum vertical integral of potential+internal+latent energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238295 shortname: min_vitoe longname: Time-minimum total column vertically-integrated total energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238296 shortname: min_viwe longname: Time-minimum total column vertically-integrated water enthalpy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238297 shortname: min_aluvpi_p longname: Time-minimum UV visible albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238298 shortname: min_aluvpv_p longname: Time-minimum UV visible albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238299 shortname: min_aluvpg_p longname: Time-minimum UV visible albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238300 shortname: min_alnipi_p longname: Time-minimum near IR albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238301 shortname: min_alnipv_p longname: Time-minimum near IR albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238302 shortname: min_alnipg_p longname: Time-minimum near IR albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238303 shortname: min_cin longname: Time-minimum convective inhibition units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238304 shortname: min_zust longname: Time-minimum friction velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238305 shortname: min_lblt longname: Time-minimum lake bottom temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238306 shortname: min_ltlt longname: Time-minimum lake total layer temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238307 shortname: min_lshf longname: Time-minimum lake shape factor units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238308 shortname: min_lict longname: Time-minimum lake ice surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238309 shortname: min_licd longname: Time-minimum lake ice total depth units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238310 shortname: min_dndzn longname: Time-minimum minimum vertical gradient of refractivity inside trapping layer units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238311 shortname: min_dndza longname: Time-minimum mean vertical gradient of refractivity inside trapping layer units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238312 shortname: min_dctb longname: Time-minimum duct base height units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238313 shortname: min_tplb longname: Time-minimum trapping layer base height units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238314 shortname: min_tplt longname: Time-minimum trapping layer top height units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238315 shortname: min_degm10l longname: Time-minimum geometric height of -10 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238316 shortname: min_cbh longname: Time-minimum cloud base height units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238317 shortname: min_deg0l longname: Time-minimum geometric height of 0 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238318 shortname: min_i10fg longname: Time-minimum 10 metre wind gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238319 shortname: min_rhw longname: Time-minimum relative humidity with respect to water units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238320 shortname: min_2rhw longname: Time-minimum 2 metre relative humidity with respect to water units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238321 shortname: min_capes longname: Time-minimum convective available potential energy shear units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238322 shortname: min_trpp longname: Time-minimum tropopause pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238323 shortname: min_hcct longname: Time-minimum height of convective cloud top units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238324 shortname: min_hwbt0 longname: Time-minimum height of zero-degree wet-bulb temperature units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238325 shortname: min_hwbt1 longname: Time-minimum height of one-degree wet-bulb temperature units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238326 shortname: min_litoti longname: Time-minimum total lightning flash density units: km**-2 day**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238327 shortname: min_tcslw longname: Time-minimum total column supercooled liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238328 shortname: min_u10n longname: Time-minimum 10 metre U-component of neutral wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238329 shortname: min_v10n longname: Time-minimum 10 metre V-component of neutral wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238330 shortname: min_crr longname: Time-minimum convective rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238331 shortname: min_lsrr longname: Time-minimum large scale rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238332 shortname: min_mlcape50 longname: Time-minimum mixed-layer CAPE in the lowest 50 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238333 shortname: min_mlcin50 longname: Time-minimum mixed-layer CIN in the lowest 50 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238334 shortname: min_mlcape100 longname: Time-minimum mixed-layer CAPE in the lowest 100 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238335 shortname: min_mlcin100 longname: Time-minimum mixed-layer CIN in the lowest 100 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238336 shortname: min_mudlp longname: Time-minimum departure level of the most unstable parcel expressed as Pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238337 shortname: min_ceil longname: Time-minimum ceiling units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238338 shortname: min_tcsqw longname: Time-minimum total column integrated saturation specific humidity with respect to water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238339 shortname: min_sdirnswrf longname: Time-minimum direct solar radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238340 shortname: min_cossza longname: Time-minimum cosine of solar zenith angle units: Numeric description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238341 shortname: min_fprate longname: Time-minimum freezing rain rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238342 shortname: min_vige longname: Time-minimum total column vertically-integrated eastward geopotential flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238343 shortname: min_vign longname: Time-minimum total column vertically-integrated northward geopotential flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238344 shortname: min_viwgd longname: Time-minimum total column vertically-integrated divergence of water geopotential flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238345 shortname: min_vigd longname: Time-minimum total column vertically-integrated divergence of geopotential flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238346 shortname: min_viee longname: Time-minimum total column vertically-integrated eastward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238347 shortname: min_vien longname: Time-minimum total column vertically-integrated northward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238348 shortname: min_vikee longname: Time-minimum total column vertically-integrated eastward kinetic energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238349 shortname: min_viken longname: Time-minimum total column vertically-integrated northward kinetic energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238350 shortname: min_vitee longname: Time-minimum total column vertically-integrated eastward total energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238351 shortname: min_viten longname: Time-minimum total column vertically-integrated northward total energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238352 shortname: min_vied longname: Time-minimum total column vertically-integrated divergence of enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238353 shortname: min_viked longname: Time-minimum total column vertically-integrated divergence of kinetic energy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238354 shortname: min_vited longname: Time-minimum total column vertically-integrated divergence of total energy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238355 shortname: min_viwed longname: Time-minimum total column vertically-integrated divergence of water enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238356 shortname: min_vimad longname: Time-minimum vertically integrated divergence of mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238357 shortname: min_vimae longname: Time-minimum vertically integrated eastward mass flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238358 shortname: min_viman longname: Time-minimum vertically integrated northward mass flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238359 shortname: min_viwvd longname: Time-minimum vertically integrated divergence of water vapour flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238360 shortname: min_viclwd longname: Time-minimum vertically integrated divergence of cloud liquid water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238361 shortname: min_viciwd longname: Time-minimum vertically integrated divergence of cloud ice water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238362 shortname: min_vird longname: Time-minimum vertically integrated divergence of rain flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238363 shortname: min_visd longname: Time-minimum vertically integrated divergence of snow flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238364 shortname: min_viwve longname: Time-minimum vertically integrated eastward water vapour flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238365 shortname: min_viwvn longname: Time-minimum vertically integrated northward water vapour flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238366 shortname: min_viclwe longname: Time-minimum vertically integrated eastward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238367 shortname: min_viclwn longname: Time-minimum vertically integrated northward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238368 shortname: min_viciwe longname: Time-minimum vertically integrated eastward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238369 shortname: min_viciwn longname: Time-minimum vertically integrated northward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238370 shortname: min_vire longname: Time-minimum vertically integrated eastward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238371 shortname: min_virn longname: Time-minimum vertically integrated northward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238372 shortname: min_vise longname: Time-minimum vertically integrated eastward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238373 shortname: min_visn longname: Time-minimum vertically integrated northward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238374 shortname: min_vioze longname: Time-minimum vertically integrated eastward ozone flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238375 shortname: min_viozn longname: Time-minimum vertically integrated northward ozone flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238376 shortname: min_viozd longname: Time-minimum vertically integrated divergence of ozone flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238377 shortname: min_vions longname: Time-minimum vertically integrated net source of ozone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238378 shortname: min_ietssofd longname: Time-minimum eastward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238379 shortname: min_intssofd longname: Time-minimum northward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238380 shortname: min_ietsssr longname: Time-minimum eastward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238381 shortname: min_intsssr longname: Time-minimum northward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238382 shortname: min_visp longname: Time-minimum visibility through precipitation units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238383 shortname: min_licgi longname: Time-minimum cloud-to-ground lightning flash density units: km**-2 day**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238386 shortname: min_lshnf longname: Time-minimum land surface heat net flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238387 shortname: min_sdirnswrfcs longname: Time-minimum surface direct normal short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238388 shortname: min_10cogu longname: Time-minimum 10 metre convective gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238389 shortname: min_10tugu longname: Time-minimum 10 metre turbulent gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238390 shortname: min_h0thg longname: Time-minimum geometric height of 0 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238391 shortname: min_h1thg longname: Time-minimum geometric height of 1 degree C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238392 shortname: min_h1p5thg longname: Time-minimum geometric height of 1.5 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238393 shortname: min_veg longname: Time-minimum vegetation units: '%' description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238394 shortname: min_lai longname: Time-minimum leaf area index units: Numeric description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238395 shortname: min_srhe longname: Time-minimum surface roughness for heat units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238396 shortname: min_rol longname: Time-minimum Reciprocal Obukhov length units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238397 shortname: min_deg3l longname: Time-minimum geometric height of 3 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238404 shortname: min_sdifswrfcs longname: Time-minimum surface diffuse short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238405 shortname: min_vswrz longname: Time-minimum volumetric soil moisture (root zone) units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238406 shortname: min_lwcs longname: Time-minimum liquid water content in snow pack units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238407 shortname: min_mucin longname: Time-minimum most-unstable CIN units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238408 shortname: min_crwc_conv longname: Time-minimum specific rain water content (convective) units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238409 shortname: min_cswc_conv longname: Time-minimum specific snow water content (convective) units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238410 shortname: min_mld longname: Time-minimum mixed layer depth units: m description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 238411 shortname: min_cur longname: Time-minimum urban cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 238 mars_request_context: [] - id: 239001 shortname: std_ttswr longname: Time-standard-deviation temperature tendency due to short-wave radiation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239002 shortname: std_ttlwr longname: Time-standard-deviation temperature tendency due to long-wave radiation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239003 shortname: std_ttswrcs longname: Time-standard-deviation temperature tendency due to short wave radiation, clear sky units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239004 shortname: std_ttlwrcs longname: Time-standard-deviation temperature tendency due to long-wave radiation, clear sky units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239005 shortname: std_ttpm longname: Time-standard-deviation temperature tendency due to parametrisations units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239006 shortname: std_qtpm longname: Time-standard-deviation specific humidity tendency due to parametrisations units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239007 shortname: std_utpm longname: Time-standard-deviation eastward wind tendency due to parametrisations units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239008 shortname: std_vtpm longname: Time-standard-deviation northward wind tendency due to parametrisations units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239009 shortname: std_umf longname: Time-standard-deviation updraught mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239010 shortname: std_dmf longname: Time-standard-deviation downdraught mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239011 shortname: std_udr longname: Time-standard-deviation updraught detrainment rate units: kg m**-3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239012 shortname: std_ddr longname: Time-standard-deviation downdraught detrainment rate units: kg m**-3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239013 shortname: std_tpf longname: Time-standard-deviation total precipitation flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239014 shortname: std_tdch longname: Time-standard-deviation turbulent diffusion coefficient for heat units: m**2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239022 shortname: std_parcsf longname: Time-standard-deviation surface photosynthetically active radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239023 shortname: std_esrwe longname: Time-standard-deviation snow evaporation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239024 shortname: std_smr longname: Time-standard-deviation snowmelt rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239025 shortname: std_imagss longname: Time-standard-deviation magnitude of turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239026 shortname: std_ilspf longname: Time-standard-deviation large-scale precipitation fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239027 shortname: std_sduvrf longname: Time-standard-deviation surface downward UV radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239028 shortname: std_sparf longname: Time-standard-deviation surface photosynthetically active radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239029 shortname: std_lsprate longname: Time-standard-deviation large-scale precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239030 shortname: std_cpr longname: Time-standard-deviation convective precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239031 shortname: std_tsrwe longname: Time-standard-deviation snowfall rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239032 shortname: std_ibld longname: Time-standard-deviation boundary layer dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239033 shortname: std_ishf longname: Time-standard-deviation surface sensible heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239034 shortname: std_slhtf longname: Time-standard-deviation surface latent heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239035 shortname: std_sdswrf longname: Time-standard-deviation surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239036 shortname: std_sdlwrf longname: Time-standard-deviation surface downward long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239037 shortname: std_snswrf longname: Time-standard-deviation surface net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239038 shortname: std_snlwrf longname: Time-standard-deviation surface net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239039 shortname: std_tnswrf longname: Time-standard-deviation top net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239040 shortname: std_tnlwrf longname: Time-standard-deviation top net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239041 shortname: std_iews longname: Time-standard-deviation eastward turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239042 shortname: std_inss longname: Time-standard-deviation northward turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239043 shortname: std_ie longname: Time-standard-deviation evaporation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239045 shortname: std_iegwss longname: Time-standard-deviation eastward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239046 shortname: std_ingwss longname: Time-standard-deviation northward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239047 shortname: std_igwd longname: Time-standard-deviation gravity wave dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239048 shortname: std_rorwe longname: Time-standard-deviation runoff rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239049 shortname: std_tnswrfcs longname: Time-standard-deviation top net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239050 shortname: std_tnlwrfcs longname: Time-standard-deviation top net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239051 shortname: std_snswrfcs longname: Time-standard-deviation surface net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239052 shortname: std_snlwrfcs longname: Time-standard-deviation surface net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239053 shortname: std_tdswrf longname: Time-standard-deviation top downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239054 shortname: std_vimdf longname: Time-standard-deviation vertically integrated moisture divergence units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239055 shortname: std_tprate longname: Time-standard-deviation total precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239056 shortname: std_csfr longname: Time-standard-deviation convective snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239057 shortname: std_lssfr longname: Time-standard-deviation large scale snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239058 shortname: std_sdirswrf longname: Time-standard-deviation surface direct short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239059 shortname: std_sdirswrfcs longname: Time-standard-deviation surface direct short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239062 shortname: std_fco2nee longname: Time-standard-deviation carbon dioxide net ecosystem exchange flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239063 shortname: std_fco2gpp longname: Time-standard-deviation carbon dioxide gross primary production flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239064 shortname: std_fco2rec longname: Time-standard-deviation carbon dioxide ecosystem respiration flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239068 shortname: std_sdswrfcs longname: Time-standard-deviation surface downward short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239069 shortname: std_sdlwrfcs longname: Time-standard-deviation surface downward long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239070 shortname: std_pevr longname: Time-standard-deviation potential evaporation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239077 shortname: std_vsw longname: Time-standard-deviation volumetric soil moisture units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239078 shortname: std_sd longname: Time-standard-deviation snow depth water equivalent units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239079 shortname: std_skt longname: Time-standard-deviation skin temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239080 shortname: std_rsn longname: Time-standard-deviation snow density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239083 shortname: std_ci longname: Time-standard-deviation sea ice area fraction units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239084 shortname: std_sst longname: Time-standard-deviation sea surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239085 shortname: std_lai_lv longname: Time-standard-deviation leaf area index, low vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239086 shortname: std_lai_hv longname: Time-standard-deviation leaf area index, high vegetation units: m**2 m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239087 shortname: std_tclw longname: Time-standard-deviation total column cloud liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239088 shortname: std_tciw longname: Time-standard-deviation total column cloud ice water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239089 shortname: std_2sh longname: Time-standard-deviation 2 metre specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239090 shortname: std_lmlt longname: Time-standard-deviation lake mix-layer temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239091 shortname: std_lmld longname: Time-standard-deviation lake mix-layer depth units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239093 shortname: std_fscov longname: Time-standard-deviation fraction of snow cover units: Proportion description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239094 shortname: std_sot longname: Time-standard-deviation soil temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239097 shortname: std_ws longname: Time-standard-deviation wind speed units: m s**-1 description: null access_ids: [] origin_ids: - -50 - 0 table: 239 mars_request_context: [] - id: 239098 shortname: std_pres longname: Time-standard-deviation pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239099 shortname: std_chnk longname: Time-standard-deviation charnock units: Numeric description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239100 shortname: std_pv longname: Time-standard-deviation potential vorticity units: K m**2 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239101 shortname: std_crwc longname: Time-standard-deviation specific rain water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239102 shortname: std_cswc longname: Time-standard-deviation specific snow water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239103 shortname: std_etadot longname: Time-standard-deviation eta-coordinate vertical velocity units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239105 shortname: std_vis longname: Time-standard-deviation visibility units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239106 shortname: std_wdir longname: Time-standard-deviation wind direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239107 shortname: std_tcsw longname: Time-standard-deviation total column snow water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239108 shortname: std_lcc longname: Time-standard-deviation low cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239109 shortname: std_mcc longname: Time-standard-deviation medium cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239110 shortname: std_hcc longname: Time-standard-deviation high cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239111 shortname: std_tcrw longname: Time-standard-deviation total column rain water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239117 shortname: std_mucape longname: Time-standard-deviation most-unstable CAPE units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: - *id045 - *id049 - *id053 - id: 239120 shortname: std_tcolg longname: Time-standard-deviation total column vertically-integrated graupel (snow pellets) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239129 shortname: std_z longname: Time-standard-deviation geopotential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239130 shortname: std_t longname: Time-standard-deviation temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239131 shortname: std_u longname: Time-standard-deviation u component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239132 shortname: std_v longname: Time-standard-deviation v component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239133 shortname: std_q longname: Time-standard-deviation specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239134 shortname: std_sp longname: Time-standard-deviation surface pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239135 shortname: std_w longname: Time-standard-deviation vertical velocity units: Pa s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239136 shortname: std_tcw longname: Time-standard-deviation total column water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239137 shortname: std_tcwv longname: Time-standard-deviation total column vertically-integrated water vapour units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239138 shortname: std_vo longname: Time-standard-deviation vorticity (relative) units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239151 shortname: std_msl longname: Time-standard-deviation mean sea level pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239152 shortname: std_lnsp longname: Time-standard-deviation logarithm of surface pressure units: Numeric description: null access_ids: [] origin_ids: - -60 - -50 - 98 table: 239 mars_request_context: [] - id: 239155 shortname: std_d longname: Time-standard-deviation divergence units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239157 shortname: std_r longname: Time-standard-deviation relative humidity units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239159 shortname: std_blh longname: Time-standard-deviation boundary layer height units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239165 shortname: std_10u longname: Time-standard-deviation 10 metre U wind component units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239166 shortname: std_10v longname: Time-standard-deviation 10 metre V wind component units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239167 shortname: std_2t longname: Time-standard-deviation 2 metre temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239168 shortname: std_2d longname: Time-standard-deviation 2 metre dewpoint temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239189 shortname: std_suns longname: Time-standard-deviation sunshine units: Numeric description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239203 shortname: std_o3 longname: Time-standard-deviation ozone mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239207 shortname: std_10si longname: Time-standard-deviation 10 metre wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239238 shortname: std_tsn longname: Time-standard-deviation temperature of snow layer units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239244 shortname: std_fsr longname: Time-standard-deviation forecast surface roughness units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239245 shortname: std_flsr longname: Time-standard-deviation forecast logarithm of surface roughness for heat units: Numeric description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239246 shortname: std_clwc longname: Time-standard-deviation specific cloud liquid water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239247 shortname: std_ciwc longname: Time-standard-deviation specific cloud ice water content units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239248 shortname: std_cc longname: Time-standard-deviation fraction of cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239257 shortname: std_kx longname: Time-standard-deviation k index units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239258 shortname: std_totalx longname: Time-standard-deviation total totals index units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239261 shortname: std_10wdir longname: Time-standard-deviation 10 metre wind direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239262 shortname: std_cat longname: Time-standard-deviation clear air turbulence (CAT) units: m**2/3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239263 shortname: std_al longname: Time-standard-deviation forecast albedo units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239269 shortname: std_pt longname: Time-standard-deviation potential temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239281 shortname: std_aluvp_p longname: Time-standard-deviation UV visible albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239282 shortname: std_aluvd_p longname: Time-standard-deviation UV visible albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239283 shortname: std_alnip_p longname: Time-standard-deviation near IR albedo for direct radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239284 shortname: std_alnid_p longname: Time-standard-deviation near IR albedo for diffuse radiation (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239285 shortname: std_asn longname: Time-standard-deviation snow albedo units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239286 shortname: std_mont longname: Time-standard-deviation montgomery potential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239287 shortname: std_cape longname: Time-standard-deviation convective available potential energy units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239288 shortname: std_tcc longname: Time-standard-deviation total cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239289 shortname: std_srcon longname: Time-standard-deviation skin reservoir content units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239290 shortname: std_tcioz longname: Time-standard-deviation total column integrated ozone units: DU description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239291 shortname: std_vike longname: Time-standard-deviation total column vertically-integrated kinetic energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239292 shortname: std_vithe longname: Time-standard-deviation total column vertically-integrated enthalpy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239293 shortname: std_vipie longname: Time-standard-deviation total column vertically-integrated potential + internal energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239294 shortname: std_vipile longname: Time-standard-deviation vertical integral of potential+internal+latent energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239295 shortname: std_vitoe longname: Time-standard-deviation total column vertically-integrated total energy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239296 shortname: std_viwe longname: Time-standard-deviation total column vertically-integrated water enthalpy units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239297 shortname: std_aluvpi_p longname: Time-standard-deviation UV visible albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239298 shortname: std_aluvpv_p longname: Time-standard-deviation UV visible albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239299 shortname: std_aluvpg_p longname: Time-standard-deviation UV visible albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239300 shortname: std_alnipi_p longname: Time-standard-deviation near IR albedo for direct radiation, isotropic component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239301 shortname: std_alnipv_p longname: Time-standard-deviation near IR albedo for direct radiation, volumetric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239302 shortname: std_alnipg_p longname: Time-standard-deviation near IR albedo for direct radiation, geometric component (climatological) units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239303 shortname: std_cin longname: Time-standard-deviation convective inhibition units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239304 shortname: std_zust longname: Time-standard-deviation friction velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239305 shortname: std_lblt longname: Time-standard-deviation lake bottom temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239306 shortname: std_ltlt longname: Time-standard-deviation lake total layer temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239307 shortname: std_lshf longname: Time-standard-deviation lake shape factor units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239308 shortname: std_lict longname: Time-standard-deviation lake ice surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239309 shortname: std_licd longname: Time-standard-deviation lake ice total depth units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239310 shortname: std_dndzn longname: Time-standard-deviation minimum vertical gradient of refractivity inside trapping layer units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239311 shortname: std_dndza longname: Time-standard-deviation mean vertical gradient of refractivity inside trapping layer units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239312 shortname: std_dctb longname: Time-standard-deviation duct base height units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239313 shortname: std_tplb longname: Time-standard-deviation trapping layer base height units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239314 shortname: std_tplt longname: Time-standard-deviation trapping layer top height units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239315 shortname: std_degm10l longname: Time-standard-deviation geometric height of -10 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239316 shortname: std_cbh longname: Time-standard-deviation cloud base height units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239317 shortname: std_deg0l longname: Time-standard-deviation geometric height of 0 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239318 shortname: std_i10fg longname: Time-standard-deviation 10 metre wind gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239319 shortname: std_rhw longname: Time-standard-deviation relative humidity with respect to water units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239320 shortname: std_2rhw longname: Time-standard-deviation 2 metre relative humidity with respect to water units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239321 shortname: std_capes longname: Time-standard-deviation convective available potential energy shear units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239322 shortname: std_trpp longname: Time-standard-deviation tropopause pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239323 shortname: std_hcct longname: Time-standard-deviation height of convective cloud top units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239324 shortname: std_hwbt0 longname: Time-standard-deviation height of zero-degree wet-bulb temperature units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239325 shortname: std_hwbt1 longname: Time-standard-deviation height of one-degree wet-bulb temperature units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239326 shortname: std_litoti longname: Time-standard-deviation total lightning flash density units: km**-2 day**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239327 shortname: std_tcslw longname: Time-standard-deviation total column supercooled liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239328 shortname: std_u10n longname: Time-standard-deviation 10 metre U-component of neutral wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239329 shortname: std_v10n longname: Time-standard-deviation 10 metre V-component of neutral wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239330 shortname: std_crr longname: Time-standard-deviation convective rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239331 shortname: std_lsrr longname: Time-standard-deviation large scale rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239332 shortname: std_mlcape50 longname: Time-standard-deviation mixed-layer CAPE in the lowest 50 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239333 shortname: std_mlcin50 longname: Time-standard-deviation mixed-layer CIN in the lowest 50 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239334 shortname: std_mlcape100 longname: Time-standard-deviation mixed-layer CAPE in the lowest 100 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239335 shortname: std_mlcin100 longname: Time-standard-deviation mixed-layer CIN in the lowest 100 hPa units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239336 shortname: std_mudlp longname: Time-standard-deviation departure level of the most unstable parcel expressed as Pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239337 shortname: std_ceil longname: Time-standard-deviation ceiling units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239338 shortname: std_tcsqw longname: Time-standard-deviation total column integrated saturation specific humidity with respect to water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239339 shortname: std_sdirnswrf longname: Time-standard-deviation direct solar radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239340 shortname: std_cossza longname: Time-standard-deviation cosine of solar zenith angle units: Numeric description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239341 shortname: std_fprate longname: Time-standard-deviation freezing rain rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239342 shortname: std_vige longname: Time-standard-deviation total column vertically-integrated eastward geopotential flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239343 shortname: std_vign longname: Time-standard-deviation total column vertically-integrated northward geopotential flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239344 shortname: std_viwgd longname: Time-standard-deviation total column vertically-integrated divergence of water geopotential flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239345 shortname: std_vigd longname: Time-standard-deviation total column vertically-integrated divergence of geopotential flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239346 shortname: std_viee longname: Time-standard-deviation total column vertically-integrated eastward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239347 shortname: std_vien longname: Time-standard-deviation total column vertically-integrated northward enthalpy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239348 shortname: std_vikee longname: Time-standard-deviation total column vertically-integrated eastward kinetic energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239349 shortname: std_viken longname: Time-standard-deviation total column vertically-integrated northward kinetic energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239350 shortname: std_vitee longname: Time-standard-deviation total column vertically-integrated eastward total energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239351 shortname: std_viten longname: Time-standard-deviation total column vertically-integrated northward total energy flux units: W m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239352 shortname: std_vied longname: Time-standard-deviation total column vertically-integrated divergence of enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239353 shortname: std_viked longname: Time-standard-deviation total column vertically-integrated divergence of kinetic energy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239354 shortname: std_vited longname: Time-standard-deviation total column vertically-integrated divergence of total energy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239355 shortname: std_viwed longname: Time-standard-deviation total column vertically-integrated divergence of water enthalpy flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239356 shortname: std_vimad longname: Time-standard-deviation vertically integrated divergence of mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239357 shortname: std_vimae longname: Time-standard-deviation vertically integrated eastward mass flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239358 shortname: std_viman longname: Time-standard-deviation vertically integrated northward mass flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239359 shortname: std_viwvd longname: Time-standard-deviation vertically integrated divergence of water vapour flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239360 shortname: std_viclwd longname: Time-standard-deviation vertically integrated divergence of cloud liquid water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239361 shortname: std_viciwd longname: Time-standard-deviation vertically integrated divergence of cloud ice water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239362 shortname: std_vird longname: Time-standard-deviation vertically integrated divergence of rain flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239363 shortname: std_visd longname: Time-standard-deviation vertically integrated divergence of snow flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239364 shortname: std_viwve longname: Time-standard-deviation vertically integrated eastward water vapour flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239365 shortname: std_viwvn longname: Time-standard-deviation vertically integrated northward water vapour flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239366 shortname: std_viclwe longname: Time-standard-deviation vertically integrated eastward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239367 shortname: std_viclwn longname: Time-standard-deviation vertically integrated northward cloud liquid water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239368 shortname: std_viciwe longname: Time-standard-deviation vertically integrated eastward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239369 shortname: std_viciwn longname: Time-standard-deviation vertically integrated northward cloud ice water flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239370 shortname: std_vire longname: Time-standard-deviation vertically integrated eastward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239371 shortname: std_virn longname: Time-standard-deviation vertically integrated northward rain flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239372 shortname: std_vise longname: Time-standard-deviation vertically integrated eastward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239373 shortname: std_visn longname: Time-standard-deviation vertically integrated northward snow flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239374 shortname: std_vioze longname: Time-standard-deviation vertically integrated eastward ozone flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239375 shortname: std_viozn longname: Time-standard-deviation vertically integrated northward ozone flux units: kg m**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239376 shortname: std_viozd longname: Time-standard-deviation vertically integrated divergence of ozone flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239377 shortname: std_vions longname: Time-standard-deviation vertically integrated net source of ozone units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239378 shortname: std_ietssofd longname: Time-standard-deviation eastward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239379 shortname: std_intssofd longname: Time-standard-deviation northward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239380 shortname: std_ietsssr longname: Time-standard-deviation eastward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239381 shortname: std_intsssr longname: Time-standard-deviation northward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239383 shortname: std_licgi longname: Time-standard-deviation cloud-to-ground lightning flash density units: km**-2 day**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239386 shortname: std_lshnf longname: Time-standard-deviation land surface heat net flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239387 shortname: std_sdirnswrfcs longname: Time-standard-deviation surface direct normal short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239388 shortname: std_10cogu longname: Time-standard-deviation 10 metre convective gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239389 shortname: std_10tugu longname: Time-standard-deviation 10 metre turbulent gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239390 shortname: std_h0thg longname: Time-standard-deviation geometric height of 0 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239391 shortname: std_h1thg longname: Time-standard-deviation geometric height of 1 degree C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239392 shortname: std_h1p5thg longname: Time-standard-deviation geometric height of 1.5 degrees C theta level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239393 shortname: std_veg longname: Time-standard-deviation vegetation units: '%' description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239394 shortname: std_lai longname: Time-standard-deviation leaf area index units: Numeric description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239395 shortname: std_srhe longname: Time-standard-deviation surface roughness for heat units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239396 shortname: std_rol longname: Time-standard-deviation Reciprocal Obukhov length units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239397 shortname: std_deg3l longname: Time-standard-deviation geometric height of 3 degrees C atmospheric isothermal level above ground units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239404 shortname: std_sdifswrfcs longname: Time-standard-deviation surface diffuse short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239405 shortname: std_vswrz longname: Time-standard-deviation volumetric soil moisture (root zone) units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239406 shortname: std_lwcs longname: Time-standard-deviation liquid water content in snow pack units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239407 shortname: std_mucin longname: Time-standard-deviation most-unstable CIN units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239408 shortname: std_crwc_conv longname: Time-standard-deviation specific rain water content (convective) units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239409 shortname: std_cswc_conv longname: Time-standard-deviation specific snow water content (convective) units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239410 shortname: std_mld longname: Time-standard-deviation mixed layer depth units: m description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 239411 shortname: std_cur longname: Time-standard-deviation urban cover units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 239 mars_request_context: [] - id: 240011 shortname: chcross longname: Cross sectional area of flow in channel units: m**2 description: 'Channel cross sectional area is defined as the cross section area of the water flowing in the river channel (wet area). The channel cross section area multiplied by the mean velocity of the flow gives the discharge (instant)' access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240012 shortname: chside longname: Side flow into river channel units: m**3 s**-1 m**-1 description: Rate of runoff that enters the river channel in each grid cell. The runoff consists of the contributions from surface runoff, outflow from ground water, additional runoff from rivers and reservoirs. Calculated as a flow (m3/s) per m river length. The value is the mean rate over the timestep access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240013 shortname: dis longname: Discharge from rivers or streams units: m**3 s**-1 description: The instantaneous volume rate of water flow, including sediments, chemical and biological material, in the river channel through a cross section. access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240014 shortname: rivsto longname: River storage of water units: m**3 description: The amount of water storage in the river network within a grid cell; this does not include the floodplain. The term storage refers to the total volume of water. This value is instantaneous. access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240015 shortname: fldsto longname: Floodplain storage of water units: m**3 description: "The amount of water storage on the floodplain within a grid cell.The\ \ term storage refers to the total volume of water.\r\nA floodplain is defined\ \ as: 'A flat or nearly flat land adjacent to a stream or river that stretches\ \ from the banks of its channel to the base of the enclosing valley walls and\ \ experiences flooding during periods of high discharge' (Goudie, A. S., 2004,\ \ Encyclopedia of Geomorphology, vol. 1. Routledge, New York. ISBN 0-415-32737-7).\ \ This value is instantaneous." access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240017 shortname: dslr longname: Days since last observation units: Integer description: 'The number of days since the last observation. The value is initialised as 1 on the first day, and then incremented (instant)' access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240018 shortname: frost longname: Frost index units: K description: "When the soil surface is frozen, this affects the hydrological processes\ \ occurring near the soil surface. To estimate whether the soil surface is frozen\ \ or not, a frost index F is calculated. The equation is based on Molnau & Bissell\ \ (1983, cited in Maidment 1993), and adjusted for variable time steps. The rate\ \ at which the frost index changes is given by:\r\n

\r\ndF/dt = (1-Af)F-Tav•e(-0.04•K•ds/wes)\r\ \n

\r\ndF/dt is expressed in [°C day-1 day-1 ]. Af is a decay coefficient\ \ [day-1], K is a a snow\r\ndepth reduction coefficient [cm-1], ds is the (pixel-average)\ \ depth of the snow cover\r\n(expressed as mm equivalent water depth), and wes\ \ is a parameter called snow\r\nwater equivalent, which is the equivalent water\ \ depth water of a snow cover\r\n(Maidment, 1993). The soil is considered frozen\ \ when the frost index rises above a\r\ncritical threshold of 56. For each time\ \ step the value of F [°C day-1] is updated as:\n

\r\nF(t) = F(t −1)\ \ + dF/dt•Δt\r\n

\r\nF is not allowed to become less than 0 (instant)" access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240020 shortname: woss longname: Depth of water on soil surface units: kg m**-2 description: Total amount on water on soil surface that is not infiltrating the ground or intercepted on vegetation. The parameter can also be defined as water intercepted on soil (accum) access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240021 shortname: tpups longname: Upstream accumulated precipitation units: kg m**-2 description: Total accumulated precipitation (rain + snowfall) upstream each grid cell, including the value of the grid cell, for each time step (accum) access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240022 shortname: smups longname: Upstream accumulated snow melt units: kg m**-2 description: Total snow melt from areas upstream each grid cell, including the value of the grid cell, for each time step (accum) access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240023 shortname: dis06 longname: Mean discharge in the last 6 hours units: m**3 s**-1 description: Volume rate of water flow, including sediments, chemical and biological material, in the river channel averaged over a time step through a cross-section access_ids: [] origin_ids: - -10 table: 240 mars_request_context: [] - id: 240024 shortname: dis24 longname: Mean discharge in the last 24 hours units: m**3 s**-1 description: Volume rate of water flow, including sediments, chemical and biological material, in the river channel averaged over a time step through a cross-section access_ids: [] origin_ids: - -10 table: 240 mars_request_context: [] - id: 240026 shortname: sd_elev longname: Snow depth at elevation bands units: kg m**-2 description: Snow depth in m water equivalent at elevation bands. The parameter needs to have several layers to represent elevation bands (instant) access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240028 shortname: gwus longname: Groundwater upper storage units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240029 shortname: gwls longname: Groundwater lower storage units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240030 shortname: lakdph longname: Lake depth units: m description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240031 shortname: rivdph longname: River depth units: m description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240032 shortname: rivout longname: River outflow of water units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240033 shortname: fldout longname: Floodplain outflow of water units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240034 shortname: pthflw longname: Floodpath outflow of water units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240035 shortname: flddep longname: Floodplain depth units: m description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240036 shortname: fldffr longname: Floodplain flooded fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240037 shortname: fldfar longname: Floodplain flooded area units: m**2 description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240038 shortname: rivfr longname: River fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240039 shortname: rivar longname: River area units: m**2 description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240040 shortname: rivcffr longname: Fraction of river coverage plus river related flooding units: Proportion description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240041 shortname: rivcfar longname: Area of river coverage plus river related flooding units: m**2 description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240042 shortname: wse longname: Water surface elevation units: m description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240043 shortname: grfr longname: Groundwater return flow rate units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240044 shortname: rivfldsto longname: River and floodplain storage units: m**3 description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 240045 shortname: darv longname: Depth-averaged river velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 240 mars_request_context: [] - id: 250001 shortname: lat longname: Latitude units: Degree N description: Geographical latitude access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250002 shortname: lon longname: Longitude units: Degree E description: Geographical longitude access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250003 shortname: tlat longname: Latitude on T grid units: Degree N description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250004 shortname: tlon longname: Longitude on T grid units: Degree E description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250005 shortname: ulat longname: Latitude on U grid units: Degree N description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250006 shortname: ulon longname: Longitude on U grid units: Degree E description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250007 shortname: vlat longname: Latitude on V grid units: Degree N description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250008 shortname: vlon longname: Longitude on V grid units: Degree E description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250009 shortname: wlat longname: Latitude on W grid units: Degree N description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250010 shortname: wlon longname: Longitude on W grid units: Degree E description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250011 shortname: flat longname: Latitude on F grid units: Degree N description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 250012 shortname: flon longname: Longitude on F grid units: Degree E description: '' access_ids: [] origin_ids: - 0 table: 250 mars_request_context: [] - id: 254001 shortname: covar_t2m_swvl1 longname: Covariance between 2-metre temperature and volumetric soil water layer 1 units: K m**3 m**-3 description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254002 shortname: covar_rh2m_swvl1 longname: Covariance between 2-metre relative humidity and volumetric soil water layer 1 units: '% m**3 m**-3' description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254003 shortname: covar_ssm_swvl1 longname: Covariance between surface soil moisture and volumetric soil water layer 1 units: m**3 m**-3 m**3 m**-3 description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254004 shortname: covar_t2m_swvl2 longname: Covariance between 2-metre temperature and volumetric soil water layer 2 units: K m**3 m**-3 description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254005 shortname: covar_rh2m_swvl2 longname: Covariance between 2-metre relative humidity and volumetric soil water layer 2 units: '% m**3 m**-3' description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254006 shortname: covar_ssm_swvl2 longname: Covariance between surface soil moisture and volumetric soil water layer 2 units: m**3 m**-3 m**3 m**-3 description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254007 shortname: covar_t2m_swvl3 longname: Covariance between 2-metre temperature and volumetric soil water layer 3 units: K m**3 m**-3 description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254008 shortname: covar_rh2m_swvl3 longname: Covariance between 2-metre relative humidity and volumetric soil water layer 3 units: '% m**3 m**-3' description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254009 shortname: covar_ssm_swvl3 longname: Covariance between surface soil moisture and volumetric soil water layer 3 units: m**3 m**-3 m**3 m**-3 description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254010 shortname: covar_t2m_stl1 longname: Covariance between 2-metre temperature and soil temperature layer 1 units: K K description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254011 shortname: covar_rh2m_stl1 longname: Covariance between 2-metre relative humidity and soil temperature layer 1 units: '% K' description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254012 shortname: covar_t2m_stl2 longname: Covariance between 2-metre temperature and soil temperature layer 2 units: K K description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254013 shortname: covar_rh2m_stl2 longname: Covariance between 2-metre relative humidity and soil temperature layer 2 units: '% K' description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254014 shortname: covar_t2m_stl3 longname: Covariance between 2-metre temperature and soil temperature layer 3 units: K K description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254015 shortname: covar_rh2m_stl3 longname: Covariance between 2-metre relative humidity and soil temperature layer 3 units: '% K' description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254016 shortname: covar_t2m_tsn1 longname: Covariance between 2-metre temperature and temperature of snow layer 1 units: K K description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254017 shortname: covar_rh2m_tsn1 longname: Covariance between 2-metre relative humidity and temperature of snow layer 1 units: '% K' description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254018 shortname: covar_t2m_tsn2 longname: Covariance between 2-metre temperature and temperature of snow layer 2 units: K K description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254019 shortname: covar_rh2m_tsn2 longname: Covariance between 2-metre relative humidity and temperature of snow layer 2 units: '% K' description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254020 shortname: covar_t2m_tsn3 longname: Covariance between 2-metre temperature and temperature of snow layer 3 units: K K description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254021 shortname: covar_rh2m_tsn3 longname: Covariance between 2-metre relative humidity and temperature of snow layer 3 units: '% K' description: null access_ids: [] origin_ids: - -50 - 98 table: 254 mars_request_context: [] - id: 254022 shortname: covar_skt_stl1 longname: Covariance between skin temperature and soil temperature layer 1 units: K K description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254023 shortname: covar_skt_stl2 longname: Covariance between skin temperature and soil temperature layer 2 units: K K description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254024 shortname: covar_skt_stl3 longname: Covariance between skin temperature and soil temperature layer 3 units: K K description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254025 shortname: covar_skt_swvl1 longname: Covariance between skin temperature and volumetric soil water layer 1 units: K m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254026 shortname: covar_skt_swvl2 longname: Covariance between skin temperature and volumetric soil water layer 2 units: K m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254027 shortname: covar_skt_swvl3 longname: Covariance between skin temperature and volumetric soil water layer 3 units: K m**3 m**-3 description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254028 shortname: covar_skt_tsn1 longname: Covariance between skin temperature and temperature of snow layer 1 units: K K description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254029 shortname: covar_skt_tsn2 longname: Covariance between skin temperature and temperature of snow layer 2 units: K K description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254030 shortname: covar_skt_tsn3 longname: Covariance between skin temperature and temperature of snow layer 3 units: K K description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254500 shortname: curvmsl longname: CURV diagnostic mean sea level pressure units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 254501 shortname: curvz longname: CURV diagnostic geopotential units: dimensionless description: null access_ids: [] origin_ids: - 98 table: 254 mars_request_context: [] - id: 260001 shortname: tcolg longname: Total column vertically-integrated graupel (snow pellets) units: kg m**-2 description:

Instantaneous.

Please note that the encodings listed here for uerra (which includes carra/cerra) are for Time-mean total column vertically-integrated graupel (snow pellets). The specific encoding for Time-mean total column vertically-integrated graupel (snow pellets) can be found in 235120.

access_ids: [] origin_ids: - -20 - 0 table: 260 mars_request_context: [] - id: 260002 shortname: slhtf longname: Surface latent heat net flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260004 shortname: heatx longname: Heat index units: K description: The heat index describes the perception of the human body when its evaporative cooling mechanism is limited due to increased relative humidity. It is derived from air temperature and relative humidity. access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id028 - *id033 - id: 260005 shortname: wcf longname: Wind chill factor units: K description: The wind chill factor describes the cooling sensation felt by the human body and is based on the rate of heat loss from exposed skin caused by the effects of wind and cold. It is derived from air temperature and wind speed. access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id028 - *id033 - id: 260007 shortname: snohf longname: Snow phase change heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260008 shortname: vapp longname: Vapor pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260009 shortname: ncpcp longname: Large scale precipitation (non-convective) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260010 shortname: srweq longname: Snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260011 shortname: snoc longname: Convective snow units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 34 table: 260 mars_request_context: [] - id: 260012 shortname: snol longname: Large scale snow units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260013 shortname: snoag longname: Snow age units: day description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260014 shortname: absh longname: Absolute humidity units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260015 shortname: ptype longname: Precipitation type units: (Code table 4.201) description: '

This parameter describes the type of precipitation at the surface, at the specified time.

A precipitation type is assigned wherever there is a non-zero value of precipitation in the model output field. The precipitation type should be used together with the precipitation rate to provide, for example, an indication of potential freezing rain events.

In the ECMWF Integrated Forecasting System (IFS) there are only two predicted precipitation variables: rain and snow. Precipitation type is derived from these two predicted variables in combination with atmospheric conditions, such as temperature.

Values of precipitation type defined in the IFS:

0 = No precipitation
1 = Rain
3 = Freezing rain (i.e. supercooled raindrops which freeze on contact with the ground and other surfaces)
5 = Snow
6 = Wet snow (i.e. snow particles which are starting to melt)
7 = Mixture of rain and snow
8 = Ice pellets
12 = Freezing drizzle (i.e. supercooled drizzle which freezes on contact with the ground and other surfaces)

These precipitation types are consistent with WMO Code Table 4.201. 2 (thunderstorm), 4 (mixed ice) and 9 (graupel), 10 (hail) and 11 (drizzle) are not diagnosed in the IFS.

' access_ids: - dissemination origin_ids: - -80 - -20 - 0 table: 260 mars_request_context: - *id040 - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 260016 shortname: iliqw longname: Integrated liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260017 shortname: tcond longname: Condensate units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260018 shortname: clwmr longname: Cloud mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260019 shortname: icmr longname: Ice water mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260020 shortname: rwmr longname: Rain mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260021 shortname: snmr longname: Snow mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260022 shortname: mconv longname: Horizontal moisture convergence units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260025 shortname: asnow longname: Total snowfall units: m description: Please be aware that this parameter represents the metres of snowfall in a gridbox accumulated over a period of time without the conversion to liquid water equivalent. Please refer to parameter 144 (m of water equivalent) and 228144 (kg m-2) for this parameter. access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260026 shortname: pwcat longname: Precipitable water category units: (Code table 4.202) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260027 shortname: hail longname: Hail units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260028 shortname: grle longname: Graupel (snow pellets) units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260029 shortname: crain longname: Categorical rain units: (Code table 4.222) description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260030 shortname: cfrzr longname: Categorical freezing rain units: (Code table 4.222) description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260031 shortname: cicep longname: Categorical ice pellets units: (Code table 4.222) description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260032 shortname: csnow longname: Categorical snow units: (Code table 4.222) description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260033 shortname: cpr longname: Convective precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260034 shortname: mdiv longname: Horizontal moisture divergence units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260035 shortname: cpofp longname: Percent frozen precipitation units: '%' description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260036 shortname: pevap longname: Potential evaporation units: kg m**-2 description: [DEPRECATED - Please use paramId 231005 instead] access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260038 shortname: snowc longname: Snow cover units: '%' description: null access_ids: [] origin_ids: - -80 - 0 - 7 table: 260 mars_request_context: [] - id: 260039 shortname: frain longname: Rain fraction of total cloud water units: Proportion description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260040 shortname: rime longname: Rime factor units: Numeric description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260041 shortname: tcolr longname: Total column integrated rain units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260042 shortname: tcols longname: Total column integrated snow units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260043 shortname: lswp longname: Large scale water precipitation (non-convective) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260044 shortname: cwp longname: Convective water precipitation units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260045 shortname: twatp longname: Total water precipitation units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260046 shortname: tsnowp longname: Total snow precipitation units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260047 shortname: tcwat longname: Total column water (Vertically integrated total water (vapour + cloud water/ice)) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260048 shortname: tprate longname: Total precipitation rate units: kg m**-2 s**-1 description: This parameter is the rate of total precipitation, at the specified time.

In the ECMWF Integrated Forecasting System (IFS), total precipitation is rain and snow that falls to the Earth's surface. It is the sum of large-scale precipitation and convective precipitation. Large-scale precipitation is generated by the cloud scheme in the IFS. The cloud scheme represents the formation and dissipation of clouds and large-scale precipitation due to changes in atmospheric quantities (such as pressure, temperature and moisture) predicted directly by the IFS at spatial scales of a grid box or larger. Convective precipitation is generated by the convection scheme in the IFS. The convection scheme represents convection at spatial scales smaller than the grid box.See further information. Precipitation parameters do not include fog, dew or the precipitation that evaporates in the atmosphere before it lands at the surface of the Earth.

1 kg of water spread over 1 square metre of surface is 1 mm deep (neglecting the effects of temperature on the density of water), therefore the units are equivalent to mm per second.

Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step . access_ids: - dissemination origin_ids: - 0 - 98 table: 260 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 260049 shortname: tsrwe longname: Total snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260050 shortname: lsprate longname: Large scale precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260053 shortname: tsrate longname: Total snowfall rate units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260054 shortname: csrate longname: Convective snowfall rate units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260055 shortname: lssrate longname: Large scale snowfall rate units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260056 shortname: sdwe longname: Water equivalent of accumulated snow depth (deprecated) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260057 shortname: tciwv longname: Total column integrated water vapour units: kg m**-2 description: null access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260058 shortname: rprate longname: Rain precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260059 shortname: sprate longname: Snow precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260060 shortname: fprate longname: Freezing rain precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260061 shortname: iprate longname: Ice pellets precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260062 shortname: uflx longname: Momentum flux, u component units: N m**-2 description: null access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260063 shortname: vflx longname: Momentum flux, v component units: N m**-2 description: null access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260065 shortname: gust longname: Wind speed (gust) units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260066 shortname: ugust longname: u-component of wind (gust) units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260067 shortname: vgust longname: v-component of wind (gust) units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260068 shortname: vwsh longname: Vertical speed shear units: s**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260069 shortname: mflx longname: Horizontal momentum flux units: N m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260070 shortname: ustm longname: U-component storm motion units: m s**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260071 shortname: vstm longname: V-component storm motion units: m s**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260072 shortname: cd longname: Drag coefficient units: Numeric description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260073 shortname: fricv longname: Frictional velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260074 shortname: prmsl longname: Pressure reduced to MSL units: Pa description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260076 shortname: alts longname: Altimeter setting units: Pa description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260077 shortname: thick longname: Thickness units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260078 shortname: presalt longname: Pressure altitude units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260079 shortname: denalt longname: Density altitude units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260080 shortname: 5wavh longname: 5-wave geopotential height units: gpm description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260081 shortname: iegwss longname: Instantaneous eastward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260082 shortname: ingwss longname: Instantaneous northward gravity wave surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260084 shortname: 5wava longname: 5-wave geopotential height anomaly units: gpm description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260085 shortname: sdsgso longname: Standard deviation of sub-grid scale orography units: m description: null access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260086 shortname: nswrt longname: Net short-wave radiation flux (top of atmosphere) units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260087 shortname: sdswrf longname: Surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 7 - 34 table: 260 mars_request_context: [] - id: 260088 shortname: suswrf longname: Surface upward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 7 - 34 table: 260 mars_request_context: [] - id: 260089 shortname: snswrf longname: Surface net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260090 shortname: sparf longname: Surface photosynthetically active radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260091 shortname: snswrfcs longname: Surface net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260092 shortname: sduvrf longname: Surface downward UV radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260093 shortname: uviucs longname: UV index (under clear sky) units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260094 shortname: uvi longname: UV index units: Numeric description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260097 shortname: sdlwrf longname: Surface downward long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 7 - 34 table: 260 mars_request_context: [] - id: 260098 shortname: sulwrf longname: Surface upward long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 7 - 34 table: 260 mars_request_context: [] - id: 260099 shortname: snlwrf longname: Surface net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260100 shortname: snlwrfcs longname: Surface net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260101 shortname: cice longname: Cloud Ice units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260102 shortname: cwat longname: Cloud water units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 - 34 table: 260 mars_request_context: [] - id: 260103 shortname: cdca longname: Cloud amount units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260104 shortname: cdct longname: Cloud type units: (Code table 4.203) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260105 shortname: tmaxt longname: Thunderstorm maximum tops units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260106 shortname: thunc longname: Thunderstorm coverage units: (Code table 4.204) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260107 shortname: cdcb longname: Cloud base units: m description: null access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260108 shortname: cdct longname: Cloud top units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260109 shortname: ceil longname: Ceiling units: m description: The height above the Earth's surface of the base of the lowest layer of cloud with a covering of more than 50% of the model grid box. Cloud ceiling is a measurement used in the aviation industry to indicate airport landing conditions.

This parameter is calculated by searching from the second lowest model level upwards, to the height of the level where cloud fraction becomes greater than 50% and condensate content greater than 1.E-6 kg kg-1. Fog (i.e., cloud in the lowest model layer) is not considered when defining ceiling. access_ids: - dissemination origin_ids: - 0 - 98 table: 260 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 260110 shortname: cdlyr longname: Non-convective cloud cover units: '%' description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260111 shortname: cwork longname: Cloud work function units: J kg**-1 description: null access_ids: [] origin_ids: - 0 - 7 - 34 table: 260 mars_request_context: [] - id: 260112 shortname: cuefi longname: Convective cloud efficiency units: Proportion description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260113 shortname: tcond longname: Total condensate units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260114 shortname: tcolw longname: Total column-integrated cloud water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260115 shortname: tcoli longname: Total column-integrated cloud ice units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260116 shortname: tcolc longname: Total column-integrated condensate units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260117 shortname: fice longname: Ice fraction of total condensate units: Proportion description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260118 shortname: cdcimr longname: Cloud ice mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260119 shortname: suns longname: Sunshine units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260120 shortname: '~' longname: Horizontal extent of cumulonimbus (CB) units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260121 shortname: kx longname: K index units: K description: This parameter is a measure of potential for a thunderstorm to develop calculated from the temperature and dew point temperature in the lower part of the atmosphere. The calculation uses the temperature at 850, 700 and 500 hPa and dewpoint temperature at 850 and 700 hPa. Higher values of K indicate a higher potential for the development of thunderstorms.

This parameter is related to the probability of occurrence of a thunderstorm:
Parameter valueThunderstorm Probability
<20 K No thunderstorm.
20-25 K Isolated thunderstorms.
26-30 K Widely scattered thunderstorms.
31-35 K Scattered thunderstorms.
>35 K Numerous thunderstorms
access_ids: - dissemination origin_ids: - -80 - 0 - 98 table: 260 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 260122 shortname: kox longname: KO index units: K description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260123 shortname: totalx longname: Total totals index units: K description: This parameter gives an indication of the probability of occurrence of a thunderstorm and its severity by using the vertical gradient of temperature and humidity.

TT indexThunderstorm Probability
<44Thunderstorms not likely.
44-50Thunderstorms likely.
51-52Isolated severe thunderstorms.
53-56Widely scattered severe thunderstorms.
56-60Scattered severe thunderstorms more likely.
The total totals index is the temperature difference between 850 hPa (near surface) and 500 hPa (mid-troposphere) (lapse rate) plus a measure of the moisture content between 850 hPa and 500 hPa. The probability of deep convection tends to increase with increasing lapse rate and atmospheric moisture content.

There are a number of limitations to this index. Also, the interpretation of the index value varies with season and location. See further information. access_ids: - dissemination origin_ids: - -80 - 0 - 98 table: 260 mars_request_context: - *id020 - *id021 - *id022 - *id023 - *id025 - *id026 - *id027 - *id028 - *id030 - *id033 - id: 260124 shortname: sx longname: Sweat index units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260125 shortname: hlcy longname: Storm relative helicity units: m**2 s**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260126 shortname: ehlx longname: Energy helicity index units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260127 shortname: lftx longname: Surface lifted index units: K description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260128 shortname: 4lftx longname: Best (4-layer) lifted index units: K description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260129 shortname: aerot longname: Aerosol type units: (Code table 4.205) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260130 shortname: tozne longname: Total ozone units: DU description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260131 shortname: o3mr longname: Ozone mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260132 shortname: tcioz longname: Total column integrated ozone units: DU description: '[NOTE: See 206 for the equivalent parameter in ''kg m**-2'']' access_ids: [] origin_ids: - 0 - 34 table: 260 mars_request_context: [] - id: 260133 shortname: bswid longname: Base spectrum width units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260134 shortname: bref longname: Base reflectivity units: dB description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260135 shortname: brvel longname: Base radial velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260136 shortname: veril longname: Vertically-integrated liquid units: kg m**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260137 shortname: lmaxbr longname: Layer-maximum base reflectivity units: dB description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260138 shortname: rdp longname: Precipitation from radar units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260139 shortname: acces longname: Air concentration of Caesium 137 units: Bq m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260140 shortname: aciod longname: Air concentration of Iodine 131 units: Bq m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260141 shortname: acradp longname: Air concentration of radioactive pollutant units: Bq m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260142 shortname: gdces longname: Ground deposition of Caesium 137 units: Bq m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260143 shortname: gdiod longname: Ground deposition of Iodine 131 units: Bq m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260144 shortname: gdradp longname: Ground deposition of radioactive pollutant units: Bq m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260145 shortname: tiaccp longname: Time-integrated air concentration of caesium pollutant units: Bq s m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260146 shortname: tiacip longname: Time-integrated air concentration of iodine pollutant units: Bq s m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260147 shortname: tiacrp longname: Time-integrated air concentration of radioactive pollutant units: Bq s m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260148 shortname: volash longname: Volcanic ash units: (Code table 4.206) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260149 shortname: icit longname: Icing top units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260150 shortname: icib longname: Icing base units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260151 shortname: ici longname: Icing units: (Code table 4.207) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260152 shortname: turbt longname: Turbulence top units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260153 shortname: turbb longname: Turbulence base units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260154 shortname: turb longname: Turbulence units: (Code table 4.208) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260155 shortname: tke longname: Turbulent kinetic energy units: J kg**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260156 shortname: pblreg longname: Planetary boundary layer regime units: (Code table 4.209) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260157 shortname: conti longname: Contrail intensity units: (Code table 4.210) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260158 shortname: contet longname: Contrail engine type units: (Code table 4.211) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260159 shortname: contt longname: Contrail top units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260160 shortname: contb longname: Contrail base units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260161 shortname: mxsalb longname: Maximum snow albedo units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260162 shortname: snfalb longname: Snow free albedo units: '%' description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260163 shortname: '~' longname: Icing units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260164 shortname: '~' longname: In-cloud turbulence units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260165 shortname: rcat longname: Relative clear air turbulence (RCAT) units: '%' description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260166 shortname: sldp longname: Supercooled large droplet probability units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260167 shortname: var190m0 longname: Arbitrary text string units: CCITTIA5 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260168 shortname: tsec longname: Seconds prior to initial reference time (defined in Section 1) units: s description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260169 shortname: ffldg longname: Flash flood guidance units: kg m**-2 description: Encoded as an accumulation over a floating subinterval of time between the reference time and valid time. access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260170 shortname: ffldro longname: Flash flood runoff (Encoded as an accumulation over a floating subinterval of time) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260171 shortname: rssc longname: Remotely sensed snow cover units: (Code table 4.215) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260172 shortname: esct longname: Elevation of snow covered terrain units: (Code table 4.216) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260173 shortname: swepon longname: Snow water equivalent percent of normal units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260174 shortname: bgrun longname: Baseflow-groundwater runoff units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260175 shortname: ssrun longname: Storm surface runoff units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260176 shortname: cppop longname: Conditional percent precipitation amount fractile for an overall period (Encoded as an accumulation) units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260177 shortname: pposp longname: Percent precipitation in a sub-period of an overall period units: '%' description: Encoded as per cent accumulation over the sub-period. access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260178 shortname: pop longname: Probability of 0.01 inch of precipitation (POP) units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260180 shortname: veg longname: Vegetation units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260181 shortname: watr longname: Water runoff units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260182 shortname: evapt longname: Evapotranspiration units: kg**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260183 shortname: mterh longname: Model terrain height units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260184 shortname: landu longname: Land use units: (Code table 4.212) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260185 shortname: soilw longname: Volumetric soil moisture content units: Proportion description: [DEPRECATED - Please use paramId 260199 instead] access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260186 shortname: gflux longname: Ground heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 - 7 - 34 table: 260 mars_request_context: [] - id: 260187 shortname: mstav longname: Moisture availability units: '%' description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260188 shortname: sfexc longname: Exchange coefficient units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260189 shortname: cnwat longname: Plant canopy surface water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260190 shortname: bmixl longname: Blackadar mixing length scale units: m description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260191 shortname: ccond longname: Canopy conductance units: m s**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260192 shortname: rsmin longname: Minimal stomatal resistance units: s m**-1 description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260193 shortname: rcs longname: Solar parameter in canopy conductance units: Proportion description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260194 shortname: rct longname: Temperature parameter in canopy conductance units: Proportion description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260195 shortname: rcsol longname: Soil moisture parameter in canopy conductance units: Proportion description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260196 shortname: rcq longname: Humidity parameter in canopy conductance units: Proportion description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260197 shortname: cisoilw longname: Column-integrated soil water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260198 shortname: hflux longname: Heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260199 shortname: vsw longname: Volumetric soil moisture units: m**3 m**-3 description:

Please note that the encoding listed here for uerra (which includes carra/cerra) includes entries for Time-mean volumetric soil moisture. The specific encoding for Time-mean volumetric soil moisture can be found in 235077.

access_ids: - dissemination origin_ids: - -20 - 0 table: 260 mars_request_context: - &id245 class: ai stream: enfo type: cf levtype: sol - &id246 class: ai stream: enfo type: pf levtype: sol - &id247 class: ai stream: oper type: fc levtype: sol - id: 260200 shortname: vwiltm longname: Volumetric wilting point units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260205 shortname: soill longname: Liquid volumetric soil moisture (non-frozen) units: Proportion description: [DEPRECATED - Please use paramId 260210 instead] access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260206 shortname: rlyrs longname: Number of soil layers in root zone units: Numeric description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260207 shortname: smref longname: Transpiration stress-onset (soil moisture) units: Proportion description: [DEPRECATED - Please use paramId 260212 instead] access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260208 shortname: smdry longname: Direct evaporation cease (soil moisture) units: Proportion description: [DEPRECATED - Please use paramId 260214 instead] access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260209 shortname: poros longname: Soil porosity units: Proportion description: [DEPRECATED - Please use paramId 260215 instead] access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260210 shortname: liqvsm longname: Liquid volumetric soil moisture (non-frozen) units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260211 shortname: voltso longname: Volumetric transpiration stress-onset (soil moisture) units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260212 shortname: transo longname: Transpiration stress-onset (soil moisture) units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260213 shortname: voldec longname: Volumetric direct evaporation cease (soil moisture) units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260214 shortname: direc longname: Direct evaporation cease (soil moisture) units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260215 shortname: soilp longname: Soil porosity units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260216 shortname: vsosm longname: Volumetric saturation of soil moisture units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260217 shortname: satosm longname: Saturation of soil moisture units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260218 shortname: estp longname: Estimated precipitation units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260219 shortname: irrate longname: Instantaneous rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260220 shortname: ctoph longname: Cloud top height units: m description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260221 shortname: ctophqi longname: Cloud top height quality indicator units: (Code table 4.219) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260222 shortname: estu longname: Estimated u component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260223 shortname: estv longname: Estimated v component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260224 shortname: npixu longname: Number of pixels used units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260225 shortname: solza longname: Solar zenith angle units: Degree description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260226 shortname: raza longname: Relative azimuth angle units: Degree description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260227 shortname: rfl06 longname: Reflectance in 0.6 micron channel units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260228 shortname: rfl08 longname: Reflectance in 0.8 micron channel units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260229 shortname: rfl16 longname: Reflectance in 1.6 micron channel units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260230 shortname: rfl39 longname: Reflectance in 3.9 micron channel units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260231 shortname: atmdiv longname: Atmospheric divergence units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260232 shortname: wvdir longname: Direction of wind waves units: Degree true description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260233 shortname: dirpw longname: Primary wave direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260234 shortname: perpw longname: Primary wave mean period units: s description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260235 shortname: persw longname: Secondary wave mean period units: s description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260236 shortname: dirc longname: Current direction units: Degree true description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260237 shortname: spc longname: Current speed units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260238 shortname: wz longname: Geometric vertical velocity units: m s**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260241 shortname: tsec longname: Seconds prior to initial reference time (defined in Section 1) units: s description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260242 shortname: 2r longname: 2 metre relative humidity units: '%' description: 'The ratio of the partial pressure of water vapour to the equilibrium vapour pressure of water at the same temperature near the surface.
Note that the specific height level above ground might vary from one centre to another.' access_ids: - dissemination origin_ids: - -20 - 0 - 34 table: 260 mars_request_context: - *id028 - *id033 - id: 260243 shortname: ttrad longname: Temperature tendency by all radiation units: K s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260244 shortname: rev longname: Relative Error Variance units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260245 shortname: lrghr longname: Large Scale Condensate Heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260246 shortname: cnvhr longname: Deep Convective Heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260247 shortname: thflx longname: Total Downward Heat Flux at Surface units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260248 shortname: ttdia longname: Temperature Tendency By All Physics units: K s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260249 shortname: ttphy longname: Temperature Tendency By Non-radiation Physics units: K s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260250 shortname: tsd1d longname: Standard Dev. of IR Temp. over 1x1 deg. area units: K description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260251 shortname: shahr longname: Shallow Convective Heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260252 shortname: vdfhr longname: Vertical Diffusion Heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260253 shortname: thz0 longname: Potential temperature at top of viscous sublayer units: K description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260254 shortname: tchp longname: Tropical Cyclone Heat Potential units: J m**-2 K**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260255 shortname: aptmp longname: Apparent temperature units: K description: Apparent temperature is the perceived outdoor temperature, caused by a combination of phenomena, such as air temperature, relative humidity and wind speed access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id028 - *id033 - id: 260256 shortname: hindex longname: Haines Index units: Numeric description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260257 shortname: ccl longname: Cloud cover units: '%' description: Percentage of the sky hidden by all visible clouds on a model level access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260259 shortname: eva longname: Evaporation units: kg m**-2 description: 'Moisture flux from the surface into the atmosphere. Accumulated.
[NOTE: See 182 for the equivalent parameter in "m of water equivalent"]' access_ids: [] origin_ids: - -20 - 0 table: 260 mars_request_context: [] - id: 260260 shortname: 10wdir longname: 10 metre wind direction units: Degree true description: Wind direction at a height of 10m. access_ids: [] origin_ids: - -20 - 0 table: 260 mars_request_context: [] - id: 260261 shortname: minrh longname: Minimum Relative Humidity units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260262 shortname: sdirswrf longname: Surface direct short-wave radiation flux units: W m**-2 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260263 shortname: sdifswrf longname: Surface diffuse short-wave radiation flux units: W m**-2 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260264 shortname: tidirswrf longname: Time-integrated surface direct short wave radiation flux units: J m**-2 description: 'Direct solar (short-wave) radiation at the surface.
Accumulated (from the beginning of the forecast)
The flux sign convention is positive downwards.' access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260267 shortname: tp06 longname: Total precipitation in the last 6 hours units: kg m**-2 description: Convective precipitation + stratiform precipitation (CP + LSP). Accumulated field access_ids: [] origin_ids: - -10 table: 260 mars_request_context: [] - id: 260268 shortname: tp24 longname: Total precipitation in the last 24 hours units: kg m**-2 description: Convective precipitation + stratiform precipitation (CP + LSP). Accumulated field access_ids: [] origin_ids: - -10 table: 260 mars_request_context: [] - id: 260269 shortname: tipd longname: Total Icing Potential Diagnostic units: dimensionless description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260270 shortname: ncip longname: Number concentration for ice particles units: dimensionless description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260271 shortname: snot longname: Snow temperature units: K description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260272 shortname: tclsw longname: Total column-integrated supercooled liquid water units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260273 shortname: tcolm longname: Total column-integrated melting ice units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260274 shortname: emnp longname: Evaporation - Precipitation units: cm per day description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260275 shortname: sbsno longname: Sublimation (evaporation from snow) units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260276 shortname: cnvmr longname: Deep Convective Moistening Rate units: kg (kg s**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260277 shortname: shamr longname: Shallow Convective Moistening Rate units: kg (kg s**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260278 shortname: vdfmr longname: Vertical Diffusion Moistening Rate units: kg (kg s**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260279 shortname: condp longname: Condensation Pressure of Parcali Lifted From Indicate Surface units: Pa description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260280 shortname: lrgmr longname: Large scale moistening rate units: kg (kg s**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260281 shortname: qz0 longname: Specific humidity at top of viscous sublayer units: kg kg**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260282 shortname: qmax longname: Maximum specific humidity at 2m units: kg kg**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260283 shortname: qmin longname: Minimum specific humidity at 2m units: kg kg**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260284 shortname: arain longname: Liquid precipitation (rainfall) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260285 shortname: snowt longname: Snow temperature, depth-avg units: K description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260286 shortname: apcpn longname: Total precipitation (nearest grid point) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260287 shortname: acpcpn longname: Convective precipitation (nearest grid point) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260288 shortname: frzr longname: Freezing Rain units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260289 shortname: fscov longname: Fraction of snow cover units: Proportion description: Fraction (0-1) of the cell/grid-box occupied by snow. access_ids: - dissemination origin_ids: - -20 - 0 table: 260 mars_request_context: - *id158 - *id159 - *id160 - *id020 - *id021 - *id022 - *id023 - *id034 - *id025 - *id026 - *id027 - *id028 - *id035 - *id030 - *id036 - *id033 - id: 260290 shortname: cat longname: Clear air turbulence (CAT) units: m**2/3 s**-1 description: Clear air turbulence diagnostic as derived from three-dimensional wind and temperature gradients with statistical projection on a turbulent eddy dissipation. CAT is proportional to the cube root of the eddy dissipation rate. access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id107 - *id001 - *id108 - *id003 - *id109 - *id004 - *id110 - *id006 - *id114 - *id014 - *id115 - *id016 - class: od stream: enfo type: pf levtype: fl - *id116 - *id017 - *id119 - class: od stream: oper type: fc levtype: fl - *id122 - id: 260291 shortname: mwt longname: Mountain wave turbulence (eddy dissipation rate) units: m**2/3 s**-1 description: Mountain wave turbulence diagnostic derived as CAT but also taking into account near surface wind speed and orography. This parameter is proportional to the cube root of the eddy dissipation rate. access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260292 shortname: crwc_conv longname: Specific rain water content (convective) units: kg kg**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260293 shortname: cswc_conv longname: Specific snow water content (convective) units: kg kg**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260294 shortname: glm longname: Glacier mask units: Proportion description: 'This parameter is the proportion of glacier in a grid box. It has values ranging between zero and one and is dimensionless. Grid boxes in the ECMWF Integrated Forecast System with a value strictly above 0.5 are treated as glacier. Those with a value equal or below 0.5 are treated as land point without glacier.' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260295 shortname: lauv longname: Latitude of U Wind Component of Velocity units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260296 shortname: louv longname: Longitude of U Wind Component of Velocity units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260297 shortname: lavv longname: Latitude of V Wind Component of Velocity units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260298 shortname: lovv longname: Longitude of V Wind Component of Velocity units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260299 shortname: lapp longname: Latitude of Pressure Point units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260300 shortname: lopp longname: Longitude of Pressure Point units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260301 shortname: vedh longname: Vertical Eddy Diffusivity Heat exchange units: m**2 s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260302 shortname: covmz longname: Covariance between Meridional and Zonal Components of the wind. units: m**2 s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260303 shortname: covtz longname: Covariance between Temperature and Zonal Components of the wind. units: K m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260304 shortname: covtm longname: Covariance between Temperature and Meridional Components of the wind. units: K m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260305 shortname: vdfua longname: Vertical Diffusion Zonal Acceleration units: m s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260306 shortname: vdfva longname: Vertical Diffusion Meridional Acceleration units: m s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260307 shortname: gwdu longname: Gravity wave drag zonal acceleration units: m s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260308 shortname: gwdv longname: Gravity wave drag meridional acceleration units: m s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260309 shortname: cnvu longname: Convective zonal momentum mixing acceleration units: m s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260310 shortname: cnvv longname: Convective meridional momentum mixing acceleration units: m s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260311 shortname: wtend longname: Tendency of vertical velocity units: m s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260312 shortname: omgalf longname: Omega (Dp/Dt) divide by density units: K description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260313 shortname: cngwdu longname: Convective Gravity wave drag zonal acceleration units: m s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260314 shortname: cngwdv longname: Convective Gravity wave drag meridional acceleration units: m s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260315 shortname: lmv longname: Velocity Point Model Surface units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260316 shortname: pvmww longname: Potential Vorticity (Mass-Weighted) units: (s m**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260317 shortname: mslet longname: MSLP (Eta model reduction) units: Pa description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260318 shortname: ptype_sev1h longname: Precipitation type (most severe) in the last 1 hour units: (Code table 4.201) description: '' access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id025 - *id028 - *id030 - *id033 - id: 260319 shortname: ptype_sev3h longname: Precipitation type (most severe) in the last 3 hours units: (Code table 4.201) description: '' access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id025 - *id028 - *id030 - *id033 - id: 260320 shortname: ptype_freq1h longname: Precipitation type (most frequent) in the last 1 hour units: (Code table 4.201) description: '' access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id025 - *id028 - *id030 - *id033 - id: 260321 shortname: ptype_freq3h longname: Precipitation type (most frequent) in the last 3 hours units: (Code table 4.201) description: '' access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id025 - *id028 - *id030 - *id033 - id: 260323 shortname: mslma longname: MSLP (MAPS System Reduction) units: Pa description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260324 shortname: tslsa longname: 3-hr pressure tendency (Std. Atmos. Reduction) units: Pa s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260325 shortname: plpl longname: Pressure of level from which parcel was lifted units: Pa description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260326 shortname: lpsx longname: X-gradient of Log Pressure units: m**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260327 shortname: lpsy longname: Y-gradient of Log Pressure units: m**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260328 shortname: hgtx longname: X-gradient of Height units: m**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260329 shortname: hgty longname: Y-gradient of Height units: m**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260330 shortname: layth longname: Layer Thickness units: m description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260331 shortname: nlgsp longname: Natural Log of Surface Pressure units: ln(kPa) description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260332 shortname: cnvumf longname: Convective updraft mass flux units: kg (m**2 s-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260333 shortname: cnvdmf longname: Convective downdraft mass flux units: kg (m**2 s-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260334 shortname: cnvdemf longname: Convective detrainment mass flux units: kg (m**2 s-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260335 shortname: lmh longname: Mass Point Model Surface units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260336 shortname: hgtn longname: Geopotential Height (nearest grid point) units: gpm description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260337 shortname: presn longname: Pressure (nearest grid point) units: Pa description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260338 shortname: ptype_sev6h longname: Precipitation type (most severe) in the last 6 hours units: (Code table 4.201) description: '' access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id025 - *id028 - *id030 - *id033 - id: 260339 shortname: ptype_freq6h longname: Precipitation type (most frequent) in the last 6 hours units: (Code table 4.201) description: '' access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id025 - *id028 - *id030 - *id033 - id: 260340 shortname: duvb longname: UV-B downward solar flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260341 shortname: cduvb longname: Clear sky UV-B downward solar flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260342 shortname: csdsf longname: Clear Sky Downward Solar Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 - 34 table: 260 mars_request_context: [] - id: 260343 shortname: swhr longname: Solar Radiative Heating Rate units: K s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260344 shortname: csusf longname: Clear Sky Upward Solar Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 - 34 table: 260 mars_request_context: [] - id: 260345 shortname: cfnsf longname: Cloud Forcing Net Solar Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260346 shortname: vbdsf longname: Visible Beam Downward Solar Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260347 shortname: vddsf longname: Visible Diffuse Downward Solar Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260348 shortname: nbdsf longname: Near IR Beam Downward Solar Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260349 shortname: nddsf longname: Near IR Diffuse Downward Solar Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260350 shortname: dtrf longname: Downward Total radiation Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260351 shortname: utrf longname: Upward Total radiation Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260354 shortname: lwhr longname: Long-Wave Radiative Heating Rate units: K s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260355 shortname: csulf longname: Clear Sky Upward Long Wave Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 - 34 table: 260 mars_request_context: [] - id: 260356 shortname: csdlf longname: Clear Sky Downward Long Wave Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 - 34 table: 260 mars_request_context: [] - id: 260357 shortname: cfnlf longname: Cloud Forcing Net Long Wave Flux units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260360 shortname: sot longname: Soil temperature units: K description: '' access_ids: - dissemination origin_ids: - 0 table: 260 mars_request_context: - *id245 - *id246 - *id247 - id: 260361 shortname: sdswrfcs longname: Surface downward short-wave radiation flux, clear sky units: W m**-2 description:

Downward short-wave radiation flux computed under actual atmospheric conditions but assuming zero cloudiness

access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260362 shortname: suswrfcs longname: Surface upward short-wave radiation flux, clear sky units: W m**-2 description:

Upward short-wave radiation flux computed under actual atmospheric conditions but assuming zero cloudiness.

access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260363 shortname: sdlwrfcs longname: Surface downward long-wave radiation flux, clear sky units: W m**-2 description:

Downward long-wave radiation flux computed under actual atmospheric conditions but assuming zero cloudiness

access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260364 shortname: sohf longname: Soil heat flux units: W m**-2 description: 'The soil heat flux is the energy receive by the soil to heat it per unit of surface and time.
The Soil heat flux is positive when the soil receives energy (warms) and negative when the soil loses energy (cools).' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260365 shortname: percr longname: Percolation rate units: kg m**-2 s**-1 description: 'The percolation is the downward movement of water under hydrostatic pressure in the saturated zone.
This water might still end up in rivers and lakes as discharge but it is a slower process than water runoff or drainage.
Such defined percolation is an input for hydrological models together with e.g. water runoff.' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260366 shortname: mflux longname: Convective Cloud Mass Flux units: Pa s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260367 shortname: sod longname: Soil depth units: m description: Soil depth, positive downward. It is meant to be used together with the type of level "soil level" to encode the depth of the level at each grid point. access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260368 shortname: som longname: Soil moisture units: kg m**-3 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260369 shortname: ri longname: Richardson Number units: Numeric description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260370 shortname: cwdi longname: Convective Weather Detection Index units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260372 shortname: uphl longname: Updraft Helicity units: m**2 s**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260373 shortname: lai longname: Leaf Area Index units: Numeric description: null access_ids: [] origin_ids: - 0 - 7 table: 260 mars_request_context: [] - id: 260374 shortname: pmtc longname: Particulate matter (coarse) units: (10**-6 g) m**-3 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260375 shortname: pmtf longname: Particulate matter (fine) units: (10**-6 g) m**-3 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260376 shortname: lpmtf longname: Particulate matter (fine) units: log10((10**-6g) m**-3) description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260377 shortname: lipmf longname: Integrated column particulate matter (fine) units: log10((10**-6g) m**-3) description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260379 shortname: ozcon longname: Ozone Concentration (PPB) units: ppb description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260380 shortname: ozcat longname: Categorical Ozone Concentration units: dimensionless description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260381 shortname: vdfoz longname: Ozone vertical diffusion units: kg (kg s**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260382 shortname: poz longname: Ozone production units: kg (kg s**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260383 shortname: toz longname: Ozone tendency units: kg (kg s**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260384 shortname: pozt longname: Ozone production from temperature term units: kg (kg s**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260385 shortname: pozo longname: Ozone production from col ozone term units: kg (kg s**-1)**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260386 shortname: refzr longname: Derived radar reflectivity backscatter from rain units: mm**6 m**-3 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260387 shortname: refzi longname: Derived radar reflectivity backscatter from ice units: mm**6 m**-3 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260388 shortname: refzc longname: Derived radar reflectivity backscatter from parameterized convection units: mm**6 m**-3 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260389 shortname: refd longname: Derived radar reflectivity units: dB description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260390 shortname: refc longname: Maximum/Composite radar reflectivity units: dB description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260391 shortname: ltng longname: Lightning units: dimensionless description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260394 shortname: srcono longname: Slight risk convective outlook units: categorical description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260395 shortname: mrcono longname: Moderate risk convective outlook units: categorical description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260396 shortname: hrcono longname: High risk convective outlook units: categorical description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260397 shortname: torprob longname: Tornado probability units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260398 shortname: hailprob longname: Hail probability units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260399 shortname: windprob longname: Wind probability units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260400 shortname: storprob longname: Significant Tornado probability units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260401 shortname: shailpro longname: Significant Hail probability units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260402 shortname: swindpro longname: Significant Wind probability units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260403 shortname: tstmc longname: Categorical Thunderstorm (1-yes, 0-no) units: categorical description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260404 shortname: mixly longname: Number of mixed layers next to surface units: Integer description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260405 shortname: flght longname: Flight Category units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260406 shortname: cicel longname: Confidence - Ceiling units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260407 shortname: civis longname: Confidence - Visibility units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260408 shortname: ciflt longname: Confidence - Flight Category units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260409 shortname: lavni longname: Low-Level aviation interest units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260410 shortname: havni longname: High-Level aviation interest units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260411 shortname: sbsalb longname: Visible, Black Sky Albedo units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260412 shortname: swsalb longname: Visible, White Sky Albedo units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260413 shortname: nbsalb longname: Near IR, Black Sky Albedo units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260414 shortname: nwsalb longname: Near IR, White Sky Albedo units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260415 shortname: prsvr longname: Total Probability of Severe Thunderstorms (Days 2,3) units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260416 shortname: prsigsvr longname: Total Probability of Extreme Severe Thunderstorms (Days 2,3) units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260417 shortname: sipd longname: Supercooled Large Droplet (SLD) Potential units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260418 shortname: epsr longname: Radiative emissivity units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260419 shortname: tpfi longname: Turbulence Potential Forecast Index units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260420 shortname: vaftd longname: Volcanic Ash Forecast Transport and Dispersion units: log10(kg m**-3) description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260421 shortname: nlat longname: Latitude (-90 to +90) units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260422 shortname: elon longname: East Longitude (0 - 360) units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260423 shortname: adswrf_cs longname: Accumulated surface downward short-wave radiation flux, clear sky units: J m**-2 description: '' access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260424 shortname: mlyno longname: Model Layer number (From bottom up) units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260425 shortname: nlatn longname: Latitude (nearest neighbor) (-90 to +90) units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260426 shortname: elonn longname: East Longitude (nearest neighbor) (0 - 360) units: deg description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260427 shortname: auswrf_cs longname: Accumulated surface upward short-wave radiation flux, clear sky units: J m**-2 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260428 shortname: adlwrf_cs longname: Accumulated surface downward long-wave radiation flux, clear sky units: J m**-2 description: '' access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260429 shortname: cpozp longname: Probability of Freezing Precipitation units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260430 shortname: perc longname: Percolation units: kg m**-2 description: Accumulated version of 'Percolation rate' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260431 shortname: ppffg longname: Probability of precipitation exceeding flash flood guidance values units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260432 shortname: cwr longname: Probability of Wetting Rain, exceeding in 0.10 in a given time period units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260433 shortname: etr longname: Evapotranspiration rate units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260436 shortname: petr longname: Potential evapotranspiration rate units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260439 shortname: vgtyp longname: Vegetation Type units: Integer(0-13) description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260442 shortname: wilt longname: Wilting Point units: Fraction description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260443 shortname: rorwe longname: Runoff rate water equivalent (surface plus subsurface) units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260447 shortname: rdrip longname: Rate of water dropping from canopy to ground units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260448 shortname: icwat longname: Ice-free water surface units: '%' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260449 shortname: akhs longname: Surface exchange coefficients for T and Q divided by delta z units: m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260450 shortname: akms longname: Surface exchange coefficients for U and V divided by delta z units: m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260451 shortname: vegt longname: Vegetation canopy temperature units: K description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260452 shortname: sstor longname: Surface water storage units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260453 shortname: lsoil longname: Liquid soil moisture content (non-frozen) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260454 shortname: ewatr longname: Open water evaporation (standing water) units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260455 shortname: gwrec longname: Groundwater recharge units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260456 shortname: qrec longname: Flood plain recharge units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260457 shortname: sfcrh longname: Roughness length for heat units: m description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260458 shortname: ndvi longname: Normalized Difference Vegetation Index units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260459 shortname: landn longname: Land-sea coverage (nearest neighbor) [land=1,sea=0] units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260460 shortname: amixl longname: Asymptotic mixing length scale units: m description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260461 shortname: wvinc longname: Water vapor added by precip assimilation units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260462 shortname: wcinc longname: Water condensate added by precip assimilation units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260463 shortname: wvconv longname: Water Vapor Flux Convergence (Vertical Int) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260464 shortname: wcconv longname: Water Condensate Flux Convergence (Vertical Int) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260465 shortname: wvuflx longname: Water Vapor Zonal Flux (Vertical Int) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260466 shortname: wvvflx longname: Water Vapor Meridional Flux (Vertical Int) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260467 shortname: wcuflx longname: Water Condensate Zonal Flux (Vertical Int) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260468 shortname: wcvflx longname: Water Condensate Meridional Flux (Vertical Int) units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260469 shortname: acond longname: Aerodynamic conductance units: m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260470 shortname: evcw longname: Canopy water evaporation units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260471 shortname: trans longname: Transpiration units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260474 shortname: sltyp longname: Surface Slope Type units: Index description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260475 shortname: smr longname: Snow melt rate units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260478 shortname: evbs longname: Direct evaporation from bare soil units: W m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260479 shortname: lspa longname: Land Surface Precipitation Accumulation units: kg m**-2 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260480 shortname: baret longname: Bare soil surface skin temperature units: K description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260481 shortname: avsft longname: Average surface skin temperature units: K description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260482 shortname: radt longname: Effective radiative skin temperature units: K description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260483 shortname: fldcp longname: Field Capacity units: Fraction description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260484 shortname: usct longname: Scatterometer Estimated U Wind Component units: m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260485 shortname: vsct longname: Scatterometer Estimated V Wind Component units: m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260486 shortname: wstp longname: Wave Steepness units: '~' description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260487 shortname: omlu longname: Ocean Mixed Layer U Velocity units: m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260488 shortname: omlv longname: Ocean Mixed Layer V Velocity units: m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260489 shortname: ubaro longname: Barotropic U velocity units: m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260490 shortname: vbaro longname: Barotropic V velocity units: m s**-1 description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260491 shortname: surge longname: Storm Surge units: m description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260492 shortname: etsrg longname: Extra Tropical Storm Surge units: m description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260493 shortname: elevhtml longname: Ocean Surface Elevation Relative to Geoid units: m description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260494 shortname: sshg longname: Sea Surface Height Relative to Geoid units: m description: null access_ids: [] origin_ids: - 7 table: 260 mars_request_context: [] - id: 260495 shortname: p2omlt longname: Ocean Mixed Layer Potential Density (Reference 2000m)
\r\nInformation on how the Fine Fuel Moisture code is calculated\ \ is given in: Development and structure of the Canadian Forest Fire Weather Index\ \ System. 1987. Van Wagner, C.E. Canadian Forestry Service, Headquarters, Ottawa.\ \ Forestry Technical Report 35. 35 p." access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260542 shortname: dufmcode longname: Duff moisture code (as defined by the Canadian Forest Service) units: Numeric description: "Numerical rating of the moisture content of loosely compacted organic\ \ fuel layers of moderate depth.
\r\nInformation on how the Duff Moisture Code\ \ is calculated is given in: Development and structure of the Canadian Forest\ \ Fire Weather Index System. 1987. Van Wagner, C.E. Canadian Forestry Service,\ \ Headquarters, Ottawa. Forestry Technical Report 35. 35 p." access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260543 shortname: drtcode longname: Drought code (as defined by the Canadian Forest Service) units: Numeric description: "Numerical rating of the moisture content of deep, compact organic\ \ fuel layers.
\r\nInformation on how the Drought Code is calculated is given\ \ in: Development and structure of the Canadian Forest Fire Weather Index System.\ \ 1987. Van Wagner, C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry\ \ Technical Report 35. 35 p." access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260544 shortname: infsinx longname: Initial fire spread index (as defined by the Canadian Forest Service) units: Numeric description: "Numerical rating of the expected rate of fire spread.
\r\nInformation\ \ on how the Initial fire spread index is calculated is given in: Development\ \ and structure of the Canadian Forest Fire Weather Index System. 1987. Van Wagner,\ \ C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report\ \ 35. 35 p." access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260545 shortname: fbupinx longname: Fire buildup index (as defined by the Canadian Forest Service) units: Numeric description: "Numerical rating of the total amount of fuel available for combustion.
\r\ \nInformation on how the fire build-up index is calculated is given in: Development\ \ and structure of the Canadian Forest Fire Weather Index System. 1987. Van Wagner,\ \ C.E. Canadian Forestry Service, Headquarters, Ottawa. Forestry Technical Report\ \ 35. 35 p." access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260546 shortname: fdsrte longname: Fire daily severity rating (as defined by the Canadian Forest Service) units: Numeric description: "Numeric rating of the difficulty of controlling fires. It is based\ \ on the Fire Weather Index but more accurately reflects the expected efforts\ \ required for fire suppression.
\r\nInformation on how the fire daily severity\ \ rating is calculated is given in: Development and structure of the Canadian\ \ Forest Fire Weather Index System. 1987. Van Wagner, C.E. Canadian Forestry Service,\ \ Headquarters, Ottawa. Forestry Technical Report 35. 35 p." access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260550 shortname: '~' longname: Cloudy radiance (with respect to wave number) units: W m**-1 sr**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260551 shortname: '~' longname: Clear-sky radiance (with respect to wave number) units: W m**-1 sr**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260552 shortname: '~' longname: Wind speed units: m s**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260553 shortname: '~' longname: Aerosol optical thickness at 0.635 um units: dimensionless description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260554 shortname: '~' longname: Aerosol optical thickness at 0.810 um units: dimensionless description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260555 shortname: '~' longname: Aerosol optical thickness at 1.640 um units: dimensionless description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260556 shortname: '~' longname: Angstrom coefficient units: dimensionless description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260557 shortname: kbdi longname: Keetch-Byram drought index units: Numeric description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260558 shortname: drtmrk longname: Drought factor (as defined by the Australian forest service) units: Numeric description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260559 shortname: rosmrk longname: Rate of spread (as defined by the Australian forest service) units: m s**-1 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260560 shortname: fdimrk longname: Fire danger index (as defined by the Australian forest service) units: Numeric description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260561 shortname: scnfdr longname: Spread component (as defined by the U.S Forest Service National Fire-Danger Rating System) units: Numeric description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260562 shortname: buinfdr longname: Burning index (as defined by the U.S Forest Service National Fire-Danger Rating System) units: Numeric description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260563 shortname: icnfdr longname: Ignition component (as defined by the U.S Forest Service National Fire-Danger Rating System) units: '%' description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260564 shortname: ercnfdr longname: Energy release component (as defined by the U.S Forest Service National Fire-Danger Rating System) units: J m**-2 description: '' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260565 shortname: pof longname: Probability of fire detection units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260566 shortname: pil longname: Probability of ignition from lightning units: '%' description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260600 shortname: evpsfc longname: Mean evaporation units: mm per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260601 shortname: tpratsfc longname: Mean total precipitation units: mm per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260602 shortname: lpratsfc longname: Mean large scale precipitation units: mm per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260603 shortname: cpratsfc longname: Mean convective precipitation units: mm per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260604 shortname: srweqsfc longname: Mean snowfall rate water equivalent units: mm per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260605 shortname: rofsfc longname: Mean surface water runoff units: mm per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260606 shortname: bvf2tht longname: Square of Brunt-Vaisala frequency units: s**-2 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260607 shortname: aduahbl longname: Adiabatic zonal acceleration units: m s**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260609 shortname: advaprs longname: Adiabatic meridional acceleration units: m s**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260610 shortname: frcvsfc longname: Mean frequency of deep convection units: '%' description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260611 shortname: frcvssfc longname: Mean frequency of shallow convection units: '%' description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260612 shortname: frscsfc longname: Mean frequency of stratocumulus parameterisation units: '%' description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260613 shortname: gwduahbl longname: Gravity wave zonal acceleration units: m s**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260614 shortname: gwdvahbl longname: Gravity wave meridional acceleration units: m s**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260615 shortname: ltrssfc longname: Mean evapotranspiration units: W m**-2 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260616 shortname: adhrhbl longname: Adiabatic heating rate units: K per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260617 shortname: mscsfc longname: Moisture storage on canopy units: m description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260618 shortname: msgsfc longname: Moisture storage on ground or cover units: m description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260619 shortname: smcugl longname: Mass concentration of condensed water in soil units: kg m**-3 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260621 shortname: mflxbhbl longname: Upward mass flux at cloud base units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260622 shortname: mfluxhbl longname: Upward mass flux units: kg m**-2 s**-1 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260623 shortname: admrhbl longname: Adiabatic moistening rate units: kg kg**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260624 shortname: ozonehbl longname: Ozone mixing ratio units: mg kg**-1 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260625 shortname: cnvuahbl longname: Convective zonal acceleration units: m s**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260626 shortname: fglusfc longname: Mean zonal momentum flux by long gravity wave units: N m**-2 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260627 shortname: fglvsfc longname: Mean meridional momentum flux by long gravity wave units: N m**-2 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260628 shortname: fgsvsfc longname: Mean meridional momentum flux by short gravity wave units: N m**-2 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260629 shortname: fgsusfc longname: Mean zonal momentum flux by short gravity wave units: N m**-2 description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260632 shortname: cnvvahbl longname: Convective meridional acceleration units: m s**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260633 shortname: lrghrhbl longname: Large scale condensation heating rate units: K per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260634 shortname: cnvhrhbl longname: Convective heating rate units: K per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260635 shortname: cnvmrhbl longname: Convective moistening rate units: kg kg**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260636 shortname: vdfhrhbl longname: Vertical diffusion heating rate units: K per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260637 shortname: vdfuahbl longname: Vertical diffusion zonal acceleration units: m s**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260638 shortname: vdfvahbl longname: Vertical diffusion meridional acceleration units: m s**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260639 shortname: vdfmrhbl longname: Vertical diffusion moistening rate units: kg kg**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260640 shortname: swhrhbl longname: Solar radiative heating rate units: K per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260641 shortname: lwhrhbl longname: Long wave radiative heating rate units: K per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260642 shortname: lrgmrhbl longname: Large scale moistening rate units: kg kg**-1 per day description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260643 shortname: tovg longname: Type of vegetation units: (Code table JMA-252) description: '' access_ids: [] origin_ids: - 34 table: 260 mars_request_context: [] - id: 260644 shortname: vsi longname: Volumetric soil ice units: m**3 m**-3 description: This parameter is the water equivalent of volumetric soil ice content. It is the volume that the liquid water would have if the ice melted. access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260645 shortname: titspf longname: Time integral of total solid precipitation flux units: kg m**-2 description: "This parameter is the accumulated sum of all types of solid water,\ \ e.g. graupel, snow and hail that falls to the Earth's surface. It is the sum\ \ of large-scale solid precipitation and convective solid precipitation.\r\n\r\ \nIn the ECMWF Integrated Forecasting System (IFS), large-scale solid precipitation\ \ is generated by the prognostic cloud scheme. Convective solid precipitation\ \ is generated by the convection scheme in the IFS, which represents convection\ \ at spatial scales smaller than the grid box.See further information. This parameter does not include precipitation that\ \ evaporates in the atmosphere before it lands at the surface of the Earth.\r\n\ \r\nThis parameter is the total amount of solid precipitation accumulated over a particular time period which depends on the data extracted.\r\ \n\r\nCare should be taken when comparing model parameters with observations,\ \ because observations are often local to a particular point in space and time,\ \ rather than representing averages over a model grid box." access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260646 shortname: 10efg longname: 10 metre eastward wind gust since previous post-processing units: m s**-1 description: 'This parameter is the eastward component of the maximum wind gust since the previous post-processing step at a height of ten metres above the surface of the Earth.
The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step since the previous post-processing time.
Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260647 shortname: 10nfg longname: 10 metre northward wind gust since previous post-processing units: m s**-1 description: 'This parameter is the northward component of the maximum wind gust since the previous post-processing step at a height of ten metres above the surface of the Earth.
The WMO defines a wind gust as the maximum of the wind averaged over 3 second intervals. This duration is shorter than a model time step, and so the ECMWF Integrated Forecasting System deduces the magnitude of a gust within each time step from the time-step-averaged surface stress, surface friction, wind shear and stability. Then, the maximum wind gust is selected from the gusts at each time step since the previous post-processing time.
Care should be taken when comparing model parameters with observations, because observations are often local to a particular point in space and time, rather than representing averages over a model grid box and model time step.' access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260648 shortname: fog longname: Fog units: '%' description: This parameter is defined as cloud cover in the lowest model level. access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260649 shortname: sist longname: Sea ice surface temperature units: K description: This parameter is the temperature of sea ice near the surface. access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260650 shortname: sitd longname: Snow on ice total depth units: m description: This parameter is snow on ice depth. access_ids: [] origin_ids: - -20 table: 260 mars_request_context: [] - id: 260651 shortname: srlh longname: Surface roughness length for heat units: m description: The surface roughness for heat is a measure of the surface resistance to heat transfer. This parameter is used to determine the air to surface transfer of heat. For given atmospheric conditions, a higher surface roughness for heat means that it is more difficult for the air to exchange heat with the surface. A lower surface roughness for heat that it is easier for the air to exchange heat with the surface.
Over the ocean, surface roughness for heat depends on the waves. Over sea-ice, it has a constant value of 0.001 m. Over the land, it is derived from the vegetation type and snow cover. See further information. access_ids: [] origin_ids: - 98 table: 260 mars_request_context: [] - id: 260652 shortname: etssofd longname: Time-integrated eastward turbulent surface stress due to orographic form drag units: N m**-2 s description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260653 shortname: ntssofd longname: Time-integrated northward turbulent surface stress due to orographic form drag units: N m**-2 s description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260654 shortname: etsssr longname: Time-integrated eastward turbulent surface stress due to surface roughness units: N m**-2 s description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260655 shortname: ntsssr longname: Time-integrated northward turbulent surface stress due to surface roughness units: N m**-2 s description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260656 shortname: sqw longname: Saturation specific humidity with respect to water units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260657 shortname: tcsqw longname: Total column integrated saturation specific humidity with respect to water units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260658 shortname: spi longname: Standardised Precipitation Index (SPI) units: Numeric description: The Standardised Precipitation Index (SPI) is a widely used index to detect and characterise meteorological drought on a range of timescales (McKee et al., 1993). access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260659 shortname: spei longname: Standardised Precipitation Evapotranspiration Index (SPEI) units: Numeric description: The Standardised Precipitation Evapotranspiration Index (SPEI) is a multiscalar drought index often used to detect and characterise drought conditions (Vicente-Serrano et al., 2010). As an extension of the Standardised Precipitation Index (SPI), the SPEI evaluates the climatic water balance at the land surface and includes the effects of temperature in the drought assessment. access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260660 shortname: ssfi longname: Standardised Streamflow Index (SSFI) units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260661 shortname: srsi longname: Standardised Reservoir Supply Index (SRSI) units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260662 shortname: swi longname: Standardised Water-level Index (SWI) units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260663 shortname: smri longname: Standardised Snowmelt and Rain Index (SMRI) units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260664 shortname: sdi longname: Streamflow Drought Index (SDI) units: Numeric description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260665 shortname: vsw20 longname: Volumetric soil moisture top 20 cm units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260666 shortname: vsw100 longname: Volumetric soil moisture top 100 cm units: m**3 m**-3 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260667 shortname: parcsf longname: Surface photosynthetically active radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260668 shortname: sdirnswrf longname: Surface direct normal short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260669 shortname: imagss longname: Instantaneous magnitude of turbulent surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260670 shortname: ibld longname: Instantaneous boundary layer dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260671 shortname: tnswrf longname: Top net short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260672 shortname: tnlwrf longname: Top net long-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260673 shortname: igwd longname: Instantaneous gravity wave dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260674 shortname: tnswrfcs longname: Top net short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260675 shortname: tnlwrfcs longname: Top net long-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260676 shortname: tdswrf longname: Top downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260677 shortname: sdirswrfcs longname: Surface direct short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260678 shortname: ietssofd longname: Instantaneous eastward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260679 shortname: intssofd longname: Instantaneous northward turbulent surface stress due to orographic form drag units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260680 shortname: ietsssr longname: Instantaneous eastward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260681 shortname: intsssr longname: Instantaneous northward turbulent surface stress due to surface roughness units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260682 shortname: sev_ptype longname: Time-severity precipitation type units: (Code table 4.201) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260683 shortname: freq_ptype longname: Time-mode precipitation type units: (Code table 4.201) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260684 shortname: lshnf longname: Land surface heat net flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260685 shortname: sdirnswrfcs longname: Surface direct normal short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260686 shortname: 10cogu longname: 10 metre convective gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260687 shortname: 10tugu longname: 10 metre turbulent gust units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260688 shortname: rol longname: Reciprocal Obukhov length units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260689 shortname: rdpr longname: Precipitation rate from radar units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260690 shortname: rdqi longname: Radar data quality index units: Proportion description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260691 shortname: rdqf longname: Radar data quality flag units: (Code table 4.106) description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260692 shortname: frdpr longname: Precipitation rate from forecasted radar imagery units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260693 shortname: frdp longname: Precipitation from forecasted radar imagery units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 260694 shortname: sdifswrfcs longname: Surface diffuse short-wave radiation flux, clear sky units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 260 mars_request_context: [] - id: 261001 shortname: utci longname: Universal thermal climate index units: K description: The Universal Thermal Climate Index (UTCI) is defined as the air temperature of a reference outdoor environment that would elicit in the human body the same physiological response (sweat production, shivering, skin wettedness,skin blood flow and rectal, mean skin and face temperatures) as the actual environment (Jendritzky et al. 2012) access_ids: - dissemination origin_ids: - 0 table: 261 mars_request_context: - *id028 - *id033 - id: 261002 shortname: mrt longname: Mean radiant temperature units: K description: The mean radiant temperature is the temperature of a uniform, black enclosure that exchanges the same amount of heat by radiation with the occupant as the actual surroundings (ANSI/ASHRAE 2017). access_ids: - dissemination origin_ids: - 0 table: 261 mars_request_context: - *id028 - *id033 - id: 261003 shortname: mal_cases_frac longname: Fraction of Malaria cases units: Fraction description: Fraction of new clinical malaria cases per person access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261004 shortname: mal_prot_ratio longname: Malaria circumsporozoite protein ratio units: Fraction description: Malaria circumsporozoite protein ratio (Fraction of infective vectors) access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261005 shortname: mal_innoc_rate longname: Plasmodium falciparum entomological inoculation rate units: Bites per day per person description: The Plasmodium falciparum entomological inoculation rate is a measure of exposure to infectious mosquitoes. It is usually interpreted as the number of P. falciparum infective bites received by an individual during a day. access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261006 shortname: mal_hbite_rate longname: Human bite rate by anopheles vectors units: Bites per day per person description: Bite rate by Anopheles vectors access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261007 shortname: mal_immun_ratio longname: Malaria immunity ratio units: Fraction description: Proportion of population with acquired malaria immunity access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261008 shortname: mal_infect_ratio longname: Falciparum parasite ratio units: Fraction description: Proportion of hosts infected access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261009 shortname: mal_infect_d10_ratio longname: Detectable falciparum parasite ratio (after day 10) units: Fraction description: Proportion of hosts infected detected (after day 10) access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261010 shortname: mal_host_ratio longname: Anopheles vector to host ratio units: Fraction description: Number of Anopheles vectors to number of infected population access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261011 shortname: mal_vect_dens longname: Anopheles vector density units: Number m**-2 description: Number of Anopheles vectors per unit area access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261012 shortname: mal_hab_frac longname: Fraction of malarial vector reproductive habitat units: Fraction description: Water coverage of small scale breeding sites access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261013 shortname: pop_dens longname: Population density units: Person m**-2 description: Number of persons per unit area access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261014 shortname: wbgt longname: Wet bulb globe temperature units: K description: The wet bulb globe temperature is a measure of environmental heat as it affects humans. It is derived from air temperature, dew point temperature, wind speed and mean radiant temperature. access_ids: - dissemination origin_ids: - 0 table: 261 mars_request_context: - *id028 - *id033 - id: 261015 shortname: gt longname: Globe temperature units: K description: The (black) globe temperature is an indirect measurement of the radiant heat load of the environment. Its name comes from the way the parameter is measured, i.e. via a thermometer installed inside a hollow copper sphere painted matte black. It is calculated using the air temperature, wind speed and mean radiant temperature. access_ids: - dissemination origin_ids: - 0 table: 261 mars_request_context: - *id028 - *id033 - id: 261016 shortname: hmdx longname: Humidex units: K description: The humidex, which is an abbreviation for humidity index, describes how the combined effects of warm temperatures and humidity are perceived by an average person. It is calculated using the air temperature and the dew point temperature. access_ids: - dissemination origin_ids: - 0 table: 261 mars_request_context: - *id028 - *id033 - id: 261017 shortname: efft longname: Effective temperature units: K description: null access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261018 shortname: nefft longname: Normal effective temperature units: K description: ' The normal effective temperature links air temperature, humidity and wind with the human body’s thermoregulatory capacity. It is derived from air temperature, wind speed and relative humidity.' access_ids: - dissemination origin_ids: - 0 table: 261 mars_request_context: - *id028 - *id033 - id: 261019 shortname: sefft longname: Standard effective temperature units: K description: null access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261020 shortname: peqt longname: Physiological equivalent temperature units: K description: null access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261021 shortname: swvp longname: Saturation water vapour pressure units: Pa description: null access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261022 shortname: wbpt longname: Wet-bulb potential temperature units: K description: This parameter describes the temperature a parcel of air at any level would have if, starting at the wet-bulb temperature, it were brought at the saturated adiabatic lapse rate to the standard pressure of 1,000 mbar. access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261023 shortname: wbt longname: Wet-bulb temperature units: K description: The (natural) wet bulb temperature represents the temperature measured by a thermometer wrapped in a wet cloth, which simulates the cooling effect of human sweat. access_ids: - dissemination origin_ids: - 0 table: 261 mars_request_context: - *id028 - *id033 - id: 261024 shortname: exhf longname: Excess heat factor units: K**2 description: null access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 261025 shortname: excf longname: Excess cold factor units: K**2 description: null access_ids: [] origin_ids: - 0 table: 261 mars_request_context: [] - id: 262000 shortname: sithick longname: Sea ice thickness units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - &id249 class: od stream: eefh type: cf levtype: o2d - &id250 class: od stream: eefh type: pf levtype: o2d - &id251 class: od stream: eefo type: cf levtype: o2d - &id252 class: od stream: eefo type: pf levtype: o2d - &id253 class: od stream: elda type: fc levtype: o2d - &id254 class: od stream: enfh type: cf levtype: o2d - &id255 class: od stream: enfh type: pf levtype: o2d - &id256 class: od stream: enfo type: pf levtype: o2d - &id257 class: od stream: lwda type: fc levtype: o2d - &id258 class: od stream: oper type: fc levtype: o2d - id: 262001 shortname: siconc longname: Sea ice area fraction units: Fraction description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262002 shortname: sisnthick longname: Snow thickness over sea ice units: m description: null access_ids: - dissemination origin_ids: - -90 - -80 - -50 - 98 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262003 shortname: siue longname: Eastward sea ice velocity units: m s**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262004 shortname: sivn longname: Northward sea ice velocity units: m s**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262005 shortname: sialb longname: Sea ice albedo units: Fraction description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262006 shortname: sitemptop longname: Sea ice surface temperature units: K description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262007 shortname: sigrowth longname: Sea ice growth units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262008 shortname: sivol longname: Sea ice volume per unit area units: m**3 m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262009 shortname: snvol longname: Snow volume over sea ice per unit area units: m**3 m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262010 shortname: vasit longname: Vertically averaged sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262011 shortname: sntemp longname: Snow temperature over sea ice units: K description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262012 shortname: sisntemp longname: Sea ice temperature at the sea ice and snow interface units: K description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262013 shortname: usitemp longname: Underside ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262014 shortname: sihc longname: Sea ice heat content units: J m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262015 shortname: snhc longname: Snow heat content over sea ice units: J m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262016 shortname: sifbr longname: Sea ice freeboard thickness units: m description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262017 shortname: sipf longname: Sea ice melt pond fraction units: Proportion description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262018 shortname: sipd longname: Sea ice melt pond depth units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262019 shortname: sipvol longname: Sea ice melt pond volume per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262020 shortname: bckinsic longname: Sea ice fraction tendency due to parameterization units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262021 shortname: six longname: X-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262022 shortname: siy longname: Y-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262023 shortname: icesalt longname: Sea ice salinity units: g kg**-1 description: '' access_ids: - dissemination origin_ids: - -80 - -50 - 98 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262024 shortname: sit longname: Sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262025 shortname: sibm longname: Sea ice breakup memory units: Numeric description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262100 shortname: sos longname: Sea surface practical salinity units: g kg**-1 description: '' access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262101 shortname: tos longname: Sea surface temperature units: K description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262102 shortname: t14d longname: Depth of 14 C isotherm units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262103 shortname: t17d longname: Depth of 17 C isotherm units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262104 shortname: t20d longname: Depth of 20 C isotherm units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262105 shortname: t26d longname: Depth of 26 C isotherm units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262106 shortname: t28d longname: Depth of 28 C isotherm units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262107 shortname: stfbarot longname: Barotropic stream function units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262108 shortname: hfds longname: Surface downward heat flux units: W m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262109 shortname: tauvon longname: Northward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262110 shortname: tauuoe longname: Eastward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262111 shortname: tauvo longname: Y-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262112 shortname: tauuo longname: X-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262113 shortname: mlotst010 longname: Ocean mixed layer depth defined by sigma theta 0.01 kg m-3 units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262114 shortname: mlotst030 longname: Ocean mixed layer depth defined by sigma theta 0.03 kg m-3 units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262115 shortname: mlotst125 longname: Ocean mixed layer depth defined by sigma theta 0.125 kg m-3 units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262116 shortname: mlott02 longname: Ocean mixed layer depth defined by temperature 0.2 C units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262117 shortname: mlott05 longname: Ocean mixed layer depth defined by temperature 0.5 C units: m description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262118 shortname: sc300m longname: Average sea water practical salinity in the upper 300 m units: g kg**-1 description: '' access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262119 shortname: sc700m longname: Average sea water practical salinity in the upper 700 m units: g kg**-1 description: '' access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262120 shortname: scbtm longname: Total column average sea water practical salinity units: g kg**-1 description: '' access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262121 shortname: hc300m longname: Vertically-integrated heat content in the upper 300 m units: J m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262122 shortname: hc700m longname: Vertically-integrated heat content in the upper 700 m units: J m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262123 shortname: hcbtm longname: Total column of heat content units: J m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262124 shortname: zos longname: Sea surface height units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262125 shortname: stheig longname: Steric change in sea surface height units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262126 shortname: hstheig longname: Halosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262127 shortname: tstheig longname: Thermosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262128 shortname: thcline longname: Thermocline depth units: m description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262129 shortname: btp longname: Bottom pressure equivalent height units: m description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262130 shortname: swfup longname: Net surface upward water flux units: kg m**-2 s**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262131 shortname: fw2sw longname: Fresh water flux into sea water (from rivers) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262132 shortname: vsf2sw longname: Virtual salt flux into sea water units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262133 shortname: hfcorr longname: Heat flux correction units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262134 shortname: fwcorr longname: Fresh water flux correction units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262135 shortname: vsfcorr longname: Virtual salt flux correction units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262136 shortname: turbocl longname: Turbocline depth (kz=5e-4) units: m description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262137 shortname: svy longname: Y-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262138 shortname: svx longname: X-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262139 shortname: svn longname: Northward surface sea water velocity units: m s**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262140 shortname: sve longname: Eastward surface sea water velocity units: m s**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262141 shortname: hct26 longname: Heat Content surface to 26C isotherm units: J m**-2 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262142 shortname: bckineta longname: Sea surface height tendency due to parameterization units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262143 shortname: zosib longname: Sea surface height with inverse barometer correction units: m description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id249 - *id250 - *id251 - *id252 - *id253 - *id254 - *id255 - *id256 - *id257 - *id258 - id: 262144 shortname: pt300m longname: Average sea water potential temperature in the upper 300m units: K description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262145 shortname: sss longname: Sea surface salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262146 shortname: sc300v longname: Vertically integrated sea water practical salinity in the upper 300 m units: g kg**-1 m description: Can also be seen as kg of salt per square metre in the sea water column (assuming a density of water of 1000 kg m-3). access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262147 shortname: sc700v longname: Vertically integrated sea water practical salinity in the upper 700 m units: g kg**-1 m description: Can also be seen as kg of salt per square metre in the sea water column (assuming a density of water of 1000 kg m-3). access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262148 shortname: scbtv longname: Total column vertically integrated sea water practical salinity units: g kg**-1 m description: Can also be seen as kg of salt per square metre in the sea water column (assuming a density of water of 1000 kg m-3). access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262149 shortname: rsdos longname: Sea surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262500 shortname: so longname: Sea water practical salinity units: g kg**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - &id259 class: od stream: elda type: fc levtype: o3d - &id260 class: od stream: enfo type: pf levtype: o3d - &id261 class: od stream: lwda type: fc levtype: o3d - &id262 class: od stream: oper type: fc levtype: o3d - id: 262501 shortname: thetao longname: Sea water potential temperature units: K description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id259 - *id260 - *id261 - *id262 - id: 262502 shortname: sigmat longname: Sea water sigma theta units: kg m**-3 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id259 - *id260 - *id261 - *id262 - id: 262503 shortname: voy longname: Y-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262504 shortname: uox longname: X-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262505 shortname: von longname: Northward sea water velocity units: m s**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id259 - *id260 - *id261 - *id262 - id: 262506 shortname: uoe longname: Eastward sea water velocity units: m s**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id259 - *id260 - *id261 - *id262 - id: 262507 shortname: wo longname: Upward sea water velocity units: m s**-1 description: null access_ids: - dissemination origin_ids: - 0 table: 262 mars_request_context: - *id259 - *id260 - *id261 - *id262 - id: 262508 shortname: thetaodmp longname: Sea water potential temperature tendency due to newtonian relaxation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262509 shortname: sodmp longname: Sea water salinity tendency due to newtonian relaxation units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262510 shortname: bckint longname: Sea water temperature tendency due to parameterization units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262511 shortname: bckins longname: Sea water salinity tendency due to parameterization units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262512 shortname: bckine longname: Eastward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262513 shortname: bckinn longname: Northward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262514 shortname: tdbiascorr longname: Sea water temperature tendency due to direct bias correction units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262515 shortname: sdbiascorr longname: Sea water salinity tendency due to direct bias correction units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262516 shortname: salo longname: Sea water salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262517 shortname: mtn longname: Northward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262518 shortname: mte longname: Eastward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262519 shortname: zo longname: Sea water depth units: m description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262520 shortname: mtup longname: Sea water upward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262521 shortname: agessc longname: Sea water age since surface contact units: s description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262522 shortname: rsdo longname: Sea water downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262523 shortname: sigmatrel longname: Sea water sigma theta relative units: Proportion description: null access_ids: [] origin_ids: - 98 table: 262 mars_request_context: [] - id: 262900 shortname: ssr_sea longname: Net short wave radiation rate at sea surface units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262901 shortname: wst_sea longname: Wind stress at sea surface units: N m**-2 description: '' access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262902 shortname: 10ws_sea longname: Wind speed at 10m above sea surface units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262903 shortname: 10nd_sea longname: Neutral drag coefficient at 10m above sea surface units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262904 shortname: tprate_sea longname: Total precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262905 shortname: snrate_sea longname: Snow precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262906 shortname: ewst_sea longname: Eastward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262907 shortname: nwst_sea longname: Northward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262908 shortname: uwst_sea longname: U-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 262909 shortname: vwst_sea longname: V-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 262 mars_request_context: [] - id: 263000 shortname: avg_sithick longname: Time-mean sea ice thickness units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263001 shortname: avg_siconc longname: Time-mean sea ice area fraction units: Fraction description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263002 shortname: avg_sisnthick longname: Time-mean snow thickness over sea ice units: m description: null access_ids: [] origin_ids: - -90 - -80 - -50 - 98 table: 263 mars_request_context: [] - id: 263003 shortname: avg_siue longname: Time-mean eastward sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263004 shortname: avg_sivn longname: Time-mean northward sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263005 shortname: avg_sialb longname: Time-mean sea ice albedo units: Fraction description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263006 shortname: avg_sitemptop longname: Time-mean sea ice surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263007 shortname: avg_sigrowth longname: Time-mean sea ice growth units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263008 shortname: avg_sivol longname: Time-mean sea ice volume per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263009 shortname: avg_snvol longname: Time-mean snow volume over sea ice per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263010 shortname: avg_vasit longname: Time-mean vertically averaged sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263011 shortname: avg_sntemp longname: Time-mean snow temperature over sea ice units: K description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263012 shortname: avg_sisntemp longname: Time-mean sea ice temperature at the sea ice and snow interface units: K description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263013 shortname: avg_usitemp longname: Time-mean underside ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263014 shortname: avg_sihc longname: Time-mean sea ice heat content units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263015 shortname: avg_snhc longname: Time-mean snow heat content over sea ice units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263016 shortname: avg_sifbr longname: Time-mean sea ice freeboard thickness units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263017 shortname: avg_sipf longname: Time-mean sea ice melt pond fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263018 shortname: avg_sipd longname: Time-mean sea ice melt pond depth units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263019 shortname: avg_sipvol longname: Time-mean sea ice melt pond volume per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263020 shortname: avg_bckinsic longname: Time-mean sea ice fraction tendency due to parameterization units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263021 shortname: avg_six longname: Time-mean X-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263022 shortname: avg_siy longname: Time-mean Y-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263023 shortname: avg_icesalt longname: Time-mean Sea ice salinity units: g kg**-1 description: '' access_ids: [] origin_ids: - -80 - -50 - 98 table: 263 mars_request_context: [] - id: 263024 shortname: avg_sit longname: Time-mean sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263025 shortname: avg_sibm longname: Time-mean sea ice breakup memory units: Numeric description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263100 shortname: avg_sos longname: Time-mean sea surface practical salinity units: g kg**-1 description: '' access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263101 shortname: avg_tos longname: Time-mean sea surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263102 shortname: avg_t14d longname: Time-mean depth of 14 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263103 shortname: avg_t17d longname: Time-mean depth of 17 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263104 shortname: avg_t20d longname: Time-mean depth of 20 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263105 shortname: avg_t26d longname: Time-mean depth of 26 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263106 shortname: avg_t28d longname: Time-mean depth of 28 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263107 shortname: avg_stfbarot longname: Time-mean barotropic stream function units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263108 shortname: avg_hfds longname: Time-mean surface downward heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263109 shortname: avg_tauvon longname: Time-mean northward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263110 shortname: avg_tauuoe longname: Time-mean eastward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263111 shortname: avg_tauvo longname: Time mean Y-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263112 shortname: avg_tauuo longname: Time-mean X-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263113 shortname: avg_mlotst010 longname: Time-mean ocean mixed layer depth defined by sigma theta 0.01 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263114 shortname: avg_mlotst030 longname: Time-mean ocean mixed layer depth defined by sigma theta 0.03 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263115 shortname: avg_mlotst125 longname: Time-mean ocean mixed layer depth defined by sigma theta 0.125 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263116 shortname: avg_mlott02 longname: Time-mean ocean mixed layer depth defined by temperature 0.2 C units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263117 shortname: avg_mlott05 longname: Time-mean ocean mixed layer depth defined by temperature 0.5 C units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263118 shortname: avg_sc300m longname: Time-mean average sea water practical salinity in the upper 300 m units: g kg**-1 description: '' access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263119 shortname: avg_sc700m longname: Time-mean average sea water practical salinity in the upper 700 m units: g kg**-1 description: '' access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263120 shortname: avg_scbtm longname: Time-mean total column average sea water practical salinity units: g kg**-1 description: '' access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263121 shortname: avg_hc300m longname: Time-mean vertically-integrated heat content in the upper 300 m units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263122 shortname: avg_hc700m longname: Time-mean vertically-integrated heat content in the upper 700 m units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263123 shortname: avg_hcbtm longname: Time-mean total column heat content units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263124 shortname: avg_zos longname: Time-mean sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263125 shortname: avg_stheig longname: Time-mean steric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263126 shortname: avg_hstheig longname: Time-mean halosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263127 shortname: avg_tstheig longname: Time-mean thermosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263128 shortname: avg_thcline longname: Time-mean thermocline depth units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263129 shortname: avg_btp longname: Time-mean bottom pressure equivalent height units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263130 shortname: avg_swfup longname: Time-mean net surface upward water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263131 shortname: avg_fw2sw longname: Time-mean fresh water flux into sea water (from rivers) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263132 shortname: avg_vsf2sw longname: Time-mean virtual salt flux into sea water units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263133 shortname: avg_hfcorr longname: Time-mean heat flux correction units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263134 shortname: avg_fwcorr longname: Time-mean fresh water flux correction units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263135 shortname: avg_vsfcorr longname: Time-mean virtual salt flux correction units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263136 shortname: avg_turbocl longname: Time-mean turbocline depth (kz=5e-4) units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263137 shortname: avg_svy longname: Time-mean Y-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263138 shortname: avg_svx longname: Time-mean X-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263139 shortname: avg_svn longname: Time-mean northward surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263140 shortname: avg_sve longname: Time-mean eastward surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263141 shortname: avg_hct26 longname: Time-mean heat content surface to 26C isotherm units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263142 shortname: avg_bckineta longname: Time-mean sea surface height tendency due to parameterization units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263143 shortname: avg_zosib longname: Time-mean sea surface height with inverse barometer correction units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263144 shortname: avg_pt300m longname: Time-mean average sea water potential temperature in the upper 300m units: K description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263145 shortname: avg_sss longname: Time-mean sea surface salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263146 shortname: avg_sc300v longname: Time-mean vertically integrated sea water practical salinity in the upper 300 m units: g kg**-1 m description: Can also be seen as kg of salt per square metre in the sea water column (assuming a density of water of 1000 kg m-3). access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263147 shortname: avg_sc700v longname: Time-mean vertically integrated sea water practical salinity in the upper 700 m units: g kg**-1 m description: Can also be seen as kg of salt per square metre in the sea water column (assuming a density of water of 1000 kg m-3). access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263148 shortname: avg_scbtv longname: Time-mean total column vertically integrated sea water practical salinity units: g kg**-1 m description: Can also be seen as kg of salt per square metre in the sea water column (assuming a density of water of 1000 kg m-3). access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263149 shortname: avg_rsdos longname: Time-mean sea surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263500 shortname: avg_so longname: Time-mean sea water practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263501 shortname: avg_thetao longname: Time-mean sea water potential temperature units: K description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263502 shortname: avg_sigmat longname: Time-mean sea water sigma theta units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263503 shortname: avg_voy longname: Time-mean Y-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263504 shortname: avg_uox longname: Time-mean X-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263505 shortname: avg_von longname: Time-mean northward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263506 shortname: avg_uoe longname: Time-mean eastward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263507 shortname: avg_wo longname: Time-mean upward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263508 shortname: avg_thetaodmp longname: Time-mean sea water potential temperature tendency due to newtonian relaxation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263509 shortname: avg_sodmp longname: Time-mean sea water salinity tendency due to newtonian relaxation units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263510 shortname: avg_bckint longname: Time-mean sea water temperature tendency due to parameterization units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263511 shortname: avg_bckins longname: Time-mean sea water salinity tendency due to parameterization units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263512 shortname: avg_bckine longname: Time-mean eastward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263513 shortname: avg_bckinn longname: Time-mean northward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263514 shortname: avg_tdbiascorr longname: Time-mean sea water temperature tendency due to direct bias correction units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263515 shortname: avg_sdbiascorr longname: Time-mean sea water salinity tendency due to direct bias correction units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263516 shortname: avg_salo longname: Time-mean sea water salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263517 shortname: avg_mtn longname: Time-mean northward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263518 shortname: avg_mte longname: Time-mean eastward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263519 shortname: avg_zo longname: Time-mean sea water depth units: m description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263520 shortname: avg_mtup longname: Time-mean sea water upward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263521 shortname: avg_agessc longname: Time-mean sea water age since surface contact units: s description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263522 shortname: avg_rsdo longname: Time-mean sea water downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263523 shortname: avg_sigmatrel longname: Time-mean sea water sigma theta relative units: Proportion description: null access_ids: [] origin_ids: - 98 table: 263 mars_request_context: [] - id: 263900 shortname: avg_ssr_sea longname: Time-mean net short wave radiation rate at sea surface units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263901 shortname: avg_wst_sea longname: Time-mean wind stress at sea surface units: N m**-2 description: '' access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263902 shortname: avg_10ws_sea longname: Time-mean wind speed at 10m above sea surface units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263903 shortname: avg_10nd_sea longname: Time-mean neutral drag coefficient at 10m above sea surface units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263904 shortname: avg_tprate_sea longname: Time-mean total precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263905 shortname: avg_snrate_sea longname: Time-mean snow precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263906 shortname: avg_ewst_sea longname: Time-mean eastward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263907 shortname: avg_nwst_sea longname: Time-mean northward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263908 shortname: avg_uwst_sea longname: Time-mean U-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 263909 shortname: avg_vwst_sea longname: Time-mean V-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 263 mars_request_context: [] - id: 264900 shortname: acc_ssr_sea longname: Time-accumulated net short wave radiation at sea surface units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 264 mars_request_context: [] - id: 264904 shortname: tp_sea longname: Time-accumulated total precipitation at sea surface units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 264 mars_request_context: [] - id: 264905 shortname: sn_sea longname: Time-accumulated snow precipitation at sea surface units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 264 mars_request_context: [] - id: 265000 shortname: max_sithick longname: Time-maximum sea ice thickness units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265001 shortname: max_siconc longname: Time-maximum sea ice area fraction units: Fraction description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265002 shortname: max_sisnthick longname: Time-maximum snow thickness over sea ice units: m description: null access_ids: [] origin_ids: - -50 - 98 table: 265 mars_request_context: [] - id: 265003 shortname: max_siue longname: Time-maximum eastward sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265004 shortname: max_sivn longname: Time-maximum northward sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265005 shortname: max_sialb longname: Time-maximum sea ice albedo units: Fraction description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265006 shortname: max_sitemptop longname: Time-maximum sea ice surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265007 shortname: max_sigrowth longname: Time-maximum sea ice growth units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265008 shortname: max_sivol longname: Time-maximum sea ice volume per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265009 shortname: max_snvol longname: Time-maximum snow volume over sea ice per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265010 shortname: max_vasit longname: Time-maximum vertically averaged sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265011 shortname: max_sntemp longname: Time-maximum snow temperature over sea ice units: K description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265012 shortname: max_sisntemp longname: Time-maximum sea ice temperature at the sea ice and snow interface units: K description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265013 shortname: max_usitemp longname: Time-maximum underside ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265014 shortname: max_sihc longname: Time-maximum sea ice heat content units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265015 shortname: max_snhc longname: Time-maximum snow heat content over sea ice units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265016 shortname: max_sifbr longname: Time-maximum sea ice freeboard thickness units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265017 shortname: max_sipf longname: Time-maximum sea ice melt pond fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265018 shortname: max_sipd longname: Time-maximum sea ice melt pond depth units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265019 shortname: max_sipvol longname: Time-maximum sea ice melt pond volume per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265020 shortname: max_bckinsic longname: Time-maximum sea ice fraction tendency due to parameterization units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265021 shortname: max_six longname: Time-maximum X-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265022 shortname: max_siy longname: Time-maximum Y-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265023 shortname: max_icesalt longname: Time-maximum sea ice salinity units: g kg**-1 description: null access_ids: [] origin_ids: - -50 - 98 table: 265 mars_request_context: [] - id: 265024 shortname: max_sit longname: Time-maximum sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265025 shortname: max_sibm longname: Time-maximum sea ice breakup memory units: Numeric description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265100 shortname: max_sos longname: Time-maximum sea surface practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265101 shortname: max_tos longname: Time-maximum sea surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265102 shortname: max_t14d longname: Time-maximum depth of 14 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265103 shortname: max_t17d longname: Time-maximum depth of 17 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265104 shortname: max_t20d longname: Time-maximum depth of 20 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265105 shortname: max_t26d longname: Time-maximum depth of 26 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265106 shortname: max_t28d longname: Time-maximum depth of 28 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265107 shortname: max_stfbarot longname: Time-maximum barotropic stream function units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265108 shortname: max_hfds longname: Time-maximum surface downward heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265109 shortname: max_tauvon longname: Time-maximum northward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265110 shortname: max_tauuoe longname: Time-maximum eastward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265111 shortname: max_tauvo longname: Time-maximum Y-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265112 shortname: max_tauuo longname: Time-maximum X-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265113 shortname: max_mlotst010 longname: Time-maximum ocean mixed layer depth defined by sigma theta 0.01 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265114 shortname: max_mlotst030 longname: Time-maximum ocean mixed layer depth defined by sigma theta 0.03 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265115 shortname: max_mlotst125 longname: Time-maximum ocean mixed layer depth defined by sigma theta 0.125 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265116 shortname: max_mlott02 longname: Time-maximum ocean mixed layer depth defined by temperature 0.2 C units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265117 shortname: max_mlott05 longname: Time-maximum ocean mixed layer depth defined by temperature 0.5 C units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265118 shortname: max_sc300m longname: Time-maximum average sea water practical salinity in the upper 300 m units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265119 shortname: max_sc700m longname: Time-maximum average sea water practical salinity in the upper 700 m units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265120 shortname: max_scbtm longname: Time-maximum total column average sea water practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265121 shortname: max_hc300m longname: Time-maximum vertically-integrated heat content in the upper 300 m units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265122 shortname: max_hc700m longname: Time-maximum vertically-integrated heat content in the upper 700 m units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265123 shortname: max_hcbtm longname: Time-maximum total column of heat content units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265124 shortname: max_zos longname: Time-maximum sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265125 shortname: max_stheig longname: Time-maximum steric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265126 shortname: max_hstheig longname: Time-maximum halosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265127 shortname: max_tstheig longname: Time-maximum thermosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265128 shortname: max_thcline longname: Time-maximum thermocline depth units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265129 shortname: max_btp longname: Time-maximum bottom pressure equivalent height units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265130 shortname: max_swfup longname: Time-maximum net surface upward water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265131 shortname: max_fw2sw longname: Time-maximum fresh water flux into sea water (from rivers) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265132 shortname: max_vsf2sw longname: Time-maximum virtual salt flux into sea water units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265133 shortname: max_hfcorr longname: Time-maximum heat flux correction units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265134 shortname: max_fwcorr longname: Time-maximum fresh water flux correction units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265135 shortname: max_vsfcorr longname: Time-maximum virtual salt flux correction units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265136 shortname: max_turbocl longname: Time-maximum turbocline depth (kz=5e-4) units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265137 shortname: max_svy longname: Time-maximum Y-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265138 shortname: max_svx longname: Time-maximum X-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265139 shortname: max_svn longname: Time-maximum northward surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265140 shortname: max_sve longname: Time-maximum eastward surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265141 shortname: max_hct26 longname: Time-maximum heat content surface to 26C isotherm units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265142 shortname: max_bckineta longname: Time-maximum sea surface height tendency due to parameterization units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265143 shortname: max_zosib longname: Time-maximum sea surface height with inverse barometer correction units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265144 shortname: max_pt300m longname: Time-maximum average sea water potential temperature in the upper 300m units: K description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265145 shortname: max_sss longname: Time-maximum sea surface salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265146 shortname: max_sc300v longname: Time-maximum vertically integrated sea water practical salinity in the upper 300 m units: g kg**-1 m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265147 shortname: max_sc700v longname: Time-maximum vertically integrated sea water practical salinity in the upper 700 m units: g kg**-1 m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265148 shortname: max_scbtv longname: Time-maximum total column vertically integrated sea water practical salinity units: g kg**-1 m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265149 shortname: max_rsdos longname: Time-maximum sea surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265500 shortname: max_so longname: Time-maximum sea water practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265501 shortname: max_thetao longname: Time-maximum sea water potential temperature units: K description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265502 shortname: max_sigmat longname: Time-maximum sea water sigma theta units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265503 shortname: max_voy longname: Time-maximum Y-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265504 shortname: max_uox longname: Time-maximum X-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265505 shortname: max_von longname: Time-maximum northward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265506 shortname: max_uoe longname: Time-maximum eastward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265507 shortname: max_wo longname: Time-maximum upward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265508 shortname: max_thetaodmp longname: Time-maximum sea water potential temperature tendency due to newtonian relaxation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265509 shortname: max_sodmp longname: Time-maximum sea water salinity tendency due to newtonian relaxation units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265510 shortname: max_bckint longname: Time-maximum sea water temperature tendency due to parameterization units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265511 shortname: max_bckins longname: Time-maximum sea water salinity tendency due to parameterization units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265512 shortname: max_bckine longname: Time-maximum eastward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265513 shortname: max_bckinn longname: Time-maximum northward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265514 shortname: max_tdbiascorr longname: Time-maximum sea water temperature tendency due to direct bias correction units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265515 shortname: max_sdbiascorr longname: Time-maximum sea water salinity tendency due to direct bias correction units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265516 shortname: max_salo longname: Time-maximum sea water salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265517 shortname: max_mtn longname: Time-maximum northward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265518 shortname: max_mte longname: Time-maximum eastward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265519 shortname: max_zo longname: Time-maximum sea water depth units: m description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265520 shortname: max_mtup longname: Time-maximum sea water upward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265521 shortname: max_agessc longname: Time-maximum sea water age since surface contact units: s description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265522 shortname: max_rsdo longname: Time-maximum sea water downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265900 shortname: max_ssr_sea longname: Time-maximum net short wave radiation rate at sea surface units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265901 shortname: max_wst_sea longname: Time-maximum wind stress at sea surface units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265902 shortname: max_10ws_sea longname: Time-maximum wind speed at 10m above sea surface units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265903 shortname: max_10nd_sea longname: Time-maximum neutral drag coefficient at 10m above sea surface units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265904 shortname: max_tprate_sea longname: Time-maximum total precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265905 shortname: max_snrate_sea longname: Time-maximum snow precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265906 shortname: max_ewst_sea longname: Time-maximum eastward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265907 shortname: max_nwst_sea longname: Time-maximum northward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265908 shortname: max_uwst_sea longname: Time-maximum U-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 265909 shortname: max_vwst_sea longname: Time-maximum V-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 265 mars_request_context: [] - id: 266000 shortname: min_sithick longname: Time-minimum sea ice thickness units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266001 shortname: min_siconc longname: Time-minimum sea ice area fraction units: Fraction description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266002 shortname: min_sisnthick longname: Time-minimum snow thickness over sea ice units: m description: null access_ids: [] origin_ids: - -50 - 98 table: 266 mars_request_context: [] - id: 266003 shortname: min_siue longname: Time-minimum eastward sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266004 shortname: min_sivn longname: Time-minimum northward sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266005 shortname: min_sialb longname: Time-minimum sea ice albedo units: Fraction description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266006 shortname: min_sitemptop longname: Time-minimum sea ice surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266007 shortname: min_sigrowth longname: Time-minimum sea ice growth units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266008 shortname: min_sivol longname: Time-minimum sea ice volume per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266009 shortname: min_snvol longname: Time-minimum snow volume over sea ice per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266010 shortname: min_vasit longname: Time-minimum vertically averaged sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266011 shortname: min_sntemp longname: Time-minimum snow temperature over sea ice units: K description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266012 shortname: min_sisntemp longname: Time-minimum sea ice temperature at the sea ice and snow interface units: K description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266013 shortname: min_usitemp longname: Time-minimum underside ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266014 shortname: min_sihc longname: Time-minimum sea ice heat content units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266015 shortname: min_snhc longname: Time-minimum snow heat content over sea ice units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266016 shortname: min_sifbr longname: Time-minimum sea ice freeboard thickness units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266017 shortname: min_sipf longname: Time-minimum sea ice melt pond fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266018 shortname: min_sipd longname: Time-minimum sea ice melt pond depth units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266019 shortname: min_sipvol longname: Time-minimum sea ice melt pond volume per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266020 shortname: min_bckinsic longname: Time-minimum sea ice fraction tendency due to parameterization units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266021 shortname: min_six longname: Time-minimum X-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266022 shortname: min_siy longname: Time-minimum Y-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266023 shortname: min_icesalt longname: Time-minimum sea ice salinity units: g kg**-1 description: null access_ids: [] origin_ids: - -50 - 98 table: 266 mars_request_context: [] - id: 266024 shortname: min_sit longname: Time-minimum sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266025 shortname: min_sibm longname: Time-minimum sea ice breakup memory units: Numeric description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266100 shortname: min_sos longname: Time-minimum sea surface practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266101 shortname: min_tos longname: Time-minimum sea surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266102 shortname: min_t14d longname: Time-minimum depth of 14 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266103 shortname: min_t17d longname: Time-minimum depth of 17 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266104 shortname: min_t20d longname: Time-minimum depth of 20 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266105 shortname: min_t26d longname: Time-minimum depth of 26 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266106 shortname: min_t28d longname: Time-minimum depth of 28 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266107 shortname: min_stfbarot longname: Time-minimum barotropic stream function units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266108 shortname: min_hfds longname: Time-minimum surface downward heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266109 shortname: min_tauvon longname: Time-minimum northward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266110 shortname: min_tauuoe longname: Time-minimum eastward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266111 shortname: min_tauvo longname: Time-minimum Y-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266112 shortname: min_tauuo longname: Time-minimum X-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266113 shortname: min_mlotst010 longname: Time-minimum ocean mixed layer depth defined by sigma theta 0.01 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266114 shortname: min_mlotst030 longname: Time-minimum ocean mixed layer depth defined by sigma theta 0.03 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266115 shortname: min_mlotst125 longname: Time-minimum ocean mixed layer depth defined by sigma theta 0.125 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266116 shortname: min_mlott02 longname: Time-minimum ocean mixed layer depth defined by temperature 0.2 C units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266117 shortname: min_mlott05 longname: Time-minimum ocean mixed layer depth defined by temperature 0.5 C units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266118 shortname: min_sc300m longname: Time-minimum average sea water practical salinity in the upper 300 m units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266119 shortname: min_sc700m longname: Time-minimum average sea water practical salinity in the upper 700 m units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266120 shortname: min_scbtm longname: Time-minimum total column average sea water practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266121 shortname: min_hc300m longname: Time-minimum vertically-integrated heat content in the upper 300 m units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266122 shortname: min_hc700m longname: Time-minimum vertically-integrated heat content in the upper 700 m units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266123 shortname: min_hcbtm longname: Time-minimum total column of heat content units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266124 shortname: min_zos longname: Time-minimum sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266125 shortname: min_stheig longname: Time-minimum steric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266126 shortname: min_hstheig longname: Time-minimum halosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266127 shortname: min_tstheig longname: Time-minimum thermosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266128 shortname: min_thcline longname: Time-minimum thermocline depth units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266129 shortname: min_btp longname: Time-minimum bottom pressure equivalent height units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266130 shortname: min_swfup longname: Time-minimum net surface upward water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266131 shortname: min_fw2sw longname: Time-minimum fresh water flux into sea water (from rivers) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266132 shortname: min_vsf2sw longname: Time-minimum virtual salt flux into sea water units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266133 shortname: min_hfcorr longname: Time-minimum heat flux correction units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266134 shortname: min_fwcorr longname: Time-minimum fresh water flux correction units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266135 shortname: min_vsfcorr longname: Time-minimum virtual salt flux correction units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266136 shortname: min_turbocl longname: Time-minimum turbocline depth (kz=5e-4) units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266137 shortname: min_svy longname: Time-minimum Y-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266138 shortname: min_svx longname: Time-minimum X-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266139 shortname: min_svn longname: Time-minimum northward surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266140 shortname: min_sve longname: Time-minimum eastward surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266141 shortname: min_hct26 longname: Time-minimum heat content surface to 26C isotherm units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266142 shortname: min_bckineta longname: Time-minimum sea surface height tendency due to parameterization units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266143 shortname: min_zosib longname: Time-minimum sea surface height with inverse barometer correction units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266144 shortname: min_pt300m longname: Time-minimum average sea water potential temperature in the upper 300m units: K description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266145 shortname: min_sss longname: Time-minimum sea surface salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266146 shortname: min_sc300v longname: Time-minimum vertically integrated sea water practical salinity in the upper 300 m units: g kg**-1 m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266147 shortname: min_sc700v longname: Time-minimum vertically integrated sea water practical salinity in the upper 700 m units: g kg**-1 m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266148 shortname: min_scbtv longname: Time-minimum total column vertically integrated sea water practical salinity units: g kg**-1 m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266149 shortname: min_rsdos longname: Time-minimum sea surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266500 shortname: min_so longname: Time-minimum sea water practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266501 shortname: min_thetao longname: Time-minimum sea water potential temperature units: K description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266502 shortname: min_sigmat longname: Time-minimum sea water sigma theta units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266503 shortname: min_voy longname: Time-minimum Y-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266504 shortname: min_uox longname: Time-minimum X-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266505 shortname: min_von longname: Time-minimum northward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266506 shortname: min_uoe longname: Time-minimum eastward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266507 shortname: min_wo longname: Time-minimum upward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266508 shortname: min_thetaodmp longname: Time-minimum sea water potential temperature tendency due to newtonian relaxation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266509 shortname: min_sodmp longname: Time-minimum sea water salinity tendency due to newtonian relaxation units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266510 shortname: min_bckint longname: Time-minimum sea water temperature tendency due to parameterization units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266511 shortname: min_bckins longname: Time-minimum sea water salinity tendency due to parameterization units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266512 shortname: min_bckine longname: Time-minimum eastward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266513 shortname: min_bckinn longname: Time-minimum northward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266514 shortname: min_tdbiascorr longname: Time-minimum sea water temperature tendency due to direct bias correction units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266515 shortname: min_sdbiascorr longname: Time-minimum sea water salinity tendency due to direct bias correction units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266516 shortname: min_salo longname: Time-minimum sea water salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266517 shortname: min_mtn longname: Time-minimum northward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266518 shortname: min_mte longname: Time-minimum eastward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266519 shortname: min_zo longname: Time-minimum sea water depth units: m description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266520 shortname: min_mtup longname: Time-minimum sea water upward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266521 shortname: min_agessc longname: Time-minimum sea water age since surface contact units: s description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266522 shortname: min_rsdo longname: Time-minimum sea water downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266900 shortname: min_ssr_sea longname: Time-minimum net short wave radiation rate at sea surface units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266901 shortname: min_wst_sea longname: Time-minimum wind stress at sea surface units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266902 shortname: min_10ws_sea longname: Time-minimum wind speed at 10m above sea surface units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266903 shortname: min_10nd_sea longname: Time-minimum neutral drag coefficient at 10m above sea surface units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266904 shortname: min_tprate_sea longname: Time-minimum total precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266905 shortname: min_snrate_sea longname: Time-minimum snow precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266906 shortname: min_ewst_sea longname: Time-minimum eastward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266907 shortname: min_nwst_sea longname: Time-minimum northward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266908 shortname: min_uwst_sea longname: Time-minimum U-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 266909 shortname: min_vwst_sea longname: Time-minimum V-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 266 mars_request_context: [] - id: 267000 shortname: std_sithick longname: Time-standard-deviation sea ice thickness units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267001 shortname: std_siconc longname: Time-standard-deviation sea ice area fraction units: Fraction description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267002 shortname: std_sisnthick longname: Time-standard-deviation snow thickness over sea ice units: m description: null access_ids: [] origin_ids: - -50 - 98 table: 267 mars_request_context: [] - id: 267003 shortname: std_siue longname: Time-standard-deviation eastward sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267004 shortname: std_sivn longname: Time-standard-deviation northward sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267005 shortname: std_sialb longname: Time-standard-deviation sea ice albedo units: Fraction description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267006 shortname: std_sitemptop longname: Time-standard-deviation sea ice surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267007 shortname: std_sigrowth longname: Time-standard-deviation sea ice growth units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267008 shortname: std_sivol longname: Time-standard-deviation sea ice volume per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267009 shortname: std_snvol longname: Time-standard-deviation snow volume over sea ice per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267010 shortname: std_vasit longname: Time-standard-deviation vertically averaged sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267011 shortname: std_sntemp longname: Time-standard-deviation snow temperature over sea ice units: K description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267012 shortname: std_sisntemp longname: Time-standard-deviation sea ice temperature at the sea ice and snow interface units: K description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267013 shortname: std_usitemp longname: Time-standard-deviation underside ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267014 shortname: std_sihc longname: Time-standard-deviation sea ice heat content units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267015 shortname: std_snhc longname: Time-standard-deviation snow heat content over sea ice units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267016 shortname: std_sifbr longname: Time-standard-deviation sea ice freeboard thickness units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267017 shortname: std_sipf longname: Time-standard-deviation sea ice melt pond fraction units: Proportion description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267018 shortname: std_sipd longname: Time-standard-deviation sea ice melt pond depth units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267019 shortname: std_sipvol longname: Time-standard-deviation sea ice melt pond volume per unit area units: m**3 m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267020 shortname: std_bckinsic longname: Time-standard-deviation sea ice fraction tendency due to parameterization units: s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267021 shortname: std_six longname: Time-standard-deviation X-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267022 shortname: std_siy longname: Time-standard-deviation Y-component of sea ice velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267023 shortname: std_icesalt longname: Time-standard-deviation sea ice salinity units: g kg**-1 description: null access_ids: [] origin_ids: - -50 - 98 table: 267 mars_request_context: [] - id: 267024 shortname: std_sit longname: Time-standard-deviation sea ice temperature units: K description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267025 shortname: std_sibm longname: Time-standard-deviation sea ice breakup memory units: Numeric description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267100 shortname: std_sos longname: Time-standard-deviation sea surface practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267101 shortname: std_tos longname: Time-standard-deviation sea surface temperature units: K description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267102 shortname: std_t14d longname: Time-standard-deviation depth of 14 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267103 shortname: std_t17d longname: Time-standard-deviation depth of 17 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267104 shortname: std_t20d longname: Time-standard-deviation depth of 20 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267105 shortname: std_t26d longname: Time-standard-deviation depth of 26 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267106 shortname: std_t28d longname: Time-standard-deviation depth of 28 C isotherm units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267107 shortname: std_stfbarot longname: Time-standard-deviation barotropic stream function units: m**3 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267108 shortname: std_hfds longname: Time-standard-deviation surface downward heat flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267109 shortname: std_tauvon longname: Time-standard-deviation northward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267110 shortname: std_tauuoe longname: Time-standard-deviation eastward surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267111 shortname: std_tauvo longname: Time-standard-deviation Y-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267112 shortname: std_tauuo longname: Time-standard-deviation X-component of surface stress units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267113 shortname: std_mlotst010 longname: Time-standard-deviation ocean mixed layer depth defined by sigma theta 0.01 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267114 shortname: std_mlotst030 longname: Time-standard-deviation ocean mixed layer depth defined by sigma theta 0.03 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267115 shortname: std_mlotst125 longname: Time-standard-deviation ocean mixed layer depth defined by sigma theta 0.125 kg m-3 units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267116 shortname: std_mlott02 longname: Time-standard-deviation ocean mixed layer depth defined by temperature 0.2 C units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267117 shortname: std_mlott05 longname: Time-standard-deviation ocean mixed layer depth defined by temperature 0.5 C units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267118 shortname: std_sc300m longname: Time-standard-deviation average sea water practical salinity in the upper 300 m units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267119 shortname: std_sc700m longname: Time-standard-deviation average sea water practical salinity in the upper 700 m units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267120 shortname: std_scbtm longname: Time-standard-deviation total column average sea water practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267121 shortname: std_hc300m longname: Time-standard-deviation vertically-integrated heat content in the upper 300 m units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267122 shortname: std_hc700m longname: Time-standard-deviation vertically-integrated heat content in the upper 700 m units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267123 shortname: std_hcbtm longname: Time-standard-deviation total column of heat content units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267124 shortname: std_zos longname: Time-standard-deviation sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267125 shortname: std_stheig longname: Time-standard-deviation steric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267126 shortname: std_hstheig longname: Time-standard-deviation halosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267127 shortname: std_tstheig longname: Time-standard-deviation thermosteric change in sea surface height units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267128 shortname: std_thcline longname: Time-standard-deviation thermocline depth units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267129 shortname: std_btp longname: Time-standard-deviation bottom pressure equivalent height units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267130 shortname: std_swfup longname: Time-standard-deviation net surface upward water flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267131 shortname: std_fw2sw longname: Time-standard-deviation fresh water flux into sea water (from rivers) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267132 shortname: std_vsf2sw longname: Time-standard-deviation virtual salt flux into sea water units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267133 shortname: std_hfcorr longname: Time-standard-deviation heat flux correction units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267134 shortname: std_fwcorr longname: Time-standard-deviation fresh water flux correction units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267135 shortname: std_vsfcorr longname: Time-standard-deviation virtual salt flux correction units: g kg**-1 m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267136 shortname: std_turbocl longname: Time-standard-deviation turbocline depth (kz=5e-4) units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267137 shortname: std_svy longname: Time-standard-deviation Y-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267138 shortname: std_svx longname: Time-standard-deviation X-component of surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267139 shortname: std_svn longname: Time-standard-deviation northward surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267140 shortname: std_sve longname: Time-standard-deviation eastward surface sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267141 shortname: std_hct26 longname: Time-standard-deviation heat content surface to 26C isotherm units: J m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267142 shortname: std_bckineta longname: Time-standard-deviation sea surface height tendency due to parameterization units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267143 shortname: std_zosib longname: Time-standard-deviation sea surface height with inverse barometer correction units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267144 shortname: std_pt300m longname: Time-standard-deviation average sea water potential temperature in the upper 300m units: K description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267145 shortname: std_sss longname: Time-standard-deviation sea surface salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267146 shortname: std_sc300v longname: Time-standard-deviation vertically integrated sea water practical salinity in the upper 300 m units: g kg**-1 m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267147 shortname: std_sc700v longname: Time-standard-deviation vertically integrated sea water practical salinity in the upper 700 m units: g kg**-1 m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267148 shortname: std_scbtv longname: Time-standard-deviation total column vertically integrated sea water practical salinity units: g kg**-1 m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267149 shortname: std_rsdos longname: Time-standard-deviation sea surface downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267500 shortname: std_so longname: Time-standard-deviation sea water practical salinity units: g kg**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267501 shortname: std_thetao longname: Time-standard-deviation sea water potential temperature units: K description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267502 shortname: std_sigmat longname: Time-standard-deviation sea water sigma theta units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267503 shortname: std_voy longname: Time-standard-deviation Y-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267504 shortname: std_uox longname: Time-standard-deviation X-component of sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267505 shortname: std_von longname: Time-standard-deviation northward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267506 shortname: std_uoe longname: Time-standard-deviation eastward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267507 shortname: std_wo longname: Time-standard-deviation upward sea water velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267508 shortname: std_thetaodmp longname: Time-standard-deviation sea water potential temperature tendency due to newtonian relaxation units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267509 shortname: std_sodmp longname: Time-standard-deviation sea water salinity tendency due to newtonian relaxation units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267510 shortname: std_bckint longname: Time-standard-deviation sea water temperature tendency due to parameterization units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267511 shortname: std_bckins longname: Time-standard-deviation sea water salinity tendency due to parameterization units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267512 shortname: std_bckine longname: Time-standard-deviation eastward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267513 shortname: std_bckinn longname: Time-standard-deviation northward sea water velocity tendency due to parameterization units: m s**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267514 shortname: std_tdbiascorr longname: Time-standard-deviation sea water temperature tendency due to direct bias correction units: K s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267515 shortname: std_sdbiascorr longname: Time-standard-deviation sea water salinity tendency due to direct bias correction units: g kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267516 shortname: std_salo longname: Time-standard-deviation sea water salinity units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267517 shortname: std_mtn longname: Time-standard-deviation northward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267518 shortname: std_mte longname: Time-standard-deviation eastward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267519 shortname: std_zo longname: Time-standard-deviation sea water depth units: m description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267520 shortname: std_mtup longname: Time-standard-deviation sea water upward mass transport units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267521 shortname: std_agessc longname: Time-standard-deviation sea water age since surface contact units: s description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267522 shortname: std_rsdo longname: Time-standard-deviation sea water downward short-wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267900 shortname: std_ssr_sea longname: Time-standard-deviation net short wave radiation rate at sea surface units: W m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267901 shortname: std_wst_sea longname: Time-standard-deviation wind stress at sea surface units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267902 shortname: std_10ws_sea longname: Time-standard-deviation wind speed at 10m above sea surface units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267903 shortname: std_10nd_sea longname: Time-standard-deviation neutral drag coefficient at 10m above sea surface units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267904 shortname: std_tprate_sea longname: Time-standard-deviation total precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267905 shortname: std_snrate_sea longname: Time-standard-deviation snow precipitation rate at sea surface units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267906 shortname: std_ewst_sea longname: Time-standard-deviation eastward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267907 shortname: std_nwst_sea longname: Time-standard-deviation northward component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267908 shortname: std_uwst_sea longname: Time-standard-deviation U-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 267909 shortname: std_vwst_sea longname: Time-standard-deviation V-component of wind stress over sea ice units: N m**-2 description: null access_ids: [] origin_ids: - 0 table: 267 mars_request_context: [] - id: 300001 shortname: pres longname: Pressure units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300002 shortname: psnm longname: Pressure reduced to msl units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300003 shortname: tsps longname: Pressure tendency units: Pa s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300006 shortname: geop longname: Geopotential units: dam description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300007 shortname: zgeo longname: Geopotential height units: gpm description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300008 shortname: gzge longname: Geometric height units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300011 shortname: temp longname: Absolute temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300012 shortname: vtmp longname: Virtual temperature units: K description: null access_ids: [] origin_ids: - 0 - 34 - 46 table: 300 mars_request_context: [] - id: 300013 shortname: ptmp longname: Potential temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300014 shortname: psat longname: Pseudo-adiabatic potential temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300015 shortname: mxtp longname: Maximum temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300016 shortname: mntp longname: Minimum temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300017 shortname: tpor longname: Dew point temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300018 shortname: dptd longname: Dew point depression units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300019 shortname: lpsr longname: Lapse rate units: K m**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300021 shortname: rds1 longname: Radar spectra(1) units: dimensionless description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300022 shortname: rds2 longname: Radar spectra(2) units: dimensionless description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300023 shortname: rds3 longname: Radar spectra(3) units: dimensionless description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300025 shortname: tpan longname: Temperature anomaly units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300026 shortname: psan longname: Pressure anomaly units: Pa hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300027 shortname: zgan longname: Geopot height anomaly units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300028 shortname: wvs1 longname: Wave spectra(1) units: dimensionless description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300029 shortname: wvs2 longname: Wave spectra(2) units: dimensionless description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300030 shortname: wvs3 longname: Wave spectra(3) units: dimensionless description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300031 shortname: wind longname: Wind direction units: deg description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300032 shortname: wins longname: Wind speed units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300033 shortname: uvel longname: Zonal wind (u) units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300034 shortname: vvel longname: Meridional wind (v) units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300035 shortname: fcor longname: Stream function units: m**2 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300036 shortname: potv longname: Velocity potential units: m**2 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300038 shortname: sgvv longname: Sigma coord vert vel units: s s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300039 shortname: omeg longname: Omega units: Pa s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300040 shortname: omg2 longname: Vertical velocity units: m s**-1 description: null access_ids: [] origin_ids: - 34 - 46 table: 300 mars_request_context: [] - id: 300041 shortname: abvo longname: Absolute vorticity units: 10**5 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300042 shortname: abdv longname: Absolute divergence units: 10**5 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300043 shortname: vort longname: Vorticity units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300044 shortname: divg longname: Divergence units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300045 shortname: vucs longname: Vertical u-comp shear units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300046 shortname: vvcs longname: Vert v-comp shear units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300047 shortname: dirc longname: Direction of current units: deg description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300048 shortname: spdc longname: Speed of current units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300049 shortname: ucpc longname: U-component of current units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300050 shortname: vcpc longname: V-component of current units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300051 shortname: umes longname: Specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300052 shortname: umrl longname: Relative humidity units: '~' description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300053 shortname: hmxr longname: Humidity mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300054 shortname: agpl longname: Inst. precipitable water units: kg m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300055 shortname: vapp longname: Vapour pressure units: Pa hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300056 shortname: sadf longname: Saturation deficit units: Pa hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300057 shortname: evap longname: Evaporation units: kg m**-2/day description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300059 shortname: prcr longname: Precipitation rate units: kg m**-2/day description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300060 shortname: thpb longname: Thunder probability units: '%' description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300061 shortname: prec longname: Total precipitation units: kg m**-2/day description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300062 shortname: prge longname: Large scale precipitation units: kg m**-2/day description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300063 shortname: prcv longname: Convective precipitation units: kg m**-2/day description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300064 shortname: neve longname: Snowfall units: kg m**-2/day description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300065 shortname: wenv longname: Wat equiv acc snow depth units: kg m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300066 shortname: nvde longname: Snow depth units: cm description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300067 shortname: mxld longname: Mixed layer depth units: m cm description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300068 shortname: tthd longname: Trans thermocline depth units: m cm description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300069 shortname: mthd longname: Main thermocline depth units: m cm description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300070 shortname: mtha longname: Main thermocline anom units: m cm description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300071 shortname: cbnv longname: Cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300072 shortname: cvnv longname: Convective cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300073 shortname: lwnv longname: Low cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300074 shortname: mdnv longname: Medium cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300075 shortname: hinv longname: High cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300076 shortname: wtnv longname: Cloud water units: kg m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300077 shortname: bli longname: Best lifted index (to 500 hpa) units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300081 shortname: lsmk longname: Land sea mask units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300082 shortname: dslm longname: Dev sea_lev from mean units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300083 shortname: zorl longname: Roughness length units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300084 shortname: albe longname: Albedo units: '%' description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300085 shortname: dstp longname: Deep soil temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300086 shortname: soic longname: Soil moisture content units: kg m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300087 shortname: vege longname: Vegetation units: '%' description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300089 shortname: dens longname: Density units: kg m**-3 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300091 shortname: icec longname: Ice concentration units: Fraction description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300092 shortname: icet longname: Ice thickness units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300093 shortname: iced longname: Direction of ice drift units: deg description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300094 shortname: ices longname: Speed of ice drift units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300095 shortname: iceu longname: U-comp of ice drift units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300096 shortname: icev longname: V-comp of ice drift units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300097 shortname: iceg longname: Ice growth units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300098 shortname: icdv longname: Ice divergence units: s s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300100 shortname: shcw longname: Sig hgt com wave/swell units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300101 shortname: wwdi longname: Direction of wind wave units: deg description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300102 shortname: wwsh longname: Sig hght of wind waves units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300103 shortname: wwmp longname: Mean period wind waves units: s description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300104 shortname: swdi longname: Direction of swell wave units: deg description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300105 shortname: swsh longname: Sig height swell waves units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300106 shortname: swmp longname: Mean period swell waves units: s description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300107 shortname: prwd longname: Primary wave direction units: deg description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300108 shortname: prmp longname: Prim wave mean period units: s description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300109 shortname: swdi longname: Second wave direction units: deg description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300110 shortname: swmp longname: Second wave mean period units: s description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300111 shortname: ocas longname: Short wave absorbed at ground units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300112 shortname: slds longname: Net long wave at bottom units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300113 shortname: nswr longname: Net short-wav rad(top) units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300114 shortname: role longname: Outgoing long wave at top units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300115 shortname: lwrd longname: Long-wav rad units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300116 shortname: swea longname: Short wave absorbed by earth/atmosphere units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300117 shortname: glbr longname: Global radiation units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300121 shortname: clsf longname: Latent heat flux from surface units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300122 shortname: cssf longname: Sensible heat flux from surface units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300123 shortname: blds longname: Bound layer dissipation units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300127 shortname: imag longname: Image units: image^data description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300128 shortname: tp2m longname: 2 metre temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300129 shortname: dp2m longname: 2 metre dewpoint temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300130 shortname: u10m longname: 10 metre u-wind component units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300131 shortname: v10m longname: 10 metre v-wind component units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300132 shortname: topo longname: Topography units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300133 shortname: gsfp longname: Geometric mean surface pressure units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300134 shortname: lnsp longname: Ln surface pressure units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300135 shortname: pslc longname: Surface pressure units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300136 shortname: pslm longname: M s l pressure (mesinger method) units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300137 shortname: mask longname: Mask units: -/+ description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300138 shortname: mxwu longname: Maximum u-wind units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300139 shortname: mxwv longname: Maximum v-wind units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300140 shortname: cape longname: Convective avail. pot.energy units: m**2 s**-12 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300141 shortname: cine longname: Convective inhib. energy units: m**2 s**-12 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300142 shortname: lhcv longname: Convective latent heating units: K s**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300143 shortname: mscv longname: Convective moisture source units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300144 shortname: scvm longname: Shallow conv. moisture source units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300145 shortname: scvh longname: Shallow convective heating units: K s**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300146 shortname: mxwp longname: Maximum wind press. lvl units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300147 shortname: ustr longname: Storm motion u-component units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300148 shortname: vstr longname: Storm motion v-component units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300149 shortname: cbnt longname: Mean cloud cover units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300150 shortname: pcbs longname: Pressure at cloud base units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300151 shortname: pctp longname: Pressure at cloud top units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300152 shortname: fzht longname: Freezing level height units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300153 shortname: fzrh longname: Freezing level relative humidity units: '%' description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300154 shortname: fdlt longname: Flight levels temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300155 shortname: fdlu longname: Flight levels u-wind units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300156 shortname: fdlv longname: Flight levels v-wind units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300157 shortname: tppp longname: Tropopause pressure units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300158 shortname: tppt longname: Tropopause temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300159 shortname: tppu longname: Tropopause u-wind component units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300160 shortname: tppv longname: Tropopause v-wind component units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300162 shortname: gvdu longname: Gravity wave drag du/dt units: m s**-12 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300163 shortname: gvdv longname: Gravity wave drag dv/dt units: m s**-12 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300164 shortname: gvus longname: Gravity wave drag sfc zonal stress units: Pa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300165 shortname: gvvs longname: Gravity wave drag sfc meridional stress units: Pa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300167 shortname: dvsh longname: Divergence of specific humidity units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300168 shortname: hmfc longname: Horiz. moisture flux conv. units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300169 shortname: vmfl longname: Vert. integrated moisture flux conv. units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300170 shortname: vadv longname: Vertical moisture advection units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300171 shortname: nhcm longname: Neg. hum. corr. moisture source units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300172 shortname: lglh longname: Large scale latent heating units: K s**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300173 shortname: lgms longname: Large scale moisture source units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300174 shortname: smav longname: Soil moisture availability units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300175 shortname: tgrz longname: Soil temperature of root zone units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300176 shortname: bslh longname: Bare soil latent heat units: Ws m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300177 shortname: evpp longname: Potential sfc evaporation units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300178 shortname: rnof longname: Runoff units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300179 shortname: pitp longname: Interception loss units: W m**-2 description: null access_ids: [] origin_ids: - 34 - 46 table: 300 mars_request_context: [] - id: 300180 shortname: vpca longname: Vapor pressure of canopy air space units: mb description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300181 shortname: qsfc longname: Surface spec humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300182 shortname: ussl longname: Soil wetness of surface units: (0 - 1) description: null access_ids: [] origin_ids: - 34 - 46 table: 300 mars_request_context: [] - id: 300183 shortname: uzrs longname: Soil wetness of root zone units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300184 shortname: uzds longname: Soil wetness of drainage zone units: (0 - 1) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300185 shortname: amdl longname: Storage on canopy units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300186 shortname: amsl longname: Storage on ground units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300187 shortname: tsfc longname: Surface temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300188 shortname: tems longname: Surface absolute temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300189 shortname: tcas longname: Temperature of canopy air space units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300190 shortname: ctmp longname: Temperature at canopy units: K description: null access_ids: [] origin_ids: - 34 - 46 table: 300 mars_request_context: [] - id: 300191 shortname: tgsc longname: Ground/surface cover temperature units: K description: null access_ids: [] origin_ids: - 34 - 46 table: 300 mars_request_context: [] - id: 300192 shortname: uves longname: Surface zonal wind (u) units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300193 shortname: usst longname: Surface zonal wind stress units: Pa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300194 shortname: vves longname: Surface meridional wind (v) units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300195 shortname: vsst longname: Surface meridional wind stress units: Pa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300196 shortname: suvf longname: Surface momentum flux units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300197 shortname: iswf longname: Incident short wave flux units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300198 shortname: ghfl longname: Time ave ground ht flx units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300200 shortname: lwbc longname: Net long wave at bottom (clear) units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300201 shortname: lwtc longname: Outgoing long wave at top (clear) units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300202 shortname: swec longname: Short wv absrbd by earth/atmos (clear) units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300203 shortname: ocac longname: Short wave absorbed at ground (clear) units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300205 shortname: lwrh longname: Long wave radiative heating units: K s**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300206 shortname: swrh longname: Short wave radiative heating units: K s**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300207 shortname: olis longname: Downward long wave at bottom units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300208 shortname: olic longname: Downward long wave at bottom (clear) units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300209 shortname: ocis longname: Downward short wave at ground units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300210 shortname: ocic longname: Downward short wave at ground (clear) units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300211 shortname: oles longname: Upward long wave at bottom units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300212 shortname: oces longname: Upward short wave at ground units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300213 shortname: swgc longname: Upward short wave at ground (clear) units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300214 shortname: roce longname: Upward short wave at top units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300215 shortname: swtc longname: Upward short wave at top (clear) units: W m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300218 shortname: hhdf longname: Horizontal heating diffusion units: K s**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300219 shortname: hmdf longname: Horizontal moisture diffusion units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300220 shortname: hddf longname: Horizontal divergence diffusion units: s**-12 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300221 shortname: hvdf longname: Horizontal vorticity diffusion units: s**-12 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300222 shortname: vdms longname: Vertical diff. moisture source units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300223 shortname: vdfu longname: Vertical diffusion du/dt units: m s**-12 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300224 shortname: vdfv longname: Vertical diffusion dv/dt units: m s**-12 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300225 shortname: vdfh longname: Vertical diffusion heating units: K s**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300226 shortname: umrs longname: Surface relative humidity units: '~' description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300227 shortname: vdcc longname: Vertical dist total cloud cover units: '~' description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300230 shortname: usmt longname: Time mean surface zonal wind (u) units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300231 shortname: vsmt longname: Time mean surface meridional wind (v) units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300232 shortname: tsmt longname: Time mean surface absolute temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300233 shortname: rsmt longname: Time mean surface relative humidity units: '~' description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300234 shortname: atmt longname: Time mean absolute temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300235 shortname: stmt longname: Time mean deep soil temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300236 shortname: ommt longname: Time mean derived omega units: Pa s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300237 shortname: dvmt longname: Time mean divergence units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300238 shortname: zhmt longname: Time mean geopotential height units: m description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300239 shortname: lnmt longname: Time mean log surface pressure units: ln(cbar) description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300240 shortname: mkmt longname: Time mean mask units: -/+ description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300241 shortname: vvmt longname: Time mean meridional wind (v) units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300242 shortname: omtm longname: Time mean omega units: cbar s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300243 shortname: ptmt longname: Time mean potential temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300244 shortname: pcmt longname: Time mean precip. water units: kg m**-2 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300245 shortname: rhmt longname: Time mean relative humidity units: '%' description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300246 shortname: mpmt longname: Time mean sea level pressure units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300247 shortname: simt longname: Time mean sigmadot units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300248 shortname: uemt longname: Time mean specific humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300249 shortname: fcmt longname: Time mean stream function units: m**2 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300250 shortname: psmt longname: Time mean surface pressure units: hPa description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300251 shortname: tmmt longname: Time mean surface temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300252 shortname: pvmt longname: Time mean velocity potential units: m**2 s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300253 shortname: tvmt longname: Time mean virtual temperature units: K description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300254 shortname: vtmt longname: Time mean vorticity units: s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 300255 shortname: uvmt longname: Time mean zonal wind (u) units: m s**-1 description: null access_ids: [] origin_ids: - 46 table: 300 mars_request_context: [] - id: 400000 shortname: mdens longname: Mass density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 400 mars_request_context: [] - id: 400001 shortname: avg_mdens longname: Time-mean mass density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 400 mars_request_context: [] - id: 400003 shortname: max_mdens longname: Time-maximum mass density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 400 mars_request_context: [] - id: 400004 shortname: min_mdens longname: Time-minimum mass density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 400 mars_request_context: [] - id: 400005 shortname: std_mdens longname: Time-standard-deviation mass density units: kg m**-3 description: null access_ids: [] origin_ids: - 0 table: 400 mars_request_context: [] - id: 401000 shortname: tcvimd longname: Total column vertically-integrated mass density units: kg m**-2 description: '' access_ids: [] origin_ids: - 0 table: 401 mars_request_context: [] - id: 401001 shortname: avg_tcvimd longname: Time-mean total column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 401 mars_request_context: [] - id: 401003 shortname: max_tcvimd longname: Time-maximum total column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 401 mars_request_context: [] - id: 401004 shortname: min_tcvimd longname: Time-minimum total column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 401 mars_request_context: [] - id: 401005 shortname: std_tcvimd longname: Time-standard-deviation total column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 401 mars_request_context: [] - id: 402000 shortname: mass_mixrat longname: Mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 402 mars_request_context: [] - id: 402001 shortname: avg_mass_mixrat longname: Time-mean mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 402 mars_request_context: [] - id: 402003 shortname: max_mass_mixrat longname: Time-maximum mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 402 mars_request_context: [] - id: 402004 shortname: min_mass_mixrat longname: Time-minimum mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 402 mars_request_context: [] - id: 402005 shortname: std_mass_mixrat longname: Time-standard-deviation mass mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 402 mars_request_context: [] - id: 403000 shortname: emi_mflx longname: Emission mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 403 mars_request_context: [] - id: 403001 shortname: avg_emi_mflx longname: Time-mean emission mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 403 mars_request_context: [] - id: 403003 shortname: max_emi_mflx longname: Time-maximum emission mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 403 mars_request_context: [] - id: 403004 shortname: min_emi_mflx longname: Time-minimum emission mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 403 mars_request_context: [] - id: 403005 shortname: std_emi_mflx longname: Time-standard-deviation emission mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 403 mars_request_context: [] - id: 404000 shortname: drydep_vel longname: Dry deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 404 mars_request_context: [] - id: 404001 shortname: avg_drydep_vel longname: Time-mean dry deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 404 mars_request_context: [] - id: 404003 shortname: max_drydep_vel longname: Time-maximum dry deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 404 mars_request_context: [] - id: 404004 shortname: min_drydep_vel longname: Time-minimum dry deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 404 mars_request_context: [] - id: 404005 shortname: std_drydep_vel longname: Time-standard-deviation dry deposition velocity units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 404 mars_request_context: [] - id: 405000 shortname: wetdep_mflx longname: Wet deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 405 mars_request_context: [] - id: 405001 shortname: avg_wetdep_mflx longname: Time-mean wet deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 405 mars_request_context: [] - id: 405003 shortname: max_wetdep_mflx longname: Time-maximum wet deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 405 mars_request_context: [] - id: 405004 shortname: min_wetdep_mflx longname: Time-minimum wet deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 405 mars_request_context: [] - id: 405005 shortname: std_wetdep_mflx longname: Time-standard-deviation wet deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 405 mars_request_context: [] - id: 406000 shortname: drydep_mflx longname: Dry deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 406 mars_request_context: [] - id: 406001 shortname: avg_drydep_mflx longname: Time-mean dry deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 406 mars_request_context: [] - id: 406003 shortname: max_drydep_mflx longname: Time-maximum dry deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 406 mars_request_context: [] - id: 406004 shortname: min_drydep_mflx longname: Time-minimum dry deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 406 mars_request_context: [] - id: 406005 shortname: std_drydep_mflx longname: Time-standard-deviation dry deposition mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 406 mars_request_context: [] - id: 407000 shortname: sed_mflx longname: Sedimentation mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 407 mars_request_context: [] - id: 407001 shortname: avg_sed_mflx longname: Time-mean sedimentation mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 407 mars_request_context: [] - id: 407003 shortname: max_sed_mflx longname: Time-maximum sedimentation mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 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0 table: 428 mars_request_context: [] - id: 428005 shortname: std_emi_mflx_wastes longname: Time-standard-deviation emission mass flux from wastes (solid and water) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 428 mars_request_context: [] - id: 429000 shortname: emi_mflx_offrdtrans longname: Emission mass flux from off-road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 429 mars_request_context: [] - id: 429001 shortname: avg_emi_mflx_offrdtrans longname: Time-mean emission mass flux from off-road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 429 mars_request_context: [] - id: 429003 shortname: max_emi_mflx_offrdtrans longname: Time-maximum emission mass flux from off-road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 429 mars_request_context: [] - id: 429004 shortname: min_emi_mflx_offrdtrans longname: Time-minimum emission mass flux from off-road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 429 mars_request_context: [] - id: 429005 shortname: std_emi_mflx_offrdtrans longname: Time-standard-deviation emission mass flux from off-road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 429 mars_request_context: [] - id: 430000 shortname: emi_mflx_rdtrans longname: Emission mass flux from road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 430 mars_request_context: [] - id: 430001 shortname: avg_emi_mflx_rdtrans longname: Time-mean emission mass flux from road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 430 mars_request_context: [] - id: 430003 shortname: max_emi_mflx_rdtrans longname: Time-maximum emission mass flux from road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 430 mars_request_context: [] - id: 430004 shortname: min_emi_mflx_rdtrans longname: Time-minimum emission mass flux from road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 430 mars_request_context: [] - id: 430005 shortname: std_emi_mflx_rdtrans longname: Time-standard-deviation emission mass flux from road transportation units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 430 mars_request_context: [] - id: 431000 shortname: emi_mflx_suppowstn longname: Emission mass flux from super power stations units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 431 mars_request_context: [] - id: 431001 shortname: avg_emi_mflx_suppowstn longname: Time-mean emission mass flux from super power stations units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 431 mars_request_context: [] - id: 431003 shortname: max_emi_mflx_suppowstn longname: Time-maximum emission mass flux from super power stations units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 431 mars_request_context: [] - id: 431004 shortname: min_emi_mflx_suppowstn longname: Time-minimum emission mass flux from super power stations units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 431 mars_request_context: [] - id: 431005 shortname: std_emi_mflx_suppowstn longname: Time-standard-deviation emission mass flux from super power stations units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 431 mars_request_context: [] - id: 432000 shortname: emi_mflx_settl longname: Emission mass flux from settlements units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 432 mars_request_context: [] - id: 432001 shortname: avg_emi_mflx_settl longname: Time-mean emission mass flux from settlements units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 432 mars_request_context: [] - id: 432003 shortname: max_emi_mflx_settl longname: Time-maximum emission mass flux from settlements units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 432 mars_request_context: [] - id: 432004 shortname: min_emi_mflx_settl longname: Time-minimum emission mass flux from settlements units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 432 mars_request_context: [] - id: 432005 shortname: std_emi_mflx_settl longname: Time-standard-deviation emission mass flux from settlements units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 432 mars_request_context: [] - id: 433000 shortname: emi_mflx_vol longname: Emission mass flux from volcanoes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 433 mars_request_context: [] - id: 433001 shortname: avg_emi_mflx_vol longname: Time-mean emission mass flux from volcanoes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 433 mars_request_context: [] - id: 433003 shortname: max_emi_mflx_vol longname: Time-maximum emission mass flux from volcanoes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 433 mars_request_context: [] - id: 433004 shortname: min_emi_mflx_vol longname: Time-minimum emission mass flux from volcanoes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 433 mars_request_context: [] - id: 433005 shortname: std_emi_mflx_vol longname: Time-standard-deviation emission mass flux from volcanoes units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 433 mars_request_context: [] - id: 434000 shortname: emi_mflx_wetl longname: Emission mass flux from wetlands units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 434 mars_request_context: [] - id: 434001 shortname: avg_emi_mflx_wetl longname: Time-mean emission mass flux from wetlands units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 434 mars_request_context: [] - id: 434003 shortname: max_emi_mflx_wetl longname: Time-maximum emission mass flux from wetlands units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 434 mars_request_context: [] - id: 434004 shortname: min_emi_mflx_wetl longname: Time-minimum emission mass flux from wetlands units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 434 mars_request_context: [] - id: 434005 shortname: std_emi_mflx_wetl longname: Time-standard-deviation emission mass flux from wetlands units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 434 mars_request_context: [] - id: 435000 shortname: neef longname: Net ecosystem exchange flux units: kg m**-2 s**-1 description: 'This parameter can be used with templates for chemical constituents to specify a chemical species if needed, for example: Net ecosystem CO2 exchange flux or Net ecosystem CH4 exchange flux.' access_ids: [] origin_ids: - 0 table: 435 mars_request_context: [] - id: 435001 shortname: mneef longname: Mean net ecosystem exchange flux units: kg m**-2 s**-1 description: 'This parameter can be used with templates for chemical constituents to specify a chemical species if needed, for example: Mean net ecosystem CO2 exchange flux or Mean net ecosystem CH4 exchange flux.' access_ids: [] origin_ids: - 0 table: 435 mars_request_context: [] - id: 435002 shortname: aneef longname: Accumulated net ecosystem exchange flux units: kg m**-2 description: 'This parameter can be used with templates for chemical constituents to specify a chemical species if needed, for example: Accumulated net ecosystem CO2 exchange flux or Accumulated net ecosystem CH4 exchange flux.' access_ids: [] origin_ids: - 0 table: 435 mars_request_context: [] - id: 435003 shortname: max_neef longname: Time-maximum net ecosystem exchange flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 435 mars_request_context: [] - id: 435004 shortname: min_neef longname: Time-minimum net ecosystem exchange flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 435 mars_request_context: [] - id: 435005 shortname: std_neef longname: Time-standard-deviation net ecosystem exchange flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 435 mars_request_context: [] - id: 436000 shortname: gppf longname: Gross primary production flux units: kg m**-2 s**-1 description: 'This parameter can be used with templates for chemical constituents to specify a chemical species if needed, for example: Gross primary CO2 production flux or Gross primary CH4 production flux.' access_ids: [] origin_ids: - 0 table: 436 mars_request_context: [] - id: 436001 shortname: mgppf longname: Mean gross primary production flux units: kg m**-2 s**-1 description: 'This parameter can be used with templates for chemical constituents to specify a chemical species if needed, for example: Mean gross primary CO2 production flux or Mean gross primary CH4 production flux.' access_ids: [] origin_ids: - 0 table: 436 mars_request_context: [] - id: 436002 shortname: agppf longname: Accumulated gross primary production flux units: kg m**-2 description: 'This parameter can be used with templates for chemical constituents to specify a chemical species if needed, for example: Accumulated gross primary CO2 production flux or Accumulated gross primary CH4 production flux.' access_ids: [] origin_ids: - 0 table: 436 mars_request_context: [] - id: 436003 shortname: max_gppf longname: Time-maximum gross primary production flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 436 mars_request_context: [] - id: 436004 shortname: min_gppf longname: Time-minimum gross primary production flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 436 mars_request_context: [] - id: 436005 shortname: std_gppf longname: Time-standard-deviation gross primary production flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 436 mars_request_context: [] - id: 437000 shortname: erf longname: Ecosystem respiration flux units: kg m**-2 s**-1 description: 'This parameter can be used with templates for chemical constituents to specify a chemical species if needed, for example: Ecosystem CO2 respiration flux or Ecosystem CH4 respiration flux.' access_ids: [] origin_ids: - 0 table: 437 mars_request_context: [] - id: 437001 shortname: merf longname: Mean ecosystem respiration flux units: kg m**-2 s**-1 description: 'This parameter can be used with templates for chemical constituents to specify a chemical species if needed, for example: Mean ecosystem CO2 respiration flux or Mean ecosystem CH4 respiration flux.' access_ids: [] origin_ids: - 0 table: 437 mars_request_context: [] - id: 437002 shortname: aerf longname: Accumulated ecosystem respiration flux units: kg m**-2 description: 'This parameter can be used with templates for chemical constituents to specify a chemical species if needed, for example: Accumulated ecosystem CO2 respiration flux or Accumulated ecosystem CH4 respiration flux.' access_ids: [] origin_ids: - 0 table: 437 mars_request_context: [] - id: 437003 shortname: max_erf longname: Time-maximum ecosystem respiration flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 437 mars_request_context: [] - id: 437004 shortname: min_erf longname: Time-minimum ecosystem respiration flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 437 mars_request_context: [] - id: 437005 shortname: std_erf longname: Time-standard-deviation ecosystem respiration flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 437 mars_request_context: [] - id: 438000 shortname: emi_mflx_biofuel longname: Emission mass flux from bio fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 438 mars_request_context: [] - id: 438001 shortname: avg_emi_mflx_biofuel longname: Time-mean emission mass flux from bio fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 438 mars_request_context: [] - id: 438003 shortname: max_emi_mflx_biofuel longname: Time-maximum emission mass flux from bio fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 438 mars_request_context: [] - id: 438004 shortname: min_emi_mflx_biofuel longname: Time-minimum emission mass flux from bio fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 438 mars_request_context: [] - id: 438005 shortname: std_emi_mflx_biofuel longname: Time-standard-deviation emission mass flux from bio fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 438 mars_request_context: [] - id: 439000 shortname: emi_mflx_fossilfuel longname: Emission mass flux from fossil fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 439 mars_request_context: [] - id: 439001 shortname: avg_emi_mflx_fossilfuel longname: Time-mean emission mass flux from fossil fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 439 mars_request_context: [] - id: 439003 shortname: max_emi_mflx_fossilfuel longname: Time-maximum emission mass flux from fossil fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 439 mars_request_context: [] - id: 439004 shortname: min_emi_mflx_fossilfuel longname: Time-minimum emission mass flux from fossil fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 439 mars_request_context: [] - id: 439005 shortname: std_emi_mflx_fossilfuel longname: Time-standard-deviation emission mass flux from fossil fuel units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 439 mars_request_context: [] - id: 440000 shortname: emi_mflx_other longname: Emission mass flux from other units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 440 mars_request_context: [] - id: 440001 shortname: avg_emi_mflx_other longname: Time-mean emission mass flux from other units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 440 mars_request_context: [] - id: 440003 shortname: max_emi_mflx_other longname: Time-maximum emission mass flux from other units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 440 mars_request_context: [] - id: 440004 shortname: min_emi_mflx_other longname: Time-minimum emission mass flux from other units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 440 mars_request_context: [] - id: 440005 shortname: std_emi_mflx_other longname: Time-standard-deviation emission mass flux from other units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 440 mars_request_context: [] - id: 441000 shortname: emi_mflx_ocean longname: Emission mass flux from oceans units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 441 mars_request_context: [] - id: 441001 shortname: avg_emi_mflx_ocean longname: Time-mean emission mass flux from oceans units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 441 mars_request_context: [] - id: 441003 shortname: max_emi_mflx_ocean longname: Time-maximum emission mass flux from oceans units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 441 mars_request_context: [] - id: 441004 shortname: min_emi_mflx_ocean longname: Time-minimum emission mass flux from oceans units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 441 mars_request_context: [] - id: 441005 shortname: std_emi_mflx_ocean longname: Time-standard-deviation emission mass flux from oceans units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 441 mars_request_context: [] - id: 442000 shortname: emi_mflx_soil longname: Emission mass flux from soil units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 442 mars_request_context: [] - id: 442001 shortname: avg_emi_mflx_soil longname: Time-mean emission mass flux from soil units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 442 mars_request_context: [] - id: 442003 shortname: max_emi_mflx_soil longname: Time-maximum emission mass flux from soil units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 442 mars_request_context: [] - id: 442004 shortname: min_emi_mflx_soil longname: Time-minimum emission mass flux from soil units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 442 mars_request_context: [] - id: 442005 shortname: std_emi_mflx_soil longname: Time-standard-deviation emission mass flux from soil units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 442 mars_request_context: [] - id: 443000 shortname: emi_mflx_wildanim longname: Emission mass flux from wild animals units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 443 mars_request_context: [] - id: 443001 shortname: avg_emi_mflx_wildanim longname: Time-mean emission mass flux from wild animals units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 443 mars_request_context: [] - id: 443003 shortname: max_emi_mflx_wildanim longname: Time-maximum emission mass flux from wild animals units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 443 mars_request_context: [] - id: 443004 shortname: min_emi_mflx_wildanim longname: Time-minimum emission mass flux from wild animals units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 443 mars_request_context: [] - id: 443005 shortname: std_emi_mflx_wildanim longname: Time-standard-deviation emission mass flux from wild animals units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 443 mars_request_context: [] - id: 444000 shortname: acc_wetdep_mflx longname: Accumulated wet deposition mass flux units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 444 mars_request_context: [] - id: 445000 shortname: acc_drydep_mflx longname: Accumulated dry deposition mass flux units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 445 mars_request_context: [] - id: 450000 shortname: aer_ndens longname: Aerosol number density units: m**-3 description: null access_ids: [] origin_ids: - 0 table: 450 mars_request_context: [] - id: 450001 shortname: avg_aer_ndens longname: Time-mean aerosol number density units: m**-3 description: null access_ids: [] origin_ids: - 0 table: 450 mars_request_context: [] - id: 450003 shortname: max_aer_ndens longname: Time-maximum aerosol number density units: m**-3 description: null access_ids: [] origin_ids: - 0 table: 450 mars_request_context: [] - id: 450004 shortname: min_aer_ndens longname: Time-minimum aerosol number density units: m**-3 description: null access_ids: [] origin_ids: - 0 table: 450 mars_request_context: [] - id: 450005 shortname: std_aer_ndens longname: Time-standard-deviation aerosol number density units: m**-3 description: null access_ids: [] origin_ids: - 0 table: 450 mars_request_context: [] - id: 451000 shortname: aer_negfix_mflx longname: Aerosol negative fixer mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 451 mars_request_context: [] - id: 451001 shortname: avg_aer_negfix_mflx longname: Time-mean aerosol negative fixer mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 451 mars_request_context: [] - id: 451003 shortname: max_aer_negfix_mflx longname: Time-maximum aerosol negative fixer mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 451 mars_request_context: [] - id: 451004 shortname: min_aer_negfix_mflx longname: Time-minimum aerosol negative fixer mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 451 mars_request_context: [] - id: 451005 shortname: std_aer_negfix_mflx longname: Time-standard-deviation aerosol negative fixer mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 451 mars_request_context: [] - id: 452000 shortname: aer_sink_mflx longname: Aerosol sink/loss mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 452 mars_request_context: [] - id: 452001 shortname: avg_aer_sink_mflx longname: Time-mean aerosol sink/loss mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 452 mars_request_context: [] - id: 452003 shortname: max_aer_sink_mflx longname: Time-maximum aerosol sink/loss mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 452 mars_request_context: [] - id: 452004 shortname: min_aer_sink_mflx longname: Time-minimum aerosol sink/loss mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 452 mars_request_context: [] - id: 452005 shortname: std_aer_sink_mflx longname: Time-standard-deviation aerosol sink/loss mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 452 mars_request_context: [] - id: 453000 shortname: aer_src_mflx longname: Aerosol source/gain mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 453 mars_request_context: [] - id: 453001 shortname: avg_aer_src_mflx longname: Time-mean aerosol source/gain mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 453 mars_request_context: [] - id: 453003 shortname: max_aer_src_mflx longname: Time-maximum aerosol source/gain mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 453 mars_request_context: [] - id: 453004 shortname: min_aer_src_mflx longname: Time-minimum aerosol source/gain mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 453 mars_request_context: [] - id: 453005 shortname: std_aer_src_mflx longname: Time-standard-deviation aerosol source/gain mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 98 table: 453 mars_request_context: [] - id: 454000 shortname: mass_mixrat_vol longname: Mass mixing ratio from volcanoes units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 454 mars_request_context: [] - id: 454001 shortname: avg_mass_mixrat_vol longname: Time-mean mass mixing ratio from volcanoes units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 454 mars_request_context: [] - id: 454003 shortname: max_mass_mixrat_vol longname: Time-maximum mass mixing ratio from volcanoes units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 454 mars_request_context: [] - id: 454004 shortname: min_mass_mixrat_vol longname: Time-minimum mass mixing ratio from volcanoes units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 454 mars_request_context: [] - id: 454005 shortname: std_mass_mixrat_vol longname: Time-standard-deviation mass mixing ratio from volcanoes units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 454 mars_request_context: [] - id: 455000 shortname: tc_mdens_vol longname: Total column vertically-integrated mass density from volcanoes units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 455 mars_request_context: [] - id: 455001 shortname: avg_tc_mdens_vol longname: Time-mean total column vertically-integrated mass density from volcanoes units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 455 mars_request_context: [] - id: 455003 shortname: max_tc_mdens_vol longname: Time-maximum total column vertically-integrated mass density from volcanoes units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 455 mars_request_context: [] - id: 455004 shortname: min_tc_mdens_vol longname: Time-minimum total column vertically-integrated mass density from volcanoes units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 455 mars_request_context: [] - id: 455005 shortname: std_tc_mdens_vol longname: Time-standard-deviation total column vertically-integrated mass density from volcanoes units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 455 mars_request_context: [] - id: 456000 shortname: drydep_vel_vol longname: Dry deposition velocity from volcanoes units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 456 mars_request_context: [] - id: 456001 shortname: avg_drydep_vel_vol longname: Time-mean dry deposition velocity from volcanoes units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 456 mars_request_context: [] - id: 456003 shortname: max_drydep_vel_vol longname: Time-maximum dry deposition velocity from volcanoes units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 456 mars_request_context: [] - id: 456004 shortname: min_drydep_vel_vol longname: Time-minimum dry deposition velocity from volcanoes units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 456 mars_request_context: [] - id: 456005 shortname: std_drydep_vel_vol longname: Time-standard-deviation dry deposition velocity from volcanoes units: m s**-1 description: null access_ids: [] origin_ids: - 0 table: 456 mars_request_context: [] - id: 457000 shortname: aod longname: Aerosol optical depth units: Numeric description: null access_ids: [] origin_ids: - 0 table: 457 mars_request_context: [] - id: 457001 shortname: avg_aod longname: Time-mean aerosol optical depth units: Numeric description: null access_ids: [] origin_ids: - 0 table: 457 mars_request_context: [] - id: 457003 shortname: max_aod longname: Time-maximum aerosol optical depth units: Numeric description: null access_ids: [] origin_ids: - 0 table: 457 mars_request_context: [] - id: 457004 shortname: min_aod longname: Time-minimum aerosol optical depth units: Numeric description: null access_ids: [] origin_ids: - 0 table: 457 mars_request_context: [] - id: 457005 shortname: std_aod longname: Time-standard-deviation aerosol optical depth units: Numeric description: null access_ids: [] origin_ids: - 0 table: 457 mars_request_context: [] - id: 458000 shortname: ssa longname: Single scattering albedo units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 458 mars_request_context: [] - id: 458001 shortname: avg_ssa longname: Time-mean single scattering albedo units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 458 mars_request_context: [] - id: 458003 shortname: max_ssa longname: Time-maximum single scattering albedo units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 458 mars_request_context: [] - id: 458004 shortname: min_ssa longname: Time-minimum single scattering albedo units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 458 mars_request_context: [] - id: 458005 shortname: std_ssa longname: Time-standard-deviation single scattering albedo units: (0 - 1) description: null access_ids: [] origin_ids: - 0 table: 458 mars_request_context: [] - id: 459000 shortname: asymf longname: Asymmetry Factor units: Numeric description: null access_ids: [] origin_ids: - 0 table: 459 mars_request_context: [] - id: 459001 shortname: avg_asymf longname: Time-mean asymmetry Factor units: Numeric description: null access_ids: [] origin_ids: - 0 table: 459 mars_request_context: [] - id: 459003 shortname: max_asymf longname: Time-maximum asymmetry Factor units: Numeric description: null access_ids: [] origin_ids: - 0 table: 459 mars_request_context: [] - id: 459004 shortname: min_asymf longname: Time-minimum asymmetry Factor units: Numeric description: null access_ids: [] origin_ids: - 0 table: 459 mars_request_context: [] - id: 459005 shortname: std_asymf longname: Time-standard-deviation asymmetry Factor units: Numeric description: null access_ids: [] origin_ids: - 0 table: 459 mars_request_context: [] - id: 460000 shortname: aerbscattoa longname: Attenuated aerosol backscatter from top of atmosphere units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 460 mars_request_context: [] - id: 460001 shortname: avg_aerbscattoa longname: Time-mean attenuated aerosol backscatter from top of atmosphere units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 460 mars_request_context: [] - id: 460003 shortname: max_aerbscattoa longname: Time-maximum attenuated aerosol backscatter from top of atmosphere units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 460 mars_request_context: [] - id: 460004 shortname: min_aerbscattoa longname: Time-minimum attenuated aerosol backscatter from top of atmosphere units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 460 mars_request_context: [] - id: 460005 shortname: std_aerbscattoa longname: Time-standard-deviation attenuated aerosol backscatter from top of atmosphere units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 460 mars_request_context: [] - id: 461000 shortname: aerbscatgnd longname: Attenuated aerosol backscatter from ground units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 461 mars_request_context: [] - id: 461001 shortname: avg_aerbscatgnd longname: Time-mean attenuated aerosol backscatter from ground units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 461 mars_request_context: [] - id: 461003 shortname: max_aerbscatgnd longname: Time-maximum attenuated aerosol backscatter from ground units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 461 mars_request_context: [] - id: 461004 shortname: min_aerbscatgnd longname: Time-minimum attenuated aerosol backscatter from ground units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 461 mars_request_context: [] - id: 461005 shortname: std_aerbscatgnd longname: Time-standard-deviation attenuated aerosol backscatter from ground units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 461 mars_request_context: [] - id: 462000 shortname: aerext longname: Aerosol extinction coefficient units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 462 mars_request_context: [] - id: 462001 shortname: avg_aerext longname: Time-mean aerosol extinction coefficient units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 462 mars_request_context: [] - id: 462003 shortname: max_aerext longname: Time-maximum aerosol extinction coefficient units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 462 mars_request_context: [] - id: 462004 shortname: min_aerext longname: Time-minimum aerosol extinction coefficient units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 462 mars_request_context: [] - id: 462005 shortname: std_aerext longname: Time-standard-deviation aerosol extinction coefficient units: m**-1 description: null access_ids: [] origin_ids: - 0 table: 462 mars_request_context: [] - id: 463000 shortname: emi_mflx_cbh longname: Emission mass flux from commercial buildings heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 463 mars_request_context: [] - id: 463001 shortname: avg_emi_mflx_cbh longname: Time-mean emission mass flux from commercial buildings heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 463 mars_request_context: [] - id: 463003 shortname: max_emi_mflx_cbh longname: Time-maximum emission mass flux from commercial buildings heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 463 mars_request_context: [] - id: 463004 shortname: min_emi_mflx_cbh longname: Time-minimum emission mass flux from commercial buildings heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 463 mars_request_context: [] - id: 463005 shortname: std_emi_mflx_cbh longname: Time-standard-deviation emission mass flux from commercial buildings heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 463 mars_request_context: [] - id: 464000 shortname: emi_mflx_rh longname: Emission mass flux from residential heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 464 mars_request_context: [] - id: 464001 shortname: avg_emi_mflx_rh longname: Time-mean emission mass flux from residential heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 464 mars_request_context: [] - id: 464003 shortname: max_emi_mflx_rh longname: Time-maximum emission mass flux from residential heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 464 mars_request_context: [] - id: 464004 shortname: min_emi_mflx_rh longname: Time-minimum emission mass flux from residential heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 464 mars_request_context: [] - id: 464005 shortname: std_emi_mflx_rh longname: Time-standard-deviation emission mass flux from residential heating units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 464 mars_request_context: [] - id: 465000 shortname: emi_mflx_oti longname: Emission mass flux from oil refineries and transformation industry units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 465 mars_request_context: [] - id: 465001 shortname: avg_emi_mflx_oti longname: Time-mean emission mass flux from oil refineries and transformation industry units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 465 mars_request_context: [] - id: 465003 shortname: max_emi_mflx_oti longname: Time-maximum emission mass flux from oil refineries and transformation industry units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 465 mars_request_context: [] - id: 465004 shortname: min_emi_mflx_oti longname: Time-minimum emission mass flux from oil refineries and transformation industry units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 465 mars_request_context: [] - id: 465005 shortname: std_emi_mflx_oti longname: Time-standard-deviation emission mass flux from oil refineries and transformation industry units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 465 mars_request_context: [] - id: 466000 shortname: emi_mflx_gp longname: Emission mass flux from gas production units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 - 98 table: 466 mars_request_context: [] - id: 466001 shortname: avg_emi_mflx_gp longname: Time-mean emission mass flux from gas production units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 466 mars_request_context: [] - id: 466003 shortname: max_emi_mflx_gp longname: Time-maximum emission mass flux from gas production units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 466 mars_request_context: [] - id: 466004 shortname: min_emi_mflx_gp longname: Time-minimum emission mass flux from gas production units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 466 mars_request_context: [] - id: 466005 shortname: std_emi_mflx_gp longname: Time-standard-deviation emission mass flux from gas production units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 466 mars_request_context: [] - id: 467000 shortname: mass_mixrat_diff longname: Mass mixing ratio difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 467 mars_request_context: [] - id: 467001 shortname: avg_mass_mixrat_diff longname: Time-mean mass mixing ratio difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 467 mars_request_context: [] - id: 467003 shortname: max_mass_mixrat_diff longname: Time-maximum mass mixing ratio difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 467 mars_request_context: [] - id: 467004 shortname: min_mass_mixrat_diff longname: Time-minimum mass mixing ratio difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 467 mars_request_context: [] - id: 467005 shortname: std_mass_mixrat_diff longname: Time-standard-deviation mass mixing ratio difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 467 mars_request_context: [] - id: 468000 shortname: mass_mixrat_vol_diff longname: Mass mixing ratio from volcanoes difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 468 mars_request_context: [] - id: 468001 shortname: avg_mass_mixrat_vol_diff longname: Time-mean mass mixing ratio from volcanoes difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 468 mars_request_context: [] - id: 468003 shortname: max_mass_mixrat_vol_diff longname: Time-maximum mass mixing ratio from volcanoes difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 468 mars_request_context: [] - id: 468004 shortname: min_mass_mixrat_vol_diff longname: Time-minimum mass mixing ratio from volcanoes difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 468 mars_request_context: [] - id: 468005 shortname: std_mass_mixrat_vol_diff longname: Time-standard-deviation mass mixing ratio from volcanoes difference units: kg kg**-1 description: null access_ids: [] origin_ids: - 0 table: 468 mars_request_context: [] - id: 469000 shortname: emi_mflx_wfire longname: Emission mass flux from wild fires units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 469 mars_request_context: [] - id: 469001 shortname: avg_emi_mflx_wfire longname: Time-mean emission mass flux from wild fires units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 469 mars_request_context: [] - id: 469003 shortname: max_emi_mflx_wfire longname: Time-maximum emission mass flux from wild fires units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 469 mars_request_context: [] - id: 469004 shortname: min_emi_mflx_wfire longname: Time-minimum emission mass flux from wild fires units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 469 mars_request_context: [] - id: 469005 shortname: std_emi_mflx_wfire longname: Time-standard-deviation emission mass flux from wild fires units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 469 mars_request_context: [] - id: 470000 shortname: snkmf longname: Sink mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 470 mars_request_context: [] - id: 470001 shortname: avg_snkmf longname: Time-mean sink mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 470 mars_request_context: [] - id: 470003 shortname: max_snkmf longname: Time-maximum sink mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 470 mars_request_context: [] - id: 470004 shortname: min_snkmf longname: Time-minimum sink mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 470 mars_request_context: [] - id: 470005 shortname: std_snkmf longname: Time-standard-deviation sink mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 470 mars_request_context: [] - id: 471000 shortname: srcmf longname: Source mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 471 mars_request_context: [] - id: 471001 shortname: avg_srcmf longname: Time-mean source mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 471 mars_request_context: [] - id: 471003 shortname: max_srcmf longname: Time-maximum source mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 471 mars_request_context: [] - id: 471004 shortname: min_srcmf longname: Time-minimum source mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 471 mars_request_context: [] - id: 471005 shortname: std_srcmf longname: Time-standard-deviation source mass flux units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 471 mars_request_context: [] - id: 472000 shortname: absaod longname: Absorption aerosol optical thickness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 472 mars_request_context: [] - id: 472001 shortname: avg_absaod longname: Time-mean absorption aerosol optical thickness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 472 mars_request_context: [] - id: 472003 shortname: max_absaod longname: Time-maximum absorption aerosol optical thickness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 472 mars_request_context: [] - id: 472004 shortname: min_absaod longname: Time-minimum absorption aerosol optical thickness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 472 mars_request_context: [] - id: 472005 shortname: std_absaod longname: Time-standard-deviation absorption aerosol optical thickness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 472 mars_request_context: [] - id: 473000 shortname: tropvimd longname: Tropospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 473 mars_request_context: [] - id: 473001 shortname: avg_tropvimd longname: Time-mean tropospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 473 mars_request_context: [] - id: 473003 shortname: max_tropvimd longname: Time-maximum tropospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 473 mars_request_context: [] - id: 473004 shortname: min_tropvimd longname: Time-minimum tropospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 473 mars_request_context: [] - id: 473005 shortname: std_tropvimd longname: Time-standard-deviation tropospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 473 mars_request_context: [] - id: 474000 shortname: stratvimd longname: Stratospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 474 mars_request_context: [] - id: 474001 shortname: avg_stratvimd longname: Time-mean stratospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 474 mars_request_context: [] - id: 474003 shortname: max_stratvimd longname: Time-maximum stratospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 474 mars_request_context: [] - id: 474004 shortname: min_stratvimd longname: Time-minimum stratospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 474 mars_request_context: [] - id: 474005 shortname: std_stratvimd longname: Time-standard-deviation stratospheric column vertically-integrated mass density units: kg m**-2 description: null access_ids: [] origin_ids: - 0 table: 474 mars_request_context: [] - id: 475000 shortname: aerbscat longname: Aerosol unattenuated backscatter coefficient units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 475 mars_request_context: [] - id: 475001 shortname: avg_aerbscat longname: Time-mean aerosol unattenuated backscatter coefficient units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 475 mars_request_context: [] - id: 475003 shortname: max_aerbscat longname: Time-maximum aerosol unattenuated backscatter coefficient units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 475 mars_request_context: [] - id: 475004 shortname: min_aerbscat longname: Time-minimum aerosol unattenuated backscatter coefficient units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 475 mars_request_context: [] - id: 475005 shortname: std_aerbscat longname: Time-standard-deviation aerosol unattenuated backscatter coefficient units: m**-1 sr**-1 description: null access_ids: [] origin_ids: - 0 table: 475 mars_request_context: [] - id: 476000 shortname: pH longname: Potential of hydrogen units: dimensionless description: null access_ids: [] origin_ids: - 0 table: 476 mars_request_context: [] - id: 477000 shortname: strataod longname: Stratospheric aerosol optical thickness units: Numeric description: null access_ids: [] origin_ids: - 0 table: 477 mars_request_context: [] - id: 478000 shortname: emi_mflx_lightn longname: Emission mass flux from lightning units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 0 table: 478 mars_request_context: [] - id: 479000 shortname: lsroh longname: Loss rate due to OH units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 0 table: 479 mars_request_context: [] - id: 500000 shortname: ps longname: Pressure (S) (not reduced) units: Pa description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500001 shortname: p longname: Pressure units: Pa description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500002 shortname: pmsl longname: Pressure Reduced to MSL units: Pa description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500003 shortname: dpsdt longname: Pressure Tendency (S) units: Pa s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500004 shortname: fis longname: Geopotential (S) units: m**2 s**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500005 shortname: fif longname: Geopotential (full lev) units: m**2 s**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500006 shortname: fi longname: Geopotential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500007 shortname: hsurf longname: Geometric Height of the earths surface above sea level units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500008 shortname: hhl longname: Geometric Height of the layer limits above sea level(NN) units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500009 shortname: to3 longname: Total Column Integrated Ozone units: Dobson description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500010 shortname: t_g longname: Temperature (G) units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500012 shortname: t_2m_av longname: 2m Temperature (AV) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500013 shortname: t_2m_cl longname: Climat. temperature, 2m Temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500014 shortname: t longname: Temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500015 shortname: tmax_2m longname: Max 2m Temperature (i) units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500016 shortname: tmin_2m longname: Min 2m Temperature (i) units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500017 shortname: td_2m longname: 2m Dew Point Temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500018 shortname: td_2m_av longname: 2m Dew Point Temperature (AV) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500019 shortname: dbz_max longname: Radar spectra (1) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500020 shortname: wvsp1 longname: Wave spectra (1) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500021 shortname: wvsp2 longname: Wave spectra (2) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500022 shortname: wvsp3 longname: Wave spectra (3) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500023 shortname: dd_10m longname: Wind Direction (DD_10M) units: degrees description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500024 shortname: dd longname: Wind Direction (DD) units: degrees description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500025 shortname: sp_10m longname: Wind speed (SP_10M) units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500026 shortname: sp longname: Wind speed (SP) units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500027 shortname: u_10m longname: U component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500028 shortname: u longname: U component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500029 shortname: v_10m longname: V component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500030 shortname: v longname: V component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500031 shortname: omega longname: Vertical Velocity (Pressure) ( omega=dp/dt ) units: Pa s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500032 shortname: w longname: Vertical Velocity (Geometric) (w) units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500033 shortname: qv_s longname: Specific Humidity (S) units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500034 shortname: qv_2m longname: Specific Humidity (2m) units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500035 shortname: qv longname: Specific Humidity units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500036 shortname: relhum_2m longname: 2m Relative Humidity units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500037 shortname: relhum longname: Relative Humidity units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500038 shortname: tqv longname: Total column integrated water vapour units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500039 shortname: aevap_s longname: Evaporation (s) units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500040 shortname: tqi longname: Total Column-Integrated Cloud Ice units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500041 shortname: tot_prec longname: Total Precipitation rate (S) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500042 shortname: prec_gsp longname: Large-Scale Precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500043 shortname: prec_con longname: Convective Precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500044 shortname: w_snow longname: Snow depth water equivalent units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500045 shortname: h_snow longname: Snow Depth units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500046 shortname: clct longname: Total Cloud Cover units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500047 shortname: clc_con longname: Convective Cloud Cover units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500048 shortname: clcl longname: Cloud Cover (800 hPa - Soil) units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500049 shortname: clcm longname: Cloud Cover (400 - 800 hPa) units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500050 shortname: clch longname: Cloud Cover (0 - 400 hPa) units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500051 shortname: tqc longname: Total Column-Integrated Cloud Water units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500052 shortname: snow_con longname: Convective Snowfall rate water equivalent (s) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500053 shortname: snow_gsp longname: Large-Scale snowfall rate water equivalent (s) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500054 shortname: fr_land longname: Land Cover (1=land, 0=sea) units: (0 - 1) description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500055 shortname: z0 longname: Surface Roughness length Surface Roughness units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500056 shortname: alb_rad longname: Albedo (in short-wave) units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500057 shortname: albedo_b longname: Albedo (in short-wave) units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500058 shortname: t_cl longname: Soil Temperature ( 36 cm depth, vv=0h) units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500059 shortname: t_cl_lm longname: Soil Temperature (41 cm depth) units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500060 shortname: t_m longname: Soil Temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500061 shortname: t_s longname: Soil Temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500062 shortname: w_cl longname: Column-integrated Soil Moisture units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500063 shortname: w_g1 longname: Column-integrated Soil Moisture (1) 0 -10 cm units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500064 shortname: w_g2 longname: Column-integrated Soil Moisture (2) 10-100cm units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500065 shortname: plcov longname: Plant cover units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500066 shortname: runoff_g longname: Water Runoff (10-100) units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500067 shortname: runoff_g_lm longname: Water Runoff (10-190) units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500068 shortname: runoff_s longname: Water Runoff (s) units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500069 shortname: fr_ice longname: Sea Ice Cover ( 0= free, 1=cover) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500070 shortname: h_ice longname: sea Ice Thickness units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500071 shortname: swh longname: Significant height of combined wind waves and swell units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500072 shortname: mdww longname: Direction of wind waves units: Degree true description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500073 shortname: shww longname: Significant height of wind waves units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500074 shortname: mpww longname: Mean period of wind waves units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500075 shortname: mdps longname: Direction of swell waves units: Degree true description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500076 shortname: shps longname: Significant height of swell waves units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500077 shortname: mpps longname: Mean period of swell waves units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500078 shortname: asob_s longname: Net short wave radiation flux (m) (at the surface) units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500079 shortname: sobs_rad longname: Net short wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500080 shortname: athb_s longname: Net long wave radiation flux (m) (at the surface) units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500081 shortname: thbs_rad longname: Net long wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500082 shortname: asob_t longname: Net short wave radiation flux (m) (on the model top) units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500083 shortname: sobt_rad longname: Net short wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500084 shortname: athb_t longname: Net long wave radiation flux (m) (on the model top) units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500085 shortname: thbt_rad longname: Net long wave radiation flux units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500086 shortname: alhfl_s longname: Latent Heat Net Flux (m) units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500087 shortname: ashfl_s longname: Sensible Heat Net Flux (m) units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500088 shortname: aumfl_s longname: Momentum Flux, U-Component (m) units: N m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500089 shortname: avmfl_s longname: Momentum Flux, V-Component (m) units: N m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500090 shortname: apab_s longname: Photosynthetically active radiation (m) (at the surface) units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500091 shortname: pabs_rad longname: Photosynthetically active radiation units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500092 shortname: sohr_rad longname: Solar radiation heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500093 shortname: thhr_rad longname: Thermal radiation heating rate units: K s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500094 shortname: alhfl_bs longname: Latent heat flux from bare soil units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500095 shortname: alhfl_pl longname: Latent heat flux from plants units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500096 shortname: dursun longname: Sunshine units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500097 shortname: rstom longname: Stomatal Resistance units: s m**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500098 shortname: clc longname: Cloud cover units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500099 shortname: clc_sgs longname: Non-Convective Cloud Cover, grid scale units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500100 shortname: qc longname: Cloud Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500101 shortname: qi longname: Cloud Ice Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500102 shortname: qr longname: Rain mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500103 shortname: qs longname: Snow mixing ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500104 shortname: tqr longname: Total column integrated rain units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500105 shortname: tqs longname: Total column integrated snow units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500106 shortname: qg longname: Grauple units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500107 shortname: tqg longname: Total column integrated grauple units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500108 shortname: twater longname: Total Column integrated water (all components incl. precipitation) units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500109 shortname: tdiv_hum longname: vertical integral of divergence of total water content (s) units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500110 shortname: qc_rad longname: subgrid scale cloud water units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500111 shortname: qi_rad longname: subgridscale cloud ice units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500112 shortname: clch_8 longname: cloud cover CH (0..8) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500113 shortname: clcm_8 longname: cloud cover CM (0..8) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500114 shortname: clcl_8 longname: cloud cover CL (0..8) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500115 shortname: hbas_sc longname: cloud base above msl, shallow convection units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500116 shortname: htop_sc longname: cloud top above msl, shallow convection units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500117 shortname: clw_con longname: specific cloud water content, convective cloud units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500118 shortname: hbas_con longname: Height of Convective Cloud Base (i) units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500119 shortname: htop_con longname: Height of Convective Cloud Top (i) units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500120 shortname: bas_con longname: base index (vertical level) of main convective cloud (i) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500121 shortname: top_con longname: top index (vertical level) of main convective cloud (i) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500122 shortname: dt_con longname: Temperature tendency due to convection units: K s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500123 shortname: dqv_con longname: Specific humitiy tendency due to convection units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500124 shortname: du_con longname: zonal wind tendency due to convection units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500125 shortname: dv_con longname: meridional wind tendency due to convection units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500126 shortname: htop_dc longname: height of top of dry convection units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500127 shortname: hzerocl longname: height of 0 degree celsius level code 0,3,6 ? units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500128 shortname: snowlmt longname: Height of snow fall limit units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500129 shortname: dqc_con longname: Tendency of specific cloud liquid water content due to conversion units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500130 shortname: dqi_con longname: tendency of specific cloud ice content due to convection units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500131 shortname: q_sedim longname: Specific content of precipitation particles (needed for water loadin)g units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500132 shortname: prr_gsp longname: Large scale rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500133 shortname: prs_gsp longname: Large scale snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500134 shortname: rain_gsp longname: Large scale rain rate (s) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500135 shortname: prr_con longname: Convective rain rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500136 shortname: prs_con longname: Convective snowfall rate water equivalent units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500137 shortname: rain_con longname: Convective rain rate (s) units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500138 shortname: rr_f longname: rain amount, grid-scale plus convective units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500139 shortname: rr_c longname: snow amount, grid-scale plus convective units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500140 shortname: dt_gsp longname: Temperature tendency due to grid scale precipation units: K s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500141 shortname: dqv_gsp longname: Specific humitiy tendency due to grid scale precipitation units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500142 shortname: dqc_gsp longname: tendency of specific cloud liquid water content due to grid scale precipitation units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500143 shortname: freshsnw longname: Fresh snow factor (weighting function for albedo indicating freshness of snow) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500144 shortname: dqi_gsp longname: tendency of specific cloud ice content due to grid scale precipitation units: kg kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500145 shortname: prg_gsp longname: Graupel (snow pellets) precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500146 shortname: grau_gsp longname: Graupel (snow pellets) precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500147 shortname: rho_snow longname: Snow density units: kg m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500148 shortname: pp longname: Pressure perturbation units: Pa description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500149 shortname: sdi_1 longname: supercell detection index 1 (rot. up+down drafts) units: s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500150 shortname: sdi_2 longname: supercell detection index 2 (only rot. up drafts) units: s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500151 shortname: cape_mu longname: Convective Available Potential Energy, most unstable units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500152 shortname: cin_mu longname: Convective Inhibition, most unstable units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500153 shortname: cape_ml longname: Convective Available Potential Energy, mean layer units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500154 shortname: cin_ml longname: Convective Inhibition, mean layer units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500155 shortname: tke_con longname: Convective turbulent kinetic enery units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500156 shortname: tketens longname: Tendency of turbulent kinetic energy units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500157 shortname: ke longname: Kinetic Energy units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500158 shortname: tke longname: Turbulent Kinetic Energy units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500159 shortname: tkvm longname: Turbulent diffusioncoefficient for momentum units: m**2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500160 shortname: tkvh longname: Turbulent diffusion coefficient for heat (and moisture) units: m**2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500161 shortname: tcm longname: Turbulent transfer coefficient for impulse units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500162 shortname: tch longname: Turbulent transfer coefficient for heat (and Moisture) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500163 shortname: mh longname: mixed layer depth units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500164 shortname: vmax_10m longname: maximum Wind 10m units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500165 shortname: ru-103 longname: Air concentration of Ruthenium 103 units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500166 shortname: t_so longname: Soil Temperature (multilayers) units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500167 shortname: w_so longname: Column-integrated Soil Moisture (multilayers) units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500168 shortname: w_so_ice longname: soil ice content (multilayers) units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500169 shortname: w_i longname: Plant Canopy Surface Water units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500170 shortname: t_snow longname: Snow temperature (top of snow) units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500171 shortname: prs_min longname: Minimal Stomatal Resistance units: s m**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500172 shortname: t_ice longname: sea Ice Temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500173 shortname: dbz_850 longname: Base reflectivity units: dB description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500174 shortname: dbz longname: Base reflectivity units: dB description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500175 shortname: dbz_cmax longname: Base reflectivity (cmax) units: dB description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500176 shortname: dttdiv longname: unknown units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500177 shortname: sotr_rad longname: Effective transmissivity of solar radiation units: K s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500178 shortname: evatra_sum longname: sum of contributions to evaporation units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500179 shortname: tra_sum longname: total transpiration from all soil layers units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500180 shortname: totforce_s longname: total forcing at soil surface units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500181 shortname: resid_wso longname: residuum of soil moisture units: kg m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500182 shortname: mflx_con longname: Massflux at convective cloud base units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500183 shortname: cape_con longname: Convective Available Potential Energy units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500184 shortname: qcvg_con longname: moisture convergence for Kuo-type closure units: s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500185 shortname: mwd longname: total wave direction units: Degree true description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500186 shortname: mwp_x longname: wind sea mean period units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500187 shortname: ppww longname: wind sea peak period units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500188 shortname: mpp_s longname: swell mean period units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500189 shortname: ppps longname: swell peak period units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500190 shortname: pp1d longname: total wave peak period units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500191 shortname: tm10 longname: total wave mean period units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500192 shortname: tm01 longname: total Tm1 period units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500193 shortname: tm02 longname: total Tm2 period units: s description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500194 shortname: sprd longname: total directional spread units: Degree true description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500195 shortname: ana_err_fi longname: analysis error(standard deviation), geopotential(gpm) units: gpm description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500196 shortname: ana_err_u longname: analysis error(standard deviation), u-comp. of wind units: m**2 s**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500197 shortname: ana_err_v longname: analysis error(standard deviation), v-comp. of wind units: m**2 s**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500198 shortname: du_sso longname: zonal wind tendency due to subgrid scale oro. units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500199 shortname: dv_sso longname: meridional wind tendency due to subgrid scale oro. units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500200 shortname: sso_stdh longname: Standard deviation of sub-grid scale orography units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500201 shortname: sso_gamma longname: Anisotropy of sub-gridscale orography units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500202 shortname: sso_theta longname: Angle of sub-gridscale orography units: radians description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500203 shortname: sso_sigma longname: Slope of sub-gridscale orography units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500204 shortname: emis_rad longname: surface emissivity units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500205 shortname: soiltyp longname: Soil Type units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500206 shortname: lai longname: Leaf area index units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500207 shortname: rootdp longname: root depth of vegetation units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500208 shortname: hmo3 longname: height of ozone maximum (climatological) units: Pa description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500209 shortname: vio3 longname: vertically integrated ozone content (climatological) units: Pa description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500210 shortname: plcov_mx longname: Plant covering degree in the vegetation phase units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500211 shortname: plcov_mn longname: Plant covering degree in the quiescent phas units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500212 shortname: lai_mx longname: Max Leaf area index units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500213 shortname: lai_mn longname: Min Leaf area index units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500214 shortname: oro_mod longname: Orographie + Land-Meer-Verteilung units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500215 shortname: wvar1 longname: variance of soil moisture content (0-10) units: kg**2 m**-4 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500216 shortname: wvar2 longname: variance of soil moisture content (10-100) units: kg**2 m**-4 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500217 shortname: for_e longname: evergreen forest units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500218 shortname: for_d longname: deciduous forest units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500219 shortname: ndvi longname: normalized differential vegetation index units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500220 shortname: ndvi_max longname: normalized differential vegetation index (NDVI) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500221 shortname: ndvi_mrat longname: ratio of monthly mean NDVI (normalized differential vegetation index) to annual maximum units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500222 shortname: ndviratio longname: ratio of monthly mean NDVI (normalized differential vegetation index) to annual maximum units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500223 shortname: aer_so4 longname: Total sulfate aerosol units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500224 shortname: aer_so412 longname: Total sulfate aerosol (12M) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500225 shortname: aer_dust longname: Total soil dust aerosol units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500226 shortname: aer_dust12 longname: Total soil dust aerosol (12M) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500227 shortname: aer_org longname: Organic aerosol units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500228 shortname: aer_org12 longname: Organic aerosol (12M) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500229 shortname: aer_bc longname: Black carbon aerosol units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500230 shortname: aer_bc12 longname: Black carbon aerosol (12M) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500231 shortname: aer_ss longname: Sea salt aerosol units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500232 shortname: aer_ss12 longname: Sea salt aerosol (12M) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500233 shortname: dqvdt longname: tendency of specific humidity units: s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500234 shortname: qvsflx longname: water vapor flux units: s**-1 m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500235 shortname: fc longname: Coriolis parameter units: s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500236 shortname: rlat longname: geographical latitude units: Degree N description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500237 shortname: rlon longname: geographical longitude units: Degree E description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500238 shortname: ustr longname: Friction velocity units: m s**-1 description: '' access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500239 shortname: ztd longname: Delay of the GPS signal trough the (total) atm. units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500240 shortname: zwd longname: Delay of the GPS signal trough wet atmos. units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500241 shortname: zhd longname: Delay of the GPS signal trough dry atmos. units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500242 shortname: o3 longname: Ozone Mixing Ratio units: kg kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500243 shortname: ru-103 longname: Air concentration of Ruthenium 103 (Ru103- concentration) units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500244 shortname: ru-103d longname: Ru103-dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500245 shortname: ru-103w longname: Ru103-wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500246 shortname: sr-90 longname: Air concentration of Strontium 90 units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500247 shortname: sr-90d longname: Sr90-dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500248 shortname: sr-90w longname: Sr90-wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500249 shortname: i-131a longname: I131-concentration units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500250 shortname: i-131ad longname: I131-dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500251 shortname: i-131aw longname: I131-wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500252 shortname: cs-137 longname: Cs137-concentration units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500253 shortname: cs-137d longname: Cs137-dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500254 shortname: cs-137w longname: Cs137-wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500255 shortname: te-132 longname: Air concentration of Tellurium 132 (Te132-concentration) units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500256 shortname: te-132d longname: Te132-dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500257 shortname: te-132w longname: Te132-wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500258 shortname: zr-95 longname: Air concentration of Zirconium 95 (Zr95-concentration) units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500259 shortname: zr-95d longname: Zr95-dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500260 shortname: zr-95w longname: Zr95-wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500261 shortname: kr-85 longname: Air concentration of Krypton 85 (Kr85-concentration) units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500262 shortname: kr-85d longname: Kr85-dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500263 shortname: kr-85w longname: Kr85-wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500264 shortname: tr-2 longname: TRACER - concentration units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500265 shortname: tr-2d longname: TRACER - dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500266 shortname: tr-2w longname: TRACER - wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500267 shortname: xe-133 longname: Air concentration of Xenon 133 (Xe133 - concentration) units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500268 shortname: xe-133d longname: Xe133 - dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500269 shortname: xe-133w longname: Xe133 - wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500270 shortname: i-131g longname: I131g - concentration units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500271 shortname: i-131gd longname: Xe133 - wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500272 shortname: i-131gw longname: I131g - wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500273 shortname: i-131o longname: I131o - concentration units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500274 shortname: i-131od longname: I131o - dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500275 shortname: i-131ow longname: I131o - wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500276 shortname: ba-140 longname: Air concentration of Barium 40 units: Bq m**-3 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500277 shortname: ba-140d longname: Ba140 - dry deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500278 shortname: ba-140w longname: Ba140 - wet deposition units: Bq m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500279 shortname: austr_sso longname: u-momentum flux due to SSO-effects units: N m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500280 shortname: ustr_sso longname: u-momentum flux due to SSO-effects units: N m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500281 shortname: avstr_sso longname: v-momentum flux due to SSO-effects units: N m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500282 shortname: vstr_sso longname: v-momentum flux due to SSO-effects units: N m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500283 shortname: avdis_sso longname: Gravity wave dissipation (vertical integral) units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500284 shortname: vdis_sso longname: Gravity wave dissipation (vertical integral) units: W m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500285 shortname: uv_max longname: UV_Index_Maximum_W UV_Index clouded (W), daily maximum units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500286 shortname: w_shaer longname: wind shear units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500287 shortname: srh longname: storm relative helicity units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500288 shortname: vabs longname: absolute vorticity advection units: s**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500289 shortname: cl_typ longname: NiederschlagBew.-ArtKombination Niederschl.-Bew.-Blautherm. (283..407) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500290 shortname: ccl_gnd longname: Konvektions-U-GrenzeHoehe der Konvektionsuntergrenze ueber Grund units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500291 shortname: ccl_nn longname: Konv.-U-Grenze-nn Hoehe der Konvektionsuntergrenze ueber nn units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500292 shortname: ww longname: weather interpretation (WMO) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500293 shortname: advorg longname: geostrophische Vorticityadvektion units: s**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500294 shortname: advor longname: Geo Temperatur Adv geostrophische Schichtdickenadvektion units: m**3 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500295 shortname: adrtg longname: Schichtdicken-Advektion units: m**3 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500296 shortname: wdiv longname: Winddivergenz units: s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500297 shortname: fqn longname: Qn-Vektor Q isother-senkr-KompQn ,Komp. Q-Vektor senkrecht zu den Isothermen units: m**2 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500298 shortname: ipv longname: Isentrope potentielle Vorticity units: K m**2 kg**-1 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500299 shortname: up longname: XIPV Wind X-Komp Wind X-Komponente auf isentropen Flaechen units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500300 shortname: vp longname: YIPV Wind Y-Komp Wind Y-Komponente auf isentropen Flaechen units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500301 shortname: ptheta longname: Druck einer isentropen Flaeche units: Pa description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500302 shortname: ko longname: KO index units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500303 shortname: thetae longname: Aequivalentpotentielle Temperatur units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500304 shortname: ceiling longname: Ceiling units: m description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500305 shortname: ice_grd longname: Icing Grade (1=LGT,2=MOD,3=SEV) units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500306 shortname: cldepth longname: modified cloud depth for media units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500307 shortname: clct_mod longname: modified cloud cover for media units: '~' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500308 shortname: efa-ps longname: Monthly Mean of RMS of difference FG-AN of pressure reduced to MSL units: Pa description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500309 shortname: eia-ps longname: Monthly Mean of RMS of difference IA-AN of pressure reduced to MSL units: Pa description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500310 shortname: efa-u longname: Monthly Mean of RMS of difference FG-AN of u-component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500311 shortname: eia-u longname: Monthly Mean of RMS of difference IA-AN of u-component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500312 shortname: efa-v longname: Monthly Mean of RMS of difference FG-AN of v-component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500313 shortname: eia-v longname: Monthly Mean of RMS of difference IA-AN of v-component of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500314 shortname: efa-fi longname: Monthly Mean of RMS of difference FG-AN of geopotential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500315 shortname: eia-fi longname: Monthly Mean of RMS of difference IA-AN of geopotential units: m**2 s**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500316 shortname: efa-rh longname: Monthly Mean of RMS of difference FG-AN of relative humidity units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500317 shortname: eia-rh longname: Monthly Mean of RMS of difference IA-AN of relative humidity units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500318 shortname: efa-t longname: Monthly Mean of RMS of difference FG-AN of temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500319 shortname: eia-t longname: Monthly Mean of RMS of difference IA-AN of temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500320 shortname: efa-om longname: Monthly Mean of RMS of difference FG-AN of vert.velocity (pressure) units: Pa s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500321 shortname: eia-om longname: Monthly Mean of RMS of difference IA-AN of vert.velocity (pressure) units: Pa s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500322 shortname: efa-ke longname: Monthly Mean of RMS of difference FG-AN of kinetic energy units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500323 shortname: eia-ke longname: Monthly Mean of RMS of difference IA-AN of kinetic energy units: J kg**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500324 shortname: synme5_bt_cl longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500325 shortname: synme5_bt_cs longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500326 shortname: synme5_rad_cl longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500327 shortname: synme5_rad_cs longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500328 shortname: synme6_bt_cl longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500329 shortname: synme6_bt_cs longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500330 shortname: synme6_rad_cl longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500331 shortname: synme6_rad_cs longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500332 shortname: synme7_bt_cl_ir11.5 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500333 shortname: synme7_bt_cl_wv6.4 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500334 shortname: synme7_bt_cs_ir11.5 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500335 shortname: synme7_bt_cs_wv6.4 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500336 shortname: synme7_rad_cl_ir11.5 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500337 shortname: synme7_rad_cl_wv6.4 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500338 shortname: synme7_rad_cs_ir11.5 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500339 shortname: synme7_rad_cs_wv6.4 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500340 shortname: synmsg_bt_cl_ir10.8 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500341 shortname: synmsg_bt_cl_ir12.1 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500342 shortname: synmsg_bt_cl_ir13.4 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500343 shortname: synmsg_bt_cl_ir3.9 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500344 shortname: synmsg_bt_cl_ir8.7 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500345 shortname: synmsg_bt_cl_ir9.7 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500346 shortname: synmsg_bt_cl_wv6.2 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500347 shortname: synmsg_bt_cl_wv7.3 longname: Synth. Sat. brightness temperature cloudy units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500348 shortname: synmsg_bt_cs_ir8.7 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500349 shortname: synmsg_bt_cs_ir10.8 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500350 shortname: synmsg_bt_cs_ir12.1 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500351 shortname: synmsg_bt_cs_ir13.4 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500352 shortname: synmsg_bt_cs_ir3.9 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500353 shortname: synmsg_bt_cs_ir9.7 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500354 shortname: synmsg_bt_cs_wv6.2 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500355 shortname: synmsg_bt_cs_wv7.3 longname: Synth. Sat. brightness temperature clear sky units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500356 shortname: synmsg_rad_cl_ir10.8 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500357 shortname: synmsg_rad_cl_ir12.1 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500358 shortname: synmsg_rad_cl_ir13.4 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500359 shortname: synmsg_rad_cl_ir3.9 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500360 shortname: synmsg_rad_cl_ir8.7 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500361 shortname: synmsg_rad_cl_ir9.7 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500362 shortname: synmsg_rad_cl_wv6.2 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500363 shortname: synmsg_rad_cl_wv7.3 longname: Synth. Sat. radiance cloudy units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500364 shortname: synmsg_rad_cs_ir10.8 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500365 shortname: synmsg_rad_cs_ir12.1 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500366 shortname: synmsg_rad_cs_ir13.4 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500367 shortname: synmsg_rad_cs_ir3.9 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500368 shortname: synmsg_rad_cs_ir8.7 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500369 shortname: synmsg_rad_cs_ir9.7 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500370 shortname: synmsg_rad_cs_wv6.2 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500371 shortname: synmsg_rad_cs_wv7.3 longname: Synth. Sat. radiance clear sky units: W m sr m**-2 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500372 shortname: t_2m_s longname: smoothed forecast, temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500373 shortname: tmax_2m_s longname: smoothed forecast, maximum temp. units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500374 shortname: tmin_2m_s longname: smoothed forecast, minimum temp. units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500375 shortname: td_2m_s longname: smoothed forecast, dew point temp. units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500376 shortname: u_10m_s longname: smoothed forecast, u comp. of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500377 shortname: v_10m_s longname: smoothed forecast, v comp. of wind units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500378 shortname: tot_prec_s longname: smoothed forecast, total precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500379 shortname: clct_s longname: smoothed forecast, total cloud cover units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500380 shortname: clcl_s longname: smoothed forecast, cloud cover low units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500381 shortname: clcm_s longname: smoothed forecast, cloud cover medium units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500382 shortname: clch_s longname: smoothed forecast, cloud cover high units: '%' description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500383 shortname: snow_gsp_s longname: smoothed forecast, large-scale snowfall rate w.e. units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500384 shortname: t_s_s longname: smoothed forecast, soil temperature units: K description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500385 shortname: vmax_10m_s longname: smoothed forecast, wind speed (gust) units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500386 shortname: tot_prec_c longname: calibrated forecast, total precipitation rate units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500387 shortname: snow_gsp_c longname: calibrated forecast, large-scale snowfall rate w.e. units: kg m**-2 s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500388 shortname: vmax_10m_c longname: calibrated forecast, wind speed (gust) units: m s**-1 description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500389 shortname: obsmsg_alb_hrv longname: Obser. Sat. Meteosat sec. generation Albedo (scaled) units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500390 shortname: obsmsg_alb_nir1.6 longname: Obser. Sat. Meteosat sec. generation Albedo (scaled) units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500391 shortname: obsmsg_alb_vis0.6 longname: Obser. Sat. Meteosat sec. generation Albedo (scaled) units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500392 shortname: obsmsg_alb_vis0.8 longname: Obser. Sat. Meteosat sec. generation Albedo (scaled) units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500393 shortname: obsmsg_bt_ir10.8 longname: Obser. Sat. Meteosat sec. generation brightness temperature units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500394 shortname: obsmsg_bt_ir12.0 longname: Obser. Sat. Meteosat sec. generation brightness temperature units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500395 shortname: obsmsg_bt_ir13.4 longname: Obser. Sat. Meteosat sec. generation brightness temperature units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500396 shortname: obsmsg_bt_ir3.9 longname: Obser. Sat. Meteosat sec. generation brightness temperature units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500397 shortname: obsmsg_bt_ir8.7 longname: Obser. Sat. Meteosat sec. generation brightness temperature units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500398 shortname: obsmsg_bt_ir9.7 longname: Obser. Sat. Meteosat sec. generation brightness temperature units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500399 shortname: obsmsg_bt_wv6.2 longname: Obser. Sat. Meteosat sec. generation brightness temperature units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 500400 shortname: obsmsg_bt_wv7.3 longname: Obser. Sat. Meteosat sec. generation brightness temperature units: Numeric description: null access_ids: [] origin_ids: - 80 table: 500 mars_request_context: [] - id: 7001292 shortname: SUNSD longname: Sunshine Duration units: s description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001293 shortname: ICSEV longname: Icing severity units: Numeric description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001294 shortname: AMSRE10 longname: Simulated Brightness Temperature for AMSRE on Aqua, Channel 10 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001295 shortname: AMSRE11 longname: Simulated Brightness Temperature for AMSRE on Aqua, Channel 11 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001296 shortname: AMSRE12 longname: Simulated Brightness Temperature for AMSRE on Aqua, Channel 12 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001297 shortname: AMSRE9 longname: Simulated Brightness Temperature for AMSRE on Aqua, Channel 9 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001298 shortname: SBC123 longname: Simulated Brightness Counts for GOES 12, Channel 3 units: Byte description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001299 shortname: SBC124 longname: Simulated Brightness Counts for GOES 12, Channel 4 units: Byte description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001300 shortname: SBT112 longname: Simulated Brightness Temperature for GOES 11, Channel 2 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001301 shortname: SBT113 longname: Simulated Brightness Temperature for GOES 11, Channel 3 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001302 shortname: SBT114 longname: Simulated Brightness Temperature for GOES 11, Channel 4 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001303 shortname: SBT115 longname: Simulated Brightness Temperature for GOES 11, Channel 5 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001304 shortname: SBT122 longname: Simulated Brightness Temperature for GOES 12, Channel 2 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001305 shortname: SBT123 longname: Simulated Brightness Temperature for GOES 12, Channel 3 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001306 shortname: SBT124 longname: Simulated Brightness Temperature for GOES 12, Channel 4 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001307 shortname: SBT126 longname: Simulated Brightness Temperature for GOES 12, Channel 6 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001308 shortname: SBTA1610 longname: Simulated Brightness Temperature for ABI GOES-16, Band-10 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001309 shortname: SBTA1611 longname: Simulated Brightness Temperature for ABI GOES-16, Band-11 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001310 shortname: SBTA1612 longname: Simulated Brightness Temperature for ABI GOES-16, Band-12 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001311 shortname: SBTA1613 longname: Simulated Brightness Temperature for ABI GOES-16, Band-13 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001312 shortname: SBTA1614 longname: Simulated Brightness Temperature for ABI GOES-16, Band-14 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001313 shortname: SBTA1615 longname: Simulated Brightness Temperature for ABI GOES-16, Band-15 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001314 shortname: SBTA1616 longname: Simulated Brightness Temperature for ABI GOES-16, Band-16 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001315 shortname: SBTA167 longname: Simulated Brightness Temperature for ABI GOES-16, Band-7 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001316 shortname: SBTA168 longname: Simulated Brightness Temperature for ABI GOES-16, Band-8 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001317 shortname: SBTA169 longname: Simulated Brightness Temperature for ABI GOES-16, Band-9 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001318 shortname: SBTA1710 longname: Simulated Brightness Temperature for ABI GOES-17, Band-10 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001319 shortname: SBTA1711 longname: Simulated Brightness Temperature for ABI GOES-17, Band-11 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001320 shortname: SBTA1712 longname: Simulated Brightness Temperature for ABI GOES-17, Band-12 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001321 shortname: SBTA1713 longname: Simulated Brightness Temperature for ABI GOES-17, Band-13 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001322 shortname: SBTA1714 longname: Simulated Brightness Temperature for ABI GOES-17, Band-14 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001323 shortname: SBTA1715 longname: Simulated Brightness Temperature for ABI GOES-17, Band-15 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001324 shortname: SBTA1716 longname: Simulated Brightness Temperature for ABI GOES-17, Band-16 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001325 shortname: SBTA177 longname: Simulated Brightness Temperature for ABI GOES-17, Band-7 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001326 shortname: SBTA178 longname: Simulated Brightness Temperature for ABI GOES-17, Band-8 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001327 shortname: SBTA179 longname: Simulated Brightness Temperature for ABI GOES-17, Band-9 units: K description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001328 shortname: SRFA161 longname: Simulated Reflectance Factor for ABI GOES-16, Band-1 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001329 shortname: SRFA162 longname: Simulated Reflectance Factor for ABI GOES-16, Band-2 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001330 shortname: SRFA163 longname: Simulated Reflectance Factor for ABI GOES-16, Band-3 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001331 shortname: SRFA164 longname: Simulated Reflectance Factor for ABI GOES-16, Band-4 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001332 shortname: SRFA165 longname: Simulated Reflectance Factor for ABI GOES-16, Band-5 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001333 shortname: SRFA166 longname: Simulated Reflectance Factor for ABI GOES-16, Band-6 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001334 shortname: SRFA171 longname: Simulated Reflectance Factor for ABI GOES-17, Band-1 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001335 shortname: SRFA172 longname: Simulated Reflectance Factor for ABI GOES-17, Band-2 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001336 shortname: SRFA173 longname: Simulated Reflectance Factor for ABI GOES-17, Band-3 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001337 shortname: SRFA174 longname: Simulated Reflectance Factor for ABI GOES-17, Band-4 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001338 shortname: SRFA175 longname: Simulated Reflectance Factor for ABI GOES-17, Band-5 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001339 shortname: SRFA176 longname: Simulated Reflectance Factor for ABI GOES-17, Band-6 units: '~' description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 7001353 shortname: VRATE longname: Ventilation Rate units: m**2 s**-1 description: '' access_ids: [] origin_ids: - 7 table: 1 mars_request_context: [] - id: 85001156 shortname: PREC_CONVEC longname: Total convective Precipitation units: kg m**-2 description: '' access_ids: [] origin_ids: - 85 table: 1 mars_request_context: [] - id: 85001157 shortname: PREC_GDE_ECH longname: Total large scale precipitation units: kg m**-2 description: '' access_ids: [] origin_ids: - 85 table: 1 mars_request_context: [] - id: 85001160 shortname: CAPE_INS longname: Convective Available Potential Energy instantaneous units: m**2 s**-2 description: '' access_ids: [] origin_ids: - 85 table: 1 mars_request_context: [] metkit-1.22.0/share/metkit/param-matching.yaml0000664000175000017500000000117415263642712021443 0ustar alastairalastair# wind families used by ParamID normalisation to retrieve u/v from vo/d and related gradients/anomalies wind: # GRIB2 - [131,132,138,155] - [129131,129132,129138,129155] - [171131,171132,171138,171155] - [200131,200132,200138,200155] # GRIB1 - [131.128,132.128,138.128,155.128] - [131.129,132.129,138.129,155.129] - [131.171,132.171,138.171,155.171] - [131.200,132.200,138.200,155.200] # list of tables used by ParamID normalisation to limit the param-table expansion to wind, ocean and reanalysis drop-tables: [140,150,151,160,162,170,180,190] full-table-dropping: true ml-params-single-level: [22, 127, 128, 129, 152] metkit-1.22.0/share/metkit/shortname-context.yaml0000664000175000017500000000254315263642712022236 0ustar alastairalastair--- - 10spg10 - 10spg15 - al - apab_s - apt - asn - bas_con - bld - bli - btp - cap - cape - cape_con - ccc - cdct - clc - cp - cpa - d - dhcc - dhlc - dhr - dhvd - dirc - dqv_con - dslm - dt_con - du_con - dv_con - e - ewgd - gh - hbas_con - hc300m - hc700m - hcbtm - hcc - hfds - htcc - htlc - htop_con - htop_dc - hzerocl - icec - iced - iceg - imgd - lai - lcc - lnsp - lsp - lspa - lwhr - mcc - mdps - mdww - mld - mlotst010 - mlotst030 - mlotst125 - mlott02 - mlott05 - mpps - mpww - msl - msror - mssror - mtha - mthd - mucape - mwd - ndvi - nlwrs - nlwrt - nsf - nsgd - nswrt - o3 - par - pp - pp1d - prec - pres - prr_con - prr_gsp - prs_con - prs_gsp - pta - qc - qi - r - ra - rain_con - rain_gsp - rn - ro - ru-103 - sc300m - sc700m - sd - sf - shf - shww - sialb - sigmat - sipd - sisnthick - sitemptop - sithick - siue - sivn - slhf - snowlmt - so - sohr_rad - sos - sp - spc - sr - sro - srweq - sshf - ssr - ssrd - sst - stfbarot - str - strd - strda - sund - swdi - swh - swhr - swl2 - swmp - t - t14d - t17d - t20d - t26d - t28d - t_ice - t_snow - ta - tauuo - tauvo - tcc - tcond - thetao - thhr_rad - tke - tmax - top_con - tos - tp - tprate - tsec - tsr - tsw - ttr - twater - u - ucq - uflx - ustr - ut - uu - uv - uvi - v - vapp - vdh - vdmw - vdzw - veg - vflx - vmax_10m - vo - vp - vt - vv - w - w_i - wilt - wind - wo - wvsp1 - wvsp2 - wvsp3 - z - zos metkit-1.22.0/share/metkit/modifiers.yaml0000664000175000017500000001541115263642712020533 0ustar alastairalastair--- - context: _verb: [list] output: ['!', browser] class: 'undefined' set: class: [od] # type = ob is already the default && stream comes after type in axis order # - context: # _verb: [retrieve] # stream: [ssmi] # set: # type: [ob] - context: _verb: [list] output: ['!', browser] class: ['!', rd'] defaults: type: [an] stream: [oper] expver: [0001] - context: _verb: [list] output: ['!', browser] class: ['!', rd] pseudodate: 'undefined' defaults: date: [-1] - context: _verb: [list] output: ['!', browser] class: [rd] expver: 'undefined' error: "Missing expver. Please, specify one" - context: class: [ti] defaults: stream: [enfo] - context: class: ['!', ti] defaults: stream: [oper] - context: _verb: [retrieve] stream: [ssbt, e1, ssmi] set: stream: [oper] warn: "Changed stream=oper" - context: class: [ti] type: [fc] set: stream: [oper] - context: class: [ti, s2, ur, rr, lw] expver: 'undefined' set: expver: [prod] - context: class: [ml, ur, rr] unset: [model] - context: _verb: [retrieve] class: [ai] defaults: model: [aifs-single-mse] - context: class: ['!', d1] dataset: ['!', on-demand-extremes-dt] unset: [georef] - context: type: ['!', oldim, ob, fb, ai, af, ab, tf, ofb, mfb, oai, sfb, fsoifb, fcdfb, ofa] unset: [obsgroup, obstype, duplicates] - context: stream: ['!', ssmi] type: [im, sim, oldim] unset: [levtype, levelist, param, grid, rotation, duplicates] - context: type: [ssd, mpp, gsd, ob, fb, ai, af, ab, ofb, mfb, oai, sfb, fsoifb, fcdfb, ofa] unset: [levtype] - context: stream: [ssmi] unset: [levtype, levelist, param, grid, rotation] - context: levtype: [ml] defaults: levelist: [1] - context: levtype: [pl] defaults: levelist: [1000, 850, 700, 500, 400, 300] - context: levtype: [fl] defaults: levelist: [100, 140, 180, 240, 300, 340, 390, 450] - context: stream: ['!', xwda] unset: [obscutoff] - context: type: [ssd, mpp, gsd, ob, fb, ai, af, ab, ofb, mfb, oai, sfb, fsoifb, fcdfb, tf, ofa] unset: [levelist] - context: levtype: [o2d, sfc, wave, al] unset: [levelist] - context: class: [er] levtype: [o3d] unset: [levelist] - context: section: [m, z] product: [inst, tacc, tavg] levtype: [dp] unset: [levelist] - context: section: [v] product: [tims] levtype: [dp] unset: [levelist] - context: type: [ob, fb, ai, af, ab, ofb, mfb, oai, sfb, fsoifb, fcdfb, tf, ofa] unset: [param] - context: stream: [mfhm] type: [em, es, ses] unset: [date] - context: stream: [mnfh] type: [em, es, ses, ed] unset: [date] - context: stream: [clmn] unset: [date] - context: stream: ['!', enfh, enwh, efho, ehmm, ewho, eefh, weeh, efrf, wfrf, efsr, wfsr, wfcl, efcl] unset: [hdate] - context: class: [dm] type: [fc] set: time: [0] - context: type: [ab] unset: [time] - context: stream: [clmn, dame, mdfa] unset: [time] - context: class: ['!', er] stream: [moda, msda, edmo, ewmo, wamd] unset: [time] - context: class: ['!', to, dt] unset: [leadtime, opttime] - context: stream: ['!', seap] unset: [leadtime, opttime] - context: stream: ['!', ssmi] type: [im, oldim] unset: [step] - context: stream: [ssmi, mnfm, mfhm, mfam, mfwm, mhwm, esmm, ehmm, mawm, dame, sfmm, swmm, smma, mmsa] unset: [step] - context: type: [gsd, ob, fb, ai, af, ab, ofb, mfb, oai, sfb, fsoifb, fcdfb, cl, ofa] unset: [step] - context: class: ['!', er] stream: [moda, msda, edmo, ewmo, wamd] unset: [step] - context: class: [ed,ng] unset: [step] - context: class: [d1] dataset: [climate-dt] unset: [step] - context: stream: ['!', lwda, lwwv, elda, ewla, wfas, wfcl, wfse, wfrf, wfsr, efas, efcl, efse, efrf, enfo, oper, ldas, ldst, xwda, efsr] unset: [anoffset] - context: stream: [efas, efcl, efse, efrf, efsr, enfo, oper, wfas, wfcl, wfse, wfrf, wfsr] type: ['!', go, sfo, fu] unset: [anoffset] - context: class: [ti, s2] type: [cf] defaults: number: [0] - context: type: ['!', pf, cm, cs, cr, cv, sv, as, fp, ed, tu, ci, me, ff, icp, sot, fcmean, fcmax, fcmin, fcstdev, svar, gwt, gbf, bf, wp] class: ['!', ti, lw, s2] stream: ['!', xwda, sfdd, sfmd, shdd, shmd, mofc, wamf, mofm, wmfm, seas, wasf, wamf, sfmm, smma, seap, swmm, ocea, mnfc, mnfh, mnfa, mnfw, mfhw, mfaw, mnfm, mfhm, mfam, mfwm, mhwm, mawm, mmsf, msmm, wams, mswm, mmsa, enda, ewda, edmm, edmo, ewmm, ewmo, elda, ewla, espd, mmaf, mmam, mmaw, mmwm, seas, efsr, wfsr, efse, wfse, ocda] unset: [number] - context: _verb: [retrieve, archive] class: ['!', ti, s2] type: [cf, em, es, ses, taem, taes] stream: ['!', mofc, wamf, mofm, wmfm] unset: [number] - context: type: ['!', pd, cd, pb, taem, pfc] unset: [quantile] - context: class: ['!', d1, ed, ng, ms] defaults: domain: [g] - context: class: [od] type: [cm, cs, cr] domain: [g] set: domain: [e] - context: class: [ep] levtype: [o2d, o3d] unset: [domain] - context: class: [d1, ng, ti, s2, ur, lw, rr, ed] unset: [domain] - context: type: ['!', im, sim, oldim, ob, fb, ai, af, ab, tf, ofb, mfb, ssd, oai, gsd, sfb, fsoifb, fcdfb, ofa] unset: [ident] - context: class: [ci, dt] unset: [method] - context: class: [ti, s2] defaults: origin: [ecmf] - context: class: ['!', od, en, me, c3, ci, rd] unset: [system] - context: accuracy: ['n'] unset: [accuracy] - context: accuracy: [l, r] set: accuracy: [8] - context: format: [p] unset: [format] - context: area: [e] set: area: [73.5,-27,33,45] - context: grid: [av] unset: [grid] - context: type: [ai, ob, fb, af, ab, ofb, mfb, oai, sfb, fsoifb, fcdfb, tf, ofa] unset: [grid, rotation] - context: style: [dissemination] set: resol: [av] warn: "Force resol=av when style=dissemination" - context: style: [dissemination] resol: [auto] set: resol: [av] warn: "Force resol=av when style=dissemination" - context: resol: [av] set: intgrid: [source] truncation: [none] - context: resol: [N128,N200] set: intgrid: _resol - context: resol: ['!',av,auto,N128,N200] set: truncation: _resol - context: _verb: [retrieve] class: [ti] defaults: process: [local] - context: _verb: [retrieve] source: 'defined' defaults: database: [file] - context: obsgroup: 'defined' defaults: duplicates: [keep] - context: obstype: 'defined' defaults: duplicates: [keep] - context: _verb: [retrieve] class: [ti] defaults: padding: [0] - context: class: [ms] country: [it] defaults: grib: [ecmwf] metkit-1.22.0/share/metkit/prodgen-params-extra.yaml0000664000175000017500000000103315263642712022605 0ustar alastairalastair# Stuff that is not archived in mars # - - stream: enfh type: - cf - pf - cv - - 1 - 2 - - stream: enfo type: cm - - 130 - - stream: msmm type: em - - 9 # ssro - 8 # sro - 205 # ro - 212 # tisr - - stream: mmsa type: em - - 39 # swvl1 - 40 # swvl2 - 41 # swvl3 - 42 # swvl4 - 172212 #soira - - stream: msmm type: fcmean - - 8 - 205 # ro - 212 # tisr - - stream: mmsa type: fcmean - - 39 # swvl1 - 40 # swvl2 - 41 # swvl3 - 42 # swvl4 metkit-1.22.0/share/metkit/parameter_entry_schema.json0000664000175000017500000000761515263642712023311 0ustar alastairalastair{ "$defs": { "MarsRequestContext": { "additionalProperties": true, "description": "A MARS-key context that (partly) selects a parameter id.\n\nThis mirrors a single matcher rule from ``share/metkit/params.yaml``. Its\nschema is kept **separate** from :class:`ParameterEntry` so the context\ncontract can evolve independently and so user-supplied context schemas can\nvalidate against it. All fields are optional because ``params.yaml`` rules\ndo not always constrain every key (e.g. ``levtype`` is occasionally absent).", "properties": { "class": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "MARS class (e.g. 'od', 'ai')", "title": "Class" }, "stream": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "MARS stream (e.g. 'oper', 'enfo')", "title": "Stream" }, "type": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "MARS type (e.g. 'fc', 'cf')", "title": "Type" }, "levtype": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "MARS level type (e.g. 'sfc', 'pl')", "title": "Levtype" } }, "title": "MarsRequestContext", "type": "object" } }, "additionalProperties": true, "description": "A single entry from the ECMWF parameter database.\n\nThis model accepts the **canonical** field names only (``shortname``/``longname``). Raw API alias spellings (e.g. ``shortName``, ``name``) are NOT accepted and must be normalised to canonical keys before validation.\n\nThe JSON schema emitted from this model (and bundled as ``parameter_entry_schema.json``) mirrors this contract: it validates the canonical keys only.", "properties": { "id": { "description": "Numeric ECMWF/GRIB parameter ID", "title": "Id", "type": "integer" }, "shortname": { "description": "Short name (e.g. 't', 'tp')", "title": "Shortname", "type": "string" }, "longname": { "description": "Human-readable long name (e.g. 'Temperature')", "title": "Longname", "type": "string" }, "units": { "default": "unknown", "description": "Physical units string (e.g. 'K', 'm s**-1')", "title": "Units", "type": "string" }, "table": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "GRIB parameter table the id encodes to (e.g. 128, 228)", "title": "Table" }, "mars_request_context": { "description": "MARS-key contexts (from params.yaml) in which this paramid appears; used to disambiguate shortname collisions", "items": { "$ref": "#/$defs/MarsRequestContext" }, "title": "Mars Request Context", "type": "array" }, "origin_ids": { "description": "WMO originating centre IDs associated with this parameter", "items": { "type": "integer" }, "title": "Origin Ids", "type": "array" }, "access_ids": { "description": "Access category tags (e.g. 'dissemination', 'research')", "items": { "type": "string" }, "title": "Access Ids", "type": "array" } }, "required": [ "id", "shortname", "longname" ], "title": "ParameterEntry", "type": "object" }metkit-1.22.0/share/metkit/paramids.yaml0000664000175000017500000172321415263642712020362 0ustar alastairalastair--- # File automatically generated by make-yaml.py --param # Do not edit 1: - strf - Stream function 2: - vp - Velocity potential - vpot 3: - pt - Potential temperature 4: - eqpt - Equivalent potential temperature 5: - sept - Saturated equivalent potential temperature 6: - ssfr - Soil sand fraction 7: - scfr - Soil clay fraction 8: - sro - Surface runoff 9: - ssro - Sub-surface runoff 10: - ws - Wind speed 11: - udvw - U component of divergent wind 12: - vdvw - V component of divergent wind 13: - urtw - U component of rotational wind 14: - vrtw - V component of rotational wind 15: - aluvp - UV visible albedo for direct radiation (climatological) - auvp 16: - aluvd - UV visible albedo for diffuse radiation (climatological) - auvd 17: - alnip - Near IR albedo for direct radiation (climatological) - anip 18: - alnid - Near IR albedo for diffuse radiation (climatological) - anid 19: - uvcs - Clear sky surface UV 20: - parcs - Surface photosynthetically active radiation, clear sky 21: - uctp - Unbalanced component of temperature 22: - ucln - Unbalanced component of logarithm of surface pressure 23: - ucdv - Unbalanced component of divergence 24: - _param_000024 - Reserved for future unbalanced components 25: - _param_000025 - Reserved for future unbalanced components 26: - cl - Lake cover 27: - cvl - Low vegetation cover 28: - cvh - High vegetation cover 29: - tvl - Type of low vegetation 30: - tvh - Type of high vegetation 31: - ci - Sea ice area fraction 32: - asn - Snow albedo 33: - rsn - Snow density 34: - sst - Sea surface temperature - sstk 35: - istl1 - Ice temperature layer 1 36: - istl2 - Ice temperature layer 2 37: - istl3 - Ice temperature layer 3 38: - istl4 - Ice temperature layer 4 39: - swvl1 - Volumetric soil water layer 1 - swv1 40: - swvl2 - Volumetric soil water layer 2 - swv2 41: - swvl3 - Volumetric soil water layer 3 - swv3 42: - swvl4 - Volumetric soil water layer 4 - swv4 43: - slt - Soil type 44: - es - Snow evaporation 45: - smlt - Snowmelt 46: - sdur - Solar duration 47: - dsrp - Surface direct normal short-wave (solar) radiation 48: - magss - Time-integrated magnitude of turbulent surface stress 49: - 10fg - Maximum 10 metre wind gust since previous post-processing 50: - lspf - Large-scale precipitation fraction 51: - mx2t24 - Maximum temperature at 2 metres in the last 24 hours 52: - mn2t24 - Minimum temperature at 2 metres in the last 24 hours 53: - mont - Montgomery potential 54: - pres - Pressure 55: - mean2t24 - Mean temperature at 2 metres in the last 24 hours 56: - mn2d24 - Mean 2 metre dewpoint temperature in the last 24 hours 57: - uvb - Surface downward UV radiation 58: - par - Photosynthetically active radiation at the surface 59: - cape - Convective available potential energy 60: - pv - Potential vorticity 62: - obct - Observation count 63: - stsktd - Start time for skin temperature difference 64: - ftsktd - Finish time for skin temperature difference 65: - sktd - Skin temperature difference 66: - lai_lv - Leaf area index, low vegetation - lailv 67: - lai_hv - Leaf area index, high vegetation - laihv 68: - msr_lv - Minimum stomatal resistance, low vegetation 69: - msr_hv - Minimum stomatal resistance, high vegetation 70: - bc_lv - Biome cover, low vegetation 71: - bc_hv - Biome cover, high vegetation 72: - issrd - Instantaneous surface solar radiation downwards 73: - istrd - Instantaneous surface thermal radiation downwards 74: - sdfor - Standard deviation of filtered subgrid orography (climatological) 75: - crwc - Specific rain water content 76: - cswc - Specific snow water content 77: - etadot - Eta-coordinate vertical velocity - etad 78: - tclw - Total column cloud liquid water 79: - tciw - Total column cloud ice water 80: - _param_000080 - Experimental product 81: - _param_000081 - Experimental product 82: - _param_000082 - Experimental product 83: - _param_000083 - Experimental product 84: - _param_000084 - Experimental product 85: - _param_000085 - Experimental product 86: - _param_000086 - Experimental product 87: - _param_000087 - Experimental product 88: - _param_000088 - Experimental product 89: - _param_000089 - Experimental product 90: - _param_000090 - Experimental product 91: - _param_000091 - Experimental product 92: - _param_000092 - Experimental product 93: - _param_000093 - Experimental product 94: - _param_000094 - Experimental product 95: - _param_000095 - Experimental product 96: - _param_000096 - Experimental product 97: - _param_000097 - Experimental product 98: - _param_000098 - Experimental product 99: - _param_000099 - Experimental product 100: - _param_000100 - Experimental product 101: - _param_000101 - Experimental product 102: - _param_000102 - Experimental product 103: - _param_000103 - Experimental product 104: - _param_000104 - Experimental product 105: - _param_000105 - Experimental product 106: - _param_000106 - Experimental product 107: - _param_000107 - Experimental product 108: - _param_000108 - Experimental product 109: - _param_000109 - Experimental product 110: - _param_000110 - Experimental product 111: - _param_000111 - Experimental product 112: - _param_000112 - Experimental product 113: - _param_000113 - Experimental product 114: - _param_000114 - Experimental product 115: - _param_000115 - Experimental product 116: - _param_000116 - Experimental product 117: - _param_000117 - Experimental product 118: - _param_000118 - Experimental product 119: - _param_000119 - Experimental product 120: - _param_000120 - Experimental product 121: - mx2t6 - Maximum temperature at 2 metres in the last 6 hours 122: - mn2t6 - Minimum temperature at 2 metres in the last 6 hours 123: - 10fg6 - Maximum 10 metre wind gust in the last 6 hours 124: - emis - Surface emissivity 125: - vite - Vertically integrated total energy 126: - _param_000126 - Generic parameter for sensitive area prediction 127: - at - Atmospheric tide 128: - bv - Budget values 129: - z - Geopotential 130: - t - Temperature 131: - u - U component of wind 132: - v - V component of wind 133: - q - Specific humidity 134: - sp - Surface pressure 135: - w - Vertical velocity 136: - tcw - Total column water 137: - tcwv - Total column vertically-integrated water vapour 138: - vo - Vorticity (relative) 139: - stl1 - Soil temperature level 1 - st 140: - swl1 - Soil wetness level 1 141: - sd - Snow depth 142: - lsp - Large-scale precipitation 143: - cp - Convective precipitation 144: - sf - Snowfall 145: - bld - Time-integrated boundary layer dissipation 146: - sshf - Time-integrated surface sensible heat net flux 147: - slhf - Time-integrated surface latent heat net flux 148: - chnk - Charnock - ss 149: - snr - Surface net radiation (SW and LW) 150: - tnr - Top net radiation (SW and LW) 151: - msl - Mean sea level pressure 152: - lnsp - Logarithm of surface pressure 153: - swhr - Short-wave heating rate 154: - lwhr - Long-wave heating rate 155: - d - Divergence 156: - gh - Geopotential height 157: - r - Relative humidity 158: - tsp - Tendency of surface pressure 159: - blh - Boundary layer height 160: - sdor - Standard deviation of sub-gridscale orography 161: - isor - Anisotropy of sub-gridscale orography 162: - anor - Angle of sub-gridscale orography 163: - slor - Slope of sub-gridscale orography 164: - tcc - Total cloud cover 165: - 10u - 10 metre U wind component 166: - 10v - 10 metre V wind component 167: - 2t - 2 metre temperature 168: - 2d - 2 metre dewpoint temperature 169: - ssrd - Surface short-wave (solar) radiation downwards 170: - stl2 - Soil temperature level 2 171: - swl2 - Soil wetness level 2 172: - lsm - Land-sea mask 173: - sr - Surface roughness (climatological) 174: - al - Albedo (climatological) 175: - strd - Surface long-wave (thermal) radiation downwards 176: - ssr - Surface net short-wave (solar) radiation 177: - str - Surface net long-wave (thermal) radiation 178: - tsr - Top net short-wave (solar) radiation 179: - ttr - Top net long-wave (thermal) radiation 180: - ewss - Time-integrated eastward turbulent surface stress 181: - nsss - Time-integrated northward turbulent surface stress 182: - e - Evaporation 183: - stl3 - Soil temperature level 3 184: - swl3 - Soil wetness level 3 185: - ccc - Convective cloud cover 186: - lcc - Low cloud cover 187: - mcc - Medium cloud cover 188: - hcc - High cloud cover 189: - sund - Sunshine duration 190: - ewov - East-West component of sub-gridscale orographic variance 191: - nsov - North-South component of sub-gridscale orographic variance 192: - nwov - North-West/South-East component of sub-gridscale orographic variance 193: - neov - North-East/South-West component of sub-gridscale orographic variance 194: - btmp - Brightness temperature 195: - lgws - Eastward gravity wave surface stress 196: - mgws - Northward gravity wave surface stress 197: - gwd - Gravity wave dissipation 198: - src - Skin reservoir content 199: - veg - Vegetation fraction 200: - vso - Variance of sub-gridscale orography 201: - mx2t - Maximum temperature at 2 metres since previous post-processing 202: - mn2t - Minimum temperature at 2 metres since previous post-processing 203: - o3 - Ozone mass mixing ratio 204: - paw - Precipitation analysis weights 205: - ro - Runoff 206: - tco3 - Total column ozone 207: - 10si - 10 metre wind speed 208: - tsrc - Top net short-wave (solar) radiation, clear sky 209: - ttrc - Top net long-wave (thermal) radiation, clear sky - ttru 210: - ssrc - Surface net short-wave (solar) radiation, clear sky 211: - strc - Surface net long-wave (thermal) radiation, clear sky 212: - tisr - TOA incident short-wave (solar) radiation 213: - vimd - Vertically integrated moisture divergence 214: - dhr - Diabatic heating by radiation 215: - dhvd - Diabatic heating by vertical diffusion 216: - dhcc - Diabatic heating by cumulus convection 217: - dhlc - Diabatic heating large-scale condensation 218: - vdzw - Vertical diffusion of zonal wind 219: - vdmw - Vertical diffusion of meridional wind 220: - ewgd - East-West gravity wave drag tendency 221: - nsgd - North-South gravity wave drag tendency 222: - ctzw - Convective tendency of zonal wind 223: - ctmw - Convective tendency of meridional wind 224: - vdh - Vertical diffusion of humidity 225: - htcc - Humidity tendency by cumulus convection 226: - htlc - Humidity tendency by large-scale condensation 227: - crnh - Tendency due to removal of negative humidity 228: - tp - Total precipitation 229: - iews - Instantaneous eastward turbulent surface stress 230: - inss - Instantaneous northward turbulent surface stress 231: - ishf - Instantaneous surface sensible heat net flux 232: - ie - Instantaneous moisture flux 233: - asq - Apparent surface humidity 234: - lsrh - Logarithm of surface roughness length for heat (climatological) 235: - skt - Skin temperature 236: - stl4 - Soil temperature level 4 237: - swl4 - Soil wetness level 4 238: - tsn - Temperature of snow layer 239: - csf - Convective snowfall 240: - lsf - Large-scale snowfall 241: - acf - Accumulated cloud fraction tendency 242: - alw - Accumulated liquid water tendency 243: - fal - Forecast albedo 244: - fsr - Forecast surface roughness 245: - flsr - Forecast logarithm of surface roughness for heat 246: - clwc - Specific cloud liquid water content 247: - ciwc - Specific cloud ice water content 248: - cc - Fraction of cloud cover 249: - aiw - Accumulated ice water tendency 250: - ice - Ice age 251: - atte - Adiabatic tendency of temperature 252: - athe - Adiabatic tendency of humidity 253: - atze - Adiabatic tendency of zonal wind 254: - atmw - Adiabatic tendency of meridional wind 255: - _param_000255 - Indicates a missing value 928: - thk - thicknes 956: - thka - thicknes anomaly 999: - tc - tropical cyclone 3003: - ptend - Pressure tendency 3005: - icaht - ICAO Standard Atmosphere reference height 3008: - h - Geometrical height above ground 3009: - hstdv - Standard deviation of height 3012: - vptmp - Virtual potential temperature 3014: - papt - Pseudo-adiabatic potential temperature 3015: - tmax - Maximum temperature 3016: - tmin - Minimum temperature 3017: - dpt - Dew point temperature 3018: - depr - Dew point depression (or deficit) 3019: - lapr - Lapse rate 3020: - vis - Visibility 3021: - rdsp1 - Radar spectra (1) 3022: - rdsp2 - Radar spectra (2) 3023: - rdsp3 - Radar spectra (3) 3024: - pli - Parcel lifted index (to 500 hPa) 3025: - ta - Temperature anomaly 3026: - presa - Pressure anomaly 3027: - gpa - Geopotential height anomaly 3028: - wvsp1 - Wave spectra (1) 3029: - wvsp2 - Wave spectra (2) 3030: - wvsp3 - Wave spectra (3) 3031: - wdir - Wind direction 3037: - mntsf - Montgomery stream Function 3038: - sgcvv - Sigma coordinate vertical velocity 3041: - absv - Absolute vorticity 3042: - absd - Absolute divergence 3045: - vucsh - Vertical u-component shear 3046: - vvcsh - Vertical v-component shear 3047: - dirc - Direction of current 3048: - spc - Speed of current 3049: - ucurr - U-component of current 3050: - vcurr - V-component of current 3053: - mixr - Humidity mixing ratio 3054: - pwat - Precipitable water 3055: - vp - Vapour pressure 3056: - satd - Saturation deficit 3059: - prate - Precipitation rate 3060: - tstm - Thunderstorm probability 3062: - lsp - Large-scale precipitation 3063: - acpcp - Convective precipitation (water) 3064: - srweq - Snow fall rate water equivalent 3066: - sde - Snow depth 3067: - mld - Mixed layer depth 3068: - tthdp - Transient thermocline depth 3069: - mthd - Main thermocline depth 3070: - mtha - Main thermocline anomaly 3072: - ccc - Convective cloud cover 3073: - lcc - Low cloud cover 3074: - mcc - Medium cloud cover 3075: - hcc - High cloud cover 3077: - bli - Best lifted index (to 500 hPa) 3079: - lssf - Large scale snow 3080: - wtmp - Water temperature 3082: - dslm - Deviation of sea-level from mean 3086: - ssw - Soil moisture content 3088: - s - Salinity 3089: - den - Density 3091: - icec - Ice cover (1=ice, 0=no ice) 3092: - icetk - Ice thickness 3093: - diced - Direction of ice drift 3094: - siced - Speed of ice drift 3095: - uice - U-component of ice drift 3096: - vice - V-component of ice drift 3097: - iceg - Ice growth rate 3098: - iced - Ice divergence 3099: - snom - Snowmelt 3100: - swh - Significant height of combined wind waves and swell 3101: - mdww - Mean direction of wind waves 3102: - shww - Significant height of wind waves 3103: - mpww - Mean period of wind waves 3104: - swdir - Direction of swell waves 3105: - swell - Significant height of swell waves 3106: - swper - Mean period of swell waves 3107: - mdps - Primary wave direction 3108: - mpps - Primary wave mean period 3109: - dirsw - Secondary wave direction 3110: - swp - Secondary wave mean period 3111: - nswrs - Net short-wave radiation flux (surface) 3112: - nlwrs - Net long-wave radiation flux (surface) 3113: - nswrt - Net short-wave radiation flux(atmosph.top) 3114: - nlwrt - Net long-wave radiation flux(atmosph.top) 3115: - lwavr - Long wave radiation flux 3116: - swavr - Short wave radiation flux 3117: - grad - Global radiation flux 3119: - lwrad - Radiance (with respect to wave number) 3120: - swrad - Radiance (with respect to wave length) 3121: - lhf - Latent heat flux 3122: - shf - Sensible heat flux 3123: - bld - Boundary layer dissipation 3124: - uflx - Momentum flux, u-component 3125: - vflx - Momentum flux, v-component 3126: - wmixe - Wind mixing energy 3127: - imgd - Image data 129001: - strfgrd - Stream function gradient 129002: - vpotgrd - Velocity potential gradient 129003: - ptgrd - Potential temperature gradient 129004: - eqptgrd - Equivalent potential temperature gradient 129005: - septgrd - Saturated equivalent potential temperature gradient 129011: - udvwgrd - U component of divergent wind gradient 129012: - vdvwgrd - V component of divergent wind gradient 129013: - urtwgrd - U component of rotational wind gradient 129014: - vrtwgrd - V component of rotational wind gradient 129021: - uctpgrd - Unbalanced component of temperature gradient 129022: - uclngrd - Unbalanced component of logarithm of surface pressure gradient 129023: - ucdvgrd - Unbalanced component of divergence gradient 129024: - _param_129024 - Reserved for future unbalanced components 129025: - _param_129025 - Reserved for future unbalanced components 129026: - clgrd - Lake cover gradient 129027: - cvlgrd - Low vegetation cover gradient 129028: - cvhgrd - High vegetation cover gradient 129029: - tvlgrd - Type of low vegetation gradient 129030: - tvhgrd - Type of high vegetation gradient 129031: - sicgrd - Sea-ice cover gradient 129032: - asngrd - Snow albedo gradient 129033: - rsngrd - Snow density gradient 129034: - sstkgrd - Sea surface temperature gradient 129035: - istl1grd - Ice surface temperature layer 1 gradient 129036: - istl2grd - Ice surface temperature layer 2 gradient 129037: - istl3grd - Ice surface temperature layer 3 gradient 129038: - istl4grd - Ice surface temperature layer 4 gradient 129039: - swvl1grd - Volumetric soil water layer 1 gradient 129040: - swvl2grd - Volumetric soil water layer 2 gradient 129041: - swvl3grd - Volumetric soil water layer 3 gradient 129042: - swvl4grd - Volumetric soil water layer 4 gradient 129043: - sltgrd - Soil type gradient 129044: - esgrd - Snow evaporation gradient 129045: - smltgrd - Snowmelt gradient 129046: - sdurgrd - Solar duration gradient 129047: - dsrpgrd - Direct solar radiation gradient 129048: - magssgrd - Magnitude of turbulent surface stress gradient 129049: - 10fggrd - 10 metre wind gust gradient 129050: - lspfgrd - Large-scale precipitation fraction gradient 129051: - mx2t24grd - Maximum 2 metre temperature gradient 129052: - mn2t24grd - Minimum 2 metre temperature gradient 129053: - montgrd - Montgomery potential gradient 129054: - presgrd - Pressure gradient 129055: - mean2t24grd - Mean 2 metre temperature in the last 24 hours gradient 129056: - mn2d24grd - Mean 2 metre dewpoint temperature in the last 24 hours gradient 129057: - uvbgrd - Downward UV radiation at the surface gradient 129058: - pargrd - Photosynthetically active radiation at the surface gradient 129059: - capegrd - Convective available potential energy gradient 129060: - pvgrd - Potential vorticity gradient 129061: - tpogrd - Total precipitation from observations gradient 129062: - obctgrd - Observation count gradient 129063: - _param_129063 - Start time for skin temperature difference 129064: - _param_129064 - Finish time for skin temperature difference 129065: - _param_129065 - Skin temperature difference 129066: - _param_129066 - Leaf area index, low vegetation 129067: - _param_129067 - Leaf area index, high vegetation 129070: - _param_129070 - Biome cover, low vegetation 129071: - _param_129071 - Biome cover, high vegetation 129078: - _param_129078 - Total column liquid water 129079: - _param_129079 - Total column ice water 129080: - _param_129080 - Experimental product 129081: - _param_129081 - Experimental product 129082: - _param_129082 - Experimental product 129083: - _param_129083 - Experimental product 129084: - _param_129084 - Experimental product 129085: - _param_129085 - Experimental product 129086: - _param_129086 - Experimental product 129087: - _param_129087 - Experimental product 129088: - _param_129088 - Experimental product 129089: - _param_129089 - Experimental product 129090: - _param_129090 - Experimental product 129091: - _param_129091 - Experimental product 129092: - _param_129092 - Experimental product 129093: - _param_129093 - Experimental product 129094: - _param_129094 - Experimental product 129095: - _param_129095 - Experimental product 129096: - _param_129096 - Experimental product 129097: - _param_129097 - Experimental product 129098: - _param_129098 - Experimental product 129099: - _param_129099 - Experimental product 129100: - _param_129100 - Experimental product 129101: - _param_129101 - Experimental product 129102: - _param_129102 - Experimental product 129103: - _param_129103 - Experimental product 129104: - _param_129104 - Experimental product 129105: - _param_129105 - Experimental product 129106: - _param_129106 - Experimental product 129107: - _param_129107 - Experimental product 129108: - _param_129108 - Experimental product 129109: - _param_129109 - Experimental product 129110: - _param_129110 - Experimental product 129111: - _param_129111 - Experimental product 129112: - _param_129112 - Experimental product 129113: - _param_129113 - Experimental product 129114: - _param_129114 - Experimental product 129115: - _param_129115 - Experimental product 129116: - _param_129116 - Experimental product 129117: - _param_129117 - Experimental product 129118: - _param_129118 - Experimental product 129119: - _param_129119 - Experimental product 129120: - _param_129120 - Experimental product 129121: - mx2t6grd - Maximum temperature at 2 metres gradient 129122: - mn2t6grd - Minimum temperature at 2 metres gradient 129123: - 10fg6grd - 10 metre wind gust in the last 6 hours gradient 129125: - _param_129125 - Vertically integrated total energy 129126: - _param_129126 - Generic parameter for sensitive area prediction 129127: - atgrd - Atmospheric tide gradient 129128: - bvgrd - Budget values gradient 129129: - zgrd - Geopotential gradient 129130: - tgrd - Temperature gradient 129131: - ugrd - U component of wind gradient 129132: - vgrd - V component of wind gradient 129133: - qgrd - Specific humidity gradient 129134: - spgrd - Surface pressure gradient 129135: - wgrd - vertical velocity (pressure) gradient 129136: - tcwgrd - Total column water gradient 129137: - tcwvgrd - Total column water vapour gradient 129138: - vogrd - Vorticity (relative) gradient 129139: - stl1grd - Soil temperature level 1 gradient 129140: - swl1grd - Soil wetness level 1 gradient 129141: - sdgrd - Snow depth gradient 129142: - lspgrd - Stratiform precipitation (Large-scale precipitation) gradient 129143: - cpgrd - Convective precipitation gradient 129144: - sfgrd - Snowfall (convective + stratiform) gradient 129145: - bldgrd - Boundary layer dissipation gradient 129146: - sshfgrd - Surface sensible heat flux gradient 129147: - slhfgrd - Surface latent heat flux gradient 129148: - chnkgrd - Charnock gradient 129149: - snrgrd - Surface net radiation gradient 129150: - tnrgrd - Top net radiation gradient 129151: - mslgrd - Mean sea level pressure gradient 129152: - lnspgrd - Logarithm of surface pressure gradient 129153: - swhrgrd - Short-wave heating rate gradient 129154: - lwhrgrd - Long-wave heating rate gradient 129155: - dgrd - Divergence gradient 129156: - ghgrd - Height gradient 129157: - rgrd - Relative humidity gradient 129158: - tspgrd - Tendency of surface pressure gradient 129159: - blhgrd - Boundary layer height gradient 129160: - sdorgrd - Standard deviation of orography gradient 129161: - isorgrd - Anisotropy of sub-gridscale orography gradient 129162: - anorgrd - Angle of sub-gridscale orography gradient 129163: - slorgrd - Slope of sub-gridscale orography gradient 129164: - tccgrd - Total cloud cover gradient 129165: - 10ugrd - 10 metre U wind component gradient 129166: - 10vgrd - 10 metre V wind component gradient 129167: - 2tgrd - 2 metre temperature gradient 129168: - 2dgrd - 2 metre dewpoint temperature gradient 129169: - ssrdgrd - Surface solar radiation downwards gradient 129170: - stl2grd - Soil temperature level 2 gradient 129171: - swl2grd - Soil wetness level 2 gradient 129172: - lsmgrd - Land-sea mask gradient 129173: - srgrd - Surface roughness gradient 129174: - algrd - Albedo gradient 129175: - strdgrd - Surface thermal radiation downwards gradient 129176: - ssrgrd - Surface net solar radiation gradient 129177: - strgrd - Surface net thermal radiation gradient 129178: - tsrgrd - Top net solar radiation gradient 129179: - ttrgrd - Top net thermal radiation gradient 129180: - ewssgrd - East-West surface stress gradient 129181: - nsssgrd - North-South surface stress gradient 129182: - egrd - Evaporation gradient 129183: - stl3grd - Soil temperature level 3 gradient 129184: - swl3grd - Soil wetness level 3 gradient 129185: - cccgrd - Convective cloud cover gradient 129186: - lccgrd - Low cloud cover gradient 129187: - mccgrd - Medium cloud cover gradient 129188: - hccgrd - High cloud cover gradient 129189: - sundgrd - Sunshine duration gradient 129190: - ewovgrd - East-West component of sub-gridscale orographic variance gradient 129191: - nsovgrd - North-South component of sub-gridscale orographic variance gradient 129192: - nwovgrd - North-West/South-East component of sub-gridscale orographic variance gradient 129193: - neovgrd - North-East/South-West component of sub-gridscale orographic variance gradient 129194: - btmpgrd - Brightness temperature gradient 129195: - lgwsgrd - Longitudinal component of gravity wave stress gradient 129196: - mgwsgrd - Meridional component of gravity wave stress gradient 129197: - gwdgrd - Gravity wave dissipation gradient 129198: - srcgrd - Skin reservoir content gradient 129199: - veggrd - Vegetation fraction gradient 129200: - vsogrd - Variance of sub-gridscale orography gradient 129201: - mx2tgrd - Maximum temperature at 2 metres since previous post-processing gradient 129202: - mn2tgrd - Minimum temperature at 2 metres since previous post-processing gradient 129203: - o3grd - Ozone mass mixing ratio gradient 129204: - pawgrd - Precipitation analysis weights gradient 129205: - rogrd - Runoff gradient 129206: - tco3grd - Total column ozone gradient 129207: - 10sigrd - 10 metre wind speed gradient 129208: - tsrcgrd - Top net solar radiation, clear sky gradient 129209: - ttrcgrd - Top net thermal radiation, clear sky gradient 129210: - ssrcgrd - Surface net solar radiation, clear sky gradient 129211: - strcgrd - Surface net thermal radiation, clear sky gradient 129212: - tisrgrd - TOA incident solar radiation gradient 129214: - dhrgrd - Diabatic heating by radiation gradient 129215: - dhvdgrd - Diabatic heating by vertical diffusion gradient 129216: - dhccgrd - Diabatic heating by cumulus convection gradient 129217: - dhlcgrd - Diabatic heating large-scale condensation gradient 129218: - vdzwgrd - Vertical diffusion of zonal wind gradient 129219: - vdmwgrd - Vertical diffusion of meridional wind gradient 129220: - ewgdgrd - East-West gravity wave drag tendency gradient 129221: - nsgdgrd - North-South gravity wave drag tendency gradient 129222: - ctzwgrd - Convective tendency of zonal wind gradient 129223: - ctmwgrd - Convective tendency of meridional wind gradient 129224: - vdhgrd - Vertical diffusion of humidity gradient 129225: - htccgrd - Humidity tendency by cumulus convection gradient 129226: - htlcgrd - Humidity tendency by large-scale condensation gradient 129227: - crnhgrd - Change from removal of negative humidity gradient 129228: - tpgrd - Total precipitation gradient 129229: - iewsgrd - Instantaneous X surface stress gradient 129230: - inssgrd - Instantaneous Y surface stress gradient 129231: - ishfgrd - Instantaneous surface heat flux gradient 129232: - iegrd - Instantaneous moisture flux gradient 129233: - asqgrd - Apparent surface humidity gradient 129234: - lsrhgrd - Logarithm of surface roughness length for heat gradient 129235: - sktgrd - Skin temperature gradient 129236: - stl4grd - Soil temperature level 4 gradient 129237: - swl4grd - Soil wetness level 4 gradient 129238: - tsngrd - Temperature of snow layer gradient 129239: - csfgrd - Convective snowfall gradient 129240: - lsfgrd - Large scale snowfall gradient 129241: - acfgrd - Accumulated cloud fraction tendency gradient 129242: - alwgrd - Accumulated liquid water tendency gradient 129243: - falgrd - Forecast albedo gradient 129244: - fsrgrd - Forecast surface roughness gradient 129245: - flsrgrd - Forecast logarithm of surface roughness for heat gradient 129246: - clwcgrd - Specific cloud liquid water content gradient 129247: - ciwcgrd - Specific cloud ice water content gradient 129248: - ccgrd - Cloud cover gradient 129249: - aiwgrd - Accumulated ice water tendency gradient 129250: - icegrd - Ice age gradient 129251: - attegrd - Adiabatic tendency of temperature gradient 129252: - athegrd - Adiabatic tendency of humidity gradient 129253: - atzegrd - Adiabatic tendency of zonal wind gradient 129254: - atmwgrd - Adiabatic tendency of meridional wind gradient 129255: - _param_129255 - Indicates a missing value 130208: - tsru - Top solar radiation upward 130209: - ttru - Top thermal radiation upward 130210: - tsuc - Top solar radiation upward, clear sky 130211: - ttuc - Top thermal radiation upward, clear sky 130212: - clw - Cloud liquid water 130213: - cf - Cloud fraction 130214: - dhr - Diabatic heating by radiation 130215: - dhvd - Diabatic heating by vertical diffusion 130216: - dhcc - Diabatic heating by cumulus convection 130217: - dhlc - Diabatic heating by large-scale condensation 130218: - vdzw - Vertical diffusion of zonal wind 130219: - vdmw - Vertical diffusion of meridional wind 130220: - ewgd - East-West gravity wave drag 130221: - nsgd - North-South gravity wave drag 130224: - vdh - Vertical diffusion of humidity 130225: - htcc - Humidity tendency by cumulus convection 130226: - htlc - Humidity tendency by large-scale condensation 130228: - att - Adiabatic tendency of temperature 130229: - ath - Adiabatic tendency of humidity 130230: - atzw - Adiabatic tendency of zonal wind 130231: - atmwax - Adiabatic tendency of meridional wind 130232: - mvv - Mean vertical velocity 131001: - 2tag2 - 2m temperature anomaly of at least +2K 131002: - 2tag1 - 2m temperature anomaly of at least +1K 131003: - 2tag0 - 2m temperature anomaly of at least 0K 131004: - 2talm1 - 2m temperature anomaly of at most -1K 131005: - 2talm2 - 2m temperature anomaly of at most -2K 131006: - tpag20 - Total precipitation anomaly of at least 20 mm 131007: - tpag10 - Total precipitation anomaly of at least 10 mm 131008: - tpag0 - Total precipitation anomaly of at least 0 mm 131009: - stag0 - Surface temperature anomaly of at least 0K 131010: - mslag0 - Mean sea level pressure anomaly of at least 0 Pa 131015: - h0dip - Height of 0 degree isotherm probability 131016: - hslp - Height of snowfall limit probability 131017: - saip - Showalter index probability 131018: - whip - Whiting index probability 131020: - talm2 - Temperature anomaly less than -2 K - temperature anomaly of at most -2 k 131021: - tag2 - Temperature anomaly of at least +2 K - temperature anomaly of at least 2 k 131022: - talm8 - Temperature anomaly less than -8 K - temperature anomaly of at most -8 k 131023: - talm4 - Temperature anomaly less than -4 K - temperature anomaly of at most -4 k 131024: - tag4 - Temperature anomaly greater than +4 K - temperature anomaly greater than 4 k - temperature anomaly of at least 4 k 131025: - tag8 - Temperature anomaly greater than +8 K - temperature anomaly greater than 8 k - temperature anomaly of at least 8 k 131049: - 10gp - 10 metre wind gust probability 131059: - capep - Convective available potential energy probability 131060: - tpg1 - Total precipitation of at least 1 mm 131061: - tpg5 - Total precipitation of at least 5 mm 131062: - tpg10 - Total precipitation of at least 10 mm 131063: - tpg20 - Total precipitation of at least 20 mm 131064: - tpl01 - Total precipitation less than 0.1 mm 131065: - tprl1 - Total precipitation rate less than 1 mm/day 131066: - tprg3 - Total precipitation rate of at least 3 mm/day 131067: - tprg5 - Total precipitation rate of at least 5 mm/day 131068: - 10spg10 - 10 metre Wind speed of at least 10 m/s 131069: - 10spg15 - 10 metre Wind speed of at least 15 m/s 131070: - 10fgg15 - 10 metre wind gust of at least 15 m/s 131071: - 10fgg20 - 10 metre wind gust of at least 20 m/s 131072: - 10fgg25 - 10 metre wind gust of at least 25 m/s 131073: - 2tl273 - 2 metre temperature less than 273.15 K 131074: - swhg2 - Significant wave height of at least 2 m 131075: - swhg4 - Significant wave height of at least 4 m 131076: - swhg6 - Significant wave height of at least 6 m 131077: - swhg8 - Significant wave height of at least 8 m 131078: - mwpg8 - Mean wave period of at least 8 s 131079: - mwpg10 - Mean wave period of at least 10 s 131080: - mwpg12 - Mean wave period of at least 12 s 131081: - mwpg15 - Mean wave period of at least 15 s 131082: - tpg40 - Total precipitation of at least 40 mm 131083: - tpg60 - Total precipitation of at least 60 mm 131084: - tpg80 - Total precipitation of at least 80 mm 131085: - tpg100 - Total precipitation of at least 100 mm 131086: - tpg150 - Total precipitation of at least 150 mm 131087: - tpg200 - Total precipitation of at least 200 mm 131088: - tpg300 - Total precipitation of at least 300 mm 131089: - pts - Probability of a tropical storm 131090: - ph - Probability of a hurricane 131091: - ptd - Probability of a tropical depression 131092: - cpts - Climatological probability of a tropical storm 131093: - cph - Climatological probability of a hurricane 131094: - cptd - Climatological probability of a tropical depression 131095: - pats - Probability anomaly of a tropical storm 131096: - pah - Probability anomaly of a hurricane 131097: - patd - Probability anomaly of a tropical depression 131098: - tpg25 - Total precipitation of at least 25 mm 131099: - tpg50 - Total precipitation of at least 50 mm 131100: - 10fgg10 - 10 metre wind gust of at least 10 m/s 131129: - zp - Geopotential probability 131130: - tap - Temperature anomaly probability 131139: - stl1p - Soil temperature level 1 probability 131144: - sfp - Snowfall (convective + stratiform) probability 131151: - mslpp - Mean sea level pressure probability 131164: - tccp - Total cloud cover probability 131165: - 10sp - 10 metre speed probability 131167: - 2tp - 2 metre temperature probability 131201: - mx2tp - Maximum 2 metre temperature probability 131202: - mn2tp - Minimum 2 metre temperature probability 131228: - tpp - Total precipitation probability 131229: - swhp - Significant wave height probability 131232: - mwpp - Mean wave period probability 131255: - _param_131255 - Indicates a missing value 131256: - 10cogug25 - 10 metre convective gust of at least 25 m/s 131257: - hlg2 - Hail of at least 2 cm diameter 131258: - hlg5 - Hail of at least 5 cm diameter 131259: - tsprb - Thunderstorm in vicinity (lightning-based) 132044: - capesi - Convective available potential energy shear index 132045: - wvfi - Water vapour flux index 132049: - 10fgi - 10 metre wind gust index - 10gi 132059: - capei - Convective available potential energy index 132144: - sfi - Snowfall index 132165: - 10wsi - 10 metre speed index 132167: - 2ti - 2 metre temperature index 132201: - mx2ti - Maximum temperature at 2 metres index 132202: - mn2ti - Minimum temperature at 2 metres index 132216: - maxswhi - Maximum of significant wave height index 132228: - tpi - Total precipitation index 133001: - 2tplm10 - 2m temperature probability less than -10 C 133002: - 2tplm5 - 2m temperature probability less than -5 C 133003: - 2tpl0 - 2m temperature probability less than 0 C 133004: - 2tpl5 - 2m temperature probability less than 5 C 133005: - 2tpl10 - 2m temperature probability less than 10 C 133006: - 2tpg25 - 2m temperature probability greater than 25 C 133007: - 2tpg30 - 2m temperature probability greater than 30 C 133008: - 2tpg35 - 2m temperature probability greater than 35 C 133009: - 2tpg40 - 2m temperature probability greater than 40 C 133010: - 2tpg45 - 2m temperature probability greater than 45 C 133011: - mn2tplm10 - Minimum 2 metre temperature probability less than -10 C 133012: - mn2tplm5 - Minimum 2 metre temperature probability less than -5 C 133013: - mn2tpl0 - Minimum 2 metre temperature probability less than 0 C 133014: - mn2tpl5 - Minimum 2 metre temperature probability less than 5 C 133015: - mn2tpl10 - Minimum 2 metre temperature probability less than 10 C 133016: - mx2tpg25 - Maximum 2 metre temperature probability greater than 25 C 133017: - mx2tpg30 - Maximum 2 metre temperature probability greater than 30 C 133018: - mx2tpg35 - Maximum 2 metre temperature probability greater than 35 C 133019: - mx2tpg40 - Maximum 2 metre temperature probability greater than 40 C 133020: - mx2tpg45 - Maximum 2 metre temperature probability greater than 45 C 133021: - 10spg10 - 10 metre wind speed probability of at least 10 m/s 133022: - 10spg15 - 10 metre wind speed probability of at least 15 m/s 133023: - 10spg20 - 10 metre wind speed probability of at least 20 m/s 133024: - 10spg35 - 10 metre wind speed probability of at least 35 m/s 133025: - 10spg50 - 10 metre wind speed probability of at least 50 m/s 133026: - 10gpg20 - 10 metre wind gust probability of at least 20 m/s 133027: - 10gpg35 - 10 metre wind gust probability of at least 35 m/s 133028: - 10gpg50 - 10 metre wind gust probability of at least 50 m/s 133029: - 10gpg75 - 10 metre wind gust probability of at least 75 m/s 133030: - 10gpg100 - 10 metre wind gust probability of at least 100 m/s 133031: - tppg1 - Total precipitation probability of at least 1 mm 133032: - tppg5 - Total precipitation probability of at least 5 mm 133033: - tppg10 - Total precipitation probability of at least 10 mm 133034: - tppg20 - Total precipitation probability of at least 20 mm 133035: - tppg40 - Total precipitation probability of at least 40 mm 133036: - tppg60 - Total precipitation probability of at least 60 mm 133037: - tppg80 - Total precipitation probability of at least 80 mm 133038: - tppg100 - Total precipitation probability of at least 100 mm 133039: - tppg150 - Total precipitation probability of at least 150 mm 133040: - tppg200 - Total precipitation probability of at least 200 mm 133041: - tppg300 - Total precipitation probability of at least 300 mm 133042: - sfpg1 - Snowfall probability of at least 1 mm 133043: - sfpg5 - Snowfall probability of at least 5 mm 133044: - sfpg10 - Snowfall probability of at least 10 mm 133045: - sfpg20 - Snowfall probability of at least 20 mm 133046: - sfpg40 - Snowfall probability of at least 40 mm 133047: - sfpg60 - Snowfall probability of at least 60 mm 133048: - sfpg80 - Snowfall probability of at least 80 mm 133049: - sfpg100 - Snowfall probability of at least 100 mm 133050: - sfpg150 - Snowfall probability of at least 150 mm 133051: - sfpg200 - Snowfall probability of at least 200 mm 133052: - sfpg300 - Snowfall probability of at least 300 mm 133053: - tccpg10 - Total Cloud Cover probability greater than 10% 133054: - tccpg20 - Total Cloud Cover probability greater than 20% 133055: - tccpg30 - Total Cloud Cover probability greater than 30% 133056: - tccpg40 - Total Cloud Cover probability greater than 40% 133057: - tccpg50 - Total Cloud Cover probability greater than 50% 133058: - tccpg60 - Total Cloud Cover probability greater than 60% 133059: - tccpg70 - Total Cloud Cover probability greater than 70% 133060: - tccpg80 - Total Cloud Cover probability greater than 80% 133061: - tccpg90 - Total Cloud Cover probability greater than 90% 133062: - tccpg99 - Total Cloud Cover probability greater than 99% 133063: - hccpg10 - High Cloud Cover probability greater than 10% 133064: - hccpg20 - High Cloud Cover probability greater than 20% 133065: - hccpg30 - High Cloud Cover probability greater than 30% 133066: - hccpg40 - High Cloud Cover probability greater than 40% 133067: - hccpg50 - High Cloud Cover probability greater than 50% 133068: - hccpg60 - High Cloud Cover probability greater than 60% 133069: - hccpg70 - High Cloud Cover probability greater than 70% 133070: - hccpg80 - High Cloud Cover probability greater than 80% 133071: - hccpg90 - High Cloud Cover probability greater than 90% 133072: - hccpg99 - High Cloud Cover probability greater than 99% 133073: - mccpg10 - Medium Cloud Cover probability greater than 10% 133074: - mccpg20 - Medium Cloud Cover probability greater than 20% 133075: - mccpg30 - Medium Cloud Cover probability greater than 30% 133076: - mccpg40 - Medium Cloud Cover probability greater than 40% 133077: - mccpg50 - Medium Cloud Cover probability greater than 50% 133078: - mccpg60 - Medium Cloud Cover probability greater than 60% 133079: - mccpg70 - Medium Cloud Cover probability greater than 70% 133080: - mccpg80 - Medium Cloud Cover probability greater than 80% 133081: - mccpg90 - Medium Cloud Cover probability greater than 90% 133082: - mccpg99 - Medium Cloud Cover probability greater than 99% 133083: - lccpg10 - Low Cloud Cover probability greater than 10% 133084: - lccpg20 - Low Cloud Cover probability greater than 20% 133085: - lccpg30 - Low Cloud Cover probability greater than 30% 133086: - lccpg40 - Low Cloud Cover probability greater than 40% 133087: - lccpg50 - Low Cloud Cover probability greater than 50% 133088: - lccpg60 - Low Cloud Cover probability greater than 60% 133089: - lccpg70 - Low Cloud Cover probability greater than 70% 133090: - lccpg80 - Low Cloud Cover probability greater than 80% 133091: - lccpg90 - Low Cloud Cover probability greater than 90% 133092: - lccpg99 - Low Cloud Cover probability greater than 99% 133093: - ptsa_gt_1stdev - Probability of temperature standardized anomaly greater than 1 standard deviation 133094: - ptsa_gt_1p5stdev - Probability of temperature standardized anomaly greater than 1.5 standard deviation 133095: - ptsa_gt_2stdev - Probability of temperature standardized anomaly greater than 2 standard deviation 133096: - ptsa_lt_1stdev - Probability of temperature standardized anomaly less than -1 standard deviation 133097: - ptsa_lt_1p5stdev - Probability of temperature standardized anomaly less than -1.5 standard deviation 133098: - ptsa_lt_2stdev - Probability of temperature standardized anomaly less than -2 standard deviation 140080: - wx1 - Wave experimental parameter 1 140081: - wx2 - Wave experimental parameter 2 140082: - wx3 - Wave experimental parameter 3 140083: - wx4 - Wave experimental parameter 4 140084: - wx5 - Wave experimental parameter 5 140098: - weta - Wave induced mean sea level correction 140099: - wraf - Ratio of wave angular and frequency width 140100: - wnslc - Number of events in freak waves statistics 140101: - utaua - U-component of atmospheric surface momentum flux 140102: - vtaua - V-component of atmospheric surface momentum flux 140103: - utauo - U-component of surface momentum flux into ocean 140104: - vtauo - V-component of surface momentum flux into ocean 140105: - wphio - Wave turbulent energy flux into ocean 140106: - wdw1 - Wave directional width of first swell partition 140107: - wfw1 - Wave frequency width of first swell partition 140108: - wdw2 - Wave directional width of second swell partition 140109: - wfw2 - Wave frequency width of second swell partition 140110: - wdw3 - Wave directional width of third swell partition 140111: - wfw3 - Wave frequency width of third swell partition 140112: - wefxm - Wave energy flux magnitude 140113: - wefxd - Wave energy flux mean direction 140114: - h1012 - Significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds 140115: - h1214 - Significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds 140116: - h1417 - Significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds 140117: - h1721 - Significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds 140118: - h2125 - Significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds 140119: - h2530 - Significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds 140120: - sh10 - Significant wave height of all waves with period larger than 10s 140121: - swh1 - Significant wave height of first swell partition 140122: - mwd1 - Mean wave direction of first swell partition 140123: - mwp1 - Mean wave period of first swell partition 140124: - swh2 - Significant wave height of second swell partition 140125: - mwd2 - Mean wave direction of second swell partition 140126: - mwp2 - Mean wave period of second swell partition 140127: - swh3 - Significant wave height of third swell partition 140128: - mwd3 - Mean wave direction of third swell partition 140129: - mwp3 - Mean wave period of third swell partition 140131: - tdcmax - Time domain maximum individual crest height 140132: - tdhmax - Time domain maximum individual wave height 140133: - stcmax - Space time maximum individual crest height 140134: - sthmax - Space time maximum individual wave height 140135: - pp1dw - Peak wave period of wind waves 140136: - pp1ds - Peak wave period of total swell 140137: - pp1d1 - Peak wave period of first swell partition 140138: - pp1d2 - Peak wave period of second swell partition 140139: - pp1d3 - Peak wave period of third swell partition 140140: - pwd - Peak wave direction (total) 140141: - pwdw - Peak wave direction of wind waves 140142: - pwds - Peak wave direction of total swell 140143: - pwd1 - Peak wave direction of first swell partition 140144: - pwd2 - Peak wave direction of second swell partition 140145: - pwd3 - Peak wave direction of third swell partition 140146: - wcfr - Whitecap fraction 140147: - bfi2d - Benjamin-Feir index 2D 140148: - ctc - Crest-trough correlation 140149: - xwrs - X component of the wave radiative stress to sea ice 140150: - ywrs - Y component of the wave radiative stress to sea ice 140200: - maxswh - Maximum of significant wave height 140207: - wss - Wave Spectral Skewness 140208: - wstar - Free convective velocity over the oceans 140209: - rhoao - Air density over the oceans 140210: - mswsi - Mean square wave strain in sea ice 140211: - phiaw - Normalized energy flux into waves 140212: - phioc - Normalized energy flux into ocean 140213: - tla - Turbulent Langmuir number 140214: - tauoc - Normalized stress into ocean 140215: - ust - U-component surface stokes drift 140216: - vst - V-component surface stokes drift 140217: - tmax - Period corresponding to maximum individual wave height 140218: - hmax - Envelop-maximum individual wave height 140219: - wmb - Model bathymetry 140220: - mp1 - Mean wave period based on first moment 140221: - mp2 - Mean zero-crossing wave period 140222: - wdw - Wave spectral directional width 140223: - p1ww - Mean wave period based on first moment for wind waves 140224: - p2ww - Mean wave period based on second moment for wind waves 140225: - dwww - Wave spectral directional width for wind waves 140226: - p1ps - Mean wave period based on first moment for swell 140227: - p2ps - Mean wave period based on second moment for swell 140228: - dwps - Wave spectral directional width for swell 140229: - swh - Significant height of combined wind waves and swell 140230: - mwd - Mean wave direction 140231: - pp1d - Peak wave period 140232: - mwp - Mean wave period 140233: - cdww - Coefficient of drag with waves 140234: - shww - Significant height of wind waves 140235: - mdww - Mean direction of wind waves 140236: - mpww - Mean period of wind waves 140237: - shts - Significant height of total swell 140238: - mdts - Mean direction of total swell 140239: - mpts - Mean period of total swell 140240: - sdhs - Standard deviation wave height 140241: - mu10 - Mean of 10 metre wind speed 140242: - mdwi - Mean wind direction 140243: - sdu - Standard deviation of 10 metre wind speed 140244: - msqs - Mean square slope of waves 140245: - wind - 10 metre wind speed 140246: - awh - Altimeter wave height 140247: - acwh - Altimeter corrected wave height 140248: - arrc - Altimeter range relative correction 140249: - dwi - 10 metre wind direction 140250: - 2dsp - 2D wave spectra (multiple) 140251: - 2dfd - 2D wave spectra (single) 140252: - wsk - Wave spectral kurtosis 140253: - bfi - Benjamin-Feir index 140254: - wsp - Wave spectral peakedness 140255: - _param_140255 - Indicates a missing value 141098: - avg_weta - Time-mean wave induced mean sea level correction 141099: - avg_wraf - Time-mean ratio of wave angular and frequency width 141100: - avg_wnslc - Time-mean number of events in freak waves statistics 141101: - avg_utaua - Time-mean U-component of atmospheric surface momentum flux 141102: - avg_vtaua - Time-mean V-component of atmospheric surface momentum flux 141103: - avg_utauo - Time-mean U-component of surface momentum flux into ocean 141104: - avg_vtauo - Time-mean V-component of surface momentum flux into ocean 141105: - avg_wphio - Time-mean wave turbulent energy flux into ocean 141106: - avg_wdw1 - Time-mean wave directional width of first swell partition 141107: - avg_wfw1 - Time-mean wave frequency width of first swell partition 141108: - avg_wdw2 - Time-mean wave directional width of second swell partition 141109: - avg_wfw2 - Time-mean wave frequency width of second swell partition 141110: - avg_wdw3 - Time-mean wave directional width of third swell partition 141111: - avg_wfw3 - Time-mean wave frequency width of third swell partition 141112: - avg_wefxm - Time-mean wave energy flux magnitude 141113: - avg_wefxd - Time-mean wave energy flux mean direction 141114: - avg_h1012 - Time-mean significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds 141115: - avg_h1214 - Time-mean significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds 141116: - avg_h1417 - Time-mean significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds 141117: - avg_h1721 - Time-mean significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds 141118: - avg_h2125 - Time-mean significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds 141119: - avg_h2530 - Time-mean significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds 141120: - avg_sh10 - Time-mean significant wave height of all waves with period larger than 10s 141121: - avg_swh1 - Time-mean significant wave height of first swell partition 141122: - avg_mwd1 - Time-mean mean wave direction of first swell partition 141123: - avg_mwp1 - Time-mean mean wave period of first swell partition 141124: - avg_swh2 - Time-mean significant wave height of second swell partition 141125: - avg_mwd2 - Time-mean mean wave direction of second swell partition 141126: - avg_mwp2 - Time-mean mean wave period of second swell partition 141127: - avg_swh3 - Time-mean significant wave height of third swell partition 141128: - avg_mwd3 - Time-mean mean wave direction of third swell partition 141129: - avg_mwp3 - Time-mean mean wave period of third swell partition 141131: - avg_tdcmax - Time-mean time domain maximum individual crest height 141132: - avg_tdhmax - Time-mean time domain maximum individual wave height 141133: - avg_stcmax - Time-mean space time maximum individual crest height 141134: - avg_sthmax - Time-mean space time maximum individual wave height 141135: - avg_pp1dw - Time-mean peak wave period of wind waves 141136: - avg_pp1ds - Time-mean peak wave period of total swell 141137: - avg_pp1d1 - Time-mean peak wave period of first swell partition 141138: - avg_pp1d2 - Time-mean peak wave period of second swell partition 141139: - avg_pp1d3 - Time-mean peak wave period of third swell partition 141140: - avg_pwd - Time-mean peak wave direction (total) 141141: - avg_pwdw - Time-mean peak wave direction of wind waves 141142: - avg_pwds - Time-mean peak wave direction of total swell 141143: - avg_pwd1 - Time-mean peak wave direction of first swell partition 141144: - avg_pwd2 - Time-mean peak wave direction of second swell partition 141145: - avg_pwd3 - Time-mean peak wave direction of third swell partition 141146: - avg_wcfr - Time-mean whitecap fraction 141147: - avg_bfi2d - Time-mean Benjamin-Feir index 2D 141148: - avg_ctc - Time-mean crest-trough correlation 141149: - avg_xwrs - Time-mean X component of the wave radiative stress to sea ice 141150: - avg_ywrs - Time-mean Y component of the wave radiative stress to sea ice 141207: - avg_wss - Time-mean wave Spectral Skewness 141208: - avg_wstar - Time-mean free convective velocity over the oceans 141209: - avg_rhoao - Time-mean air density over the oceans 141211: - avg_phiaw - Time-mean normalized energy flux into waves 141212: - avg_phioc - Time-mean normalized energy flux into ocean 141214: - avg_tauoc - Time-mean normalized stress into ocean 141215: - avg_ust - Time-mean U-component surface stokes drift 141216: - avg_vst - Time-mean V-component surface stokes drift 141217: - avg_tmax - Time-mean period corresponding to maximum individual wave height 141218: - avg_hmax - Time-mean envelop-maximum individual wave height 141220: - avg_mp1 - Time-mean mean wave period based on first moment 141221: - avg_mp2 - Time-mean mean zero-crossing wave period 141222: - avg_wdw - Time-mean wave spectral directional width 141223: - avg_p1ww - Time-mean mean wave period based on first moment for wind waves 141224: - avg_p2ww - Time-mean mean wave period based on second moment for wind waves 141225: - avg_dwww - Time-mean wave spectral directional width for wind waves 141226: - avg_p1ps - Time-mean mean wave period based on first moment for swell 141227: - avg_p2ps - Time-mean mean wave period based on second moment for swell 141228: - avg_dwps - Time-mean wave spectral directional width for swell 141229: - avg_swh - Time-mean significant height of combined wind waves and swell 141230: - avg_mwd - Time-mean mean wave direction 141231: - avg_pp1d - Time-mean peak wave period 141232: - avg_mwp - Time-mean mean wave period 141233: - avg_cdww - Time-mean coefficient of drag with waves 141234: - avg_shww - Time-mean significant height of wind waves 141235: - avg_mdww - Time-mean mean direction of wind waves 141236: - avg_mpww - Time-mean mean period of wind waves 141237: - avg_shts - Time-mean significant height of total swell 141238: - avg_mdts - Time-mean mean direction of total swell 141239: - avg_mpts - Time-mean mean period of total swell 141244: - avg_msqs - Time-mean mean square slope of waves 141245: - avg_wind - Time-mean 10 metre wind speed 141249: - avg_dwi - Time-mean 10 metre wind direction 141252: - avg_wsk - Time-mean wave spectral kurtosis 141253: - avg_bfi - Time-mean benjamin-Feir index 141254: - avg_wsp - Time-mean wave spectral peakedness 143098: - max_weta - Time-maximum wave induced mean sea level correction 143099: - max_wraf - Time-maximum ratio of wave angular and frequency width 143100: - max_wnslc - Time-maximum number of events in freak waves statistics 143101: - max_utaua - Time-maximum U-component of atmospheric surface momentum flux 143102: - max_vtaua - Time-maximum V-component of atmospheric surface momentum flux 143103: - max_utauo - Time-maximum U-component of surface momentum flux into ocean 143104: - max_vtauo - Time-maximum V-component of surface momentum flux into ocean 143105: - max_wphio - Time-maximum wave turbulent energy flux into ocean 143106: - max_wdw1 - Time-maximum wave directional width of first swell partition 143107: - max_wfw1 - Time-maximum wave frequency width of first swell partition 143108: - max_wdw2 - Time-maximum wave directional width of second swell partition 143109: - max_wfw2 - Time-maximum wave frequency width of second swell partition 143110: - max_wdw3 - Time-maximum wave directional width of third swell partition 143111: - max_wfw3 - Time-maximum wave frequency width of third swell partition 143112: - max_wefxm - Time-maximum wave energy flux magnitude 143113: - max_wefxd - Time-maximum wave energy flux mean direction 143114: - max_h1012 - Time-maximum significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds 143115: - max_h1214 - Time-maximum significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds 143116: - max_h1417 - Time-maximum significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds 143117: - max_h1721 - Time-maximum significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds 143118: - max_h2125 - Time-maximum significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds 143119: - max_h2530 - Time-maximum significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds 143120: - max_sh10 - Time-maximum significant wave height of all waves with period larger than 10s 143121: - max_swh1 - Time-maximum significant wave height of first swell partition 143122: - max_mwd1 - Time-maximum mean wave direction of first swell partition 143123: - max_mwp1 - Time-maximum mean wave period of first swell partition 143124: - max_swh2 - Time-maximum significant wave height of second swell partition 143125: - max_mwd2 - Time-maximum mean wave direction of second swell partition 143126: - max_mwp2 - Time-maximum mean wave period of second swell partition 143127: - max_swh3 - Time-maximum significant wave height of third swell partition 143128: - max_mwd3 - Time-maximum mean wave direction of third swell partition 143129: - max_mwp3 - Time-maximum mean wave period of third swell partition 143131: - max_tdcmax - Time-maximum time domain maximum individual crest height 143132: - max_tdhmax - Time-maximum time domain maximum individual wave height 143133: - max_stcmax - Time-maximum space time maximum individual crest height 143134: - max_sthmax - Time-maximum space time maximum individual wave height 143135: - max_pp1dw - Time-maximum peak wave period of wind waves 143136: - max_pp1ds - Time-maximum peak wave period of total swell 143137: - max_pp1d1 - Time-maximum peak wave period of first swell partition 143138: - max_pp1d2 - Time-maximum peak wave period of second swell partition 143139: - max_pp1d3 - Time-maximum peak wave period of third swell partition 143140: - max_pwd - Time-maximum peak wave direction (total) 143141: - max_pwdw - Time-maximum peak wave direction of wind waves 143142: - max_pwds - Time-maximum peak wave direction of total swell 143143: - max_pwd1 - Time-maximum peak wave direction of first swell partition 143144: - max_pwd2 - Time-maximum peak wave direction of second swell partition 143145: - max_pwd3 - Time-maximum peak wave direction of third swell partition 143146: - max_wcfr - Time-maximum whitecap fraction 143147: - max_bfi2d - Time-maximum Benjamin-Feir index 2D 143148: - max_ctc - Time-maximum crest-trough correlation 143149: - max_xwrs - Time-maximum X component of the wave radiative stress to sea ice 143150: - max_ywrs - Time-maximum Y component of the wave radiative stress to sea ice 143207: - max_wss - Time-maximum wave Spectral Skewness 143208: - max_wstar - Time-maximum free convective velocity over the oceans 143209: - max_rhoao - Time-maximum air density over the oceans 143211: - max_phiaw - Time-maximum normalized energy flux into waves 143212: - max_phioc - Time-maximum normalized energy flux into ocean 143214: - max_tauoc - Time-maximum normalized stress into ocean 143215: - max_ust - Time-maximum U-component surface stokes drift 143216: - max_vst - Time-maximum V-component surface stokes drift 143217: - max_tmax - Time-maximum period corresponding to maximum individual wave height 143218: - max_hmax - Time-maximum envelop-maximum individual wave height 143220: - max_mp1 - Time-maximum mean wave period based on first moment 143221: - max_mp2 - Time-maximum mean zero-crossing wave period 143222: - max_wdw - Time-maximum wave spectral directional width 143223: - max_p1ww - Time-maximum mean wave period based on first moment for wind waves 143224: - max_p2ww - Time-maximum mean wave period based on second moment for wind waves 143225: - max_dwww - Time-maximum wave spectral directional width for wind waves 143226: - max_p1ps - Time-maximum mean wave period based on first moment for swell 143227: - max_p2ps - Time-maximum mean wave period based on second moment for swell 143228: - max_dwps - Time-maximum wave spectral directional width for swell 143229: - max_swh - Time-maximum significant height of combined wind waves and swell 143230: - max_mwd - Time-maximum mean wave direction 143231: - max_pp1d - Time-maximum peak wave period 143232: - max_mwp - Time-maximum mean wave period 143233: - max_cdww - Time-maximum coefficient of drag with waves 143234: - max_shww - Time-maximum significant height of wind waves 143235: - max_mdww - Time-maximum mean direction of wind waves 143236: - max_mpww - Time-maximum mean period of wind waves 143237: - max_shts - Time-maximum significant height of total swell 143238: - max_mdts - Time-maximum mean direction of total swell 143239: - max_mpts - Time-maximum mean period of total swell 143244: - max_msqs - Time-maximum mean square slope of waves 143245: - max_wind - Time-maximum 10 metre wind speed 143249: - max_dwi - Time-maximum 10 metre wind direction 143252: - max_wsk - Time-maximum wave spectral kurtosis 143253: - max_bfi - Time-maximum benjamin-Feir index 143254: - max_wsp - Time-maximum wave spectral peakedness 144098: - min_weta - Time-minimum wave induced mean sea level correction 144099: - min_wraf - Time-minimum ratio of wave angular and frequency width 144100: - min_wnslc - Time-minimum number of events in freak waves statistics 144101: - min_utaua - Time-minimum U-component of atmospheric surface momentum flux 144102: - min_vtaua - Time-minimum V-component of atmospheric surface momentum flux 144103: - min_utauo - Time-minimum U-component of surface momentum flux into ocean 144104: - min_vtauo - Time-minimum V-component of surface momentum flux into ocean 144105: - min_wphio - Time-minimum wave turbulent energy flux into ocean 144106: - min_wdw1 - Time-minimum wave directional width of first swell partition 144107: - min_wfw1 - Time-minimum wave frequency width of first swell partition 144108: - min_wdw2 - Time-minimum wave directional width of second swell partition 144109: - min_wfw2 - Time-minimum wave frequency width of second swell partition 144110: - min_wdw3 - Time-minimum wave directional width of third swell partition 144111: - min_wfw3 - Time-minimum wave frequency width of third swell partition 144112: - min_wefxm - Time-minimum wave energy flux magnitude 144113: - min_wefxd - Time-minimum wave energy flux mean direction 144114: - min_h1012 - Time-minimum significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds 144115: - min_h1214 - Time-minimum significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds 144116: - min_h1417 - Time-minimum significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds 144117: - min_h1721 - Time-minimum significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds 144118: - min_h2125 - Time-minimum significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds 144119: - min_h2530 - Time-minimum significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds 144120: - min_sh10 - Time-minimum significant wave height of all waves with period larger than 10s 144121: - min_swh1 - Time-minimum significant wave height of first swell partition 144122: - min_mwd1 - Time-minimum mean wave direction of first swell partition 144123: - min_mwp1 - Time-minimum mean wave period of first swell partition 144124: - min_swh2 - Time-minimum significant wave height of second swell partition 144125: - min_mwd2 - Time-minimum mean wave direction of second swell partition 144126: - min_mwp2 - Time-minimum mean wave period of second swell partition 144127: - min_swh3 - Time-minimum significant wave height of third swell partition 144128: - min_mwd3 - Time-minimum mean wave direction of third swell partition 144129: - min_mwp3 - Time-minimum mean wave period of third swell partition 144131: - min_tdcmax - Time-minimum time domain maximum individual crest height 144132: - min_tdhmax - Time-minimum time domain maximum individual wave height 144133: - min_stcmax - Time-minimum space time maximum individual crest height 144134: - min_sthmax - Time-minimum space time maximum individual wave height 144135: - min_pp1dw - Time-minimum peak wave period of wind waves 144136: - min_pp1ds - Time-minimum peak wave period of total swell 144137: - min_pp1d1 - Time-minimum peak wave period of first swell partition 144138: - min_pp1d2 - Time-minimum peak wave period of second swell partition 144139: - min_pp1d3 - Time-minimum peak wave period of third swell partition 144140: - min_pwd - Time-minimum peak wave direction (total) 144141: - min_pwdw - Time-minimum peak wave direction of wind waves 144142: - min_pwds - Time-minimum peak wave direction of total swell 144143: - min_pwd1 - Time-minimum peak wave direction of first swell partition 144144: - min_pwd2 - Time-minimum peak wave direction of second swell partition 144145: - min_pwd3 - Time-minimum peak wave direction of third swell partition 144146: - min_wcfr - Time-minimum whitecap fraction 144147: - min_bfi2d - Time-minimum Benjamin-Feir index 2D 144148: - min_ctc - Time-minimum crest-trough correlation 144149: - min_xwrs - Time-minimum X component of the wave radiative stress to sea ice 144150: - min_ywrs - Time-minimum Y component of the wave radiative stress to sea ice 144207: - min_wss - Time-minimum wave Spectral Skewness 144208: - min_wstar - Time-minimum free convective velocity over the oceans 144209: - min_rhoao - Time-minimum air density over the oceans 144211: - min_phiaw - Time-minimum normalized energy flux into waves 144212: - min_phioc - Time-minimum normalized energy flux into ocean 144214: - min_tauoc - Time-minimum normalized stress into ocean 144215: - min_ust - Time-minimum U-component surface stokes drift 144216: - min_vst - Time-minimum V-component surface stokes drift 144217: - min_tmax - Time-minimum period corresponding to maximum individual wave height 144218: - min_hmax - Time-minimum envelop-maximum individual wave height 144220: - min_mp1 - Time-minimum mean wave period based on first moment 144221: - min_mp2 - Time-minimum mean zero-crossing wave period 144222: - min_wdw - Time-minimum wave spectral directional width 144223: - min_p1ww - Time-minimum mean wave period based on first moment for wind waves 144224: - min_p2ww - Time-minimum mean wave period based on second moment for wind waves 144225: - min_dwww - Time-minimum wave spectral directional width for wind waves 144226: - min_p1ps - Time-minimum mean wave period based on first moment for swell 144227: - min_p2ps - Time-minimum mean wave period based on second moment for swell 144228: - min_dwps - Time-minimum wave spectral directional width for swell 144229: - min_swh - Time-minimum significant height of combined wind waves and swell 144230: - min_mwd - Time-minimum mean wave direction 144231: - min_pp1d - Time-minimum peak wave period 144232: - min_mwp - Time-minimum mean wave period 144233: - min_cdww - Time-minimum coefficient of drag with waves 144234: - min_shww - Time-minimum significant height of wind waves 144235: - min_mdww - Time-minimum mean direction of wind waves 144236: - min_mpww - Time-minimum mean period of wind waves 144237: - min_shts - Time-minimum significant height of total swell 144238: - min_mdts - Time-minimum mean direction of total swell 144239: - min_mpts - Time-minimum mean period of total swell 144244: - min_msqs - Time-minimum mean square slope of waves 144245: - min_wind - Time-minimum 10 metre wind speed 144249: - min_dwi - Time-minimum 10 metre wind direction 144252: - min_wsk - Time-minimum wave spectral kurtosis 144253: - min_bfi - Time-minimum benjamin-Feir index 144254: - min_wsp - Time-minimum wave spectral peakedness 145098: - std_weta - Time-standard-deviation wave induced mean sea level correction 145099: - std_wraf - Time-standard-deviation ratio of wave angular and frequency width 145100: - std_wnslc - Time-standard-deviation number of events in freak waves statistics 145101: - std_utaua - Time-standard-deviation U-component of atmospheric surface momentum flux 145102: - std_vtaua - Time-standard-deviation V-component of atmospheric surface momentum flux 145103: - std_utauo - Time-standard-deviation U-component of surface momentum flux into ocean 145104: - std_vtauo - Time-standard-deviation V-component of surface momentum flux into ocean 145105: - std_wphio - Time-standard-deviation wave turbulent energy flux into ocean 145106: - std_wdw1 - Time-standard-deviation wave directional width of first swell partition 145107: - std_wfw1 - Time-standard-deviation wave frequency width of first swell partition 145108: - std_wdw2 - Time-standard-deviation wave directional width of second swell partition 145109: - std_wfw2 - Time-standard-deviation wave frequency width of second swell partition 145110: - std_wdw3 - Time-standard-deviation wave directional width of third swell partition 145111: - std_wfw3 - Time-standard-deviation wave frequency width of third swell partition 145112: - std_wefxm - Time-standard-deviation wave energy flux magnitude 145113: - std_wefxd - Time-standard-deviation wave energy flux mean direction 145114: - std_h1012 - Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 10 to 12 seconds 145115: - std_h1214 - Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 12 to 14 seconds 145116: - std_h1417 - Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 14 to 17 seconds 145117: - std_h1721 - Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 17 to 21 seconds 145118: - std_h2125 - Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 21 to 25 seconds 145119: - std_h2530 - Time-standard-deviation significant wave height of all waves with periods within the inclusive range from 25 to 30 seconds 145120: - std_sh10 - Time-standard-deviation significant wave height of all waves with period larger than 10s 145121: - std_swh1 - Time-standard-deviation significant wave height of first swell partition 145122: - std_mwd1 - Time-standard-deviation mean wave direction of first swell partition 145123: - std_mwp1 - Time-standard-deviation mean wave period of first swell partition 145124: - std_swh2 - Time-standard-deviation significant wave height of second swell partition 145125: - std_mwd2 - Time-standard-deviation mean wave direction of second swell partition 145126: - std_mwp2 - Time-standard-deviation mean wave period of second swell partition 145127: - std_swh3 - Time-standard-deviation significant wave height of third swell partition 145128: - std_mwd3 - Time-standard-deviation mean wave direction of third swell partition 145129: - std_mwp3 - Time-standard-deviation mean wave period of third swell partition 145131: - std_tdcmax - Time-standard-deviation time domain maximum individual crest height 145132: - std_tdhmax - Time-standard-deviation time domain maximum individual wave height 145133: - std_stcmax - Time-standard-deviation space time maximum individual crest height 145134: - std_sthmax - Time-standard-deviation space time maximum individual wave height 145135: - std_pp1dw - Time-standard-deviation peak wave period of wind waves 145136: - std_pp1ds - Time-standard-deviation peak wave period of total swell 145137: - std_pp1d1 - Time-standard-deviation peak wave period of first swell partition 145138: - std_pp1d2 - Time-standard-deviation peak wave period of second swell partition 145139: - std_pp1d3 - Time-standard-deviation peak wave period of third swell partition 145140: - std_pwd - Time-standard-deviation peak wave direction (total) 145141: - std_pwdw - Time-standard-deviation peak wave direction of wind waves 145142: - std_pwds - Time-standard-deviation peak wave direction of total swell 145143: - std_pwd1 - Time-standard-deviation peak wave direction of first swell partition 145144: - std_pwd2 - Time-standard-deviation peak wave direction of second swell partition 145145: - std_pwd3 - Time-standard-deviation peak wave direction of third swell partition 145146: - std_wcfr - Time-standard-deviation whitecap fraction 145147: - std_bfi2d - Time-standard-deviation Benjamin-Feir index 2D 145148: - std_ctc - Time-standard-deviation crest-trough correlation 145149: - std_xwrs - Time-standard-deviation X component of the wave radiative stress to sea ice 145150: - std_ywrs - Time-standard-deviation Y component of the wave radiative stress to sea ice 145207: - std_wss - Time-standard-deviation wave Spectral Skewness 145208: - std_wstar - Time-standard-deviation free convective velocity over the oceans 145209: - std_rhoao - Time-standard-deviation air density over the oceans 145211: - std_phiaw - Time-standard-deviation normalized energy flux into waves 145212: - std_phioc - Time-standard-deviation normalized energy flux into ocean 145214: - std_tauoc - Time-standard-deviation normalized stress into ocean 145215: - std_ust - Time-standard-deviation U-component surface stokes drift 145216: - std_vst - Time-standard-deviation V-component surface stokes drift 145217: - std_tmax - Time-standard-deviation period corresponding to maximum individual wave height 145218: - std_hmax - Time-standard-deviation envelop-maximum individual wave height 145220: - std_mp1 - Time-standard-deviation mean wave period based on first moment 145221: - std_mp2 - Time-standard-deviation mean zero-crossing wave period 145222: - std_wdw - Time-standard-deviation wave spectral directional width 145223: - std_p1ww - Time-standard-deviation mean wave period based on first moment for wind waves 145224: - std_p2ww - Time-standard-deviation mean wave period based on second moment for wind waves 145225: - std_dwww - Time-standard-deviation wave spectral directional width for wind waves 145226: - std_p1ps - Time-standard-deviation mean wave period based on first moment for swell 145227: - std_p2ps - Time-standard-deviation mean wave period based on second moment for swell 145228: - std_dwps - Time-standard-deviation wave spectral directional width for swell 145229: - std_swh - Time-standard-deviation significant height of combined wind waves and swell 145230: - std_mwd - Time-standard-deviation mean wave direction 145231: - std_pp1d - Time-standard-deviation peak wave period 145232: - std_mwp - Time-standard-deviation mean wave period 145233: - std_cdww - Time-standard-deviation coefficient of drag with waves 145234: - std_shww - Time-standard-deviation significant height of wind waves 145235: - std_mdww - Time-standard-deviation mean direction of wind waves 145236: - std_mpww - Time-standard-deviation mean period of wind waves 145237: - std_shts - Time-standard-deviation significant height of total swell 145238: - std_mdts - Time-standard-deviation mean direction of total swell 145239: - std_mpts - Time-standard-deviation mean period of total swell 145244: - std_msqs - Time-standard-deviation mean square slope of waves 145245: - std_wind - Time-standard-deviation 10 metre wind speed 145249: - std_dwi - Time-standard-deviation 10 metre wind direction 145252: - std_wsk - Time-standard-deviation wave spectral kurtosis 145253: - std_bfi - Time-standard-deviation benjamin-Feir index 145254: - std_wsp - Time-standard-deviation wave spectral peakedness 150129: - ocpt - Ocean potential temperature 150130: - ocs - Ocean salinity 150131: - ocpd - Ocean potential density 150133: - _param_150133 - Ocean U wind component 150134: - _param_150134 - Ocean V wind component 150135: - ocw - Ocean W wind component 150137: - rn - Richardson number 150139: - uv - U*V product 150140: - ut - U*T product 150141: - vt - V*T product 150142: - uu - U*U product 150143: - vv - V*V product 150144: - _param_150144 - UV - U~V~ 150145: - _param_150145 - UT - U~T~ 150146: - _param_150146 - VT - V~T~ 150147: - _param_150147 - UU - U~U~ 150148: - _param_150148 - VV - V~V~ 150152: - sl - Sea level 150153: - _param_150153 - Barotropic stream function 150154: - mld - Mixed layer depth 150155: - _param_150155 - Depth 150168: - _param_150168 - U stress 150169: - _param_150169 - V stress 150170: - _param_150170 - Turbulent kinetic energy input 150171: - nsf - Net surface heat flux 150172: - _param_150172 - Surface solar radiation 150173: - _param_150173 - P-E 150180: - _param_150180 - Diagnosed sea surface temperature error 150181: - _param_150181 - Heat flux correction 150182: - _param_150182 - Observed sea surface temperature 150183: - _param_150183 - Observed heat flux 150255: - _param_150255 - Indicates a missing value 151126: - mswpt300m - Mean sea water potential temperature in the upper 300 m 151127: - mswt300m - Mean sea water temperature in the upper 300 m 151128: - _param_151128 - In situ Temperature 151129: - thetao - Sea water potential temperature 151130: - so - Sea water practical salinity 151131: - ocu - Eastward surface sea water velocity 151132: - ocv - Northward surface sea water velocity 151133: - wo - Upward sea water velocity 151134: - mst - Modulus of strain rate tensor 151135: - vvs - Vertical viscosity 151136: - vdf - Vertical diffusivity 151137: - dep - Bottom level Depth 151138: - sigmat - Sea water sigma theta 151139: - rn - Richardson number 151140: - uv - UV product 151141: - ut - UT product 151142: - vt - VT product 151143: - uu - UU product 151144: - vv - VV product 151145: - zos - Sea surface height 151146: - sl_1 - Sea level previous timestep 151147: - stfbarot - Ocean barotropic stream function 151148: - mld - Mixed layer depth 151149: - btp - Bottom Pressure (equivalent height) 151150: - sh - Steric height 151151: - crl - Curl of Wind Stress 151152: - _param_151152 - Divergence of wind stress 151153: - taueo - Surface downward eastward stress 151154: - tauno - Surface downward northward stress 151155: - tki - Turbulent kinetic energy input 151156: - nsf - Net surface heat flux 151157: - asr - Absorbed solar radiation 151158: - pme - Precipitation - evaporation 151159: - sst - Specified sea surface temperature 151160: - shf - Specified surface heat flux 151161: - dte - Diagnosed sea surface temperature error 151162: - hfc - Heat flux correction 151163: - t20d - Depth of 20C isotherm 151164: - tav300 - Average potential temperature in the upper 300m 151165: - uba1 - Vertically integrated zonal velocity (previous time step) 151166: - vba1 - Vertically Integrated meridional velocity (previous time step) 151167: - ztr - Vertically integrated zonal volume transport 151168: - mtr - Vertically integrated meridional volume transport 151169: - zht - Vertically integrated zonal heat transport 151170: - mht - Vertically integrated meridional heat transport 151171: - umax - U velocity maximum 151172: - dumax - Depth of the velocity maximum 151173: - smax - Salinity maximum 151174: - dsmax - Depth of salinity maximum 151175: - sav300 - Average sea water practical salinity in the upper 300m 151176: - ldp - Layer Thickness at scalar points 151177: - ldu - Layer Thickness at vector points 151178: - pti - Potential temperature increment 151179: - ptae - Potential temperature analysis error 151180: - bpt - Background potential temperature 151181: - apt - Analysed potential temperature 151182: - ptbe - Potential temperature background error 151183: - as - Analysed salinity 151184: - sali - Salinity increment 151185: - ebt - Estimated Bias in Temperature 151186: - ebs - Estimated Bias in Salinity 151187: - uvi - Zonal Velocity increment (from balance operator) 151188: - vvi - Meridional Velocity increment (from balance operator) 151189: - tos - Sea surface temperature in degC 151190: - subi - Salinity increment (from salinity data) 151191: - sale - Salinity analysis error 151192: - bsal - Background Salinity 151193: - _param_151193 - Reserved 151194: - salbe - Salinity background error 151195: - t14d - Depth of 14C isotherm 151196: - t17d - Depth of 17C isotherm 151197: - t26d - Depth of 26C isotherm 151198: - t28d - Depth of 28C isotherm 151199: - ebta - Estimated temperature bias from assimilation 151200: - ebsa - Estimated salinity bias from assimilation 151201: - lti - Temperature increment from relaxation term 151202: - lsi - Salinity increment from relaxation term 151203: - bzpga - Bias in the zonal pressure gradient (applied) 151204: - bmpga - Bias in the meridional pressure gradient (applied) 151205: - ebtl - Estimated temperature bias from relaxation 151206: - ebsl - Estimated salinity bias from relaxation 151207: - fgbt - First guess bias in temperature 151208: - fgbs - First guess bias in salinity 151209: - bpa - Applied bias in pressure 151210: - fgbp - FG bias in pressure 151211: - pta - Bias in temperature(applied) 151212: - psa - Bias in salinity (applied) 151213: - hfds - Surface downward heat flux in sea water 151214: - hc300m - Ocean heat content 0-300m 151215: - hc700m - Ocean heat content 0-700m 151216: - hcbtm - Ocean heat content 0-bottom 151217: - wfcorr - Water flux correction 151219: - sos - Sea surface practical salinity 151222: - tauvo - Surface downward y stress 151223: - tauuo - Surface downward x stress 151224: - mlotdev - Ocean mixed layer thickness defined by vertical tracer diffusivity threshold 151225: - mlotst010 - Ocean mixed layer thickness defined by sigma theta 0.01 kg/m3 151226: - mlotst030 - Ocean mixed layer thickness defined by sigma theta 0.03 kg/m3 151227: - mlotst125 - Ocean mixed layer thickness defined by sigma theta 0.125 kg/m3 151228: - mlott02 - Ocean mixed layer thickness defined by temperature 0.2C 151229: - mlott05 - Ocean mixed layer thickness defined by temperature 0.5C 151230: - vsf - Virtual salt flux into sea water 151232: - sc700m - Integrated salinity 0-700m 151233: - sabtm - Integrated salinity 0-bottom 151234: - swmth - Sea water mass per unit area expressed as thickness 151235: - sc300m - Integrated salinity 0-300m 151236: - rss - Surface net downward shortwave flux into ocean 151250: - voy - Sea water y velocity 151251: - uox - Sea water x velocity 151255: - _param_151255 - Indicates a missing value 160049: - 10fgrea - 10 metre wind gust during averaging time 160135: - wrea - vertical velocity (pressure) 160137: - pwcrea - Precipitable water content 160140: - swl1rea - Soil wetness level 1 160141: - sdrea - Snow depth 160142: - lsprea - Large-scale precipitation 160143: - cprea - Convective precipitation 160144: - sfrea - Snowfall 160156: - ghrea - Height 160157: - rrea - Relative humidity 160171: - swl2rea - Soil wetness level 2 160180: - ewssrea - East-West surface stress 160181: - nsssrea - North-South surface stress 160182: - erea - Evaporation 160184: - swl3rea - Soil wetness level 3 160198: - srcon - Skin reservoir content 160199: - vegrea - Percentage of vegetation 160205: - rorea - Runoff 160207: - tzrea - Covariance of temperature and geopotential 160209: - qzrea - Covariance of specific humidity and geopotential 160210: - qtrea - Covariance of specific humidity and temperature 160212: - uzrea - Covariance of U component and geopotential 160213: - utrea - Covariance of U component and temperature 160214: - uqrea - Covariance of U component and specific humidity 160216: - vzrea - Covariance of V component and geopotential 160217: - vtrea - Covariance of V component and temperature 160218: - vqrea - Covariance of V component and specific humidity 160219: - vurea - Covariance of V component and U component 160221: - wzrea - Covariance of W component and geopotential 160222: - wtrea - Covariance of W component and temperature 160223: - wqrea - Covariance of W component and specific humidity 160224: - wurea - Covariance of W component and U component 160225: - wvrea - Covariance of W component and V component 160231: - ishfrea - Instantaneous surface heat flux 160239: - csfrea - Convective snowfall 160240: - lsfrea - Large scale snowfall 160241: - clwcerrea - Cloud liquid water content 160242: - ccrea - Cloud cover 160243: - falrea - Forecast albedo 160246: - 10wsrea - 10 metre wind speed 160247: - moflrea - Momentum flux 160249: - _param_160249 - Gravity wave dissipation flux 160254: - hsdrea - Heaviside beta function 162031: - viwgd - Total column vertically-integrated divergence of water geopotential flux 162032: - viee - Total column vertically-integrated eastward enthalpy flux 162033: - vien - Total column vertically-integrated northward enthalpy flux 162034: - vied - Total column vertically-integrated divergence of enthalpy flux 162035: - viwed - Total column vertically-integrated divergence of water enthalpy flux 162036: - viwvd - Total column vertically-integrated divergence of water vapour flux 162037: - viclwd - Total column vertically-integrated divergence of cloud liquid water flux 162038: - viciwd - Total column vertically-integrated divergence of cloud ice water flux 162039: - vird - Total column vertically-integrated divergence of rain flux 162040: - visd - Total column vertically-integrated divergence of snow flux 162041: - viclwe - Total column vertically-integrated eastward cloud liquid water flux 162042: - viclwn - Total column vertically-integrated northward cloud liquid water flux 162043: - viciwe - Total column vertically-integrated eastward cloud ice water flux 162044: - viciwn - Total column vertically-integrated northward cloud ice water flux 162045: - wvf - Water vapour flux 162046: - vire - Total column vertically-integrated eastward rain flux 162047: - virn - Total column vertically-integrated northward rain flux 162048: - vise - Total column vertically-integrated eastward snow flux 162049: - visn - Total column vertically-integrated northward snow flux 162050: - vions - Total column vertically-integrated net source of ozone 162051: - _param_162051 - Surface geopotential 162053: - vima - Total column vertically-integrated mass of atmosphere 162054: - vit - Total column vertically-integrated temperature 162055: - viwv - Total column vertically-integrated water vapour 162056: - vilw - Total column vertically-integrated cloud liquid water 162057: - viiw - Total column vertically-integrated cloud frozen water 162058: - vioz - Total column vertically-integrated ozone 162059: - vike - Total column vertically-integrated kinetic energy 162060: - vithe - Total column vertically-integrated enthalpy 162061: - vipie - Total column vertically-integrated potential + internal energy 162062: - vipile - Total column vertically-integrated potential+internal+latent energy 162063: - vitoe - Total column vertically-integrated total energy 162064: - viec - Total column vertically-integrated energy conversion 162065: - vimae - Total column vertically-integrated eastward mass flux 162066: - viman - Total column vertically-integrated northward mass flux 162067: - vikee - Total column vertically-integrated eastward kinetic energy flux 162068: - viken - Total column vertically-integrated northward kinetic energy flux 162069: - vithee - Total column vertically-integrated eastward heat flux 162070: - vithen - Total column vertically-integrated northward heat flux 162071: - viwve - Total column vertically-integrated eastward water vapour flux 162072: - viwvn - Total column vertically-integrated northward water vapour flux 162073: - vige - Total column vertically-integrated eastward geopotential flux 162074: - vign - Total column vertically-integrated northward geopotential flux 162075: - vitee - Total column vertically-integrated eastward total energy flux 162076: - viten - Total column vertically-integrated northward total energy flux 162077: - vioze - Total column vertically-integrated eastward ozone flux 162078: - viozn - Total column vertically-integrated northward ozone flux 162079: - vilwd - Total column vertically-integrated divergence of cloud liquid water flux 162080: - viiwd - Total column vertically-integrated divergence of cloud frozen water flux 162081: - vimad - Total column vertically-integrated divergence of mass flux 162082: - viked - Total column vertically-integrated divergence of kinetic energy flux 162083: - vithed - Total column vertically-integrated divergence of thermal energy flux 162084: - vimdf - Total column vertically-integrated moisture divergence flux 162085: - vigd - Total column vertically-integrated divergence of geopotential flux 162086: - vited - Total column vertically-integrated divergence of total energy flux 162087: - viozd - Total column vertically-integrated divergence of ozone flux 162088: - vilwe - Total column vertically-integrated eastward cloud liquid water flux 162089: - vilwn - Total column vertically-integrated northward cloud liquid water flux 162090: - viiwe - Total column vertically-integrated eastward cloud frozen water flux 162091: - viiwn - Total column vertically-integrated northward cloud frozen water flux 162092: - vimat - Total column vertically-integrated mass tendency 162093: - viwe - Total column vertically-integrated water enthalpy 162100: - srta - Time-integrated temperature tendency due to short-wave radiation 162101: - trta - Time-integrated temperature tendency due to long-wave radiation 162102: - srtca - Time-integrated temperature tendency due to short wave radiation, clear sky 162103: - trtca - Time-integrated temperature tendency due to long-wave radiation, clear sky 162104: - umfa - Time-integrated updraught mass flux 162105: - dmfa - Time-integrated downdraught mass flux 162106: - udra - Time-integrated updraught detrainment rate 162107: - ddra - Time-integrated downdraught detrainment rate 162108: - tpfa - Time-integrated total precipitation flux 162109: - tdcha - Time-integrated turbulent diffusion coefficient for heat 162110: - ttpha - Time-integrated temperature tendency due to parametrisations 162111: - qtpha - Time-integrated specific humidity tendency due to parametrisations 162112: - utpha - Time-integrated eastward wind tendency due to parametrisations 162113: - vtpha - Time-integrated northward wind tendency due to parametrisations 162114: - utendd - U-tendency from dynamics 162115: - vtendd - V-tendency from dynamics 162116: - ttendd - T-tendency from dynamics 162117: - qtendd - q-tendency from dynamics 162118: - ttendr - T-tendency from radiation 162119: - utendts - U-tendency from turbulent diffusion + subgrid orography 162120: - vtendts - V-tendency from turbulent diffusion + subgrid orography 162121: - ttendts - T-tendency from turbulent diffusion + subgrid orography 162122: - qtendt - q-tendency from turbulent diffusion 162123: - utends - U-tendency from subgrid orography 162124: - vtends - V-tendency from subgrid orography 162125: - ttends - T-tendency from subgrid orography 162126: - utendcds - U-tendency from convection (deep+shallow) 162127: - vtendcds - V-tendency from convection (deep+shallow) 162128: - ttendcds - T-tendency from convection (deep+shallow) 162129: - qtendcds - q-tendency from convection (deep+shallow) 162130: - lpc - Liquid Precipitation flux from convection 162131: - ipc - Ice Precipitation flux from convection 162132: - ttendcs - T-tendency from cloud scheme 162133: - qtendcs - q-tendency from cloud scheme 162134: - qltendcs - ql-tendency from cloud scheme 162135: - qitendcs - qi-tendency from cloud scheme 162136: - lpcs - Liquid Precip flux from cloud scheme (stratiform) 162137: - ipcs - Ice Precip flux from cloud scheme (stratiform) 162138: - utendcs - U-tendency from shallow convection 162139: - vtendcs - V-tendency from shallow convection 162140: - ttendsc - T-tendency from shallow convection 162141: - qtendsc - q-tendency from shallow convection 162150: - ttswr - Temperature tendency due to short-wave radiation 162151: - ttlwr - Temperature tendency due to long-wave radiation 162152: - ttswrcs - Temperature tendency due to short-wave radiation, clear sky 162153: - ttlwrcs - Temperature tendency due to long-wave radiation, clear sky 162154: - umf - Updraught mass flux 162155: - dmf - Downdraught mass flux 162156: - udr - Updraught detrainment rate 162157: - ddr - Downdraught detrainment rate 162158: - tpf - Total precipitation flux 162159: - tdch - Turbulent diffusion coefficient for heat 162160: - ttpm - Temperature tendency due to parametrisations 162161: - qtpm - Specific humidity tendency due to parametrisations 162162: - utpm - Eastward wind tendency due to parametrisations 162163: - vtpm - Northward wind tendency due to parametrisations 162206: - _param_162206 - Variance of geopotential 162207: - _param_162207 - Covariance of geopotential/temperature 162208: - _param_162208 - Variance of temperature 162209: - _param_162209 - Covariance of geopotential/specific humidity 162210: - _param_162210 - Covariance of temperature/specific humidity 162211: - _param_162211 - Variance of specific humidity 162212: - _param_162212 - Covariance of u component/geopotential 162213: - _param_162213 - Covariance of u component/temperature 162214: - _param_162214 - Covariance of u component/specific humidity 162215: - _param_162215 - Variance of u component 162216: - _param_162216 - Covariance of v component/geopotential 162217: - _param_162217 - Covariance of v component/temperature 162218: - _param_162218 - Covariance of v component/specific humidity 162219: - _param_162219 - Covariance of v component/u component 162220: - _param_162220 - Variance of v component 162221: - _param_162221 - Covariance of omega/geopotential 162222: - _param_162222 - Covariance of omega/temperature 162223: - _param_162223 - Covariance of omega/specific humidity 162224: - _param_162224 - Covariance of omega/u component 162225: - _param_162225 - Covariance of omega/v component 162226: - _param_162226 - Variance of omega 162227: - _param_162227 - Variance of surface pressure 162229: - _param_162229 - Variance of relative humidity 162230: - _param_162230 - Covariance of u component/ozone 162231: - _param_162231 - Covariance of v component/ozone 162232: - _param_162232 - Covariance of omega/ozone 162233: - _param_162233 - Variance of ozone 162255: - _param_162255 - Indicates a missing value 170001: - spi03 - Standardised precipitation index valid in the last 3 months 170002: - spi06 - Standardised precipitation index valid in the last 6 months 170003: - spi12 - Standardised precipitation index valid in the last 12 months 170149: - tsw - Total soil moisture 170171: - swl2 - Soil wetness level 2 170179: - ttr - Top net thermal radiation 171001: - strfa - Stream function anomaly 171002: - vpota - Velocity potential anomaly 171003: - pta - Potential temperature anomaly 171004: - epta - Equivalent potential temperature anomaly 171005: - septa - Saturated equivalent potential temperature anomaly 171006: - 100ua - 100 metre U wind component anomaly 171007: - 100va - 100 metre V wind component anomaly 171008: - 100sia - 100 metre wind speed anomaly 171011: - udwa - U component of divergent wind anomaly 171012: - vdwa - V component of divergent wind anomaly 171013: - urwa - U component of rotational wind anomaly 171014: - vrwa - V component of rotational wind anomaly 171021: - uctpa - Unbalanced component of temperature anomaly 171022: - uclna - Unbalanced component of logarithm of surface pressure anomaly 171023: - ucdva - Unbalanced component of divergence anomaly 171024: - lmlta - Lake mix-layer temperature anomaly 171025: - licda - Lake ice depth anomaly 171026: - cla - Lake cover anomaly 171027: - cvla - Low vegetation cover anomaly 171028: - cvha - High vegetation cover anomaly 171029: - tvla - Type of low vegetation anomaly 171030: - tvha - Type of high vegetation anomaly 171031: - sica - Sea-ice cover anomaly - ci 171032: - asna - Snow albedo anomaly 171033: - rsna - Snow density anomaly 171034: - ssta - Sea surface temperature anomaly 171035: - istal1 - Ice surface temperature anomaly layer 1 171036: - istal2 - Ice surface temperature anomaly layer 2 171037: - istal3 - Ice surface temperature anomaly layer 3 171038: - istal4 - Ice surface temperature anomaly layer 4 171039: - swval1 - Volumetric soil water anomaly layer 1 - swv1 - swvl1a 171040: - swval2 - Volumetric soil water anomaly layer 2 - swv2 - swvl2a 171041: - swval3 - Volumetric soil water anomaly layer 3 - swv3 - swvl3a 171042: - swval4 - Volumetric soil water anomaly layer 4 - swv4 - swvl4a 171043: - slta - Soil type anomaly 171044: - esa - Snow evaporation anomaly 171045: - smlta - Snowmelt anomaly 171046: - sdura - Solar duration anomaly 171047: - dsrpa - Direct solar radiation anomaly 171048: - magssa - Magnitude of turbulent surface stress anomaly 171049: - 10fga - 10 metre wind gust anomaly 171050: - lspfa - Large-scale precipitation fraction anomaly 171051: - mx2t24a - Maximum 2 metre temperature in the last 24 hours anomaly 171052: - mn2t24a - Minimum 2 metre temperature in the last 24 hours anomaly 171053: - monta - Montgomery potential anomaly 171054: - pa - Pressure anomaly 171055: - mean2t24a - Mean 2 metre temperature in the last 24 hours anomaly 171056: - mn2d24a - Mean 2 metre dewpoint temperature in the last 24 hours anomaly 171057: - uvba - Downward UV radiation at the surface anomaly 171058: - para - Photosynthetically active radiation at the surface anomaly 171059: - capea - Convective available potential energy anomaly 171060: - pva - Potential vorticity anomaly 171061: - tpoa - Total precipitation from observations anomaly 171062: - obcta - Observation count anomaly 171063: - stsktda - Start time for skin temperature difference anomaly 171064: - ftsktda - Finish time for skin temperature difference anomaly 171065: - sktda - Skin temperature difference anomaly 171078: - tclwa - Total column liquid water anomaly 171079: - tciwa - Total column ice water anomaly 171121: - mx2t6a - Maximum temperature at 2 metres in the last 6 hours anomaly 171122: - mn2t6a - Minimum temperature at 2 metres in the last 6 hours anomaly 171125: - vitea - Vertically integrated total energy anomaly 171126: - _param_171126 - Generic parameter for sensitive area prediction 171127: - ata - Atmospheric tide anomaly 171128: - bva - Budget values anomaly 171129: - za - Geopotential anomaly - z 171130: - ta - Temperature anomaly - t 171131: - ua - U component of wind anomaly - u 171132: - va - V component of wind anomaly - v 171133: - qa - Specific humidity anomaly 171134: - spa - Surface pressure anomaly 171135: - wa - Vertical velocity (pressure) anomaly 171136: - tcwa - Total column water anomaly 171137: - tcwva - Total column water vapour anomaly 171138: - voa - Relative vorticity anomaly - vo 171139: - stal1 - Soil temperature anomaly level 1 - stl1 - st 171140: - swal1 - Soil wetness anomaly level 1 - swl1 171141: - sda - Snow depth anomaly 171142: - lspa - Stratiform precipitation (Large-scale precipitation) anomaly 171143: - cpa - Convective precipitation anomaly 171144: - sfa - Snowfall (convective + stratiform) anomaly 171145: - blda - Boundary layer dissipation anomaly 171146: - sshfa - Surface sensible heat flux anomaly 171147: - slhfa - Surface latent heat flux anomaly 171148: - chnka - Charnock anomaly 171149: - snra - Surface net radiation anomaly 171150: - tnra - Top net radiation anomaly 171151: - msla - Mean sea level pressure anomaly - msl 171152: - lspa - Logarithm of surface pressure anomaly 171153: - swhra - Short-wave heating rate anomaly 171154: - lwhra - Long-wave heating rate anomaly 171155: - da - Relative divergence anomaly - d 171156: - gha - Height anomaly - gh 171157: - ra - Relative humidity anomaly - r 171158: - tspa - Tendency of surface pressure anomaly 171159: - blha - Boundary layer height anomaly 171160: - sdora - Standard deviation of orography anomaly 171161: - isora - Anisotropy of sub-gridscale orography anomaly 171162: - anora - Angle of sub-gridscale orography anomaly 171163: - slora - Slope of sub-gridscale orography anomaly 171164: - tcca - Total cloud cover anomaly 171165: - 10ua - 10 metre U wind component anomaly 171166: - 10va - 10 metre V wind component anomaly 171167: - 2ta - 2 metre temperature anomaly 171168: - 2da - 2 metre dewpoint temperature anomaly 171169: - ssrda - Surface solar radiation downwards anomaly 171170: - stal2 - Soil temperature anomaly level 2 - slal2 - stl2 171171: - swal2 - Soil wetness anomaly level 2 - swl2 171173: - sra - Surface roughness anomaly 171174: - ala - Albedo anomaly 171175: - strda - Surface thermal radiation downwards anomaly 171176: - ssra - Surface net solar radiation anomaly 171177: - stra - Surface net thermal radiation anomaly 171178: - tsra - Top net solar radiation anomaly 171179: - ttra - Top net thermal radiation anomaly 171180: - eqssa - East-West surface stress anomaly 171181: - nsssa - North-South surface stress anomaly 171182: - ea - Evaporation anomaly 171183: - stal3 - Soil temperature anomaly level 3 - stl3 171184: - swal3 - Soil wetness anomaly level 3 - swl3 171185: - ccca - Convective cloud cover anomaly 171186: - lcca - Low cloud cover anomaly 171187: - mcca - Medium cloud cover anomaly 171188: - hcca - High cloud cover anomaly 171189: - sunda - Sunshine duration anomaly 171190: - ewova - East-West component of sub-gridscale orographic variance anomaly 171191: - nsova - North-South component of sub-gridscale orographic variance anomaly 171192: - nwova - North-West/South-East component of sub-gridscale orographic variance anomaly 171193: - neova - North-East/South-West component of sub-gridscale orographic variance anomaly 171194: - btmpa - Brightness temperature anomaly 171195: - lgwsa - Longitudinal component of gravity wave stress anomaly 171196: - mgwsa - Meridional component of gravity wave stress anomaly 171197: - gwda - Gravity wave dissipation anomaly 171198: - srca - Skin reservoir content anomaly 171199: - vfa - Vegetation fraction anomaly 171200: - vsoa - Variance of sub-gridscale orography anomaly 171201: - mx2ta - Maximum temperature at 2 metres anomaly 171202: - mn2ta - Minimum temperature at 2 metres anomaly 171203: - o3a - Ozone mass mixing ratio anomaly 171204: - pawa - Precipitation analysis weights anomaly 171205: - roa - Runoff anomaly 171206: - tco3a - Total column ozone anomaly 171207: - 10sia - 10 metre wind speed anomaly - 10si 171208: - tsrca - Top net solar radiation clear sky anomaly 171209: - ttrca - Top net thermal radiation clear sky anomaly 171210: - ssrca - Surface net solar radiation clear sky anomaly 171211: - strca - Surface net thermal radiation, clear sky anomaly 171212: - sia - Solar insolation anomaly 171214: - dhra - Diabatic heating by radiation anomaly 171215: - dhvda - Diabatic heating by vertical diffusion anomaly 171216: - dhcca - Diabatic heating by cumulus convection anomaly 171217: - dhlca - Diabatic heating by large-scale condensation anomaly 171218: - vdzwa - Vertical diffusion of zonal wind anomaly 171219: - vdmwa - Vertical diffusion of meridional wind anomaly 171220: - ewgda - East-West gravity wave drag tendency anomaly 171221: - nsgda - North-South gravity wave drag tendency anomaly 171222: - ctzwa - Convective tendency of zonal wind anomaly 171223: - ctmwa - Convective tendency of meridional wind anomaly 171224: - vdha - Vertical diffusion of humidity anomaly 171225: - htcca - Humidity tendency by cumulus convection anomaly 171226: - htlca - Humidity tendency by large-scale condensation anomaly 171227: - crnha - Change from removal of negative humidity anomaly 171228: - tpa - Total precipitation anomaly 171229: - iewsa - Instantaneous X surface stress anomaly 171230: - inssa - Instantaneous Y surface stress anomaly 171231: - ishfa - Instantaneous surface heat flux anomaly 171232: - iea - Instantaneous moisture flux anomaly 171233: - asqa - Apparent surface humidity anomaly 171234: - lsrha - Logarithm of surface roughness length for heat anomaly 171235: - skta - Skin temperature anomaly 171236: - stal4 - Soil temperature level 4 anomaly 171237: - swal4 - Soil wetness level 4 anomaly - swl4 171238: - tsna - Temperature of snow layer anomaly 171239: - csfa - Convective snowfall anomaly 171240: - lsfa - Large scale snowfall anomaly 171241: - acfa - Accumulated cloud fraction tendency anomaly 171242: - alwa - Accumulated liquid water tendency anomaly 171243: - fala - Forecast albedo anomaly 171244: - fsra - Forecast surface roughness anomaly 171245: - flsra - Forecast logarithm of surface roughness for heat anomaly 171246: - clwca - Cloud liquid water content anomaly 171247: - ciwca - Cloud ice water content anomaly 171248: - cca - Cloud cover anomaly 171249: - aiwa - Accumulated ice water tendency anomaly 171250: - iaa - Ice age anomaly 171251: - attea - Adiabatic tendency of temperature anomaly 171252: - athea - Adiabatic tendency of humidity anomaly 171253: - atzea - Adiabatic tendency of zonal wind anomaly 171254: - atmwa - Adiabatic tendency of meridional wind anomaly 171255: - _param_171255 - Indicates a missing value 172008: - msror - Time-mean surface runoff rate 172009: - mssror - Time-mean sub-surface runoff rate 172044: - esrate - Time-mean snow evaporation rate - es 172045: - _param_172045 - Time-mean snowmelt rate 172050: - mlspfr - Mean large-scale precipitation fraction - lspf 172142: - mlsprt - Time-mean large-scale precipitation rate - lsp 172143: - cprate - Time-mean convective precipitation rate - cp 172144: - mtsfr - Time-mean total snowfall rate - sf 172145: - bldrate - Boundary layer dissipation 172146: - msshfl - Time-mean surface sensible heat flux - sshf - '146' 172147: - mslhfl - Time-mean surface latent heat flux - slhf - '147' 172149: - msnrf - Mean surface net radiation flux - snr 172153: - mswhr - Time-mean short-wave (solar) heating rate - swhr 172154: - mlwhr - Time-mean long-wave (thermal) heating rate - lwhr 172169: - msdsrf - Time-mean surface downward short-wave (solar) radiation flux - ssrd 172175: - msdtrf - Time-mean surface downward long-wave (thermal) radiation flux - strd 172176: - msnsrf - Time-mean surface net short-wave (solar) radiation flux - ssr 172177: - msntrf - Time-mean surface net long-wave (thermal) radiation flux - str 172178: - mtnsrf - Time-mean top net short-wave (solar) radiation flux - tsr 172179: - mtntrf - Time-mean top net long-wave (thermal) radiation flux - ttr 172180: - ewssra - Time-mean eastward turbulent surface stress - ewss 172181: - nsssra - Time-mean northward turbulent surface stress - nsss 172182: - erate - Time-mean evaporation rate - e 172189: - msdr - Mean sunshine duration rate - sund 172195: - _param_172195 - Longitudinal component of gravity wave stress 172196: - _param_172196 - Meridional component of gravity wave stress 172197: - gwdrate - Gravity wave dissipation 172205: - mrort - Time-mean runoff rate - ro 172208: - _param_172208 - Time-mean top net short-wave (solar) radiation flux, clear sky 172209: - _param_172209 - Time-mean top net long-wave (thermal) radiation flux, clear sky 172210: - _param_172210 - Time-mean surface net short-wave (solar) radiation flux, clear sky 172211: - _param_172211 - Time-mean surface net long-wave (thermal) radiation flux, clear sky 172212: - soira - Time-mean short-wave (solar) insolation rate 172228: - tprate - Time-mean total precipitation rate - tp 172239: - _param_172239 - Time-mean convective snowfall rate 172240: - _param_172240 - Time-mean large-scale snowfall rate 172255: - _param_172255 - Indicates a missing value 173008: - msrora - Mean surface runoff rate anomaly 173009: - mssrora - Mean sub-surface runoff rate anomaly 173044: - _param_173044 - Time-mean snow evaporation anomalous rate of accumulation 173045: - _param_173045 - Time-mean snowmelt anomalous rate of accumulation 173048: - _param_173048 - Magnitude of turbulent surface stress anomaly 173050: - _param_173050 - Large-scale precipitation fraction anomaly 173142: - lspara - Stratiform precipitation (Large-scale precipitation) anomalous rate of accumulation - lspa 173143: - mcpra - Mean convective precipitation rate anomaly - cpa 173144: - sfara - Snowfall (convective + stratiform) anomalous rate of accumulation 173145: - _param_173145 - Boundary layer dissipation anomaly 173146: - sshfara - Surface sensible heat flux anomalous rate of accumulation 173147: - slhfara - Surface latent heat flux anomalous rate of accumulation 173149: - _param_173149 - Surface net radiation anomaly 173153: - _param_173153 - Short-wave heating rate anomaly 173154: - _param_173154 - Long-wave heating rate anomaly 173169: - ssrdara - Surface solar radiation downwards anomalous rate of accumulation - ssrda - ssrd 173175: - strdara - Surface thermal radiation downwards anomalous rate of accumulation - strda 173176: - ssrara - Surface solar radiation anomalous rate of accumulation - ssra - ssr 173177: - strara - Surface thermal radiation anomalous rate of accumulation - stra - str 173178: - tsrara - Top solar radiation anomalous rate of accumulation - tsra - tsr 173179: - ttrara - Top thermal radiation anomalous rate of accumulation - ttra - ttr 173180: - ewssara - East-West surface stress anomalous rate of accumulation 173181: - nsssara - North-South surface stress anomalous rate of accumulation 173182: - evara - Time-mean evaporation anomalous rate of accumulation - ea - e 173189: - sundara - Sunshine duration anomalous rate of accumulation 173195: - _param_173195 - Longitudinal component of gravity wave stress anomaly 173196: - _param_173196 - Meridional component of gravity wave stress anomaly 173197: - _param_173197 - Gravity wave dissipation anomaly 173205: - roara - Runoff anomalous rate of accumulation 173208: - _param_173208 - Top net solar radiation, clear sky anomaly 173209: - _param_173209 - Top net thermal radiation, clear sky anomaly 173210: - _param_173210 - Surface net solar radiation, clear sky anomaly 173211: - _param_173211 - Surface net thermal radiation, clear sky anomaly 173212: - soiara - Solar insolation anomalous rate of accumulation 173228: - tpara - Total precipitation anomalous rate of accumulation 173239: - _param_173239 - Convective snowfall anomaly 173240: - _param_173240 - Large scale snowfall anomaly 173255: - _param_173255 - Indicates a missing value 174006: - _param_174006 - Total soil moisture 174008: - sro - Surface runoff 174010: - sswcsdown - Clear-sky (II) down surface sw flux 174013: - sswcsup - Clear-sky (II) up surface sw flux 174025: - vis15 - Visibility at 1.5m 174031: - _param_174031 - Fraction of sea-ice in sea 174034: - _param_174034 - Open-sea surface temperature 174039: - _param_174039 - Volumetric soil water layer 1 174040: - _param_174040 - Volumetric soil water layer 2 174041: - _param_174041 - Volumetric soil water layer 3 174042: - _param_174042 - Volumetric soil water layer 4 174049: - _param_174049 - 10 metre wind gust in the last 24 hours 174050: - mn15t - Minimum temperature at 1.5m since previous post-processing 174051: - mx15t - Maximum temperature at 1.5m since previous post-processing 174052: - rhum - Relative humidity at 1.5m 174055: - _param_174055 - 1.5m temperature - mean in the last 24 hours 174083: - _param_174083 - Net primary productivity 174085: - _param_174085 - 10m U wind over land 174086: - _param_174086 - 10m V wind over land 174087: - _param_174087 - 1.5m temperature over land 174088: - _param_174088 - 1.5m dewpoint temperature over land 174089: - _param_174089 - Top incoming solar radiation 174090: - _param_174090 - Top outgoing solar radiation 174092: - sialb - Sea ice albedo 174093: - sitemptop - Sea ice surface temperature 174094: - _param_174094 - Mean sea surface temperature 174095: - _param_174095 - 1.5m specific humidity 174096: - 2sh - 2 metre specific humidity 174097: - sisnthick - Sea ice snow thickness 174098: - sithick - Sea-ice thickness 174099: - _param_174099 - Liquid water potential temperature 174110: - _param_174110 - Ocean ice concentration 174111: - _param_174111 - Ocean mean ice depth 174112: - siue - Sea ice velocity along x 174113: - sivn - Sea ice velocity along y 174116: - swrsurf - Short wave radiation flux at surface 174117: - swrtop - Short wave radiation flux at top of atmosphere 174137: - tcwvap - Total column water vapour 174139: - _param_174139 - Soil temperature layer 1 174142: - lsrrate - Large scale rainfall rate 174143: - crfrate - Convective rainfall rate 174164: - _param_174164 - Average potential temperature in upper 293.4m 174167: - _param_174167 - 1.5m temperature 174168: - _param_174168 - 1.5m dewpoint temperature 174170: - _param_174170 - Soil temperature layer 2 174175: - _param_174175 - Average salinity in upper 293.4m 174183: - _param_174183 - Soil temperature layer 3 174186: - vlca - Very low cloud amount 174201: - _param_174201 - 1.5m temperature - maximum in the last 24 hours 174202: - _param_174202 - 1.5m temperature - minimum in the last 24 hours 174236: - _param_174236 - Soil temperature layer 4 174239: - csfrate - Convective snowfall rate 174240: - lsfrate - Large scale snowfall rate 174248: - tccro - Total cloud amount - random overlap 174249: - tcclwr - Total cloud amount in lw radiation 174255: - _param_174255 - Indicates a missing value 175006: - _param_175006 - Total soil moisture 175031: - _param_175031 - Fraction of sea-ice in sea 175034: - _param_175034 - Open-sea surface temperature 175039: - _param_175039 - Volumetric soil water layer 1 175040: - _param_175040 - Volumetric soil water layer 2 175041: - _param_175041 - Volumetric soil water layer 3 175042: - _param_175042 - Volumetric soil water layer 4 175049: - _param_175049 - 10m wind gust in the last 24 hours 175055: - _param_175055 - 1.5m temperature - mean in the last 24 hours 175083: - _param_175083 - Net primary productivity 175085: - _param_175085 - 10m U wind over land 175086: - _param_175086 - 10m V wind over land 175087: - _param_175087 - 1.5m temperature over land 175088: - _param_175088 - 1.5m dewpoint temperature over land 175089: - _param_175089 - Top incoming solar radiation 175090: - _param_175090 - Top outgoing solar radiation 175110: - _param_175110 - Ocean ice concentration 175111: - _param_175111 - Ocean mean ice depth 175139: - _param_175139 - Soil temperature layer 1 175164: - _param_175164 - Average potential temperature in upper 293.4m 175167: - _param_175167 - 1.5m temperature 175168: - _param_175168 - 1.5m dewpoint temperature 175170: - _param_175170 - Soil temperature layer 2 175175: - _param_175175 - Average salinity in upper 293.4m 175183: - _param_175183 - Soil temperature layer 3 175201: - _param_175201 - 1.5m temperature - maximum in the last 24 hours 175202: - _param_175202 - 1.5m temperature - minimum in the last 24 hours 175236: - _param_175236 - Soil temperature layer 4 175255: - _param_175255 - Indicates a missing value 180149: - tsw - Total soil wetness 180176: - ssr - Surface net solar radiation 180177: - str - Surface net thermal radiation 180178: - tsr - Top net solar radiation 180179: - ttr - Top net thermal radiation 190141: - sdsien - Snow depth 190170: - cap - Field capacity 190171: - wiltsien - Wilting point 190173: - sr - Roughness length 190229: - tsm - Total soil moisture 200001: - strfdiff - Stream function difference 200002: - vpotdiff - Velocity potential difference 200003: - ptdiff - Potential temperature difference 200004: - eqptdiff - Equivalent potential temperature difference 200005: - septdiff - Saturated equivalent potential temperature difference 200011: - udvwdiff - U component of divergent wind difference 200012: - vdvwdiff - V component of divergent wind difference 200013: - urtwdiff - U component of rotational wind difference 200014: - vrtwdiff - V component of rotational wind difference 200021: - uctpdiff - Unbalanced component of temperature difference 200022: - uclndiff - Unbalanced component of logarithm of surface pressure difference 200023: - ucdvdiff - Unbalanced component of divergence difference 200024: - _param_200024 - Reserved for future unbalanced components 200025: - _param_200025 - Reserved for future unbalanced components 200026: - cldiff - Lake cover difference 200027: - cvldiff - Low vegetation cover difference 200028: - cvhdiff - High vegetation cover difference 200029: - tvldiff - Type of low vegetation difference 200030: - tvhdiff - Type of high vegetation difference 200031: - sicdiff - Sea-ice cover difference 200032: - asndiff - Snow albedo difference 200033: - rsndiff - Snow density difference 200034: - sstdiff - Sea surface temperature difference 200035: - istl1diff - Ice surface temperature layer 1 difference 200036: - istl2diff - Ice surface temperature layer 2 difference 200037: - istl3diff - Ice surface temperature layer 3 difference 200038: - istl4diff - Ice surface temperature layer 4 difference 200039: - swvl1diff - Volumetric soil water layer 1 difference 200040: - swvl2diff - Volumetric soil water layer 2 difference 200041: - swvl3diff - Volumetric soil water layer 3 difference 200042: - swvl4diff - Volumetric soil water layer 4 difference 200043: - sltdiff - Soil type difference 200044: - esdiff - Snow evaporation difference 200045: - smltdiff - Snowmelt difference 200046: - sdurdiff - Solar duration difference 200047: - dsrpdiff - Direct solar radiation difference 200048: - magssdiff - Magnitude of turbulent surface stress difference 200049: - 10fgdiff - 10 metre wind gust difference 200050: - lspfdiff - Large-scale precipitation fraction difference 200051: - mx2t24diff - Maximum 2 metre temperature difference 200052: - mn2t24diff - Minimum 2 metre temperature difference 200053: - montdiff - Montgomery potential difference 200054: - presdiff - Pressure difference 200055: - mean2t24diff - Mean 2 metre temperature in the last 24 hours difference 200056: - mn2d24diff - Mean 2 metre dewpoint temperature in the last 24 hours difference 200057: - uvbdiff - Downward UV radiation at the surface difference 200058: - pardiff - Photosynthetically active radiation at the surface difference 200059: - capediff - Convective available potential energy difference 200060: - pvdiff - Potential vorticity difference 200061: - tpodiff - Total precipitation from observations difference 200062: - obctdiff - Observation count difference 200063: - _param_200063 - Start time for skin temperature difference 200064: - _param_200064 - Finish time for skin temperature difference 200065: - _param_200065 - Skin temperature difference 200066: - _param_200066 - Leaf area index, low vegetation 200067: - _param_200067 - Leaf area index, high vegetation 200070: - _param_200070 - Biome cover, low vegetation 200071: - _param_200071 - Biome cover, high vegetation 200078: - _param_200078 - Total column liquid water 200079: - _param_200079 - Total column ice water 200080: - _param_200080 - Experimental product 200081: - _param_200081 - Experimental product 200082: - _param_200082 - Experimental product 200083: - _param_200083 - Experimental product 200084: - _param_200084 - Experimental product 200085: - _param_200085 - Experimental product 200086: - _param_200086 - Experimental product 200087: - _param_200087 - Experimental product 200088: - _param_200088 - Experimental product 200089: - _param_200089 - Experimental product 200090: - _param_200090 - Experimental product 200091: - _param_200091 - Experimental product 200092: - _param_200092 - Experimental product 200093: - _param_200093 - Experimental product 200094: - _param_200094 - Experimental product 200095: - _param_200095 - Experimental product 200096: - _param_200096 - Experimental product 200097: - _param_200097 - Experimental product 200098: - _param_200098 - Experimental product 200099: - _param_200099 - Experimental product 200100: - _param_200100 - Experimental product 200101: - _param_200101 - Experimental product 200102: - _param_200102 - Experimental product 200103: - _param_200103 - Experimental product 200104: - _param_200104 - Experimental product 200105: - _param_200105 - Experimental product 200106: - _param_200106 - Experimental product 200107: - _param_200107 - Experimental product 200108: - _param_200108 - Experimental product 200109: - _param_200109 - Experimental product 200110: - _param_200110 - Experimental product 200111: - _param_200111 - Experimental product 200112: - _param_200112 - Experimental product 200113: - _param_200113 - Experimental product 200114: - _param_200114 - Experimental product 200115: - _param_200115 - Experimental product 200116: - _param_200116 - Experimental product 200117: - _param_200117 - Experimental product 200118: - _param_200118 - Experimental product 200119: - _param_200119 - Experimental product 200120: - _param_200120 - Experimental product 200121: - mx2t6diff - Maximum temperature at 2 metres difference 200122: - mn2t6diff - Minimum temperature at 2 metres difference 200123: - 10fg6diff - 10 metre wind gust in the last 6 hours difference 200125: - _param_200125 - Vertically integrated total energy 200126: - _param_200126 - Generic parameter for sensitive area prediction 200127: - atdiff - Atmospheric tide difference 200128: - bvdiff - Budget values difference 200129: - zdiff - Geopotential difference 200130: - tdiff - Temperature difference 200131: - udiff - U component of wind difference 200132: - vdiff - V component of wind difference 200133: - qdiff - Specific humidity difference 200134: - spdiff - Surface pressure difference 200135: - wdiff - Vertical velocity (pressure) difference 200136: - tcwdiff - Total column water difference 200137: - tcwvdiff - Total column water vapour difference 200138: - vodiff - Vorticity (relative) difference 200139: - stl1diff - Soil temperature level 1 difference 200140: - swl1diff - Soil wetness level 1 difference 200141: - sddiff - Snow depth difference 200142: - lspdiff - Stratiform precipitation (Large-scale precipitation) difference 200143: - cpdiff - Convective precipitation difference 200144: - sfdiff - Snowfall (convective + stratiform) difference 200145: - blddiff - Boundary layer dissipation difference 200146: - sshfdiff - Surface sensible heat flux difference 200147: - slhfdiff - Surface latent heat flux difference 200148: - chnkdiff - Charnock difference 200149: - snrdiff - Surface net radiation difference 200150: - tnrdiff - Top net radiation difference 200151: - msldiff - Mean sea level pressure difference 200152: - lnspdiff - Logarithm of surface pressure difference 200153: - swhrdiff - Short-wave heating rate difference 200154: - lwhrdiff - Long-wave heating rate difference 200155: - ddiff - Divergence difference 200156: - ghdiff - Height difference 200157: - rdiff - Relative humidity difference 200158: - tspdiff - Tendency of surface pressure difference 200159: - blhdiff - Boundary layer height difference 200160: - sdordiff - Standard deviation of orography difference 200161: - isordiff - Anisotropy of sub-gridscale orography difference 200162: - anordiff - Angle of sub-gridscale orography difference 200163: - slordiff - Slope of sub-gridscale orography difference 200164: - tccdiff - Total cloud cover difference 200165: - 10udiff - 10 metre U wind component difference 200166: - 10vdiff - 10 metre V wind component difference 200167: - 2tdiff - 2 metre temperature difference 200168: - 2ddiff - 2 metre dewpoint temperature difference 200169: - ssrddiff - Surface solar radiation downwards difference 200170: - stl2diff - Soil temperature level 2 difference 200171: - swl2diff - Soil wetness level 2 difference 200172: - lsmdiff - Land-sea mask difference 200173: - srdiff - Surface roughness difference 200174: - aldiff - Albedo difference 200175: - strddiff - Surface thermal radiation downwards difference 200176: - ssrdiff - Surface net solar radiation difference 200177: - strdiff - Surface net thermal radiation difference 200178: - tsrdiff - Top net solar radiation difference 200179: - ttrdiff - Top net thermal radiation difference 200180: - ewssdiff - East-West surface stress difference 200181: - nsssdiff - North-South surface stress difference 200182: - ediff - Evaporation difference 200183: - stl3diff - Soil temperature level 3 difference 200184: - swl3diff - Soil wetness level 3 difference 200185: - cccdiff - Convective cloud cover difference 200186: - lccdiff - Low cloud cover difference 200187: - mccdiff - Medium cloud cover difference 200188: - hccdiff - High cloud cover difference 200189: - sunddiff - Sunshine duration difference 200190: - ewovdiff - East-West component of sub-gridscale orographic variance difference 200191: - nsovdiff - North-South component of sub-gridscale orographic variance difference 200192: - nwovdiff - North-West/South-East component of sub-gridscale orographic variance difference 200193: - neovdiff - North-East/South-West component of sub-gridscale orographic variance difference 200194: - btmpdiff - Brightness temperature difference 200195: - lgwsdiff - Longitudinal component of gravity wave stress difference 200196: - mgwsdiff - Meridional component of gravity wave stress difference 200197: - gwddiff - Gravity wave dissipation difference 200198: - srcdiff - Skin reservoir content difference 200199: - vegdiff - Vegetation fraction difference 200200: - vsodiff - Variance of sub-gridscale orography difference 200201: - mx2tdiff - Maximum temperature at 2 metres since previous post-processing difference 200202: - mn2tdiff - Minimum temperature at 2 metres since previous post-processing difference 200203: - o3diff - Ozone mass mixing ratio difference 200204: - pawdiff - Precipitation analysis weights difference 200205: - rodiff - Runoff difference 200206: - tco3diff - Total column ozone difference 200207: - 10sidiff - 10 metre wind speed difference 200208: - tsrcdiff - Top net solar radiation, clear sky difference 200209: - ttrcdiff - Top net thermal radiation, clear sky difference 200210: - ssrcdiff - Surface net solar radiation, clear sky difference 200211: - strcdiff - Surface net thermal radiation, clear sky difference 200212: - tisrdiff - TOA incident solar radiation difference 200214: - dhrdiff - Diabatic heating by radiation difference 200215: - dhvddiff - Diabatic heating by vertical diffusion difference 200216: - dhccdiff - Diabatic heating by cumulus convection difference 200217: - dhlcdiff - Diabatic heating large-scale condensation difference 200218: - vdzwdiff - Vertical diffusion of zonal wind difference 200219: - vdmwdiff - Vertical diffusion of meridional wind difference 200220: - ewgddiff - East-West gravity wave drag tendency difference 200221: - nsgddiff - North-South gravity wave drag tendency difference 200222: - ctzwdiff - Convective tendency of zonal wind difference 200223: - ctmwdiff - Convective tendency of meridional wind difference 200224: - vdhdiff - Vertical diffusion of humidity difference 200225: - htccdiff - Humidity tendency by cumulus convection difference 200226: - htlcdiff - Humidity tendency by large-scale condensation difference 200227: - crnhdiff - Change from removal of negative humidity difference 200228: - tpdiff - Total precipitation difference 200229: - iewsdiff - Instantaneous X surface stress difference 200230: - inssdiff - Instantaneous Y surface stress difference 200231: - ishfdiff - Instantaneous surface heat flux difference 200232: - iediff - Instantaneous moisture flux difference 200233: - asqdiff - Apparent surface humidity difference 200234: - lsrhdiff - Logarithm of surface roughness length for heat difference 200235: - sktdiff - Skin temperature difference 200236: - stl4diff - Soil temperature level 4 difference 200237: - swl4diff - Soil wetness level 4 difference 200238: - tsndiff - Temperature of snow layer difference 200239: - csfdiff - Convective snowfall difference 200240: - lsfdiff - Large scale snowfall difference 200241: - acfdiff - Accumulated cloud fraction tendency difference 200242: - alwdiff - Accumulated liquid water tendency difference 200243: - faldiff - Forecast albedo difference 200244: - fsrdiff - Forecast surface roughness difference 200245: - flsrdiff - Forecast logarithm of surface roughness for heat difference 200246: - clwcdiff - Specific cloud liquid water content difference 200247: - ciwcdiff - Specific cloud ice water content difference 200248: - ccdiff - Cloud cover difference 200249: - aiwdiff - Accumulated ice water tendency difference 200250: - icediff - Ice age difference 200251: - attediff - Adiabatic tendency of temperature difference 200252: - athediff - Adiabatic tendency of humidity difference 200253: - atzediff - Adiabatic tendency of zonal wind difference 200254: - atmwdiff - Adiabatic tendency of meridional wind difference 200255: - _param_200255 - Indicates a missing value 201001: - _param_201001 - downward shortwave radiant flux density 201002: - _param_201002 - upward shortwave radiant flux density 201003: - _param_201003 - downward longwave radiant flux density 201004: - _param_201004 - upward longwave radiant flux density 201005: - apab_s - downwd photosynthetic active radiant flux density 201006: - _param_201006 - net shortwave flux 201007: - _param_201007 - net longwave flux 201008: - _param_201008 - total net radiative flux density 201009: - _param_201009 - downw shortw radiant flux density, cloudfree part 201010: - _param_201010 - upw shortw radiant flux density, cloudy part 201011: - _param_201011 - downw longw radiant flux density, cloudfree part 201012: - _param_201012 - upw longw radiant flux density, cloudy part 201013: - sohr_rad - shortwave radiative heating rate 201014: - thhr_rad - longwave radiative heating rate 201015: - _param_201015 - total radiative heating rate 201016: - _param_201016 - soil heat flux, surface 201017: - _param_201017 - soil heat flux, bottom of layer 201029: - clc - fractional cloud cover 201030: - _param_201030 - cloud cover, grid scale 201031: - qc - specific cloud water content 201032: - _param_201032 - cloud water content, grid scale, vert integrated 201033: - qi - specific cloud ice content, grid scale 201034: - _param_201034 - cloud ice content, grid scale, vert integrated 201035: - _param_201035 - specific rainwater content, grid scale 201036: - _param_201036 - specific snow content, grid scale 201037: - _param_201037 - specific rainwater content, gs, vert. integrated 201038: - _param_201038 - specific snow content, gs, vert. integrated 201041: - twater - total column water 201042: - _param_201042 - vert. integral of divergence of tot. water content 201050: - ch_cm_cl - cloud covers CH_CM_CL (000...888) 201051: - _param_201051 - cloud cover CH (0..8) 201052: - _param_201052 - cloud cover CM (0..8) 201053: - _param_201053 - cloud cover CL (0..8) 201054: - _param_201054 - total cloud cover (0..8) 201055: - _param_201055 - fog (0..8) 201056: - _param_201056 - fog 201060: - _param_201060 - cloud cover, convective cirrus 201061: - _param_201061 - specific cloud water content, convective clouds 201062: - _param_201062 - cloud water content, conv clouds, vert integrated 201063: - _param_201063 - specific cloud ice content, convective clouds 201064: - _param_201064 - cloud ice content, conv clouds, vert integrated 201065: - _param_201065 - convective mass flux 201066: - _param_201066 - Updraft velocity, convection 201067: - _param_201067 - entrainment parameter, convection 201068: - hbas_con - cloud base, convective clouds (above msl) 201069: - htop_con - cloud top, convective clouds (above msl) 201070: - _param_201070 - convective layers (00...77) (BKE) 201071: - _param_201071 - KO-index 201072: - bas_con - convection base index 201073: - top_con - convection top index 201074: - dt_con - convective temperature tendency 201075: - dqv_con - convective tendency of specific humidity 201076: - _param_201076 - convective tendency of total heat 201077: - _param_201077 - convective tendency of total water 201078: - du_con - convective momentum tendency (X-component) 201079: - dv_con - convective momentum tendency (Y-component) 201080: - _param_201080 - convective vorticity tendency 201081: - _param_201081 - convective divergence tendency 201082: - htop_dc - top of dry convection (above msl) 201083: - _param_201083 - dry convection top index 201084: - hzerocl - height of 0 degree Celsius isotherm above msl 201085: - snowlmt - height of snow-fall limit 201099: - qrs_gsp - spec. content of precip. particles 201100: - prr_gsp - surface precipitation rate, rain, grid scale 201101: - prs_gsp - surface precipitation rate, snow, grid scale 201102: - rain_gsp - surface precipitation amount, rain, grid scale 201111: - prr_con - surface precipitation rate, rain, convective 201112: - prs_con - surface precipitation rate, snow, convective 201113: - rain_con - surface precipitation amount, rain, convective 201150: - _param_201150 - coefficient of horizontal diffusion 201187: - vmax_10m - Maximum wind velocity 201200: - w_i - water content of interception store 201203: - t_snow - snow temperature 201215: - t_ice - ice surface temperature 201241: - cape_con - convective available potential energy 201255: - _param_201255 - Indicates a missing value 210001: - aermr01 - Sea Salt Aerosol (0.03 - 0.5 um) Mixing Ratio 210002: - aermr02 - Sea Salt Aerosol (0.5 - 5 um) Mixing Ratio 210003: - aermr03 - Sea Salt Aerosol (5 - 20 um) Mixing Ratio 210004: - aermr04 - Dust Aerosol (0.03 - 0.55 um) Mixing Ratio 210005: - aermr05 - Dust Aerosol (0.55 - 0.9 um) Mixing Ratio 210006: - aermr06 - Dust Aerosol (0.9 - 20 um) Mixing Ratio 210007: - aermr07 - Hydrophilic Organic Matter Aerosol Mixing Ratio 210008: - aermr08 - Hydrophobic Organic Matter Aerosol Mixing Ratio 210009: - aermr09 - Hydrophilic Black Carbon Aerosol Mixing Ratio 210010: - aermr10 - Hydrophobic Black Carbon Aerosol Mixing Ratio 210011: - aermr11 - Sulphate Aerosol Mixing Ratio 210012: - aermr12 - SO2 precursor mixing ratio 210013: - aermr13 - Volcanic ash aerosol mixing ratio 210014: - aermr14 - Volcanic sulphate aerosol mixing ratio 210015: - aermr15 - Volcanic SO2 precursor mixing ratio 210016: - aergn01 - Aerosol type 1 source/gain accumulated 210017: - aergn02 - Aerosol type 2 source/gain accumulated 210018: - aergn03 - Aerosol type 3 source/gain accumulated 210019: - aergn04 - Aerosol type 4 source/gain accumulated 210020: - aergn05 - Aerosol type 5 source/gain accumulated 210021: - aergn06 - Aerosol type 6 source/gain accumulated 210022: - aergn07 - Aerosol type 7 source/gain accumulated 210023: - aergn08 - Aerosol type 8 source/gain accumulated 210024: - aergn09 - Aerosol type 9 source/gain accumulated 210025: - aergn10 - Aerosol type 10 source/gain accumulated 210026: - aergn11 - Aerosol type 11 source/gain accumulated 210027: - aergn12 - Aerosol type 12 source/gain accumulated 210028: - aerpr03 - SO4 aerosol precursor mass mixing ratio 210029: - aerwv01 - Water vapour mixing ratio for hydrophilic aerosols in mode 1 210030: - aerwv02 - Water vapour mixing ratio for hydrophilic aerosols in mode 2 210031: - aerls01 - Aerosol type 1 sink/loss accumulated 210032: - aerls02 - Aerosol type 2 sink/loss accumulated 210033: - aerls03 - Aerosol type 3 sink/loss accumulated 210034: - aerls04 - Aerosol type 4 sink/loss accumulated 210035: - aerls05 - Aerosol type 5 sink/loss accumulated 210036: - aerls06 - Aerosol type 6 sink/loss accumulated 210037: - aerls07 - Aerosol type 7 sink/loss accumulated 210038: - aerls08 - Aerosol type 8 sink/loss accumulated 210039: - aerls09 - Aerosol type 9 sink/loss accumulated 210040: - aerls10 - Aerosol type 10 sink/loss accumulated 210041: - aerls11 - Aerosol type 11 sink/loss accumulated 210042: - aerls12 - Aerosol type 12 sink/loss accumulated 210043: - emdms - DMS surface emission 210044: - aerwv03 - Water vapour mixing ratio for hydrophilic aerosols in mode 3 210045: - aerwv04 - Water vapour mixing ratio for hydrophilic aerosols in mode 4 210046: - aerpr - Aerosol precursor mixing ratio 210047: - aersm - Aerosol small mode mixing ratio 210048: - aerlg - Aerosol large mode mixing ratio 210049: - aodpr - Aerosol precursor optical depth 210050: - aodsm - Aerosol small mode optical depth 210051: - aodlg - Aerosol large mode optical depth 210052: - aerdep - Dust emission potential 210053: - aerlts - Lifting threshold speed 210054: - aerscc - Soil clay content 210055: - _param_210055 - Experimental product 210056: - _param_210056 - Experimental product 210057: - ocnuc - Mixing ration of organic carbon aerosol, nucleation mode 210058: - monot - Monoterpene precursor mixing ratio 210059: - soapr - Secondary organic precursor mixing ratio 210060: - injh - Injection height (from IS4FIRES) 210061: - co2 - Carbon dioxide mass mixing ratio 210062: - ch4 - Methane 210063: - n2o - Nitrous oxide 210064: - tcco2 - CO2 column-mean molar fraction 210065: - tcch4 - CH4 column-mean molar fraction 210066: - tcn2o - Total column Nitrous oxide 210067: - co2of - Ocean flux of Carbon Dioxide 210068: - co2nbf - Natural biosphere flux of Carbon Dioxide 210069: - co2apf - Anthropogenic emissions of Carbon Dioxide 210070: - ch4f - Methane Surface Fluxes 210071: - kch4 - Methane loss rate due to radical hydroxyl (OH) 210072: - pm1 - Particulate matter d <= 1 um 210073: - pm2p5 - Particulate matter d <= 2.5 um 210074: - pm10 - Particulate matter d <= 10 um 210079: - vafire - Wildfire viewing angle of observation 210080: - co2fire - Wildfire flux of Carbon Dioxide 210081: - cofire - Wildfire flux of Carbon Monoxide 210082: - ch4fire - Wildfire flux of Methane 210083: - nmhcfire - Wildfire flux of Non-Methane Hydro-Carbons 210084: - h2fire - Wildfire flux of Hydrogen 210085: - noxfire - Wildfire flux of Nitrogen Oxides NOx 210086: - n2ofire - Wildfire flux of Nitrous Oxide 210087: - pm2p5fire - Wildfire flux of Particulate Matter PM2.5 210088: - tpmfire - Wildfire flux of Total Particulate Matter 210089: - tcfire - Wildfire flux of Total Carbon in Aerosols 210090: - ocfire - Wildfire flux of Organic Carbon 210091: - bcfire - Wildfire flux of Black Carbon 210092: - cfire - Wildfire overall flux of burnt Carbon 210093: - c4ffire - Wildfire fraction of C4 plants 210094: - vegfire - Wildfire vegetation map index 210095: - ccfire - Wildfire Combustion Completeness 210096: - flfire - 'Wildfire Fuel Load: Carbon per unit area' 210097: - offire - Wildfire fraction of area observed 210098: - nofrp - Number of positive FRP pixels per grid cell 210099: - frpfire - Wildfire radiative power 210100: - crfire - Wildfire combustion rate 210101: - maxfrpfire - Wildfire radiative power maximum 210102: - so2fire - Wildfire flux of Sulfur Dioxide 210103: - ch3ohfire - Wildfire Flux of Methanol (CH3OH) 210104: - c2h5ohfire - Wildfire Flux of Ethanol (C2H5OH) 210105: - c3h8fire - Wildfire Flux of Propane (C3H8) 210106: - c2h4fire - Wildfire Flux of Ethene (C2H4) 210107: - c3h6fire - Wildfire Flux of Propene (C3H6) 210108: - c5h8fire - Wildfire Flux of Isoprene (C5H8) 210109: - terpenesfire - Wildfire Flux of Terpenes (C5H8)n 210110: - toluenefire - Wildfire Flux of Toluene_lump (C7H8+ C6H6 + C8H10) 210111: - hialkenesfire - Wildfire Flux of Higher Alkenes (CnH2n, C>=4) 210112: - hialkanesfire - Wildfire Flux of Higher Alkanes (CnH2n+2, C>=4) 210113: - ch2ofire - Wildfire Flux of Formaldehyde (CH2O) 210114: - c2h4ofire - Wildfire Flux of Acetaldehyde (C2H4O) 210115: - c3h6ofire - Wildfire Flux of Acetone (C3H6O) 210116: - nh3fire - Wildfire Flux of Ammonia (NH3) 210117: - c2h6sfire - Wildfire Flux of Dimethyl Sulfide (DMS) (C2H6S) 210118: - c2h6fire - Wildfire Flux of Ethane (C2H6) 210119: - mami - Mean height of maximum injection 210120: - apt - Plume top height above surface 210121: - no2 - Nitrogen dioxide mass mixing ratio 210122: - so2 - Sulphur dioxide mass mixing ratio 210123: - co - Carbon monoxide mass mixing ratio 210124: - hcho - Formaldehyde 210125: - tcno2 - Total column Nitrogen dioxide 210126: - tcso2 - Total column Sulphur dioxide 210127: - tcco - Total column Carbon monoxide 210128: - tchcho - Total column Formaldehyde 210129: - nox - Nitrogen Oxides 210130: - tcnox - Total Column Nitrogen Oxides 210131: - grg1 - Reactive tracer 1 mass mixing ratio 210132: - tcgrg1 - Total column GRG tracer 1 210133: - grg2 - Reactive tracer 2 mass mixing ratio 210134: - tcgrg2 - Total column GRG tracer 2 210135: - grg3 - Reactive tracer 3 mass mixing ratio 210136: - tcgrg3 - Total column GRG tracer 3 210137: - grg4 - Reactive tracer 4 mass mixing ratio 210138: - tcgrg4 - Total column GRG tracer 4 210139: - grg5 - Reactive tracer 5 mass mixing ratio 210140: - tcgrg5 - Total column GRG tracer 5 210141: - grg6 - Reactive tracer 6 mass mixing ratio 210142: - tcgrg6 - Total column GRG tracer 6 210143: - grg7 - Reactive tracer 7 mass mixing ratio 210144: - tcgrg7 - Total column GRG tracer 7 210145: - grg8 - Reactive tracer 8 mass mixing ratio 210146: - tcgrg8 - Total column GRG tracer 8 210147: - grg9 - Reactive tracer 9 mass mixing ratio 210148: - tcgrg9 - Total column GRG tracer 9 210149: - grg10 - Reactive tracer 10 mass mixing ratio 210150: - tcgrg10 - Total column GRG tracer 10 210151: - sfnox - Surface flux Nitrogen oxides 210152: - sfno2 - Surface flux Nitrogen dioxide 210153: - sfso2 - Surface flux Sulphur dioxide 210154: - sfco2 - Surface flux Carbon monoxide 210155: - sfhcho - Surface flux Formaldehyde 210156: - sfgo3 - Surface flux GEMS Ozone 210157: - sfgr1 - Surface flux reactive tracer 1 210158: - sfgr2 - Surface flux reactive tracer 2 210159: - sfgr3 - Surface flux reactive tracer 3 210160: - sfgr4 - Surface flux reactive tracer 4 210161: - sfgr5 - Surface flux reactive tracer 5 210162: - sfgr6 - Surface flux reactive tracer 6 210163: - sfgr7 - Surface flux reactive tracer 7 210164: - sfgr8 - Surface flux reactive tracer 8 210165: - sfgr9 - Surface flux reactive tracer 9 210166: - sfgr10 - Surface flux reactive tracer 10 210167: - frpdayfire - Wildfire day-time radiative power 210169: - frpngtfire - Wildfire night-time radiative power 210170: - vso2 - Volcanic sulfur dioxide mass mixing ratio 210177: - frpdayivar - Wildfire day-time inverse variance of radiative power 210179: - frpngtivar - Wildfire night-time inverse variance of radiative power 210181: - ra - Radon 210182: - sf6 - Sulphur Hexafluoride 210183: - tcra - Total column Radon 210184: - tcsf6 - Total column Sulphur Hexafluoride 210185: - sf6apf - Anthropogenic Emissions of Sulphur Hexafluoride 210186: - aluvpi - UV visible albedo for direct radiation, isotropic component (climatological) 210187: - aluvpv - UV visible albedo for direct radiation, volumetric component (climatological) 210188: - aluvpg - UV visible albedo for direct radiation, geometric component (climatological) 210189: - alnipi - Near IR albedo for direct radiation, isotropic component (climatological) 210190: - alnipv - Near IR albedo for direct radiation, volumetric component (climatological) 210191: - alnipg - Near IR albedo for direct radiation, geometric component (climatological) 210192: - aluvdi - UV visible albedo for diffuse radiation, isotropic component (climatological) 210193: - aluvdv - UV visible albedo for diffuse radiation, volumetric component (climatological) 210194: - aluvdg - UV visible albedo for diffuse radiation, geometric component (climatological) 210195: - alnidi - Near IR albedo for diffuse radiation, isotropic component (climatological) 210196: - alnidv - Near IR albedo for diffuse radiation, volumetric component (climatological) 210197: - alnidg - Near IR albedo for diffuse radiation, geometric component (climatological) 210198: - aluvd_p - UV visible albedo for diffuse radiation (climatological) 210199: - aluvp_p - UV visible albedo for direct radiation (climatological) 210200: - aluvpg_p - UV visible albedo for direct radiation, geometric component (climatological) 210201: - aluvpi_p - UV visible albedo for direct radiation, isotropic component (climatological) 210202: - aluvpv_p - UV visible albedo for direct radiation, volumetric component (climatological) 210203: - go3 - Ozone mass mixing ratio (full chemistry scheme) 210206: - gtco3 - GEMS Total column ozone 210207: - aod550 - Total Aerosol Optical Depth at 550nm 210208: - ssaod550 - Sea Salt Aerosol Optical Depth at 550nm 210209: - duaod550 - Dust Aerosol Optical Depth at 550nm 210210: - omaod550 - Organic Matter Aerosol Optical Depth at 550nm 210211: - bcaod550 - Black Carbon Aerosol Optical Depth at 550nm 210212: - suaod550 - Sulphate Aerosol Optical Depth at 550nm 210213: - aod469 - Total Aerosol Optical Depth at 469nm 210214: - aod670 - Total Aerosol Optical Depth at 670nm 210215: - aod865 - Total Aerosol Optical Depth at 865nm 210216: - aod1240 - Total Aerosol Optical Depth at 1240nm 210217: - aod340 - Total aerosol optical depth at 340 nm 210218: - aod355 - Total aerosol optical depth at 355 nm 210219: - aod380 - Total aerosol optical depth at 380 nm 210220: - aod400 - Total aerosol optical depth at 400 nm 210221: - aod440 - Total aerosol optical depth at 440 nm 210222: - aod500 - Total aerosol optical depth at 500 nm 210223: - aod532 - Total aerosol optical depth at 532 nm 210224: - aod645 - Total aerosol optical depth at 645 nm 210225: - aod800 - Total aerosol optical depth at 800 nm 210226: - aod858 - Total aerosol optical depth at 858 nm 210227: - aod1020 - Total aerosol optical depth at 1020 nm 210228: - aod1064 - Total aerosol optical depth at 1064 nm 210229: - aod1640 - Total aerosol optical depth at 1640 nm 210230: - aod2130 - Total aerosol optical depth at 2130 nm 210231: - c7h8fire - Wildfire Flux of Toluene (C7H8) 210232: - c6h6fire - Wildfire Flux of Benzene (C6H6) 210233: - c8h10fire - Wildfire Flux of Xylene (C8H10) 210234: - c4h8fire - Wildfire Flux of Butenes (C4H8) 210235: - c5h10fire - Wildfire Flux of Pentenes (C5H10) 210236: - c6h12fire - Wildfire Flux of Hexene (C6H12) 210237: - c8h16fire - Wildfire Flux of Octene (C8H16) 210238: - c4h10fire - Wildfire Flux of Butanes (C4H10) 210239: - c5h12fire - Wildfire Flux of Pentanes (C5H12) 210240: - c6h14fire - Wildfire Flux of Hexanes (C6H14) 210241: - c7h16fire - Wildfire Flux of Heptane (C7H16) 210242: - apb - Plume bottom height above surface 210243: - vsuaod550 - Volcanic sulphate aerosol optical depth at 550 nm 210244: - vashaod550 - Volcanic ash optical depth at 550 nm 210245: - taedec550 - Profile of total aerosol dry extinction coefficient 210246: - taedab550 - Profile of total aerosol dry absorption coefficient 210247: - aermr16 - Nitrate fine mode aerosol mass mixing ratio 210248: - aermr17 - Nitrate coarse mode aerosol mass mixing ratio 210249: - aermr18 - Ammonium aerosol mass mixing ratio 210250: - niaod550 - Nitrate aerosol optical depth at 550 nm 210251: - amaod550 - Ammonium aerosol optical depth at 550 nm 210252: - aermr19 - Biogenic secondary organic aerosol mass mixing ratio 210253: - aermr20 - Anthropogenic secondary organic aerosol mass mixing ratio 210260: - alnid_p - Near IR albedo for diffuse radiation (climatological) 210261: - alnip_p - Near IR albedo for direct radiation (climatological) 210262: - alnipg_p - Near IR albedo for direct radiation, geometric component (climatological) 210263: - alnipi_p - Near IR albedo for direct radiation, isotropic component (climatological) 210264: - alnipv_p - Near IR albedo for direct radiation, volumetric component (climatological) 211001: - aermr01diff - Sea Salt Aerosol (0.03 - 0.5 um) Mixing Ratio 211002: - aermr02diff - Sea Salt Aerosol (0.5 - 5 um) Mixing Ratio 211003: - aermr03diff - Sea Salt Aerosol (5 - 20 um) Mixing Ratio 211004: - aermr04diff - Dust Aerosol (0.03 - 0.55 um) Mixing Ratio 211005: - aermr05diff - Dust Aerosol (0.55 - 0.9 um) Mixing Ratio 211006: - aermr06diff - Dust Aerosol (0.9 - 20 um) Mixing Ratio 211007: - aermr07diff - Hydrophilic Organic Matter Aerosol Mixing Ratio 211008: - aermr08diff - Hydrophobic Organic Matter Aerosol Mixing Ratio 211009: - aermr09diff - Hydrophilic Black Carbon Aerosol Mixing Ratio 211010: - aermr10diff - Hydrophobic Black Carbon Aerosol Mixing Ratio 211011: - aermr11diff - Sulphate Aerosol Mixing Ratio 211012: - aermr12diff - Aerosol type 12 mixing ratio 211013: - aermr13diff - Aerosol type 13 mass mixing ratio 211014: - aermr14diff - Aerosol type 14 mass mixing ratio 211015: - aermr15diff - Aerosol type 15 mass mixing ratio 211016: - aergn01diff - Aerosol type 1 source/gain accumulated 211017: - aergn02diff - Aerosol type 2 source/gain accumulated 211018: - aergn03diff - Aerosol type 3 source/gain accumulated 211019: - aergn04diff - Aerosol type 4 source/gain accumulated 211020: - aergn05diff - Aerosol type 5 source/gain accumulated 211021: - aergn06diff - Aerosol type 6 source/gain accumulated 211022: - aergn07diff - Aerosol type 7 source/gain accumulated 211023: - aergn08diff - Aerosol type 8 source/gain accumulated 211024: - aergn09diff - Aerosol type 9 source/gain accumulated 211025: - aergn10diff - Aerosol type 10 source/gain accumulated 211026: - aergn11diff - Aerosol type 11 source/gain accumulated 211027: - aergn12diff - Aerosol type 12 source/gain accumulated 211028: - aerpr03diff - SO4 aerosol precursor mass mixing ratio 211029: - aerwv01diff - Water vapour mixing ratio for hydrophilic aerosols in mode 1 211030: - aerwv02diff - Water vapour mixing ratio for hydrophilic aerosols in mode 2 211031: - aerls01diff - Aerosol type 1 sink/loss accumulated 211032: - aerls02diff - Aerosol type 2 sink/loss accumulated 211033: - aerls03diff - Aerosol type 3 sink/loss accumulated 211034: - aerls04diff - Aerosol type 4 sink/loss accumulated 211035: - aerls05diff - Aerosol type 5 sink/loss accumulated 211036: - aerls06diff - Aerosol type 6 sink/loss accumulated 211037: - aerls07diff - Aerosol type 7 sink/loss accumulated 211038: - aerls08diff - Aerosol type 8 sink/loss accumulated 211039: - aerls09diff - Aerosol type 9 sink/loss accumulated 211040: - aerls10diff - Aerosol type 10 sink/loss accumulated 211041: - aerls11diff - Aerosol type 11 sink/loss accumulated 211042: - aerls12diff - Aerosol type 12 sink/loss accumulated 211043: - emdmsdiff - DMS surface emission 211044: - aerwv03diff - Water vapour mixing ratio for hydrophilic aerosols in mode 3 211045: - aerwv04diff - Water vapour mixing ratio for hydrophilic aerosols in mode 4 211046: - aerprdiff - Aerosol precursor mixing ratio 211047: - aersmdiff - Aerosol small mode mixing ratio 211048: - aerlgdiff - Aerosol large mode mixing ratio 211049: - aodprdiff - Aerosol precursor optical depth 211050: - aodsmdiff - Aerosol small mode optical depth 211051: - aodlgdiff - Aerosol large mode optical depth 211052: - aerdepdiff - Dust emission potential 211053: - aerltsdiff - Lifting threshold speed 211054: - aersccdiff - Soil clay content 211055: - _param_211055 - Experimental product 211056: - _param_211056 - Experimental product 211059: - h2odiff - Water vapour (chemistry) difference 211061: - co2diff - Carbon Dioxide 211062: - ch4diff - Methane 211063: - n2odiff - Nitrous oxide 211064: - tcco2diff - Total column Carbon Dioxide 211065: - tcch4diff - Total column Methane 211066: - tcn2odiff - Total column Nitrous oxide 211067: - co2ofdiff - Ocean flux of Carbon Dioxide 211068: - co2nbfdiff - Natural biosphere flux of Carbon Dioxide 211069: - co2apfdiff - Anthropogenic emissions of Carbon Dioxide 211070: - ch4fdiff - Methane Surface Fluxes 211071: - kch4diff - Methane loss rate due to radical hydroxyl (OH) 211080: - co2firediff - Wildfire flux of Carbon Dioxide 211081: - cofirediff - Wildfire flux of Carbon Monoxide 211082: - ch4firediff - Wildfire flux of Methane 211083: - nmhcfirediff - Wildfire flux of Non-Methane Hydro-Carbons 211084: - h2firediff - Wildfire flux of Hydrogen 211085: - noxfirediff - Wildfire flux of Nitrogen Oxides NOx 211086: - n2ofirediff - Wildfire flux of Nitrous Oxide 211087: - pm2p5firediff - Wildfire flux of Particulate Matter PM2.5 211088: - tpmfirediff - Wildfire flux of Total Particulate Matter 211089: - tcfirediff - Wildfire flux of Total Carbon in Aerosols 211090: - ocfirediff - Wildfire flux of Organic Carbon 211091: - bcfirediff - Wildfire flux of Black Carbon 211092: - cfirediff - Wildfire overall flux of burnt Carbon 211093: - c4ffirediff - Wildfire fraction of C4 plants 211094: - vegfirediff - Wildfire vegetation map index 211095: - ccfirediff - Wildfire Combustion Completeness 211096: - flfirediff - 'Wildfire Fuel Load: Carbon per unit area' 211097: - offirediff - Wildfire fraction of area observed 211098: - oafirediff - Wildfire observed area 211099: - frpfirediff - Wildfire radiative power 211100: - crfirediff - Wildfire combustion rate 211101: - maxfrpfirediff - Wildfire radiative power maximum 211102: - so2firediff - Wildfire flux of Sulfur Dioxide 211103: - ch3ohfirediff - Wildfire Flux of Methanol (CH3OH) 211104: - c2h5ohfirediff - Wildfire Flux of Ethanol (C2H5OH) 211105: - c3h8firediff - Wildfire Flux of Propane (C3H8) 211106: - c2h4firediff - Wildfire Flux of Ethene (C2H4) 211107: - c3h6firediff - Wildfire Flux of Propene (C3H6) 211108: - c5h8firediff - Wildfire Flux of Isoprene (C5H8) 211109: - terpenesfirediff - Wildfire Flux of Terpenes (C5H8)n 211110: - toluenefirediff - Wildfire Flux of Toluene_lump (C7H8+ C6H6 + C8H10) 211111: - hialkenesfirediff - Wildfire Flux of Higher Alkenes (CnH2n, C>=4) 211112: - hialkanesfirediff - Wildfire Flux of Higher Alkanes (CnH2n+2, C>=4) 211113: - ch2ofirediff - Wildfire Flux of Formaldehyde (CH2O) 211114: - c2h4ofirediff - Wildfire Flux of Acetaldehyde (C2H4O) 211115: - c3h6ofirediff - Wildfire Flux of Acetone (C3H6O) 211116: - nh3firediff - Wildfire Flux of Ammonia (NH3) 211117: - c2h6sfirediff - Wildfire Flux of Dimethyl Sulfide (DMS) (C2H6S) 211118: - c2h6firediff - Wildfire Flux of Ethane (C2H6) 211119: - alediff - Altitude of emitter 211120: - aptdiff - Altitude of plume top 211121: - no2diff - Nitrogen dioxide mass mixing ratio difference 211122: - so2diff - Sulphur dioxide mass mixing ratio difference 211123: - codiff - Carbon monoxide mass mixing ratio difference 211124: - hchodiff - Formaldehyde 211125: - tcno2diff - Total column Nitrogen dioxide 211126: - tcso2diff - Total column Sulphur dioxide 211127: - tccodiff - Total column Carbon monoxide 211128: - tchchodiff - Total column Formaldehyde 211129: - noxdiff - Nitrogen Oxides 211130: - tcnoxdiff - Total Column Nitrogen Oxides 211131: - grg1diff - Reactive tracer 1 mass mixing ratio 211132: - tcgrg1diff - Total column GRG tracer 1 211133: - grg2diff - Reactive tracer 2 mass mixing ratio 211134: - tcgrg2diff - Total column GRG tracer 2 211135: - grg3diff - Reactive tracer 3 mass mixing ratio 211136: - tcgrg3diff - Total column GRG tracer 3 211137: - grg4diff - Reactive tracer 4 mass mixing ratio 211138: - tcgrg4diff - Total column GRG tracer 4 211139: - grg5diff - Reactive tracer 5 mass mixing ratio 211140: - tcgrg5diff - Total column GRG tracer 5 211141: - grg6diff - Reactive tracer 6 mass mixing ratio 211142: - tcgrg6diff - Total column GRG tracer 6 211143: - grg7diff - Reactive tracer 7 mass mixing ratio 211144: - tcgrg7diff - Total column GRG tracer 7 211145: - grg8diff - Reactive tracer 8 mass mixing ratio 211146: - tcgrg8diff - Total column GRG tracer 8 211147: - grg9diff - Reactive tracer 9 mass mixing ratio 211148: - tcgrg9diff - Total column GRG tracer 9 211149: - grg10diff - Reactive tracer 10 mass mixing ratio 211150: - tcgrg10diff - Total column GRG tracer 10 211151: - sfnoxdiff - Surface flux Nitrogen oxides 211152: - sfno2diff - Surface flux Nitrogen dioxide 211153: - sfso2diff - Surface flux Sulphur dioxide 211154: - sfco2diff - Surface flux Carbon monoxide 211155: - sfhchodiff - Surface flux Formaldehyde 211156: - sfgo3diff - Surface flux GEMS Ozone 211157: - sfgr1diff - Surface flux reactive tracer 1 211158: - sfgr2diff - Surface flux reactive tracer 2 211159: - sfgr3diff - Surface flux reactive tracer 3 211160: - sfgr4diff - Surface flux reactive tracer 4 211161: - sfgr5diff - Surface flux reactive tracer 5 211162: - sfgr6diff - Surface flux reactive tracer 6 211163: - sfgr7diff - Surface flux reactive tracer 7 211164: - sfgr8diff - Surface flux reactive tracer 8 211165: - sfgr9diff - Surface flux reactive tracer 9 211166: - sfgr10diff - Surface flux reactive tracer 10 211170: - vso2diff - Volcanic sulfur dioxide mass mixing ratio increment 211181: - radiff - Radon 211182: - sf6diff - Sulphur Hexafluoride 211183: - tcradiff - Total column Radon 211184: - tcsf6diff - Total column Sulphur Hexafluoride 211185: - sf6apfdiff - Anthropogenic Emissions of Sulphur Hexafluoride 211203: - go3diff - Ozone mass mixing ratio difference (full chemistry scheme) 211206: - gtco3diff - GEMS Total column ozone 211207: - aod550diff - Total Aerosol Optical Depth at 550nm 211208: - ssaod550diff - Sea Salt Aerosol Optical Depth at 550nm 211209: - duaod550diff - Dust Aerosol Optical Depth at 550nm 211210: - omaod550diff - Organic Matter Aerosol Optical Depth at 550nm 211211: - bcaod550diff - Black Carbon Aerosol Optical Depth at 550nm 211212: - suaod550diff - Sulphate Aerosol Optical Depth at 550nm 211213: - aod469diff - Total Aerosol Optical Depth at 469nm 211214: - aod670diff - Total Aerosol Optical Depth at 670nm 211215: - aod865diff - Total Aerosol Optical Depth at 865nm 211216: - aod1240diff - Total Aerosol Optical Depth at 1240nm 211247: - aermr16diff - Nitrate fine mode aerosol mass mixing ratio 211248: - aermr17diff - Nitrate coarse mode aerosol mass mixing ratio 211249: - aermr18diff - Ammonium aerosol mass mixing ratio 211252: - aermr19diff - Biogenic secondary organic aerosol mass mixing ratio increment 211253: - aermr20diff - Anthropogenic secondary organic aerosol mass mixing ratio increment 212001: - _param_212001 - Experimental product 212002: - _param_212002 - Experimental product 212003: - _param_212003 - Experimental product 212004: - _param_212004 - Experimental product 212005: - _param_212005 - Experimental product 212006: - _param_212006 - Experimental product 212007: - _param_212007 - Experimental product 212008: - _param_212008 - Experimental product 212009: - _param_212009 - Experimental product 212010: - _param_212010 - Experimental product 212011: - _param_212011 - Experimental product 212012: - _param_212012 - Experimental product 212013: - _param_212013 - Experimental product 212014: - _param_212014 - Experimental product 212015: - _param_212015 - Experimental product 212016: - _param_212016 - Experimental product 212017: - _param_212017 - Experimental product 212018: - _param_212018 - Experimental product 212019: - _param_212019 - Experimental product 212020: - _param_212020 - Experimental product 212021: - _param_212021 - Experimental product 212022: - _param_212022 - Experimental product 212023: - _param_212023 - Experimental product 212024: - _param_212024 - Experimental product 212025: - _param_212025 - Experimental product 212026: - _param_212026 - Experimental product 212027: - _param_212027 - Experimental product 212028: - _param_212028 - Experimental product 212029: - _param_212029 - Experimental product 212030: - _param_212030 - Experimental product 212031: - _param_212031 - Experimental product 212032: - _param_212032 - Experimental product 212033: - _param_212033 - Experimental product 212034: - _param_212034 - Experimental product 212035: - _param_212035 - Experimental product 212036: - _param_212036 - Experimental product 212037: - _param_212037 - Experimental product 212038: - _param_212038 - Experimental product 212039: - _param_212039 - Experimental product 212040: - _param_212040 - Experimental product 212041: - _param_212041 - Experimental product 212042: - _param_212042 - Experimental product 212043: - _param_212043 - Experimental product 212044: - _param_212044 - Experimental product 212045: - _param_212045 - Experimental product 212046: - _param_212046 - Experimental product 212047: - _param_212047 - Experimental product 212048: - _param_212048 - Experimental product 212049: - _param_212049 - Experimental product 212050: - _param_212050 - Experimental product 212051: - _param_212051 - Experimental product 212052: - _param_212052 - Experimental product 212053: - _param_212053 - Experimental product 212054: - _param_212054 - Experimental product 212055: - _param_212055 - Experimental product 212056: - _param_212056 - Experimental product 212057: - _param_212057 - Experimental product 212058: - _param_212058 - Experimental product 212059: - _param_212059 - Experimental product 212060: - _param_212060 - Experimental product 212061: - _param_212061 - Experimental product 212062: - _param_212062 - Experimental product 212063: - _param_212063 - Experimental product 212064: - _param_212064 - Experimental product 212065: - _param_212065 - Experimental product 212066: - _param_212066 - Experimental product 212067: - _param_212067 - Experimental product 212068: - _param_212068 - Experimental product 212069: - _param_212069 - Experimental product 212070: - _param_212070 - Experimental product 212071: - _param_212071 - Experimental product 212072: - _param_212072 - Experimental product 212073: - _param_212073 - Experimental product 212074: - _param_212074 - Experimental product 212075: - _param_212075 - Experimental product 212076: - _param_212076 - Experimental product 212077: - _param_212077 - Experimental product 212078: - _param_212078 - Experimental product 212079: - _param_212079 - Experimental product 212080: - _param_212080 - Experimental product 212081: - _param_212081 - Experimental product 212082: - _param_212082 - Experimental product 212083: - _param_212083 - Experimental product 212084: - _param_212084 - Experimental product 212085: - _param_212085 - Experimental product 212086: - _param_212086 - Experimental product 212087: - _param_212087 - Experimental product 212088: - _param_212088 - Experimental product 212089: - _param_212089 - Experimental product 212090: - _param_212090 - Experimental product 212091: - _param_212091 - Experimental product 212092: - _param_212092 - Experimental product 212093: - _param_212093 - Experimental product 212094: - _param_212094 - Experimental product 212095: - _param_212095 - Experimental product 212096: - _param_212096 - Experimental product 212097: - _param_212097 - Experimental product 212098: - _param_212098 - Experimental product 212099: - _param_212099 - Experimental product 212100: - _param_212100 - Experimental product 212101: - _param_212101 - Experimental product 212102: - _param_212102 - Experimental product 212103: - _param_212103 - Experimental product 212104: - _param_212104 - Experimental product 212105: - _param_212105 - Experimental product 212106: - _param_212106 - Experimental product 212107: - _param_212107 - Experimental product 212108: - _param_212108 - Experimental product 212109: - _param_212109 - Experimental product 212110: - _param_212110 - Experimental product 212111: - _param_212111 - Experimental product 212112: - _param_212112 - Experimental product 212113: - _param_212113 - Experimental product 212114: - _param_212114 - Experimental product 212115: - _param_212115 - Experimental product 212116: - _param_212116 - Experimental product 212117: - _param_212117 - Experimental product 212118: - _param_212118 - Experimental product 212119: - _param_212119 - Experimental product 212120: - _param_212120 - Experimental product 212121: - _param_212121 - Experimental product 212122: - _param_212122 - Experimental product 212123: - _param_212123 - Experimental product 212124: - _param_212124 - Experimental product 212125: - _param_212125 - Experimental product 212126: - _param_212126 - Experimental product 212127: - _param_212127 - Experimental product 212128: - _param_212128 - Experimental product 212129: - _param_212129 - Experimental product 212130: - _param_212130 - Experimental product 212131: - _param_212131 - Experimental product 212132: - _param_212132 - Experimental product 212133: - _param_212133 - Experimental product 212134: - _param_212134 - Experimental product 212135: - _param_212135 - Experimental product 212136: - _param_212136 - Experimental product 212137: - _param_212137 - Experimental product 212138: - _param_212138 - Experimental product 212139: - _param_212139 - Experimental product 212140: - _param_212140 - Experimental product 212141: - _param_212141 - Experimental product 212142: - _param_212142 - Experimental product 212143: - _param_212143 - Experimental product 212144: - _param_212144 - Experimental product 212145: - _param_212145 - Experimental product 212146: - _param_212146 - Experimental product 212147: - _param_212147 - Experimental product 212148: - _param_212148 - Experimental product 212149: - _param_212149 - Experimental product 212150: - _param_212150 - Experimental product 212151: - _param_212151 - Experimental product 212152: - _param_212152 - Experimental product 212153: - _param_212153 - Experimental product 212154: - _param_212154 - Experimental product 212155: - _param_212155 - Experimental product 212156: - _param_212156 - Experimental product 212157: - _param_212157 - Experimental product 212158: - _param_212158 - Experimental product 212159: - _param_212159 - Experimental product 212160: - _param_212160 - Experimental product 212161: - _param_212161 - Experimental product 212162: - _param_212162 - Experimental product 212163: - _param_212163 - Experimental product 212164: - _param_212164 - Experimental product 212165: - _param_212165 - Experimental product 212166: - _param_212166 - Experimental product 212167: - _param_212167 - Experimental product 212168: - _param_212168 - Experimental product 212169: - _param_212169 - Experimental product 212170: - _param_212170 - Experimental product 212171: - _param_212171 - Experimental product 212172: - _param_212172 - Experimental product 212173: - _param_212173 - Experimental product 212174: - _param_212174 - Experimental product 212175: - _param_212175 - Experimental product 212176: - _param_212176 - Experimental product 212177: - _param_212177 - Experimental product 212178: - _param_212178 - Experimental product 212179: - _param_212179 - Experimental product 212180: - _param_212180 - Experimental product 212181: - _param_212181 - Experimental product 212182: - _param_212182 - Experimental product 212183: - _param_212183 - Experimental product 212184: - _param_212184 - Experimental product 212185: - _param_212185 - Experimental product 212186: - _param_212186 - Experimental product 212187: - _param_212187 - Experimental product 212188: - _param_212188 - Experimental product 212189: - _param_212189 - Experimental product 212190: - _param_212190 - Experimental product 212191: - _param_212191 - Experimental product 212192: - _param_212192 - Experimental product 212193: - _param_212193 - Experimental product 212194: - _param_212194 - Experimental product 212195: - _param_212195 - Experimental product 212196: - _param_212196 - Experimental product 212197: - _param_212197 - Experimental product 212198: - _param_212198 - Experimental product 212199: - _param_212199 - Experimental product 212200: - _param_212200 - Experimental product 212201: - _param_212201 - Experimental product 212202: - _param_212202 - Experimental product 212203: - _param_212203 - Experimental product 212204: - _param_212204 - Experimental product 212205: - _param_212205 - Experimental product 212206: - _param_212206 - Experimental product 212207: - _param_212207 - Experimental product 212208: - _param_212208 - Experimental product 212209: - _param_212209 - Experimental product 212210: - _param_212210 - Experimental product 212211: - _param_212211 - Experimental product 212212: - _param_212212 - Experimental product 212213: - _param_212213 - Experimental product 212214: - _param_212214 - Experimental product 212215: - _param_212215 - Experimental product 212216: - _param_212216 - Experimental product 212217: - _param_212217 - Experimental product 212218: - _param_212218 - Experimental product 212219: - _param_212219 - Experimental product 212220: - _param_212220 - Experimental product 212221: - _param_212221 - Experimental product 212222: - _param_212222 - Experimental product 212223: - _param_212223 - Experimental product 212224: - _param_212224 - Experimental product 212225: - _param_212225 - Experimental product 212226: - _param_212226 - Experimental product 212227: - _param_212227 - Experimental product 212228: - _param_212228 - Experimental product 212229: - _param_212229 - Experimental product 212230: - _param_212230 - Experimental product 212231: - _param_212231 - Experimental product 212232: - _param_212232 - Experimental product 212233: - _param_212233 - Experimental product 212234: - _param_212234 - Experimental product 212235: - _param_212235 - Experimental product 212236: - _param_212236 - Experimental product 212237: - _param_212237 - Experimental product 212238: - _param_212238 - Experimental product 212239: - _param_212239 - Experimental product 212240: - _param_212240 - Experimental product 212241: - _param_212241 - Experimental product 212242: - _param_212242 - Experimental product 212243: - _param_212243 - Experimental product 212244: - _param_212244 - Experimental product 212245: - _param_212245 - Experimental product 212246: - _param_212246 - Experimental product 212247: - _param_212247 - Experimental product 212248: - _param_212248 - Experimental product 212249: - _param_212249 - Experimental product 212250: - _param_212250 - Experimental product 212251: - _param_212251 - Experimental product 212252: - _param_212252 - Experimental product 212253: - _param_212253 - Experimental product 212254: - _param_212254 - Experimental product 212255: - _param_212255 - Experimental product 213001: - sppt1 - Random pattern 1 for sppt 213002: - sppt2 - Random pattern 2 for sppt 213003: - sppt3 - Random pattern 3 for sppt 213004: - sppt4 - Random pattern 4 for sppt 213005: - sppt5 - Random pattern 5 for sppt 213101: - spp1 - Random pattern 1 for SPP scheme 213102: - spp2 - Random pattern 2 for SPP scheme 213103: - spp3 - Random pattern 3 for SPP scheme 213104: - spp4 - Random pattern 4 for SPP scheme 213105: - spp5 - Random pattern 5 for SPP scheme 213106: - spp6 - Random pattern 6 for SPP scheme 213107: - spp7 - Random pattern 7 for SPP scheme 213108: - spp8 - Random pattern 8 for SPP scheme 213109: - spp9 - Random pattern 9 for SPP scheme 213110: - spp10 - Random pattern 10 for SPP scheme 213111: - spp11 - Random pattern 11 for SPP scheme 213112: - spp12 - Random pattern 12 for SPP scheme 213113: - spp13 - Random pattern 13 for SPP scheme 213114: - spp14 - Random pattern 14 for SPP scheme 213115: - spp15 - Random pattern 15 for SPP scheme 213116: - spp16 - Random pattern 16 for SPP scheme 213117: - spp17 - Random pattern 17 for SPP scheme 213118: - spp18 - Random pattern 18 for SPP scheme 213119: - spp19 - Random pattern 19 for SPP scheme 213120: - spp20 - Random pattern 20 for SPP scheme 213121: - spp21 - Random pattern 21 for SPP scheme 213122: - spp22 - Random pattern 22 for SPP scheme 213123: - spp23 - Random pattern 23 for SPP scheme 213124: - spp24 - Random pattern 24 for SPP scheme 213125: - spp25 - Random pattern 25 for SPP scheme 213126: - spp26 - Random pattern 26 for SPP scheme 213127: - spp27 - Random pattern 27 for SPP scheme 213128: - spp28 - Random pattern 28 for SPP scheme 213129: - spp29 - Random pattern 29 for SPP scheme 213130: - spp30 - Random pattern 30 for SPP scheme 213131: - spp31 - Random pattern 31 for SPP scheme 213132: - spp32 - Random pattern 32 for SPP scheme 213133: - spp33 - Random pattern 33 for SPP scheme 213134: - spp34 - Random pattern 34 for SPP scheme 213135: - spp35 - Random pattern 35 for SPP scheme 213136: - spp36 - Random pattern 36 for SPP scheme 213137: - spp37 - Random pattern 37 for SPP scheme 213138: - spp38 - Random pattern 38 for SPP scheme 213139: - spp39 - Random pattern 39 for SPP scheme 213140: - spp40 - Random pattern 40 for SPP scheme 213141: - spp41 - Random pattern 41 for SPP scheme 213142: - spp42 - Random pattern 42 for SPP scheme 213143: - spp43 - Random pattern 43 for SPP scheme 213144: - spp44 - Random pattern 44 for SPP scheme 213145: - spp45 - Random pattern 45 for SPP scheme 213146: - spp46 - Random pattern 46 for SPP scheme 213147: - spp47 - Random pattern 47 for SPP scheme 213148: - spp48 - Random pattern 48 for SPP scheme 213149: - spp49 - Random pattern 49 for SPP scheme 213150: - spp50 - Random pattern 50 for SPP scheme 213151: - spp51 - Random pattern 51 for SPP scheme 213152: - spp52 - Random pattern 52 for SPP scheme 213153: - spp53 - Random pattern 53 for SPP scheme 213154: - spp54 - Random pattern 54 for SPP scheme 213155: - spp55 - Random pattern 55 for SPP scheme 213156: - spp56 - Random pattern 56 for SPP scheme 213157: - spp57 - Random pattern 57 for SPP scheme 213158: - spp58 - Random pattern 58 for SPP scheme 213159: - spp59 - Random pattern 59 for SPP scheme 213160: - spp60 - Random pattern 60 for SPP scheme 213161: - spp61 - Random pattern 61 for SPP scheme 213162: - spp62 - Random pattern 62 for SPP scheme 213163: - spp63 - Random pattern 63 for SPP scheme 213164: - spp64 - Random pattern 64 for SPP scheme 213165: - spp65 - Random pattern 65 for SPP scheme 213166: - spp66 - Random pattern 66 for SPP scheme 213167: - spp67 - Random pattern 67 for SPP scheme 213168: - spp68 - Random pattern 68 for SPP scheme 213169: - spp69 - Random pattern 69 for SPP scheme 213170: - spp70 - Random pattern 70 for SPP scheme 213171: - spp71 - Random pattern 71 for SPP scheme 213172: - spp72 - Random pattern 72 for SPP scheme 213173: - spp73 - Random pattern 73 for SPP scheme 213174: - spp74 - Random pattern 74 for SPP scheme 213175: - spp75 - Random pattern 75 for SPP scheme 213176: - spp76 - Random pattern 76 for SPP scheme 213177: - spp77 - Random pattern 77 for SPP scheme 213178: - spp78 - Random pattern 78 for SPP scheme 213179: - spp79 - Random pattern 79 for SPP scheme 213180: - spp80 - Random pattern 80 for SPP scheme 213181: - spp81 - Random pattern 81 for SPP scheme 213182: - spp82 - Random pattern 82 for SPP scheme 213183: - spp83 - Random pattern 83 for SPP scheme 213184: - spp84 - Random pattern 84 for SPP scheme 213185: - spp85 - Random pattern 85 for SPP scheme 213186: - spp86 - Random pattern 86 for SPP scheme 213187: - spp87 - Random pattern 87 for SPP scheme 213188: - spp88 - Random pattern 88 for SPP scheme 213189: - spp89 - Random pattern 89 for SPP scheme 213190: - spp90 - Random pattern 90 for SPP scheme 213191: - spp91 - Random pattern 91 for SPP scheme 213192: - spp92 - Random pattern 92 for SPP scheme 213193: - spp93 - Random pattern 93 for SPP scheme 213194: - spp94 - Random pattern 94 for SPP scheme 213195: - spp95 - Random pattern 95 for SPP scheme 213196: - spp96 - Random pattern 96 for SPP scheme 213197: - spp97 - Random pattern 97 for SPP scheme 213198: - spp98 - Random pattern 98 for SPP scheme 213199: - spp99 - Random pattern 99 for SPP scheme 213200: - spp100 - Random pattern 100 for SPP scheme 213201: - spp101 - Random pattern 101 for SPP scheme 213202: - spp102 - Random pattern 102 for SPP scheme 213203: - spp103 - Random pattern 103 for SPP scheme 213204: - spp104 - Random pattern 104 for SPP scheme 213205: - spp105 - Random pattern 105 for SPP scheme 213206: - spp106 - Random pattern 106 for SPP scheme 213207: - spp107 - Random pattern 107 for SPP scheme 213208: - spp108 - Random pattern 108 for SPP scheme 213209: - spp109 - Random pattern 109 for SPP scheme 213210: - spp110 - Random pattern 110 for SPP scheme 213211: - spp111 - Random pattern 111 for SPP scheme 213212: - spp112 - Random pattern 112 for SPP scheme 213213: - spp113 - Random pattern 113 for SPP scheme 213214: - spp114 - Random pattern 114 for SPP scheme 213215: - spp115 - Random pattern 115 for SPP scheme 213216: - spp116 - Random pattern 116 for SPP scheme 213217: - spp117 - Random pattern 117 for SPP scheme 213218: - spp118 - Random pattern 118 for SPP scheme 213219: - spp119 - Random pattern 119 for SPP scheme 213220: - spp120 - Random pattern 120 for SPP scheme 213221: - spp121 - Random pattern 121 for SPP scheme 214001: - cossza - Cosine of solar zenith angle 214002: - uvbed - UV biologically effective dose 214003: - uvbedcs - UV biologically effective dose clear-sky 214004: - uvsflxt280285 - Total surface UV spectral flux (280-285 nm) 214005: - uvsflxt285290 - Total surface UV spectral flux (285-290 nm) 214006: - uvsflxt290295 - Total surface UV spectral flux (290-295 nm) 214007: - uvsflxt295300 - Total surface UV spectral flux (295-300 nm) 214008: - uvsflxt300305 - Total surface UV spectral flux (300-305 nm) 214009: - uvsflxt305310 - Total surface UV spectral flux (305-310 nm) 214010: - uvsflxt310315 - Total surface UV spectral flux (310-315 nm) 214011: - uvsflxt315320 - Total surface UV spectral flux (315-320 nm) 214012: - uvsflxt320325 - Total surface UV spectral flux (320-325 nm) 214013: - uvsflxt325330 - Total surface UV spectral flux (325-330 nm) 214014: - uvsflxt330335 - Total surface UV spectral flux (330-335 nm) 214015: - uvsflxt335340 - Total surface UV spectral flux (335-340 nm) 214016: - uvsflxt340345 - Total surface UV spectral flux (340-345 nm) 214017: - uvsflxt345350 - Total surface UV spectral flux (345-350 nm) 214018: - uvsflxt350355 - Total surface UV spectral flux (350-355 nm) 214019: - uvsflxt355360 - Total surface UV spectral flux (355-360 nm) 214020: - uvsflxt360365 - Total surface UV spectral flux (360-365 nm) 214021: - uvsflxt365370 - Total surface UV spectral flux (365-370 nm) 214022: - uvsflxt370375 - Total surface UV spectral flux (370-375 nm) 214023: - uvsflxt375380 - Total surface UV spectral flux (375-380 nm) 214024: - uvsflxt380385 - Total surface UV spectral flux (380-385 nm) 214025: - uvsflxt385390 - Total surface UV spectral flux (385-390 nm) 214026: - uvsflxt390395 - Total surface UV spectral flux (390-395 nm) 214027: - uvsflxt395400 - Total surface UV spectral flux (395-400 nm) 214028: - uvsflxcs280285 - Clear-sky surface UV spectral flux (280-285 nm) 214029: - uvsflxcs285290 - Clear-sky surface UV spectral flux (285-290 nm) 214030: - uvsflxcs290295 - Clear-sky surface UV spectral flux (290-295 nm) 214031: - uvsflxcs295300 - Clear-sky surface UV spectral flux (295-300 nm) 214032: - uvsflxcs300305 - Clear-sky surface UV spectral flux (300-305 nm) 214033: - uvsflxcs305310 - Clear-sky surface UV spectral flux (305-310 nm) 214034: - uvsflxcs310315 - Clear-sky surface UV spectral flux (310-315 nm) 214035: - uvsflxcs315320 - Clear-sky surface UV spectral flux (315-320 nm) 214036: - uvsflxcs320325 - Clear-sky surface UV spectral flux (320-325 nm) 214037: - uvsflxcs325330 - Clear-sky surface UV spectral flux (325-330 nm) 214038: - uvsflxcs330335 - Clear-sky surface UV spectral flux (330-335 nm) 214039: - uvsflxcs335340 - Clear-sky surface UV spectral flux (335-340 nm) 214040: - uvsflxcs340345 - Clear-sky surface UV spectral flux (340-345 nm) 214041: - uvsflxcs345350 - Clear-sky surface UV spectral flux (345-350 nm) 214042: - uvsflxcs350355 - Clear-sky surface UV spectral flux (350-355 nm) 214043: - uvsflxcs355360 - Clear-sky surface UV spectral flux (355-360 nm) 214044: - uvsflxcs360365 - Clear-sky surface UV spectral flux (360-365 nm) 214045: - uvsflxcs365370 - Clear-sky surface UV spectral flux (365-370 nm) 214046: - uvsflxcs370375 - Clear-sky surface UV spectral flux (370-375 nm) 214047: - uvsflxcs375380 - Clear-sky surface UV spectral flux (375-380 nm) 214048: - uvsflxcs380385 - Clear-sky surface UV spectral flux (380-385 nm) 214049: - uvsflxcs385390 - Clear-sky surface UV spectral flux (385-390 nm) 214050: - uvsflxcs390395 - Clear-sky surface UV spectral flux (390-395 nm) 214051: - uvsflxcs395400 - Clear-sky surface UV spectral flux (395-400 nm) 214052: - aot340 - Profile of optical thickness at 340 nm 215001: - aersrcsss - Source/gain of sea salt aerosol (0.03 - 0.5 um) 215002: - aersrcssm - Source/gain of sea salt aerosol (0.5 - 5 um) 215003: - aersrcssl - Source/gain of sea salt aerosol (5 - 20 um) 215004: - aerddpsss - Dry deposition of sea salt aerosol (0.03 - 0.5 um) 215005: - aerddpssm - Dry deposition of sea salt aerosol (0.5 - 5 um) 215006: - aerddpssl - Dry deposition of sea salt aerosol (5 - 20 um) 215007: - aersdmsss - Sedimentation of sea salt aerosol (0.03 - 0.5 um) 215008: - aersdmssm - Sedimentation of sea salt aerosol (0.5 - 5 um) 215009: - aersdmssl - Sedimentation of sea salt aerosol (5 - 20 um) 215010: - aerwdlssss - Wet deposition of sea salt aerosol (0.03 - 0.5 um) by large-scale precipitation 215011: - aerwdlsssm - Wet deposition of sea salt aerosol (0.5 - 5 um) by large-scale precipitation 215012: - aerwdlsssl - Wet deposition of sea salt aerosol (5 - 20 um) by large-scale precipitation 215013: - aerwdccsss - Wet deposition of sea salt aerosol (0.03 - 0.5 um) by convective precipitation 215014: - aerwdccssm - Wet deposition of sea salt aerosol (0.5 - 5 um) by convective precipitation 215015: - aerwdccssl - Wet deposition of sea salt aerosol (5 - 20 um) by convective precipitation 215016: - aerngtsss - Negative fixer of sea salt aerosol (0.03 - 0.5 um) 215017: - aerngtssm - Negative fixer of sea salt aerosol (0.5 - 5 um) 215018: - aerngtssl - Negative fixer of sea salt aerosol (5 - 20 um) 215019: - aermsssss - Vertically integrated mass of sea salt aerosol (0.03 - 0.5 um) 215020: - aermssssm - Vertically integrated mass of sea salt aerosol (0.5 - 5 um) 215021: - aermssssl - Vertically integrated mass of sea salt aerosol (5 - 20 um) 215022: - aerodsss - Sea salt aerosol (0.03 - 0.5 um) optical depth 215023: - aerodssm - Sea salt aerosol (0.5 - 5 um) optical depth 215024: - aerodssl - Sea salt aerosol (5 - 20 um) optical depth 215025: - aersrcdus - Source/gain of dust aerosol (0.03 - 0.55 um) 215026: - aersrcdum - Source/gain of dust aerosol (0.55 - 0.9 um) 215027: - aersrcdul - Source/gain of dust aerosol (0.9 - 20 um) 215028: - aerddpdus - Dry deposition of dust aerosol (0.03 - 0.55 um) 215029: - aerddpdum - Dry deposition of dust aerosol (0.55 - 0.9 um) 215030: - aerddpdul - Dry deposition of dust aerosol (0.9 - 20 um) 215031: - aersdmdus - Sedimentation of dust aerosol (0.03 - 0.55 um) 215032: - aersdmdum - Sedimentation of dust aerosol (0.55 - 0.9 um) 215033: - aersdmdul - Sedimentation of dust aerosol (0.9 - 20 um) 215034: - aerwdlsdus - Wet deposition of dust aerosol (0.03 - 0.55 um) by large-scale precipitation 215035: - aerwdlsdum - Wet deposition of dust aerosol (0.55 - 0.9 um) by large-scale precipitation 215036: - aerwdlsdul - Wet deposition of dust aerosol (0.9 - 20 um) by large-scale precipitation 215037: - aerwdccdus - Wet deposition of dust aerosol (0.03 - 0.55 um) by convective precipitation 215038: - aerwdccdum - Wet deposition of dust aerosol (0.55 - 0.9 um) by convective precipitation 215039: - aerwdccdul - Wet deposition of dust aerosol (0.9 - 20 um) by convective precipitation 215040: - aerngtdus - Negative fixer of dust aerosol (0.03 - 0.55 um) 215041: - aerngtdum - Negative fixer of dust aerosol (0.55 - 0.9 um) 215042: - aerngtdul - Negative fixer of dust aerosol (0.9 - 20 um) 215043: - aermssdus - Vertically integrated mass of dust aerosol (0.03 - 0.55 um) 215044: - aermssdum - Vertically integrated mass of dust aerosol (0.55 - 0.9 um) 215045: - aermssdul - Vertically integrated mass of dust aerosol (0.9 - 20 um) 215046: - aeroddus - Dust aerosol (0.03 - 0.55 um) optical depth 215047: - aeroddum - Dust aerosol (0.55 - 0.9 um) optical depth 215048: - aeroddul - Dust aerosol (0.9 - 20 um) optical depth 215049: - aersrcomhphob - Source/gain of hydrophobic organic matter aerosol 215050: - aersrcomhphil - Source/gain of hydrophilic organic matter aerosol 215051: - aerddpomhphob - Dry deposition of hydrophobic organic matter aerosol 215052: - aerddpomhphil - Dry deposition of hydrophilic organic matter aerosol 215053: - aersdmomhphob - Sedimentation of hydrophobic organic matter aerosol 215054: - aersdmomhphil - Sedimentation of hydrophilic organic matter aerosol 215055: - aerwdlsomhphob - Wet deposition of hydrophobic organic matter aerosol by large-scale precipitation 215056: - aerwdlsomhphil - Wet deposition of hydrophilic organic matter aerosol by large-scale precipitation 215057: - aerwdccomhphob - Wet deposition of hydrophobic organic matter aerosol by convective precipitation 215058: - aerwdccomhphil - Wet deposition of hydrophilic organic matter aerosol by convective precipitation 215059: - aerngtomhphob - Negative fixer of hydrophobic organic matter aerosol 215060: - aerngtomhphil - Negative fixer of hydrophilic organic matter aerosol 215061: - aermssomhphob - Vertically integrated mass of hydrophobic organic matter aerosol 215062: - aermssomhphil - Vertically integrated mass of hydrophilic organic matter aerosol 215063: - aerodomhphob - Hydrophobic organic matter aerosol optical depth 215064: - aerodomhphil - Hydrophilic organic matter aerosol optical depth 215065: - aersrcbchphob - Source/gain of hydrophobic black carbon aerosol 215066: - aersrcbchphil - Source/gain of hydrophilic black carbon aerosol 215067: - aerddpbchphob - Dry deposition of hydrophobic black carbon aerosol 215068: - aerddpbchphil - Dry deposition of hydrophilic black carbon aerosol 215069: - aersdmbchphob - Sedimentation of hydrophobic black carbon aerosol 215070: - aersdmbchphil - Sedimentation of hydrophilic black carbon aerosol 215071: - aerwdlsbchphob - Wet deposition of hydrophobic black carbon aerosol by large-scale precipitation 215072: - aerwdlsbchphil - Wet deposition of hydrophilic black carbon aerosol by large-scale precipitation 215073: - aerwdccbchphob - Wet deposition of hydrophobic black carbon aerosol by convective precipitation 215074: - aerwdccbchphil - Wet deposition of hydrophilic black carbon aerosol by convective precipitation 215075: - aerngtbchphob - Negative fixer of hydrophobic black carbon aerosol 215076: - aerngtbchphil - Negative fixer of hydrophilic black carbon aerosol 215077: - aermssbchphob - Vertically integrated mass of hydrophobic black carbon aerosol 215078: - aermssbchphil - Vertically integrated mass of hydrophilic black carbon aerosol 215079: - aerodbchphob - Hydrophobic black carbon aerosol optical depth 215080: - aerodbchphil - Hydrophilic black carbon aerosol optical depth 215081: - aersrcsu - Source/gain of sulphate aerosol 215082: - aerddpsu - Dry deposition of sulphate aerosol 215083: - aersdmsu - Sedimentation of sulphate aerosol 215084: - aerwdlssu - Wet deposition of sulphate aerosol by large-scale precipitation 215085: - aerwdccsu - Wet deposition of sulphate aerosol by convective precipitation 215086: - aerngtsu - Negative fixer of sulphate aerosol 215087: - aermsssu - Vertically integrated mass of sulphate aerosol 215088: - aerodsu - Sulphate aerosol optical depth 215089: - accaod550 - Accumulated total aerosol optical depth at 550 nm 215090: - aluvpsn - Effective (snow effect included) UV visible albedo for direct radiation 215091: - aerdep10si - 10 metre wind speed dust emission potential 215092: - aerdep10fg - 10 metre wind gustiness dust emission potential 215093: - aot532 - Total aerosol optical thickness at 532 nm 215094: - naot532 - Natural (sea-salt and dust) aerosol optical thickness at 532 nm 215095: - aaot532 - Anthropogenic (black carbon, organic matter, sulphate) aerosol optical thickness at 532 nm 215096: - aodabs340 - Total absorption aerosol optical depth at 340 nm 215097: - aodabs355 - Total absorption aerosol optical depth at 355 nm 215098: - aodabs380 - Total absorption aerosol optical depth at 380 nm 215099: - aodabs400 - Total absorption aerosol optical depth at 400 nm 215100: - aodabs440 - Total absorption aerosol optical depth at 440 nm 215101: - aodabs469 - Total absorption aerosol optical depth at 469 nm 215102: - aodabs500 - Total absorption aerosol optical depth at 500 nm 215103: - aodabs532 - Total absorption aerosol optical depth at 532 nm 215104: - aodabs550 - Total absorption aerosol optical depth at 550 nm 215105: - aodabs645 - Total absorption aerosol optical depth at 645 nm 215106: - aodabs670 - Total absorption aerosol optical depth at 670 nm 215107: - aodabs800 - Total absorption aerosol optical depth at 800 nm 215108: - aodabs858 - Total absorption aerosol optical depth at 858 nm 215109: - aodabs865 - Total absorption aerosol optical depth at 865 nm 215110: - aodabs1020 - Total absorption aerosol optical depth at 1020 nm 215111: - aodabs1064 - Total absorption aerosol optical depth at 1064 nm 215112: - aodabs1240 - Total absorption aerosol optical depth at 1240 nm 215113: - aodabs1640 - Total absorption aerosol optical depth at 1640 nm 215114: - aodfm340 - Total fine mode (r < 0.5 um) aerosol optical depth at 340 nm 215115: - aodfm355 - Total fine mode (r < 0.5 um) aerosol optical depth at 355 nm 215116: - aodfm380 - Total fine mode (r < 0.5 um) aerosol optical depth at 380 nm 215117: - aodfm400 - Total fine mode (r < 0.5 um) aerosol optical depth at 400 nm 215118: - aodfm440 - Total fine mode (r < 0.5 um) aerosol optical depth at 440 nm 215119: - aodfm469 - Total fine mode (r < 0.5 um) aerosol optical depth at 469 nm 215120: - aodfm500 - Total fine mode (r < 0.5 um) aerosol optical depth at 500 nm 215121: - aodfm532 - Total fine mode (r < 0.5 um) aerosol optical depth at 532 nm 215122: - aodfm550 - Total fine mode (r < 0.5 um) aerosol optical depth at 550 nm 215123: - aodfm645 - Total fine mode (r < 0.5 um) aerosol optical depth at 645 nm 215124: - aodfm670 - Total fine mode (r < 0.5 um) aerosol optical depth at 670 nm 215125: - aodfm800 - Total fine mode (r < 0.5 um) aerosol optical depth at 800 nm 215126: - aodfm858 - Total fine mode (r < 0.5 um) aerosol optical depth at 858 nm 215127: - aodfm865 - Total fine mode (r < 0.5 um) aerosol optical depth at 865 nm 215128: - aodfm1020 - Total fine mode (r < 0.5 um) aerosol optical depth at 1020 nm 215129: - aodfm1064 - Total fine mode (r < 0.5 um) aerosol optical depth at 1064 nm 215130: - aodfm1240 - Total fine mode (r < 0.5 um) aerosol optical depth at 1240 nm 215131: - aodfm1640 - Total fine mode (r < 0.5 um) aerosol optical depth at 1640 nm 215132: - ssa340 - Single scattering albedo at 340 nm 215133: - ssa355 - Single scattering albedo at 355 nm 215134: - ssa380 - Single scattering albedo at 380 nm 215135: - ssa400 - Single scattering albedo at 400 nm 215136: - ssa440 - Single scattering albedo at 440 nm 215137: - ssa469 - Single scattering albedo at 469 nm 215138: - ssa500 - Single scattering albedo at 500 nm 215139: - ssa532 - Single scattering albedo at 532 nm 215140: - ssa550 - Single scattering albedo at 550 nm 215141: - ssa645 - Single scattering albedo at 645 nm 215142: - ssa670 - Single scattering albedo at 670 nm 215143: - ssa800 - Single scattering albedo at 800 nm 215144: - ssa858 - Single scattering albedo at 858 nm 215145: - ssa865 - Single scattering albedo at 865 nm 215146: - ssa1020 - Single scattering albedo at 1020 nm 215147: - ssa1064 - Single scattering albedo at 1064 nm 215148: - ssa1240 - Single scattering albedo at 1240 nm 215149: - ssa1640 - Single scattering albedo at 1640 nm 215150: - asymmetry340 - Asymmetry factor at 340 nm 215151: - asymmetry355 - Asymmetry factor at 355 nm 215152: - asymmetry380 - Asymmetry factor at 380 nm 215153: - asymmetry400 - Asymmetry factor at 400 nm 215154: - asymmetry440 - Asymmetry factor at 440 nm 215155: - asymmetry469 - Asymmetry factor at 469 nm 215156: - asymmetry500 - Asymmetry factor at 500 nm 215157: - asymmetry532 - Asymmetry factor at 532 nm 215158: - asymmetry550 - Asymmetry factor at 550 nm 215159: - asymmetry645 - Asymmetry factor at 645 nm 215160: - asymmetry670 - Asymmetry factor at 670 nm 215161: - asymmetry800 - Asymmetry factor at 800 nm 215162: - asymmetry858 - Asymmetry factor at 858 nm 215163: - asymmetry865 - Asymmetry factor at 865 nm 215164: - asymmetry1020 - Asymmetry factor at 1020 nm 215165: - asymmetry1064 - Asymmetry factor at 1064 nm 215166: - asymmetry1240 - Asymmetry factor at 1240 nm 215167: - asymmetry1640 - Asymmetry factor at 1640 nm 215168: - aersrcso2 - Source/gain of sulphur dioxide 215169: - aerddpso2 - Dry deposition of sulphur dioxide 215170: - aersdmso2 - Sedimentation of sulphur dioxide 215171: - aerwdlsso2 - Wet deposition of sulphur dioxide by large-scale precipitation 215172: - aerwdccso2 - Wet deposition of sulphur dioxide by convective precipitation 215173: - aerngtso2 - Negative fixer of sulphur dioxide 215174: - aermssso2 - Vertically integrated mass of sulphur dioxide 215175: - aerodso2 - Sulphur dioxide optical depth 215176: - aodabs2130 - Total absorption aerosol optical depth at 2130 nm 215177: - aodfm2130 - Total fine mode (r < 0.5 um) aerosol optical depth at 2130 nm 215178: - ssa2130 - Single scattering albedo at 2130 nm 215179: - asymmetry2130 - Asymmetry factor at 2130 nm 215180: - aerext355 - Aerosol extinction coefficient at 355 nm 215181: - aerext532 - Aerosol extinction coefficient at 532 nm 215182: - aerext1064 - Aerosol extinction coefficient at 1064 nm 215183: - aerbackscattoa355 - Aerosol backscatter coefficient at 355 nm (from top of atmosphere) 215184: - aerbackscattoa532 - Aerosol backscatter coefficient at 532 nm (from top of atmosphere) 215185: - aerbackscattoa1064 - Aerosol backscatter coefficient at 1064 nm (from top of atmosphere) 215186: - aerbackscatgnd355 - Aerosol backscatter coefficient at 355 nm (from ground) 215187: - aerbackscatgnd532 - Aerosol backscatter coefficient at 532 nm (from ground) 215188: - aerbackscatgnd1064 - Aerosol backscatter coefficient at 1064 nm (from ground) 215189: - aersrcnif - Source/gain of fine-mode nitrate aerosol 215190: - aersrcnic - Source/gain of coarse-mode nitrate aerosol 215191: - aerddpnif - Dry deposition of fine-mode nitrate aerosol 215192: - aerddpnic - Dry deposition of coarse-mode nitrate aerosol 215193: - aersdmnif - Sedimentation of fine-mode nitrate aerosol 215194: - aersdmnic - Sedimentation of coarse-mode nitrate aerosol 215195: - aerwdlnif - Wet deposition of fine-mode nitrate aerosol by large-scale precipitation 215196: - aerwdlnic - Wet deposition of coarse-mode nitrate aerosol by large-scale precipitation 215197: - aerwdcnif - Wet deposition of fine-mode nitrate aerosol by convective precipitation 215198: - aerwdcnic - Wet deposition of coarse-mode nitrate aerosol by convective precipitation 215199: - aerngtnif - Negative fixer of fine-mode nitrate aerosol 215200: - aerngtnic - Negative fixer of coarse-mode nitrate aerosol 215201: - aermssnif - Vertically integrated mass of fine-mode nitrate aerosol 215202: - aermssnic - Vertically integrated mass of coarse-mode nitrate aerosol 215203: - aerodnif - Fine-mode nitrate aerosol optical depth at 550 nm 215204: - aerodnic - Coarse-mode nitrate aerosol optical depth at 550 nm 215205: - aersrcam - Source/gain of ammonium aerosol 215206: - aerddpam - Dry deposition of ammonium aerosol 215207: - aersdmam - Sedimentation of ammonium aerosol 215208: - aerwdlam - Wet deposition of ammonium aerosol by large-scale precipitation 215209: - aerwdcam - Wet deposition of ammonium aerosol by convective precipitation 215210: - aerngtam - Negative fixer of ammonium aerosol 215211: - aermssam - Vertically integrated mass of ammonium aerosol 215212: - aersrcsoab - Source/gain of biogenic secondary organic aerosol 215213: - aerddpsoab - Dry deposition of biogenic secondary organic aerosol 215214: - aersdmsoab - Sedimentation of biogenic secondary organic aerosol 215215: - aerwdlsoab - Wet deposition of biogenic secondary organic aerosol by large-scale precipitation 215216: - aerwdcsoab - Wet deposition of biogenic secondary organic aerosol by convective precipitation 215217: - aerngtsoab - Negative fixer of biogenic secondary organic aerosol 215218: - aermsssoab - Vertically integrated mass of biogenic secondary organic aerosol 215219: - aersrcsoaa - Source/gain of anthropogenic secondary organic aerosol 215220: - aerddpsoaa - Dry deposition of anthropogenic secondary organic aerosol 215221: - aersdmsoaa - Sedimentation of anthropogenic secondary organic aerosol 215222: - aerwdlsoaa - Wet deposition of anthropogenic secondary organic aerosol by large-scale precipitation 215223: - aerwdcsoaa - Wet deposition of anthropogenic secondary organic aerosol by convective precipitation 215224: - aerngtsoaa - Negative fixer of anthropogenic secondary organic aerosol 215225: - aermsssoaa - Vertically integrated mass of anthropogenic secondary organic aerosol 215226: - soaod550 - Secondary organic aerosol optical depth at 550 nm 216001: - _param_216001 - Experimental product 216002: - _param_216002 - Experimental product 216003: - _param_216003 - Experimental product 216004: - _param_216004 - Experimental product 216005: - _param_216005 - Experimental product 216006: - _param_216006 - Experimental product 216007: - _param_216007 - Experimental product 216008: - _param_216008 - Experimental product 216009: - _param_216009 - Experimental product 216010: - _param_216010 - Experimental product 216011: - _param_216011 - Experimental product 216012: - _param_216012 - Experimental product 216013: - _param_216013 - Experimental product 216014: - _param_216014 - Experimental product 216015: - _param_216015 - Experimental product 216016: - _param_216016 - Experimental product 216017: - _param_216017 - Experimental product 216018: - _param_216018 - Experimental product 216019: - _param_216019 - Experimental product 216020: - _param_216020 - Experimental product 216021: - _param_216021 - Experimental product 216022: - _param_216022 - Experimental product 216023: - _param_216023 - Experimental product 216024: - _param_216024 - Experimental product 216025: - _param_216025 - Experimental product 216026: - _param_216026 - Experimental product 216027: - _param_216027 - Experimental product 216028: - _param_216028 - Experimental product 216029: - _param_216029 - Experimental product 216030: - _param_216030 - Experimental product 216031: - _param_216031 - Experimental product 216032: - _param_216032 - Experimental product 216033: - _param_216033 - Experimental product 216034: - _param_216034 - Experimental product 216035: - _param_216035 - Experimental product 216036: - _param_216036 - Experimental product 216037: - _param_216037 - Experimental product 216038: - _param_216038 - Experimental product 216039: - _param_216039 - Experimental product 216040: - _param_216040 - Experimental product 216041: - _param_216041 - Experimental product 216042: - _param_216042 - Experimental product 216043: - _param_216043 - Experimental product 216044: - _param_216044 - Experimental product 216045: - _param_216045 - Experimental product 216046: - _param_216046 - Experimental product 216047: - _param_216047 - Experimental product 216048: - _param_216048 - Experimental product 216049: - _param_216049 - Experimental product 216050: - _param_216050 - Experimental product 216051: - _param_216051 - Experimental product 216052: - _param_216052 - Experimental product 216053: - _param_216053 - Experimental product 216054: - _param_216054 - Experimental product 216055: - _param_216055 - Experimental product 216056: - _param_216056 - Experimental product 216057: - _param_216057 - Experimental product 216058: - _param_216058 - Experimental product 216059: - _param_216059 - Experimental product 216060: - _param_216060 - Experimental product 216061: - _param_216061 - Experimental product 216062: - _param_216062 - Experimental product 216063: - _param_216063 - Experimental product 216064: - _param_216064 - Experimental product 216065: - _param_216065 - Experimental product 216066: - _param_216066 - Experimental product 216067: - _param_216067 - Experimental product 216068: - _param_216068 - Experimental product 216069: - _param_216069 - Experimental product 216070: - _param_216070 - Experimental product 216071: - _param_216071 - Experimental product 216072: - _param_216072 - Experimental product 216073: - _param_216073 - Experimental product 216074: - _param_216074 - Experimental product 216075: - _param_216075 - Experimental product 216076: - _param_216076 - Experimental product 216077: - _param_216077 - Experimental product 216078: - _param_216078 - Experimental product 216079: - _param_216079 - Experimental product 216080: - _param_216080 - Experimental product 216081: - _param_216081 - Experimental product 216082: - _param_216082 - Experimental product 216083: - _param_216083 - Experimental product 216084: - _param_216084 - Experimental product 216085: - _param_216085 - Experimental product 216086: - _param_216086 - Experimental product 216087: - _param_216087 - Experimental product 216088: - _param_216088 - Experimental product 216089: - _param_216089 - Experimental product 216090: - _param_216090 - Experimental product 216091: - _param_216091 - Experimental product 216092: - _param_216092 - Experimental product 216093: - _param_216093 - Experimental product 216094: - _param_216094 - Experimental product 216095: - _param_216095 - Experimental product 216096: - _param_216096 - Experimental product 216097: - _param_216097 - Experimental product 216098: - _param_216098 - Experimental product 216099: - _param_216099 - Experimental product 216100: - _param_216100 - Experimental product 216101: - _param_216101 - Experimental product 216102: - _param_216102 - Experimental product 216103: - _param_216103 - Experimental product 216104: - _param_216104 - Experimental product 216105: - _param_216105 - Experimental product 216106: - _param_216106 - Experimental product 216107: - _param_216107 - Experimental product 216108: - _param_216108 - Experimental product 216109: - _param_216109 - Experimental product 216110: - _param_216110 - Experimental product 216111: - _param_216111 - Experimental product 216112: - _param_216112 - Experimental product 216113: - _param_216113 - Experimental product 216114: - _param_216114 - Experimental product 216115: - _param_216115 - Experimental product 216116: - _param_216116 - Experimental product 216117: - _param_216117 - Experimental product 216118: - _param_216118 - Experimental product 216119: - _param_216119 - Experimental product 216120: - _param_216120 - Experimental product 216121: - _param_216121 - Experimental product 216122: - _param_216122 - Experimental product 216123: - _param_216123 - Experimental product 216124: - _param_216124 - Experimental product 216125: - _param_216125 - Experimental product 216126: - _param_216126 - Experimental product 216127: - _param_216127 - Experimental product 216128: - _param_216128 - Experimental product 216129: - _param_216129 - Experimental product 216130: - _param_216130 - Experimental product 216131: - _param_216131 - Experimental product 216132: - _param_216132 - Experimental product 216133: - _param_216133 - Experimental product 216134: - _param_216134 - Experimental product 216135: - _param_216135 - Experimental product 216136: - _param_216136 - Experimental product 216137: - _param_216137 - Experimental product 216138: - _param_216138 - Experimental product 216139: - _param_216139 - Experimental product 216140: - _param_216140 - Experimental product 216141: - _param_216141 - Experimental product 216142: - _param_216142 - Experimental product 216143: - _param_216143 - Experimental product 216144: - _param_216144 - Experimental product 216145: - _param_216145 - Experimental product 216146: - _param_216146 - Experimental product 216147: - _param_216147 - Experimental product 216148: - _param_216148 - Experimental product 216149: - _param_216149 - Experimental product 216150: - _param_216150 - Experimental product 216151: - _param_216151 - Experimental product 216152: - _param_216152 - Experimental product 216153: - _param_216153 - Experimental product 216154: - _param_216154 - Experimental product 216155: - _param_216155 - Experimental product 216156: - _param_216156 - Experimental product 216157: - _param_216157 - Experimental product 216158: - _param_216158 - Experimental product 216159: - _param_216159 - Experimental product 216160: - _param_216160 - Experimental product 216161: - _param_216161 - Experimental product 216162: - _param_216162 - Experimental product 216163: - _param_216163 - Experimental product 216164: - _param_216164 - Experimental product 216165: - _param_216165 - Experimental product 216166: - _param_216166 - Experimental product 216167: - _param_216167 - Experimental product 216168: - _param_216168 - Experimental product 216169: - _param_216169 - Experimental product 216170: - _param_216170 - Experimental product 216171: - _param_216171 - Experimental product 216172: - _param_216172 - Experimental product 216173: - _param_216173 - Experimental product 216174: - _param_216174 - Experimental product 216175: - _param_216175 - Experimental product 216176: - _param_216176 - Experimental product 216177: - _param_216177 - Experimental product 216178: - _param_216178 - Experimental product 216179: - _param_216179 - Experimental product 216180: - _param_216180 - Experimental product 216181: - _param_216181 - Experimental product 216182: - _param_216182 - Experimental product 216183: - _param_216183 - Experimental product 216184: - _param_216184 - Experimental product 216185: - _param_216185 - Experimental product 216186: - _param_216186 - Experimental product 216187: - _param_216187 - Experimental product 216188: - _param_216188 - Experimental product 216189: - _param_216189 - Experimental product 216190: - _param_216190 - Experimental product 216191: - _param_216191 - Experimental product 216192: - _param_216192 - Experimental product 216193: - _param_216193 - Experimental product 216194: - _param_216194 - Experimental product 216195: - _param_216195 - Experimental product 216196: - _param_216196 - Experimental product 216197: - _param_216197 - Experimental product 216198: - _param_216198 - Experimental product 216199: - _param_216199 - Experimental product 216200: - _param_216200 - Experimental product 216201: - _param_216201 - Experimental product 216202: - _param_216202 - Experimental product 216203: - _param_216203 - Experimental product 216204: - _param_216204 - Experimental product 216205: - _param_216205 - Experimental product 216206: - _param_216206 - Experimental product 216207: - _param_216207 - Experimental product 216208: - _param_216208 - Experimental product 216209: - _param_216209 - Experimental product 216210: - _param_216210 - Experimental product 216211: - _param_216211 - Experimental product 216212: - _param_216212 - Experimental product 216213: - _param_216213 - Experimental product 216214: - _param_216214 - Experimental product 216215: - _param_216215 - Experimental product 216216: - _param_216216 - Experimental product 216217: - _param_216217 - Experimental product 216218: - _param_216218 - Experimental product 216219: - _param_216219 - Experimental product 216220: - _param_216220 - Experimental product 216221: - _param_216221 - Experimental product 216222: - _param_216222 - Experimental product 216223: - _param_216223 - Experimental product 216224: - _param_216224 - Experimental product 216225: - _param_216225 - Experimental product 216226: - _param_216226 - Experimental product 216227: - _param_216227 - Experimental product 216228: - _param_216228 - Experimental product 216229: - _param_216229 - Experimental product 216230: - _param_216230 - Experimental product 216231: - _param_216231 - Experimental product 216232: - _param_216232 - Experimental product 216233: - _param_216233 - Experimental product 216234: - _param_216234 - Experimental product 216235: - _param_216235 - Experimental product 216236: - _param_216236 - Experimental product 216237: - _param_216237 - Experimental product 216238: - _param_216238 - Experimental product 216239: - _param_216239 - Experimental product 216240: - _param_216240 - Experimental product 216241: - _param_216241 - Experimental product 216242: - _param_216242 - Experimental product 216243: - _param_216243 - Experimental product 216244: - _param_216244 - Experimental product 216245: - _param_216245 - Experimental product 216246: - _param_216246 - Experimental product 216247: - _param_216247 - Experimental product 216248: - _param_216248 - Experimental product 216249: - _param_216249 - Experimental product 216250: - _param_216250 - Experimental product 216251: - _param_216251 - Experimental product 216252: - _param_216252 - Experimental product 216253: - _param_216253 - Experimental product 216254: - _param_216254 - Experimental product 216255: - _param_216255 - Experimental product 217003: - h2o2 - Hydrogen peroxide 217004: - ch4_c - Methane (chemistry) 217006: - hno3 - Nitric acid 217007: - ch3ooh - Methyl peroxide 217009: - par - Paraffins 217010: - c2h4 - Ethene 217011: - ole - Olefins 217012: - ald2 - Aldehydes 217013: - pan - Peroxyacetyl nitrate 217014: - rooh - Peroxides 217015: - onit - Organic nitrates 217016: - c5h8 - Isoprene 217018: - dms - Dimethyl sulfide 217019: - nh3 - Ammonia mass mixing ratio 217020: - so4 - Sulfate 217021: - nh4 - Ammonium 217022: - msa - Methane sulfonic acid 217023: - ch3cocho - Methyl glyoxal 217024: - o3s - Stratospheric ozone 217026: - pb - Lead 217027: - 'no' - Nitrogen monoxide mass mixing ratio 217028: - ho2 - Hydroperoxy radical 217029: - ch3o2 - Methylperoxy radical 217030: - oh - Hydroxyl radical 217032: - no3 - Nitrate radical 217033: - n2o5 - Dinitrogen pentoxide 217034: - ho2no2 - Pernitric acid 217035: - c2o3 - Peroxy acetyl radical 217036: - ror - Organic ethers 217037: - rxpar - PAR budget corrector 217038: - xo2 - NO to NO2 operator 217039: - xo2n - NO to alkyl nitrate operator 217040: - nh2 - Amine 217041: - psc - Polar stratospheric cloud 217042: - ch3oh - Methanol 217043: - hcooh - Formic acid 217044: - mcooh - Methacrylic acid 217045: - c2h6 - Ethane 217046: - c2h5oh - Ethanol 217047: - c3h8 - Propane 217048: - c3h6 - Propene 217049: - c10h16 - Terpenes 217050: - ispd - Methacrolein MVK 217051: - no3_a - Nitrate 217052: - ch3coch3 - Acetone 217053: - aco2 - Acetone product 217054: - ic3h7o2 217055: - hypropo2 217056: - noxa - Nitrogen oxides Transp 217057: - co2_c - Carbon dioxide (chemistry) 217058: - n2o_c - Nitrous oxide (chemistry) 217059: - h2o - Water vapour (chemistry) 217060: - o2 - Oxygen 217061: - o2_1s - Singlet oxygen 217062: - o2_1d - Singlet delta oxygen 217063: - oclo - Chlorine dioxide 217064: - clono2 - Chlorine nitrate 217065: - hocl - Hypochlorous acid 217066: - cl2 - Chlorine 217067: - clno2 - Nitryl chloride 217068: - hbr - Hydrogen bromide 217069: - cl2o2 - Dichlorine dioxide 217070: - hobr - Hypobromous acid 217071: - cfc11 - Trichlorofluoromethane 217072: - cfc12 - Dichlorodifluoromethane 217073: - cfc113 - Trichlorotrifluoroethane 217074: - cfc114 - Dichlorotetrafluoroethane 217075: - cfc115 - Chloropentafluoroethane 217076: - ccl4 - Tetrachloromethane 217077: - ch3ccl3 - Methyl chloroform 217078: - ch3cl - Methyl chloride 217079: - hcfc22 - Chlorodifluoromethane 217080: - ch3br - Methyl bromide 217081: - ha1202 - Dibromodifluoromethane 217082: - ha1211 - Bromochlorodifluoromethane 217083: - ha1301 - Trifluorobromomethane 217084: - ha2402 - Cbrf2cbrf2 217085: - h2so4 - Sulfuric acid 217086: - hono - Nitrous acid 217087: - hc3 - Alkanes low oh rate 217088: - hc5 - Alkanes med oh rate 217089: - hc8 - Alkanes high oh rate 217090: - olt - Terminal alkenes 217091: - oli - Internal alkenes 217092: - c2h5o2 - Ethylperoxy radical 217093: - dien - Butadiene 217094: - c2h5ooh - Ethyl hydroperoxide 217095: - api - A-pinene cyclic terpenes 217096: - ch3cooh - Acetic acid 217097: - lim - D-limonene cyclic diene 217098: - ch3cho - Acetaldehyde 217099: - tol - Toluene and less reactive aromatics 217100: - xyl - Xylene and more reactive aromatics 217101: - glyald - Glycolaldehyde 217102: - cresol 217103: - ald - Acetaldehyde and higher 217104: - ch3coooh - Peracetic acid 217105: - ket - Ketones 217106: - eo2 - Hoch2ch2o2 217107: - glyoxal 217108: - eo - Hoch2ch2o 217109: - dcb - Unsaturated dicarbonyls 217110: - macr - Methacrolein 217111: - udd - Unsaturated hydroxy dicarbonyl 217112: - c3h7o2 - Isopropyldioxidanyl 217113: - hket - Hydroxy ketone 217114: - c3h7ooh - Isopropyl hydroperoxide 217115: - po2 - C3h6oho2 217116: - pooh - C3h6ohooh 217117: - op2 - Higher organic peroxides 217118: - hyac - Hydroxyacetone 217119: - paa - Peroxyacetic acid 217120: - ro2 - Ch3coch2o2 217121: - ethp - Peroxy radical from c2h6 217122: - hc3p - Peroxy radical from hc3 217123: - hc5p - Peroxy radical from hc5 217124: - bigene - Lumped alkenes 217125: - hc8p - Peroxy radical from hc8 217126: - bigalk - Lumped alkanes 217127: - etep - Peroxy radical from c2h4 217128: - mek - C4h8o 217129: - oltp - Peroxy radical from terminal alkenes 217130: - eneo2 - C4h9o3 217131: - olip - Peroxy radical from internal alkenes 217132: - meko2 - Ch3coch(oo)ch3 217133: - isopo2 - Peroxy radical from c5h8 217134: - mekooh - Ch3coch(ooh)ch3 217135: - apip - Peroxy radical from a-pinene cyclic terpenes 217136: - mco3 - Ch2=c(ch3)co3 217137: - limp - Peroxy radical from d-limonene cyclic diene 217138: - mvk - Methylvinylketone 217139: - pho - Phenoxy radical 217140: - tolp - Peroxy radical from toluene and less reactive aromatics 217141: - macro2 - Ch3c(o)ch(oo)ch2oh 217142: - xylp - Peroxy radical from xylene and more reactive aromatics 217143: - macrooh - H3c(o)ch(ooh)ch2oh 217144: - cslp - Peroxy radical from cresol 217145: - mpan - Unsaturated pans 217146: - tco3_c - Unsaturated acyl peroxy radical 217147: - ketp - Peroxy radical from ketones 217148: - alko2 - C5h11o2 217149: - olnn - No3-alkenes adduct reacting to form carbonitrates 217150: - alkooh - C5h11ooh 217151: - olnd - No3-alkenes adduct reacting via decomposition 217152: - bigald - Hoch2c(ch3)=chcho 217153: - hydrald - C5h6o2 217154: - sulf - Trop sulfuric acid 217155: - ox - Oxides 217156: - isopno3 - Ch2chc(ch3)(oo)ch2ono2 217157: - onitr - C3 organic nitrate 217158: - clox - Chlorine oxides 217159: - brox - Bromine oxides 217160: - xooh - Hoch2c(ooh)(ch3)chchoh 217161: - isopooh - Hoch2c(ooh)(ch3)ch=ch2 217162: - toluene - Lumped aromatics 217163: - dmso - Dimethyl sulfoxyde 217164: - tolo2 - C7h9o5 217165: - tolooh - C7h10o5 217166: - h2s - Hydrogensulfide 217167: - xoh - C7h10o6 217168: - noy - All nitrogen oxides 217169: - cly - Chlorine family 217170: - terpo2 - C10h16(oh)(oo) 217171: - bry - Bromine family 217172: - terpooh - C10h18o3 217173: - n - Nitrogen atom 217174: - clo - Chlorine monoxide 217175: - cl_c - Chlorine atom 217176: - bro - Bromine monoxide 217177: - h_c - Hydrogen atom 217178: - ch3 - Methyl group 217179: - addt - Aromatic-ho from toluene and less reactive aromatics 217180: - addx - Aromatic-ho from xylene and more reactive aromatics 217181: - nh4no3 - Ammonium nitrate 217182: - addc - Aromatic-ho from csl 217183: - soa1 - Secondary organic aerosol type 1 217184: - soa2a - Secondary organic aerosol type 2a 217185: - soa2b - Secondary organic aerosol type 2b 217186: - sog1 - Condensable gas type 1 217187: - sog2a - Condensable gas type 2a 217188: - sog2b - Condensable gas type 2b 217189: - so3 - Sulfur trioxide 217190: - ocs_c - Carbonyl sulfide 217191: - br - Bromine atom 217192: - br2 - Bromine 217193: - brcl - Bromine monochloride 217194: - brono2 - Bromine nitrate 217195: - ch2br2 - Dibromomethane 217196: - ch3o - Methoxy radical 217197: - chbr3 - Tribromomethane 217198: - cloo - Asymmetric chlorine dioxide radical 217199: - h2 - Hydrogen 217200: - hcl - Hydrogen chloride 217201: - hco - Formyl radical 217202: - hf - Hydrogen fluoride 217203: - o - Oxygen atom 217204: - o1d - Excited oxygen atom 217205: - o3p - Ground state oxygen atom 217206: - strataer - Stratospheric aerosol 217222: - aroo2 - Aromatic peroxy radical mass mixing ratio 217223: - c2h2 - Ethyne mass mixing ratio 217224: - ch3cn - Acetonitrile mass mixing ratio 217225: - ch3o2no2 - Methyl peroxy nitrate mass mixing ratio 217226: - hcn - Hydrogen cyanide mass mixing ratio 217227: - hpald1 - Hydroperoxy aldehydes type 1 mass mixing ratio 217228: - hpald - Hydroperoxy aldehydes type 2 mass mixing ratio 217229: - isopbo2 - Isoprene peroxy type B mass mixing ratio 217230: - isopdo2 - Isoprene peroxy type D mass mixing ratio 217231: - voca - Anthropogenic volatile organic compounds mass mixing ratio 217232: - vocbb - Biomass burning volatile organic compounds mass mixing ratio 218003: - tc_h2o2 - Total column hydrogen peroxide 218004: - tc_ch4 - Total column methane 218006: - tc_hno3 - Total column nitric acid 218007: - tc_ch3ooh - Total column methyl peroxide 218009: - tc_par - Total column paraffins 218010: - tc_c2h4 - Total column ethene 218011: - tc_ole - Total column olefins 218012: - tc_ald2 - Total column aldehydes 218013: - tc_pan - Total column peroxyacetyl nitrate 218014: - tc_rooh - Total column peroxides 218015: - tc_onit - Total column organic nitrates 218016: - tc_c5h8 - Total column isoprene 218018: - tc_dms - Total column dimethyl sulfide 218019: - tc_nh3 - Total column ammonia 218020: - tc_so4 - Total column sulfate 218021: - tc_nh4 - Total column ammonium 218022: - tc_msa - Total column methane sulfonic acid 218023: - tc_ch3cocho - Total column methyl glyoxal 218024: - tc_o3s - Total column stratospheric ozone 218026: - tc_pb - Total column lead 218027: - tc_no - Total column nitrogen monoxide 218028: - tc_ho2 - Total column hydroperoxy radical 218029: - tc_ch3o2 - Total column methylperoxy radical 218030: - tc_oh - Total column hydroxyl radical 218032: - tc_no3 - Total column nitrate radical 218033: - tc_n2o5 - Total column dinitrogen pentoxide 218034: - tc_ho2no2 - Total column pernitric acid 218035: - tc_c2o3 - Total column peroxy acetyl radical 218036: - tc_ror - Total column organic ethers 218037: - tc_rxpar - Total column PAR budget corrector 218038: - tc_xo2 - Total column NO to NO2 operator 218039: - tc_xo2n - Total column NO to alkyl nitrate operator 218040: - tc_nh2 - Total column amine 218041: - tc_psc - Total column polar stratospheric cloud 218042: - tc_ch3oh - Total column methanol 218043: - tc_hcooh - Total column formic acid 218044: - tc_mcooh - Total column methacrylic acid 218045: - tc_c2h6 - Total column ethane 218046: - tc_c2h5oh - Total column ethanol 218047: - tc_c3h8 - Total column propane 218048: - tc_c3h6 - Total column propene 218049: - tc_c10h16 - Total column terpenes 218050: - tc_ispd - Total column methacrolein MVK 218051: - tc_no3_a - Total column nitrate 218052: - tc_ch3coch3 - Total column acetone 218053: - tc_aco2 - Total column acetone product 218054: - tc_ic3h7o2 - Total column IC3H7O2 218055: - tc_hypropo2 - Total column HYPROPO2 218056: - tc_noxa - Total column nitrogen oxides Transp 218057: - tc_co2_c - Total column of carbon dioxide (chemistry) 218058: - tc_n2o_c - Total column of nitrous oxide (chemistry) 218059: - tc_h2o - Total column of water vapour (chemistry) 218060: - tc_o2 - Total column of oxygen 218061: - tc_o2_1s - Total column of singlet oxygen 218062: - tc_o2_1d - Total column of singlet delta oxygen 218063: - tc_oclo - Total column of chlorine dioxide 218064: - tc_clono2 - Total column of chlorine nitrate 218065: - tc_hocl - Total column of hypochlorous acid 218066: - tc_cl2 - Total column of chlorine 218067: - tc_clno2 - Total column of nitryl chloride 218068: - tc_hbr - Total column of hydrogen bromide 218069: - tc_cl2o2 - Total column of dichlorine dioxide 218070: - tc_hobr - Total column of hypobromous acid 218071: - tc_cfc11 - Total column of trichlorofluoromethane 218072: - tc_cfc12 - Total column of dichlorodifluoromethane 218073: - tc_cfc113 - Total column of trichlorotrifluoroethane 218074: - tc_cfc114 - Total column of dichlorotetrafluoroethane 218075: - tc_cfc115 - Total column of chloropentafluoroethane 218076: - tc_ccl4 - Total column of tetrachloromethane 218077: - tc_ch3ccl3 - Total column of methyl chloroform 218078: - tc_ch3cl - Total column of methyl chloride 218079: - tc_hcfc22 - Total column of chlorodifluoromethane 218080: - tc_ch3br - Total column of methyl bromide 218081: - tc_ha1202 - Total column of dibromodifluoromethane 218082: - tc_ha1211 - Total column of bromochlorodifluoromethane 218083: - tc_ha1301 - Total column of trifluorobromomethane 218084: - tc_ha2402 - Total column of cbrf2cbrf2 218085: - tc_h2so4 - Total column of sulfuric acid 218086: - tc_hono - Total column of nitrous acid 218087: - tc_hc3 - Total column of alkanes low oh rate 218088: - tc_hc5 - Total column of alkanes med oh rate 218089: - tc_hc8 - Total column of alkanes high oh rate 218090: - tc_olt - Total column of terminal alkenes 218091: - tc_oli - Total column of internal alkenes 218092: - tc_c2h5o2 - Total column of ethylperoxy radical 218093: - tc_dien - Total column of butadiene 218094: - tc_c2h5ooh - Total column of ethyl hydroperoxide 218095: - tc_api - Total column of a-pinene cyclic terpenes 218096: - tc_ch3cooh - Total column of acetic acid 218097: - tc_lim - Total column of d-limonene cyclic diene 218098: - tc_ch3cho - Total column of acetaldehyde 218099: - tc_tol - Total column of toluene and less reactive aromatics 218100: - tc_xyl - Total column of xylene and more reactive aromatics 218101: - tc_glyald - Total column of glycolaldehyde 218102: - tc_cresol - Total column of cresol 218103: - tc_ald - Total column of acetaldehyde and higher 218104: - tc_ch3coooh - Total column of peracetic acid 218105: - tc_ket - Total column of ketones 218106: - tc_eo2 - Total column of hoch2ch2o2 218107: - tc_glyoxal - Total column of glyoxal 218108: - tc_eo - Total column of hoch2ch2o 218109: - tc_dcb - Total column of unsaturated dicarbonyls 218110: - tc_macr - Total column of methacrolein 218111: - tc_udd - Total column of unsaturated hydroxy dicarbonyl 218112: - tc_c3h7o2 - Total column of isopropyldioxidanyl 218113: - tc_hket - Total column of hydroxy ketone 218114: - tc_c3h7ooh - Total column of isopropyl hydroperoxide 218115: - tc_po2 - Total column of c3h6oho2 218116: - tc_pooh - Total column of c3h6ohooh 218117: - tc_op2 - Total column of higher organic peroxides 218118: - tc_hyac - Total column of hydroxyacetone 218119: - tc_paa - Total column of peroxyacetic acid 218120: - tc_ro2 - Total column of ch3coch2o2 218121: - tc_ethp - Total column of peroxy radical from c2h6 218122: - tc_hc3p - Total column of peroxy radical from hc3 218123: - tc_hc5p - Total column of peroxy radical from hc5 218124: - tc_bigene - Total column of lumped alkenes 218125: - tc_hc8p - Total column of peroxy radical from hc8 218126: - tc_bigalk - Total column of lumped alkanes 218127: - tc_etep - Total column of peroxy radical from c2h4 218128: - tc_mek - Total column of c4h8o 218129: - tc_oltp - Total column of peroxy radical from terminal alkenes 218130: - tc_eneo2 - Total column of c4h9o3 218131: - tc_olip - Total column of peroxy radical from internal alkenes 218132: - tc_meko2 - Total column of ch3coch(oo)ch3 218133: - tc_isopo2 - Total column of peroxy radical from c5h8 218134: - tc_mekooh - Total column of ch3coch(ooh)ch3 218135: - tc_apip - Total column of peroxy radical from a-pinene cyclic terpenes 218136: - tc_mco3 - Total column of ch2=c(ch3)co3 218137: - tc_limp - Total column of peroxy radical from d-limonene cyclic diene 218138: - tc_mvk - Total column of methylvinylketone 218139: - tc_pho - Total column of phenoxy radical 218140: - tc_tolp - Total column of peroxy radical from toluene and less reactive aromatics 218141: - tc_macro2 - Total column of ch3c(o)ch(oo)ch2oh 218142: - tc_xylp - Total column of peroxy radical from xylene and more reactive aromatics 218143: - tc_macrooh - Total column of h3c(o)ch(ooh)ch2oh 218144: - tc_cslp - Total column of peroxy radical from cresol 218145: - tc_mpan - Total column of unsaturated pans 218146: - tc_tco3_c - Total column of unsaturated acyl peroxy radical 218147: - tc_ketp - Total column of peroxy radical from ketones 218148: - tc_alko2 - Total column of c5h11o2 218149: - tc_olnn - Total column of no3-alkenes adduct reacting to form carbonitrates 218150: - tc_alkooh - Total column of c5h11ooh 218151: - tc_olnd - Total column of no3-alkenes adduct reacting via decomposition 218152: - tc_bigald - Total column of hoch2c(ch3)=chcho 218153: - tc_hydrald - Total column of c5h6o2 218154: - tc_sulf - Total column of trop sulfuric acid 218155: - tc_ox - Total column of oxides 218156: - tc_isopno3 - Total column of ch2chc(ch3)(oo)ch2ono2 218157: - tc_onitr - Total column of c3 organic nitrate 218158: - tc_clox - Total column of chlorine oxides 218159: - tc_brox - Total column of bromine oxides 218160: - tc_xooh - Total column of hoch2c(ooh)(ch3)chchoh 218161: - tc_isopooh - Total column of hoch2c(ooh)(ch3)ch=ch2 218162: - tc_toluene - Total column of lumped aromatics 218163: - tc_dmso - Total column of dimethyl sulfoxyde 218164: - tc_tolo2 - Total column of c7h9o5 218165: - tc_tolooh - Total column of c7h10o5 218166: - tc_h2s - Total column of hydrogensulfide 218167: - tc_xoh - Total column of c7h10o6 218168: - tc_noy - Total column of all nitrogen oxides 218169: - tc_cly - Total column of chlorine family 218170: - tc_terpo2 - Total column of c10h16(oh)(oo) 218171: - tc_bry - Total column of bromine family 218172: - tc_terpooh - Total column of c10h18o3 218173: - tc_n - Total column of nitrogen atom 218174: - tc_clo - Total column of chlorine monoxide 218175: - tc_cl_c - Total column of chlorine atom 218176: - tc_bro - Total column of bromine monoxide 218177: - tc_h_c - Total column of hydrogen atom 218178: - tc_ch3 - Total column of methyl group 218179: - tc_addt - Total column of aromatic-ho from toluene and less reactive aromatics 218180: - tc_addx - Total column of aromatic-ho from xylene and more reactive aromatics 218181: - tc_nh4no3 - Total column of ammonium nitrate 218182: - tc_addc - Total column of aromatic-ho from csl 218183: - tc_soa1 - Total column of secondary organic aerosol type 1 218184: - tc_soa2a - Total column of secondary organic aerosol type 2a 218185: - tc_soa2b - Total column of secondary organic aerosol type 2b 218186: - tc_sog1 - Total column of condensable gas type 1 218187: - tc_sog2a - Total column of condensable gas type 2a 218188: - tc_sog2b - Total column of condensable gas type 2b 218189: - tc_so3 - Total column of sulfur trioxide 218190: - tc_ocs_c - Total column of carbonyl sulfide 218191: - tc_br - Total column of bromine atom 218192: - tc_br2 - Total column of bromine 218193: - tc_brcl - Total column of bromine monochloride 218194: - tc_brono2 - Total column of bromine nitrate 218195: - tc_ch2br2 - Total column of dibromomethane 218196: - tc_ch3o - Total column of methoxy radical 218197: - tc_chbr3 - Total column of tribromomethane 218198: - tc_cloo - Total column of asymmetric chlorine dioxide radical 218199: - tc_h2 - Total column of hydrogen 218200: - tc_hcl - Total column of hydrogen chloride 218201: - tc_hco - Total column of formyl radical 218202: - tc_hf - Total column of hydrogen fluoride 218203: - tc_o - Total column of oxygen atom 218204: - tc_o1d - Total column of excited oxygen atom 218205: - tc_o3p - Total column of ground state oxygen atom 218206: - tc_strataer - Total column of stratospheric aerosol 218221: - tc_vso2 - Column integrated mass density of Volcanic sulfur dioxide 218222: - tc_aroo2 - Column integrated mass density of Aromatic peroxy radical 218223: - tc_c2h2 - Column integrated mass density of Ethyne 218224: - tc_ch3cn - Column integrated mass density of Acetonitrile 218225: - tc_ch3o2no2 - Column integrated mass density of Methyl peroxy nitrate 218226: - tc_hcn - Column integrated mass density of Hydrogen cyanide 218227: - tc_hpald1 - Column integrated mass density of Hydroperoxy aldehydes type 1 218228: - tc_hpald2 - Column integrated mass density of Hydroperoxy aldehydes type 2 218229: - tc_isopbo2 - Column integrated mass density of Isoprene peroxy type B 218230: - tc_isopdo2 - Column integrated mass density of Isoprene peroxy type D 218231: - tc_voca - Column integrated mass density of Anthropogenic volatile organic compounds 218232: - tc_vocbb - Column integrated mass density of Biomass burning volatile organic compounds 219001: - e_go3 - Ozone emissions 219002: - e_nox - Nitrogen oxides emissions 219003: - e_h2o2 - Hydrogen peroxide emissions 219004: - e_ch4 - Methane emissions 219005: - e_co - Carbon monoxide emissions 219006: - e_hno3 - Nitric acid emissions 219007: - e_ch3ooh - Methyl peroxide emissions 219008: - e_hcho - Formaldehyde emissions 219009: - e_par - Paraffins emissions 219010: - e_c2h4 - Ethene emissions 219011: - e_ole - Olefins emissions 219012: - e_ald2 - Aldehydes emissions 219013: - e_pan - Peroxyacetyl nitrate emissions 219014: - e_rooh - Peroxides emissions 219015: - e_onit - Organic nitrates emissions 219016: - e_c5h8 - Isoprene emissions 219017: - e_so2 - Sulfur dioxide emissions 219018: - e_dms - Dimethyl sulfide emissions 219019: - e_nh3 - Ammonia emissions 219020: - e_so4 - Sulfate emissions 219021: - e_nh4 - Ammonium emissions 219022: - e_msa - Methane sulfonic acid emissions 219023: - e_ch3cocho - Methyl glyoxal emissions 219024: - e_o3s - Stratospheric ozone emissions 219025: - e_ra - Radon emissions 219026: - e_pb - Lead emissions 219027: - e_no - Nitrogen monoxide emissions 219028: - e_ho2 - Hydroperoxy radical emissions 219029: - e_ch3o2 - Methylperoxy radical emissions 219030: - e_oh - Hydroxyl radical emissions 219031: - e_no2 - Nitrogen dioxide emissions 219032: - e_no3 - Nitrate radical emissions 219033: - e_n2o5 - Dinitrogen pentoxide emissions 219034: - e_ho2no2 - Pernitric acid emissions 219035: - e_c2o3 - Peroxy acetyl radical emissions 219036: - e_ror - Organic ethers emissions 219037: - e_rxpar - PAR budget corrector emissions 219038: - e_xo2 - NO to NO2 operator emissions 219039: - e_xo2n - NO to alkyl nitrate operator emissions 219040: - e_nh2 - Amine emissions 219041: - e_psc - Polar stratospheric cloud emissions 219042: - e_ch3oh - Methanol emissions 219043: - e_hcooh - Formic acid emissions 219044: - e_mcooh - Methacrylic acid emissions 219045: - e_c2h6 - Ethane emissions 219046: - e_c2h5oh - Ethanol emissions 219047: - e_c3h8 - Propane emissions 219048: - e_c3h6 - Propene emissions 219049: - e_c10h16 - Terpenes emissions 219050: - e_ispd - Methacrolein MVK emissions 219051: - e_no3_a - Nitrate emissions 219052: - e_ch3coch3 - Acetone emissions 219053: - e_aco2 - Acetone product emissions 219054: - e_ic3h7o2 - IC3H7O2 emissions 219055: - e_hypropo2 - HYPROPO2 emissions 219056: - e_noxa - Nitrogen oxides Transp emissions 219057: - e_co2_c - Emissions of carbon dioxide (chemistry) 219058: - e_n2o_c - Emissions of nitrous oxide (chemistry) 219059: - e_h2o - Emissions of water vapour (chemistry) 219060: - e_o2 - Emissions of oxygen 219061: - e_o2_1s - Emissions of singlet oxygen 219062: - e_o2_1d - Emissions of singlet delta oxygen 219063: - e_oclo - Emissions of chlorine dioxide 219064: - e_clono2 - Emissions of chlorine nitrate 219065: - e_hocl - Emissions of hypochlorous acid 219066: - e_cl2 - Emissions of chlorine 219067: - e_clno2 - Emissions of nitryl chloride 219068: - e_hbr - Emissions of hydrogen bromide 219069: - e_cl2o2 - Emissions of dichlorine dioxide 219070: - e_hobr - Emissions of hypobromous acid 219071: - e_cfc11 - Emissions of trichlorofluoromethane 219072: - e_cfc12 - Emissions of dichlorodifluoromethane 219073: - e_cfc113 - Emissions of trichlorotrifluoroethane 219074: - e_cfc114 - Emissions of dichlorotetrafluoroethane 219075: - e_cfc115 - Emissions of chloropentafluoroethane 219076: - e_ccl4 - Emissions of tetrachloromethane 219077: - e_ch3ccl3 - Emissions of methyl chloroform 219078: - e_ch3cl - Emissions of methyl chloride 219079: - e_hcfc22 - Emissions of chlorodifluoromethane 219080: - e_ch3br - Emissions of methyl bromide 219081: - e_ha1202 - Emissions of dibromodifluoromethane 219082: - e_ha1211 - Emissions of bromochlorodifluoromethane 219083: - e_ha1301 - Emissions of trifluorobromomethane 219084: - e_ha2402 - Emissions of cbrf2cbrf2 219085: - e_h2so4 - Emissions of sulfuric acid 219086: - e_hono - Emissions of nitrous acid 219087: - e_hc3 - Emissions of alkanes low oh rate 219088: - e_hc5 - Emissions of alkanes med oh rate 219089: - e_hc8 - Emissions of alkanes high oh rate 219090: - e_olt - Emissions of terminal alkenes 219091: - e_oli - Emissions of internal alkenes 219092: - e_c2h5o2 - Emissions of ethylperoxy radical 219093: - e_dien - Emissions of butadiene 219094: - e_c2h5ooh - Emissions of ethyl hydroperoxide 219095: - e_api - Emissions of a-pinene cyclic terpenes 219096: - e_ch3cooh - Emissions of acetic acid 219097: - e_lim - Emissions of d-limonene cyclic diene 219098: - e_ch3cho - Emissions of acetaldehyde 219099: - e_tol - Emissions of toluene and less reactive aromatics 219100: - e_xyl - Emissions of xylene and more reactive aromatics 219101: - e_glyald - Emissions of glycolaldehyde 219102: - e_cresol - Emissions of cresol 219103: - e_ald - Emissions of acetaldehyde and higher 219104: - e_ch3coooh - Emissions of peracetic acid 219105: - e_ket - Emissions of ketones 219106: - e_eo2 - Emissions of hoch2ch2o2 219107: - e_glyoxal - Emissions of glyoxal 219108: - e_eo - Emissions of hoch2ch2o 219109: - e_dcb - Emissions of unsaturated dicarbonyls 219110: - e_macr - Emissions of methacrolein 219111: - e_udd - Emissions of unsaturated hydroxy dicarbonyl 219112: - e_c3h7o2 - Emissions of isopropyldioxidanyl 219113: - e_hket - Emissions of hydroxy ketone 219114: - e_c3h7ooh - Emissions of isopropyl hydroperoxide 219115: - e_po2 - Emissions of c3h6oho2 219116: - e_pooh - Emissions of c3h6ohooh 219117: - e_op2 - Emissions of higher organic peroxides 219118: - e_hyac - Emissions of hydroxyacetone 219119: - e_paa - Emissions of peroxyacetic acid 219120: - e_ro2 - Emissions of ch3coch2o2 219121: - e_ethp - Emissions of peroxy radical from c2h6 219122: - e_hc3p - Emissions of peroxy radical from hc3 219123: - e_hc5p - Emissions of peroxy radical from hc5 219124: - e_bigene - Emissions of lumped alkenes 219125: - e_hc8p - Emissions of peroxy radical from hc8 219126: - e_bigalk - Emissions of lumped alkanes 219127: - e_etep - Emissions of peroxy radical from c2h4 219128: - e_mek - Emissions of c4h8o 219129: - e_oltp - Emissions of peroxy radical from terminal alkenes 219130: - e_eneo2 - Emissions of c4h9o3 219131: - e_olip - Emissions of peroxy radical from internal alkenes 219132: - e_meko2 - Emissions of ch3coch(oo)ch3 219133: - e_isopo2 - Emissions of peroxy radical from c5h8 219134: - e_mekooh - Emissions of ch3coch(ooh)ch3 219135: - e_apip - Emissions of peroxy radical from a-pinene cyclic terpenes 219136: - e_mco3 - Emissions of ch2=c(ch3)co3 219137: - e_limp - Emissions of peroxy radical from d-limonene cyclic diene 219138: - e_mvk - Emissions of methylvinylketone 219139: - e_pho - Emissions of phenoxy radical 219140: - e_tolp - Emissions of peroxy radical from toluene and less reactive aromatics 219141: - e_macro2 - Emissions of ch3c(o)ch(oo)ch2oh 219142: - e_xylp - Emissions of peroxy radical from xylene and more reactive aromatics 219143: - e_macrooh - Emissions of h3c(o)ch(ooh)ch2oh 219144: - e_cslp - Emissions of peroxy radical from cresol 219145: - e_mpan - Emissions of unsaturated pans 219146: - e_tco3_c - Emissions of unsaturated acyl peroxy radical 219147: - e_ketp - Emissions of peroxy radical from ketones 219148: - e_alko2 - Emissions of c5h11o2 219149: - e_olnn - Emissions of no3-alkenes adduct reacting to form carbonitrates 219150: - e_alkooh - Emissions of c5h11ooh 219151: - e_olnd - Emissions of no3-alkenes adduct reacting via decomposition 219152: - e_bigald - Emissions of hoch2c(ch3)=chcho 219153: - e_hydrald - Emissions of c5h6o2 219154: - e_sulf - Emissions of trop sulfuric acid 219155: - e_ox - Emissions of oxides 219156: - e_isopno3 - Emissions of ch2chc(ch3)(oo)ch2ono2 219157: - e_onitr - Emissions of c3 organic nitrate 219158: - e_clox - Emissions of chlorine oxides 219159: - e_brox - Emissions of bromine oxides 219160: - e_xooh - Emissions of hoch2c(ooh)(ch3)chchoh 219161: - e_isopooh - Emissions of hoch2c(ooh)(ch3)ch=ch2 219162: - e_toluene - Emissions of lumped aromatics 219163: - e_dmso - Emissions of dimethyl sulfoxyde 219164: - e_tolo2 - Emissions of c7h9o5 219165: - e_tolooh - Emissions of c7h10o5 219166: - e_h2s - Emissions of hydrogensulfide 219167: - e_xoh - Emissions of c7h10o6 219168: - e_noy - Emissions of all nitrogen oxides 219169: - e_cly - Emissions of chlorine family 219170: - e_terpo2 - Emissions of c10h16(oh)(oo) 219171: - e_bry - Emissions of bromine family 219172: - e_terpooh - Emissions of c10h18o3 219173: - e_n - Emissions of nitrogen atom 219174: - e_clo - Emissions of chlorine monoxide 219175: - e_cl_c - Emissions of chlorine atom 219176: - e_bro - Emissions of bromine monoxide 219177: - e_h_c - Emissions of hydrogen atom 219178: - e_ch3 - Emissions of methyl group 219179: - e_addt - Emissions of aromatic-ho from toluene and less reactive aromatics 219180: - e_addx - Emissions of aromatic-ho from xylene and more reactive aromatics 219181: - e_nh4no3 - Emissions of ammonium nitrate 219182: - e_addc - Emissions of aromatic-ho from csl 219183: - e_soa1 - Emissions of secondary organic aerosol type 1 219184: - e_soa2a - Emissions of secondary organic aerosol type 2a 219185: - e_soa2b - Emissions of secondary organic aerosol type 2b 219186: - e_sog1 - Emissions of condensable gas type 1 219187: - e_sog2a - Emissions of condensable gas type 2a 219188: - e_sog2b - Emissions of condensable gas type 2b 219189: - e_so3 - Emissions of sulfur trioxide 219190: - e_ocs_c - Emissions of carbonyl sulfide 219191: - e_br - Emissions of bromine atom 219192: - e_br2 - Emissions of bromine 219193: - e_brcl - Emissions of bromine monochloride 219194: - e_brono2 - Emissions of bromine nitrate 219195: - e_ch2br2 - Emissions of dibromomethane 219196: - e_ch3o - Emissions of methoxy radical 219197: - e_chbr3 - Emissions of tribromomethane 219198: - e_cloo - Emissions of asymmetric chlorine dioxide radical 219199: - e_h2 - Emissions of hydrogen 219200: - e_hcl - Emissions of hydrogen chloride 219201: - e_hco - Emissions of formyl radical 219202: - e_hf - Emissions of hydrogen fluoride 219203: - e_o - Emissions of oxygen atom 219204: - e_o1d - Emissions of excited oxygen atom 219205: - e_o3p - Emissions of ground state oxygen atom 219206: - e_strataer - Emissions of stratospheric aerosol 219207: - parfire - Wildfire flux of paraffins 219208: - olefire - Wildfire flux of olefines 219209: - ald2fire - Wildfire flux of aldehydes 219210: - ketfire - Wildfire flux of ketones 219211: - apifire - Wildfire flux of f a-pinene cyclic terpenes 219212: - tolfire - Wildfire flux of toluene less reactive aromatics 219213: - xylfire - Wildfire flux of xylene more reactive aromatics 219214: - limfire - Wildfire flux of d-limonene cyclic diene 219215: - oltfire - Wildfire flux of terminal alkenes 219216: - hc3fire - Wildfire flux of alkanes low oh rate 219217: - hc5fire - Wildfire flux of alkanes med oh rate 219218: - hc8fire - Wildfire flux of alkanes high oh rate 219219: - hcnfire - Wildfire flux of hydrogen cyanide 219220: - ch3cnfire - Wildfire flux of acetonitrile 219221: - e_vso2 - Atmosphere emission mass flux of Volcanic sulfur dioxide 219222: - e_aroo2 - Atmosphere emission mass flux of Aromatic peroxy radical 219223: - e_c2h2 - Atmosphere emission mass flux of Ethyne 219224: - e_ch3cn - Atmosphere emission mass flux of Acetonitrile 219225: - e_ch3o2no2 - Atmosphere emission mass flux of Methyl peroxy nitrate 219226: - e_hcn - Atmosphere emission mass flux of Hydrogen cyanide 219227: - e_hpald1 - Atmosphere emission mass flux of Hydroperoxy aldehydes type 1 219228: - e_hpald2 - Atmosphere emission mass flux of Hydroperoxy aldehydes type 2 219229: - e_isopbo2 - Atmosphere emission mass flux of Isoprene peroxy type B 219230: - e_isopdo2 - Atmosphere emission mass flux of Isoprene peroxy type D 219231: - e_voca - Atmosphere emission mass flux of Anthropogenic volatile organic compounds 219232: - e_vocbb - Atmosphere emission mass flux of Biomass burning volatile organic compounds 220228: - tpoc - Total precipitation observation count 221001: - dv_go3 - Ozone deposition velocity 221002: - dv_nox - Nitrogen oxides deposition velocity 221003: - dv_h2o2 - Hydrogen peroxide deposition velocity 221004: - dv_ch4 - Methane deposition velocity 221005: - dv_co - Carbon monoxide deposition velocity 221006: - dv_hno3 - Nitric acid deposition velocity 221007: - dv_ch3ooh - Methyl peroxide deposition velocity 221008: - dv_hcho - Formaldehyde deposition velocity 221009: - dv_par - Paraffins deposition velocity 221010: - dv_c2h4 - Ethene deposition velocity 221011: - dv_ole - Olefins deposition velocity 221012: - dv_ald2 - Aldehydes deposition velocity 221013: - dv_pan - Peroxyacetyl nitrate deposition velocity 221014: - dv_rooh - Peroxides deposition velocity 221015: - dv_onit - Organic nitrates deposition velocity 221016: - dv_c5h8 - Isoprene deposition velocity 221017: - dv_so2 - Sulfur dioxide deposition velocity 221018: - dv_dms - Dimethyl sulfide deposition velocity 221019: - dv_nh3 - Ammonia deposition velocity 221020: - dv_so4 - Sulfate deposition velocity 221021: - dv_nh4 - Ammonium deposition velocity 221022: - dv_msa - Methane sulfonic acid deposition velocity 221023: - dv_ch3cocho - Methyl glyoxal deposition velocity 221024: - dv_o3s - Stratospheric ozone deposition velocity 221025: - dv_ra - Radon deposition velocity 221026: - dv_pb - Lead deposition velocity 221027: - dv_no - Nitrogen monoxide deposition velocity 221028: - dv_ho2 - Hydroperoxy radical deposition velocity 221029: - dv_ch3o2 - Methylperoxy radical deposition velocity 221030: - dv_oh - Hydroxyl radical deposition velocity 221031: - dv_no2 - Nitrogen dioxide deposition velocity 221032: - dv_no3 - Nitrate radical deposition velocity 221033: - dv_n2o5 - Dinitrogen pentoxide deposition velocity 221034: - dv_ho2no2 - Pernitric acid deposition velocity 221035: - dv_c2o3 - Peroxy acetyl radical deposition velocity 221036: - dv_ror - Organic ethers deposition velocity 221037: - dv_rxpar - PAR budget corrector deposition velocity 221038: - dv_xo2 - NO to NO2 operator deposition velocity 221039: - dv_xo2n - NO to alkyl nitrate operator deposition velocity 221040: - dv_nh2 - Amine deposition velocity 221041: - dv_psc - Polar stratospheric cloud deposition velocity 221042: - dv_ch3oh - Methanol deposition velocity 221043: - dv_hcooh - Formic acid deposition velocity 221044: - dv_mcooh - Methacrylic acid deposition velocity 221045: - dv_c2h6 - Ethane deposition velocity 221046: - dv_c2h5oh - Ethanol deposition velocity 221047: - dv_c3h8 - Propane deposition velocity 221048: - dv_c3h6 - Propene deposition velocity 221049: - dv_c10h16 - Terpenes deposition velocity 221050: - dv_ispd - Methacrolein MVK deposition velocity 221051: - dv_no3_a - Nitrate deposition velocity 221052: - dv_ch3coch3 - Acetone deposition velocity 221053: - dv_aco2 - Acetone product deposition velocity 221054: - dv_ic3h7o2 - IC3H7O2 deposition velocity 221055: - dv_hypropo2 - HYPROPO2 deposition velocity 221056: - dv_noxa - Nitrogen oxides Transp deposition velocity 221057: - dv_co2_c - Dry deposition velocity of carbon dioxide (chemistry) 221058: - dv_n2o_c - Dry deposition velocity of nitrous oxide (chemistry) 221059: - dv_h2o - Dry deposition velocity of water vapour (chemistry) 221060: - dv_o2 - Dry deposition velocity of oxygen 221061: - dv_o2_1s - Dry deposition velocity of singlet oxygen 221062: - dv_o2_1d - Dry deposition velocity of singlet delta oxygen 221063: - dv_oclo - Dry deposition velocity of chlorine dioxide 221064: - dv_clono2 - Dry deposition velocity of chlorine nitrate 221065: - dv_hocl - Dry deposition velocity of hypochlorous acid 221066: - dv_cl2 - Dry deposition velocity of chlorine 221067: - dv_clno2 - Dry deposition velocity of nitryl chloride 221068: - dv_hbr - Dry deposition velocity of hydrogen bromide 221069: - dv_cl2o2 - Dry deposition velocity of dichlorine dioxide 221070: - dv_hobr - Dry deposition velocity of hypobromous acid 221071: - dv_cfc11 - Dry deposition velocity of trichlorofluoromethane 221072: - dv_cfc12 - Dry deposition velocity of dichlorodifluoromethane 221073: - dv_cfc113 - Dry deposition velocity of trichlorotrifluoroethane 221074: - dv_cfc114 - Dry deposition velocity of dichlorotetrafluoroethane 221075: - dv_cfc115 - Dry deposition velocity of chloropentafluoroethane 221076: - dv_ccl4 - Dry deposition velocity of tetrachloromethane 221077: - dv_ch3ccl3 - Dry deposition velocity of methyl chloroform 221078: - dv_ch3cl - Dry deposition velocity of methyl chloride 221079: - dv_hcfc22 - Dry deposition velocity of chlorodifluoromethane 221080: - dv_ch3br - Dry deposition velocity of methyl bromide 221081: - dv_ha1202 - Dry deposition velocity of dibromodifluoromethane 221082: - dv_ha1211 - Dry deposition velocity of bromochlorodifluoromethane 221083: - dv_ha1301 - Dry deposition velocity of trifluorobromomethane 221084: - dv_ha2402 - Dry deposition velocity of cbrf2cbrf2 221085: - dv_h2so4 - Dry deposition velocity of sulfuric acid 221086: - dv_hono - Dry deposition velocity of nitrous acid 221087: - dv_hc3 - Dry deposition velocity of alkanes low oh rate 221088: - dv_hc5 - Dry deposition velocity of alkanes med oh rate 221089: - dv_hc8 - Dry deposition velocity of alkanes high oh rate 221090: - dv_olt - Dry deposition velocity of terminal alkenes 221091: - dv_oli - Dry deposition velocity of internal alkenes 221092: - dv_c2h5o2 - Dry deposition velocity of ethylperoxy radical 221093: - dv_dien - Dry deposition velocity of butadiene 221094: - dv_c2h5ooh - Dry deposition velocity of ethyl hydroperoxide 221095: - dv_api - Dry deposition velocity of a-pinene cyclic terpenes 221096: - dv_ch3cooh - Dry deposition velocity of acetic acid 221097: - dv_lim - Dry deposition velocity of d-limonene cyclic diene 221098: - dv_ch3cho - Dry deposition velocity of acetaldehyde 221099: - dv_tol - Dry deposition velocity of toluene and less reactive aromatics 221100: - dv_xyl - Dry deposition velocity of xylene and more reactive aromatics 221101: - dv_glyald - Dry deposition velocity of glycolaldehyde 221102: - dv_cresol - Dry deposition velocity of cresol 221103: - dv_ald - Dry deposition velocity of acetaldehyde and higher 221104: - dv_ch3coooh - Dry deposition velocity of peracetic acid 221105: - dv_ket - Dry deposition velocity of ketones 221106: - dv_eo2 - Dry deposition velocity of hoch2ch2o2 221107: - dv_glyoxal - Dry deposition velocity of glyoxal 221108: - dv_eo - Dry deposition velocity of hoch2ch2o 221109: - dv_dcb - Dry deposition velocity of unsaturated dicarbonyls 221110: - dv_macr - Dry deposition velocity of methacrolein 221111: - dv_udd - Dry deposition velocity of unsaturated hydroxy dicarbonyl 221112: - dv_c3h7o2 - Dry deposition velocity of isopropyldioxidanyl 221113: - dv_hket - Dry deposition velocity of hydroxy ketone 221114: - dv_c3h7ooh - Dry deposition velocity of isopropyl hydroperoxide 221115: - dv_po2 - Dry deposition velocity of c3h6oho2 221116: - dv_pooh - Dry deposition velocity of c3h6ohooh 221117: - dv_op2 - Dry deposition velocity of higher organic peroxides 221118: - dv_hyac - Dry deposition velocity of hydroxyacetone 221119: - dv_paa - Dry deposition velocity of peroxyacetic acid 221120: - dv_ro2 - Dry deposition velocity of ch3coch2o2 221121: - dv_ethp - Dry deposition velocity of peroxy radical from c2h6 221122: - dv_hc3p - Dry deposition velocity of peroxy radical from hc3 221123: - dv_hc5p - Dry deposition velocity of peroxy radical from hc5 221124: - dv_bigene - Dry deposition velocity of lumped alkenes 221125: - dv_hc8p - Dry deposition velocity of peroxy radical from hc8 221126: - dv_bigalk - Dry deposition velocity of lumped alkanes 221127: - dv_etep - Dry deposition velocity of peroxy radical from c2h4 221128: - dv_mek - Dry deposition velocity of c4h8o 221129: - dv_oltp - Dry deposition velocity of peroxy radical from terminal alkenes 221130: - dv_eneo2 - Dry deposition velocity of c4h9o3 221131: - dv_olip - Dry deposition velocity of peroxy radical from internal alkenes 221132: - dv_meko2 - Dry deposition velocity of ch3coch(oo)ch3 221133: - dv_isopo2 - Dry deposition velocity of peroxy radical from c5h8 221134: - dv_mekooh - Dry deposition velocity of ch3coch(ooh)ch3 221135: - dv_apip - Dry deposition velocity of peroxy radical from a-pinene cyclic terpenes 221136: - dv_mco3 - Dry deposition velocity of ch2=c(ch3)co3 221137: - dv_limp - Dry deposition velocity of peroxy radical from d-limonene cyclic diene 221138: - dv_mvk - Dry deposition velocity of methylvinylketone 221139: - dv_pho - Dry deposition velocity of phenoxy radical 221140: - dv_tolp - Dry deposition velocity of peroxy radical from toluene and less reactive aromatics 221141: - dv_macro2 - Dry deposition velocity of ch3c(o)ch(oo)ch2oh 221142: - dv_xylp - Dry deposition velocity of peroxy radical from xylene and more reactive aromatics 221143: - dv_macrooh - Dry deposition velocity of h3c(o)ch(ooh)ch2oh 221144: - dv_cslp - Dry deposition velocity of peroxy radical from cresol 221145: - dv_mpan - Dry deposition velocity of unsaturated pans 221146: - dv_tco3_c - Dry deposition velocity of unsaturated acyl peroxy radical 221147: - dv_ketp - Dry deposition velocity of peroxy radical from ketones 221148: - dv_alko2 - Dry deposition velocity of c5h11o2 221149: - dv_olnn - Dry deposition velocity of no3-alkenes adduct reacting to form carbonitrates 221150: - dv_alkooh - Dry deposition velocity of c5h11ooh 221151: - dv_olnd - Dry deposition velocity of no3-alkenes adduct reacting via decomposition 221152: - dv_bigald - Dry deposition velocity of hoch2c(ch3)=chcho 221153: - dv_hydrald - Dry deposition velocity of c5h6o2 221154: - dv_sulf - Dry deposition velocity of trop sulfuric acid 221155: - dv_ox - Dry deposition velocity of oxides 221156: - dv_isopno3 - Dry deposition velocity of ch2chc(ch3)(oo)ch2ono2 221157: - dv_onitr - Dry deposition velocity of c3 organic nitrate 221158: - dv_clox - Dry deposition velocity of chlorine oxides 221159: - dv_brox - Dry deposition velocity of bromine oxides 221160: - dv_xooh - Dry deposition velocity of hoch2c(ooh)(ch3)chchoh 221161: - dv_isopooh - Dry deposition velocity of hoch2c(ooh)(ch3)ch=ch2 221162: - dv_toluene - Dry deposition velocity of lumped aromatics 221163: - dv_dmso - Dry deposition velocity of dimethyl sulfoxyde 221164: - dv_tolo2 - Dry deposition velocity of c7h9o5 221165: - dv_tolooh - Dry deposition velocity of c7h10o5 221166: - dv_h2s - Dry deposition velocity of hydrogensulfide 221167: - dv_xoh - Dry deposition velocity of c7h10o6 221168: - dv_noy - Dry deposition velocity of all nitrogen oxides 221169: - dv_cly - Dry deposition velocity of chlorine family 221170: - dv_terpo2 - Dry deposition velocity of c10h16(oh)(oo) 221171: - dv_bry - Dry deposition velocity of bromine family 221172: - dv_terpooh - Dry deposition velocity of c10h18o3 221173: - dv_n - Dry deposition velocity of nitrogen atom 221174: - dv_clo - Dry deposition velocity of chlorine monoxide 221175: - dv_cl_c - Dry deposition velocity of chlorine atom 221176: - dv_bro - Dry deposition velocity of bromine monoxide 221177: - dv_h_c - Dry deposition velocity of hydrogen atom 221178: - dv_ch3 - Dry deposition velocity of methyl group 221179: - dv_addt - Dry deposition velocity of aromatic-ho from toluene and less reactive aromatics 221180: - dv_addx - Dry deposition velocity of aromatic-ho from xylene and more reactive aromatics 221181: - dv_nh4no3 - Dry deposition velocity of ammonium nitrate 221182: - dv_addc - Dry deposition velocity of aromatic-ho from csl 221183: - dv_soa1 - Dry deposition velocity of secondary organic aerosol type 1 221184: - dv_soa2a - Dry deposition velocity of secondary organic aerosol type 2a 221185: - dv_soa2b - Dry deposition velocity of secondary organic aerosol type 2b 221186: - dv_sog1 - Dry deposition velocity of condensable gas type 1 221187: - dv_sog2a - Dry deposition velocity of condensable gas type 2a 221188: - dv_sog2b - Dry deposition velocity of condensable gas type 2b 221189: - dv_so3 - Dry deposition velocity of sulfur trioxide 221190: - dv_ocs_c - Dry deposition velocity of carbonyl sulfide 221191: - dv_br - Dry deposition velocity of bromine atom 221192: - dv_br2 - Dry deposition velocity of bromine 221193: - dv_brcl - Dry deposition velocity of bromine monochloride 221194: - dv_brono2 - Dry deposition velocity of bromine nitrate 221195: - dv_ch2br2 - Dry deposition velocity of dibromomethane 221196: - dv_ch3o - Dry deposition velocity of methoxy radical 221197: - dv_chbr3 - Dry deposition velocity of tribromomethane 221198: - dv_cloo - Dry deposition velocity of asymmetric chlorine dioxide radical 221199: - dv_h2 - Dry deposition velocity of hydrogen 221200: - dv_hcl - Dry deposition velocity of hydrogen chloride 221201: - dv_hco - Dry deposition velocity of formyl radical 221202: - dv_hf - Dry deposition velocity of hydrogen fluoride 221203: - dv_o - Dry deposition velocity of oxygen atom 221204: - dv_o1d - Dry deposition velocity of excited oxygen atom 221205: - dv_o3p - Dry deposition velocity of ground state oxygen atom 221206: - dv_strataer - Dry deposition velocity of stratospheric aerosol 221221: - dv_vso2 - Dry deposition velocity of Volcanic sulfur dioxide 221222: - dv_aroo2 - Dry deposition velocity of Aromatic peroxy radical 221223: - dv_c2h2 - Dry deposition velocity of Ethyne 221224: - dv_ch3cn - Dry deposition velocity of Acetonitrile 221225: - dv_ch3o2no2 - Dry deposition velocity of Methyl peroxy nitrate 221226: - dv_hcn - Dry deposition velocity of Hydrogen cyanide 221227: - dv_hpald1 - Dry deposition velocity of Hydroperoxy aldehydes type 1 221228: - dv_hpald2 - Dry deposition velocity of Hydroperoxy aldehydes type 2 221229: - dv_isopbo2 - Dry deposition velocity of Isoprene peroxy type B 221230: - dv_isopdo2 - Dry deposition velocity of Isoprene peroxy type D 221231: - dv_voca - Dry deposition velocity of Anthropogenic volatile organic compounds 221232: - dv_vocbb - Dry deposition velocity of Biomass burning volatile organic compounds 222001: - acc_dry_depm_o3 - Time-integrated dry deposition mass flux of Ozone 222003: - acc_dry_depm_h2o2 - Time-integrated dry deposition mass flux of Hydrogen peroxide 222005: - acc_dry_depm_co - Time-integrated dry deposition mass flux of Carbon monoxide 222006: - acc_dry_depm_hno3 - Time-integrated dry deposition mass flux of Nitric acid 222007: - acc_dry_depm_ch3ooh - Time-integrated dry deposition mass flux of Methyl peroxide 222008: - acc_dry_depm_hcho - Time-integrated dry deposition mass flux of Formaldehyde 222012: - acc_dry_depm_ald2 - Time-integrated dry deposition mass flux of Aldehydes 222013: - acc_dry_depm_pan - Time-integrated dry deposition mass flux of Peroxyacetyl nitrate 222014: - acc_dry_depm_rooh - Time-integrated dry deposition mass flux of Peroxides 222015: - acc_dry_depm_onit - Time-integrated dry deposition mass flux of Organic nitrates 222016: - acc_dry_depm_c5h8 - Time-integrated dry deposition mass flux of Isoprene 222017: - acc_dry_depm_so2 - Time-integrated dry deposition mass flux of Sulphur dioxide 222019: - acc_dry_depm_nh3 - Time-integrated dry deposition mass flux of Ammonia 222020: - acc_dry_depm_so4 - Time-integrated dry deposition mass flux of Sulfate 222021: - acc_dry_depm_nh4 - Time-integrated dry deposition mass flux of Ammonium 222023: - acc_dry_depm_ch3cocho - Time-integrated dry deposition mass flux of Methyl glyoxal 222024: - acc_dry_depm_o3s - Time-integrated dry deposition mass flux of Ozone (stratospheric) 222027: - acc_dry_depm_no - Time-integrated dry deposition mass flux of Nitrogen monoxide 222028: - acc_dry_depm_ho2 - Time-integrated dry deposition mass flux of Hydroperoxy radical 222029: - acc_dry_depm_ch3o2 - Time-integrated dry deposition mass flux of Methylperoxy radical 222031: - acc_dry_depm_no2 - Time-integrated dry deposition mass flux of Nitrogen dioxide 222032: - acc_dry_depm_no3 - Time-integrated dry deposition mass flux of Nitrate radical 222033: - acc_dry_depm_n2o5 - Time-integrated dry deposition mass flux of Dinitrogen pentoxide 222034: - acc_dry_depm_ho2no2 - Time-integrated dry deposition mass flux of Pernitric acid 222042: - acc_dry_depm_ch3oh - Time-integrated dry deposition mass flux of Methanol 222043: - acc_dry_depm_hcooh - Time-integrated dry deposition mass flux of Formic acid 222044: - acc_dry_depm_mcooh - Time-integrated dry deposition mass flux of Methacrylic acid 222045: - acc_dry_depm_c2h6 - Time-integrated dry deposition mass flux of Ethane 222046: - acc_dry_depm_c2h5oh - Time-integrated dry deposition mass flux of Ethanol 222050: - acc_dry_depm_ispd - Time-integrated dry deposition mass flux of Methacrolein 222051: - acc_dry_depm_no3_a - Time-integrated dry deposition mass flux of Nitrate 222052: - acc_dry_depm_ch3coch3 - Time-integrated dry deposition mass flux of Acetone 222086: - acc_dry_depm_hono - Time-integrated dry deposition mass flux of Nitrous acid 222099: - acc_dry_depm_tol - Time-integrated dry deposition mass flux of Toluene and less reactive aromatics 222100: - acc_dry_depm_xyl - Time-integrated dry deposition mass flux of Xylene and more reactive aromatics 222101: - acc_dry_depm_glyald - Time-integrated dry deposition mass flux of Glycolaldehyde 222107: - acc_dry_depm_gly - Time-integrated dry deposition mass flux of Glyoxal 222118: - acc_dry_depm_hyac - Time-integrated dry deposition mass flux of Hydroxyacetone 222161: - acc_dry_depm_isopooh - Time-integrated dry deposition mass flux of all hydroxy-peroxides products of the reaction of hydroxy-isoprene adducts with O2 222224: - acc_dry_depm_ch3cn - Time-integrated dry deposition mass flux of Acetonitrile 222226: - acc_dry_depm_hcn - Time-integrated dry deposition mass flux of Hydrogen cyanide 223001: - acc_wet_depm_o3 - Time-integrated wet deposition mass flux of Ozone 223003: - acc_wet_depm_h2o2 - Time-integrated wet deposition mass flux of Hydrogen peroxide 223006: - acc_wet_depm_hno3 - Time-integrated wet deposition mass flux of Nitric acid 223007: - acc_wet_depm_ch3ooh - Time-integrated wet deposition mass flux of Methyl peroxide 223008: - acc_wet_depm_hcho - Time-integrated wet deposition mass flux of Formaldehyde 223012: - acc_wet_depm_ald2 - Time-integrated wet deposition mass flux of Aldehydes 223013: - acc_wet_depm_pan - Time-integrated wet deposition mass flux of Peroxyacetyl nitrate 223014: - acc_wet_depm_rooh - Time-integrated wet deposition mass flux of Peroxides 223015: - acc_wet_depm_onit - Time-integrated wet deposition mass flux of Organic nitrates 223016: - acc_wet_depm_c5h8 - Time-integrated wet deposition mass flux of Isoprene 223017: - acc_wet_depm_so2 - Time-integrated wet deposition mass flux of Sulphur dioxide 223019: - acc_wet_depm_nh3 - Time-integrated wet deposition mass flux of Ammonia 223020: - acc_wet_depm_so4 - Time-integrated wet deposition mass flux of Sulfate 223021: - acc_wet_depm_nh4 - Time-integrated wet deposition mass flux of Ammonium 223022: - acc_wet_depm_msa - Time-integrated wet deposition mass flux of Methane sulfonic acid 223023: - acc_wet_depm_ch3cocho - Time-integrated wet deposition mass flux of Methyl glyoxal 223025: - acc_wet_depm_co - Time-integrated wet deposition mass flux of Carbon monoxide 223026: - acc_wet_depm_pb - Time-integrated wet deposition mass flux of Lead 223027: - acc_wet_depm_no - Time-integrated wet deposition mass flux of Nitrogen monoxide 223028: - acc_wet_depm_ho2 - Time-integrated wet deposition mass flux of Hydroperoxy radical 223029: - acc_wet_depm_ch3o2 - Time-integrated wet deposition mass flux of Methylperoxy radical 223031: - acc_wet_depm_no2 - Time-integrated wet deposition mass flux of Nitrogen dioxide 223032: - acc_wet_depm_no3 - Time-integrated wet deposition mass flux of Nitrate radical 223033: - acc_wet_depm_n2o5 - Time-integrated wet deposition mass flux of Dinitrogen pentoxide 223034: - acc_wet_depm_ho2no2 - Time-integrated wet deposition mass flux of Pernitric acid 223042: - acc_wet_depm_ch3oh - Time-integrated wet deposition mass flux of Methanol 223043: - acc_wet_depm_hcooh - Time-integrated wet deposition mass flux of Formic acid 223044: - acc_wet_depm_mcooh - Time-integrated wet deposition mass flux of Methacrylic acid 223045: - acc_wet_depm_c2h6 - Time-integrated wet deposition mass flux of Ethane 223046: - acc_wet_depm_c2h5oh - Time-integrated wet deposition mass flux of Ethanol 223050: - acc_wet_depm_ispd - Time-integrated wet deposition mass flux of Methacrolein 223051: - acc_wet_depm_no3_a - Time-integrated wet deposition mass flux of Nitrate 223052: - acc_wet_depm_ch3coch3 - Time-integrated wet deposition mass flux of Acetone 223064: - acc_wet_depm_clono2 - Time-integrated wet deposition mass flux of Chlorine nitrate 223065: - acc_wet_depm_hocl - Time-integrated wet deposition mass flux of Hypochlorous acid 223068: - acc_wet_depm_hbr - Time-integrated wet deposition mass flux of Hydrogen bromide 223070: - acc_wet_depm_hobr - Time-integrated wet deposition mass flux of Hypobromous acid 223086: - acc_wet_depm_hono - Time-integrated wet deposition mass flux of Nitrous acid 223099: - acc_wet_depm_tol - Time-integrated wet deposition mass flux of Toluene and less reactive aromatics 223100: - acc_wet_depm_xyl - Time-integrated wet deposition mass flux of Xylene and more reactive aromatics 223101: - acc_wet_depm_glyald - Time-integrated wet deposition mass flux of Glycolaldehyde 223107: - acc_wet_depm_gly - Time-integrated wet deposition mass flux of Glyoxal 223118: - acc_wet_depm_hyac - Time-integrated wet deposition mass flux of Hydroxyacetone 223161: - acc_wet_depm_isopooh - Time-integrated wet deposition mass flux of all hydroxy-peroxides products of the reaction of hydroxy-isoprene adducts with O2 223186: - acc_wet_depm_sog1 - Time-integrated wet deposition mass flux of Condensable gas type 1 223187: - acc_wet_depm_sog2a - Time-integrated wet deposition mass flux of Condensable gas type 2a 223188: - acc_wet_depm_sog2b - Time-integrated wet deposition mass flux of Condensable gas type 2b 223194: - acc_wet_depm_brono2 - Time-integrated wet deposition mass flux of Bromine nitrate 223200: - acc_wet_depm_hcl - Time-integrated wet deposition mass flux of Hydrogen chloride 223224: - acc_wet_depm_ch3cn - Time-integrated wet deposition mass flux of Acetonitrile 223226: - acc_wet_depm_hcn - Time-integrated wet deposition mass flux of Hydrogen cyanide 223227: - acc_wet_depm_hpald1 - Time-integrated wet deposition mass flux of Hydroperoxy aldehydes type 1 223228: - acc_wet_depm_hpald2 - Time-integrated wet deposition mass flux of Hydroperoxy aldehydes type 2 228001: - cin - Convective inhibition 228002: - orog - Orography 228003: - zust - Friction velocity 228004: - avg_2t - Time-mean 2 metre temperature 228005: - avg_10ws - Time-mean 10 metre wind speed 228006: - meantcc - Mean total cloud cover 228007: - dl - Lake total depth 228008: - lmlt - Lake mix-layer temperature 228009: - lmld - Lake mix-layer depth 228010: - lblt - Lake bottom temperature 228011: - ltlt - Lake total layer temperature 228012: - lshf - Lake shape factor 228013: - lict - Lake ice surface temperature 228014: - licd - Lake ice total depth 228015: - dndzn - Minimum vertical gradient of refractivity inside trapping layer 228016: - dndza - Mean vertical gradient of refractivity inside trapping layer 228017: - dctb - Duct base height 228018: - tplb - Trapping layer base height 228019: - tplt - Trapping layer top height 228020: - degm10l - Geometric height of -10 degrees C atmospheric isothermal level above ground 228021: - fdir - Surface direct short-wave (solar) radiation 228022: - cdir - Surface direct short-wave radiation, clear sky 228023: - cbh - Cloud base height 228024: - deg0l - Geometric height of 0 degrees C atmospheric isothermal level above ground - deg0 228025: - hvis - Horizontal visibility 228026: - mx2t3 - Maximum temperature at 2 metres in the last 3 hours 228027: - mn2t3 - Minimum temperature at 2 metres in the last 3 hours 228028: - 10fg3 - Maximum 10 metre wind gust in the last 3 hours 228029: - i10fg - Instantaneous 10 metre wind gust 228030: - rhw - Relative humidity with respect to water 228031: - rhi - Relative humidity with respect to ice 228032: - asn - Snow albedo 228034: - fcpc - Fraction of convective precipitation cover 228035: - mxcape6 - Maximum CAPE in the last 6 hours 228036: - mxcapes6 - Maximum CAPES in the last 6 hours 228037: - 2rhw - 2 metre relative humidity with respect to water 228038: - lwcs - Liquid water content in snow pack 228039: - sm - Soil moisture 228040: - swi1 - Soil wetness index in layer 1 228041: - swi2 - Soil wetness index in layer 2 228042: - swi3 - Soil wetness index in layer 3 228043: - swi4 - Soil wetness index in layer 4 228044: - capes - Convective available potential energy shear 228045: - trpp - Tropopause pressure 228046: - hcct - Height of convective cloud top 228047: - hwbt0 - Height of zero-degree wet-bulb temperature 228048: - hwbt1 - Height of one-degree wet-bulb temperature 228050: - litoti - Instantaneous total lightning flash density 228051: - litota1 - Averaged total lightning flash density in the last hour 228052: - licgi - Instantaneous cloud-to-ground lightning flash density 228053: - licga1 - Averaged cloud-to-ground lightning flash density in the last hour 228054: - ucq - Unbalanced component of specific humidity 228055: - ucclwc - Unbalanced component of specific cloud liquid water content 228056: - ucciwc - Unbalanced component of specific cloud ice water content 228057: - litota3 - Averaged total lightning flash density in the last 3 hours 228058: - litota6 - Averaged total lightning flash density in the last 6 hours 228059: - licga3 - Averaged cloud-to-ground lightning flash density in the last 3 hours 228060: - licga6 - Averaged cloud-to-ground lightning flash density in the last 6 hours 228070: - smnnob - SMOS observed soil moisture retrieved using neural network 228071: - smnner - SMOS observed soil moisture uncertainty retrieved using neural network 228072: - smnnrfi - SMOS radio frequency interference probability 228073: - smnnnb - SMOS number of observations per grid point 228074: - smnntim - SMOS observation time for the satellite soil moisture data 228078: - gppbfas - GPP coefficient from Biogenic Flux Adjustment System 228079: - recbfas - Rec coefficient from Biogenic Flux Adjustment System 228080: - aco2nee - Accumulated Carbon Dioxide Net Ecosystem Exchange 228081: - aco2gpp - Accumulated Carbon Dioxide Gross Primary Production 228082: - aco2rec - Accumulated Carbon Dioxide Ecosystem Respiration 228083: - fco2nee - Carbon dioxide net ecosystem exchange flux 228084: - fco2gpp - Carbon dioxide gross primary production flux 228085: - fco2rec - Carbon dioxide ecosystem respiration flux 228086: - sm20 - Soil moisture top 20 cm 228087: - sm100 - Soil moisture top 100 cm 228088: - tcslw - Total column supercooled liquid water 228089: - tcrw - Total column rain water 228090: - tcsw - Total column snow water 228091: - ccf - Canopy cover fraction 228092: - stf - Soil texture fraction 228093: - swv - Volumetric soil moisture 228094: - ist - Ice temperature 228095: - st20 - Soil temperature top 20 cm 228096: - st100 - Soil temperature top 100 cm 228100: - evatc - Evaporation from the top of canopy 228101: - evabs - Evaporation from bare soil 228102: - evaow - Evaporation from open water surfaces excluding oceans 228103: - evavt - Evaporation from vegetation transpiration 228104: - e_wlch4 - Atmosphere emission mass flux of Methane from Wetlands 228105: - sif740 - Solar induced Chlorophyll fluorescence at 740nm 228106: - sif755 - Solar induced Chlorophyll fluorescence at 755nm 228107: - sif771 - Solar induced Chlorophyll fluorescence at 771nm 228108: - sif757 - Solar induced Chlorophyll fluorescence at 757nm 228109: - acc_e_wlch4 - Accumulated mass emission of methane from Wetlands 228129: - ssrdc - Surface short-wave (solar) radiation downward clear-sky 228130: - strdc - Surface long-wave (thermal) radiation downward clear-sky 228131: - u10n - 10 metre u-component of neutral wind 228132: - v10n - 10 metre v-component of neutral wind 228134: - vtnowd - V-tendency from non-orographic wave drag 228136: - utnowd - U-tendency from non-orographic wave drag 228139: - st - Soil temperature 228141: - sd - Snow depth water equivalent 228143: - cp - Convective precipitation 228144: - sf - Snowfall water equivalent 228164: - tcc - Total Cloud Cover 228170: - cap - Field capacity 228171: - wilt - Wilting point 228205: - ro - Water runoff and drainage 228216: - fzra - Accumulated freezing rain 228217: - ilspf - Instantaneous large-scale precipitation fraction 228218: - crr - Convective rain rate 228219: - lsrr - Large scale rain rate 228220: - csfr - Convective snowfall rate water equivalent 228221: - lssfr - Large scale snowfall rate water equivalent 228222: - mxtpr3 - Maximum total precipitation rate in the last 3 hours 228223: - mntpr3 - Minimum total precipitation rate in the last 3 hours 228224: - mxtpr6 - Maximum total precipitation rate in the last 6 hours 228225: - mntpr6 - Minimum total precipitation rate in the last 6 hours 228226: - mxtpr - Maximum total precipitation rate since previous post-processing 228227: - mntpr - Minimum total precipitation rate since previous post-processing 228228: - tp - Total Precipitation 228229: - smos_tb_cdfa - SMOS first Brightness Temperature Bias Correction parameter 228230: - smos_tb_cdfb - SMOS second Brightness Temperature Bias Correction parameter 228231: - mlcape50 - Mixed-layer CAPE in the lowest 50 hPa 228232: - mlcin50 - Mixed-layer CIN in the lowest 50 hPa 228233: - mlcape100 - Mixed-layer CAPE in the lowest 100 hPa 228234: - mlcin100 - Mixed-layer CIN in the lowest 100 hPa 228235: - mucape - Most-unstable CAPE 228236: - mucin - Most-unstable CIN 228237: - mudlp - Departure level of the most unstable parcel expressed as Pressure 228239: - 200u - 200 metre U wind component 228240: - 200v - 200 metre V wind component 228241: - 200si - 200 metre wind speed 228242: - fdif - Surface solar radiation diffuse total sky 228243: - cdif - Surface solar radiation diffuse clear-sky 228244: - aldr - Surface albedo of direct radiation 228245: - aldf - Surface albedo of diffuse radiation 228246: - 100u - 100 metre U wind component 228247: - 100v - 100 metre V wind component 228248: - tccsw - Surface short wave-effective total cloudiness 228249: - 100si - 100 metre wind speed 228250: - irrfr - Irrigation fraction 228251: - pev - Potential evaporation 228252: - irr - Irrigation 228253: - ascat_sm_cdfa - ASCAT first soil moisture CDF matching parameter 228254: - ascat_sm_cdfb - ASCAT second soil moisture CDF matching parameter 228255: - tcclw - Surface long wave-effective total cloudiness 229001: - cur - Urban cover 229002: - cro - Road Cover 229003: - cbu - Building cover 229004: - bldh - Building height 229005: - hwr - Vertical-to-horizontal area ratio 229006: - bhstd - Standard deviation of building height 229007: - cwe - Wetland cover 229008: - twe - Wetland type 229009: - cirr - Irrigation cover 229010: - c4cr - C4 crop cover 229011: - c4gr - C4 grass cover 230008: - srovar - Surface runoff (variable resolution) 230009: - ssrovar - Sub-surface runoff (variable resolution) 230020: - parcsvar - Clear sky surface photosynthetically active radiation (variable resolution) 230021: - fdirvar - Total sky direct solar radiation at surface (variable resolution) 230022: - cdirvar - Clear-sky direct solar radiation at surface (variable resolution) 230044: - esvar - Snow evaporation (variable resolution) 230045: - smltvar - Snowmelt (variable resolution) 230046: - sdurvar - Solar duration (variable resolution) 230047: - dsrpvar - Direct solar radiation (variable resolution) 230050: - lspfvar - Large-scale precipitation fraction (variable resolution) 230057: - uvbvar - Downward UV radiation at the surface (variable resolution) 230058: - parvar - Photosynthetically active radiation at the surface (variable resolution) 230080: - aco2neevar - Accumulated Carbon Dioxide Net Ecosystem Exchange (variable resolution) 230081: - aco2gppvar - Accumulated Carbon Dioxide Gross Primary Production (variable resolution) 230082: - aco2recvar - Accumulated Carbon Dioxide Ecosystem Respiration (variable resolution) 230129: - ssrdcvar - Surface solar radiation downward clear-sky (variable resolution) 230130: - strdcvar - Surface thermal radiation downward clear-sky (variable resolution) 230142: - lspvar - Stratiform precipitation (Large-scale precipitation) (variable resolution) 230143: - cpvar - Convective precipitation (variable resolution) 230144: - sfvar - Snowfall (convective + stratiform) (variable resolution) 230145: - bldvar - Boundary layer dissipation (variable resolution) 230146: - sshfvar - Surface sensible heat flux (variable resolution) 230147: - slhfvar - Surface latent heat flux (variable resolution) 230169: - ssrdvar - Surface solar radiation downwards (variable resolution) 230174: - alvar - Albedo (variable resolution) 230175: - strdvar - Surface thermal radiation downwards (variable resolution) 230176: - ssrvar - Surface net solar radiation (variable resolution) 230177: - strvar - Surface net thermal radiation (variable resolution) 230178: - tsrvar - Top net solar radiation (variable resolution) 230179: - ttrvar - Top net thermal radiation (variable resolution) 230180: - ewssvar - East-West surface stress (variable resolution) 230181: - nsssvar - North-South surface stress (variable resolution) 230182: - evar - Evaporation (variable resolution) 230189: - sundvar - Sunshine duration (variable resolution) 230195: - lgwsvar - Longitudinal component of gravity wave stress (variable resolution) 230196: - mgwsvar - Meridional component of gravity wave stress (variable resolution) 230197: - gwdvar - Gravity wave dissipation (variable resolution) 230198: - srcvar - Skin reservoir content (variable resolution) 230205: - rovar - Runoff (variable resolution) 230208: - tsrcvar - Top net solar radiation, clear sky (variable resolution) 230209: - ttrcvar - Top net thermal radiation, clear sky (variable resolution) 230210: - ssrcvar - Surface net solar radiation, clear sky (variable resolution) 230211: - strcvar - Surface net thermal radiation, clear sky (variable resolution) 230212: - tisrvar - TOA incident solar radiation (variable resolution) 230213: - vimdvar - Vertically integrated moisture divergence (variable resolution) 230216: - fzravar - Accumulated freezing rain (variable resolution) 230228: - tpvar - Total precipitation (variable resolution) 230239: - csfvar - Convective snowfall (variable resolution) 230240: - lsfvar - Large-scale snowfall (variable resolution) 230251: - pevvar - Potential evaporation (variable resolution) 231001: - fzrawe - Accumulated freezing rain water equivalent 231002: - rowe - Runoff water equivalent (surface plus subsurface) 231003: - eswe - Snow evaporation water equivalent 231004: - pevr - Potential evaporation rate 231005: - peva - Potential evaporation 231006: - tifr - Tile fraction 231007: - tipe - Tile percentage 231008: - flsrm - Forecast logarithm of surface roughness length for moisture 231009: - surfror - Surface runoff rate 231010: - surfro - Surface runoff 231011: - ssurfror - Sub-surface runoff rate 231012: - ssurfro - Sub-surface runoff 231013: - rfl04 - Reflectance in 0.4 micron channel 231014: - vdiv - Vertical divergence 231015: - dtc - Drag thermal coefficient 231016: - dec - Drag evaporation coefficient 231017: - pdhs - Pressure departure from hydrostatic state 231018: - snrf - Surface net radiation flux (SW and LW) 231019: - tnrf - Top net radiation flux (SW and LW) 231020: - mtnrf - Time-mean top net radiation flux (SW and LW) 231021: - gits - Global irradiance on tilted surfaces 231022: - eagr - Eady growth rate 231023: - tdtc - Tropical cyclones track density 231024: - cant - Canopy air temperature 231025: - swit - Soil wetness index (total layer) 231026: - swir - Soil wetness index (root zone) 231027: - swil - Soil wetness index (layer) 231028: - ddrf - Distance downward from roof surface 231029: - diws - Distance inward from outer wall surface 231030: - ddrd - Distance downward from road surface 231031: - rpc - Renewable power capacity 231032: - rppr - Renewable power production rate 231033: - rpp - Renewable power production 231034: - wpc - Wind power capacity 231035: - wppr - Wind power production rate 231036: - wpp - Wind power production 231037: - pvpc - Solar photovoltaic (PV) power capacity 231038: - pvppr - Solar photovoltaic (PV) power production rate 231039: - pvpp - Solar photovoltaic (PV) power production 231040: - tgrp - Graupel (snow pellets) precipitation 231041: - litotint - Time-integrated total lightning flash density 231042: - maxtcg - Maximum total column integrated graupel (snow pellets) 231043: - minvis - Minimum visibility 231044: - hthg - Geometric height of theta level above ground 231045: - pcdb - Pressure at cloud base 231046: - hacg - Geometric height of adiabatic condensation level above ground 231047: - hfcg - Geometric height of free convection level above ground 231048: - hnbg - Geometric height of neutral buoyancy level above ground 231049: - deg3l - Geometric height of 3 degrees C atmospheric isothermal level above ground 231050: - rft - Roof temperature 231051: - wlt - Wall temperature 231052: - rdt - Road temperature 231053: - sdrf - Snow depth water equivalent on roof 231054: - sdrd - Snow depth water equivalent on road 231055: - urct - Urban canyon temperature 231056: - urcq - Urban canyon specific humidity 231057: - csfwe - Convective snowfall water equivalent 231058: - lsfwe - Large-scale snowfall water equivalent 231059: - lslt - Lake surface temperature 231060: - sbrn - Surface bulk Richardson number 231061: - mx2r - Time-maximum 2 metre relative humidity 231062: - mn2r - Time-minimum 2 metre relative humidity 231063: - srhe - Surface roughness for heat 231064: - srmo - Surface roughness for moisture 231065: - esrwe - Snow evaporation rate water equivalent 231066: - rare - Radar reflectivity 231067: - pcdc - Pressure at cloud ceiling 231068: - visp - Visibility through precipitation 231069: - h0thg - Geometric height of 0 degrees C theta level above ground 231070: - h1thg - Geometric height of 1 degree C theta level above ground 231071: - h1p5thg - Geometric height of 1.5 degrees C theta level above ground 231072: - vswrz - Volumetric soil moisture (root zone) 231073: - tcvmrpr - Total column vertical-maximum radar precipitation rate 231074: - tcvmrr - Total column vertical-maximum radar reflectivity 231500: - hits - Thunderstorm hazard index 231501: - hiswf - Surface water flooding hazard index 231502: - hipa - Polluted air hazard index 231503: - hiss - Storm surge hazard index 231504: - hicw - Cold wave hazard index 231505: - hihf - Frost (hoar frost) hazard index 231506: - hihw - Heatwave hazard index 231507: - hiw - Wind hazard index 231508: - hiwf - Wildfires hazard index 232000: - fba - Burned area 232001: - bia - Burning area 232002: - baa - Burnable area 232003: - ubaa - Un-burnable area 232004: - fuell - Fuel load 232005: - combc - Combustion completeness 232006: - fuelmc - Fuel moisture content 232007: - llfl - Live leaf fuel load 232008: - lwfl - Live wood fuel load 232009: - dlfl - Dead leaf fuel load 232010: - dwfl - Dead wood fuel load 232011: - lfmc - Live fuel moisture content 232012: - fdlmc - Fine dead leaf moisture content 232013: - ddlmc - Dense dead leaf moisture content 232014: - fdwmc - Fine dead wood moisture content 232015: - ddwmc - Dense dead wood moisture content 232016: - lfmclv - Live fuel moisture content in low vegetation 232017: - lfmchv - Live fuel moisture content in high vegetation 233000: - tvige - Time-integrated total column vertically-integrated eastward geopotential flux 233001: - tvign - Time-integrated total column vertically-integrated northward geopotential flux 233002: - tviwgd - Time-integrated total column vertically-integrated divergence of water geopotential flux 233003: - tvigd - Time-integrated total column vertically-integrated divergence of geopotential flux 233004: - tviee - Time-integrated total column vertically-integrated eastward enthalpy flux 233005: - tvien - Time-integrated total column vertically-integrated northward enthalpy flux 233006: - tvikee - Time-integrated total column vertically-integrated eastward kinetic energy flux 233007: - tviken - Time-integrated total column vertically-integrated northward kinetic energy flux 233008: - tvitee - Time-integrated total column vertically-integrated eastward total energy flux 233009: - tviten - Time-integrated total column vertically-integrated northward total energy flux 233010: - tvied - Time-integrated total column vertically-integrated divergence of enthalpy flux 233011: - tviked - Time-integrated total column vertically-integrated divergence of kinetic energy flux 233012: - tvited - Time-integrated total column vertically-integrated divergence of total energy flux 233013: - tviwed - Time-integrated total column vertically-integrated divergence of water enthalpy flux 233014: - tvimad - Time-integrated total column vertically-integrated divergence of mass flux 233015: - tvimae - Time-integrated total column vertically-integrated eastward mass flux 233016: - tviman - Time-integrated total column vertically-integrated northward mass flux 233017: - tviwvd - Time-integrated total column vertically-integrated divergence of water vapour flux 233018: - tviclwd - Time-integrated total column vertically-integrated divergence of cloud liquid water flux 233019: - tviciwd - Time-integrated total column vertically-integrated divergence of cloud ice water flux 233020: - tvird - Time-integrated total column vertically-integrated divergence of rain flux 233021: - tvisd - Time-integrated total column vertically-integrated divergence of snow flux 233022: - tviwve - Time-integrated total column vertically-integrated eastward water vapour flux 233023: - tviwvn - Time-integrated total column vertically-integrated northward water vapour flux 233024: - tviclwe - Time-integrated total column vertically-integrated eastward cloud liquid water flux 233025: - tviclwn - Time-integrated total column vertically-integrated northward cloud liquid water flux 233026: - tviciwe - Time-integrated total column vertically-integrated eastward cloud ice water flux 233027: - tviciwn - Time-integrated total column vertically-integrated northward cloud ice water flux 233028: - tvire - Time-integrated total column vertically-integrated eastward rain flux 233029: - tvirn - Time-integrated total column vertically-integrated northward rain flux 233030: - tvise - Time-integrated total column vertically-integrated eastward snow flux 233031: - tvisn - Time-integrated total column vertically-integrated northward snow flux 233032: - tvioze - Time-integrated total column vertically-integrated eastward ozone flux 233033: - tviozn - Time-integrated total column vertically-integrated northward ozone flux 233034: - tviozd - Time-integrated total column vertically-integrated divergence of ozone flux 233035: - tvions - Time-integrated total column vertically-integrated net source of ozone 234139: - sts - Surface temperature significance 234151: - msls - Mean sea level pressure significance 234167: - 2ts - 2 metre temperature significance 234228: - tps - Total precipitation significance 235001: - avg_ttswr - Time-mean temperature tendency due to short-wave radiation 235002: - avg_ttlwr - Time-mean temperature tendency due to long-wave radiation 235003: - avg_ttswrcs - Time-mean temperature tendency due to short wave radiation, clear sky 235004: - avg_ttlwrcs - Time-mean temperature tendency due to long-wave radiation, clear sky 235005: - avg_ttpm - Time-mean temperature tendency due to parametrisations 235006: - avg_qtpm - Time-mean specific humidity tendency due to parametrisations 235007: - avg_utpm - Time-mean eastward wind tendency due to parametrisations 235008: - avg_vtpm - Time-mean northward wind tendency due to parametrisations 235009: - avg_umf - Time-mean updraught mass flux 235010: - avg_dmf - Time-mean downdraught mass flux 235011: - avg_udr - Time-mean updraught detrainment rate 235012: - avg_ddr - Time-mean downdraught detrainment rate 235013: - avg_tpf - Time-mean total precipitation flux 235014: - avg_tdch - Time-mean turbulent diffusion coefficient for heat 235015: - tirf - Time integral of rain flux 235017: - tisemf - Time integral of surface eastward momentum flux 235018: - tisnmf - Time integral of surface northward momentum flux 235019: - tislhef - Time integral of surface latent heat evaporation flux 235020: - avg_surfror - Time-mean surface runoff rate 235021: - avg_ssurfror - Time-mean sub-surface runoff rate 235022: - avg_parcsf - Time-mean surface photosynthetically active radiation flux, clear sky 235023: - avg_esrwe - Time-mean snow evaporation rate water equivalent 235024: - avg_smr - Time-mean snow melt rate 235025: - avg_imagss - Time-mean magnitude of turbulent surface stress 235026: - avg_ilspf - Time-mean large-scale precipitation fraction 235027: - avg_sduvrf - Time-mean surface downward UV radiation flux 235028: - avg_sparf - Time-mean surface photosynthetically active radiation flux 235029: - avg_lsprate - Time-mean large-scale precipitation rate 235030: - avg_cpr - Time-mean convective precipitation rate 235031: - avg_tsrwe - Time-mean total snowfall rate water equivalent 235032: - avg_ibld - Time-mean boundary layer dissipation 235033: - avg_ishf - Time-mean surface sensible heat flux 235034: - avg_slhtf - Time-mean surface latent heat flux 235035: - avg_sdswrf - Time-mean surface downward short-wave radiation flux 235036: - avg_sdlwrf - Time-mean surface downward long-wave radiation flux 235037: - avg_snswrf - Time-mean surface net short-wave radiation flux 235038: - avg_snlwrf - Time-mean surface net long-wave radiation flux 235039: - avg_tnswrf - Time-mean top net short-wave radiation flux 235040: - avg_tnlwrf - Time-mean top net long-wave radiation flux 235041: - avg_iews - Time-mean eastward turbulent surface stress 235042: - avg_inss - Time-mean northward turbulent surface stress 235043: - avg_ie - Time-mean moisture flux 235044: - avg_sdf - Time-mean sunshine duration fraction 235045: - avg_iegwss - Time-mean eastward gravity wave surface stress 235046: - avg_ingwss - Time-mean northward gravity wave surface stress 235047: - avg_igwd - Time-mean gravity wave dissipation 235048: - avg_rorwe - Time-mean runoff rate water equivalent (surface plus subsurface) 235049: - avg_tnswrfcs - Time-mean top net short-wave radiation flux, clear sky 235050: - avg_tnlwrfcs - Time-mean top net long-wave radiation flux, clear sky 235051: - avg_snswrfcs - Time-mean surface net short-wave radiation flux, clear sky 235052: - avg_snlwrfcs - Time-mean surface net long-wave radiation flux, clear sky 235053: - avg_tdswrf - Time mean top downward short-wave radiation flux 235054: - avg_vimdf - Time-mean total column vertically-integrated moisture divergence flux 235055: - avg_tprate - Time-mean total precipitation rate 235056: - avg_csfr - Time-mean convective snowfall rate water equivalent 235057: - avg_lssfr - Time-mean large scale snowfall rate water equivalent 235058: - avg_sdirswrf - Time-mean surface direct short-wave radiation flux 235059: - avg_sdirswrfcs - Time-mean surface direct short-wave radiation flux, clear sky 235060: - msdfswrf - Mean surface diffuse short-wave radiation flux 235061: - avg_sdifswrfcs - Time-mean surface diffuse short-wave radiation flux, clear sky 235062: - avg_fco2nee - Time-mean carbon dioxide net ecosystem exchange flux 235063: - avg_fco2gpp - Time-mean carbon dioxide gross primary production flux 235064: - avg_fco2rec - Time-mean carbon dioxide ecosystem respiration flux 235065: - mrr - Mean rain rate 235066: - mcrr - Mean convective rain rate 235067: - mlsrr - Mean large-scale rain rate 235068: - avg_sdswrfcs - Time-mean surface downward short-wave radiation flux, clear sky 235069: - avg_sdlwrfcs - Time-mean surface downward long-wave radiation flux, clear sky 235070: - avg_pevr - Time-mean potential evaporation rate 235071: - tislhsf - Time integral of surface latent heat sublimation flux 235072: - tisef - Time integral of snow evaporation flux 235073: - tietrf - Time integral of evapotranspiration flux 235074: - avg_etr - Time-mean evapotranspiration rate 235075: - tipet - Time integral of potential evapotranspiration rate 235076: - avg_petr - Time-mean potential evapotranspiration rate 235077: - avg_vsw - Time-mean volumetric soil moisture 235078: - avg_sd - Time-mean snow depth water equivalent 235079: - avg_skt - Time-mean skin temperature 235080: - avg_rsn - Time-mean snow density 235081: - avg_cvl - Time-mean low vegetation cover 235082: - avg_cvh - Time-mean high vegetation cover 235083: - avg_ci - Time-mean sea ice area fraction 235084: - avg_sst - Time-mean sea surface temperature 235085: - avg_lai_lv - Time-mean leaf area index, low vegetation 235086: - avg_lai_hv - Time-mean leaf area index, high vegetation 235087: - avg_tclw - Time-mean total column liquid water 235088: - avg_tciw - Time-mean total column cloud ice water 235089: - avg_2sh - Time-mean 2 metre specific humidity 235090: - avg_lmlt - Time-mean lake mix-layer temperature 235091: - avg_lmld - Time-mean lake mix-layer depth 235092: - avg_2r - Time-mean 2 metre relative humidity 235093: - avg_fscov - Time-mean fraction of snow cover 235094: - avg_sot - Time-mean soil temperature 235095: - avg_sde - Time-mean snow depth 235096: - avg_snowc - Time-mean snow cover 235097: - avg_ws - Time-mean wind speed 235098: - avg_pres - Time-mean pressure 235099: - avg_chnk - Time-mean charnock 235100: - avg_pv - Time-mean potential vorticity 235101: - avg_crwc - Time-mean specific rain water content 235102: - avg_cswc - Time-mean specific snow water content 235103: - avg_etadot - Time-mean eta-coordinate vertical velocity 235105: - avg_vis - Time-mean visibility 235106: - avg_wdir - Time-mean wind direction 235107: - avg_tcsw - Time-mean total column snow water 235108: - avg_lcc - Time-mean low cloud cover 235109: - avg_mcc - Time-mean medium cloud cover 235110: - avg_hcc - Time-mean high cloud cover 235111: - avg_tcrw - Time-mean total column rain water 235113: - avg_sm20 - Time-mean soil moisture top 20 cm 235114: - avg_sm100 - Time-mean soil moisture top 100 cm 235115: - avg_st20 - Time-mean soil temperature top 20 cm 235116: - avg_st100 - Time-mean soil temperature top 100 cm 235117: - avg_mucape - Time-mean most-unstable CAPE 235118: - avg_vsw20 - Time-mean volumetric soil moisture top 20 cm 235119: - avg_vsw100 - Time-mean volumetric soil moisture top 100 cm 235120: - avg_tcolg - Time-mean total column vertically-integrated graupel (snow pellets) 235129: - avg_z - Time-mean geopotential 235130: - avg_t - Time-mean temperature 235131: - avg_u - Time-mean U component of wind 235132: - avg_v - Time-mean V component of wind 235133: - avg_q - Time-mean specific humidity 235134: - avg_sp - Time-mean surface pressure 235135: - avg_w - Time-mean vertical velocity 235136: - avg_tcw - Time-mean total column water 235137: - avg_tcwv - Time-mean total column vertically-integrated water vapour 235138: - avg_vo - Time-mean vorticity (relative) 235141: - avg_sd_m - Time-mean snow depth 235149: - avg_snrf - Time-mean surface net radiation flux (SW and LW) 235150: - avg_tnrf - Time-mean top net radiation flux (SW and LW) 235151: - avg_msl - Time-mean mean sea level pressure 235152: - avg_lnsp - Time-mean logarithm of surface pressure 235155: - avg_d - Time-mean divergence 235157: - avg_r - Time-mean relative humidity 235159: - avg_blh - Time-mean boundary layer height 235165: - avg_10u - Time-mean 10 metre U wind component 235166: - avg_10v - Time-mean 10 metre V wind component 235168: - avg_2d - Time-mean 2 metre dewpoint temperature 235186: - avg_lcc_frac - Time-mean low cloud cover 235187: - avg_mcc_frac - Time-mean medium cloud cover 235188: - avg_hcc_frac - Time-mean high cloud cover 235189: - avg_suns - Time-mean sunshine 235203: - avg_o3 - Time-mean ozone mass mixing ratio 235238: - avg_tsn - Time-mean temperature of snow layer 235243: - avg_fal_frac - Time-mean forecast albedo 235244: - avg_fsr - Time-mean forecast surface roughness 235245: - avg_flsr - Time-mean forecast logarithm of surface roughness for heat 235246: - avg_clwc - Time-mean specific cloud liquid water content 235247: - avg_ciwc - Time-mean specific cloud ice water content 235248: - avg_cc - Time-mean fraction of cloud cover 235257: - avg_kx - Time-mean K index 235258: - avg_totalx - Time-mean total totals index 235261: - avg_10wdir - Time-mean 10 metre wind direction 235262: - avg_cat - Time-mean clear air turbulence (CAT) 235263: - avg_al - Time-mean forecast albedo 235269: - avg_pt - Time-mean potential temperature 235270: - avg_dis - Time-mean discharge from rivers or streams 235271: - avg_swit - Time-mean soil wetness index (total layer) 235272: - avg_swir - Time-mean soil wetness index (root zone) 235273: - avg_swil - Time-mean soil wetness index(layer) 235274: - avg_flddep - Time-mean floodplain depth 235275: - avg_fldffr - Time-mean floodplain flooded fraction 235276: - avg_fldfar - Time-mean floodplain flooded area 235277: - avg_rivfr - Time-mean river fraction 235278: - avg_rivar - Time-mean river area 235279: - avg_rivcffr - Time-mean fraction of river coverage plus river related flooding 235280: - avg_rivcfar - Time-mean area of river coverage plus river related flooding 235281: - avg_aluvp_p - Time-mean UV visible albedo for direct radiation (climatological) 235282: - avg_aluvd_p - Time-mean UV visible albedo for diffuse radiation (climatological) 235283: - avg_alnip_p - Time-mean near IR albedo for direct radiation (climatological) 235284: - avg_alnid_p - Time-mean near IR albedo for diffuse radiation (climatological) 235285: - avg_asn - Time-mean snow albedo 235286: - avg_mont - Time-mean montgomery potential 235287: - avg_cape - Time-mean convective available potential energy 235288: - avg_tcc - Time-mean total cloud cover 235289: - avg_srcon - Time-mean skin reservoir content 235290: - avg_tcioz - Time-mean total column integrated ozone 235291: - avg_vike - Time-mean total column vertically-integrated kinetic energy 235292: - avg_vithe - Time-mean total column vertically-integrated enthalpy 235293: - avg_vipie - Time-mean total column vertically-integrated potential + internal energy 235294: - avg_vipile - Time-mean total column vertically-integrated potential+internal+latent energy 235295: - avg_vitoe - Time-mean total column vertically-integrated total energy 235296: - avg_viwe - Time-mean total column vertically-integrated water enthalpy 235297: - avg_aluvpi_p - Time-mean UV visible albedo for direct radiation, isotropic component (climatological) 235298: - avg_aluvpv_p - Time-mean UV visible albedo for direct radiation, volumetric component (climatological) 235299: - avg_aluvpg_p - Time-mean UV visible albedo for direct radiation, geometric component (climatological) 235300: - avg_alnipi_p - Time-mean near IR albedo for direct radiation, isotropic component (climatological) 235301: - avg_alnipv_p - Time-mean near IR albedo for direct radiation, volumetric component (climatological) 235302: - avg_alnipg_p - Time-mean near IR albedo for direct radiation, geometric component (climatological) 235303: - avg_cin - Time-mean convective inhibition 235304: - avg_zust - Time-mean friction velocity 235305: - avg_lblt - Time-mean lake bottom temperature 235306: - avg_ltlt - Time-mean lake total layer temperature 235307: - avg_lshf - Time-mean lake shape factor 235308: - avg_lict - Time-mean lake ice surface temperature 235309: - avg_licd - Time-mean lake ice total depth 235310: - avg_dndzn - Time-mean minimum vertical gradient of refractivity inside trapping layer 235311: - avg_dndza - Time-mean mean vertical gradient of refractivity inside trapping layer 235312: - avg_dctb - Time-mean duct base height 235313: - avg_tplb - Time-mean trapping layer base height 235314: - avg_tplt - Time-mean trapping layer top height 235315: - avg_degm10l - Time-mean geometric height of -10 degrees C atmospheric isothermal level above ground 235316: - avg_cbh - Time-mean cloud base height 235317: - avg_deg0l - Time-mean geometric height of 0 degrees C atmospheric isothermal level above ground 235318: - avg_i10fg - Time-mean 10 metre wind gust 235319: - avg_rhw - Time-mean relative humidity with respect to water 235320: - avg_2rhw - Time-mean 2 metre relative humidity with respect to water 235321: - avg_capes - Time-mean convective available potential energy shear 235322: - avg_trpp - Time-mean tropopause pressure 235323: - avg_hcct - Time-mean height of convective cloud top 235324: - avg_hwbt0 - Time-mean height of zero-degree wet-bulb temperature 235325: - avg_hwbt1 - Time-mean height of one-degree wet-bulb temperature 235326: - avg_litoti - Time-mean total lightning flash density 235327: - avg_tcslw - Time-mean total column supercooled liquid water 235328: - avg_u10n - Time-mean 10 metre U-component of neutral wind 235329: - avg_v10n - Time-mean 10 metre V-component of neutral wind 235330: - avg_crr - Time-mean convective rain rate 235331: - avg_lsrr - Time-mean large scale rain rate 235332: - avg_mlcape50 - Time-mean mixed-layer CAPE in the lowest 50 hPa 235333: - avg_mlcin50 - Time-mean mixed-layer CIN in the lowest 50 hPa 235334: - avg_mlcape100 - Time-mean mixed-layer CAPE in the lowest 100 hPa 235335: - avg_mlcin100 - Time-mean mixed-layer CIN in the lowest 100 hPa 235336: - avg_mudlp - Time-mean departure level of the most unstable parcel expressed as Pressure 235337: - avg_ceil - Time-mean ceiling 235338: - avg_tcsqw - Time-mean total column integrated saturation specific humidity with respect to water 235339: - avg_sdirnswrf - Time-mean surface direct normal short-wave radiation flux 235340: - avg_cossza - Time-mean cosine of solar zenith angle 235341: - avg_fprate - Time-mean freezing rain precipitation rate 235342: - avg_vige - Time-mean total column vertically-integrated eastward geopotential flux 235343: - avg_vign - Time-mean total column vertically-integrated northward geopotential flux 235344: - avg_viwgd - Time-mean total column vertically-integrated divergence of water geopotential flux 235345: - avg_vigd - Time-mean total column vertically-integrated divergence of geopotential flux 235346: - avg_viee - Time-mean total column vertically-integrated eastward enthalpy flux 235347: - avg_vien - Time-mean total column vertically-integrated northward enthalpy flux 235348: - avg_vikee - Time-mean total column vertically-integrated eastward kinetic energy flux 235349: - avg_viken - Time-mean total column vertically-integrated northward kinetic energy flux 235350: - avg_vitee - Time-mean total column vertically-integrated eastward total energy flux 235351: - avg_viten - Time-mean total column vertically-integrated northward total energy flux 235352: - avg_vied - Time-mean total column vertically-integrated divergence of enthalpy flux 235353: - avg_viked - Time-mean total column vertically-integrated divergence of kinetic energy flux 235354: - avg_vited - Time-mean total column vertically-integrated divergence of total energy flux 235355: - avg_viwed - Time-mean total column vertically-integrated divergence of water enthalpy flux 235356: - avg_vimad - Time-mean total column vertically-integrated divergence of mass flux 235357: - avg_vimae - Time-mean total column vertically-integrated eastward mass flux 235358: - avg_viman - Time-mean total column vertically-integrated northward mass flux 235359: - avg_viwvd - Time-mean total column vertically-integrated divergence of water vapour flux 235360: - avg_viclwd - Time-mean total column vertically-integrated divergence of cloud liquid water flux 235361: - avg_viciwd - Time-mean total column vertically-integrated divergence of cloud ice water flux 235362: - avg_vird - Time-mean total column vertically-integrated divergence of rain flux 235363: - avg_visd - Time-mean total column vertically-integrated divergence of snow flux 235364: - avg_viwve - Time-mean total column vertically-integrated eastward water vapour flux 235365: - avg_viwvn - Time-mean total column vertically-integrated northward water vapour flux 235366: - avg_viclwe - Time-mean total column vertically-integrated eastward cloud liquid water flux 235367: - avg_viclwn - Time-mean total column vertically-integrated northward cloud liquid water flux 235368: - avg_viciwe - Time-mean total column vertically-integrated eastward cloud ice water flux 235369: - avg_viciwn - Time-mean total column vertically-integrated northward cloud ice water flux 235370: - avg_vire - Time-mean total column vertically-integrated eastward rain flux 235371: - avg_virn - Time-mean total column vertically-integrated northward rain flux 235372: - avg_vise - Time-mean total column vertically-integrated eastward snow flux 235373: - avg_visn - Time-mean total column vertically-integrated northward snow flux 235374: - avg_vioze - Time-mean total column vertically-integrated eastward ozone flux 235375: - avg_viozn - Time-mean total column vertically-integrated northward ozone flux 235376: - avg_viozd - Time-mean total column vertically-integrated divergence of ozone flux 235377: - avg_vions - Time-mean total column vertically-integrated net source of ozone 235378: - avg_ietssofd - Time-mean eastward turbulent surface stress due to orographic form drag 235379: - avg_intssofd - Time-mean northward turbulent surface stress due to orographic form drag 235380: - avg_ietsssr - Time-mean eastward turbulent surface stress due to surface roughness 235381: - avg_intsssr - Time-mean northward turbulent surface stress due to surface roughness 235382: - avg_visp - Time-mean visibility through precipitation 235383: - avg_licgi - Time-mean cloud-to-ground lightning flash density 235386: - avg_lshnf - Time-mean land surface heat net flux 235387: - avg_sdirnswrfcs - Time-mean surface direct normal short-wave radiation flux, clear sky 235388: - avg_10cogu - Time-mean 10 metre convective gust 235389: - avg_10tugu - Time-mean 10 metre turbulent gust 235390: - avg_h0thg - Time-mean geometric height of 0 degrees C theta level above ground 235391: - avg_h1thg - Time-mean geometric height of 1 degree C theta level above ground 235392: - avg_h1p5thg - Time-mean geometric height of 1.5 degrees C theta level above ground 235393: - avg_veg - Time-mean vegetation 235394: - avg_lai - Time-mean leaf area index 235395: - avg_srhe - Time-mean surface roughness for heat 235396: - avg_rol - Time-mean Reciprocal Obukhov length 235397: - avg_deg3l - Time-mean geometric height of 3 degrees C atmospheric isothermal level above ground 235398: - avg_rivsto - Time-mean river storage of water 235399: - avg_fldsto - Time-mean floodplain storage of water 235400: - avg_rivdph - Time-mean river depth 235401: - avg_rivout - Time-mean river outflow of water 235402: - avg_fldout - Time-mean floodplain outflow of water 235403: - avg_pthflw - Time-mean floodpath outflow of water 235404: - avg_sdifswrfcs - Time-mean surface diffuse short-wave radiation flux, clear sky 235405: - avg_vswrz - Time-mean volumetric soil moisture (root zone) 235406: - avg_lwcs - Time-mean liquid water content in snow pack 235407: - avg_mucin - Time-mean most-unstable CIN 235408: - avg_crwc_conv - Time-mean specific rain water content (convective) 235409: - avg_cswc_conv - Time-mean specific snow water content (convective) 235410: - avg_mld - Time-mean mixed layer depth 235411: - avg_cur - Time-mean urban cover 235412: - avg_wse - Time-mean water surface elevation 235413: - avg_grfr - Time-mean groundwater return flow rate 235414: - avg_rivfldsto - Time-mean river and floodplain storage 235415: - avg_darv - Time-mean depth-averaged river velocity 235416: - avg_ws10thr - Time-mean Wind speed threshold for wind erosion 236386: - acc_lshnf - Time-integrated land surface heat net flux 236387: - acc_sdirnswrfcs - Time-integrated surface direct normal short-wave radiation flux, clear sky 237001: - max_ttswr - Time-maximum temperature tendency due to short-wave radiation 237002: - max_ttlwr - Time-maximum temperature tendency due to long-wave radiation 237003: - max_ttswrcs - Time-maximum temperature tendency due to short wave radiation, clear sky 237004: - max_ttlwrcs - Time-maximum temperature tendency due to long-wave radiation, clear sky 237005: - max_ttpm - Time-maximum temperature tendency due to parametrisations 237006: - max_qtpm - Time-maximum specific humidity tendency due to parametrisations 237007: - max_utpm - Time-maximum eastward wind tendency due to parametrisations 237008: - max_vtpm - Time-maximum northward wind tendency due to parametrisations 237009: - max_umf - Time-maximum updraught mass flux 237010: - max_dmf - Time-maximum downdraught mass flux 237011: - max_udr - Time-maximum updraught detrainment rate 237012: - max_ddr - Time-maximum downdraught detrainment rate 237013: - max_tpf - Time-maximum total precipitation flux 237014: - max_tdch - Time-maximum turbulent diffusion coefficient for heat 237022: - max_parcsf - Time-maximum surface photosynthetically active radiation flux, clear sky 237023: - max_esrwe - Time-maximum snow evaporation rate water equivalent 237024: - max_smr - Time-maximum snow melt rate 237025: - max_imagss - Time-maximum magnitude of turbulent surface stress 237026: - max_ilspf - Time-maximum large-scale precipitation fraction 237027: - max_sduvrf - Time-maximum surface downward UV radiation flux 237028: - max_sparf - Time-maximum surface photosynthetically active radiation flux 237029: - max_lsprate - Time-maximum large-scale precipitation rate 237030: - max_cpr - Time-maximum convective precipitation rate 237031: - max_tsrwe - Time-maximum total snowfall rate water equivalent 237032: - max_ibld - Time-maximum boundary layer dissipation 237033: - max_ishf - Time-maximum surface sensible heat flux 237034: - max_slhtf - Time-maximum surface latent heat flux 237035: - max_sdswrf - Time-maximum surface downward short-wave radiation flux 237036: - max_sdlwrf - Time-maximum surface downward long-wave radiation flux 237037: - max_snswrf - Time-maximum surface net short-wave radiation flux 237038: - max_snlwrf - Time-maximum surface net long-wave radiation flux 237039: - max_tnswrf - Time-maximum top net short-wave radiation flux 237040: - max_tnlwrf - Time-maximum top net long-wave radiation flux 237041: - max_iews - Time-maximum eastward turbulent surface stress 237042: - max_inss - Time-maximum northward turbulent surface stress 237043: - max_ie - Time-maximum moisture flux 237045: - max_iegwss - Time-maximum eastward gravity wave surface stress 237046: - max_ingwss - Time-maximum northward gravity wave surface stress 237047: - max_igwd - Time-maximum gravity wave dissipation 237048: - max_rorwe - Time-maximum runoff rate water equivalent (surface plus subsurface) 237049: - max_tnswrfcs - Time-maximum top net short-wave radiation flux, clear sky 237050: - max_tnlwrfcs - Time-maximum top net long-wave radiation flux, clear sky 237051: - max_snswrfcs - Time-maximum surface net short-wave radiation flux, clear sky 237052: - max_snlwrfcs - Time-maximum surface net long-wave radiation flux, clear sky 237053: - max_tdswrf - Time mean top downward short-wave radiation flux 237054: - max_vimdf - Time-maximum total column vertically-integrated moisture divergence flux 237055: - max_tprate - Time-maximum total precipitation rate 237056: - max_csfr - Time-maximum convective snowfall rate water equivalent 237057: - max_lssfr - Time-maximum large scale snowfall rate water equivalent 237058: - max_sdirswrf - Time-maximum surface direct short-wave radiation flux 237059: - max_sdirswrfcs - Time-maximum surface direct short-wave radiation flux, clear sky 237062: - max_fco2nee - Time-maximum carbon dioxide net ecosystem exchange flux 237063: - max_fco2gpp - Time-maximum carbon dioxide gross primary production flux 237064: - max_fco2rec - Time-maximum carbon dioxide ecosystem respiration flux 237068: - max_sdswrfcs - Time-maximum surface downward short-wave radiation flux, clear sky 237069: - max_sdlwrfcs - Time-maximum surface downward long-wave radiation flux, clear sky 237070: - max_pevr - Time-maximum potential evaporation rate 237077: - max_vsw - Time-maximum volumetric soil moisture 237078: - max_sd - Time-maximum snow depth water equivalent 237079: - max_skt - Time-maximum skin temperature 237080: - max_rsn - Time-maximum snow density 237083: - max_ci - Time-maximum sea ice area fraction 237084: - max_sst - Time-maximum sea surface temperature 237085: - max_lai_lv - Time-maximum leaf area index, low vegetation 237086: - max_lai_hv - Time-maximum leaf area index, high vegetation 237087: - max_tclw - Time-maximum total column cloud liquid water 237088: - max_tciw - Time-maximum total column cloud ice water 237089: - max_2sh - Time-maximum 2 metre specific humidity 237090: - max_lmlt - Time-maximum lake mix-layer temperature 237091: - max_lmld - Time-maximum lake mix-layer depth 237092: - max_2r - Time-maximum 2 metre relative humidity 237093: - max_fscov - Time-maximum fraction of snow cover 237094: - max_sot - Time-maximum soil temperature 237097: - max_ws - Time-maximum wind speed 237098: - max_pres - Time-maximum pressure 237099: - max_chnk - Time-maximum charnock 237100: - max_pv - Time-maximum potential vorticity 237101: - max_crwc - Time-maximum specific rain water content 237102: - max_cswc - Time-maximum specific snow water content 237103: - max_etadot - Time-maximum eta-coordinate vertical velocity 237105: - max_vis - Time-maximum visibility 237106: - max_wdir - Time-maximum wind direction 237107: - max_tcsw - Time-maximum total column snow water 237108: - max_lcc - Time-maximum low cloud cover 237109: - max_mcc - Time-maximum medium cloud cover 237110: - max_hcc - Time-maximum high cloud cover 237111: - max_tcrw - Time-maximum total column rain water 237117: - max_mucape - Time-maximum most-unstable CAPE 237120: - max_tcolg - Time-maximum total column vertically-integrated graupel (snow pellets) 237129: - max_z - Time-maximum geopotential 237130: - max_t - Time-maximum temperature 237131: - max_u - Time-maximum u component of wind 237132: - max_v - Time-maximum v component of wind 237133: - max_q - Time-maximum specific humidity 237134: - max_sp - Time-maximum surface pressure 237135: - max_w - Time-maximum vertical velocity 237136: - max_tcw - Time-maximum total column water 237137: - max_tcwv - Time-maximum total column vertically-integrated water vapour 237138: - max_vo - Time-maximum vorticity (relative) 237151: - max_msl - Time-maximum mean sea level pressure 237152: - max_lnsp - Time-maximum logarithm of surface pressure 237155: - max_d - Time-maximum divergence 237157: - max_r - Time-maximum relative humidity 237159: - max_blh - Time-maximum boundary layer height 237165: - max_10u - Time-maximum 10 metre U wind component 237166: - max_10v - Time-maximum 10 metre V wind component 237167: - max_2t - Time-maximum 2 metre temperature 237168: - max_2d - Time-maximum 2 metre dewpoint temperature 237189: - max_suns - Time-maximum sunshine 237203: - max_o3 - Time-maximum ozone mass mixing ratio 237207: - max_10si - Time-maximum 10 metre wind speed 237238: - max_tsn - Time-maximum temperature of snow layer 237244: - max_fsr - Time-maximum forecast surface roughness 237245: - max_flsr - Time-maximum forecast logarithm of surface roughness for heat 237246: - max_clwc - Time-maximum specific cloud liquid water content 237247: - max_ciwc - Time-maximum specific cloud ice water content 237248: - max_cc - Time-maximum fraction of cloud cover 237257: - max_kx - Time-maximum k index 237258: - max_totalx - Time-maximum total totals index 237261: - max_10wdir - Time-maximum 10 metre wind direction 237262: - max_cat - Time-maximum clear air turbulence (CAT) 237263: - max_al - Time-maximum forecast albedo 237269: - max_pt - Time-maximum potential temperature 237281: - max_aluvp_p - Time-maximum UV visible albedo for direct radiation (climatological) 237282: - max_aluvd_p - Time-maximum UV visible albedo for diffuse radiation (climatological) 237283: - max_alnip_p - Time-maximum near IR albedo for direct radiation (climatological) 237284: - max_alnid_p - Time-maximum near IR albedo for diffuse radiation (climatological) 237285: - max_asn - Time-maximum snow albedo 237286: - max_mont - Time-maximum montgomery potential 237287: - max_cape - Time-maximum convective available potential energy 237288: - max_tcc - Time-maximum total cloud cover 237289: - max_srcon - Time-maximum skin reservoir content 237290: - max_tcioz - Time-maximum total column integrated ozone 237291: - max_vike - Time-maximum total column vertically-integrated kinetic energy 237292: - max_vithe - Time-maximum total column vertically-integrated enthalpy 237293: - max_vipie - Time-maximum total column vertically-integrated potential + internal energy 237294: - max_vipile - Time-maximum total column vertically-integrated potential+internal+latent energy 237295: - max_vitoe - Time-maximum total column vertically-integrated total energy 237296: - max_viwe - Time-maximum total column vertically-integrated water enthalpy 237297: - max_aluvpi_p - Time-maximum UV visible albedo for direct radiation, isotropic component (climatological) 237298: - max_aluvpv_p - Time-maximum UV visible albedo for direct radiation, volumetric component (climatological) 237299: - max_aluvpg_p - Time-maximum UV visible albedo for direct radiation, geometric component (climatological) 237300: - max_alnipi_p - Time-maximum near IR albedo for direct radiation, isotropic component (climatological) 237301: - max_alnipv_p - Time-maximum near IR albedo for direct radiation, volumetric component (climatological) 237302: - max_alnipg_p - Time-maximum near IR albedo for direct radiation, geometric component (climatological) 237303: - max_cin - Time-maximum convective inhibition 237304: - max_zust - Time-maximum friction velocity 237305: - max_lblt - Time-maximum lake bottom temperature 237306: - max_ltlt - Time-maximum lake total layer temperature 237307: - max_lshf - Time-maximum lake shape factor 237308: - max_lict - Time-maximum lake ice surface temperature 237309: - max_licd - Time-maximum lake ice total depth 237310: - max_dndzn - Time-maximum minimum vertical gradient of refractivity inside trapping layer 237311: - max_dndza - Time-maximum mean vertical gradient of refractivity inside trapping layer 237312: - max_dctb - Time-maximum duct base height 237313: - max_tplb - Time-maximum trapping layer base height 237314: - max_tplt - Time-maximum trapping layer top height 237315: - max_degm10l - Time-maximum geometric height of -10 degrees C atmospheric isothermal level above ground 237316: - max_cbh - Time-maximum cloud base height 237317: - max_deg0l - Time-maximum geometric height of 0 degrees C atmospheric isothermal level above ground 237318: - max_i10fg - Time-maximum 10 metre wind gust 237319: - max_rhw - Time-maximum relative humidity with respect to water 237320: - max_2rhw - Time-maximum 2 metre relative humidity with respect to water 237321: - max_capes - Time-maximum convective available potential energy shear 237322: - max_trpp - Time-maximum tropopause pressure 237323: - max_hcct - Time-maximum height of convective cloud top 237324: - max_hwbt0 - Time-maximum height of zero-degree wet-bulb temperature 237325: - max_hwbt1 - Time-maximum height of one-degree wet-bulb temperature 237326: - max_litoti - Time-maximum total lightning flash density 237327: - max_tcslw - Time-maximum total column supercooled liquid water 237328: - max_u10n - Time-maximum 10 metre U-component of neutral wind 237329: - max_v10n - Time-maximum 10 metre V-component of neutral wind 237330: - max_crr - Time-maximum convective rain rate 237331: - max_lsrr - Time-maximum large scale rain rate 237332: - max_mlcape50 - Time-maximum mixed-layer CAPE in the lowest 50 hPa 237333: - max_mlcin50 - Time-maximum mixed-layer CIN in the lowest 50 hPa 237334: - max_mlcape100 - Time-maximum mixed-layer CAPE in the lowest 100 hPa 237335: - max_mlcin100 - Time-maximum mixed-layer CIN in the lowest 100 hPa 237336: - max_mudlp - Time-maximum departure level of the most unstable parcel expressed as Pressure 237337: - max_ceil - Time-maximum ceiling 237338: - max_tcsqw - Time-maximum total column integrated saturation specific humidity with respect to water 237339: - max_sdirnswrf - Time-maximum surface direct normal short-wave radiation flux 237340: - max_cossza - Time-maximum cosine of solar zenith angle 237341: - max_fprate - Time-maximum freezing rain precipitation rate 237342: - max_vige - Time-maximum total column vertically-integrated eastward geopotential flux 237343: - max_vign - Time-maximum total column vertically-integrated northward geopotential flux 237344: - max_viwgd - Time-maximum total column vertically-integrated divergence of water geopotential flux 237345: - max_vigd - Time-maximum total column vertically-integrated divergence of geopotential flux 237346: - max_viee - Time-maximum total column vertically-integrated eastward enthalpy flux 237347: - max_vien - Time-maximum total column vertically-integrated northward enthalpy flux 237348: - max_vikee - Time-maximum total column vertically-integrated eastward kinetic energy flux 237349: - max_viken - Time-maximum total column vertically-integrated northward kinetic energy flux 237350: - max_vitee - Time-maximum total column vertically-integrated eastward total energy flux 237351: - max_viten - Time-maximum total column vertically-integrated northward total energy flux 237352: - max_vied - Time-maximum total column vertically-integrated divergence of enthalpy flux 237353: - max_viked - Time-maximum total column vertically-integrated divergence of kinetic energy flux 237354: - max_vited - Time-maximum total column vertically-integrated divergence of total energy flux 237355: - max_viwed - Time-maximum total column vertically-integrated divergence of water enthalpy flux 237356: - max_vimad - Time-maximum total column vertically-integrated divergence of mass flux 237357: - max_vimae - Time-maximum total column vertically-integrated eastward mass flux 237358: - max_viman - Time-maximum total column vertically-integrated northward mass flux 237359: - max_viwvd - Time-maximum total column vertically-integrated divergence of water vapour flux 237360: - max_viclwd - Time-maximum total column vertically-integrated divergence of cloud liquid water flux 237361: - max_viciwd - Time-maximum total column vertically-integrated divergence of cloud ice water flux 237362: - max_vird - Time-maximum total column vertically-integrated divergence of rain flux 237363: - max_visd - Time-maximum total column vertically-integrated divergence of snow flux 237364: - max_viwve - Time-maximum total column vertically-integrated eastward water vapour flux 237365: - max_viwvn - Time-maximum total column vertically-integrated northward water vapour flux 237366: - max_viclwe - Time-maximum total column vertically-integrated eastward cloud liquid water flux 237367: - max_viclwn - Time-maximum total column vertically-integrated northward cloud liquid water flux 237368: - max_viciwe - Time-maximum total column vertically-integrated eastward cloud ice water flux 237369: - max_viciwn - Time-maximum total column vertically-integrated northward cloud ice water flux 237370: - max_vire - Time-maximum total column vertically-integrated eastward rain flux 237371: - max_virn - Time-maximum total column vertically-integrated northward rain flux 237372: - max_vise - Time-maximum total column vertically-integrated eastward snow flux 237373: - max_visn - Time-maximum total column vertically-integrated northward snow flux 237374: - max_vioze - Time-maximum total column vertically-integrated eastward ozone flux 237375: - max_viozn - Time-maximum total column vertically-integrated northward ozone flux 237376: - max_viozd - Time-maximum total column vertically-integrated divergence of ozone flux 237377: - max_vions - Time-maximum total column vertically-integrated net source of ozone 237378: - max_ietssofd - Time-maximum eastward turbulent surface stress due to orographic form drag 237379: - max_intssofd - Time-maximum northward turbulent surface stress due to orographic form drag 237380: - max_ietsssr - Time-maximum eastward turbulent surface stress due to surface roughness 237381: - max_intsssr - Time-maximum northward turbulent surface stress due to surface roughness 237382: - max_visp - Time-maximum visibility through precipitation 237383: - max_licgi - Time-maximum cloud-to-ground lightning flash density 237384: - max_10efg - Time-maximum 10 metre eastward wind gust 237385: - max_10nfg - Time-maximum 10 metre northward wind gust 237386: - max_lshnf - Time-maximum land surface heat net flux 237387: - max_sdirnswrfcs - Time-maximum surface direct normal short-wave radiation flux, clear sky 237388: - max_10cogu - Time-maximum 10 metre convective gust 237389: - max_10tugu - Time-maximum 10 metre turbulent gust 237390: - max_h0thg - Time-maximum geometric height of 0 degrees C theta level above ground 237391: - max_h1thg - Time-maximum geometric height of 1 degree C theta level above ground 237392: - max_h1p5thg - Time-maximum geometric height of 1.5 degrees C theta level above ground 237393: - max_veg - Time-maximum vegetation 237394: - max_lai - Time-maximum leaf area index 237395: - max_srhe - Time-maximum surface roughness for heat 237396: - max_rol - Time-maximum Reciprocal Obukhov length 237397: - max_deg3l - Time-maximum geometric height of 3 degrees C atmospheric isothermal level above ground 237404: - max_sdifswrfcs - Time-maximum surface diffuse short-wave radiation flux, clear sky 237405: - max_vswrz - Time-maximum volumetric soil moisture (root zone) 237406: - max_lwcs - Time-maximum liquid water content in snow pack 237407: - max_mucin - Time-maximum most-unstable CIN 237408: - max_crwc_conv - Time-maximum specific rain water content (convective) 237409: - max_cswc_conv - Time-maximum specific snow water content (convective) 237410: - max_mld - Time-maximum mixed layer depth 237411: - max_cur - Time-maximum urban cover 237416: - max_ws10thr - Time-maximum Wind speed threshold for wind erosion 238001: - min_ttswr - Time-minimum temperature tendency due to short-wave radiation 238002: - min_ttlwr - Time-minimum temperature tendency due to long-wave radiation 238003: - min_ttswrcs - Time-minimum temperature tendency due to short wave radiation, clear sky 238004: - min_ttlwrcs - Time-minimum temperature tendency due to long-wave radiation, clear sky 238005: - min_ttpm - Time-minimum temperature tendency due to parametrisations 238006: - min_qtpm - Time-minimum specific humidity tendency due to parametrisations 238007: - min_utpm - Time-minimum eastward wind tendency due to parametrisations 238008: - min_vtpm - Time-minimum northward wind tendency due to parametrisations 238009: - min_umf - Time-minimum updraught mass flux 238010: - min_dmf - Time-minimum downdraught mass flux 238011: - min_udr - Time-minimum updraught detrainment rate 238012: - min_ddr - Time-minimum downdraught detrainment rate 238013: - min_tpf - Time-minimum total precipitation flux 238014: - min_tdch - Time-minimum turbulent diffusion coefficient for heat 238022: - min_parcsf - Time-minimum surface photosynthetically active radiation flux, clear sky 238023: - min_esrwe - Time-minimum snow evaporation rate 238024: - min_smr - Time-minimum snowmelt rate 238025: - min_imagss - Time-minimum magnitude of turbulent surface stress 238026: - min_ilspf - Time-minimum large-scale precipitation fraction 238027: - min_sduvrf - Time-minimum surface downward UV radiation flux 238028: - min_sparf - Time-minimum surface photosynthetically active radiation flux 238029: - min_lsprate - Time-minimum large-scale precipitation rate 238030: - min_cpr - Time-minimum convective precipitation rate 238031: - min_tsrwe - Time-minimum snowfall rate 238032: - min_ibld - Time-minimum boundary layer dissipation 238033: - min_ishf - Time-minimum surface sensible heat flux 238034: - min_slhtf - Time-minimum surface latent heat flux 238035: - min_sdswrf - Time-minimum surface downward short-wave radiation flux 238036: - min_sdlwrf - Time-minimum surface downward long-wave radiation flux 238037: - min_snswrf - Time-minimum surface net short-wave radiation flux 238038: - min_snlwrf - Time-minimum surface net long-wave radiation flux 238039: - min_tnswrf - Time-minimum top net short-wave radiation flux 238040: - min_tnlwrf - Time-minimum top net long-wave radiation flux 238041: - min_iews - Time-minimum eastward turbulent surface stress 238042: - min_inss - Time-minimum northward turbulent surface stress 238043: - min_ie - Time-minimum evaporation rate 238045: - min_iegwss - Time-minimum eastward gravity wave surface stress 238046: - min_ingwss - Time-minimum northward gravity wave surface stress 238047: - min_igwd - Time-minimum gravity wave dissipation 238048: - min_rorwe - Time-minimum runoff rate 238049: - min_tnswrfcs - Time-minimum top net short-wave radiation flux, clear sky 238050: - min_tnlwrfcs - Time-minimum top net long-wave radiation flux, clear sky 238051: - min_snswrfcs - Time-minimum surface net short-wave radiation flux, clear sky 238052: - min_snlwrfcs - Time-minimum surface net long-wave radiation flux, clear sky 238053: - min_tdswrf - Time-minimum top downward short-wave radiation flux 238054: - min_vimdf - Time-minimum vertically integrated moisture divergence 238055: - min_tprate - Time-minimum total precipitation rate 238056: - min_csfr - Time-minimum convective snowfall rate water equivalent 238057: - min_lssfr - Time-minimum large scale snowfall rate water equivalent 238058: - min_sdirswrf - Time-minimum surface direct short-wave radiation flux 238059: - min_sdirswrfcs - Time-minimum surface direct short-wave radiation flux, clear sky 238062: - min_fco2nee - Time-minimum carbon dioxide net ecosystem exchange flux 238063: - min_fco2gpp - Time-minimum carbon dioxide gross primary production flux 238064: - min_fco2rec - Time-minimum carbon dioxide ecosystem respiration flux 238068: - min_sdswrfcs - Time-minimum surface downward short-wave radiation flux, clear sky 238069: - min_sdlwrfcs - Time-minimum surface downward long-wave radiation flux, clear sky 238070: - min_pevr - Time-minimum potential evaporation rate 238077: - min_vsw - Time-minimum volumetric soil moisture 238078: - min_sd - Time-minimum snow depth water equivalent 238079: - min_skt - Time-minimum skin temperature 238080: - min_rsn - Time-minimum snow density 238083: - min_ci - Time-minimum sea ice area fraction 238084: - min_sst - Time-minimum sea surface temperature 238085: - min_lai_lv - Time-minimum leaf area index, low vegetation 238086: - min_lai_hv - Time-minimum leaf area index, high vegetation 238087: - min_tclw - Time-minimum total column cloud liquid water 238088: - min_tciw - Time-minimum total column cloud ice water 238089: - min_2sh - Time-minimum 2 metre specific humidity 238090: - min_lmlt - Time-minimum lake mix-layer temperature 238091: - min_lmld - Time-minimum lake mix-layer depth 238092: - min_2r - Time-minimum 2 metre relative humidity 238093: - min_fscov - Time-minimum fraction of snow cover 238094: - min_sot - Time-minimum soil temperature 238097: - min_ws - Time-minimum wind speed 238098: - min_pres - Time-minimum pressure 238099: - min_chnk - Time-minimum charnock 238100: - min_pv - Time-minimum potential vorticity 238101: - min_crwc - Time-minimum specific rain water content 238102: - min_cswc - Time-minimum specific snow water content 238103: - min_etadot - Time-minimum eta-coordinate vertical velocity 238105: - min_vis - Time-minimum visibility 238106: - min_wdir - Time-minimum wind direction 238107: - min_tcsw - Time-minimum total column snow water 238108: - min_lcc - Time-minimum low cloud cover 238109: - min_mcc - Time-minimum medium cloud cover 238110: - min_hcc - Time-minimum high cloud cover 238111: - min_tcrw - Time-minimum total column rain water 238117: - min_mucape - Time-minimum most-unstable CAPE 238120: - min_tcolg - Time-minimum total column vertically-integrated graupel (snow pellets) 238129: - min_z - Time-minimum geopotential 238130: - min_t - Time-minimum temperature 238131: - min_u - Time-minimum u component of wind 238132: - min_v - Time-minimum v component of wind 238133: - min_q - Time-minimum specific humidity 238134: - min_sp - Time-minimum surface pressure 238135: - min_w - Time-minimum vertical velocity 238136: - min_tcw - Time-minimum total column water 238137: - min_tcwv - Time-minimum total column vertically-integrated water vapour 238138: - min_vo - Time-minimum vorticity (relative) 238151: - min_msl - Time-minimum mean sea level pressure 238152: - min_lnsp - Time-minimum logarithm of surface pressure 238155: - min_d - Time-minimum divergence 238157: - min_r - Time-minimum relative humidity 238159: - min_blh - Time-minimum boundary layer height 238165: - min_10u - Time-minimum 10 metre U wind component 238166: - min_10v - Time-minimum 10 metre V wind component 238167: - min_2t - Time-minimum 2 metre temperature 238168: - min_2d - Time-minimum 2 metre dewpoint temperature 238189: - min_suns - Time-minimum sunshine 238203: - min_o3 - Time-minimum ozone mass mixing ratio 238207: - min_10si - Time-minimum 10 metre wind speed 238238: - min_tsn - Time-minimum temperature of snow layer 238244: - min_fsr - Time-minimum forecast surface roughness 238245: - min_flsr - Time-minimum forecast logarithm of surface roughness for heat 238246: - min_clwc - Time-minimum specific cloud liquid water content 238247: - min_ciwc - Time-minimum specific cloud ice water content 238248: - min_cc - Time-minimum fraction of cloud cover 238257: - min_kx - Time-minimum k index 238258: - min_totalx - Time-minimum total totals index 238261: - min_10wdir - Time-minimum 10 metre wind direction 238262: - min_cat - Time-minimum clear air turbulence (CAT) 238263: - min_al - Time-minimum forecast albedo 238269: - min_pt - Time-minimum potential temperature 238281: - min_aluvp_p - Time-minimum UV visible albedo for direct radiation (climatological) 238282: - min_aluvd_p - Time-minimum UV visible albedo for diffuse radiation (climatological) 238283: - min_alnip_p - Time-minimum near IR albedo for direct radiation (climatological) 238284: - min_alnid_p - Time-minimum near IR albedo for diffuse radiation (climatological) 238285: - min_asn - Time-minimum snow albedo 238286: - min_mont - Time-minimum montgomery potential 238287: - min_cape - Time-minimum convective available potential energy 238288: - min_tcc - Time-minimum total cloud cover 238289: - min_srcon - Time-minimum skin reservoir content 238290: - min_tcioz - Time-minimum total column integrated ozone 238291: - min_vike - Time-minimum total column vertically-integrated kinetic energy 238292: - min_vithe - Time-minimum total column vertically-integrated enthalpy 238293: - min_vipie - Time-minimum total column vertically-integrated potential + internal energy 238294: - min_vipile - Time-minimum vertical integral of potential+internal+latent energy 238295: - min_vitoe - Time-minimum total column vertically-integrated total energy 238296: - min_viwe - Time-minimum total column vertically-integrated water enthalpy 238297: - min_aluvpi_p - Time-minimum UV visible albedo for direct radiation, isotropic component (climatological) 238298: - min_aluvpv_p - Time-minimum UV visible albedo for direct radiation, volumetric component (climatological) 238299: - min_aluvpg_p - Time-minimum UV visible albedo for direct radiation, geometric component (climatological) 238300: - min_alnipi_p - Time-minimum near IR albedo for direct radiation, isotropic component (climatological) 238301: - min_alnipv_p - Time-minimum near IR albedo for direct radiation, volumetric component (climatological) 238302: - min_alnipg_p - Time-minimum near IR albedo for direct radiation, geometric component (climatological) 238303: - min_cin - Time-minimum convective inhibition 238304: - min_zust - Time-minimum friction velocity 238305: - min_lblt - Time-minimum lake bottom temperature 238306: - min_ltlt - Time-minimum lake total layer temperature 238307: - min_lshf - Time-minimum lake shape factor 238308: - min_lict - Time-minimum lake ice surface temperature 238309: - min_licd - Time-minimum lake ice total depth 238310: - min_dndzn - Time-minimum minimum vertical gradient of refractivity inside trapping layer 238311: - min_dndza - Time-minimum mean vertical gradient of refractivity inside trapping layer 238312: - min_dctb - Time-minimum duct base height 238313: - min_tplb - Time-minimum trapping layer base height 238314: - min_tplt - Time-minimum trapping layer top height 238315: - min_degm10l - Time-minimum geometric height of -10 degrees C atmospheric isothermal level above ground 238316: - min_cbh - Time-minimum cloud base height 238317: - min_deg0l - Time-minimum geometric height of 0 degrees C atmospheric isothermal level above ground 238318: - min_i10fg - Time-minimum 10 metre wind gust 238319: - min_rhw - Time-minimum relative humidity with respect to water 238320: - min_2rhw - Time-minimum 2 metre relative humidity with respect to water 238321: - min_capes - Time-minimum convective available potential energy shear 238322: - min_trpp - Time-minimum tropopause pressure 238323: - min_hcct - Time-minimum height of convective cloud top 238324: - min_hwbt0 - Time-minimum height of zero-degree wet-bulb temperature 238325: - min_hwbt1 - Time-minimum height of one-degree wet-bulb temperature 238326: - min_litoti - Time-minimum total lightning flash density 238327: - min_tcslw - Time-minimum total column supercooled liquid water 238328: - min_u10n - Time-minimum 10 metre U-component of neutral wind 238329: - min_v10n - Time-minimum 10 metre V-component of neutral wind 238330: - min_crr - Time-minimum convective rain rate 238331: - min_lsrr - Time-minimum large scale rain rate 238332: - min_mlcape50 - Time-minimum mixed-layer CAPE in the lowest 50 hPa 238333: - min_mlcin50 - Time-minimum mixed-layer CIN in the lowest 50 hPa 238334: - min_mlcape100 - Time-minimum mixed-layer CAPE in the lowest 100 hPa 238335: - min_mlcin100 - Time-minimum mixed-layer CIN in the lowest 100 hPa 238336: - min_mudlp - Time-minimum departure level of the most unstable parcel expressed as Pressure 238337: - min_ceil - Time-minimum ceiling 238338: - min_tcsqw - Time-minimum total column integrated saturation specific humidity with respect to water 238339: - min_sdirnswrf - Time-minimum direct solar radiation flux 238340: - min_cossza - Time-minimum cosine of solar zenith angle 238341: - min_fprate - Time-minimum freezing rain rate water equivalent 238342: - min_vige - Time-minimum total column vertically-integrated eastward geopotential flux 238343: - min_vign - Time-minimum total column vertically-integrated northward geopotential flux 238344: - min_viwgd - Time-minimum total column vertically-integrated divergence of water geopotential flux 238345: - min_vigd - Time-minimum total column vertically-integrated divergence of geopotential flux 238346: - min_viee - Time-minimum total column vertically-integrated eastward enthalpy flux 238347: - min_vien - Time-minimum total column vertically-integrated northward enthalpy flux 238348: - min_vikee - Time-minimum total column vertically-integrated eastward kinetic energy flux 238349: - min_viken - Time-minimum total column vertically-integrated northward kinetic energy flux 238350: - min_vitee - Time-minimum total column vertically-integrated eastward total energy flux 238351: - min_viten - Time-minimum total column vertically-integrated northward total energy flux 238352: - min_vied - Time-minimum total column vertically-integrated divergence of enthalpy flux 238353: - min_viked - Time-minimum total column vertically-integrated divergence of kinetic energy flux 238354: - min_vited - Time-minimum total column vertically-integrated divergence of total energy flux 238355: - min_viwed - Time-minimum total column vertically-integrated divergence of water enthalpy flux 238356: - min_vimad - Time-minimum vertically integrated divergence of mass flux 238357: - min_vimae - Time-minimum vertically integrated eastward mass flux 238358: - min_viman - Time-minimum vertically integrated northward mass flux 238359: - min_viwvd - Time-minimum vertically integrated divergence of water vapour flux 238360: - min_viclwd - Time-minimum vertically integrated divergence of cloud liquid water flux 238361: - min_viciwd - Time-minimum vertically integrated divergence of cloud ice water flux 238362: - min_vird - Time-minimum vertically integrated divergence of rain flux 238363: - min_visd - Time-minimum vertically integrated divergence of snow flux 238364: - min_viwve - Time-minimum vertically integrated eastward water vapour flux 238365: - min_viwvn - Time-minimum vertically integrated northward water vapour flux 238366: - min_viclwe - Time-minimum vertically integrated eastward cloud liquid water flux 238367: - min_viclwn - Time-minimum vertically integrated northward cloud liquid water flux 238368: - min_viciwe - Time-minimum vertically integrated eastward cloud ice water flux 238369: - min_viciwn - Time-minimum vertically integrated northward cloud ice water flux 238370: - min_vire - Time-minimum vertically integrated eastward rain flux 238371: - min_virn - Time-minimum vertically integrated northward rain flux 238372: - min_vise - Time-minimum vertically integrated eastward snow flux 238373: - min_visn - Time-minimum vertically integrated northward snow flux 238374: - min_vioze - Time-minimum vertically integrated eastward ozone flux 238375: - min_viozn - Time-minimum vertically integrated northward ozone flux 238376: - min_viozd - Time-minimum vertically integrated divergence of ozone flux 238377: - min_vions - Time-minimum vertically integrated net source of ozone 238378: - min_ietssofd - Time-minimum eastward turbulent surface stress due to orographic form drag 238379: - min_intssofd - Time-minimum northward turbulent surface stress due to orographic form drag 238380: - min_ietsssr - Time-minimum eastward turbulent surface stress due to surface roughness 238381: - min_intsssr - Time-minimum northward turbulent surface stress due to surface roughness 238382: - min_visp - Time-minimum visibility through precipitation 238383: - min_licgi - Time-minimum cloud-to-ground lightning flash density 238386: - min_lshnf - Time-minimum land surface heat net flux 238387: - min_sdirnswrfcs - Time-minimum surface direct normal short-wave radiation flux, clear sky 238388: - min_10cogu - Time-minimum 10 metre convective gust 238389: - min_10tugu - Time-minimum 10 metre turbulent gust 238390: - min_h0thg - Time-minimum geometric height of 0 degrees C theta level above ground 238391: - min_h1thg - Time-minimum geometric height of 1 degree C theta level above ground 238392: - min_h1p5thg - Time-minimum geometric height of 1.5 degrees C theta level above ground 238393: - min_veg - Time-minimum vegetation 238394: - min_lai - Time-minimum leaf area index 238395: - min_srhe - Time-minimum surface roughness for heat 238396: - min_rol - Time-minimum Reciprocal Obukhov length 238397: - min_deg3l - Time-minimum geometric height of 3 degrees C atmospheric isothermal level above ground 238404: - min_sdifswrfcs - Time-minimum surface diffuse short-wave radiation flux, clear sky 238405: - min_vswrz - Time-minimum volumetric soil moisture (root zone) 238406: - min_lwcs - Time-minimum liquid water content in snow pack 238407: - min_mucin - Time-minimum most-unstable CIN 238408: - min_crwc_conv - Time-minimum specific rain water content (convective) 238409: - min_cswc_conv - Time-minimum specific snow water content (convective) 238410: - min_mld - Time-minimum mixed layer depth 238411: - min_cur - Time-minimum urban cover 238416: - min_ws10thr - Time-minimum Wind speed threshold for wind erosion 239001: - std_ttswr - Time-standard-deviation temperature tendency due to short-wave radiation 239002: - std_ttlwr - Time-standard-deviation temperature tendency due to long-wave radiation 239003: - std_ttswrcs - Time-standard-deviation temperature tendency due to short wave radiation, clear sky 239004: - std_ttlwrcs - Time-standard-deviation temperature tendency due to long-wave radiation, clear sky 239005: - std_ttpm - Time-standard-deviation temperature tendency due to parametrisations 239006: - std_qtpm - Time-standard-deviation specific humidity tendency due to parametrisations 239007: - std_utpm - Time-standard-deviation eastward wind tendency due to parametrisations 239008: - std_vtpm - Time-standard-deviation northward wind tendency due to parametrisations 239009: - std_umf - Time-standard-deviation updraught mass flux 239010: - std_dmf - Time-standard-deviation downdraught mass flux 239011: - std_udr - Time-standard-deviation updraught detrainment rate 239012: - std_ddr - Time-standard-deviation downdraught detrainment rate 239013: - std_tpf - Time-standard-deviation total precipitation flux 239014: - std_tdch - Time-standard-deviation turbulent diffusion coefficient for heat 239022: - std_parcsf - Time-standard-deviation surface photosynthetically active radiation flux, clear sky 239023: - std_esrwe - Time-standard-deviation snow evaporation rate 239024: - std_smr - Time-standard-deviation snowmelt rate 239025: - std_imagss - Time-standard-deviation magnitude of turbulent surface stress 239026: - std_ilspf - Time-standard-deviation large-scale precipitation fraction 239027: - std_sduvrf - Time-standard-deviation surface downward UV radiation flux 239028: - std_sparf - Time-standard-deviation surface photosynthetically active radiation flux 239029: - std_lsprate - Time-standard-deviation large-scale precipitation rate 239030: - std_cpr - Time-standard-deviation convective precipitation rate 239031: - std_tsrwe - Time-standard-deviation snowfall rate 239032: - std_ibld - Time-standard-deviation boundary layer dissipation 239033: - std_ishf - Time-standard-deviation surface sensible heat flux 239034: - std_slhtf - Time-standard-deviation surface latent heat flux 239035: - std_sdswrf - Time-standard-deviation surface downward short-wave radiation flux 239036: - std_sdlwrf - Time-standard-deviation surface downward long-wave radiation flux 239037: - std_snswrf - Time-standard-deviation surface net short-wave radiation flux 239038: - std_snlwrf - Time-standard-deviation surface net long-wave radiation flux 239039: - std_tnswrf - Time-standard-deviation top net short-wave radiation flux 239040: - std_tnlwrf - Time-standard-deviation top net long-wave radiation flux 239041: - std_iews - Time-standard-deviation eastward turbulent surface stress 239042: - std_inss - Time-standard-deviation northward turbulent surface stress 239043: - std_ie - Time-standard-deviation evaporation rate 239045: - std_iegwss - Time-standard-deviation eastward gravity wave surface stress 239046: - std_ingwss - Time-standard-deviation northward gravity wave surface stress 239047: - std_igwd - Time-standard-deviation gravity wave dissipation 239048: - std_rorwe - Time-standard-deviation runoff rate 239049: - std_tnswrfcs - Time-standard-deviation top net short-wave radiation flux, clear sky 239050: - std_tnlwrfcs - Time-standard-deviation top net long-wave radiation flux, clear sky 239051: - std_snswrfcs - Time-standard-deviation surface net short-wave radiation flux, clear sky 239052: - std_snlwrfcs - Time-standard-deviation surface net long-wave radiation flux, clear sky 239053: - std_tdswrf - Time-standard-deviation top downward short-wave radiation flux 239054: - std_vimdf - Time-standard-deviation vertically integrated moisture divergence 239055: - std_tprate - Time-standard-deviation total precipitation rate 239056: - std_csfr - Time-standard-deviation convective snowfall rate water equivalent 239057: - std_lssfr - Time-standard-deviation large scale snowfall rate water equivalent 239058: - std_sdirswrf - Time-standard-deviation surface direct short-wave radiation flux 239059: - std_sdirswrfcs - Time-standard-deviation surface direct short-wave radiation flux, clear sky 239062: - std_fco2nee - Time-standard-deviation carbon dioxide net ecosystem exchange flux 239063: - std_fco2gpp - Time-standard-deviation carbon dioxide gross primary production flux 239064: - std_fco2rec - Time-standard-deviation carbon dioxide ecosystem respiration flux 239068: - std_sdswrfcs - Time-standard-deviation surface downward short-wave radiation flux, clear sky 239069: - std_sdlwrfcs - Time-standard-deviation surface downward long-wave radiation flux, clear sky 239070: - std_pevr - Time-standard-deviation potential evaporation rate 239077: - std_vsw - Time-standard-deviation volumetric soil moisture 239078: - std_sd - Time-standard-deviation snow depth water equivalent 239079: - std_skt - Time-standard-deviation skin temperature 239080: - std_rsn - Time-standard-deviation snow density 239083: - std_ci - Time-standard-deviation sea ice area fraction 239084: - std_sst - Time-standard-deviation sea surface temperature 239085: - std_lai_lv - Time-standard-deviation leaf area index, low vegetation 239086: - std_lai_hv - Time-standard-deviation leaf area index, high vegetation 239087: - std_tclw - Time-standard-deviation total column cloud liquid water 239088: - std_tciw - Time-standard-deviation total column cloud ice water 239089: - std_2sh - Time-standard-deviation 2 metre specific humidity 239090: - std_lmlt - Time-standard-deviation lake mix-layer temperature 239091: - std_lmld - Time-standard-deviation lake mix-layer depth 239093: - std_fscov - Time-standard-deviation fraction of snow cover 239094: - std_sot - Time-standard-deviation soil temperature 239097: - std_ws - Time-standard-deviation wind speed 239098: - std_pres - Time-standard-deviation pressure 239099: - std_chnk - Time-standard-deviation charnock 239100: - std_pv - Time-standard-deviation potential vorticity 239101: - std_crwc - Time-standard-deviation specific rain water content 239102: - std_cswc - Time-standard-deviation specific snow water content 239103: - std_etadot - Time-standard-deviation eta-coordinate vertical velocity 239105: - std_vis - Time-standard-deviation visibility 239106: - std_wdir - Time-standard-deviation wind direction 239107: - std_tcsw - Time-standard-deviation total column snow water 239108: - std_lcc - Time-standard-deviation low cloud cover 239109: - std_mcc - Time-standard-deviation medium cloud cover 239110: - std_hcc - Time-standard-deviation high cloud cover 239111: - std_tcrw - Time-standard-deviation total column rain water 239117: - std_mucape - Time-standard-deviation most-unstable CAPE 239120: - std_tcolg - Time-standard-deviation total column vertically-integrated graupel (snow pellets) 239129: - std_z - Time-standard-deviation geopotential 239130: - std_t - Time-standard-deviation temperature 239131: - std_u - Time-standard-deviation u component of wind 239132: - std_v - Time-standard-deviation v component of wind 239133: - std_q - Time-standard-deviation specific humidity 239134: - std_sp - Time-standard-deviation surface pressure 239135: - std_w - Time-standard-deviation vertical velocity 239136: - std_tcw - Time-standard-deviation total column water 239137: - std_tcwv - Time-standard-deviation total column vertically-integrated water vapour 239138: - std_vo - Time-standard-deviation vorticity (relative) 239151: - std_msl - Time-standard-deviation mean sea level pressure 239152: - std_lnsp - Time-standard-deviation logarithm of surface pressure 239155: - std_d - Time-standard-deviation divergence 239157: - std_r - Time-standard-deviation relative humidity 239159: - std_blh - Time-standard-deviation boundary layer height 239165: - std_10u - Time-standard-deviation 10 metre U wind component 239166: - std_10v - Time-standard-deviation 10 metre V wind component 239167: - std_2t - Time-standard-deviation 2 metre temperature 239168: - std_2d - Time-standard-deviation 2 metre dewpoint temperature 239189: - std_suns - Time-standard-deviation sunshine 239203: - std_o3 - Time-standard-deviation ozone mass mixing ratio 239207: - std_10si - Time-standard-deviation 10 metre wind speed 239238: - std_tsn - Time-standard-deviation temperature of snow layer 239244: - std_fsr - Time-standard-deviation forecast surface roughness 239245: - std_flsr - Time-standard-deviation forecast logarithm of surface roughness for heat 239246: - std_clwc - Time-standard-deviation specific cloud liquid water content 239247: - std_ciwc - Time-standard-deviation specific cloud ice water content 239248: - std_cc - Time-standard-deviation fraction of cloud cover 239257: - std_kx - Time-standard-deviation k index 239258: - std_totalx - Time-standard-deviation total totals index 239261: - std_10wdir - Time-standard-deviation 10 metre wind direction 239262: - std_cat - Time-standard-deviation clear air turbulence (CAT) 239263: - std_al - Time-standard-deviation forecast albedo 239269: - std_pt - Time-standard-deviation potential temperature 239281: - std_aluvp_p - Time-standard-deviation UV visible albedo for direct radiation (climatological) 239282: - std_aluvd_p - Time-standard-deviation UV visible albedo for diffuse radiation (climatological) 239283: - std_alnip_p - Time-standard-deviation near IR albedo for direct radiation (climatological) 239284: - std_alnid_p - Time-standard-deviation near IR albedo for diffuse radiation (climatological) 239285: - std_asn - Time-standard-deviation snow albedo 239286: - std_mont - Time-standard-deviation montgomery potential 239287: - std_cape - Time-standard-deviation convective available potential energy 239288: - std_tcc - Time-standard-deviation total cloud cover 239289: - std_srcon - Time-standard-deviation skin reservoir content 239290: - std_tcioz - Time-standard-deviation total column integrated ozone 239291: - std_vike - Time-standard-deviation total column vertically-integrated kinetic energy 239292: - std_vithe - Time-standard-deviation total column vertically-integrated enthalpy 239293: - std_vipie - Time-standard-deviation total column vertically-integrated potential + internal energy 239294: - std_vipile - Time-standard-deviation vertical integral of potential+internal+latent energy 239295: - std_vitoe - Time-standard-deviation total column vertically-integrated total energy 239296: - std_viwe - Time-standard-deviation total column vertically-integrated water enthalpy 239297: - std_aluvpi_p - Time-standard-deviation UV visible albedo for direct radiation, isotropic component (climatological) 239298: - std_aluvpv_p - Time-standard-deviation UV visible albedo for direct radiation, volumetric component (climatological) 239299: - std_aluvpg_p - Time-standard-deviation UV visible albedo for direct radiation, geometric component (climatological) 239300: - std_alnipi_p - Time-standard-deviation near IR albedo for direct radiation, isotropic component (climatological) 239301: - std_alnipv_p - Time-standard-deviation near IR albedo for direct radiation, volumetric component (climatological) 239302: - std_alnipg_p - Time-standard-deviation near IR albedo for direct radiation, geometric component (climatological) 239303: - std_cin - Time-standard-deviation convective inhibition 239304: - std_zust - Time-standard-deviation friction velocity 239305: - std_lblt - Time-standard-deviation lake bottom temperature 239306: - std_ltlt - Time-standard-deviation lake total layer temperature 239307: - std_lshf - Time-standard-deviation lake shape factor 239308: - std_lict - Time-standard-deviation lake ice surface temperature 239309: - std_licd - Time-standard-deviation lake ice total depth 239310: - std_dndzn - Time-standard-deviation minimum vertical gradient of refractivity inside trapping layer 239311: - std_dndza - Time-standard-deviation mean vertical gradient of refractivity inside trapping layer 239312: - std_dctb - Time-standard-deviation duct base height 239313: - std_tplb - Time-standard-deviation trapping layer base height 239314: - std_tplt - Time-standard-deviation trapping layer top height 239315: - std_degm10l - Time-standard-deviation geometric height of -10 degrees C atmospheric isothermal level above ground 239316: - std_cbh - Time-standard-deviation cloud base height 239317: - std_deg0l - Time-standard-deviation geometric height of 0 degrees C atmospheric isothermal level above ground 239318: - std_i10fg - Time-standard-deviation 10 metre wind gust 239319: - std_rhw - Time-standard-deviation relative humidity with respect to water 239320: - std_2rhw - Time-standard-deviation 2 metre relative humidity with respect to water 239321: - std_capes - Time-standard-deviation convective available potential energy shear 239322: - std_trpp - Time-standard-deviation tropopause pressure 239323: - std_hcct - Time-standard-deviation height of convective cloud top 239324: - std_hwbt0 - Time-standard-deviation height of zero-degree wet-bulb temperature 239325: - std_hwbt1 - Time-standard-deviation height of one-degree wet-bulb temperature 239326: - std_litoti - Time-standard-deviation total lightning flash density 239327: - std_tcslw - Time-standard-deviation total column supercooled liquid water 239328: - std_u10n - Time-standard-deviation 10 metre U-component of neutral wind 239329: - std_v10n - Time-standard-deviation 10 metre V-component of neutral wind 239330: - std_crr - Time-standard-deviation convective rain rate 239331: - std_lsrr - Time-standard-deviation large scale rain rate 239332: - std_mlcape50 - Time-standard-deviation mixed-layer CAPE in the lowest 50 hPa 239333: - std_mlcin50 - Time-standard-deviation mixed-layer CIN in the lowest 50 hPa 239334: - std_mlcape100 - Time-standard-deviation mixed-layer CAPE in the lowest 100 hPa 239335: - std_mlcin100 - Time-standard-deviation mixed-layer CIN in the lowest 100 hPa 239336: - std_mudlp - Time-standard-deviation departure level of the most unstable parcel expressed as Pressure 239337: - std_ceil - Time-standard-deviation ceiling 239338: - std_tcsqw - Time-standard-deviation total column integrated saturation specific humidity with respect to water 239339: - std_sdirnswrf - Time-standard-deviation direct solar radiation flux 239340: - std_cossza - Time-standard-deviation cosine of solar zenith angle 239341: - std_fprate - Time-standard-deviation freezing rain rate water equivalent 239342: - std_vige - Time-standard-deviation total column vertically-integrated eastward geopotential flux 239343: - std_vign - Time-standard-deviation total column vertically-integrated northward geopotential flux 239344: - std_viwgd - Time-standard-deviation total column vertically-integrated divergence of water geopotential flux 239345: - std_vigd - Time-standard-deviation total column vertically-integrated divergence of geopotential flux 239346: - std_viee - Time-standard-deviation total column vertically-integrated eastward enthalpy flux 239347: - std_vien - Time-standard-deviation total column vertically-integrated northward enthalpy flux 239348: - std_vikee - Time-standard-deviation total column vertically-integrated eastward kinetic energy flux 239349: - std_viken - Time-standard-deviation total column vertically-integrated northward kinetic energy flux 239350: - std_vitee - Time-standard-deviation total column vertically-integrated eastward total energy flux 239351: - std_viten - Time-standard-deviation total column vertically-integrated northward total energy flux 239352: - std_vied - Time-standard-deviation total column vertically-integrated divergence of enthalpy flux 239353: - std_viked - Time-standard-deviation total column vertically-integrated divergence of kinetic energy flux 239354: - std_vited - Time-standard-deviation total column vertically-integrated divergence of total energy flux 239355: - std_viwed - Time-standard-deviation total column vertically-integrated divergence of water enthalpy flux 239356: - std_vimad - Time-standard-deviation vertically integrated divergence of mass flux 239357: - std_vimae - Time-standard-deviation vertically integrated eastward mass flux 239358: - std_viman - Time-standard-deviation vertically integrated northward mass flux 239359: - std_viwvd - Time-standard-deviation vertically integrated divergence of water vapour flux 239360: - std_viclwd - Time-standard-deviation vertically integrated divergence of cloud liquid water flux 239361: - std_viciwd - Time-standard-deviation vertically integrated divergence of cloud ice water flux 239362: - std_vird - Time-standard-deviation vertically integrated divergence of rain flux 239363: - std_visd - Time-standard-deviation vertically integrated divergence of snow flux 239364: - std_viwve - Time-standard-deviation vertically integrated eastward water vapour flux 239365: - std_viwvn - Time-standard-deviation vertically integrated northward water vapour flux 239366: - std_viclwe - Time-standard-deviation vertically integrated eastward cloud liquid water flux 239367: - std_viclwn - Time-standard-deviation vertically integrated northward cloud liquid water flux 239368: - std_viciwe - Time-standard-deviation vertically integrated eastward cloud ice water flux 239369: - std_viciwn - Time-standard-deviation vertically integrated northward cloud ice water flux 239370: - std_vire - Time-standard-deviation vertically integrated eastward rain flux 239371: - std_virn - Time-standard-deviation vertically integrated northward rain flux 239372: - std_vise - Time-standard-deviation vertically integrated eastward snow flux 239373: - std_visn - Time-standard-deviation vertically integrated northward snow flux 239374: - std_vioze - Time-standard-deviation vertically integrated eastward ozone flux 239375: - std_viozn - Time-standard-deviation vertically integrated northward ozone flux 239376: - std_viozd - Time-standard-deviation vertically integrated divergence of ozone flux 239377: - std_vions - Time-standard-deviation vertically integrated net source of ozone 239378: - std_ietssofd - Time-standard-deviation eastward turbulent surface stress due to orographic form drag 239379: - std_intssofd - Time-standard-deviation northward turbulent surface stress due to orographic form drag 239380: - std_ietsssr - Time-standard-deviation eastward turbulent surface stress due to surface roughness 239381: - std_intsssr - Time-standard-deviation northward turbulent surface stress due to surface roughness 239383: - std_licgi - Time-standard-deviation cloud-to-ground lightning flash density 239386: - std_lshnf - Time-standard-deviation land surface heat net flux 239387: - std_sdirnswrfcs - Time-standard-deviation surface direct normal short-wave radiation flux, clear sky 239388: - std_10cogu - Time-standard-deviation 10 metre convective gust 239389: - std_10tugu - Time-standard-deviation 10 metre turbulent gust 239390: - std_h0thg - Time-standard-deviation geometric height of 0 degrees C theta level above ground 239391: - std_h1thg - Time-standard-deviation geometric height of 1 degree C theta level above ground 239392: - std_h1p5thg - Time-standard-deviation geometric height of 1.5 degrees C theta level above ground 239393: - std_veg - Time-standard-deviation vegetation 239394: - std_lai - Time-standard-deviation leaf area index 239395: - std_srhe - Time-standard-deviation surface roughness for heat 239396: - std_rol - Time-standard-deviation Reciprocal Obukhov length 239397: - std_deg3l - Time-standard-deviation geometric height of 3 degrees C atmospheric isothermal level above ground 239404: - std_sdifswrfcs - Time-standard-deviation surface diffuse short-wave radiation flux, clear sky 239405: - std_vswrz - Time-standard-deviation volumetric soil moisture (root zone) 239406: - std_lwcs - Time-standard-deviation liquid water content in snow pack 239407: - std_mucin - Time-standard-deviation most-unstable CIN 239408: - std_crwc_conv - Time-standard-deviation specific rain water content (convective) 239409: - std_cswc_conv - Time-standard-deviation specific snow water content (convective) 239410: - std_mld - Time-standard-deviation mixed layer depth 239411: - std_cur - Time-standard-deviation urban cover 239416: - std_ws10thr - Time-standard-deviation Wind speed threshold for wind erosion 240011: - chcross - Cross sectional area of flow in channel 240012: - chside - Side flow into river channel 240013: - dis - Discharge from rivers or streams 240014: - rivsto - River storage of water 240015: - fldsto - Floodplain storage of water 240016: - fldfrc - Water fraction 240017: - dslr - Days since last observation 240018: - frost - Frost index 240020: - woss - Depth of water on soil surface 240021: - tpups - Upstream accumulated precipitation 240022: - smups - Upstream accumulated snow melt 240023: - dis06 - Mean discharge in the last 6 hours 240024: - dis24 - Mean discharge in the last 24 hours 240026: - sd_elev - Snow depth at elevation bands 240028: - gwus - Groundwater upper storage 240029: - gwls - Groundwater lower storage 240030: - lakdph - Lake depth 240031: - rivdph - River depth 240032: - rivout - River outflow of water 240033: - fldout - Floodplain outflow of water 240034: - pthflw - Floodpath outflow of water 240035: - flddep - Floodplain depth 240036: - fldffr - Floodplain flooded fraction 240037: - fldfar - Floodplain flooded area 240038: - rivfr - River fraction 240039: - rivar - River area 240040: - rivcffr - Fraction of river coverage plus river related flooding 240041: - rivcfar - Area of river coverage plus river related flooding 240042: - wse - Water surface elevation 240043: - grfr - Groundwater return flow rate 240044: - rivfldsto - River and floodplain storage 240045: - darv - Depth-averaged river velocity 250001: - lat - Latitude 250002: - lon - Longitude 250003: - tlat - Latitude on T grid 250004: - tlon - Longitude on T grid 250005: - ulat - Latitude on U grid 250006: - ulon - Longitude on U grid 250007: - vlat - Latitude on V grid 250008: - vlon - Longitude on V grid 250009: - wlat - Latitude on W grid 250010: - wlon - Longitude on W grid 250011: - flat - Latitude on F grid 250012: - flon - Longitude on F grid 254001: - covar_t2m_swvl1 - Covariance between 2-metre temperature and volumetric soil water layer 1 254002: - covar_rh2m_swvl1 - Covariance between 2-metre relative humidity and volumetric soil water layer 1 254003: - covar_ssm_swvl1 - Covariance between surface soil moisture and volumetric soil water layer 1 254004: - covar_t2m_swvl2 - Covariance between 2-metre temperature and volumetric soil water layer 2 254005: - covar_rh2m_swvl2 - Covariance between 2-metre relative humidity and volumetric soil water layer 2 254006: - covar_ssm_swvl2 - Covariance between surface soil moisture and volumetric soil water layer 2 254007: - covar_t2m_swvl3 - Covariance between 2-metre temperature and volumetric soil water layer 3 254008: - covar_rh2m_swvl3 - Covariance between 2-metre relative humidity and volumetric soil water layer 3 254009: - covar_ssm_swvl3 - Covariance between surface soil moisture and volumetric soil water layer 3 254010: - covar_t2m_stl1 - Covariance between 2-metre temperature and soil temperature layer 1 254011: - covar_rh2m_stl1 - Covariance between 2-metre relative humidity and soil temperature layer 1 254012: - covar_t2m_stl2 - Covariance between 2-metre temperature and soil temperature layer 2 254013: - covar_rh2m_stl2 - Covariance between 2-metre relative humidity and soil temperature layer 2 254014: - covar_t2m_stl3 - Covariance between 2-metre temperature and soil temperature layer 3 254015: - covar_rh2m_stl3 - Covariance between 2-metre relative humidity and soil temperature layer 3 254016: - covar_t2m_tsn1 - Covariance between 2-metre temperature and temperature of snow layer 1 254017: - covar_rh2m_tsn1 - Covariance between 2-metre relative humidity and temperature of snow layer 1 254018: - covar_t2m_tsn2 - Covariance between 2-metre temperature and temperature of snow layer 2 254019: - covar_rh2m_tsn2 - Covariance between 2-metre relative humidity and temperature of snow layer 2 254020: - covar_t2m_tsn3 - Covariance between 2-metre temperature and temperature of snow layer 3 254021: - covar_rh2m_tsn3 - Covariance between 2-metre relative humidity and temperature of snow layer 3 254022: - covar_skt_stl1 - Covariance between skin temperature and soil temperature layer 1 254023: - covar_skt_stl2 - Covariance between skin temperature and soil temperature layer 2 254024: - covar_skt_stl3 - Covariance between skin temperature and soil temperature layer 3 254025: - covar_skt_swvl1 - Covariance between skin temperature and volumetric soil water layer 1 254026: - covar_skt_swvl2 - Covariance between skin temperature and volumetric soil water layer 2 254027: - covar_skt_swvl3 - Covariance between skin temperature and volumetric soil water layer 3 254028: - covar_skt_tsn1 - Covariance between skin temperature and temperature of snow layer 1 254029: - covar_skt_tsn2 - Covariance between skin temperature and temperature of snow layer 2 254030: - covar_skt_tsn3 - Covariance between skin temperature and temperature of snow layer 3 254500: - curvmsl - CURV diagnostic mean sea level pressure 254501: - curvz - CURV diagnostic geopotential 260001: - tcolg - Total column vertically-integrated graupel (snow pellets) 260002: - slhtf - Surface latent heat net flux 260004: - heatx - Heat index 260005: - wcf - Wind chill factor 260006: - mindpd - Minimum dew point depression 260007: - snohf - Snow phase change heat flux 260008: - vapp - Vapor pressure 260009: - ncpcp - Large scale precipitation (non-convective) 260010: - srweq - Snowfall rate water equivalent 260011: - snoc - Convective snow 260012: - snol - Large scale snow 260013: - snoag - Snow age 260014: - absh - Absolute humidity 260015: - ptype - Precipitation type 260016: - iliqw - Integrated liquid water 260017: - tcond - Condensate 260018: - clwmr - Cloud mixing ratio 260019: - icmr - Ice water mixing ratio 260020: - rwmr - Rain mixing ratio 260021: - snmr - Snow mixing ratio 260022: - mconv - Horizontal moisture convergence 260023: - maxrh - Maximum relative humidity 260024: - maxah - Maximum absolute humidity 260025: - asnow - Total snowfall 260026: - pwcat - Precipitable water category 260027: - hail 260028: - grle - Graupel (snow pellets) 260029: - crain - Categorical rain 260030: - cfrzr - Categorical freezing rain 260031: - cicep - Categorical ice pellets 260032: - csnow - Categorical snow 260033: - cpr - Convective precipitation rate 260034: - mdiv - Horizontal moisture divergence 260035: - cpofp - Percent frozen precipitation 260036: - pevap - Potential evaporation 260038: - snowc - Snow cover 260039: - frain - Rain fraction of total cloud water 260040: - rime - Rime factor 260041: - tcolr - Total column integrated rain 260042: - tcols - Total column integrated snow 260043: - lswp - Large scale water precipitation (non-convective) 260044: - cwp - Convective water precipitation 260045: - twatp - Total water precipitation 260046: - tsnowp - Total snow precipitation 260047: - tcwat - Total column water (Vertically integrated total water (vapour + cloud water/ice)) 260048: - tprate - Total precipitation rate 260049: - tsrwe - Total snowfall rate water equivalent 260050: - lsprate - Large scale precipitation rate 260053: - tsrate - Total snowfall rate 260054: - csrate - Convective snowfall rate 260055: - lssrate - Large scale snowfall rate 260056: - sdwe - Water equivalent of accumulated snow depth (deprecated) 260057: - tciwv - Total column integrated water vapour 260058: - rprate - Rain precipitation rate 260059: - sprate - Snow precipitation rate 260060: - fprate - Freezing rain precipitation rate 260061: - iprate - Ice pellets precipitation rate 260062: - uflx - Momentum flux, u component 260063: - vflx - Momentum flux, v component 260064: - maxgust - Maximum wind speed 260065: - gust - Wind speed (gust) 260066: - ugust - u-component of wind (gust) 260067: - vgust - v-component of wind (gust) 260068: - vwsh - Vertical speed shear 260069: - mflx - Horizontal momentum flux 260070: - ustm - U-component storm motion 260071: - vstm - V-component storm motion 260072: - cd - Drag coefficient 260073: - fricv - Frictional velocity 260074: - prmsl - Pressure reduced to MSL 260076: - alts - Altimeter setting 260077: - thick - Thickness 260078: - presalt - Pressure altitude 260079: - denalt - Density altitude 260080: - 5wavh - 5-wave geopotential height 260081: - iegwss - Instantaneous eastward gravity wave surface stress 260082: - ingwss - Instantaneous northward gravity wave surface stress 260084: - 5wava - 5-wave geopotential height anomaly 260085: - sdsgso - Standard deviation of sub-grid scale orography 260086: - nswrt - Net short-wave radiation flux (top of atmosphere) 260087: - sdswrf - Surface downward short-wave radiation flux 260088: - suswrf - Surface upward short-wave radiation flux 260089: - snswrf - Surface net short-wave radiation flux 260090: - sparf - Surface photosynthetically active radiation flux 260091: - snswrfcs - Surface net short-wave radiation flux, clear sky 260092: - sduvrf - Surface downward UV radiation flux 260093: - uviucs - UV index (under clear sky) 260094: - uvi - UV index 260095: - nlwrs - Net long wave radiation flux (surface) 260096: - nlwrt - Net long wave radiation flux (top of atmosphere) 260097: - sdlwrf - Surface downward long-wave radiation flux 260098: - sulwrf - Surface upward long-wave radiation flux 260099: - snlwrf - Surface net long-wave radiation flux 260100: - snlwrfcs - Surface net long-wave radiation flux, clear sky 260101: - cice - Cloud Ice 260102: - cwat - Cloud water 260103: - cdca - Cloud amount 260104: - cdct - Cloud type 260105: - tmaxt - Thunderstorm maximum tops 260106: - thunc - Thunderstorm coverage 260107: - cdcb - Cloud base 260108: - cdct - Cloud top 260109: - ceil - Ceiling 260110: - cdlyr - Non-convective cloud cover 260111: - cwork - Cloud work function 260112: - cuefi - Convective cloud efficiency 260113: - tcond - Total condensate 260114: - tcolw - Total column-integrated cloud water 260115: - tcoli - Total column-integrated cloud ice 260116: - tcolc - Total column-integrated condensate 260117: - fice - Ice fraction of total condensate 260118: - cdcimr - Cloud ice mixing ratio 260119: - suns - Sunshine 260120: - _param_260120 - Horizontal extent of cumulonimbus (CB) 260121: - kx - K index 260122: - kox - KO index 260123: - totalx - Total totals index 260124: - sx - Sweat index 260125: - hlcy - Storm relative helicity 260126: - ehlx - Energy helicity index 260127: - lftx - Surface lifted index 260128: - 4lftx - Best (4-layer) lifted index 260129: - aerot - Aerosol type 260130: - tozne - Total ozone 260131: - o3mr - Ozone mixing ratio 260132: - tcioz - Total column integrated ozone 260133: - bswid - Base spectrum width 260134: - bref - Base reflectivity 260135: - brvel - Base radial velocity 260136: - veril - Vertically-integrated liquid 260137: - lmaxbr - Layer-maximum base reflectivity 260138: - rdp - Precipitation from radar 260139: - acces - Air concentration of Caesium 137 260140: - aciod - Air concentration of Iodine 131 260141: - acradp - Air concentration of radioactive pollutant 260142: - gdces - Ground deposition of Caesium 137 260143: - gdiod - Ground deposition of Iodine 131 260144: - gdradp - Ground deposition of radioactive pollutant 260145: - tiaccp - Time-integrated air concentration of caesium pollutant 260146: - tiacip - Time-integrated air concentration of iodine pollutant 260147: - tiacrp - Time-integrated air concentration of radioactive pollutant 260148: - volash - Volcanic ash 260149: - icit - Icing top 260150: - icib - Icing base 260151: - ici - Icing 260152: - turbt - Turbulence top 260153: - turbb - Turbulence base 260154: - turb - Turbulence 260155: - tke - Turbulent kinetic energy 260156: - pblreg - Planetary boundary layer regime 260157: - conti - Contrail intensity 260158: - contet - Contrail engine type 260159: - contt - Contrail top 260160: - contb - Contrail base 260161: - mxsalb - Maximum snow albedo 260162: - snfalb - Snow free albedo 260163: - _param_260163 - Icing 260164: - _param_260164 - In-cloud turbulence 260165: - rcat - Relative clear air turbulence (RCAT) 260166: - sldp - Supercooled large droplet probability 260167: - var190m0 - Arbitrary text string 260168: - tsec - Seconds prior to initial reference time (defined in Section 1) 260169: - ffldg - Flash flood guidance 260170: - ffldro - Flash flood runoff (Encoded as an accumulation over a floating subinterval of time) 260171: - rssc - Remotely sensed snow cover 260172: - esct - Elevation of snow covered terrain 260173: - swepon - Snow water equivalent percent of normal 260174: - bgrun - Baseflow-groundwater runoff 260175: - ssrun - Storm surface runoff 260176: - cppop - Conditional percent precipitation amount fractile for an overall period (Encoded as an accumulation) 260177: - pposp - Percent precipitation in a sub-period of an overall period 260178: - pop - Probability of 0.01 inch of precipitation (POP) 260180: - veg - Vegetation 260181: - watr - Water runoff 260182: - evapt - Evapotranspiration 260183: - mterh - Model terrain height 260184: - landu - Land use 260185: - soilw - Volumetric soil moisture content 260186: - gflux - Ground heat flux 260187: - mstav - Moisture availability 260188: - sfexc - Exchange coefficient 260189: - cnwat - Plant canopy surface water 260190: - bmixl - Blackadar mixing length scale 260191: - ccond - Canopy conductance 260192: - rsmin - Minimal stomatal resistance 260193: - rcs - Solar parameter in canopy conductance 260194: - rct - Temperature parameter in canopy conductance 260195: - rcsol - Soil moisture parameter in canopy conductance 260196: - rcq - Humidity parameter in canopy conductance 260197: - cisoilw - Column-integrated soil water 260198: - hflux - Heat flux 260199: - vsw - Volumetric soil moisture 260200: - vwiltm - Volumetric wilting point 260201: - uplst - Upper layer soil temperature 260202: - uplsm - Upper layer soil moisture 260203: - lowlsm - Lower layer soil moisture 260204: - botlst - Bottom layer soil temperature 260205: - soill - Liquid volumetric soil moisture (non-frozen) 260206: - rlyrs - Number of soil layers in root zone 260207: - smref - Transpiration stress-onset (soil moisture) 260208: - smdry - Direct evaporation cease (soil moisture) 260209: - poros - Soil porosity 260210: - liqvsm - Liquid volumetric soil moisture (non-frozen) 260211: - voltso - Volumetric transpiration stress-onset (soil moisture) 260212: - transo - Transpiration stress-onset (soil moisture) 260213: - voldec - Volumetric direct evaporation cease (soil moisture) 260214: - direc - Direct evaporation cease (soil moisture) 260215: - soilp - Soil porosity 260216: - vsosm - Volumetric saturation of soil moisture 260217: - satosm - Saturation of soil moisture 260218: - estp - Estimated precipitation 260219: - irrate - Instantaneous rain rate 260220: - ctoph - Cloud top height 260221: - ctophqi - Cloud top height quality indicator 260222: - estu - Estimated u component of wind 260223: - estv - Estimated v component of wind 260224: - npixu - Number of pixels used 260225: - solza - Solar zenith angle 260226: - raza - Relative azimuth angle 260227: - rfl06 - Reflectance in 0.6 micron channel 260228: - rfl08 - Reflectance in 0.8 micron channel 260229: - rfl16 - Reflectance in 1.6 micron channel 260230: - rfl39 - Reflectance in 3.9 micron channel 260231: - atmdiv - Atmospheric divergence 260232: - wvdir - Direction of wind waves 260233: - dirpw - Primary wave direction 260234: - perpw - Primary wave mean period 260235: - persw - Secondary wave mean period 260236: - dirc - Current direction 260237: - spc - Current speed 260238: - wz - Geometric vertical velocity 260241: - tsec - Seconds prior to initial reference time (defined in Section 1) 260242: - 2r - 2 metre relative humidity 260243: - ttrad - Temperature tendency by all radiation 260244: - rev - Relative Error Variance 260245: - lrghr - Large Scale Condensate Heating rate 260246: - cnvhr - Deep Convective Heating rate 260247: - thflx - Total Downward Heat Flux at Surface 260248: - ttdia - Temperature Tendency By All Physics 260249: - ttphy - Temperature Tendency By Non-radiation Physics 260250: - tsd1d - Standard Dev. of IR Temp. over 1x1 deg. area 260251: - shahr - Shallow Convective Heating rate 260252: - vdfhr - Vertical Diffusion Heating rate 260253: - thz0 - Potential temperature at top of viscous sublayer 260254: - tchp - Tropical Cyclone Heat Potential 260255: - aptmp - Apparent temperature 260256: - hindex - Haines Index 260257: - ccl - Cloud cover 260259: - eva - Evaporation 260260: - 10wdir - 10 metre wind direction 260261: - minrh - Minimum Relative Humidity 260262: - sdirswrf - Surface direct short-wave radiation flux 260263: - sdifswrf - Surface diffuse short-wave radiation flux 260264: - tidirswrf - Time-integrated surface direct short wave radiation flux 260265: - eva06 - Evaporation in the last 6 hours 260266: - eva24 - Evaporation in the last 24 hours 260267: - tp06 - Total precipitation in the last 6 hours 260268: - tp24 - Total precipitation in the last 24 hours 260269: - tipd - Total Icing Potential Diagnostic 260270: - ncip - Number concentration for ice particles 260271: - snot - Snow temperature 260272: - tclsw - Total column-integrated supercooled liquid water 260273: - tcolm - Total column-integrated melting ice 260274: - emnp - Evaporation - Precipitation 260275: - sbsno - Sublimation (evaporation from snow) 260276: - cnvmr - Deep Convective Moistening Rate 260277: - shamr - Shallow Convective Moistening Rate 260278: - vdfmr - Vertical Diffusion Moistening Rate 260279: - condp - Condensation Pressure of Parcali Lifted From Indicate Surface 260280: - lrgmr - Large scale moistening rate 260281: - qz0 - Specific humidity at top of viscous sublayer 260282: - qmax - Maximum specific humidity at 2m 260283: - qmin - Minimum specific humidity at 2m 260284: - arain - Liquid precipitation (rainfall) 260285: - snowt - Snow temperature, depth-avg 260286: - apcpn - Total precipitation (nearest grid point) 260287: - acpcpn - Convective precipitation (nearest grid point) 260288: - frzr - Freezing Rain 260289: - fscov - Fraction of snow cover 260290: - cat - Clear air turbulence (CAT) 260291: - mwt - Mountain wave turbulence (eddy dissipation rate) 260292: - crwc_conv - Specific rain water content (convective) 260293: - cswc_conv - Specific snow water content (convective) 260294: - glm - Glacier mask 260295: - lauv - Latitude of U Wind Component of Velocity 260296: - louv - Longitude of U Wind Component of Velocity 260297: - lavv - Latitude of V Wind Component of Velocity 260298: - lovv - Longitude of V Wind Component of Velocity 260299: - lapp - Latitude of Pressure Point 260300: - lopp - Longitude of Pressure Point 260301: - vedh - Vertical Eddy Diffusivity Heat exchange 260302: - covmz - Covariance between Meridional and Zonal Components of the wind. 260303: - covtz - Covariance between Temperature and Zonal Components of the wind. 260304: - covtm - Covariance between Temperature and Meridional Components of the wind. 260305: - vdfua - Vertical Diffusion Zonal Acceleration 260306: - vdfva - Vertical Diffusion Meridional Acceleration 260307: - gwdu - Gravity wave drag zonal acceleration 260308: - gwdv - Gravity wave drag meridional acceleration 260309: - cnvu - Convective zonal momentum mixing acceleration 260310: - cnvv - Convective meridional momentum mixing acceleration 260311: - wtend - Tendency of vertical velocity 260312: - omgalf - Omega (Dp/Dt) divide by density 260313: - cngwdu - Convective Gravity wave drag zonal acceleration 260314: - cngwdv - Convective Gravity wave drag meridional acceleration 260315: - lmv - Velocity Point Model Surface 260316: - pvmww - Potential Vorticity (Mass-Weighted) 260317: - mslet - MSLP (Eta model reduction) 260318: - ptype_sev1h - Precipitation type (most severe) in the last 1 hour 260319: - ptype_sev3h - Precipitation type (most severe) in the last 3 hours 260320: - ptype_freq1h - Precipitation type (most frequent) in the last 1 hour 260321: - ptype_freq3h - Precipitation type (most frequent) in the last 3 hours 260323: - mslma - MSLP (MAPS System Reduction) 260324: - tslsa - 3-hr pressure tendency (Std. Atmos. Reduction) 260325: - plpl - Pressure of level from which parcel was lifted 260326: - lpsx - X-gradient of Log Pressure 260327: - lpsy - Y-gradient of Log Pressure 260328: - hgtx - X-gradient of Height 260329: - hgty - Y-gradient of Height 260330: - layth - Layer Thickness 260331: - nlgsp - Natural Log of Surface Pressure 260332: - cnvumf - Convective updraft mass flux 260333: - cnvdmf - Convective downdraft mass flux 260334: - cnvdemf - Convective detrainment mass flux 260335: - lmh - Mass Point Model Surface 260336: - hgtn - Geopotential Height (nearest grid point) 260337: - presn - Pressure (nearest grid point) 260338: - ptype_sev6h - Precipitation type (most severe) in the last 6 hours 260339: - ptype_freq6h - Precipitation type (most frequent) in the last 6 hours 260340: - duvb - UV-B downward solar flux 260341: - cduvb - Clear sky UV-B downward solar flux 260342: - csdsf - Clear Sky Downward Solar Flux 260343: - swhr - Solar Radiative Heating Rate 260344: - csusf - Clear Sky Upward Solar Flux 260345: - cfnsf - Cloud Forcing Net Solar Flux 260346: - vbdsf - Visible Beam Downward Solar Flux 260347: - vddsf - Visible Diffuse Downward Solar Flux 260348: - nbdsf - Near IR Beam Downward Solar Flux 260349: - nddsf - Near IR Diffuse Downward Solar Flux 260350: - dtrf - Downward Total radiation Flux 260351: - utrf - Upward Total radiation Flux 260354: - lwhr - Long-Wave Radiative Heating Rate 260355: - csulf - Clear Sky Upward Long Wave Flux 260356: - csdlf - Clear Sky Downward Long Wave Flux 260357: - cfnlf - Cloud Forcing Net Long Wave Flux 260360: - sot - Soil temperature 260361: - sdswrfcs - Surface downward short-wave radiation flux, clear sky 260362: - suswrfcs - Surface upward short-wave radiation flux, clear sky 260363: - sdlwrfcs - Surface downward long-wave radiation flux, clear sky 260364: - sohf - Soil heat flux 260365: - percr - Percolation rate 260366: - mflux - Convective Cloud Mass Flux 260367: - sod - Soil depth 260368: - som - Soil moisture 260369: - ri - Richardson Number 260370: - cwdi - Convective Weather Detection Index 260372: - uphl - Updraft Helicity 260373: - lai - Leaf Area Index 260374: - pmtc - Particulate matter (coarse) 260375: - pmtf - Particulate matter (fine) 260376: - lpmtf - Particulate matter (fine) 260377: - lipmf - Integrated column particulate matter (fine) 260379: - ozcon - Ozone Concentration (PPB) 260380: - ozcat - Categorical Ozone Concentration 260381: - vdfoz - Ozone vertical diffusion 260382: - poz - Ozone production 260383: - toz - Ozone tendency 260384: - pozt - Ozone production from temperature term 260385: - pozo - Ozone production from col ozone term 260386: - refzr - Derived radar reflectivity backscatter from rain 260387: - refzi - Derived radar reflectivity backscatter from ice 260388: - refzc - Derived radar reflectivity backscatter from parameterized convection 260389: - refd - Derived radar reflectivity 260390: - refc - Maximum/Composite radar reflectivity 260391: - ltng - Lightning 260394: - srcono - Slight risk convective outlook 260395: - mrcono - Moderate risk convective outlook 260396: - hrcono - High risk convective outlook 260397: - torprob - Tornado probability 260398: - hailprob - Hail probability 260399: - windprob - Wind probability 260400: - storprob - Significant Tornado probability 260401: - shailpro - Significant Hail probability 260402: - swindpro - Significant Wind probability 260403: - tstmc - Categorical Thunderstorm (1-yes, 0-no) 260404: - mixly - Number of mixed layers next to surface 260405: - flght - Flight Category 260406: - cicel - Confidence - Ceiling 260407: - civis - Confidence - Visibility 260408: - ciflt - Confidence - Flight Category 260409: - lavni - Low-Level aviation interest 260410: - havni - High-Level aviation interest 260411: - sbsalb - Visible, Black Sky Albedo 260412: - swsalb - Visible, White Sky Albedo 260413: - nbsalb - Near IR, Black Sky Albedo 260414: - nwsalb - Near IR, White Sky Albedo 260415: - prsvr - Total Probability of Severe Thunderstorms (Days 2,3) 260416: - prsigsvr - Total Probability of Extreme Severe Thunderstorms (Days 2,3) 260417: - sipd - Supercooled Large Droplet (SLD) Potential 260418: - epsr - Radiative emissivity 260419: - tpfi - Turbulence Potential Forecast Index 260420: - vaftd - Volcanic Ash Forecast Transport and Dispersion 260421: - nlat - Latitude (-90 to +90) 260422: - elon - East Longitude (0 - 360) 260423: - adswrf_cs - Accumulated surface downward short-wave radiation flux, clear sky 260424: - mlyno - Model Layer number (From bottom up) 260425: - nlatn - Latitude (nearest neighbor) (-90 to +90) 260426: - elonn - East Longitude (nearest neighbor) (0 - 360) 260427: - auswrf_cs - Accumulated surface upward short-wave radiation flux, clear sky 260428: - adlwrf_cs - Accumulated surface downward long-wave radiation flux, clear sky 260429: - cpozp - Probability of Freezing Precipitation 260430: - perc - Percolation 260431: - ppffg - Probability of precipitation exceeding flash flood guidance values 260432: - cwr - Probability of Wetting Rain, exceeding in 0.10 in a given time period 260433: - etr - Evapotranspiration rate 260434: - acc_et24 - Time-integrated evapotranspiration rate in the last 24h 260435: - avg_et24 - Time-mean evapotranspiration rate in the last 24h 260436: - petr - Potential evapotranspiration rate 260437: - acc_pet24 - Time-integrated potential evapotranspiration rate in the last 24h 260438: - avg_pet24 - Time-mean potential evapotranspiration rate in the last 24h 260439: - vgtyp - Vegetation Type 260440: - avg_swv24 - Time-mean volumetric soil moisture 260441: - avg_tp24 - Time-mean total precipitation rate 260442: - wilt - Wilting Point 260443: - rorwe - Runoff rate water equivalent (surface plus subsurface) 260444: - acc_rod24 - Time-integrated water runoff and drainage rate in the last 24h 260445: - avg_rod24 - Time-mean water runoff and drainage rate in the last 24h 260447: - rdrip - Rate of water dropping from canopy to ground 260448: - icwat - Ice-free water surface 260449: - akhs - Surface exchange coefficients for T and Q divided by delta z 260450: - akms - Surface exchange coefficients for U and V divided by delta z 260451: - vegt - Vegetation canopy temperature 260452: - sstor - Surface water storage 260453: - lsoil - Liquid soil moisture content (non-frozen) 260454: - ewatr - Open water evaporation (standing water) 260455: - gwrec - Groundwater recharge 260456: - qrec - Flood plain recharge 260457: - sfcrh - Roughness length for heat 260458: - ndvi - Normalized Difference Vegetation Index 260459: - landn - Land-sea coverage (nearest neighbor) [land=1,sea=0] 260460: - amixl - Asymptotic mixing length scale 260461: - wvinc - Water vapor added by precip assimilation 260462: - wcinc - Water condensate added by precip assimilation 260463: - wvconv - Water Vapor Flux Convergence (Vertical Int) 260464: - wcconv - Water Condensate Flux Convergence (Vertical Int) 260465: - wvuflx - Water Vapor Zonal Flux (Vertical Int) 260466: - wvvflx - Water Vapor Meridional Flux (Vertical Int) 260467: - wcuflx - Water Condensate Zonal Flux (Vertical Int) 260468: - wcvflx - Water Condensate Meridional Flux (Vertical Int) 260469: - acond - Aerodynamic conductance 260470: - evcw - Canopy water evaporation 260471: - trans - Transpiration 260472: - avg_sd24 - Time-mean snow depth water equivalent 260473: - avg_skt24 - Time-mean skin temperature 260474: - sltyp - Surface Slope Type 260475: - smr - Snow melt rate 260476: - acc_smr24 - Time-integrated snow melt rate in the last 24h 260477: - avg_smr24 - Time-mean snow melt rate in the last 24h 260478: - evbs - Direct evaporation from bare soil 260479: - lspa - Land Surface Precipitation Accumulation 260480: - baret - Bare soil surface skin temperature 260481: - avsft - Average surface skin temperature 260482: - radt - Effective radiative skin temperature 260483: - fldcp - Field Capacity 260484: - usct - Scatterometer Estimated U Wind Component 260485: - vsct - Scatterometer Estimated V Wind Component 260486: - wstp - Wave Steepness 260487: - omlu - Ocean Mixed Layer U Velocity 260488: - omlv - Ocean Mixed Layer V Velocity 260489: - ubaro - Barotropic U velocity 260490: - vbaro - Barotropic V velocity 260491: - surge - Storm Surge 260492: - etsrg - Extra Tropical Storm Surge 260493: - elevhtml - Ocean Surface Elevation Relative to Geoid 260494: - sshg - Sea Surface Height Relative to Geoid 260495: - p2omlt - Ocean Mixed Layer Potential Density (Reference 2000m)
{}".format(prefix, paramid, before, entry) ) IDS[paramid] = list(entry) else: print("new {}id: {} {}".format(prefix, paramid, entry)) IDS[paramid] = list(entry) for paramid, entry in PRODGEN.items(): if paramid not in IDS: print("WARNING! adding pseudo-{}id: {}, {}".format(prefix, paramid, tuple(entry))) IDS[paramid] = entry if asList: # Sort by key and convert to list of lists return [[k] + v for k, v in sorted(IDS.items(), key=lambda item: item[0])] return IDS ################################################################################################ def getListOfRT(cursor, group_id): def sorted(cursor): cursor.execute("SELECT code FROM odbadmin_reporttype WHERE group_id = " + str(group_id)) r = [r[0] for r in cursor.fetchall()] r.sort() return r return sorted(cursor) T = """- context:\n type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa]\n obsgroup: [%(OBSGROUP)s]\n defaults:\n reportype: [%(REPORTYPE_LIST)s]\n""" def reportype(cursor): cursor.execute("SELECT id,marsname FROM odbadmin_group") GROUP = dict([(r[0],str(r[1]).lower()) for r in cursor.fetchall()]) cursor.execute("SELECT DISTINCT group_id FROM odbadmin_reporttype ORDER BY group_id") groups = [r[0] for r in cursor.fetchall()] def expand(g): return T % dict(OBSGROUP = GROUP[g], REPORTYPE_LIST = "/".join([str(r) for r in getListOfRT(cursor, g)])) return "\n".join([expand(group_id) for group_id in groups]) ################################################################################################ def header(f,o): f.write( "---\n# File automatically generated by %s --%s\n# Do not edit\n\n" % (os.path.basename(__file__), o) ) options = 'chem param reportype'.split() def main(): import sys opts = sys.argv[1:] if len(opts) != 1 or opts[0].lstrip('-') not in options: print(sys.argv[0] + ": Possible options: --" + ", --".join(options)) sys.exit(1) o = opts[0].lstrip('-') match o: case 'chem': content = execute("param", ids, o, True, False) with open(o + "ids.yaml", "w") as f: header(f, o) yaml.safe_dump(content, f, default_flow_style=None) case 'param': content = execute("param", ids, o) with open(o + "ids.yaml", "w") as f: header(f, o) yaml.safe_dump(content, f, default_flow_style=False) case 'reportype': with open("reportype.yaml", "w") as f: header(f, o) f.write(execute("odbgov", reportype)) if __name__ == "__main__": main() metkit-1.22.0/share/metkit/obstype.yaml0000664000175000017500000001662615263642712020250 0ustar alastairalastair--- - name: all group: - name: [nsd, conv, conventional, non satellite data all] group: - name: [lsd, land surface data] group: - [1, s, synop land] - [2, s2, synop record 2 land] - [3, sa, synop auto land] - [4, sa2, synop auto record 2 land] - [7, set, soil and earth temperature] - [28, snowd, snow depth] - [140, metar] - [147, ametar, auto metar] - [165, snow, imssnow, snowcover, snow cover] - [170, bs, bufr land synop] - [172, bs2, bufr land synop 2] - [176, bsr6, bufr land synop wmo region 6] - [178, bs1h, bufr land synop 1 hourly] - name: [ssd, sea surface data] group: - [9, sab, synop abbreviated ship] - [11, ss, synop ship] - [12, ss2, synop record 2 ship] - [13,sas, synop auto ship] - [14, sas2, synop auto record 2 ship] - [19, sh, shred] - [21, dsu, dribu surface] - [22, bsu, bathy surface] - [23, tsu, tesac surface] - [26, ostia] - [27, buoy] - [180, bss, bufr ship synop] - [181, bmb, bufr moored buoys] - [182, bdb, bufr drifting buoys] - name: [vsns, vertical soundings not satellite] group: - [91, p, pilot land] - [92, ps, pilot ship] - [95, wp, wind profile] - [96, ewp, european wind profile] - [97, ewtp, european wind and temperature profile] - [101, t, temp land] - [102, ts, temp ship] - [103, td, temp drop] - [104, r, rocob land] - [105, rs, rocob ship] - [106, tm, temp mobile] - [107, ct, climate temp] - [109, hrt, high resolution temp land] - [111, hrts, high resolution temp ship] - [112, bp, bufr land pilot] - [113, bps, bufr ship pilot] - [230, btd, bufr temp drop] - [231, btdc, bufr temp descent] - name: [slns, single level upper air not satellite] group: - [141, cod, codar] - [142, air, airep] - [143, col, colba] - [144, am, amdar] - [145, ac, acars] - [146, eam, e-amdar] - [149, acmr, acars with mixing ratio] - name: [sls, single level upper air satellite] group: - [82, sat2, satob section 2] - [83, sat3, satob section 3] - [84, sat4, satob section 4] - [85, sat5, atob section 5] - [86, sat6, high resolution winds] - [87, sat7, high density unified format satellite winds] - [88, geor, geostationary radiances] - [89, gcsr, geostationary clear sky radiances] - [189, gmsgr, geostationary msg radiances] - [190, gasr, geostationary all sky radiances] - name: [od, oceanographic data] group: - [131, do, dribu oceanographic] - [132, bo, bathy oceanographic] - [133, to, tesac oceanographic] - [184, argo, bufr argo] - name: [dd, derived data] group: - [164, pa, paobs] - [237, bice, baltic_ci, baltic sea ice] - name: [cc, chemical constituent] group: # - [157, so, surface ozone] # - [158, soa, surface ozone averaged] - [162, ovs, ozone vertical sounding] - [159, op, ozone partial] - name: [sf, synoptic features] group: - [31, stor, storm] - [32, tc, tropical cyclone] # ???? - [110, pgps, gbgps, ground based gps] - name: [sd, satellite data all] group: - name: [sds, ers1, surface data satellite] group: - [121, was, wavescat, wave scatterometer] - [122, wis, scat, wind scatterometer] - [123, ral, ralt, radar altimeter] - [124, sst, sea surface temperature] - [210, esar, wavesar, envisat sar] - [212, emeris, envisat_meris, envisat meris] - [213, era, envisat radar altimeter] - [214, jra, jason radar altimeter] - [216, j2ra, jason2 radar altimeter] - [217, cryora, cryosat-2 radar altimeter] - [218, saral, saral radar altimeter] - name: [vss, vertical soundings satellite] group: - [51, hr, high resolution] - [53, rtov, fbtovs, tovh, rtovs] - [54, tovb, tovs1b] - [55, atov, atovs] - [56, atop, atovs products] - [57, airs, fbairs] - [58, amsr3, advanced microwave scanning radiometer 3] - [59, amsre, fbamsre, advanced microwave scanning radiometer] - [60, amsr2, amsr2_gc, advanced microwave scanning radiometer 2] # ???? - [61, smt, satem mean temperature] - [62, sw, satem water] - [63, shl, satem higher level] - [65, slm, satem levels merged] - [71, mt, mean temperature] - [72, w, water] - [73, hl, higher level] - [75, tlm, tovs levels merged] - [138, oscat] - [139, ascat] - [153, mwribt, micro wave radiation imager] - [155, ateu, amsu_ears, atovs eumetsat] - [211, saphir] - [240, iasi, fbiasi, iasi_screened] # ???? - [250, gpsro, fbgpsro, gps radio occultation] - [126, ssmi, microwave images] - [49, ssmis, fbssmis, special sensor microwave imager sounder] - [127, ssbt, fbssmi, sea surface brigthness temperature] - name: trmm group: - [129, tbt, fbtmi, tmi brightness temperatures] - [130, ti3r, tmi instantaneous 3-d rainfall structure] - name: qscat group: - [137, qsca, quikscat] - [138, qssw, quikscat seawinds] - name: reo3 group: - [206, reo3, fbreo3, ozone] - [207, modis, modis aerosol] - [208, limd, layer integrated mass density] - [209, limd_ak, layer integrated mass density with averaging kernels] - [156, wsat, fbwindsat, windsat] - [154, vass, vertical atmospheric sounder system] - [191, mws, microwave sounder] - [201, atms, advanced technology microwave sounder] - [202, cris, cross-track infrared sounder ] - [252, giirs] - [245, hiras2] - [246, aws] - [235, alt] - [226, earthcare_cpr] - [227, earthcare_atl] - [243, visrad] - name: bufr group: [1, 3, 9, 11, 13, 19, 21, 22, 23, 28, 61, 62, 63, 82, 83, 84, 85, 86, 87, 91, 92, 95, 96, 101, 102, 103, 106, 110, 109, 111, 112, 113, 140, 142, 143, 144, 145, 146, 147, 149, 164, 170, 172, 176, 178, 180, 230, 231] - name: fbconv group: [1, 3, 9, 11, 13, 19, 21, 22, 23, 28, 65, 82, 83, 86, 87, 91, 92, 95, 96, 101, 102, 103, 106, 110, 140, 142, 143, 144, 145, 164] - name: fbscat group: [122, 136, 137, 139] - name: fbrad1c group: [54, 55] - name: fbgeos group: [89, 189, 190] - [255, fbtrmr] - [125, rw, nexrad, nexrad_rr, reprocessed wind] - [224, gbt, gpm, gmi brightness temperatures] - name: grad group: [88, 89, 189, 190] - [203, smos] - [204, smap] - name: dmbo group: [181, 182] - [251, aeolus] metkit-1.22.0/share/metkit/prodgen-params.yaml0000664000175000017500000000265615263642712021500 0ustar alastairalastair- - file: bin repres: np - - 129 - 130 - 131 - 132 - 133 - 135 - 151 - 152 - 156 - 157 - 164 - 166 - 167 - 228 - 928 - 3025 - - type: tf - - 129 # This is just because param expands to 129 - 999 - - stream: enfo type: cs - - 129 - 130 - 156 - - stream: enfo type: fp - - 131130 - - stream: efov - - 230008 - 230009 - 230020 - 230021 - 230022 - 230044 - 230045 - 230046 - 230047 - 230050 - 230057 - 230058 - 230080 - 230081 - 230082 - 230129 - 230130 - 230142 - 230143 - 230144 - 230145 - 230146 - 230147 - 230169 - 230174 - 230175 - 230176 - 230177 - 230178 - 230179 - 230180 - 230181 - 230182 - 230189 - 230195 - 230196 - 230197 - 230198 - 230205 - 230208 - 230209 - 230210 - 230211 - 230212 - 230213 - 230216 - 230228 - 230239 - 230240 - 230251 - - type: wp levtype: pl - - 129 - 131 - 132 - 157 - 130 - - type: wp levtype: sfc - - 121 - 122 - 123 - 129 - 151 - 134 - 139 - 141 - 142 - 143 - 144 - 164 - 165 - 166 - 167 - 168 - 169 - 170 - 172 - 183 - 186 - 187 - 188 - 189 - 228 - 236 - 39 - 40 - 41 - 42 - 59 metkit-1.22.0/share/metkit/mars_context_schema.json0000664000175000017500000000300415263642712022602 0ustar alastairalastair{ "additionalProperties": true, "description": "A MARS-key context that (partly) selects a parameter id.\n\nThis mirrors a single matcher rule from ``share/metkit/params.yaml``. Its\nschema is kept **separate** from :class:`ParameterEntry` so the context\ncontract can evolve independently and so user-supplied context schemas can\nvalidate against it. All fields are optional because ``params.yaml`` rules\ndo not always constrain every key (e.g. ``levtype`` is occasionally absent).", "properties": { "class": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "MARS class (e.g. 'od', 'ai')", "title": "Class" }, "stream": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "MARS stream (e.g. 'oper', 'enfo')", "title": "Stream" }, "type": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "MARS type (e.g. 'fc', 'cf')", "title": "Type" }, "levtype": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "MARS level type (e.g. 'sfc', 'pl')", "title": "Levtype" } }, "title": "MarsRequestContext", "type": "object" }metkit-1.22.0/share/metkit/params-static.yaml0000664000175000017500000000632515263642712021326 0ustar alastairalastair- - class: mc levtype: sfc stream: oper type: an - - 32 - 130 - 134 - 164 - 187 - 188 - - class: mc levtype: sfc stream: oper type: fc - - 32 - 58 - 134 - 142 - 143 - 164 - 176 - 177 - 178 - 179 - 187 - 188 - 228 - - class: mc levtype: pl stream: oper type: an - - 130 - 135 - 152 - 157 - 210181 - 217009 - - class: mc levtype: pl stream: oper type: fc - - 130 - 135 - 152 - 210181 - 217009 - - class: mc levtype: ml stream: oper type: an - - 131 - 132 - 135 - 152 - 210181 - 217009 - - class: mc levtype: ml stream: oper type: fc - - 129 - 130 - 131 - 132 - 133 - 135 - 138 - 152 - 155 - 210181 - 217009 - - class: od levtype: sfc stream: oper type: fc - - 3100 - - class: od levtype: sfc stream: enfo type: pf - - 3100 - - class: ai levtype: sfc stream: oper type: fc - - 140229 - 228141 - 228143 - - class: ai levtype: sfc stream: enfo type: pf - - 140229 - 228141 - 228143 - - class: od levtype: ml stream: oper type: fc - - 210131 - - class: od levtype: pl stream: dacl type: pb - - 129 - 130 - - class: od levtype: ml stream: sens type: sg - - 129 - 155 - 129155 - 155129 - - type: ob - - 129 - - type: ofb - - 129 - - levtype: o2d - - 250001 - 250002 - 250003 - 250004 - 250005 - 250006 - 250007 - 250008 - 250009 - 250010 - 250011 - 250012 - 262000 - 262001 - 262002 - 262003 - 262004 - 262005 - 262005 - 262006 - 262008 - 262009 - 262011 - 262014 - 262015 - 262017 - 262018 - 262023 - 262100 - 262101 - 262102 - 262103 - 262104 - 262105 - 262106 - 262108 - 262113 - 262114 - 262115 - 262116 - 262118 - 262119 - 262120 - 262121 - 262122 - 262123 - 262124 - 262125 - 262130 - 262139 - 262140 - 262141 - 262143 - 263000 - 263001 - 263002 - 263003 - 263004 - 263005 - 263006 - 263007 - 263100 - 263101 - 263102 - 263103 - 263104 - 263105 - 263106 - 263107 - 263108 - 263109 - 263110 - 263111 - 263112 - 263113 - 263114 - 263115 - 263116 - 263117 - 263118 - 263119 - 263120 - 263121 - 263122 - 263123 - 263124 - 263125 - 263126 - 263127 - 263128 - - levtype: o3d - - 262500 - 262501 - 262502 - 262505 - 262506 - 262507 - 263500 - 263501 - 263502 - 263503 - 263504 - 263505 - 263506 - 263507 - - class: od levtype: sfc stream: oper type: fc - - 160 - 163 - 3062 - 3099 - 160198 - 228032 - 228143 - 228144 - 228164 - 228228 - 228236 - 231001 - 231002 - 231003 - 231010 - 231012 - 260199 - 260227 - 260228 - 260259 - 260360 - 260509 - 262121 - - stream: oper type: ssd - - 260512 metkit-1.22.0/share/metkit/.gitignore0000664000175000017500000000021515263642712017652 0ustar alastairalastair*.list tmp # Generator outputs kept out of version control (regenerated locally / at build time) parameter_metadata.yaml unit_metadata.yaml metkit-1.22.0/share/metkit/prodgen-paramids.yaml0000664000175000017500000000503615263642712022010 0ustar alastairalastair2: - vpot 15: - auvp 16: - auvd 17: - anip 18: - anid 34: - sstk 39: - swv1 40: - swv2 41: - swv3 42: - swv4 66: - lailv 67: - laihv 77: - etad 139: - st 148: - ss 209: - ttru 928: - thk - thicknes 956: - thka - thicknes anomaly 999: - tc - tropical cyclone 132049: - 10gi 171039: - swv1 - swvl1a 171040: - swv2 - swvl2a 171041: - swv3 - swvl3a 171042: - swv4 - swvl4a # 171031: - ci 172205: - ro # Anomalies ############################################################ 171129: - z 171130: - t 171131: - u 171132: - v 171138: - vo 171139: - stl1 - st 171140: - swl1 171151: - msl 171155: - d 171156: - gh 171157: - r 171170: - slal2 - stl2 171171: - swl2 #171180: #- ewssa 171183: - stl3 171184: - swl3 171207: - 10si 171237: - swl4 # # ############################################################ 172044: - es ##172045: ##- smlt ##- snowmelt ## ##172048: ##- magss ## 172050: - lspf ## 172142: - lsp ## 172143: - cp ## 172144: - sf ## 172146: - sshf - 146 ## 172147: - slhf - 147 ## 172149: - snr ## 172153: - swhr ## 172154: - lwhr ## 172169: - ssrd ## 172175: - strd ## 172176: - ssr ## 172177: - str ## 172178: - tsr ## 172179: - ttr ## 172180: - ewss ## 172181: - nsss ## 172182: - e ## 172189: - sund ## ##172205: ##- ro ##- runoff ## ##172208: ##- tsrc ## ##172209: ##- ttrc ## ##172210: ##- ssrc ## ##172211: ##- strc ## 172228: - tp ## ##172239: ##- csf ## ##172240: ##- lsf ## ##173044: ##- esa ## ##173045: ##- smlta ## ##173048: ##- magssa ## ##173050: ##- lspfa ## 173142: - lspa ## 173143: - cpa ## ##173145: ##- blda ## ##173146: ##- sshfa ## ##173147: ##- slhfa ## ##173149: ##- snra ## ##173153: ##- swhra ## ##173154: ##- lwhra ## 173169: - ssrda - ssrd ## 173175: - strda ## 173176: - ssra - ssr ## 173177: - stra - str ## 173178: - tsra - tsr ## 173179: - ttra - ttr # ##173180: ##- ewssa ## ##173181: ##- nsssa ## 173182: - ea - e ## ##173195: ##- lgwsa ## ##173196: ##- mgwa ## ##173197: ##- gwa ## ##173205: ##- roa ## ##173208: ##- tsrca ## ##173209: ##- ttrca ## ##173210: ##- ssrca ## ##173211: ##- strca ## ##173212: ##- tisra ## ##173239: ##- csfa ## ##173240: ##- lsfa ## ##217004: ##- ch4 ##- methane 228024: - deg0 ## ##228028: ##- i10fg3 ##228053: ##- licga # In the param database, its sysa +2 k 131020: - temperature anomaly of at most -2 k 131021: - temperature anomaly of at least 2 k 131022: - temperature anomaly of at most -8 k 131023: - temperature anomaly of at most -4 k 131024: - temperature anomaly greater than 4 k - temperature anomaly of at least 4 k 131025: - temperature anomaly greater than 8 k - temperature anomaly of at least 8 k metkit-1.22.0/share/metkit/chemids.yaml0000664000175000017500000002123615263642712020170 0ustar alastairalastair--- # File automatically generated by make-yaml.py --chem # Do not edit - [2, CO, Carbon monoxide] - [3, H2O2, Hydrogen peroxide] - [4, CH4_c, Methane (chemistry)] - [5, HCHO, Formaldehyde] - [6, HNO3, Nitric acid] - [7, CH3OOH, Methyl peroxide] - [8, SO2_v, Volcanic sulphur dioxide] - [9, par, Paraffins] - [10, C2H4, Ethene] - [11, Rn, Radon] - [12, ALD2, Aldehydes] - [13, PAN, Peroxyacetyl nitrate] - [14, ROOH, Peroxides] - [15, NO3_org, Organic nitrates] - [16, C5H8, Isoprene] - [17, NO2, Nitrogen dioxide] - [18, DMS, Dimethyl sulfide] - [19, NH3, Ammonia] - [20, SO4, Sulfate] - [21, NH4, Ammonium] - [22, MSA, Methane sulfonic acid] - [23, CH3COCHO, Methyl glyoxal] - [24, O3S, Stratospheric ozone] - [25, CO2, Carbon dioxide] - [26, Pb, Lead] - [27, 'NO', Nitrogen monoxide] - [28, HO2_r, Hydroperoxy radical] - [29, CH3O2_r, Methylperoxy radical] - [30, OH_r, Hydroxyl radical] - [31, N2O, Nitrous oxide] - [32, NO3, Nitrate radical] - [33, N2O5, Dinitrogen pentoxide] - [34, HO2NO2, Pernitric acid] - [35, C2O3_r, Peroxy acetyl radical] - [36, ROR, Organic ethers] - [37, rxpar, PAR budget corrector] - [38, xo2, NO to NO2 operator] - [39, xo2n, NO to alkyl nitrate operator] - [40, NH2, Amine] - [41, psc, Polar stratospheric cloud] - [42, CH3OH, Methanol] - [43, HCOOH, Formic acid] - [44, MCOOH, Methacrylic acid] - [45, C2H6, Ethane] - [46, C2H5OH, Ethanol] - [47, C3H8, Propane] - [48, C3H6, Propene] - [49, C10H16, Terpenes] - [50, ISPD, Methacrolein MVK] - [52, CH3COCH3, Acetone] - [53, aco2, Acetone product] - [55, hypropo2] - [56, noxa, Nitrogen oxides Transp] - [57, CO2_c, Carbon dioxide (chemistry)] - [58, N2O_c, Nitrous oxide (chemistry)] - [59, H2O_c, Water vapour (chemistry)] - [60, O2, Dioxygen] - [61, O2_1s, Singlet sigma dioxygen] - [62, O2_1d, Singlet Delta dioxygen] - [63, OClO, Chlorine dioxide] - [64, ClONO2, Chlorine nitrate] - [65, HOCl, Hypochlorous acid] - [66, Cl2, Chlorine] - [67, ClNO2, Nitryl chloride] - [68, HBr, Hydrogen bromide] - [69, Cl2O2, Dichlorine dioxide] - [70, HOBr, Hypobromous acid] - [71, CFC11, Trichlorofluoromethane] - [72, CFC12, Dichlorodifluoromethane] - [73, CFC113, Trichlorotrifluoroethane] - [74, CFC114, Dichlorotetrafluoroethane] - [75, CFC115, Chloropentafluoroethane] - [76, ccl4, Tetrachloromethane] - [77, ch3ccl3, Methyl chloroform] - [78, CH3Cl, Methyl chloride] - [79, hcfc22, Chlorodifluoromethane] - [80, CH3Br, Methyl bromide] - [82, ha1211, Bromochlorodifluoromethane] - [83, ha1301, Trifluorobromomethane] - [85, H2SO4, Sulfuric acid] - [86, HONO, Nitrous acid] - [93, DIEN, Butadiene] - [94, C2H5OOH, Ethyl hydroperoxide] - [96, CH3COOH, Acetic acid] - [98, CH3CHO, Acetaldehyde] - [99, tol, Toluene and less reactive aromatics] - [100, xyl, Xylene and more reactive aromatics] - [101, GLYALD, Glycolaldehyde] - [102, CRESOL] - [104, CH3COOOH, Peracetic acid] - [105, KET, Ketones] - [106, EO2, Hoch2ch2o2] - [107, GLYOXAL] - [108, EO, Hoch2ch2o] - [109, DCB, Unsaturated dicarbonyls] - [110, MACR, Methacrolein] - [111, UDD, Unsaturated hydroxy dicarbonyl] - [112, C3H7O2, Isopropyldioxidanyl] - [113, HKET, Hydroxy ketone] - [114, C3H7OOH, Isopropyl hydroperoxide] - [115, PO2, C3h6oho2] - [116, POOH, C3h6ohooh] - [118, HYAC, Hydroxyacetone] - [119, PAA, Peroxyacetic acid] - [124, BIGENE, Lumped alkenes] - [126, BIGALK, Lumped alkanes] - [129, NOx, Nitrogen oxides] - [138, MVK, Methylvinylketone] - [139, PhO, Phenoxy radical] - [155, Ox, Oxides] - [159, BrOx, Bromine oxides] - [161, ISOPOOH, Hoch2c(ooh)(ch3)ch=ch2] - [163, DMSO, Dimethyl sulfoxyde] - [166, H2S, Hydrogensulfide] - [168, NOy, All nitrogen oxides] - [169, cly, Chlorine family] - [171, bry, Bromine family] - [173, N, Nitrogen atom] - [174, ClO, Chlorine monoxide] - [175, Cl, Chlorine atom] - [176, BrO, Bromine monoxide] - [177, h_c, Hydrogen atom] - [178, ch3, Methyl group] - [186, sog1, Condensable gas type 1] - [187, sog2a, Condensable gas type 2a] - [188, sog2b, Condensable gas type 2b] - [189, SO3, Sulfur trioxide] - [190, OCS_c, Carbonyl sulfide] - [191, Br, Bromine atom] - [192, Br2, Bromine] - [193, BrCl, Bromine monochloride] - [194, BrONO2, Bromine nitrate] - [195, CH2Br2, Dibromomethane] - [196, CH3O, Methoxy radical] - [197, CHBr3, Tribromomethane] - [198, cloo, Asymmetric chlorine dioxide radical] - [199, H2, Dihydrogen] - [200, HCl, Hydrogen chloride] - [201, HCO, Formyl radical] - [202, HF, Hydrogen fluoride] - [203, O, Oxygen atom] - [204, O_1d, Excited oxygen atom] - [205, O_3p, Ground state oxygen atom] - [222, AROO2, Aromatic peroxide radical] - [224, CH3CN, Acetonitrile] - [225, CH3O2NO2, Methyl peroxy nitrate] - [226, HCN, Hydrogen cyanide] - [227, HPALD1, Hydroperoxy aldehydes type 1] - [228, HPALD2, Hydroperoxy aldehydes type 2] - [229, ISOPBO2, Isoprene peroxy type B] - [230, ISOPDO2, Isoprene peroxy type D] - [231, gO3, GEMS ozone] - [232, SF6, Sulphur hexafluoride] - [233, SO2, Sulphur dioxide] - [236, O3, Ozone] - [255, MEK, Methyl ethyl ketone (2-butanone)] - [256, CHCl3, Trichloromethane (chloroform)] - [257, CH3I, Methyl iodide (iodomethane)] - [258, MACR_MVK, Methacrolein and methyl vinyl ketone] - [311, ole, Olefins] - [331, aVOC, Anthropogenic volatile organic compounds] - [332, bbVOC, Biomass burning volatile organic compounds] - [333, NMOC, Gaseous Non-Methane Organic Compounds] - [334, NMHC, Non-Methane Hydrocarbons] - [359, H2O, Water vapour] - [360, H2Orain, Rain water] - [361, H2Ocloud, Cloud water] - [400, gasmol, Gaseous molecules] - [404, CH4, Methane] - [431, C7H8, Toluene] - [432, C6H6, Benzene] - [433, C8H10, Xylene] - [438, C4H10, Butane] - [439, C4H8, Butene] - [440, C5H10, Pentene] - [441, C6H12, Hexene] - [442, C7H14, Heptene] - [443, C8H16, Octene] - [444, C5H12, Pentane] - [445, C6H14, Hexane] - [446, C7H16, Heptane] - [447, C8H18, Octane] - [800, bio_pol, Lumped pollen] - [801, bio_spo, Lumped fungal spores] - [802, dst_calc, Calcite] - [803, dst_chlo, Chlorite] - [804, dst_dolo, Dolomite] - [805, dst_fsp, Feldspar] - [806, dst_gth, Goethite] - [807, dst_gyp, Gypsum] - [808, dst_hem, Hematite] - [809, dst_ill, Illite] - [810, dst_kao, Kaolinite] - [811, dst_mont, Montmorillonite] - [812, dst_qtz, Quartz] - [813, dst_verm, Vermiculite] - [900, aer_NO3, Nitrate] - [901, aer_seasalt_003_05, Sea salt aerosol (0.03 - 0.5 um)] - [902, aer_seasalt_05_5, Sea salt aerosol (0.5 - 5 um)] - [903, aer_seasalt_5_20, Sea salt aerosol (5 - 20 um)] - [904, aer_dust_003_055, Dust aerosol (0.03 - 0.55 um)] - [905, aer_dust_055_09, Dust aerosol (0.55 - 0.9 um)] - [906, aer_dust_09_20, Dust aerosol (0.9 - 20 um)] - [907, aer_hicorgmat, Hydrophilic organic matter aerosol] - [908, aer_hocorgmat, Hydrophobic organic matter aerosol] - [909, aer_hicblackcarb, Hydrophilic black carbon aerosol] - [910, aer_hocblackcarb, Hydrophobic black carbon aerosol] - [911, aer_sulph, Sulphate aerosol] - [912, aer_nitrfine, Nitrate fine mode aerosol (<= 2.5 um)] - [913, aer_nitrcoars, Nitrate coarse mode aerosol (>2.5 um)] - [914, aer_nh4, Ammonium aerosol] - [915, aer_biosecorg, Biogenic secondary organic aerosol] - [916, aer_antsecorg, Anthropogenic secondary organic aerosol] - [917, strataer, Stratospheric aerosol] - [918, SOA, Secondary particulate organic matter dry] - [919, aer_biosecorg_pre, Biogenic secondary organic aerosol precursor] - [920, aer_antsecorg_pre, Anthropogenic secondary organic aerosol precursor] - [921, aer_so2_pre, SO2 precursor] - [922, aer_total, Total aerosol] - [923, aer_sm, Aerosol small mode] - [924, aer_lm, Aerosol large mode] - [925, aer_dust_09_2p5, Dust aerosol (0.9 - 2.5 um)] - [926, aer_dust_2p5_5, Dust aerosol (2.5 - 5.0 um)] - [927, aer_dust_5_10, Dust aerosol (5.0 - 10.0 um)] - [928, aer_dust_10_20, Dust aerosol (10.0 - 20.0 um)] - [929, aer_pm_1, Particulate matter <= 1 um] - [930, aer_pm_2p5, Particulate matter <= 2.5 um] - [931, aer_pm_10, Particulate matter <= 10 um] - [932, volash, Volcanic Ash] - [933, aer_blackcarb, Black carbon organic aerosol] - [934, aer_orgmat, Organic matter aerosol] - [935, aer_dust, Dust aerosol] - [936, aer_seasalt, Sea salt aerosol] - [937, aer_dust_1, Dust aerosol smaller than 1 um] - [938, aer_dust_2p5, Dust aerosol smaller than 2.5 um] - [939, aer_dust_10, Dust aerosol smaller than 10 um] - [940, aer_dust_20, Dust aerosol smaller than 20 um] - [941, SO4_v, Volcanic Sulphate] - [942, aer_seasalt_wet80p, Sea salt wet at 80% relative humidity] - [943, aer_bchpd, Brown carbon hydrophilic dry] - [944, aer_bchobd, Brown carbon hydrophobic dry] - [945, aer_ocd, Organic carbon dry] - [946, aer_ochpd, Organic carbon hydrophilic dry] - [947, aer_ochobd, Organic carbon hydrophobic dry] - [948, aer_tcd, Total carbon dry] - [949, aer_tchpd, Total carbon hydrophilic dry] - [950, aer_tchobd, Total carbon hydrophobic dry] - [951, aer_burntc, 'Burnt carbon as sum of carbon in all carbon species (CO, CO2, OC, BC, CH4)'] metkit-1.22.0/share/metkit/reportype.yaml0000664000175000017500000003400515263642712020603 0ustar alastairalastair--- # File automatically generated by make-yaml.py --reportype # Do not edit - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [hirs] defaults: reportype: [1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [amsua] defaults: reportype: [1001/1002/1003/1004/1005/1007/1008/1009/1010] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [amsub] defaults: reportype: [2001/2002/2003/2004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mhs] defaults: reportype: [3001/3002/3003/3004/3005] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [geos] defaults: reportype: [4002/4003/4004/4005/4006/4007/4008/4009/4010/4011/4012/4013/4014/4015/4016/4017/4018/4019/4020/4021/4022/4023/4024/4025/4026/4027/4028/4029/4030/4031/4032/4033/4034/4035/4036] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [resat] defaults: reportype: [5001/5002/5003/5004/5005/5006/5007/5008/5009/5010/5011/5012/5013/5014/5015/5016/5017/5018/5019/5020/5021/5022/5023/5024/5025/5026/5027/5028/5029/5030/5031/5032/5033/5034/5035/5036/5037/5038/5039/5040/5041/5042/5043/5044/5045/5046/5047/5048/5049/5050/5051/5052/5053/5054/5055/5056/5057/5058/5059/5060/5061/5062/5063/5064/5065/5066/5067/5068/5069/5070/5071/5072/5073/5074/5075/5076/5077/5078/5079/5080/5081/5082/5083/5084/5085/5086/5087/5088/5089/5090/5091/5092/5093/5094/5096/5097/5098/5099/5100/5101/5102/5103/5104/5105/5106/5107/5108/5109/5110/5111/5112/5113/5114] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [meris] defaults: reportype: [6001/6002/6003] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [gpsro] defaults: reportype: [7001/7002/7003/7004/7005/7006/7007/7008/7009/7010/7011/7012/7013/7014/7015/7016/7017/7018/7019/7020/7021/7022/7023/7024/7025/7026/7027/7028/7029/7030/7031/7032/7033/7034/7035/7036/7037] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [satob] defaults: reportype: [8001/8002/8003/8004/8005/8006/8007/8008/8009/8010/8011/8012/8013/8014/8015/8016/8017/8018/8019/8020/8021/8022/8023/8024/8025/8026/8027/8028/8029/8030/8031/8032/8033/8034/8035/8036/8037/8038/8039/8040/8041/8042/8043/8044/8045/8046/8047/8048/8049/8050/8051/8052/8053/8054/8055/8056/8057/8058/8059/8060/8061/8062/8063/8064/8065/8066/8067/8068/8069] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [scatt] defaults: reportype: [9001/9002/9003/9004/9005/9006/9007/9008/9009/9010/9011/9012/9013/9014/9015/9016/9018/9019/9020] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssmi_as] defaults: reportype: [10001/10002/10003/10004/10005/10006/10007/10008/10009/10010/10011/10012/10013/10014] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [iasi] defaults: reportype: [11001/11002/11003] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [airs] defaults: reportype: [12001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssmis_as] defaults: reportype: [13001/13002/13003/13004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [tmi_as] defaults: reportype: [14001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [amsre_as] defaults: reportype: [15001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [conv] defaults: reportype: [16001/16002/16003/16004/16005/16006/16007/16008/16009/16010/16011/16012/16013/16014/16015/16016/16017/16018/16019/16020/16021/16022/16023/16024/16025/16026/16027/16028/16029/16030/16031/16032/16037/16038/16039/16040/16041/16042/16043/16044/16045/16046/16047/16048/16049/16050/16051/16052/16053/16054/16055/16056/16057/16058/16059/16060/16061/16062/16063/16064/16065/16066/16067/16068/16069/16070/16071/16072/16073/16074/16075/16076/16077/16078/16079/16080/16081/16082/16083/16084/16085/16086/16087/16088/16089/16090/16091] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [storm] defaults: reportype: [17001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [smos] defaults: reportype: [18001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [windsat_as] defaults: reportype: [19001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssmi] defaults: reportype: [20001/20002/20003/20004/20005/20006/20007] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [amsua_as] defaults: reportype: [21001/21002/21003/21004/21005/21007/21008/21009/21010] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [amsre] defaults: reportype: [22001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [tmi] defaults: reportype: [23001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssmis] defaults: reportype: [24001/24002/24003/24004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [gbrad] defaults: reportype: [25001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mwhs] defaults: reportype: [26001/26002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mwts] defaults: reportype: [27001/27002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mwri_as] defaults: reportype: [28001/28002/28003/28004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [iras] defaults: reportype: [29001/29002/29003] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [msu] defaults: reportype: [30001/30002/30003/30004/30005/30006/30007/30008/30009/30010/30011/30012/30013/30014/30015/30016/30017/30018] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssu] defaults: reportype: [31001/31002/31003/31004/31005/31006/31007/31008/31009/31010/31011/31012/31013/31014/31015/31016] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [vtpr1] defaults: reportype: [32001/32002/32003/32004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [vtpr2] defaults: reportype: [33001/33002/33003/33004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [atms] defaults: reportype: [34001/34002/34003] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [resat_ak] defaults: reportype: [35001/35002/35003/35004/35005/35006/35007/35008/35009/35010/35011/35012/35013/35014/35015/35016/35017/35018/35019/35020/35021/35022/35023/35024/35025/35026/35027/35028/35029/35030/35031/35032/35033/35034/35035/35036/35037/35038/35039/35040] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [cris] defaults: reportype: [36001/36002/36003] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [wave_ip] defaults: reportype: [37001/37002/37003/37004/37005/37006/37007/37008/37009/37010/37012/37013] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [wave_sp] defaults: reportype: [38001/38002/38003/38004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [raingg] defaults: reportype: [39001/39002/39003/39004/39005] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [sfc_ms] defaults: reportype: [40001/40002/40003/40004/40005/40006/40007/40008/40009] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [amsr2_as] defaults: reportype: [41001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [saphir_as] defaults: reportype: [42001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [amsub_as] defaults: reportype: [43001/43002/43003/43004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mhs_as] defaults: reportype: [44001/44002/44003/44004/44005] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [dwl] defaults: reportype: [45001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [iris] defaults: reportype: [46001/46002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [alt] defaults: reportype: [47001/47002/47003/47004/47005/47006/47007/47008/47009/47010/47011/47012/47013/47014/47015/47016/47017] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [aatsr] defaults: reportype: [48001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [atms_as] defaults: reportype: [49001/49002/49003] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [gmi_as] defaults: reportype: [50001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [godae_sst] defaults: reportype: [51001/51002/51003/51004/51005/51006/51007/51008/51009] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [atovs_ms] defaults: reportype: [52001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [atmospheric_composition] defaults: reportype: [53001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [non_sfc_ms] defaults: reportype: [54001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mwts2] defaults: reportype: [55001/55002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssmi_1d] defaults: reportype: [56001/56002/56003/56004/56005/56006] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mwhs2_as] defaults: reportype: [57001/57002/57003/57004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssmt2] defaults: reportype: [58001/58002/58003/58004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [smap] defaults: reportype: [59001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [tovs_ms] defaults: reportype: [60001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [cloud_r] defaults: reportype: [61001/61002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [cloud_l] defaults: reportype: [62001/62002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [satellite_lightning] defaults: reportype: [63001/63002/63003/63004/63005] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [geos_vis] defaults: reportype: [64001/64002/64003/64004/64005/64006/64007/64008] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [oconv] defaults: reportype: [65001/65002/65049/65050/65051/65052/65053/65054/65056/65057/65061/65062/65063/65064/65083/65084/65090] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mwts3_as] defaults: reportype: [66001/66002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [giirs] defaults: reportype: [67001/67002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [hiras] defaults: reportype: [68001/68002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [tropics_as] defaults: reportype: [69001/69002/69003/69004/69005] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssmt1] defaults: reportype: [70001/70002/70003/70004/70005/70006] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssmt1_as] defaults: reportype: [71001/71002/71003/71004/71005/71006] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mws_as] defaults: reportype: [72001/72002/72003] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [mwiici_as] defaults: reportype: [73001/73002/73003] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [aws_as] defaults: reportype: [74001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [leos_vis] defaults: reportype: [75001/75002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssh] defaults: reportype: [76001/76002/76003/76004] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [sirs] defaults: reportype: [77001/77002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [scr] defaults: reportype: [78001/78002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [scams_as] defaults: reportype: [79001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [nems_as] defaults: reportype: [80001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [amsr3_as] defaults: reportype: [81001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [irs] defaults: reportype: [82001/82002] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [iasing] defaults: reportype: [83001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [smap_as] defaults: reportype: [84001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [ssmt2_as] defaults: reportype: [85001/85002/85003/85004/85005] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [smmr_as] defaults: reportype: [86001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [geos_as] defaults: reportype: [87001/87002/87003/87004/87005] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [wsfm_as] defaults: reportype: [88001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [pmr] defaults: reportype: [89001] - context: type: [ofb,mfb,oai,sfb,fsoifb,fcdfb,ofa] obsgroup: [test] defaults: reportype: [98001/98002/98003/98004/98005/98006/98007/98008/98009/98010/98011/98012/98013/98014/98015/98016/98017/98018/98019/98020/98021/98022/98023/98024/98025/98026/98027/98028/98029/98030/98031/98032/98033/98034/98035/98036/98037/98038/98039/98040] metkit-1.22.0/LICENSE0000664000175000017500000002477715263642712014313 0ustar alastairalastair Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. metkit-1.22.0/NOTICE0000664000175000017500000000063515263642712014175 0ustar alastairalastairmetkit ====== Copyright 1996- ECMWF This product is developed by the Development Section, European Centre for Medium-Range Weather Forecasts (ECMWF) - http://www.ecmwf.int Below is a list of software packages which are used inside: - No external package in currently included Please also read the cmake/NOTICE file bundled in the distribution packages, which lists the included third-party CMake macros. metkit-1.22.0/docs/0000775000175000017500000000000015263642712014215 5ustar alastairalastairmetkit-1.22.0/docs/index.rst0000664000175000017500000000140415263642712016055 0ustar alastairalastair.. Metkit documentation master file :author: ECMWF Metkit documentation ==================== .. warning:: These documentation pages are a work in progress. .. toctree:: :maxdepth: 2 :caption: Contents: :hidden: metkit/index pymetkit/index indices :ref:`Metkit ` is part of `ECMWF `__'s meteorological software stack. It provides tools for handling meteorological data, most notably the parsing, expansion and manipulation of `MARS `__ language requests. :ref:`pymetkit ` is the Python interface to Metkit, providing a thin, idiomatic Python layer over the Metkit library installed on your system. metkit-1.22.0/docs/Doxyfile.in0000664000175000017500000040022515263642712016333 0ustar alastairalastair# Doxyfile 1.13.2 # This file describes the settings to be used by the documentation system # Doxygen (www.doxygen.org) for a project. # # All text after a double hash (##) is considered a comment and is placed in # front of the TAG it is preceding. # # All text after a single hash (#) is considered a comment and will be ignored. # The format is: # TAG = value [value, ...] # For lists, items can also be appended using: # TAG += value [value, ...] # Values that contain spaces should be placed between quotes (\" \"). # # Note: # # Use Doxygen to compare the used configuration file with the template # configuration file: # doxygen -x [configFile] # Use Doxygen to compare the used configuration file with the template # configuration file without replacing the environment variables or CMake type # replacement variables: # doxygen -x_noenv [configFile] #--------------------------------------------------------------------------- # Project related configuration options #--------------------------------------------------------------------------- # This tag specifies the encoding used for all characters in the configuration # file that follow. The default is UTF-8 which is also the encoding used for all # text before the first occurrence of this tag. Doxygen uses libiconv (or the # iconv built into libc) for the transcoding. See # https://www.gnu.org/software/libiconv/ for the list of possible encodings. # The default value is: UTF-8. DOXYFILE_ENCODING = UTF-8 # The PROJECT_NAME tag is a single word (or a sequence of words surrounded by # double-quotes, unless you are using Doxywizard) that should identify the # project for which the documentation is generated. This name is used in the # title of most generated pages and in a few other places. # The default value is: My Project. PROJECT_NAME = "Metkit" # The PROJECT_NUMBER tag can be used to enter a project or revision number. This # could be handy for archiving the generated documentation or if some version # control system is used. PROJECT_NUMBER = @METKIT_VERSION@ # Using the PROJECT_BRIEF tag one can provide an optional one line description # for a project that appears at the top of each page and should give viewers a # quick idea about the purpose of the project. Keep the description short. PROJECT_BRIEF = # With the PROJECT_LOGO tag one can specify a logo or an icon that is included # in the documentation. The maximum height of the logo should not exceed 55 # pixels and the maximum width should not exceed 200 pixels. Doxygen will copy # the logo to the output directory. PROJECT_LOGO = # With the PROJECT_ICON tag one can specify an icon that is included in the tabs # when the HTML document is shown. Doxygen will copy the logo to the output # directory. PROJECT_ICON = # The OUTPUT_DIRECTORY tag is used to specify the (relative or absolute) path # into which the generated documentation will be written. If a relative path is # entered, it will be relative to the location where Doxygen was started. If # left blank the current directory will be used. OUTPUT_DIRECTORY = @DOXYGEN_OUTPUT_DIR@ # If the CREATE_SUBDIRS tag is set to YES then Doxygen will create up to 4096 # sub-directories (in 2 levels) under the output directory of each output format # and will distribute the generated files over these directories. Enabling this # option can be useful when feeding Doxygen a huge amount of source files, where # putting all generated files in the same directory would otherwise cause # performance problems for the file system. Adapt CREATE_SUBDIRS_LEVEL to # control the number of sub-directories. # The default value is: NO. CREATE_SUBDIRS = NO # Controls the number of sub-directories that will be created when # CREATE_SUBDIRS tag is set to YES. Level 0 represents 16 directories, and every # level increment doubles the number of directories, resulting in 4096 # directories at level 8 which is the default and also the maximum value. The # sub-directories are organized in 2 levels, the first level always has a fixed # number of 16 directories. # Minimum value: 0, maximum value: 8, default value: 8. # This tag requires that the tag CREATE_SUBDIRS is set to YES. CREATE_SUBDIRS_LEVEL = 8 # If the ALLOW_UNICODE_NAMES tag is set to YES, Doxygen will allow non-ASCII # characters to appear in the names of generated files. If set to NO, non-ASCII # characters will be escaped, for example _xE3_x81_x84 will be used for Unicode # U+3044. # The default value is: NO. ALLOW_UNICODE_NAMES = NO # The OUTPUT_LANGUAGE tag is used to specify the language in which all # documentation generated by Doxygen is written. Doxygen will use this # information to generate all constant output in the proper language. # Possible values are: Afrikaans, Arabic, Armenian, Brazilian, Bulgarian, # Catalan, Chinese, Chinese-Traditional, Croatian, Czech, Danish, Dutch, English # (United States), Esperanto, Farsi (Persian), Finnish, French, German, Greek, # Hindi, Hungarian, Indonesian, Italian, Japanese, Japanese-en (Japanese with # English messages), Korean, Korean-en (Korean with English messages), Latvian, # Lithuanian, Macedonian, Norwegian, Persian (Farsi), Polish, Portuguese, # Romanian, Russian, Serbian, Serbian-Cyrillic, Slovak, Slovene, Spanish, # Swedish, Turkish, Ukrainian and Vietnamese. # The default value is: English. OUTPUT_LANGUAGE = English # If the BRIEF_MEMBER_DESC tag is set to YES, Doxygen will include brief member # descriptions after the members that are listed in the file and class # documentation (similar to Javadoc). Set to NO to disable this. # The default value is: YES. BRIEF_MEMBER_DESC = YES # If the REPEAT_BRIEF tag is set to YES, Doxygen will prepend the brief # description of a member or function before the detailed description # # Note: If both HIDE_UNDOC_MEMBERS and BRIEF_MEMBER_DESC are set to NO, the # brief descriptions will be completely suppressed. # The default value is: YES. REPEAT_BRIEF = YES # This tag implements a quasi-intelligent brief description abbreviator that is # used to form the text in various listings. Each string in this list, if found # as the leading text of the brief description, will be stripped from the text # and the result, after processing the whole list, is used as the annotated # text. Otherwise, the brief description is used as-is. If left blank, the # following values are used ($name is automatically replaced with the name of # the entity):The $name class, The $name widget, The $name file, is, provides, # specifies, contains, represents, a, an and the. ABBREVIATE_BRIEF = "The $name class" \ "The $name widget" \ "The $name file" \ is \ provides \ specifies \ contains \ represents \ a \ an \ the # If the ALWAYS_DETAILED_SEC and REPEAT_BRIEF tags are both set to YES then # Doxygen will generate a detailed section even if there is only a brief # description. # The default value is: NO. ALWAYS_DETAILED_SEC = NO # If the INLINE_INHERITED_MEMB tag is set to YES, Doxygen will show all # inherited members of a class in the documentation of that class as if those # members were ordinary class members. Constructors, destructors and assignment # operators of the base classes will not be shown. # The default value is: NO. INLINE_INHERITED_MEMB = NO # If the FULL_PATH_NAMES tag is set to YES, Doxygen will prepend the full path # before files name in the file list and in the header files. If set to NO the # shortest path that makes the file name unique will be used # The default value is: YES. FULL_PATH_NAMES = YES # The STRIP_FROM_PATH tag can be used to strip a user-defined part of the path. # Stripping is only done if one of the specified strings matches the left-hand # part of the path. The tag can be used to show relative paths in the file list. # If left blank the directory from which Doxygen is run is used as the path to # strip. # # Note that you can specify absolute paths here, but also relative paths, which # will be relative from the directory where Doxygen is started. # This tag requires that the tag FULL_PATH_NAMES is set to YES. STRIP_FROM_PATH = # The STRIP_FROM_INC_PATH tag can be used to strip a user-defined part of the # path mentioned in the documentation of a class, which tells the reader which # header file to include in order to use a class. If left blank only the name of # the header file containing the class definition is used. Otherwise one should # specify the list of include paths that are normally passed to the compiler # using the -I flag. STRIP_FROM_INC_PATH = # If the SHORT_NAMES tag is set to YES, Doxygen will generate much shorter (but # less readable) file names. This can be useful if your file system doesn't # support long names like on DOS, Mac, or CD-ROM. # The default value is: NO. SHORT_NAMES = NO # If the JAVADOC_AUTOBRIEF tag is set to YES then Doxygen will interpret the # first line (until the first dot, question mark or exclamation mark) of a # Javadoc-style comment as the brief description. If set to NO, the Javadoc- # style will behave just like regular Qt-style comments (thus requiring an # explicit @brief command for a brief description.) # The default value is: NO. JAVADOC_AUTOBRIEF = NO # If the JAVADOC_BANNER tag is set to YES then Doxygen will interpret a line # such as # /*************** # as being the beginning of a Javadoc-style comment "banner". If set to NO, the # Javadoc-style will behave just like regular comments and it will not be # interpreted by Doxygen. # The default value is: NO. JAVADOC_BANNER = NO # If the QT_AUTOBRIEF tag is set to YES then Doxygen will interpret the first # line (until the first dot, question mark or exclamation mark) of a Qt-style # comment as the brief description. If set to NO, the Qt-style will behave just # like regular Qt-style comments (thus requiring an explicit \brief command for # a brief description.) # The default value is: NO. QT_AUTOBRIEF = NO # The MULTILINE_CPP_IS_BRIEF tag can be set to YES to make Doxygen treat a # multi-line C++ special comment block (i.e. a block of //! or /// comments) as # a brief description. This used to be the default behavior. The new default is # to treat a multi-line C++ comment block as a detailed description. Set this # tag to YES if you prefer the old behavior instead. # # Note that setting this tag to YES also means that rational rose comments are # not recognized any more. # The default value is: NO. MULTILINE_CPP_IS_BRIEF = NO # By default Python docstrings are displayed as preformatted text and Doxygen's # special commands cannot be used. By setting PYTHON_DOCSTRING to NO the # Doxygen's special commands can be used and the contents of the docstring # documentation blocks is shown as Doxygen documentation. # The default value is: YES. PYTHON_DOCSTRING = YES # If the INHERIT_DOCS tag is set to YES then an undocumented member inherits the # documentation from any documented member that it re-implements. # The default value is: YES. INHERIT_DOCS = YES # If the SEPARATE_MEMBER_PAGES tag is set to YES then Doxygen will produce a new # page for each member. If set to NO, the documentation of a member will be part # of the file/class/namespace that contains it. # The default value is: NO. SEPARATE_MEMBER_PAGES = NO # The TAB_SIZE tag can be used to set the number of spaces in a tab. Doxygen # uses this value to replace tabs by spaces in code fragments. # Minimum value: 1, maximum value: 16, default value: 4. TAB_SIZE = 4 # This tag can be used to specify a number of aliases that act as commands in # the documentation. An alias has the form: # name=value # For example adding # "sideeffect=@par Side Effects:^^" # will allow you to put the command \sideeffect (or @sideeffect) in the # documentation, which will result in a user-defined paragraph with heading # "Side Effects:". Note that you cannot put \n's in the value part of an alias # to insert newlines (in the resulting output). You can put ^^ in the value part # of an alias to insert a newline as if a physical newline was in the original # file. When you need a literal { or } or , in the value part of an alias you # have to escape them by means of a backslash (\), this can lead to conflicts # with the commands \{ and \} for these it is advised to use the version @{ and # @} or use a double escape (\\{ and \\}) ALIASES = # Set the OPTIMIZE_OUTPUT_FOR_C tag to YES if your project consists of C sources # only. Doxygen will then generate output that is more tailored for C. For # instance, some of the names that are used will be different. The list of all # members will be omitted, etc. # The default value is: NO. OPTIMIZE_OUTPUT_FOR_C = NO # Set the OPTIMIZE_OUTPUT_JAVA tag to YES if your project consists of Java or # Python sources only. Doxygen will then generate output that is more tailored # for that language. For instance, namespaces will be presented as packages, # qualified scopes will look different, etc. # The default value is: NO. OPTIMIZE_OUTPUT_JAVA = NO # Set the OPTIMIZE_FOR_FORTRAN tag to YES if your project consists of Fortran # sources. Doxygen will then generate output that is tailored for Fortran. # The default value is: NO. OPTIMIZE_FOR_FORTRAN = NO # Set the OPTIMIZE_OUTPUT_VHDL tag to YES if your project consists of VHDL # sources. Doxygen will then generate output that is tailored for VHDL. # The default value is: NO. OPTIMIZE_OUTPUT_VHDL = NO # Set the OPTIMIZE_OUTPUT_SLICE tag to YES if your project consists of Slice # sources only. Doxygen will then generate output that is more tailored for that # language. For instance, namespaces will be presented as modules, types will be # separated into more groups, etc. # The default value is: NO. OPTIMIZE_OUTPUT_SLICE = NO # Doxygen selects the parser to use depending on the extension of the files it # parses. With this tag you can assign which parser to use for a given # extension. Doxygen has a built-in mapping, but you can override or extend it # using this tag. The format is ext=language, where ext is a file extension, and # language is one of the parsers supported by Doxygen: IDL, Java, JavaScript, # Csharp (C#), C, C++, Lex, D, PHP, md (Markdown), Objective-C, Python, Slice, # VHDL, Fortran (fixed format Fortran: FortranFixed, free formatted Fortran: # FortranFree, unknown formatted Fortran: Fortran. In the later case the parser # tries to guess whether the code is fixed or free formatted code, this is the # default for Fortran type files). For instance to make Doxygen treat .inc files # as Fortran files (default is PHP), and .f files as C (default is Fortran), # use: inc=Fortran f=C. # # Note: For files without extension you can use no_extension as a placeholder. # # Note that for custom extensions you also need to set FILE_PATTERNS otherwise # the files are not read by Doxygen. When specifying no_extension you should add # * to the FILE_PATTERNS. # # Note see also the list of default file extension mappings. EXTENSION_MAPPING = # If the MARKDOWN_SUPPORT tag is enabled then Doxygen pre-processes all comments # according to the Markdown format, which allows for more readable # documentation. See https://daringfireball.net/projects/markdown/ for details. # The output of markdown processing is further processed by Doxygen, so you can # mix Doxygen, HTML, and XML commands with Markdown formatting. Disable only in # case of backward compatibilities issues. # The default value is: YES. MARKDOWN_SUPPORT = YES # When the TOC_INCLUDE_HEADINGS tag is set to a non-zero value, all headings up # to that level are automatically included in the table of contents, even if # they do not have an id attribute. # Note: This feature currently applies only to Markdown headings. # Minimum value: 0, maximum value: 99, default value: 6. # This tag requires that the tag MARKDOWN_SUPPORT is set to YES. TOC_INCLUDE_HEADINGS = 6 # The MARKDOWN_ID_STYLE tag can be used to specify the algorithm used to # generate identifiers for the Markdown headings. Note: Every identifier is # unique. # Possible values are: DOXYGEN use a fixed 'autotoc_md' string followed by a # sequence number starting at 0 and GITHUB use the lower case version of title # with any whitespace replaced by '-' and punctuation characters removed. # The default value is: DOXYGEN. # This tag requires that the tag MARKDOWN_SUPPORT is set to YES. MARKDOWN_ID_STYLE = DOXYGEN # When enabled Doxygen tries to link words that correspond to documented # classes, or namespaces to their corresponding documentation. Such a link can # be prevented in individual cases by putting a % sign in front of the word or # globally by setting AUTOLINK_SUPPORT to NO. Words listed in the # AUTOLINK_IGNORE_WORDS tag are excluded from automatic linking. # The default value is: YES. AUTOLINK_SUPPORT = YES # This tag specifies a list of words that, when matching the start of a word in # the documentation, will suppress auto links generation, if it is enabled via # AUTOLINK_SUPPORT. This list does not affect affect links explicitly created # using \# or the \link or commands. # This tag requires that the tag AUTOLINK_SUPPORT is set to YES. AUTOLINK_IGNORE_WORDS = # If you use STL classes (i.e. std::string, std::vector, etc.) but do not want # to include (a tag file for) the STL sources as input, then you should set this # tag to YES in order to let Doxygen match functions declarations and # definitions whose arguments contain STL classes (e.g. func(std::string); # versus func(std::string) {}). This also makes the inheritance and # collaboration diagrams that involve STL classes more complete and accurate. # The default value is: NO. BUILTIN_STL_SUPPORT = NO # If you use Microsoft's C++/CLI language, you should set this option to YES to # enable parsing support. # The default value is: NO. CPP_CLI_SUPPORT = NO # Set the SIP_SUPPORT tag to YES if your project consists of sip (see: # https://www.riverbankcomputing.com/software) sources only. Doxygen will parse # them like normal C++ but will assume all classes use public instead of private # inheritance when no explicit protection keyword is present. # The default value is: NO. SIP_SUPPORT = NO # For Microsoft's IDL there are propget and propput attributes to indicate # getter and setter methods for a property. Setting this option to YES will make # Doxygen to replace the get and set methods by a property in the documentation. # This will only work if the methods are indeed getting or setting a simple # type. If this is not the case, or you want to show the methods anyway, you # should set this option to NO. # The default value is: YES. IDL_PROPERTY_SUPPORT = YES # If member grouping is used in the documentation and the DISTRIBUTE_GROUP_DOC # tag is set to YES then Doxygen will reuse the documentation of the first # member in the group (if any) for the other members of the group. By default # all members of a group must be documented explicitly. # The default value is: NO. DISTRIBUTE_GROUP_DOC = NO # If one adds a struct or class to a group and this option is enabled, then also # any nested class or struct is added to the same group. By default this option # is disabled and one has to add nested compounds explicitly via \ingroup. # The default value is: NO. GROUP_NESTED_COMPOUNDS = NO # Set the SUBGROUPING tag to YES to allow class member groups of the same type # (for instance a group of public functions) to be put as a subgroup of that # type (e.g. under the Public Functions section). Set it to NO to prevent # subgrouping. Alternatively, this can be done per class using the # \nosubgrouping command. # The default value is: YES. SUBGROUPING = YES # When the INLINE_GROUPED_CLASSES tag is set to YES, classes, structs and unions # are shown inside the group in which they are included (e.g. using \ingroup) # instead of on a separate page (for HTML and Man pages) or section (for LaTeX # and RTF). # # Note that this feature does not work in combination with # SEPARATE_MEMBER_PAGES. # The default value is: NO. INLINE_GROUPED_CLASSES = NO # When the INLINE_SIMPLE_STRUCTS tag is set to YES, structs, classes, and unions # with only public data fields or simple typedef fields will be shown inline in # the documentation of the scope in which they are defined (i.e. file, # namespace, or group documentation), provided this scope is documented. If set # to NO, structs, classes, and unions are shown on a separate page (for HTML and # Man pages) or section (for LaTeX and RTF). # The default value is: NO. INLINE_SIMPLE_STRUCTS = NO # When TYPEDEF_HIDES_STRUCT tag is enabled, a typedef of a struct, union, or # enum is documented as struct, union, or enum with the name of the typedef. So # typedef struct TypeS {} TypeT, will appear in the documentation as a struct # with name TypeT. When disabled the typedef will appear as a member of a file, # namespace, or class. And the struct will be named TypeS. This can typically be # useful for C code in case the coding convention dictates that all compound # types are typedef'ed and only the typedef is referenced, never the tag name. # The default value is: NO. TYPEDEF_HIDES_STRUCT = NO # The size of the symbol lookup cache can be set using LOOKUP_CACHE_SIZE. This # cache is used to resolve symbols given their name and scope. Since this can be # an expensive process and often the same symbol appears multiple times in the # code, Doxygen keeps a cache of pre-resolved symbols. If the cache is too small # Doxygen will become slower. If the cache is too large, memory is wasted. The # cache size is given by this formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range # is 0..9, the default is 0, corresponding to a cache size of 2^16=65536 # symbols. At the end of a run Doxygen will report the cache usage and suggest # the optimal cache size from a speed point of view. # Minimum value: 0, maximum value: 9, default value: 0. LOOKUP_CACHE_SIZE = 0 # The NUM_PROC_THREADS specifies the number of threads Doxygen is allowed to use # during processing. When set to 0 Doxygen will based this on the number of # cores available in the system. You can set it explicitly to a value larger # than 0 to get more control over the balance between CPU load and processing # speed. At this moment only the input processing can be done using multiple # threads. Since this is still an experimental feature the default is set to 1, # which effectively disables parallel processing. Please report any issues you # encounter. Generating dot graphs in parallel is controlled by the # DOT_NUM_THREADS setting. # Minimum value: 0, maximum value: 32, default value: 1. NUM_PROC_THREADS = 0 # If the TIMESTAMP tag is set different from NO then each generated page will # contain the date or date and time when the page was generated. Setting this to # NO can help when comparing the output of multiple runs. # Possible values are: YES, NO, DATETIME and DATE. # The default value is: NO. TIMESTAMP = NO #--------------------------------------------------------------------------- # Build related configuration options #--------------------------------------------------------------------------- # If the EXTRACT_ALL tag is set to YES, Doxygen will assume all entities in # documentation are documented, even if no documentation was available. Private # class members and static file members will be hidden unless the # EXTRACT_PRIVATE respectively EXTRACT_STATIC tags are set to YES. # Note: This will also disable the warnings about undocumented members that are # normally produced when WARNINGS is set to YES. # The default value is: NO. EXTRACT_ALL = NO # If the EXTRACT_PRIVATE tag is set to YES, all private members of a class will # be included in the documentation. # The default value is: NO. EXTRACT_PRIVATE = NO # If the EXTRACT_PRIV_VIRTUAL tag is set to YES, documented private virtual # methods of a class will be included in the documentation. # The default value is: NO. EXTRACT_PRIV_VIRTUAL = NO # If the EXTRACT_PACKAGE tag is set to YES, all members with package or internal # scope will be included in the documentation. # The default value is: NO. EXTRACT_PACKAGE = NO # If the EXTRACT_STATIC tag is set to YES, all static members of a file will be # included in the documentation. # The default value is: NO. EXTRACT_STATIC = NO # If the EXTRACT_LOCAL_CLASSES tag is set to YES, classes (and structs) defined # locally in source files will be included in the documentation. If set to NO, # only classes defined in header files are included. Does not have any effect # for Java sources. # The default value is: YES. EXTRACT_LOCAL_CLASSES = YES # This flag is only useful for Objective-C code. If set to YES, local methods, # which are defined in the implementation section but not in the interface are # included in the documentation. If set to NO, only methods in the interface are # included. # The default value is: NO. EXTRACT_LOCAL_METHODS = NO # If this flag is set to YES, the members of anonymous namespaces will be # extracted and appear in the documentation as a namespace called # 'anonymous_namespace{file}', where file will be replaced with the base name of # the file that contains the anonymous namespace. By default anonymous namespace # are hidden. # The default value is: NO. EXTRACT_ANON_NSPACES = NO # If this flag is set to YES, the name of an unnamed parameter in a declaration # will be determined by the corresponding definition. By default unnamed # parameters remain unnamed in the output. # The default value is: YES. RESOLVE_UNNAMED_PARAMS = YES # If the HIDE_UNDOC_MEMBERS tag is set to YES, Doxygen will hide all # undocumented members inside documented classes or files. If set to NO these # members will be included in the various overviews, but no documentation # section is generated. This option has no effect if EXTRACT_ALL is enabled. # The default value is: NO. HIDE_UNDOC_MEMBERS = NO # If the HIDE_UNDOC_CLASSES tag is set to YES, Doxygen will hide all # undocumented classes that are normally visible in the class hierarchy. If set # to NO, these classes will be included in the various overviews. This option # will also hide undocumented C++ concepts if enabled. This option has no effect # if EXTRACT_ALL is enabled. # The default value is: NO. HIDE_UNDOC_CLASSES = NO # If the HIDE_UNDOC_NAMESPACES tag is set to YES, Doxygen will hide all # undocumented namespaces that are normally visible in the namespace hierarchy. # If set to NO, these namespaces will be included in the various overviews. This # option has no effect if EXTRACT_ALL is enabled. # The default value is: YES. HIDE_UNDOC_NAMESPACES = YES # If the HIDE_FRIEND_COMPOUNDS tag is set to YES, Doxygen will hide all friend # declarations. If set to NO, these declarations will be included in the # documentation. # The default value is: NO. HIDE_FRIEND_COMPOUNDS = NO # If the HIDE_IN_BODY_DOCS tag is set to YES, Doxygen will hide any # documentation blocks found inside the body of a function. If set to NO, these # blocks will be appended to the function's detailed documentation block. # The default value is: NO. HIDE_IN_BODY_DOCS = NO # The INTERNAL_DOCS tag determines if documentation that is typed after a # \internal command is included. If the tag is set to NO then the documentation # will be excluded. Set it to YES to include the internal documentation. # The default value is: NO. INTERNAL_DOCS = NO # With the correct setting of option CASE_SENSE_NAMES Doxygen will better be # able to match the capabilities of the underlying filesystem. In case the # filesystem is case sensitive (i.e. it supports files in the same directory # whose names only differ in casing), the option must be set to YES to properly # deal with such files in case they appear in the input. For filesystems that # are not case sensitive the option should be set to NO to properly deal with # output files written for symbols that only differ in casing, such as for two # classes, one named CLASS and the other named Class, and to also support # references to files without having to specify the exact matching casing. On # Windows (including Cygwin) and macOS, users should typically set this option # to NO, whereas on Linux or other Unix flavors it should typically be set to # YES. # Possible values are: SYSTEM, NO and YES. # The default value is: SYSTEM. CASE_SENSE_NAMES = SYSTEM # If the HIDE_SCOPE_NAMES tag is set to NO then Doxygen will show members with # their full class and namespace scopes in the documentation. If set to YES, the # scope will be hidden. # The default value is: NO. HIDE_SCOPE_NAMES = NO # If the HIDE_COMPOUND_REFERENCE tag is set to NO (default) then Doxygen will # append additional text to a page's title, such as Class Reference. If set to # YES the compound reference will be hidden. # The default value is: NO. HIDE_COMPOUND_REFERENCE= NO # If the SHOW_HEADERFILE tag is set to YES then the documentation for a class # will show which file needs to be included to use the class. # The default value is: YES. SHOW_HEADERFILE = YES # If the SHOW_INCLUDE_FILES tag is set to YES then Doxygen will put a list of # the files that are included by a file in the documentation of that file. # The default value is: YES. SHOW_INCLUDE_FILES = YES # If the SHOW_GROUPED_MEMB_INC tag is set to YES then Doxygen will add for each # grouped member an include statement to the documentation, telling the reader # which file to include in order to use the member. # The default value is: NO. SHOW_GROUPED_MEMB_INC = NO # If the FORCE_LOCAL_INCLUDES tag is set to YES then Doxygen will list include # files with double quotes in the documentation rather than with sharp brackets. # The default value is: NO. FORCE_LOCAL_INCLUDES = NO # If the INLINE_INFO tag is set to YES then a tag [inline] is inserted in the # documentation for inline members. # The default value is: YES. INLINE_INFO = YES # If the SORT_MEMBER_DOCS tag is set to YES then Doxygen will sort the # (detailed) documentation of file and class members alphabetically by member # name. If set to NO, the members will appear in declaration order. # The default value is: YES. SORT_MEMBER_DOCS = YES # If the SORT_BRIEF_DOCS tag is set to YES then Doxygen will sort the brief # descriptions of file, namespace and class members alphabetically by member # name. If set to NO, the members will appear in declaration order. Note that # this will also influence the order of the classes in the class list. # The default value is: NO. SORT_BRIEF_DOCS = NO # If the SORT_MEMBERS_CTORS_1ST tag is set to YES then Doxygen will sort the # (brief and detailed) documentation of class members so that constructors and # destructors are listed first. If set to NO the constructors will appear in the # respective orders defined by SORT_BRIEF_DOCS and SORT_MEMBER_DOCS. # Note: If SORT_BRIEF_DOCS is set to NO this option is ignored for sorting brief # member documentation. # Note: If SORT_MEMBER_DOCS is set to NO this option is ignored for sorting # detailed member documentation. # The default value is: NO. SORT_MEMBERS_CTORS_1ST = NO # If the SORT_GROUP_NAMES tag is set to YES then Doxygen will sort the hierarchy # of group names into alphabetical order. If set to NO the group names will # appear in their defined order. # The default value is: NO. SORT_GROUP_NAMES = NO # If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be sorted by # fully-qualified names, including namespaces. If set to NO, the class list will # be sorted only by class name, not including the namespace part. # Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES. # Note: This option applies only to the class list, not to the alphabetical # list. # The default value is: NO. SORT_BY_SCOPE_NAME = NO # If the STRICT_PROTO_MATCHING option is enabled and Doxygen fails to do proper # type resolution of all parameters of a function it will reject a match between # the prototype and the implementation of a member function even if there is # only one candidate or it is obvious which candidate to choose by doing a # simple string match. By disabling STRICT_PROTO_MATCHING Doxygen will still # accept a match between prototype and implementation in such cases. # The default value is: NO. STRICT_PROTO_MATCHING = NO # The GENERATE_TODOLIST tag can be used to enable (YES) or disable (NO) the todo # list. This list is created by putting \todo commands in the documentation. # The default value is: YES. GENERATE_TODOLIST = YES # The GENERATE_TESTLIST tag can be used to enable (YES) or disable (NO) the test # list. This list is created by putting \test commands in the documentation. # The default value is: YES. GENERATE_TESTLIST = YES # The GENERATE_BUGLIST tag can be used to enable (YES) or disable (NO) the bug # list. This list is created by putting \bug commands in the documentation. # The default value is: YES. GENERATE_BUGLIST = YES # The GENERATE_DEPRECATEDLIST tag can be used to enable (YES) or disable (NO) # the deprecated list. This list is created by putting \deprecated commands in # the documentation. # The default value is: YES. GENERATE_DEPRECATEDLIST= YES # The ENABLED_SECTIONS tag can be used to enable conditional documentation # sections, marked by \if ... \endif and \cond # ... \endcond blocks. ENABLED_SECTIONS = # The MAX_INITIALIZER_LINES tag determines the maximum number of lines that the # initial value of a variable or macro / define can have for it to appear in the # documentation. If the initializer consists of more lines than specified here # it will be hidden. Use a value of 0 to hide initializers completely. The # appearance of the value of individual variables and macros / defines can be # controlled using \showinitializer or \hideinitializer command in the # documentation regardless of this setting. # Minimum value: 0, maximum value: 10000, default value: 30. MAX_INITIALIZER_LINES = 30 # Set the SHOW_USED_FILES tag to NO to disable the list of files generated at # the bottom of the documentation of classes and structs. If set to YES, the # list will mention the files that were used to generate the documentation. # The default value is: YES. SHOW_USED_FILES = YES # Set the SHOW_FILES tag to NO to disable the generation of the Files page. This # will remove the Files entry from the Quick Index and from the Folder Tree View # (if specified). # The default value is: YES. SHOW_FILES = YES # Set the SHOW_NAMESPACES tag to NO to disable the generation of the Namespaces # page. This will remove the Namespaces entry from the Quick Index and from the # Folder Tree View (if specified). # The default value is: YES. SHOW_NAMESPACES = YES # The FILE_VERSION_FILTER tag can be used to specify a program or script that # Doxygen should invoke to get the current version for each file (typically from # the version control system). Doxygen will invoke the program by executing (via # popen()) the command command input-file, where command is the value of the # FILE_VERSION_FILTER tag, and input-file is the name of an input file provided # by Doxygen. Whatever the program writes to standard output is used as the file # version. For an example see the documentation. FILE_VERSION_FILTER = # The LAYOUT_FILE tag can be used to specify a layout file which will be parsed # by Doxygen. The layout file controls the global structure of the generated # output files in an output format independent way. To create the layout file # that represents Doxygen's defaults, run Doxygen with the -l option. You can # optionally specify a file name after the option, if omitted DoxygenLayout.xml # will be used as the name of the layout file. See also section "Changing the # layout of pages" for information. # # Note that if you run Doxygen from a directory containing a file called # DoxygenLayout.xml, Doxygen will parse it automatically even if the LAYOUT_FILE # tag is left empty. LAYOUT_FILE = # The CITE_BIB_FILES tag can be used to specify one or more bib files containing # the reference definitions. This must be a list of .bib files. The .bib # extension is automatically appended if omitted. This requires the bibtex tool # to be installed. See also https://en.wikipedia.org/wiki/BibTeX for more info. # For LaTeX the style of the bibliography can be controlled using # LATEX_BIB_STYLE. To use this feature you need bibtex and perl available in the # search path. See also \cite for info how to create references. CITE_BIB_FILES = # The EXTERNAL_TOOL_PATH tag can be used to extend the search path (PATH # environment variable) so that external tools such as latex and gs can be # found. # Note: Directories specified with EXTERNAL_TOOL_PATH are added in front of the # path already specified by the PATH variable, and are added in the order # specified. # Note: This option is particularly useful for macOS version 14 (Sonoma) and # higher, when running Doxygen from Doxywizard, because in this case any user- # defined changes to the PATH are ignored. A typical example on macOS is to set # EXTERNAL_TOOL_PATH = /Library/TeX/texbin /usr/local/bin # together with the standard path, the full search path used by doxygen when # launching external tools will then become # PATH=/Library/TeX/texbin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin EXTERNAL_TOOL_PATH = #--------------------------------------------------------------------------- # Configuration options related to warning and progress messages #--------------------------------------------------------------------------- # The QUIET tag can be used to turn on/off the messages that are generated to # standard output by Doxygen. If QUIET is set to YES this implies that the # messages are off. # The default value is: NO. QUIET = NO # The WARNINGS tag can be used to turn on/off the warning messages that are # generated to standard error (stderr) by Doxygen. If WARNINGS is set to YES # this implies that the warnings are on. # # Tip: Turn warnings on while writing the documentation. # The default value is: YES. WARNINGS = YES # If the WARN_IF_UNDOCUMENTED tag is set to YES then Doxygen will generate # warnings for undocumented members. If EXTRACT_ALL is set to YES then this flag # will automatically be disabled. # The default value is: YES. WARN_IF_UNDOCUMENTED = YES # If the WARN_IF_DOC_ERROR tag is set to YES, Doxygen will generate warnings for # potential errors in the documentation, such as documenting some parameters in # a documented function twice, or documenting parameters that don't exist or # using markup commands wrongly. # The default value is: YES. WARN_IF_DOC_ERROR = YES # If WARN_IF_INCOMPLETE_DOC is set to YES, Doxygen will warn about incomplete # function parameter documentation. If set to NO, Doxygen will accept that some # parameters have no documentation without warning. # The default value is: YES. WARN_IF_INCOMPLETE_DOC = YES # This WARN_NO_PARAMDOC option can be enabled to get warnings for functions that # are documented, but have no documentation for their parameters or return # value. If set to NO, Doxygen will only warn about wrong parameter # documentation, but not about the absence of documentation. If EXTRACT_ALL is # set to YES then this flag will automatically be disabled. See also # WARN_IF_INCOMPLETE_DOC # The default value is: NO. WARN_NO_PARAMDOC = NO # If WARN_IF_UNDOC_ENUM_VAL option is set to YES, Doxygen will warn about # undocumented enumeration values. If set to NO, Doxygen will accept # undocumented enumeration values. If EXTRACT_ALL is set to YES then this flag # will automatically be disabled. # The default value is: NO. WARN_IF_UNDOC_ENUM_VAL = NO # If WARN_LAYOUT_FILE option is set to YES, Doxygen will warn about issues found # while parsing the user defined layout file, such as missing or wrong elements. # See also LAYOUT_FILE for details. If set to NO, problems with the layout file # will be suppressed. # The default value is: YES. WARN_LAYOUT_FILE = YES # If the WARN_AS_ERROR tag is set to YES then Doxygen will immediately stop when # a warning is encountered. If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS # then Doxygen will continue running as if WARN_AS_ERROR tag is set to NO, but # at the end of the Doxygen process Doxygen will return with a non-zero status. # If the WARN_AS_ERROR tag is set to FAIL_ON_WARNINGS_PRINT then Doxygen behaves # like FAIL_ON_WARNINGS but in case no WARN_LOGFILE is defined Doxygen will not # write the warning messages in between other messages but write them at the end # of a run, in case a WARN_LOGFILE is defined the warning messages will be # besides being in the defined file also be shown at the end of a run, unless # the WARN_LOGFILE is defined as - i.e. standard output (stdout) in that case # the behavior will remain as with the setting FAIL_ON_WARNINGS. # Possible values are: NO, YES, FAIL_ON_WARNINGS and FAIL_ON_WARNINGS_PRINT. # The default value is: NO. WARN_AS_ERROR = NO # The WARN_FORMAT tag determines the format of the warning messages that Doxygen # can produce. The string should contain the $file, $line, and $text tags, which # will be replaced by the file and line number from which the warning originated # and the warning text. Optionally the format may contain $version, which will # be replaced by the version of the file (if it could be obtained via # FILE_VERSION_FILTER) # See also: WARN_LINE_FORMAT # The default value is: $file:$line: $text. WARN_FORMAT = "$file:$line: $text" # In the $text part of the WARN_FORMAT command it is possible that a reference # to a more specific place is given. To make it easier to jump to this place # (outside of Doxygen) the user can define a custom "cut" / "paste" string. # Example: # WARN_LINE_FORMAT = "'vi $file +$line'" # See also: WARN_FORMAT # The default value is: at line $line of file $file. WARN_LINE_FORMAT = "at line $line of file $file" # The WARN_LOGFILE tag can be used to specify a file to which warning and error # messages should be written. If left blank the output is written to standard # error (stderr). In case the file specified cannot be opened for writing the # warning and error messages are written to standard error. When as file - is # specified the warning and error messages are written to standard output # (stdout). WARN_LOGFILE = #--------------------------------------------------------------------------- # Configuration options related to the input files #--------------------------------------------------------------------------- # The INPUT tag is used to specify the files and/or directories that contain # documented source files. You may enter file names like myfile.cpp or # directories like /usr/src/myproject. Separate the files or directories with # spaces. See also FILE_PATTERNS and EXTENSION_MAPPING # Note: If this tag is empty the current directory is searched. INPUT = @DOXYGEN_INPUT_DIR@ # This tag can be used to specify the character encoding of the source files # that Doxygen parses. Internally Doxygen uses the UTF-8 encoding. Doxygen uses # libiconv (or the iconv built into libc) for the transcoding. See the libiconv # documentation (see: # https://www.gnu.org/software/libiconv/) for the list of possible encodings. # See also: INPUT_FILE_ENCODING # The default value is: UTF-8. INPUT_ENCODING = UTF-8 # This tag can be used to specify the character encoding of the source files # that Doxygen parses. The INPUT_FILE_ENCODING tag can be used to specify # character encoding on a per file pattern basis. Doxygen will compare the file # name with each pattern and apply the encoding instead of the default # INPUT_ENCODING if there is a match. The character encodings are a list of the # form: pattern=encoding (like *.php=ISO-8859-1). # See also: INPUT_ENCODING for further information on supported encodings. INPUT_FILE_ENCODING = # If the value of the INPUT tag contains directories, you can use the # FILE_PATTERNS tag to specify one or more wildcard patterns (like *.cpp and # *.h) to filter out the source-files in the directories. # # Note that for custom extensions or not directly supported extensions you also # need to set EXTENSION_MAPPING for the extension otherwise the files are not # read by Doxygen. # # Note the list of default checked file patterns might differ from the list of # default file extension mappings. # # If left blank the following patterns are tested:*.c, *.cc, *.cxx, *.cxxm, # *.cpp, *.cppm, *.ccm, *.c++, *.c++m, *.java, *.ii, *.ixx, *.ipp, *.i++, *.inl, # *.idl, *.ddl, *.odl, *.h, *.hh, *.hxx, *.hpp, *.h++, *.ixx, *.l, *.cs, *.d, # *.php, *.php4, *.php5, *.phtml, *.inc, *.m, *.markdown, *.md, *.mm, *.dox (to # be provided as Doxygen C comment), *.py, *.pyw, *.f90, *.f95, *.f03, *.f08, # *.f18, *.f, *.for, *.vhd, *.vhdl, *.ucf, *.qsf and *.ice. FILE_PATTERNS = *.c \ *.cc \ *.cxx \ *.cxxm \ *.cpp \ *.cppm \ *.ccm \ *.c++ \ *.c++m \ *.java \ *.ii \ *.ixx \ *.ipp \ *.i++ \ *.inl \ *.idl \ *.ddl \ *.odl \ *.h \ *.hh \ *.hxx \ *.hpp \ *.h++ \ *.ixx \ *.l \ *.cs \ *.d \ *.php \ *.php4 \ *.php5 \ *.phtml \ *.inc \ *.m \ *.markdown \ *.md \ *.mm \ *.dox \ *.py \ *.pyw \ *.f90 \ *.f95 \ *.f03 \ *.f08 \ *.f18 \ *.f \ *.for \ *.vhd \ *.vhdl \ *.ucf \ *.qsf \ *.ice # The RECURSIVE tag can be used to specify whether or not subdirectories should # be searched for input files as well. # The default value is: NO. RECURSIVE = YES # The EXCLUDE tag can be used to specify files and/or directories that should be # excluded from the INPUT source files. This way you can easily exclude a # subdirectory from a directory tree whose root is specified with the INPUT tag. # # Note that relative paths are relative to the directory from which Doxygen is # run. EXCLUDE = # The EXCLUDE_SYMLINKS tag can be used to select whether or not files or # directories that are symbolic links (a Unix file system feature) are excluded # from the input. # The default value is: NO. EXCLUDE_SYMLINKS = NO # If the value of the INPUT tag contains directories, you can use the # EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude # certain files from those directories. # # Note that the wildcards are matched against the file with absolute path, so to # exclude all test directories for example use the pattern */test/* EXCLUDE_PATTERNS = # The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names # (namespaces, classes, functions, etc.) that should be excluded from the # output. The symbol name can be a fully qualified name, a word, or if the # wildcard * is used, a substring. Examples: ANamespace, AClass, # ANamespace::AClass, ANamespace::*Test EXCLUDE_SYMBOLS = # The EXAMPLE_PATH tag can be used to specify one or more files or directories # that contain example code fragments that are included (see the \include # command). EXAMPLE_PATH = # If the value of the EXAMPLE_PATH tag contains directories, you can use the # EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp and # *.h) to filter out the source-files in the directories. If left blank all # files are included. EXAMPLE_PATTERNS = * # If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be # searched for input files to be used with the \include or \dontinclude commands # irrespective of the value of the RECURSIVE tag. # The default value is: NO. EXAMPLE_RECURSIVE = NO # The IMAGE_PATH tag can be used to specify one or more files or directories # that contain images that are to be included in the documentation (see the # \image command). IMAGE_PATH = # The INPUT_FILTER tag can be used to specify a program that Doxygen should # invoke to filter for each input file. Doxygen will invoke the filter program # by executing (via popen()) the command: # # # # where is the value of the INPUT_FILTER tag, and is the # name of an input file. Doxygen will then use the output that the filter # program writes to standard output. If FILTER_PATTERNS is specified, this tag # will be ignored. # # Note that the filter must not add or remove lines; it is applied before the # code is scanned, but not when the output code is generated. If lines are added # or removed, the anchors will not be placed correctly. # # Note that Doxygen will use the data processed and written to standard output # for further processing, therefore nothing else, like debug statements or used # commands (so in case of a Windows batch file always use @echo OFF), should be # written to standard output. # # Note that for custom extensions or not directly supported extensions you also # need to set EXTENSION_MAPPING for the extension otherwise the files are not # properly processed by Doxygen. INPUT_FILTER = # The FILTER_PATTERNS tag can be used to specify filters on a per file pattern # basis. Doxygen will compare the file name with each pattern and apply the # filter if there is a match. The filters are a list of the form: pattern=filter # (like *.cpp=my_cpp_filter). See INPUT_FILTER for further information on how # filters are used. If the FILTER_PATTERNS tag is empty or if none of the # patterns match the file name, INPUT_FILTER is applied. # # Note that for custom extensions or not directly supported extensions you also # need to set EXTENSION_MAPPING for the extension otherwise the files are not # properly processed by Doxygen. FILTER_PATTERNS = # If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using # INPUT_FILTER) will also be used to filter the input files that are used for # producing the source files to browse (i.e. when SOURCE_BROWSER is set to YES). # The default value is: NO. FILTER_SOURCE_FILES = NO # The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file # pattern. A pattern will override the setting for FILTER_PATTERN (if any) and # it is also possible to disable source filtering for a specific pattern using # *.ext= (so without naming a filter). # This tag requires that the tag FILTER_SOURCE_FILES is set to YES. FILTER_SOURCE_PATTERNS = # If the USE_MDFILE_AS_MAINPAGE tag refers to the name of a markdown file that # is part of the input, its contents will be placed on the main page # (index.html). This can be useful if you have a project on for instance GitHub # and want to reuse the introduction page also for the Doxygen output. USE_MDFILE_AS_MAINPAGE = # If the IMPLICIT_DIR_DOCS tag is set to YES, any README.md file found in sub- # directories of the project's root, is used as the documentation for that sub- # directory, except when the README.md starts with a \dir, \page or \mainpage # command. If set to NO, the README.md file needs to start with an explicit \dir # command in order to be used as directory documentation. # The default value is: YES. IMPLICIT_DIR_DOCS = YES # The Fortran standard specifies that for fixed formatted Fortran code all # characters from position 72 are to be considered as comment. A common # extension is to allow longer lines before the automatic comment starts. The # setting FORTRAN_COMMENT_AFTER will also make it possible that longer lines can # be processed before the automatic comment starts. # Minimum value: 7, maximum value: 10000, default value: 72. FORTRAN_COMMENT_AFTER = 72 #--------------------------------------------------------------------------- # Configuration options related to source browsing #--------------------------------------------------------------------------- # If the SOURCE_BROWSER tag is set to YES then a list of source files will be # generated. Documented entities will be cross-referenced with these sources. # # Note: To get rid of all source code in the generated output, make sure that # also VERBATIM_HEADERS is set to NO. # The default value is: NO. SOURCE_BROWSER = NO # Setting the INLINE_SOURCES tag to YES will include the body of functions, # multi-line macros, enums or list initialized variables directly into the # documentation. # The default value is: NO. INLINE_SOURCES = NO # Setting the STRIP_CODE_COMMENTS tag to YES will instruct Doxygen to hide any # special comment blocks from generated source code fragments. Normal C, C++ and # Fortran comments will always remain visible. # The default value is: YES. STRIP_CODE_COMMENTS = YES # If the REFERENCED_BY_RELATION tag is set to YES then for each documented # entity all documented functions referencing it will be listed. # The default value is: NO. REFERENCED_BY_RELATION = NO # If the REFERENCES_RELATION tag is set to YES then for each documented function # all documented entities called/used by that function will be listed. # The default value is: NO. REFERENCES_RELATION = NO # If the REFERENCES_LINK_SOURCE tag is set to YES and SOURCE_BROWSER tag is set # to YES then the hyperlinks from functions in REFERENCES_RELATION and # REFERENCED_BY_RELATION lists will link to the source code. Otherwise they will # link to the documentation. # The default value is: YES. REFERENCES_LINK_SOURCE = YES # If SOURCE_TOOLTIPS is enabled (the default) then hovering a hyperlink in the # source code will show a tooltip with additional information such as prototype, # brief description and links to the definition and documentation. Since this # will make the HTML file larger and loading of large files a bit slower, you # can opt to disable this feature. # The default value is: YES. # This tag requires that the tag SOURCE_BROWSER is set to YES. SOURCE_TOOLTIPS = YES # If the USE_HTAGS tag is set to YES then the references to source code will # point to the HTML generated by the htags(1) tool instead of Doxygen built-in # source browser. The htags tool is part of GNU's global source tagging system # (see https://www.gnu.org/software/global/global.html). You will need version # 4.8.6 or higher. # # To use it do the following: # - Install the latest version of global # - Enable SOURCE_BROWSER and USE_HTAGS in the configuration file # - Make sure the INPUT points to the root of the source tree # - Run doxygen as normal # # Doxygen will invoke htags (and that will in turn invoke gtags), so these # tools must be available from the command line (i.e. in the search path). # # The result: instead of the source browser generated by Doxygen, the links to # source code will now point to the output of htags. # The default value is: NO. # This tag requires that the tag SOURCE_BROWSER is set to YES. USE_HTAGS = NO # If the VERBATIM_HEADERS tag is set the YES then Doxygen will generate a # verbatim copy of the header file for each class for which an include is # specified. Set to NO to disable this. # See also: Section \class. # The default value is: YES. VERBATIM_HEADERS = YES #--------------------------------------------------------------------------- # Configuration options related to the alphabetical class index #--------------------------------------------------------------------------- # If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index of all # compounds will be generated. Enable this if the project contains a lot of # classes, structs, unions or interfaces. # The default value is: YES. ALPHABETICAL_INDEX = YES # The IGNORE_PREFIX tag can be used to specify a prefix (or a list of prefixes) # that should be ignored while generating the index headers. The IGNORE_PREFIX # tag works for classes, function and member names. The entity will be placed in # the alphabetical list under the first letter of the entity name that remains # after removing the prefix. # This tag requires that the tag ALPHABETICAL_INDEX is set to YES. IGNORE_PREFIX = #--------------------------------------------------------------------------- # Configuration options related to the HTML output #--------------------------------------------------------------------------- # If the GENERATE_HTML tag is set to YES, Doxygen will generate HTML output # The default value is: YES. GENERATE_HTML = YES # The HTML_OUTPUT tag is used to specify where the HTML docs will be put. If a # relative path is entered the value of OUTPUT_DIRECTORY will be put in front of # it. # The default directory is: html. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_OUTPUT = html # The HTML_FILE_EXTENSION tag can be used to specify the file extension for each # generated HTML page (for example: .htm, .php, .asp). # The default value is: .html. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_FILE_EXTENSION = .html # The HTML_HEADER tag can be used to specify a user-defined HTML header file for # each generated HTML page. If the tag is left blank Doxygen will generate a # standard header. # # To get valid HTML the header file that includes any scripts and style sheets # that Doxygen needs, which is dependent on the configuration options used (e.g. # the setting GENERATE_TREEVIEW). It is highly recommended to start with a # default header using # doxygen -w html new_header.html new_footer.html new_stylesheet.css # YourConfigFile # and then modify the file new_header.html. See also section "Doxygen usage" # for information on how to generate the default header that Doxygen normally # uses. # Note: The header is subject to change so you typically have to regenerate the # default header when upgrading to a newer version of Doxygen. For a description # of the possible markers and block names see the documentation. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_HEADER = # The HTML_FOOTER tag can be used to specify a user-defined HTML footer for each # generated HTML page. If the tag is left blank Doxygen will generate a standard # footer. See HTML_HEADER for more information on how to generate a default # footer and what special commands can be used inside the footer. See also # section "Doxygen usage" for information on how to generate the default footer # that Doxygen normally uses. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_FOOTER = # The HTML_STYLESHEET tag can be used to specify a user-defined cascading style # sheet that is used by each HTML page. It can be used to fine-tune the look of # the HTML output. If left blank Doxygen will generate a default style sheet. # See also section "Doxygen usage" for information on how to generate the style # sheet that Doxygen normally uses. # Note: It is recommended to use HTML_EXTRA_STYLESHEET instead of this tag, as # it is more robust and this tag (HTML_STYLESHEET) will in the future become # obsolete. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_STYLESHEET = # The HTML_EXTRA_STYLESHEET tag can be used to specify additional user-defined # cascading style sheets that are included after the standard style sheets # created by Doxygen. Using this option one can overrule certain style aspects. # This is preferred over using HTML_STYLESHEET since it does not replace the # standard style sheet and is therefore more robust against future updates. # Doxygen will copy the style sheet files to the output directory. # Note: The order of the extra style sheet files is of importance (e.g. the last # style sheet in the list overrules the setting of the previous ones in the # list). # Note: Since the styling of scrollbars can currently not be overruled in # Webkit/Chromium, the styling will be left out of the default doxygen.css if # one or more extra stylesheets have been specified. So if scrollbar # customization is desired it has to be added explicitly. For an example see the # documentation. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_EXTRA_STYLESHEET = # The HTML_EXTRA_FILES tag can be used to specify one or more extra images or # other source files which should be copied to the HTML output directory. Note # that these files will be copied to the base HTML output directory. Use the # $relpath^ marker in the HTML_HEADER and/or HTML_FOOTER files to load these # files. In the HTML_STYLESHEET file, use the file name only. Also note that the # files will be copied as-is; there are no commands or markers available. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_EXTRA_FILES = # The HTML_COLORSTYLE tag can be used to specify if the generated HTML output # should be rendered with a dark or light theme. # Possible values are: LIGHT always generates light mode output, DARK always # generates dark mode output, AUTO_LIGHT automatically sets the mode according # to the user preference, uses light mode if no preference is set (the default), # AUTO_DARK automatically sets the mode according to the user preference, uses # dark mode if no preference is set and TOGGLE allows a user to switch between # light and dark mode via a button. # The default value is: AUTO_LIGHT. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_COLORSTYLE = AUTO_LIGHT # The HTML_COLORSTYLE_HUE tag controls the color of the HTML output. Doxygen # will adjust the colors in the style sheet and background images according to # this color. Hue is specified as an angle on a color-wheel, see # https://en.wikipedia.org/wiki/Hue for more information. For instance the value # 0 represents red, 60 is yellow, 120 is green, 180 is cyan, 240 is blue, 300 # purple, and 360 is red again. # Minimum value: 0, maximum value: 359, default value: 220. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_COLORSTYLE_HUE = 220 # The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of the colors # in the HTML output. For a value of 0 the output will use gray-scales only. A # value of 255 will produce the most vivid colors. # Minimum value: 0, maximum value: 255, default value: 100. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_COLORSTYLE_SAT = 100 # The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to the # luminance component of the colors in the HTML output. Values below 100 # gradually make the output lighter, whereas values above 100 make the output # darker. The value divided by 100 is the actual gamma applied, so 80 represents # a gamma of 0.8, The value 220 represents a gamma of 2.2, and 100 does not # change the gamma. # Minimum value: 40, maximum value: 240, default value: 80. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_COLORSTYLE_GAMMA = 80 # If the HTML_DYNAMIC_MENUS tag is set to YES then the generated HTML # documentation will contain a main index with vertical navigation menus that # are dynamically created via JavaScript. If disabled, the navigation index will # consists of multiple levels of tabs that are statically embedded in every HTML # page. Disable this option to support browsers that do not have JavaScript, # like the Qt help browser. # The default value is: YES. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_DYNAMIC_MENUS = YES # If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML # documentation will contain sections that can be hidden and shown after the # page has loaded. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_DYNAMIC_SECTIONS = NO # If the HTML_CODE_FOLDING tag is set to YES then classes and functions can be # dynamically folded and expanded in the generated HTML source code. # The default value is: YES. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_CODE_FOLDING = YES # If the HTML_COPY_CLIPBOARD tag is set to YES then Doxygen will show an icon in # the top right corner of code and text fragments that allows the user to copy # its content to the clipboard. Note this only works if supported by the browser # and the web page is served via a secure context (see: # https://www.w3.org/TR/secure-contexts/), i.e. using the https: or file: # protocol. # The default value is: YES. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_COPY_CLIPBOARD = YES # Doxygen stores a couple of settings persistently in the browser (via e.g. # cookies). By default these settings apply to all HTML pages generated by # Doxygen across all projects. The HTML_PROJECT_COOKIE tag can be used to store # the settings under a project specific key, such that the user preferences will # be stored separately. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_PROJECT_COOKIE = # With HTML_INDEX_NUM_ENTRIES one can control the preferred number of entries # shown in the various tree structured indices initially; the user can expand # and collapse entries dynamically later on. Doxygen will expand the tree to # such a level that at most the specified number of entries are visible (unless # a fully collapsed tree already exceeds this amount). So setting the number of # entries 1 will produce a full collapsed tree by default. 0 is a special value # representing an infinite number of entries and will result in a full expanded # tree by default. # Minimum value: 0, maximum value: 9999, default value: 100. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_INDEX_NUM_ENTRIES = 100 # If the GENERATE_DOCSET tag is set to YES, additional index files will be # generated that can be used as input for Apple's Xcode 3 integrated development # environment (see: # https://developer.apple.com/xcode/), introduced with OSX 10.5 (Leopard). To # create a documentation set, Doxygen will generate a Makefile in the HTML # output directory. Running make will produce the docset in that directory and # running make install will install the docset in # ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find it at # startup. See https://developer.apple.com/library/archive/featuredarticles/Doxy # genXcode/_index.html for more information. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_DOCSET = NO # This tag determines the name of the docset feed. A documentation feed provides # an umbrella under which multiple documentation sets from a single provider # (such as a company or product suite) can be grouped. # The default value is: Doxygen generated docs. # This tag requires that the tag GENERATE_DOCSET is set to YES. DOCSET_FEEDNAME = "Doxygen generated docs" # This tag determines the URL of the docset feed. A documentation feed provides # an umbrella under which multiple documentation sets from a single provider # (such as a company or product suite) can be grouped. # This tag requires that the tag GENERATE_DOCSET is set to YES. DOCSET_FEEDURL = # This tag specifies a string that should uniquely identify the documentation # set bundle. This should be a reverse domain-name style string, e.g. # com.mycompany.MyDocSet. Doxygen will append .docset to the name. # The default value is: org.doxygen.Project. # This tag requires that the tag GENERATE_DOCSET is set to YES. DOCSET_BUNDLE_ID = org.doxygen.Project # The DOCSET_PUBLISHER_ID tag specifies a string that should uniquely identify # the documentation publisher. This should be a reverse domain-name style # string, e.g. com.mycompany.MyDocSet.documentation. # The default value is: org.doxygen.Publisher. # This tag requires that the tag GENERATE_DOCSET is set to YES. DOCSET_PUBLISHER_ID = org.doxygen.Publisher # The DOCSET_PUBLISHER_NAME tag identifies the documentation publisher. # The default value is: Publisher. # This tag requires that the tag GENERATE_DOCSET is set to YES. DOCSET_PUBLISHER_NAME = Publisher # If the GENERATE_HTMLHELP tag is set to YES then Doxygen generates three # additional HTML index files: index.hhp, index.hhc, and index.hhk. The # index.hhp is a project file that can be read by Microsoft's HTML Help Workshop # on Windows. In the beginning of 2021 Microsoft took the original page, with # a.o. the download links, offline (the HTML help workshop was already many # years in maintenance mode). You can download the HTML help workshop from the # web archives at Installation executable (see: # http://web.archive.org/web/20160201063255/http://download.microsoft.com/downlo # ad/0/A/9/0A939EF6-E31C-430F-A3DF-DFAE7960D564/htmlhelp.exe). # # The HTML Help Workshop contains a compiler that can convert all HTML output # generated by Doxygen into a single compiled HTML file (.chm). Compiled HTML # files are now used as the Windows 98 help format, and will replace the old # Windows help format (.hlp) on all Windows platforms in the future. Compressed # HTML files also contain an index, a table of contents, and you can search for # words in the documentation. The HTML workshop also contains a viewer for # compressed HTML files. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_HTMLHELP = NO # The CHM_FILE tag can be used to specify the file name of the resulting .chm # file. You can add a path in front of the file if the result should not be # written to the html output directory. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. CHM_FILE = # The HHC_LOCATION tag can be used to specify the location (absolute path # including file name) of the HTML help compiler (hhc.exe). If non-empty, # Doxygen will try to run the HTML help compiler on the generated index.hhp. # The file has to be specified with full path. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. HHC_LOCATION = # The GENERATE_CHI flag controls if a separate .chi index file is generated # (YES) or that it should be included in the main .chm file (NO). # The default value is: NO. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. GENERATE_CHI = NO # The CHM_INDEX_ENCODING is used to encode HtmlHelp index (hhk), content (hhc) # and project file content. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. CHM_INDEX_ENCODING = # The BINARY_TOC flag controls whether a binary table of contents is generated # (YES) or a normal table of contents (NO) in the .chm file. Furthermore it # enables the Previous and Next buttons. # The default value is: NO. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. BINARY_TOC = NO # The TOC_EXPAND flag can be set to YES to add extra items for group members to # the table of contents of the HTML help documentation and to the tree view. # The default value is: NO. # This tag requires that the tag GENERATE_HTMLHELP is set to YES. TOC_EXPAND = NO # The SITEMAP_URL tag is used to specify the full URL of the place where the # generated documentation will be placed on the server by the user during the # deployment of the documentation. The generated sitemap is called sitemap.xml # and placed on the directory specified by HTML_OUTPUT. In case no SITEMAP_URL # is specified no sitemap is generated. For information about the sitemap # protocol see https://www.sitemaps.org # This tag requires that the tag GENERATE_HTML is set to YES. SITEMAP_URL = # If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and # QHP_VIRTUAL_FOLDER are set, an additional index file will be generated that # can be used as input for Qt's qhelpgenerator to generate a Qt Compressed Help # (.qch) of the generated HTML documentation. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_QHP = NO # If the QHG_LOCATION tag is specified, the QCH_FILE tag can be used to specify # the file name of the resulting .qch file. The path specified is relative to # the HTML output folder. # This tag requires that the tag GENERATE_QHP is set to YES. QCH_FILE = # The QHP_NAMESPACE tag specifies the namespace to use when generating Qt Help # Project output. For more information please see Qt Help Project / Namespace # (see: # https://doc.qt.io/archives/qt-4.8/qthelpproject.html#namespace). # The default value is: org.doxygen.Project. # This tag requires that the tag GENERATE_QHP is set to YES. QHP_NAMESPACE = org.doxygen.Project # The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating Qt # Help Project output. For more information please see Qt Help Project / Virtual # Folders (see: # https://doc.qt.io/archives/qt-4.8/qthelpproject.html#virtual-folders). # The default value is: doc. # This tag requires that the tag GENERATE_QHP is set to YES. QHP_VIRTUAL_FOLDER = doc # If the QHP_CUST_FILTER_NAME tag is set, it specifies the name of a custom # filter to add. For more information please see Qt Help Project / Custom # Filters (see: # https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters). # This tag requires that the tag GENERATE_QHP is set to YES. QHP_CUST_FILTER_NAME = # The QHP_CUST_FILTER_ATTRS tag specifies the list of the attributes of the # custom filter to add. For more information please see Qt Help Project / Custom # Filters (see: # https://doc.qt.io/archives/qt-4.8/qthelpproject.html#custom-filters). # This tag requires that the tag GENERATE_QHP is set to YES. QHP_CUST_FILTER_ATTRS = # The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this # project's filter section matches. Qt Help Project / Filter Attributes (see: # https://doc.qt.io/archives/qt-4.8/qthelpproject.html#filter-attributes). # This tag requires that the tag GENERATE_QHP is set to YES. QHP_SECT_FILTER_ATTRS = # The QHG_LOCATION tag can be used to specify the location (absolute path # including file name) of Qt's qhelpgenerator. If non-empty Doxygen will try to # run qhelpgenerator on the generated .qhp file. # This tag requires that the tag GENERATE_QHP is set to YES. QHG_LOCATION = # If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files will be # generated, together with the HTML files, they form an Eclipse help plugin. To # install this plugin and make it available under the help contents menu in # Eclipse, the contents of the directory containing the HTML and XML files needs # to be copied into the plugins directory of eclipse. The name of the directory # within the plugins directory should be the same as the ECLIPSE_DOC_ID value. # After copying Eclipse needs to be restarted before the help appears. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_ECLIPSEHELP = NO # A unique identifier for the Eclipse help plugin. When installing the plugin # the directory name containing the HTML and XML files should also have this # name. Each documentation set should have its own identifier. # The default value is: org.doxygen.Project. # This tag requires that the tag GENERATE_ECLIPSEHELP is set to YES. ECLIPSE_DOC_ID = org.doxygen.Project # If you want full control over the layout of the generated HTML pages it might # be necessary to disable the index and replace it with your own. The # DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs) at top # of each HTML page. A value of NO enables the index and the value YES disables # it. Since the tabs in the index contain the same information as the navigation # tree, you can set this option to YES if you also set GENERATE_TREEVIEW to YES. # The default value is: YES. # This tag requires that the tag GENERATE_HTML is set to YES. DISABLE_INDEX = YES # The GENERATE_TREEVIEW tag is used to specify whether a tree-like index # structure should be generated to display hierarchical information. If the tag # value is set to YES, a side panel will be generated containing a tree-like # index structure (just like the one that is generated for HTML Help). For this # to work a browser that supports JavaScript, DHTML, CSS and frames is required # (i.e. any modern browser). Windows users are probably better off using the # HTML help feature. Via custom style sheets (see HTML_EXTRA_STYLESHEET) one can # further fine tune the look of the index (see "Fine-tuning the output"). As an # example, the default style sheet generated by Doxygen has an example that # shows how to put an image at the root of the tree instead of the PROJECT_NAME. # Since the tree basically has the same information as the tab index, you could # consider setting DISABLE_INDEX to YES when enabling this option. # The default value is: YES. # This tag requires that the tag GENERATE_HTML is set to YES. GENERATE_TREEVIEW = YES # When both GENERATE_TREEVIEW and DISABLE_INDEX are set to YES, then the # FULL_SIDEBAR option determines if the side bar is limited to only the treeview # area (value NO) or if it should extend to the full height of the window (value # YES). Setting this to YES gives a layout similar to # https://docs.readthedocs.io with more room for contents, but less room for the # project logo, title, and description. If either GENERATE_TREEVIEW or # DISABLE_INDEX is set to NO, this option has no effect. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. FULL_SIDEBAR = NO # The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values that # Doxygen will group on one line in the generated HTML documentation. # # Note that a value of 0 will completely suppress the enum values from appearing # in the overview section. # Minimum value: 0, maximum value: 20, default value: 4. # This tag requires that the tag GENERATE_HTML is set to YES. ENUM_VALUES_PER_LINE = 4 # When the SHOW_ENUM_VALUES tag is set doxygen will show the specified # enumeration values besides the enumeration mnemonics. # The default value is: NO. SHOW_ENUM_VALUES = NO # If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be used # to set the initial width (in pixels) of the frame in which the tree is shown. # Minimum value: 0, maximum value: 1500, default value: 250. # This tag requires that the tag GENERATE_HTML is set to YES. TREEVIEW_WIDTH = 250 # If the EXT_LINKS_IN_WINDOW option is set to YES, Doxygen will open links to # external symbols imported via tag files in a separate window. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. EXT_LINKS_IN_WINDOW = NO # If the OBFUSCATE_EMAILS tag is set to YES, Doxygen will obfuscate email # addresses. # The default value is: YES. # This tag requires that the tag GENERATE_HTML is set to YES. OBFUSCATE_EMAILS = YES # If the HTML_FORMULA_FORMAT option is set to svg, Doxygen will use the pdf2svg # tool (see https://github.com/dawbarton/pdf2svg) or inkscape (see # https://inkscape.org) to generate formulas as SVG images instead of PNGs for # the HTML output. These images will generally look nicer at scaled resolutions. # Possible values are: png (the default) and svg (looks nicer but requires the # pdf2svg or inkscape tool). # The default value is: png. # This tag requires that the tag GENERATE_HTML is set to YES. HTML_FORMULA_FORMAT = png # Use this tag to change the font size of LaTeX formulas included as images in # the HTML documentation. When you change the font size after a successful # Doxygen run you need to manually remove any form_*.png images from the HTML # output directory to force them to be regenerated. # Minimum value: 8, maximum value: 50, default value: 10. # This tag requires that the tag GENERATE_HTML is set to YES. FORMULA_FONTSIZE = 10 # The FORMULA_MACROFILE can contain LaTeX \newcommand and \renewcommand commands # to create new LaTeX commands to be used in formulas as building blocks. See # the section "Including formulas" for details. FORMULA_MACROFILE = # Enable the USE_MATHJAX option to render LaTeX formulas using MathJax (see # https://www.mathjax.org) which uses client side JavaScript for the rendering # instead of using pre-rendered bitmaps. Use this if you do not have LaTeX # installed or if you want to formulas look prettier in the HTML output. When # enabled you may also need to install MathJax separately and configure the path # to it using the MATHJAX_RELPATH option. # The default value is: NO. # This tag requires that the tag GENERATE_HTML is set to YES. USE_MATHJAX = NO # With MATHJAX_VERSION it is possible to specify the MathJax version to be used. # Note that the different versions of MathJax have different requirements with # regards to the different settings, so it is possible that also other MathJax # settings have to be changed when switching between the different MathJax # versions. # Possible values are: MathJax_2 and MathJax_3. # The default value is: MathJax_2. # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_VERSION = MathJax_2 # When MathJax is enabled you can set the default output format to be used for # the MathJax output. For more details about the output format see MathJax # version 2 (see: # http://docs.mathjax.org/en/v2.7-latest/output.html) and MathJax version 3 # (see: # http://docs.mathjax.org/en/latest/web/components/output.html). # Possible values are: HTML-CSS (which is slower, but has the best # compatibility. This is the name for Mathjax version 2, for MathJax version 3 # this will be translated into chtml), NativeMML (i.e. MathML. Only supported # for MathJax 2. For MathJax version 3 chtml will be used instead.), chtml (This # is the name for Mathjax version 3, for MathJax version 2 this will be # translated into HTML-CSS) and SVG. # The default value is: HTML-CSS. # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_FORMAT = HTML-CSS # When MathJax is enabled you need to specify the location relative to the HTML # output directory using the MATHJAX_RELPATH option. The destination directory # should contain the MathJax.js script. For instance, if the mathjax directory # is located at the same level as the HTML output directory, then # MATHJAX_RELPATH should be ../mathjax. The default value points to the MathJax # Content Delivery Network so you can quickly see the result without installing # MathJax. However, it is strongly recommended to install a local copy of # MathJax from https://www.mathjax.org before deployment. The default value is: # - in case of MathJax version 2: https://cdn.jsdelivr.net/npm/mathjax@2 # - in case of MathJax version 3: https://cdn.jsdelivr.net/npm/mathjax@3 # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_RELPATH = # The MATHJAX_EXTENSIONS tag can be used to specify one or more MathJax # extension names that should be enabled during MathJax rendering. For example # for MathJax version 2 (see # https://docs.mathjax.org/en/v2.7-latest/tex.html#tex-and-latex-extensions): # MATHJAX_EXTENSIONS = TeX/AMSmath TeX/AMSsymbols # For example for MathJax version 3 (see # http://docs.mathjax.org/en/latest/input/tex/extensions/index.html): # MATHJAX_EXTENSIONS = ams # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_EXTENSIONS = # The MATHJAX_CODEFILE tag can be used to specify a file with JavaScript pieces # of code that will be used on startup of the MathJax code. See the MathJax site # (see: # http://docs.mathjax.org/en/v2.7-latest/output.html) for more details. For an # example see the documentation. # This tag requires that the tag USE_MATHJAX is set to YES. MATHJAX_CODEFILE = # When the SEARCHENGINE tag is enabled Doxygen will generate a search box for # the HTML output. The underlying search engine uses JavaScript and DHTML and # should work on any modern browser. Note that when using HTML help # (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets (GENERATE_DOCSET) # there is already a search function so this one should typically be disabled. # For large projects the JavaScript based search engine can be slow, then # enabling SERVER_BASED_SEARCH may provide a better solution. It is possible to # search using the keyboard; to jump to the search box use + S # (what the is depends on the OS and browser, but it is typically # , /

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@@P @ @ @ @ @ @ P(@ @ @ @ @ @ @@ @ @  @ @` @ P @ @ @ @   @ @ @  @@ @ @ ` @ @ @ @ @   (@  @ @ 0 @$@ @$@ @$ @ H @  @  @ @ @ @  @@ @   @ P8@ ``0`0``0 7777metkit-1.22.0/tests/regressions/METK-103/METK-103.sh.in0000775000175000017500000000070515263642712022042 0ustar alastairalastair#!/usr/bin/env bash set -eux check="$" srcdir=@CMAKE_CURRENT_SOURCE_DIR@ bindir=@CMAKE_CURRENT_BINARY_DIR@ wdir=$bindir/METK-103 export ECCODES_DEFINITION_PATH="@ECCODES_DEFINITION_PATH@" ### prepare test for f in corrupted ok do cp $srcdir/$f $bindir done rm -f out aux $check ok out diff ok out touch empty $check corrupted out diff empty out cat corrupted ok corrupted > aux $check aux out diff ok out metkit-1.22.0/tests/regressions/METK-89/0000775000175000017500000000000015263642712017770 5ustar alastairalastairmetkit-1.22.0/tests/regressions/METK-89/CMakeLists.txt0000664000175000017500000000027215263642712022531 0ustar alastairalastair if ( HAVE_GRIB AND HAVE_BUILD_TOOLS ) ecbuild_configure_file( METK-89.sh.in METK-89.sh @ONLY ) ecbuild_add_test( TYPE SCRIPT COMMAND METK-89.sh ) endif() metkit-1.22.0/tests/regressions/METK-89/METK-89.sh.in0000775000175000017500000000375115263642712021740 0ustar alastairalastair#!/usr/bin/env bash set -eux parse="$" srcdir=@CMAKE_CURRENT_SOURCE_DIR@ bindir=@CMAKE_CURRENT_BINARY_DIR@ wdir=$bindir/METK-89 export ECCODES_DEFINITION_PATH="@ECCODES_DEFINITION_PATH@" ### cleanup and prepare test cat > req < req < req < req.porcelain < req.json < list < content #cmp list content metkit-1.22.0/tests/test_c_api.c0000664000175000017500000000132315263642712016704 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ /// @file test_c_api.c /// @date Dec 2024 /// @author Christopher Bradley #include #include "metkit/api/metkit_c.h" int main(int argc, char** argv) { const char* version = metkit_version(); metkit_error_t err = metkit_initialise(); fprintf(stdout, "MetKit version: %s\n", version); return 0; } metkit-1.22.0/tests/expand/0000775000175000017500000000000015263642712015706 5ustar alastairalastairmetkit-1.22.0/tests/expand/MARSC-233 copy.expected0000664000175000017500000000070015263642712021533 0ustar alastairalastairRETRIEVE, DATASET = tigge, CLASS = TI, TYPE = FC, STREAM = OPER, EXPVER = prod, REPRES = SH, LEVTYPE = PL, LEVELIST = 250/500/850, PARAM = 156, DATE = 20231224, TIME = 0000/1200, STEP = 0, ORIGIN = RKSL, TARGET = reference.data, RESOL = AUTO, AREA = 90/0/-90/359.75, GRID = .25/.25, PADDING = 0metkit-1.22.0/tests/expand/MARSC-253.expected0000664000175000017500000000044215263642712020605 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = TF, STREAM = ENFO, EXPVER = 0001, REPRES = BU, OBSTYPE = 32, DATE = 20060112, TIME = 0000/1200, STEP = 0, DOMAIN = G, TARGET = data.reference, DUPLICATES = KEEP metkit-1.22.0/tests/expand/MARSC-227.expected0000664000175000017500000000100715263642712020604 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = FC, STREAM = OPER, EXPVER = 0001, REPRES = GG, LEVTYPE = SFC, PARAM = 33, DATE = 20231221, TIME = 0000, STEP = 0, DOMAIN = G, TARGET = reference.zcbyW7.data, RESOL = AUTO, GRID = .125/.125, PADDING = 0, USE = INFREQUENT metkit-1.22.0/tests/expand/MARSC-245.expected0000664000175000017500000000062415263642712020610 0ustar alastairalastairRETRIEVE, CLASS = MS, COUNTRY = IT, MODEL = HRM, BCMODEL = IFS, ICMODEL = MVOI, DOMAIN = EUROATL, STREAM = OPER, TYPE = FG, EXPVER = 0001, LEVTYPE = 110, PARAM = 201033, TIME = 1800, DATE = 20040102, STEP = 6, LEVELIST = 1, TARGET = reference.data, GRIB = ECMWFmetkit-1.22.0/tests/expand/MARSC-244.req0000664000175000017500000000026215263642712017573 0ustar alastairalastairretrieve, DATE=20130225,TIME=0000,ORIGIN=SRNWPPEPS-DWD-EUA,STEP=3,LEVTYPE=SFC,NUMBER=1,PARAM=166,EXPVER=test,CLASS=TI,MODEL=LAM,TYPE=PF,STREAM=ENFO, target=reference.datametkit-1.22.0/tests/expand/MARSC-251.expected0000664000175000017500000000056415263642712020610 0ustar alastairalastairRETRIEVE, CLASS = TI, TYPE = CF, STREAM = ENFO, EXPVER = ALL, REPRES = SH, LEVTYPE = SFC, PARAM = 167, DATE = 20250414, TIME = 1200, STEP = 24, ORIGIN = ALL, TARGET = data.reference, PADDING = 0, PROCESS = LOCAL, EXPECT = ANY, NUMBER = 0metkit-1.22.0/tests/expand/MARSC-237.re0000664000175000017500000000030715263642712017414 0ustar alastairalastairretrieve, area=90/-180/-90/180,class=od,date=2024-01-01,expver=1,grid=0.25/0.25,levtype=sfc,padding=0,param=mslp,step=0/to/120/by/3,stream=oper,time=00:00,type=fc, target="reference.Hx2aUM.data" metkit-1.22.0/tests/expand/MARSC-252.req0000664000175000017500000000041015263642712017565 0ustar alastairalastairretrieve, class=od, stream=da, type=an, levtype=sfc, levelist=off, resol=off, date=20250416, time=00, step=00, param=tcc/10u/10v/2t/msl, param=tcc, repres=gg, format=p, expver=0001, target=data.reference metkit-1.22.0/tests/expand/MARSC-224.expected0000664000175000017500000000126715263642712020611 0ustar alastairalastair RETRIEVE, CLASS = TI, TYPE = FC, STREAM = OPER, EXPVER = prod, REPRES = SH, LEVTYPE = SFC, PARAM = 151, DATE = 20231226, TIME = 1200, STEP = 0/6/12/18/24/30/36/42/48/54/60/66/72/78/84/90/96/102/108/114/120/126/132/138/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/240, NUMBER = ALL, ORIGIN = ECMF, TARGET = reference.OkV8i4.data, RESOL = AUTO, GRID = .5/.5, PADDING = 0, PROCESS = LOCAL metkit-1.22.0/tests/expand/MARSC-242.expected0000664000175000017500000000037715263642712020612 0ustar alastairalastairRETRIEVE, CLASS = E4, TYPE = CL, STREAM = MODA, EXPVER = 0001, REPRES = SH, LEVTYPE = ML, LEVELIST = 1, PARAM = 155, DATE = JAN, DOMAIN = G, TARGET = reference.datametkit-1.22.0/tests/expand/MARSC-242.req0000664000175000017500000000021015263642712017562 0ustar alastairalastairretrieve, DOMAIN=G,LEVTYPE=ML,LEVELIST=1,DATE=JAN,PARAM=155.128,CLASS=E4,TYPE=CL,STREAM=MODA,EXPVER=0001, target=reference.data metkit-1.22.0/tests/expand/MARSC-223.expected0000664000175000017500000000101015263642712020572 0ustar alastairalastair RETRIEVE, CLASS = OD, TYPE = FC, STREAM = OPER, EXPVER = 0001, REPRES = GG, LEVTYPE = SFC, PARAM = 33, DATE = 20231221, TIME = 0000, STEP = 0, DOMAIN = G, TARGET = reference.zcbyW7.data, RESOL = AUTO, GRID = .125/.125, PADDING = 0, USE = INFREQUENT metkit-1.22.0/tests/expand/MARSC-225.req0000664000175000017500000000027115263642712017572 0ustar alastairalastairretrieve, class=ti,date=2023-12-30,expver=prod,grid=0.2/0.2,levtype=sfc,padding=0,param=167,step=0/to/360/by/6,time=00:00:00,type=pf,number=1,origin=ecmf, target="reference.8nWO8K.data"metkit-1.22.0/tests/expand/MARSC-241.expected0000664000175000017500000000047115263642712020604 0ustar alastairalastairRETRIEVE, CLASS = RD, TYPE = FC, STREAM = OPER, EXPVER = f36f, REPRES = SH, LEVTYPE = ML, LEVELIST = 1, PARAM = 210073/210074, DATE = 20041015, TIME = 1200, STEP = 0, DOMAIN = G, TARGET = reference.datametkit-1.22.0/tests/expand/MARSC-254.expected0000664000175000017500000000043715263642712020612 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = OB, STREAM = OPER, EXPVER = 0001, REPRES = BU, OBSTYPE = 1, DATE = 20250414, TIME = 0000, RANGE = 1439, DOMAIN = G, TARGET = data.reference, DUPLICATES = KEEP metkit-1.22.0/tests/expand/MARSC-267.req0000664000175000017500000000036615263642712017605 0ustar alastairalastairretrieve,area=40/-180/-40/180,class=s2,date=2024-01-11,expver=prod,levtype=pl,padding=0,param=130,step=0/to/1104/by/24,stream=enfh,time=00:00:00,type=pf,levelist=200/300/500/700/850/925/1000,number=1,origin=ecmf,hdate=2004-01-11,target=target.outmetkit-1.22.0/tests/expand/MARSC-236.expected0000664000175000017500000000071415263642712020610 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = AN, STREAM = OPER, EXPVER = 0001, REPRES = GG, LEVTYPE = SFC, PARAM = 134/137/165/166/167/168/235, DATE = 20240102, TIME = 0000, STEP = 0, DOMAIN = G, TARGET = data.reference, RESOL = AV, ACCURACY = 12, STYLE = DISSEMINATION, AREA = 90/0/-90/359.5, GRID = .5/.5, PADDING = 0 metkit-1.22.0/tests/expand/MARSC-385.req0000664000175000017500000000041115263642712017575 0ustar alastairalastairretrieve, area=39.5/140/39.5/140, class=od, date=20201101, expver=1, grid=0.1/0.1, number=1, padding=0, param=229.140/232.140/245.140, step=9, stream=waef, time=00/06/12/18, type=pf, target=reference.0GhkzD.data metkit-1.22.0/tests/expand/MARSC-225.expected0000664000175000017500000000137415263642712020611 0ustar alastairalastairRETRIEVE, CLASS = TI, TYPE = PF, STREAM = ENFO, EXPVER = prod, REPRES = SH, LEVTYPE = SFC, PARAM = 167, DATE = 20231230, TIME = 0000, STEP = 0/6/12/18/24/30/36/42/48/54/60/66/72/78/84/90/96/102/108/114/120/126/132/138/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/240/246/252/258/264/270/276/282/288/294/300/306/312/318/324/330/336/342/348/354/360, NUMBER = 1, ORIGIN = ECMF, TARGET = reference.8nWO8K.data, RESOL = AUTO, GRID = .2/.2, PADDING = 0, PROCESS = LOCALmetkit-1.22.0/tests/expand/MARSC-249.req0000664000175000017500000000021415263642712017575 0ustar alastairalastairretrieve, levtype=pl, level=1000/500, date=20250416, param=t, accuracy=REDUCED, grid=5/5, target=data.reference metkit-1.22.0/tests/expand/MARSC-385.expected0000664000175000017500000000067715263642712020625 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = PF, STREAM = WAEF, EXPVER = 0001, REPRES = SH, LEVTYPE = SFC, PARAM = 140229/140232/140245, DATE = 20201101, TIME = 0000/0600/1200/1800, STEP = 9, NUMBER = 1, DOMAIN = G, TARGET = reference.0GhkzD.data, RESOL = AUTO, AREA = 39.5/140/39.5/140, GRID = .1/.1, PADDING = 0 metkit-1.22.0/tests/expand/MARSC-240.expected0000664000175000017500000000072215263642712020602 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = OF, STREAM = OCEA, EXPVER = 0001, REPRES = SH, LEVTYPE = DP, LEVELIST = 0, PARAM = 151145, DATE = 20070601, TIME = 0000, RANGE = 264, STEP = 288, NUMBER = 0, DOMAIN = G, SYSTEM = 2, METHOD = 1, PRODUCT = TIMS, SECTION = Z, LATITUDE = -9.967, TARGET = reference.0DY4f2.data metkit-1.22.0/tests/expand/MARSC-248.expected0000664000175000017500000000051315263642712020610 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = AN, STREAM = OPER, EXPVER = 0001, REPRES = SH, LEVTYPE = PL, LEVELIST = 1000/500, PARAM = 130, DATE = 20250416, TIME = 1200, STEP = 0, DOMAIN = G, TARGET = data.reference, ACCURACY = 8 metkit-1.22.0/tests/expand/MARSC-258.expected0000664000175000017500000000053515263642712020615 0ustar alastairalastairRETRIEVE, CLASS = RD, TYPE = FC, STREAM = LWDA, EXPVER = h3f7, REPRES = SH, LEVTYPE = PL, LEVELIST = 1000/850/700/500/400/300, PARAM = 129, DATE = 20181101, TIME = 0000, STEP = ALL, ANOFFSET = 9, DOMAIN = G, TARGET = data.reference metkit-1.22.0/tests/expand/MARSC-255.expected0000664000175000017500000000063715263642712020615 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = AN, STREAM = OPER, EXPVER = 0001, REPRES = SH, LEVTYPE = ML, LEVELIST = 50, PARAM = 248, DATE = 20250416, TIME = 1200, STEP = 0, DOMAIN = G, TARGET = data.reference, RESOL = AUTO, INTERPOLATION = BILINEAR, AREA = 75/60/10/-20, GRID = 2.5/2.5 metkit-1.22.0/tests/expand/MARSC-252.expected0000664000175000017500000000043515263642712020606 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = AN, STREAM = OPER, EXPVER = 0001, REPRES = GG, LEVTYPE = SFC, PARAM = 164, DATE = 20250416, TIME = 0000, STEP = 0, DOMAIN = G, TARGET = data.reference metkit-1.22.0/tests/expand/MARSC-264.req0000664000175000017500000000045315263642712017577 0ustar alastairalastairretrieve, class=od, type=fcmax, stream=sfmm, expver=0001, repres=gg, levtype=sfc, param=167, date=19911001, fcmonth=02/03/04, time=0000, number=0/1/2/3/4, domain=g, system=02, method=01, source="mod.cl.surface", target="data.reference"metkit-1.22.0/tests/expand/MARSC-232.req0000664000175000017500000000035515263642712017573 0ustar alastairalastairretrieve, area=85.000/-180.000/-60.000/180.000,class=od,date=20231003/to/20231003,expver=1,grid=0.100/0.100,levtype=sfc,padding=0,param=144.128,step=0/to/12/by/1,stream=oper,time=00/12,type=fc,dataset=mars, target=reference.data metkit-1.22.0/tests/expand/MARSC-233.req0000664000175000017500000000033515263642712017572 0ustar alastairalastairretrieve,area=90.0/0.0/-90.0/359.75,class=ti,date=20231224,expver=prod,grid=0.25/0.25,levtype=pl,padding=0,param=156,step=0,time=0000/1200,type=fc,levelist=250/500/850,origin=rksl,dataset=tigge, target=reference.data metkit-1.22.0/tests/expand/MARSC-255.req0000664000175000017500000000025415263642712017576 0ustar alastairalastairretrieve, date=20250416, area=75/60/10/-20, grid=2.5/2.5, levtype=ml, levelist=50, param=248, interpolation=bilinear, target=data.reference metkit-1.22.0/tests/expand/MARSC-241.req0000664000175000017500000000024315263642712017567 0ustar alastairalastairretrieve, DOMAIN=G,LEVTYPE=ML,LEVELIST=1,DATE=20041015,TIME=1200,STEP=0,PARAM=73.210/74.210,CLASS=RD,TYPE=FC,STREAM=OPER,EXPVER=f36f, target=reference.datametkit-1.22.0/tests/expand/MARSC-247.req0000664000175000017500000000012615263642712017575 0ustar alastairalastair retrieve, class=rd, date=20250413, expver=aaaa, target=data.referencemetkit-1.22.0/tests/expand/MARSC-248.req0000664000175000017500000000017215263642712017577 0ustar alastairalastairretrieve, levtype=pl, level=1000/500, date=20250416, param=t, accuracy=LOW, target=data.reference metkit-1.22.0/tests/expand/MARSC-251.req0000664000175000017500000000031415263642712017567 0ustar alastairalastairretrieve, class=ti, date=20250414, time=12, origin=all, expver=all, type=cf, stream=enfo, levtype=sfc, param=2t, step=24, expect=any, target=data.reference metkit-1.22.0/tests/expand/MARSC-245.req0000664000175000017500000000032215263642712017571 0ustar alastairalastairretrieve, DOMAIN=EUROATL,LEVTYPE=110,LEVELIST=1,DATE=20040102,TIME=1800,STEP=6,PARAM=33.201,CLASS=MS,TYPE=FG,STREAM=OPER,EXPVER=0001,COUNTRY=IT,MODEL=HRM,BCMODEL=IFS,ICMODEL=MVOI, target=reference.data metkit-1.22.0/tests/expand/MARSC-263.req0000664000175000017500000000050315263642712017572 0ustar alastairalastairretrieve, levelist=0/5, section=h, stream=ocea, system=3, method=1, number=0/to/4, time=00, levtype=dp, product=inst, expver=1, param=129/130/145, class=od, date=20120101, type=of, step=24/to/96/by/24, expect=60, database=marsod, target=data.referencemetkit-1.22.0/tests/expand/MARSC-247.expected0000664000175000017500000000050715263642712020612 0ustar alastairalastairRETRIEVE, CLASS = RD, TYPE = AN, STREAM = OPER, EXPVER = aaaa, REPRES = SH, LEVTYPE = PL, LEVELIST = 1000/850/700/500/400/300, PARAM = 129, DATE = 20250413, TIME = 1200, STEP = 0, DOMAIN = G, TARGET = data.reference metkit-1.22.0/tests/expand/MARSC-233.expected0000664000175000017500000000073115263642712020604 0ustar alastairalastairRETRIEVE, DATASET = tigge, CLASS = TI, TYPE = FC, STREAM = OPER, EXPVER = prod, REPRES = SH, LEVTYPE = PL, LEVELIST = 250/500/850, PARAM = 156, DATE = 20231224, TIME = 0000/1200, STEP = 0, ORIGIN = RKSL, TARGET = reference.data, RESOL = AUTO, AREA = 90/0/-90/359.75, GRID = .25/.25, PADDING = 0, PROCESS = LOCAL metkit-1.22.0/tests/expand/MARSC-231.req0000664000175000017500000000036015263642712017566 0ustar alastairalastairretrieve, area=58./-10./35./80,class=od,date=20231231,expver=1,grid=0.1/0.1,levtype=surf,param=2t,step=0,stream=oper,time=00:00:00/12:00:00,type=fc,target=target.bbafa703-e7da-4383-8c34-d36a7cbee4f5,repres=gg, target="reference.vEDx0X.data"metkit-1.22.0/tests/expand/MARSC-234.expected0000664000175000017500000000057315263642712020611 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = FC, STREAM = OPER, EXPVER = 0001, REPRES = GG, LEVTYPE = SFC, PARAM = 228022, DATE = 20231220, TIME = 1200, STEP = 0, DOMAIN = G, TARGET = reference.A0FgVE.data, RESOL = AUTO, AREA = 73.5/-27/33/45, GRID = .125/.125 metkit-1.22.0/tests/expand/MARSC-232.expected0000664000175000017500000000067115263642712020606 0ustar alastairalastairRETRIEVE, DATASET = mars, CLASS = OD, TYPE = FC, STREAM = OPER, EXPVER = 0001, REPRES = GG, LEVTYPE = SFC, PARAM = 144, DATE = 20231003, TIME = 0000/1200, STEP = 0/1/2/3/4/5/6/7/8/9/10/11/12, DOMAIN = G, TARGET = reference.data, RESOL = AUTO, AREA = 85/-180/-60/180, GRID = .1/.1, PADDING = 0 metkit-1.22.0/tests/expand/PGEN-569.req0000664000175000017500000000050615263642712017472 0ustar alastairalastairdisseminate, expver = 80, class = mc, stream = oper, time = 0/12, type = an, step = 0, levtype = ml, levelist = 1, param = u/v, date = 20260420metkit-1.22.0/tests/expand/MARSC-261.expected0000664000175000017500000000063215263642712020605 0ustar alastairalastair RETRIEVE, CLASS = OD, TYPE = PF, STREAM = ENFO, EXPVER = 0001, REPRES = SH, LEVTYPE = SFC, PARAM = 167/165/166/164/228, DATE = 20250416, TIME = 0000, STEP = 6/12, NUMBER = 1/2, DOMAIN = G, TARGET = data.reference, RESOL = N128, AREA = 70.5/-21/30/40.5, GRID = 1.5/1.5metkit-1.22.0/tests/expand/MARSC-244.expected0000664000175000017500000000060215263642712020603 0ustar alastairalastairRETRIEVE, CLASS = TI, TYPE = PF, STREAM = ENFO, EXPVER = test, MODEL = LAM, REPRES = SH, LEVTYPE = SFC, PARAM = 166, DATE = 20130225, TIME = 0000, STEP = 3, NUMBER = 1, ORIGIN = SRNWPPEPS-DWD-EUA, TARGET = reference.data, PADDING = 0, PROCESS = LOCALmetkit-1.22.0/tests/expand/MARSC-267.expected0000664000175000017500000000114715263642712020615 0ustar alastairalastairRETRIEVE, CLASS = S2, TYPE = PF, STREAM = ENFH, EXPVER = prod, REPRES = SH, LEVTYPE = PL, LEVELIST = 200/300/500/700/850/925/1000, PARAM = 130, DATE = 20240111, HDATE = 20040111, TIME = 0000, STEP = 0/24/48/72/96/120/144/168/192/216/240/264/288/312/336/360/384/408/432/456/480/504/528/552/576/600/624/648/672/696/720/744/768/792/816/840/864/888/912/936/960/984/1008/1032/1056/1080/1104, NUMBER = 1, ORIGIN = ECMF, TARGET = target.out, AREA = 40/-180/-40/180, PADDING = 0metkit-1.22.0/tests/expand/MARSC-263.expected0000664000175000017500000000074015263642712020607 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = OF, STREAM = OCEA, EXPVER = 0001, REPRES = SH, LEVTYPE = DP, LEVELIST = 0/5, PARAM = 129/130/145, DATE = 20120101, TIME = 0000, STEP = 24/48/72/96, NUMBER = 0/1/2/3/4, DOMAIN = G, SYSTEM = 3, METHOD = 1, PRODUCT = INST, SECTION = H, TARGET = data.reference, DATABASE = marsod, EXPECT = 60metkit-1.22.0/tests/expand/MARSC-237.expected0000664000175000017500000000100715263642712020605 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = FC, STREAM = OPER, EXPVER = 0001, REPRES = GG, LEVTYPE = SFC, PARAM = 151, DATE = 20240101, TIME = 0000, STEP = 0/3/6/9/12/15/18/21/24/27/30/33/36/39/42/45/48/51/54/57/60/63/66/69/72/75/78/81/84/87/90/93/96/99/102/105/108/111/114/117/120, DOMAIN = G, TARGET = reference.Hx2aUM.data, RESOL = AUTO, AREA = 90/-180/-90/180, GRID = .25/.25, PADDING = 0 metkit-1.22.0/tests/expand/MARSC-223.req0000664000175000017500000000026615263642712017574 0ustar alastairalastairretrieve, date=2023-12-21,expver=1,grid=0.125/0.125,levtype=sfc,padding=0,param=33.128,step=0,stream=oper,time=00:00:00,type=fc,use=infrequent, target="reference.zcbyW7.data"metkit-1.22.0/tests/expand/MARSC-228.re0000664000175000017500000000022015263642712017406 0ustar alastairalastairretrieve, date=20210501,time=2101/to/2400,type=ob,target="/ec/fws2/sb/work/rd/erds/i7ug/LWDA/2021050200/an/scat", target="reference.xoB8Cx.data"metkit-1.22.0/tests/expand/MARSC-231.expected0000664000175000017500000000056715263642712020611 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = FC, STREAM = OPER, EXPVER = 0001, REPRES = GG, LEVTYPE = SFC, PARAM = 167, DATE = 20231231, TIME = 0000/1200, STEP = 0, DOMAIN = G, TARGET = reference.vEDx0X.data, RESOL = AUTO, AREA = 58/-10/35/80, GRID = .1/.1 metkit-1.22.0/tests/expand/MARSC-264.expected0000664000175000017500000000064015263642712020607 0ustar alastairalastair RETRIEVE, CLASS = OD, TYPE = FCMAX, STREAM = SFMM, EXPVER = 0001, REPRES = GG, LEVTYPE = SFC, PARAM = 167, DATE = 19911001, FCMONTH = 2/3/4, TIME = 0000, NUMBER = 0/1/2/3/4, DOMAIN = G, SYSTEM = 2, METHOD = 1, SOURCE = mod.cl.surface, TARGET = data.reference, DATABASE = filemetkit-1.22.0/tests/expand/MARSC-236.req0000664000175000017500000000033315263642712017573 0ustar alastairalastairretrieve, accuracy=12,area=90.0/0.0/-90.0/359.5,date=20240102,domain=g,grid=0.5/0.5,leve=off,levtype=sfc,padding=0,param=134/137/165/166/167/168/235,stream=da,style=dissemination,time=00,type=an, target="data.reference"metkit-1.22.0/tests/expand/MARSC-254.re0000664000175000017500000000013315263642712017410 0ustar alastairalastairretrieve, type=ob, date=-3, time=00, range=1439, target=data.reference metkit-1.22.0/tests/expand/MARSC-249.expected0000664000175000017500000000057015263642712020614 0ustar alastairalastairRETRIEVE, CLASS = OD, TYPE = AN, STREAM = OPER, EXPVER = 0001, REPRES = SH, LEVTYPE = PL, LEVELIST = 1000/500, PARAM = 130, DATE = 20250416, TIME = 1200, STEP = 0, DOMAIN = G, TARGET = data.reference, RESOL = AUTO, ACCURACY = 8, GRID = 5/5 metkit-1.22.0/tests/expand/MARSC-240.req0000664000175000017500000000036015263642712017566 0ustar alastairalastairretrieve, DOMAIN=G,LEVTYPE=DP,DATE=20070601,TIME=0000,STEP=288,PARAM=145.151,CLASS=OD,TYPE=OF,STREAM=OCEA,EXPVER=0001,NUMBER=0,SYSTEM=2,METHOD=1,PRODUCT=TIMS,SECTION=Z,LEVELIST=0.000,LATITUDE=-9.967,RANGE=264, target="reference.0DY4f2.data"metkit-1.22.0/tests/expand/MARSC-261.re0000664000175000017500000000045615263642712017416 0ustar alastairalastair retrieve, class=od, type=pf, stream=ef, expver=0001, repres=sh, levtype=sfc, param=167/165/166/164/228, date=20250416, time=0000, step=6/12, number=1/2, domain=g, resol=n128, area=70.5/-21.0/30.0/40.5, grid=1.5/1.5, target=data.referencemetkit-1.22.0/tests/expand/MARSC-253.req0000664000175000017500000000031215263642712017567 0ustar alastairalastairretrieve, class=od, type=tf, stream=enfo, expver=0001, repres=bu, obstype=32, date=20060112, time=0000/1200, domain=g, duplicates=keep, target=data.reference metkit-1.22.0/tests/expand/MARSC-234.req0000664000175000017500000000033515263642712017573 0ustar alastairalastairretrieve, area=Europe,class=od,date=2023-12-20,expver=1,grid=0.125/0.125,levtype=sfc,param=22.228,step=0,stream=oper,time=12:00:00,type=fc,target=target.27f72f51-1e60-437f-b1ce-e57129e2dff6, target="reference.A0FgVE.data"metkit-1.22.0/tests/expand/MARSC-258.req0000664000175000017500000000025715263642712017604 0ustar alastairalastairretrieve, class=rd, stream=lwda, levtype=pl, type=fc, expver=h3f7, step=all, anoffset=9, time=00, date=20181101, target=data.reference metkit-1.22.0/tests/expand/MARSC-227.req0000664000175000017500000000025615263642712017577 0ustar alastairalastairretrieve, date=2023-12-21,expver=1,grid=0.125/0.125,levtype=sfc,padding=0,param=33.128,step=0,stream=oper,time=00:00:00,type=fc,use=infrequent, target="reference.zcbyW7.data"metkit-1.22.0/tests/expand/MARSC-228.expected0000664000175000017500000000052715263642712020613 0ustar alastairalastairRETRIEVE,     CLASS      = OD,     TYPE       = OB,     STREAM     = OPER,     EXPVER     = 0001,     REPRES     = BU,     OBSTYPE    = 1,     DATE       = 20210501,     TIME       = 2101,     DOMAIN     = G,     TARGET     = reference.xoB8Cx.data,     DUPLICATES = KEEP,     RANGE      = 179metkit-1.22.0/tests/expand/PGEN-569.expected0000664000175000017500000000055315263642712020506 0ustar alastairalastairdisseminate, expver = 0080, class = mc, stream = oper, time = 0000/1200, type = an, step = 0, levtype = ml, levelist = 1, param = 131/132, date = 20260420, domain = gmetkit-1.22.0/tests/expand/MARSC-224.req0000664000175000017500000000027715263642712017577 0ustar alastairalastairretrieve, class=ti,date=20231226/to/20231226,expver=prod,grid=0.5/0.5,levtype=sfc,padding=0,param=151,step=0/to/240/by/6,time=12,type=fc,number=all,origin=ecmf, target="reference.OkV8i4.data"metkit-1.22.0/tests/CMakeLists.txt0000664000175000017500000001012115263642712017162 0ustar alastairalastair# (C) Copyright 1996- ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergovernmental organisation # nor does it submit to any jurisdiction. list(APPEND metkit_env "METKIT_HOME=${CMAKE_BINARY_DIR}") if( DEFINED ECCODES_DEFINITION_PATH ) list(APPEND metkit_env "ECCODES_DEFINITION_PATH=${ECCODES_DEFINITION_PATH}") elseif( IS_DIRECTORY "${CMAKE_BINARY_DIR}/share/eccodes/definitions" ) list(APPEND metkit_env "ECCODES_DEFINITION_PATH=${CMAKE_BINARY_DIR}/share/eccodes/definitions") endif() ecbuild_get_test_multidata( TARGET grib_get_data DIRNAME grib-api/test-data/data NAMES latlon.grib synthetic_2msgs.grib ) ecbuild_get_test_multidata( TARGET metkit_get_odb_data NAMES multiodb.odb multiodb2.odb NOCHECK ) configure_file(pl.grib pl.grib COPYONLY) configure_file(sol.grib sol.grib COPYONLY) add_custom_target(soft_link_expand_test_data ALL COMMAND ${CMAKE_COMMAND} -E create_symlink "${CMAKE_CURRENT_SOURCE_DIR}/expand" "${CMAKE_CURRENT_BINARY_DIR}/expand") ecbuild_add_test( TARGET metkit_test_multihandle CONDITION HAVE_GRIB INCLUDES "${ECCODES_INCLUDE_DIRS}" SOURCES test_multihandle.cc LIBS metkit NO_AS_NEEDED TEST_DEPENDS grib_get_data ENVIRONMENT "${metkit_env}" ) ecbuild_add_test( TARGET "metkit_test_codes_decoder" CONDITION HAVE_GRIB OR HAVE_BUFR SOURCES "test_codes_decoder.cc" INCLUDES "${ECKIT_INCLUDE_DIRS}" "${ECCODES_INCLUDE_DIR}" LIBS metkit NO_AS_NEEDED ENVIRONMENT "${metkit_env}" ) ecbuild_add_test( TARGET metkit_test_odbsplitter CONDITION HAVE_ODB SOURCES test_odbsplitter.cc INCLUDES "${ECKIT_INCLUDE_DIRS}" TEST_DEPENDS metkit_get_odb_data NO_AS_NEEDED LIBS metkit ) ecbuild_add_test( TARGET metkit_test_codes_api CONDITION HAVE_GRIB OR HAVE_BUFR SOURCES test_codes_api.cc INCLUDES "${ECKIT_INCLUDE_DIRS}" ENVIRONMENT "${metkit_env}" NO_AS_NEEDED LIBS metkit) foreach( test c_api context date expand filter hypercube integer_range matcher language mars_language mars_language_strict obstype param_axis request step steprange_axis time type_levelist typesfactory ) ecbuild_add_test( TARGET "metkit_test_${test}" SOURCES "test_${test}.cc" INCLUDES "${ECKIT_INCLUDE_DIRS}" ENVIRONMENT "${metkit_env}" NO_AS_NEEDED LIBS metkit) endforeach() # Compile C test ecbuild_add_test( TARGET metkit_test_c_compiled SOURCES test_c_api.c INCLUDES "${ECKIT_INCLUDE_DIRS}" LIBS metkit NO_AS_NEEDED ENVIRONMENT "${metkit_env}") # if ( HAVE_NETCDF ) # add_subdirectory(netcdf) # endif() add_subdirectory(regressions) add_subdirectory(marsgen) add_subdirectory(tools) if(HAVE_MARS2GRIB) add_subdirectory(mars2grib) endif() if(HAVE_MARS2MARS) add_subdirectory(mars2mars) endif() if(HAVE_GRIB2MARS AND HAVE_MARS2GRIB) add_subdirectory(grib2grib) endif() if( HAVE_PYTHON_METKIT_INTERFACE ) add_subdirectory(pymetkit) endif() metkit-1.22.0/tests/test_language.cc0000664000175000017500000003157215263642712017570 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include #include #include #include "eckit/exception/Exceptions.h" #include "eckit/testing/Test.h" #include "eckit/types/Date.h" #include "eckit/value/Value.h" #include "metkit/mars/MarsExpansion.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/MarsRequest.h" #include "metkit/mars/Type.h" #include "metkit/mars/TypeAny.h" #include "metkit/mars/TypeDate.h" #include "metkit/mars/TypeEnum.h" #include "metkit/mars/TypeExpver.h" #include "metkit/mars/TypeMixed.h" #include "metkit/mars/TypeParam.h" #include "metkit/mars/TypesFactory.h" #define EXPECT_EMPTY(request, key) EXPECT_EQUAL(request.values(key, true).size(), 0); namespace metkit::mars::test { struct Expected { const std::string verb; std::map> keyvalue; }; using Sequence = std::vector; Sequence make_random_sequence(Sequence::value_type min, Sequence::value_type max, Sequence::size_type N) { static std::mt19937 gen{std::random_device{}()}; static std::uniform_int_distribution dist(min, max); Sequence s(N); std::generate(s.begin(), s.end(), [&] { return dist(gen); }); return s; } Sequence make_power_sequence(Sequence::value_type min, Sequence::value_type max) { Sequence s; for (auto i = min; i <= max; i *= 2) { s.push_back(i); } return s; } void expect_mars(const std::string& text, const Expected& expected, bool strict = false) { auto r = MarsRequest::parse(text, strict); EXPECT_EQUAL(expected.verb, r.verb()); for (const auto& kv : expected.keyvalue) { auto v = r.values(kv.first); if (kv.first == "grid") { EXPECT(kv.second.size() == 1 && v.size() == 1 && v[0] == kv.second[0]); continue; } EXPECT_EQUAL(kv.second, kv.second); } } // ----------------------------------------------------------------------------- CASE("grid: regular Gaussian grids") { const Sequence F{16, 24, 32, 48, 64, 80, 96, 128, 160, 192, 200, 256, 320, 400, 512, 576, 640, 800, 912, 1024, 1280, 1600, 2000, 2560, 4000, 8000}; const auto Fn = [](const auto& other) { auto seq = make_random_sequence(2, 8000, 20); seq.insert(seq.end(), other.begin(), other.end()); return seq; }(F); for (const auto& n : Fn) { // known grids are expanded correctly (pattern matching doesn't work reliably here) Expected expected{"retrieve", {{"grid", {"F" + std::to_string(n)}}}}; if (std::find(F.begin(), F.end(), n) == F.end()) { expected.keyvalue.clear(); } expect_mars("ret, date=-1, grid=F" + std::to_string(n), expected); expect_mars("ret, date=-1, grid=f" + std::to_string(n), expected); expect_mars("ret, date=-1, grid=" + std::to_string(n), expected); } } // ----------------------------------------------------------------------------- CASE("grid: octahedral Gaussian grids") { for (const auto& n : make_random_sequence(2, 8000, 20 /*reduced number of tests*/)) { const Expected expected{"retrieve", {{"grid", {"O" + std::to_string(n)}}}}; expect_mars("ret, date=-1, grid=O" + std::to_string(n), expected); expect_mars("ret, date=-1, grid=o" + std::to_string(n), expected); } } // ----------------------------------------------------------------------------- CASE("grid: reduced classical Gaussian grids") { for (const auto& n : Sequence{32, 48, 64, 80, 96, 128, 160, 200, 256, 320, 400, 512, 640, 800, 1024, 1280, 8000}) { const Expected expected{"retrieve", {{"grid", {"N" + std::to_string(n)}}}}; expect_mars("ret, date=-1, grid=N" + std::to_string(n), expected); expect_mars("ret, date=-1, grid=n" + std::to_string(n), expected); } } // ----------------------------------------------------------------------------- CASE("grid: HEALPix grids") { for (const auto& n : make_power_sequence(1, 8192)) { const Expected expected{"retrieve", {{"grid", {"H" + std::to_string(n)}}}}; expect_mars("ret, date=-1, grid=H" + std::to_string(n), expected); expect_mars("ret, date=-1, grid=h" + std::to_string(n), expected); const Expected expected_ring{"retrieve", {{"grid", {"HR" + std::to_string(n)}}}}; expect_mars("ret, date=-1, grid=Hr" + std::to_string(n), expected_ring); expect_mars("ret, date=-1, grid=hR" + std::to_string(n), expected_ring); const Expected expected_nested{"retrieve", {{"grid", {"HN" + std::to_string(n)}}}}; expect_mars("ret, date=-1, grid=Hn" + std::to_string(n), expected_nested); expect_mars("ret, date=-1, grid=hN" + std::to_string(n), expected_nested); } } // ----------------------------------------------------------------------------- CASE("check language file") { EXPECT_THROWS(MarsLanguage::jsonFile("langauge.yaml")); eckit::Value file; EXPECT_NO_THROW(file = MarsLanguage::jsonFile("language.yaml")); EXPECT(file.contains("disseminate")); EXPECT(file.contains("archive")); EXPECT(file.contains("retrieve")); EXPECT(file.contains("read")); EXPECT(file.contains("get")); EXPECT(file.contains("list")); EXPECT(file.contains("compute")); EXPECT(file.contains("write")); EXPECT(file.contains("pointdb")); } CASE("check defaults and _clear_defaults") { { // check "retrieve" that _clear_defaults is not set auto request = MarsRequest::parse("retrieve,param=2t,step=10/to/12/by/1", true); EXPECT_EQUAL(request.values("class").size(), 1); EXPECT_EQUAL(request.values("class")[0], "od"); // check date is yesterday auto values = request.values("date"); EXPECT_EQUAL(values.size(), 1); std::ostringstream yesterday; yesterday << eckit::Date(-1).yyyymmdd(); EXPECT_EQUAL(values[0], yesterday.str()); } { // check "read" that _clear_defaults is set for class auto request = MarsRequest::parse("read,param=2t", true); EXPECT_EMPTY(request, "class"); EXPECT_EMPTY(request, "date"); EXPECT_EMPTY(request, "domain"); EXPECT_EMPTY(request, "expver"); EXPECT_EMPTY(request, "levelist"); EXPECT_EMPTY(request, "levtype"); EXPECT_EMPTY(request, "step"); EXPECT_EMPTY(request, "stream"); EXPECT_EMPTY(request, "time"); EXPECT_EMPTY(request, "type"); } { // check "list" that _clear_defaults is set for class auto request = MarsRequest::parse("list,param=2t", true); EXPECT_EQUAL(request.values("class").size(), 1); EXPECT_EQUAL(request.values("class")[0], "od"); EXPECT_EMPTY(request, "date"); EXPECT_EMPTY(request, "domain"); EXPECT_EMPTY(request, "expver"); EXPECT_EMPTY(request, "levelist"); EXPECT_EMPTY(request, "levtype"); EXPECT_EMPTY(request, "step"); EXPECT_EMPTY(request, "stream"); EXPECT_EMPTY(request, "time"); EXPECT_EMPTY(request, "type"); } { // check "pointdb" that _clear_defaults is set for class auto request = MarsRequest::parse("pointdb,param=2t", true); EXPECT_EMPTY(request, "class"); EXPECT_EMPTY(request, "date"); EXPECT_EMPTY(request, "domain"); EXPECT_EMPTY(request, "expver"); EXPECT_EMPTY(request, "levelist"); EXPECT_EMPTY(request, "levtype"); EXPECT_EMPTY(request, "step"); EXPECT_EMPTY(request, "stream"); EXPECT_EMPTY(request, "time"); EXPECT_EMPTY(request, "type"); } { // check "number" is not removed from the request for type=pf auto request = MarsRequest::parse("disseminate,class=od,stream=enfo,type=pf,number=2", true); EXPECT_EQUAL(request.values("number").size(), 1); EXPECT_EQUAL(request.values("number")[0], "2"); } { // check "number" is not removed from the request for type=wp auto request = MarsRequest::parse("disseminate,class=od,stream=enfo,type=wp,number=2", true); EXPECT_EQUAL(request.values("number").size(), 1); EXPECT_EQUAL(request.values("number")[0], "2"); } } CASE("check method: isData()") { EXPECT_EQUAL(MarsLanguage::get("retrieve").isData("class"), true); EXPECT_EQUAL(MarsLanguage::get("retrieve").isData("date"), true); EXPECT_EQUAL(MarsLanguage::get("retrieve").isData("time"), true); EXPECT_EQUAL(MarsLanguage::get("retrieve").isData("step"), true); EXPECT_EQUAL(MarsLanguage::get("retrieve").isData("number"), true); EXPECT_EQUAL(MarsLanguage::get("disseminate").isData("accuracy"), false); EXPECT_EQUAL(MarsLanguage::get("disseminate").isData("grid"), false); } CASE("check method: flatten()") { struct Output : public FlattenCallback { std::ostringstream oss; void operator()(const MarsRequest& request) override { oss << request << '\n'; } }; Output output; auto request = MarsRequest::parse( "retrieve,class=od,type=an,stream=oper,levtype=pl,time=1200,param=2t,step=10/to/14/by/2,levelist=300/400/" "500,date=20250717", true); MarsLanguage::get("retrieve").flatten(request, output); EXPECT_EQUAL(output.oss.str(), "retrieve,class=od,type=an,stream=oper,levtype=pl,date=20250717,time=1200,step=10,levelist=300,param=" "167,expver=0001,domain=g\n" "retrieve,class=od,type=an,stream=oper,levtype=pl,date=20250717,time=1200,step=10,levelist=400,param=" "167,expver=0001,domain=g\n" "retrieve,class=od,type=an,stream=oper,levtype=pl,date=20250717,time=1200,step=10,levelist=500,param=" "167,expver=0001,domain=g\n" "retrieve,class=od,type=an,stream=oper,levtype=pl,date=20250717,time=1200,step=12,levelist=300,param=" "167,expver=0001,domain=g\n" "retrieve,class=od,type=an,stream=oper,levtype=pl,date=20250717,time=1200,step=12,levelist=400,param=" "167,expver=0001,domain=g\n" "retrieve,class=od,type=an,stream=oper,levtype=pl,date=20250717,time=1200,step=12,levelist=500,param=" "167,expver=0001,domain=g\n" "retrieve,class=od,type=an,stream=oper,levtype=pl,date=20250717,time=1200,step=14,levelist=300,param=" "167,expver=0001,domain=g\n" "retrieve,class=od,type=an,stream=oper,levtype=pl,date=20250717,time=1200,step=14,levelist=400,param=" "167,expver=0001,domain=g\n" "retrieve,class=od,type=an,stream=oper,levtype=pl,date=20250717,time=1200,step=14,levelist=500,param=" "167,expver=0001,domain=g\n"); } CASE("check some types") { { EXPECT_THROWS(MarsLanguage::get("read").type("unknown")); EXPECT_THROWS(MarsLanguage::get("retrieve").type("unknown")); EXPECT_NO_THROW(MarsLanguage::get("retrieve").type("_hidden")); } { const auto& language = MarsLanguage::get("retrieve"); const auto* type = language.type("class"); EXPECT(dynamic_cast(type) != nullptr); type = language.type("param"); EXPECT(dynamic_cast(type) != nullptr); type = language.type("expver"); EXPECT(dynamic_cast(type) != nullptr); type = language.type("domain"); EXPECT(dynamic_cast(type) != nullptr); type = language.type("date"); EXPECT(dynamic_cast(type) != nullptr); type = language.type("grid"); EXPECT(dynamic_cast(type) != nullptr); EXPECT_EQUAL(type->multiple(), true); type = language.type("area"); EXPECT(dynamic_cast(type) != nullptr); EXPECT_EQUAL(type->multiple(), true); type = language.type("accuracy"); EXPECT(dynamic_cast(type) != nullptr); type = language.type("resol"); EXPECT(dynamic_cast(type) != nullptr); } { const auto& language = MarsLanguage::get("archive"); const auto* type = language.type("resol"); EXPECT(dynamic_cast(type) != nullptr); EXPECT_THROWS_AS(language.type("grid"), eckit::SeriousBug); EXPECT_THROWS_AS(language.type("area"), eckit::SeriousBug); } } // ----------------------------------------------------------------------------- } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_c_api.cc0000664000175000017500000002032015263642712017045 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ /// @file test_c_api.cc /// @date Dec 2024 /// @author Christopher Bradley #include #include #include #include #include "eckit/testing/Test.h" #include "eckit/types/Date.h" #include "metkit/api/metkit_c.h" #include "metkit/mars/MarsRequest.h" namespace metkit::test { using ::eckit::testing::TestException; // Wrapper around the C function calls that will throw an exception if the function fails // i.e. if the return value is not METKIT_SUCCESS void test_success(int e) { metkit_error_values_t err = static_cast(e); if (err != METKIT_SUCCESS) throw TestException("C-API error: " + std::string(metkit_get_error_string(err)), Here()); } void EXPECT_STR_EQUAL(const char* a, const char* b) { if (std::strcmp(a, b) != 0) { throw TestException("Expected: " + std::string(a) + " == " + std::string(b), Here()); } } // Fairly minimal test coverage CASE("metkit_marsrequest") { // ----------------------------------------------------------------- // Basics // ----------------------------------------------------------------- metkit_marsrequest_t* request{}; test_success(metkit_marsrequest_new(&request)); EXPECT(request); // set/get verb test_success(metkit_marsrequest_set_verb(request, "retrieve")); const char* verb{}; test_success(metkit_marsrequest_verb(request, &verb)); EXPECT_STR_EQUAL(verb, "retrieve"); // set array of values const char* dates[] = {"20200101", "20200102", "-1"}; test_success(metkit_marsrequest_set(request, "date", dates, 3)); // set single value const char* expver = "xxxx"; test_success(metkit_marsrequest_set_one(request, "expver", expver)); test_success(metkit_marsrequest_set_one(request, "param", "2t")); // check values bool has = false; test_success(metkit_marsrequest_has_param(request, "date", &has)); EXPECT(has); test_success(metkit_marsrequest_has_param(request, "random", &has)); EXPECT(!has); size_t count = 0; test_success(metkit_marsrequest_count_values(request, "date", &count)); EXPECT_EQUAL(count, 3); for (size_t i = 0; i < count; i++) { const char* value{}; test_success(metkit_marsrequest_value(request, "date", i, &value)); EXPECT_STR_EQUAL(value, dates[i]); } // ----------------------------------------------------------------- // Expand // ----------------------------------------------------------------- metkit_marsrequest_t* expandedRequest{}; test_success(metkit_marsrequest_new(&expandedRequest)); test_success(metkit_marsrequest_expand(request, false, true, expandedRequest)); // Check date expanded -1 -> yesterday test_success(metkit_marsrequest_count_values(expandedRequest, "date", &count)); EXPECT_EQUAL(count, 3); std::array dates_expanded; for (size_t i = 0; i < count; i++) { test_success(metkit_marsrequest_value(expandedRequest, "date", i, &dates_expanded[i])); } EXPECT_STR_EQUAL(dates_expanded[2], std::to_string(eckit::Date(-1).yyyymmdd()).c_str()); // check param expanded 2t -> 167 const char* param{}; test_success(metkit_marsrequest_value(expandedRequest, "param", 0, ¶m)); EXPECT_STR_EQUAL(param, "167"); // ----------------------------------------------------------------- // Merge // ----------------------------------------------------------------- metkit_marsrequest_t* req_manydates{}; test_success(metkit_marsrequest_new(&req_manydates)); const char* dates_many[] = {"19000101", "19000102", "19000103"}; test_success(metkit_marsrequest_set(req_manydates, "date", dates_many, 3)); test_success(metkit_marsrequest_merge(request, req_manydates)); test_success(metkit_marsrequest_count_values(request, "date", &count)); EXPECT_EQUAL(count, 6); // ----------------------------------------------------------------- // done metkit_marsrequest_delete(request); metkit_marsrequest_delete(expandedRequest); metkit_marsrequest_delete(req_manydates); } //----------------------------------------------------------------------------- CASE("metkit_requestiterator_t parsing") { metkit_requestiterator_t* it{}; test_success( metkit_parse_marsrequests("retrieve,date=-1,param=2t \n retrieve,date=20200102,param=2t,step=10/to/20/by/2", &it, true)); // two separate requests std::vector requests; metkit_iterator_status_t status; while ((status = metkit_requestiterator_next(it)) == METKIT_ITERATOR_SUCCESS) { metkit_marsrequest_t* req{}; test_success(metkit_marsrequest_new(&req)); EXPECT_EQUAL(metkit_requestiterator_current(it, req), METKIT_ITERATOR_SUCCESS); requests.push_back(req); } EXPECT_EQUAL(status, METKIT_ITERATOR_COMPLETE); EXPECT_EQUAL(requests.size(), 2); // check the date const char* date{}; test_success(metkit_marsrequest_value(requests[0], "date", 0, &date)); EXPECT_STR_EQUAL(date, std::to_string(eckit::Date(-1).yyyymmdd()).c_str()); // parser also calls expand test_success(metkit_marsrequest_value(requests[1], "date", 0, &date)); EXPECT_STR_EQUAL(date, "20200102"); // Check steps have been parsed size_t count = 0; test_success(metkit_marsrequest_count_values(requests[1], "step", &count)); EXPECT_EQUAL(count, 6); for (size_t i = 0; i < count; i++) { const char* step{}; test_success(metkit_marsrequest_value(requests[1], "step", i, &step)); EXPECT_STR_EQUAL(step, std::to_string(10 + i * 2).c_str()); } // cleanup metkit_requestiterator_delete(it); // NB: requests have been moved out of the iterator for (auto& req : requests) { metkit_marsrequest_delete(req); } } // Ensure that the param iterator works as expected CASE("metkit_paramiterator_t ") { std::string str = "retrieve,date=20200102,param=2t,step=10/to/20/by/2"; metkit_marsrequest_t* request{}; test_success(metkit_marsrequest_new(&request)); test_success(metkit_parse_marsrequest(str.c_str(), request, true)); metkit_paramiterator_t* it{}; test_success(metkit_marsrequest_params(request, &it)); metkit_iterator_status_t status; std::set keys; while ((status = metkit_paramiterator_next(it)) == METKIT_ITERATOR_SUCCESS) { const char* key{}; EXPECT_EQUAL(metkit_paramiterator_current(it, &key), METKIT_ITERATOR_SUCCESS); keys.insert(key); } EXPECT_EQUAL(status, METKIT_ITERATOR_COMPLETE); // Compare with C++ impl for consistency mars::MarsRequest req = mars::MarsRequest::parse(str, true); std::set keys_cpp; for (const auto& k : req.params()) { keys_cpp.insert(k); } EXPECT_EQUAL(keys, keys_cpp); test_success(metkit_paramiterator_delete(it)); test_success(metkit_marsrequest_delete(request)); } CASE("metkit_requestiterator_t 1 item") { // Edge case: verify iterator with one item works the same way. metkit_requestiterator_t* it{}; test_success(metkit_parse_marsrequests("retrieve,date=-1,param=2t", &it, true)); std::vector requests; metkit_iterator_status_t status; while ((status = metkit_requestiterator_next(it)) == METKIT_ITERATOR_SUCCESS) { metkit_marsrequest_t* req{}; test_success(metkit_marsrequest_new(&req)); EXPECT_EQUAL(metkit_requestiterator_current(it, req), METKIT_ITERATOR_SUCCESS); requests.push_back(req); } EXPECT_EQUAL(status, METKIT_ITERATOR_COMPLETE); EXPECT_EQUAL(requests.size(), 1); // cleanup metkit_requestiterator_delete(it); for (auto& req : requests) { metkit_marsrequest_delete(req); } } } // namespace metkit::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_obstype.cc0000664000175000017500000000524515263642712017470 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_obstype.cc /// @author Emanuele Danovaro /// @date July 2025 #include #include #include "eckit/testing/Test.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/Type.h" namespace metkit::mars::test { using ::eckit::UserError; //----------------------------------------------------------------------------- void assertTypeExpansion(const std::string& name, std::vector values, const std::vector& expected) { MarsLanguage::get("retrieve").type(name)->expand(values); EXPECT_EQUAL(expected, values); } CASE("Test Obstype expansions") { // times with units assertTypeExpansion("obstype", {"1"}, {"1"}); assertTypeExpansion("obstype", {"ssmi"}, {"126"}); assertTypeExpansion("obstype", {"trmm"}, {"129", "130"}); assertTypeExpansion("obstype", {"ti3r", "trmm"}, {"130", "129"}); assertTypeExpansion("obstype", {"130", "trmm"}, {"130", "129"}); assertTypeExpansion("obstype", {"trmm", "qscat"}, {"129", "130", "137", "138"}); { std::vector values{"sd"}; MarsLanguage::get("retrieve").type("obstype")->expand(values); std::vector expected{"121", "122", "123", "124", "210", "212", "213", "214", "216", "217", "218", "51", "53", "54", "55", "56", "57", "59", "60", "61", "62", "63", "65", "71", "72", "73", "75", "138", "139", "153", "155", "211", "240", "250", "126", "49", "127", "129", "130", "137", "206", "207", "208", "209", "156", "154", "201", "202", "252", "245", "246"}; EXPECT(values.size() >= expected.size()); std::set valuesSet(values.begin(), values.end()); EXPECT_EQUAL(values.size(), valuesSet.size()); for (const auto& v : expected) { EXPECT(valuesSet.find(v) != valuesSet.end()); } } EXPECT_THROWS_AS(assertTypeExpansion("obstype", {"foo"}, {""}), UserError); } //----------------------------------------------------------------------------- } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_time.cc0000664000175000017500000001046115263642712016735 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_time.cc /// @author Simon Smart /// @author Emanuele Danovaro /// @date April 2020 #include #include #include "eckit/testing/Test.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/Type.h" #include "metkit/mars/TypeTime.h" namespace metkit::mars::test { using ::eckit::BadTime; using ::eckit::BadValue; using ::eckit::Value; //----------------------------------------------------------------------------- void assertTypeExpansion(const std::string& name, std::vector values, const std::vector& expected) { MarsLanguage::get("retrieve").type(name)->expand(values); EXPECT_EQUAL(values.size(), expected.size()); EXPECT_EQUAL(expected, values); } void checkExpansion(const Type& tt, const std::string& value, const std::string& expected) { auto expanded = tt.tidy(value); EXPECT_EQUAL(expected, expanded); } CASE("Test TypeTime expansions") { TypeTime ttime("time", Value()); Type& tt(ttime); // 1 and 2-digit times checkExpansion(tt, "0", "0000"); checkExpansion(tt, "00", "0000"); checkExpansion(tt, "12", "1200"); checkExpansion(tt, "6", "0600"); checkExpansion(tt, "06", "0600"); // 3 and 4-digit times checkExpansion(tt, "000", "0000"); checkExpansion(tt, "0000", "0000"); checkExpansion(tt, "012", "0012"); checkExpansion(tt, "0012", "0012"); checkExpansion(tt, "1234", "1234"); checkExpansion(tt, "623", "0623"); checkExpansion(tt, "0623", "0623"); { EXPECT_THROWS_AS(auto vv = tt.tidy("675"), BadTime); } // 5 and 6-digit times checkExpansion(tt, "00000", "0000"); checkExpansion(tt, "001200", "0012"); checkExpansion(tt, "123400", "1234"); checkExpansion(tt, "062300", "0623"); checkExpansion(tt, "62300", "0623"); { // We don't support seconds yet. EXPECT_THROWS_AS(auto vv = tt.tidy("000012"), BadValue); } { // We don't support seconds yet. EXPECT_THROWS_AS(auto vv = tt.tidy("123456"), BadValue); } { // We don't support time > 24h EXPECT_THROWS_AS(auto vv = tt.tidy("283456"), BadValue); } // times with colons checkExpansion(tt, "0:0", "0000"); checkExpansion(tt, "00:00", "0000"); checkExpansion(tt, "00:00:00", "0000"); checkExpansion(tt, "0:12", "0012"); checkExpansion(tt, "00:12", "0012"); checkExpansion(tt, "12:34", "1234"); checkExpansion(tt, "6:23", "0623"); checkExpansion(tt, "06:23", "0623"); checkExpansion(tt, "00:12:00", "0012"); checkExpansion(tt, "12:34:00", "1234"); checkExpansion(tt, "06:23:00", "0623"); checkExpansion(tt, "6:23:00", "0623"); { EXPECT_THROWS_AS(auto vv = tt.tidy("00:62"), BadTime); } { // We don't support seconds yet. EXPECT_THROWS_AS(auto vv = tt.tidy("00:00:12"), BadValue); } { // We don't support seconds yet. EXPECT_THROWS_AS(auto vv = tt.tidy("12:34:56"), BadValue); } // times with units assertTypeExpansion("time", {"0h"}, {"0000"}); assertTypeExpansion("time", {"00H"}, {"0000"}); assertTypeExpansion("time", {"60m"}, {"0100"}); assertTypeExpansion("time", {"2h30m"}, {"0230"}); assertTypeExpansion("time", {"60s"}, {"0001"}); EXPECT_THROWS_AS(assertTypeExpansion("time", {"6s"}, {"0000"}), BadValue); EXPECT_THROWS_AS(assertTypeExpansion("time", {"25"}, {"0000"}), BadValue); // from to by assertTypeExpansion("time", {"0", "to", "18"}, {"0000", "0600", "1200", "1800"}); assertTypeExpansion("time", {"0", "to", "6", "by", "1"}, {"0000", "0100", "0200", "0300", "0400", "0500", "0600"}); assertTypeExpansion("time", {"0", "to", "1h30m", "by", "30m"}, {"0000", "0030", "0100", "0130"}); } //----------------------------------------------------------------------------- } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_expand.cc0000664000175000017500000021230415263642712017256 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ /// @file test_expand.cc /// @date Jan 2016 /// @author Florian Rathgeber /// @author Emanuele Danovaro #include #include #include #include "eckit/filesystem/LocalPathName.h" #include "eckit/filesystem/StdDir.h" #include "eckit/types/Date.h" #include "eckit/utils/StringTools.h" #include "metkit/mars/MarsExpansion.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/MarsParser.h" #include "metkit/mars/MarsRequest.h" #include "metkit/mars/Type.h" #include "eckit/testing/Test.h" #include "eckit/utils/Tokenizer.h" using namespace eckit::testing; namespace metkit::mars::test { namespace { using ExpectedVals = std::map>; /** * @brief We can specify a set of keys which should be ignored when not specified in the user request. * In case the user requests defines them, check them regardless. This is mean to ignore auto-injected * keys e.g. for resol. */ std::set ignore_{"repres", "resol"}; std::string date(long d) { if (d <= 0) { eckit::Date day(d); d = day.yyyymmdd(); } return std::to_string(d); } std::string date(std::string d) { if (d == "0" || d[0] == '-') { long dd = std::stol(d); eckit::Date day(dd); return std::to_string(day.yyyymmdd()); } return d; } struct ExpectedRequest { ExpectedRequest() = default; ExpectedRequest(std::string vrb, ExpectedVals vv, std::vector dd) : verb(vrb), vals(vv), dates(dd) {} ExpectedRequest(std::string vrb, ExpectedVals vv, std::vector dd) : verb(vrb), vals(vv) { dates.reserve(dd.size()); for (long d : dd) { dates.push_back(date(d)); } } std::string verb; ExpectedVals vals; std::vector dates; }; } // namespace //----------------------------------------------------------------------------- void expand(const MarsRequest& r, const ExpectedRequest& expected, std::set ignore) { try { EXPECT_EQUAL(expected.verb, r.verb()); for (const auto& e : expected.vals) { if (!r.has(e.first)) { if (ignore.find(e.first) != ignore.end()) { continue; } std::cerr << eckit::Colour::red << "Missing keyword: " << e.first << eckit::Colour::reset << std::endl; } EXPECT(r.has(e.first)); auto vv = r.values(e.first); if (e.first != "date") { // dates are verified at a later stage EXPECT_EQUAL(e.second.size(), vv.size()); } for (int i = 0; i < vv.size(); i++) { if (e.first == "grid") { EXPECT_EQUAL(eckit::StringTools::upper(e.second.at(i)), vv.at(i)); } else { if (e.first == "resol") { EXPECT_EQUAL(e.second.at(i), eckit::StringTools::lower(vv.at(i))); } else { EXPECT_EQUAL(e.second.at(i), vv.at(i)); } } } } if (expected.dates.size() > 0) { EXPECT(r.has("date")); auto dd = r.values("date"); EXPECT_EQUAL(expected.dates.size(), dd.size()); for (int i = 0; i < expected.dates.size(); i++) { EXPECT_EQUAL(date(expected.dates.at(i)), dd.at(i)); } } } catch (...) { std::cerr << "Error comparing " << r << " with " << expected.vals << " dates " << expected.dates << std::endl; throw; } } void expand(const MarsRequest& r, const std::string& verb, const ExpectedVals& expected, std::vector& dates, std::set ignore) { expand(r, {verb, expected, dates}, ignore); } void expand(const std::string& text, const std::string& verb, const ExpectedVals& expected, std::vector dates, bool strict = false) { MarsRequest r = MarsRequest::parse(text, strict); std::set ignore; std::string tt = eckit::StringTools::lower(text); for (const auto& i : ignore_) { auto idx = tt.find(i); if (idx == std::string::npos) { ignore.insert(i); } } expand(r, {verb, expected, dates}, ignore); } void parse(const std::string& req, ExpectedRequest& expected) { eckit::Tokenizer c(","); eckit::Tokenizer e("="); eckit::Tokenizer s("/"); eckit::StringList tokens; c(req, tokens); for (const auto& t : tokens) { auto tt = eckit::StringTools::trim(t); if (expected.verb.empty()) { expected.verb = eckit::StringTools::lower(tt); continue; } eckit::StringList kv; e(tt, kv); EXPECT_EQUAL(2, kv.size()); auto key = eckit::StringTools::lower(eckit::StringTools::trim(kv[0])); if (key == "date") { EXPECT_EQUAL(0, expected.dates.size()); } eckit::StringList vals; s(kv[1], vals); std::vector vv; for (auto v : vals) { auto val = eckit::StringTools::trim(v); if (key != "source" && key != "target" && key != "intgrid" && key != "grid") { val = eckit::StringTools::lower(val); } if (key == "date") { expected.dates.push_back(date(val)); } else { vv.push_back(val); } } if (key != "date") { expected.vals.emplace(key, vv); } } } void expand(const std::string& text, const std::string& expected, bool strict = false, std::vector dates = {}) { ExpectedRequest out; out.dates.reserve(dates.size()); for (long d : dates) { out.dates.push_back(date(d)); } parse(expected, out); MarsRequest r = MarsRequest::parse(text, strict); std::set ignore; std::string tt = eckit::StringTools::lower(text); for (const auto& i : ignore_) { auto idx = tt.find(i); if (idx == std::string::npos) { ignore.insert(i); } } expand(r, out, ignore); } void expand(const std::string& text, const std::vector& expected, bool strict = false, std::vector> dates = {}) { ExpectedVals out; std::istringstream in(text); std::vector reqs = MarsRequest::parse(in, strict); std::set ignore; std::string tt = eckit::StringTools::lower(text); for (const auto& i : ignore_) { auto idx = tt.find(i); if (idx == std::string::npos) { ignore.insert(i); } } ASSERT(dates.size() == 0 || dates.size() == expected.size()); EXPECT_EQUAL(expected.size(), reqs.size()); for (size_t i = 0; i < expected.size(); i++) { ExpectedRequest expectedReq; if (dates.size() != 0) { expectedReq.dates.reserve(dates.at(i).size()); for (long d : dates.at(i)) { expectedReq.dates.push_back(date(d)); } } parse(expected.at(i), expectedReq); expand(reqs.at(i), expectedReq, ignore); } } CASE("test_metkit_expand_1") { const char* text = "ret,date=-5/to/-1"; ExpectedVals expected{{"class", {"od"}}, {"domain", {"g"}}, {"expver", {"0001"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"levtype", {"pl"}}, {"param", {"129"}}, {"step", {"0"}}, {"stream", {"oper"}}, {"time", {"1200"}}, {"type", {"an"}}}; expand(text, "retrieve", expected, {-5, -4, -3, -2, -1}); const char* text2 = "ret,date=-5/to/-1."; expand(text2, "retrieve", expected, {-5, -4, -3, -2, -1}); const char* expectedStr = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=OPER,EXPVER=0001,REPRES=SH,LEVTYPE=PL,LEVELIST=1000/850/700/500/400/" "300,PARAM=129,TIME=1200,STEP=0,DOMAIN=G"; expand(text, expectedStr, false, {-5, -4, -3, -2, -1}); } CASE("test_metkit_expand_2") { { const char* text = "ret,date=-1"; ExpectedVals expected{{"class", {"od"}}, {"domain", {"g"}}, {"expver", {"0001"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"levtype", {"pl"}}, {"param", {"129"}}, {"step", {"0"}}, {"stream", {"oper"}}, {"time", {"1200"}}, {"type", {"an"}}}; expand(text, "retrieve", expected, {-1}); } { const char* text = "ret,levtype=ml"; ExpectedVals expected{{"class", {"od"}}, {"domain", {"g"}}, {"expver", {"0001"}}, {"levelist", {"1"}}, {"levtype", {"ml"}}, {"param", {"129"}}, {"step", {"0"}}, {"stream", {"oper"}}, {"time", {"1200"}}, {"type", {"an"}}}; expand(text, "retrieve", expected, {-1}); } } CASE("test_metkit_expand_3") { const char* text = "ret,date=-5/to/-1,grid=n640"; ExpectedVals expected{{"class", {"od"}}, {"domain", {"g"}}, {"expver", {"0001"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"levtype", {"pl"}}, {"param", {"129"}}, {"step", {"0"}}, {"stream", {"oper"}}, {"time", {"1200"}}, {"type", {"an"}}, {"grid", {"N640"}}}; expand(text, "retrieve", expected, {-5, -4, -3, -2, -1}); } CASE("test_metkit_expand_4") { const char* text = "ret,date=-5/to/-1,grid=o640"; ExpectedVals expected{{"class", {"od"}}, {"domain", {"g"}}, {"expver", {"0001"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"levtype", {"pl"}}, {"param", {"129"}}, {"step", {"0"}}, {"stream", {"oper"}}, {"time", {"1200"}}, {"type", {"an"}}, {"grid", {"O640"}}}; expand(text, "retrieve", expected, {-5, -4, -3, -2, -1}); } CASE("test_metkit_expand_5") { const char* text = "retrieve,class=od,date=20050601,diagnostic=1,expver=1,iteration=0,levelist=1,levtype=ml,param=155.129,stream=" "sens,time=1200,type=sg"; ExpectedVals expected{{"class", {"od"}}, {"diagnostic", {"1"}}, {"domain", {"g"}}, {"expver", {"0001"}}, {"iteration", {"0"}}, {"levelist", {"1"}}, {"levtype", {"ml"}}, {"param", {"129155"}}, {"step", {"0"}}, {"stream", {"sens"}}, {"time", {"1200"}}, {"type", {"sg"}}}; expand(text, "retrieve", expected, {20050601}); } CASE("test_metkit_expand_6") { const char* text = "retrieve,class=rd,expver=hl1m,stream=oper,date=20000801,time=0000,domain=g,type=fc,levtype=pl,step=24,param=" "129,levelist=1/to/31"; ExpectedVals expected{{"class", {"rd"}}, {"expver", {"hl1m"}}, {"stream", {"oper"}}, {"time", {"0000"}}, {"domain", {"g"}}, {"type", {"fc"}}, {"levtype", {"pl"}}, {"step", {"24"}}, {"param", {"129"}}}; std::vector levelist; for (int i = 1; i <= 31; i++) { levelist.push_back(std::to_string(i)); } expected["levelist"] = levelist; expand(text, "retrieve", expected, {20000801}); } CASE("test_metkit_expand_7") { const char* text = "retrieve,class=rd,expver=hl1m,stream=oper,date=20000801,time=0000,domain=g,type=fc,levtype=pl,step=24,param=" "129,levelist=0.01/0.7"; ExpectedVals expected{{"class", {"rd"}}, {"expver", {"hl1m"}}, {"stream", {"oper"}}, {"time", {"0000"}}, {"domain", {"g"}}, {"type", {"fc"}}, {"levtype", {"pl"}}, {"step", {"24"}}, {"param", {"129"}}, {"levelist", {".01", ".7"}}}; expand(text, "retrieve", expected, {20000801}); } CASE("test_metkit_expand_8") { const char* text = "retrieve,class=rd,expver=hl1m,stream=oper,date=20000801,time=0000,domain=g,type=fc,levtype=pl,step=24,param=" "129,levelist=0.1/to/0.7/by/0.2"; ExpectedVals expected{{"class", {"rd"}}, {"expver", {"hl1m"}}, {"stream", {"oper"}}, {"time", {"0000"}}, {"domain", {"g"}}, {"type", {"fc"}}, {"levtype", {"pl"}}, {"step", {"24"}}, {"param", {"129"}}, {"levelist", {".1", ".3", ".5", ".7"}}}; expand(text, "retrieve", expected, {20000801}); } CASE("test_metkit_expand_9_strict") { const char* text = "retrieve,class=rd,expver=hm1u,stream=weeh,time=0000,date=20210101,domain=g,hdate=20190101"; { std::istringstream in(text); MarsParser parser(in); MarsExpansion expand(false, false); std::vector v = expand.expand(parser.parse()); EXPECT_EQUAL(v.size(), 1); } { std::istringstream in(text); MarsParser parser(in); MarsExpansion expand(false, true); std::vector v = expand.expand(parser.parse()); EXPECT_EQUAL(v.size(), 1); } { const char* text = "retrieve,class=od,expver=1,date=20240304,time=0,type=fc,levtype=sfc,levelist=1/2/" "3,step=0,param=2t,target=out"; EXPECT_THROWS_AS(MarsRequest::parse(text, true), eckit::UserError); const char* expected = "RETRIEVE,CLASS=OD,TYPE=FC,STREAM=OPER,EXPVER=0001,REPRES=GG,LEVTYPE=SFC,PARAM=167,DATE=20240304,TIME=0000," "STEP=0,DOMAIN=G,TARGET=out"; expand(text, expected, false); } { const char* text = "retrieve,class=od,expver=1,stream=enfo,date=20240304,time=0,type=cf,levtype=sfc,levelist=1/2/" "3,step=0,param=2t,number=1/2/3,target=out"; EXPECT_THROWS_AS(MarsRequest::parse(text, true), eckit::UserError); const char* expected = "RETRIEVE,CLASS=OD,TYPE=CF,STREAM=ENFO,EXPVER=0001,REPRES=SH,LEVTYPE=SFC,PARAM=167,DATE=20240304,TIME=0000," "STEP=0,DOMAIN=G,TARGET=out"; expand(text, expected, false); } } CASE("test_metkit_expand_10_strict") { const char* text = "retrieve,class=rd,expver=hm1u,stream=wees,time=0000,date=20210101,domain=g,hdate=20190101"; { std::istringstream in(text); MarsParser parser(in); MarsExpansion expand(false, false); std::vector v = expand.expand(parser.parse()); EXPECT_EQUAL(v.size(), 1); } } CASE("test_metkit_expand_multirequest-1") { const std::string text = "ret,date=-5/to/-2.\nret,date=-1"; std::istringstream in(text); std::vector reqs = MarsRequest::parse(in, false); EXPECT_EQUAL(reqs.size(), 2); ExpectedVals expected{{"class", {"od"}}, {"domain", {"g"}}, {"expver", {"0001"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"levtype", {"pl"}}, {"param", {"129"}}, {"step", {"0"}}, {"stream", {"oper"}}, {"time", {"1200"}}, {"type", {"an"}}}; expand(reqs.at(0), {"retrieve", expected, std::vector{-5, -4, -3, -2}}, ignore_); expand(reqs.at(1), {"retrieve", expected, std::vector{-1}}, ignore_); } CASE("test_metkit_expand_multirequest-2") { const std::string text = "ret,date=-5/to/-2.\nret,date=-1"; std::string expectedStr = "retrieve,class=od,domain=g,expver=0001,levelist=1000/850/700/500/400/" "300,levtype=pl,param=129,step=0,stream=oper,time=1200,type=an"; expand(text, {expectedStr, expectedStr}, false, {{-5, -4, -3, -2}, {-1}}); } CASE("test_metkit_expand_multirequest-3") { const char* text = "retrieve,accuracy=16,area=14.8/-19.6/-14.5/19.8,class=od,date=20230810,expver=1,grid=0.09/0.09,levelist=1/" "to/137,levtype=ml,number=-1,param=z,process=local,rotation=-78.8/-61.0,step=000,stream=scda,time=18," "type=an,target=\"reference.ect1qF.data\"\n" "ret,rotation=off,target=\"out\""; const char* expected1 = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=SCDA,EXPVER=0001,REPRES=SH,LEVTYPE=ML,LEVELIST=1/2/3/4/5/6/7/8/9/10/11/" "12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/" "47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/" "82/83/84/85/86/87/88/89/90/91/92/93/94/95/96/97/98/99/100/101/102/103/104/105/106/107/108/109/110/111/112/" "113/114/115/116/117/118/119/120/121/122/123/124/125/126/127/128/129/130/131/132/133/134/135/136/137," "PARAM=129,DATE=20230810,TIME=1800,STEP=0,DOMAIN=G,TARGET=reference.ect1qF.data,RESOL=AUTO,ACCURACY=16," "AREA=14.8/-19.6/-14.5/19.8,ROTATION=-78.8/-61,GRID=.09/.09,PROCESS=LOCAL"; const char* expected2 = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=SCDA,EXPVER=0001,REPRES=SH,LEVTYPE=ML,LEVELIST=1/2/3/4/5/6/7/8/9/10/11/" "12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/" "47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/" "82/83/84/85/86/87/88/89/90/91/92/93/94/95/96/97/98/99/100/101/102/103/104/105/106/107/108/109/110/111/112/" "113/114/115/116/117/118/119/120/121/122/123/124/125/126/127/128/129/130/131/132/133/134/135/136/137," "PARAM=129,DATE=20230810,TIME=1800,STEP=0,DOMAIN=G,TARGET=out,RESOL=AUTO,ACCURACY=16," "AREA=14.8/-19.6/-14.5/19.8,GRID=.09/.09,PROCESS=LOCAL"; expand(text, std::vector{expected1, expected2}); } CASE("test_metkit_expand_multirequest-4") { MarsExpansion exp(true); const char* text1 = "retrieve,accuracy=16,area=14.8/-19.6/-14.5/19.8,class=od,date=20230810,expver=1,grid=0.09/0.09,levelist=1/" "to/137,levtype=ml,number=-1,param=z,process=local,rotation=-78.8/-61.0,step=000,stream=scda,time=18," "type=an,target=\"reference.ect1qF.data\""; const char* text2 = "ret,date=20230811,rotation=off,target=\"out\""; std::istringstream in1(text1); std::istringstream in2(text2); MarsParser parser1(in1); MarsParser parser2(in2); auto r1 = parser1.parse(); auto r2 = parser2.parse(); std::vector v1 = exp.expand(r1); std::vector v2 = exp.expand(r2); exp.reset(); std::vector v2_after_reset = exp.expand(r2); EXPECT_EQUAL(v1.size(), 1); EXPECT_EQUAL(v2.size(), 1); EXPECT_EQUAL(v2_after_reset.size(), 1); const char* expected1 = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=SCDA,EXPVER=0001,REPRES=SH,LEVTYPE=ML,LEVELIST=1/2/3/4/5/6/7/8/9/10/11/" "12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/" "47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/" "82/83/84/85/86/87/88/89/90/91/92/93/94/95/96/97/98/99/100/101/102/103/104/105/106/107/108/109/110/111/112/" "113/114/115/116/117/118/119/120/121/122/123/124/125/126/127/128/129/130/131/132/133/134/135/136/137," "PARAM=129,DATE=20230810,TIME=1800,STEP=0,DOMAIN=G,TARGET=reference.ect1qF.data,RESOL=AUTO,ACCURACY=16," "AREA=14.8/-19.6/-14.5/19.8,ROTATION=-78.8/-61,GRID=.09/.09,PROCESS=LOCAL"; const char* expected2 = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=SCDA,EXPVER=0001,REPRES=SH,LEVTYPE=ML,LEVELIST=1/2/3/4/5/6/7/8/9/10/11/" "12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/" "47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/" "82/83/84/85/86/87/88/89/90/91/92/93/94/95/96/97/98/99/100/101/102/103/104/105/106/107/108/109/110/111/112/" "113/114/115/116/117/118/119/120/121/122/123/124/125/126/127/128/129/130/131/132/133/134/135/136/137," "PARAM=129,DATE=20230811,TIME=1800,STEP=0,DOMAIN=G,TARGET=out,RESOL=AUTO,ACCURACY=16," "AREA=14.8/-19.6/-14.5/19.8,GRID=.09/.09,PROCESS=LOCAL"; const char* expected2_after_reset = "retrieve,target=out,class=od,type=an,stream=oper,levtype=pl,date=20230811,time=1200,step=0,expver=0001,domain=" "g,levelist=1000/850/700/500/400/300,param=129"; std::set ignore; std::string tt = eckit::StringTools::lower(text1); for (const auto& i : ignore_) { auto idx = tt.find(i); if (idx == std::string::npos) { ignore.insert(i); } } ExpectedRequest out1; ExpectedRequest out2; ExpectedRequest out2_after_reset; parse(expected1, out1); parse(expected2, out2); parse(expected2_after_reset, out2_after_reset); expand(v1[0], out1, ignore); expand(v2[0], out2, ignore); EXPECT(!v2[0].has("rotation")); expand(v2_after_reset[0], out2_after_reset, ignore); } CASE("test_metkit_expand_multirequest-5") { const std::string text = "ret,class=dm,type=fc,levtype=ml,date=-2\nret,date=-1"; std::string expectedStr = "retrieve,class=dm,type=fc,stream=oper,levtype=ml,time=0,step=0,expver=0001,domain=g,levelist=1,param=129"; expand(text, {expectedStr, expectedStr}, false, {{-2}, {-1}}); } void expandKeyThrows(const std::string& key, std::vector values) { const metkit::mars::Type* t = metkit::mars::MarsLanguage::get("retrieve").type(key); EXPECT_THROWS_AS(t->expand(values), eckit::BadValue); } void expandKey(const std::string& key, std::vector values, std::vector expected) { const metkit::mars::Type* t = metkit::mars::MarsLanguage::get("retrieve").type(key); t->expand(values); EXPECT_EQUAL(expected, values); } void quantileThrows(std::vector values) { expandKeyThrows("quantile", values); } void quantile(std::vector values, std::vector expected) { expandKey("quantile", values, expected); } CASE("test_metkit_expand_11_quantile") { quantileThrows({"-1:5"}); quantileThrows({"0:-5"}); quantileThrows({"6:5"}); quantileThrows({"0:12"}); quantileThrows({"2a:5"}); quantileThrows({"2:5b"}); quantileThrows({"2-1:12"}); quantileThrows({"-3-1:12"}); quantileThrows({"6--8:12"}); quantileThrows({"6-4:12"}); quantileThrows({"6-14:12"}); quantile({"2:5"}, {"2:5"}); quantile({"2-3:5"}, {"2-3:5"}); quantile({"0-10:100"}, {"0-10:100"}); quantile({"5-5:100"}, {"5:100"}); quantile({"0-10:100", "10-99:100"}, {"0-10:100", "10-99:100"}); quantile({"0:2", "1:2", "2:2"}, {"0:2", "1:2", "2:2"}); quantile({"0:2", "1:3", "2:5"}, {"0:2", "1:3", "2:5"}); quantileThrows({"to", "5:10"}); quantileThrows({"3:5", "to"}); quantileThrows({"3:5", "to", "5:10"}); quantileThrows({"1:5", "to", "3:5", "by"}); quantile({"0:5", "to", "0:5"}, {"0:5"}); quantile({"3:3", "to", "3:3"}, {"3:3"}); quantile({"0:5", "to", "5:5"}, {"0:5", "1:5", "2:5", "3:5", "4:5", "5:5"}); quantile({"0:5", "to", "5:5", "by", "1"}, {"0:5", "1:5", "2:5", "3:5", "4:5", "5:5"}); quantile({"0:5", "to", "5:5", "by", "2"}, {"0:5", "2:5", "4:5"}); quantile({"0:5", "to", "5:5", "by", "3"}, {"0:5", "3:5"}); quantile({"0:5", "to", "5:5", "by", "5"}, {"0:5", "5:5"}); quantile({"0:5", "to", "5:5", "by", "6"}, {"0:5"}); quantile({"2:5", "to", "5:5", "by", "2"}, {"2:5", "4:5"}); quantile({"3:5", "to", "5:5", "by", "2"}, {"3:5", "5:5"}); quantile({"4:5", "to", "5:5", "by", "2"}, {"4:5"}); quantile({"0:10", "3:10", "to", "7:10", "by", "2", "10:10"}, {"0:10", "3:10", "5:10", "7:10", "10:10"}); quantile({"3:5", "to", "2:5"}, {"3:5", "2:5"}); quantile({"0-20:100", "to", "80-100:100", "by", "20"}, {"0-20:100", "20-40:100", "40-60:100", "60-80:100", "80-100:100"}); } void timeThrows(std::vector values) { expandKeyThrows("time", values); } void time(std::vector values, std::vector expected) { expandKey("time", values, expected); } CASE("test_metkit_expand_12_time") { timeThrows({"87"}); timeThrows({"000012"}); timeThrows({"0:0:12"}); timeThrows({"12s"}); time({"0"}, {"0000"}); time({"0", "1", "6", "12", "18"}, {"0000", "0100", "0600", "1200", "1800"}); time({"0", "1", "12"}, {"0000", "0100", "1200"}); time({"0030"}, {"0030"}); time({"30m"}, {"0030"}); time({"00:30", "1:30", "02:50"}, {"0030", "0130", "0250"}); time({"0h", "3h", "120m", "170m"}, {"0000", "0300", "0200", "0250"}); timeThrows({"to", "5"}); timeThrows({"3", "to"}); timeThrows({"1", "to", "3", "by"}); time({"0", "to", "0"}, {"0000"}); time({"12", "to", "12"}, {"1200"}); time({"0", "to", "12"}, {"0000", "0600", "1200"}); time({"3", "to", "2"}, {"0300"}); time({"12", "to", "4"}, {"1200", "0600"}); time({"0", "to", "6", "by", "1"}, {"0000", "0100", "0200", "0300", "0400", "0500", "0600"}); time({"0", "to", "6", "by", "2"}, {"0000", "0200", "0400", "0600"}); time({"0", "to", "6", "by", "3"}, {"0000", "0300", "0600"}); time({"0", "to", "6", "by", "4"}, {"0000", "0400"}); time({"0", "to", "6", "by", "5"}, {"0000", "0500"}); time({"0", "to", "6", "by", "6"}, {"0000", "0600"}); time({"6", "to", "18"}, {"0600", "1200", "1800"}); time({"1", "to", "6", "by", "1"}, {"0100", "0200", "0300", "0400", "0500", "0600"}); time({"1", "to", "6", "by", "2"}, {"0100", "0300", "0500"}); time({"1", "to", "6", "by", "3"}, {"0100", "0400"}); time({"1", "to", "6", "by", "4"}, {"0100", "0500"}); time({"1", "to", "6", "by", "5"}, {"0100", "0600"}); time({"1", "to", "6", "by", "6"}, {"0100"}); time({"1", "to", "3h", "by", "30m"}, {"0100", "0130", "0200", "0230", "0300"}); } void stepThrows(std::vector values) { expandKeyThrows("step", values); } void step(std::string valuesStr, std::string expectedStr) { eckit::Tokenizer parse("/"); std::vector values; std::vector expected; parse(valuesStr, values); parse(expectedStr, expected); expandKey("step", values, expected); } CASE("test_metkit_expand_13_step") { step("0", "0"); step("1", "1"); step("24", "24"); step("144", "144"); step("012", "12"); step("12:30", "12h30m"); step("1:00", "1"); step("1:0:0", "1"); step("1h", "1"); step("60m", "1"); step("1h60m", "2"); step("0:5", "5m"); step("0:05", "5m"); step("0:05:0", "5m"); step("0:06", "6m"); step("0:10", "10m"); step("0:12", "12m"); step("0:15", "15m"); step("0:20", "20m"); step("0:25", "25m"); step("0:30", "30m"); step("0:35", "35m"); step("0:40", "40m"); step("0:45", "45m"); step("0:50", "50m"); step("0:55", "55m"); step("0-24", "0-24"); step("0-24s", "0-24s"); step("0-120s", "0-2m"); step("0s-120m", "0-2"); step("1-2", "1-2"); step("30m-1", "30m-1"); step("30m-90m", "30m-1h30m"); step("0/to/24/by/3", "0/3/6/9/12/15/18/21/24"); step("12/to/48/by/12", "12/24/36/48"); step("12/to/47/by/12", "12/24/36"); step("40m/to/2/by/10m", "40m/50m/1/1h10m/1h20m/1h30m/1h40m/1h50m/2"); step("0/to/6/by/30m", "0/30m/1/1h30m/2/2h30m/3/3h30m/4/4h30m/5/5h30m/6"); step("0-6/to/18-24/by/6", "0-6/6-12/12-18/18-24"); step("0-24/to/48-72/by/24", "0-24/24-48/48-72"); step("0/to/24/by/3/0-6/to/18-24/by/6", "0/3/6/9/12/15/18/21/24/0-6/6-12/12-18/18-24"); step("0-24/to/24-48/by/90m", "0-24/1h30m-25h30m/3-27/4h30m-28h30m/6-30/7h30m-31h30m/9-33/10h30m-34h30m/12-36/13h30m-37h30m/15-39/" "16h30m-40h30m/18-42/19h30m-43h30m/21-45/22h30m-46h30m/24-48"); } void activity(std::vector values, std::vector expected) { expandKey("activity", values, expected); } void experiment(std::vector values, std::vector expected) { expandKey("experiment", values, expected); } void model(std::vector values, std::vector expected) { expandKey("model", values, expected); } CASE("test_metkit_expand_lowercase") { activity({"ScenarioMIP"}, {"scenariomip"}); activity({"CMIP6"}, {"cmip6"}); activity({"ScenarioMIP"}, {"scenariomip"}); activity({"cmip6"}, {"cmip6"}); experiment({"SSP3-7.0"}, {"ssp3-7.0"}); experiment({"ssp3-7.0"}, {"ssp3-7.0"}); experiment({"hist"}, {"hist"}); model({"IFS-NEMO"}, {"ifs-nemo"}); model({"IFS"}, {"ifs"}); model({"ifs-nemo"}, {"ifs-nemo"}); model({"ifs"}, {"ifs"}); model({"ICON"}, {"icon"}); model({"icon"}, {"icon"}); } CASE("test_metkit_expand_param") { { const char* text = "retrieve,class=od,expver=0079,stream=enfo,date=-1,time=00/12,type=pf,levtype=sfc,step=24,number=1/to/" "2,param=mucin/mucape/tprate"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 3); EXPECT_EQUAL(params[0], "228236"); EXPECT_EQUAL(params[1], "228235"); EXPECT_EQUAL(params[2], "260048"); } { const char* text = "retrieve,class=od,expver=0079,stream=enfh,date=-1,time=00/12,type=fcmean,levtype=sfc,step=24,number=1/to/" "2,param=mucin/mucape/tprate"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 3); EXPECT_EQUAL(params[0], "228236"); EXPECT_EQUAL(params[1], "228235"); EXPECT_EQUAL(params[2], "172228"); } { const char* text = "retrieve,class=od,expver=1,stream=wave,date=-1,time=00/12,type=an,levtype=sfc,step=24,param=2dfd "; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 1); EXPECT_EQUAL(params[0], "140251"); } { const char* text = "retrieve,class=od,expver=1,stream=enwh,date=-1,time=00/12,type=cf,levtype=sfc,step=24,param=tmax"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 1); EXPECT_EQUAL(params[0], "140217"); } { const char* text = "retrieve,class=ai,expver=1,stream=oper,model=aifs-singlw,date=-1,time=00/" "12,type=pf,levtype=pl,step=24,param=t"; EXPECT_THROWS_AS(MarsRequest::parse(text, true), eckit::UserError); } { const char* text = "retrieve,class=ai,expver=1,stream=oper,model=aifs-single,date=-1,time=00/" "12,type=pf,levtype=pl,step=24,param=t"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 1); EXPECT_EQUAL(params[0], "130"); } { const char* text = "retrieve,class=od,date=20240723,domain=g,expver=0079,levtype=sfc,param=asn/cp/lsp/sf/tcc/" "tp,step=0,stream=oper,time=0000,type=fc"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 6); EXPECT_EQUAL(params[0], "32"); EXPECT_EQUAL(params[1], "143"); EXPECT_EQUAL(params[2], "142"); EXPECT_EQUAL(params[3], "144"); EXPECT_EQUAL(params[4], "164"); EXPECT_EQUAL(params[5], "228"); } { const char* text = "retrieve,class=od,expver=1,stream=msmm,date=-1,time=0000,type=em,levtype=sfc,step=24,param=e"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 1); EXPECT_EQUAL(params[0], "172182"); } { const char* text = "retrieve,class=od,expver=1,stream=msmm,date=-1,time=0000,type=em,levtype=sfc,step=24,param=e/erate"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 2); EXPECT_EQUAL(params[0], "172182"); EXPECT_EQUAL(params[1], "172182"); } { const char* text = "retrieve,class=od,expver=1,stream=enwh,date=-1,time=0000,type=pf,levtype=sfc,step=24,param=sh10"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 1); EXPECT_EQUAL(params[0], "140120"); } { const char* text = "retrieve,class=od,expver=1,stream=enwh,date=-1,time=0000,type=pf,levtype=sfc,step=24,param=p1ww"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 1); EXPECT_EQUAL(params[0], "140223"); } { const char* text = "retrieve,class=od,expver=1,stream=waef,date=-1,time=0000,type=cf,levtype=sfc,step=24,param=WSK/MWP"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 2); EXPECT_EQUAL(params[0], "140252"); EXPECT_EQUAL(params[1], "140232"); } { const char* text = "retrieve,class=od,expver=1,stream=eefo,date=-1,time=0000,type=fcmean,levtype=sfc,step=24,param=MSL"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 1); EXPECT_EQUAL(params[0], "151"); } { const char* text = "retrieve,class=od,expver=1,stream=eefo,date=-1,time=0000,type=fcmean,levtype=sfc,step=24,param=strda"; MarsRequest r = MarsRequest::parse(text); auto params = r.values("param"); EXPECT_EQUAL(params.size(), 1); EXPECT_EQUAL(params[0], "171175"); } } CASE("test_metkit_expand_param_bare_number") { // A param number without table is read from the table holding it in the request context, like MARS does const auto expandParam = [](const std::string& context, const std::string& param) { const std::string text = "retrieve,expver=0001,date=20260901,time=0000,step=6," + context + ",param=" + param; return MarsRequest::parse(text).values("param"); }; const std::string waveFc = "class=od,stream=wave,type=fc,levtype=sfc"; const std::string operFc = "class=od,stream=oper,type=fc,levtype=sfc"; const std::string era5Fc = "class=ea,stream=oper,type=fc,levtype=sfc"; // Only another table holds the number in this context EXPECT_EQUAL(expandParam(waveFc, "229"), std::vector{"140229"}); EXPECT_EQUAL(expandParam(operFc, "246/247/249"), (std::vector{"228246", "228247", "228249"})); // Several other tables hold the number: table 228 takes precedence EXPECT_EQUAL(expandParam(operFc, "227"), std::vector{"228227"}); // Table 128 holds the number, or the table is explicit EXPECT_EQUAL(expandParam(operFc, "229"), std::vector{"229"}); EXPECT_EQUAL(expandParam(operFc, "246.128"), std::vector{"246"}); EXPECT_EQUAL(expandParam(era5Fc, "239/240"), (std::vector{"239", "240"})); EXPECT_EQUAL(expandParam("class=od,stream=oper,type=fc,levtype=pl,levelist=500", "130"), std::vector{"130"}); } CASE("test_metkit_expand_d1") { { const char* text = "retrieve,class=d1,dataset=extremes-dt,date=-1"; ExpectedVals expected{{"class", {"d1"}}, {"dataset", {"extremes-dt"}}, {"expver", {"0001"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"levtype", {"pl"}}, {"param", {"129"}}, {"step", {"0"}}, {"stream", {"oper"}}, {"time", {"1200"}}, {"type", {"an"}}}; expand(text, "retrieve", expected, {-1}); } { const char* text = "retrieve,class=d1,dataset=climate-dt,levtype=pl,date=20000101,activity=CMIP6,experiment=hist,model=IFS-" "NEMO,generation=1,realization=1,resolution=high,stream=clte,type=fc,param=134/137"; ExpectedVals expected{{"class", {"d1"}}, {"dataset", {"climate-dt"}}, {"activity", {"cmip6"}}, {"experiment", {"hist"}}, {"model", {"ifs-nemo"}}, {"generation", {"1"}}, {"realization", {"1"}}, {"resolution", {"high"}}, {"expver", {"0001"}}, {"time", {"1200"}}, {"stream", {"clte"}}, {"type", {"fc"}}, {"levtype", {"pl"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"param", {"134", "137"}}}; expand(text, "retrieve", expected, {20000101}); } { const char* text = "retrieve,date=20120515,time=0000,dataset=climate-dt,activity=cmip6,experiment=hist,generation=1,model=" "icon,realization=1,georef=acbdef,resolution=high,class=d1,expver=0001,type=fc,stream=clte,levelist=1," "levtype=o3d,param=263500"; const char* text2 = "retrieve,date=20120515,time=0000,dataset=climate-dt,activity=cmip6,experiment=hist,generation=1,model=" "icon,realization=1,resolution=high,class=d1,expver=0001,type=fc,stream=clte,levelist=1," "levtype=o3d,param=263500"; ExpectedVals expected{{"class", {"d1"}}, {"dataset", {"climate-dt"}}, {"activity", {"cmip6"}}, {"experiment", {"hist"}}, {"model", {"icon"}}, {"generation", {"1"}}, {"realization", {"1"}}, {"resolution", {"high"}}, {"expver", {"0001"}}, {"time", {"0000"}}, {"stream", {"clte"}}, {"type", {"fc"}}, {"levtype", {"o3d"}}, {"levelist", {"1"}}, {"param", {"263500"}}}; expand(text, "retrieve", expected, {20120515}); expand(text2, "retrieve", expected, {20120515}); } } CASE("test_metkit_expand_ng") { { const char* text = "retrieve,class=ng,date=20000101,activity=CMIP6,experiment=hist,model=IFS-NEMO,generation=1,realization=1," "resolution=high,stream=clte,type=fc,levtype=pl,param=134/137"; ExpectedVals expected{{"class", {"ng"}}, {"levtype", {"pl"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"activity", {"cmip6"}}, {"experiment", {"hist"}}, {"model", {"ifs-nemo"}}, {"generation", {"1"}}, {"realization", {"1"}}, {"resolution", {"high"}}, {"expver", {"0001"}}, {"date", {"20000101"}}, {"time", {"1200"}}, {"stream", {"clte"}}, {"type", {"fc"}}, {"param", {"134", "137"}}}; expand(text, "retrieve", expected, {20000101}); } } CASE("test_metkit_expand_ai") { { const char* text = "retrieve,class=ai,date=20250208,time=1800,expver=9999,model=aifs-single,type=fc,levtype=sfc,param=169"; ExpectedVals expected{{"class", {"ai"}}, {"domain", {"g"}}, {"expver", {"9999"}}, {"levtype", {"sfc"}}, {"step", {"0"}}, {"stream", {"oper"}}, {"time", {"1800"}}, {"type", {"fc"}}, {"model", {"aifs-single"}}, {"param", {"169"}}}; expand(text, "retrieve", expected, {20250208}); } } CASE("test_metkit_expand_list") { { const char* text = "list,date=20250105,domain=g,levtype=pl,expver=" "0001,step=0,stream=oper,levelist=1000/850/700/500/400/" "300,time=1200,type=an,param=129"; ExpectedVals expected{{"class", {"od"}}, {"date", {"20250105"}}, {"domain", {"g"}}, {"levtype", {"pl"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"expver", {"0001"}}, {"time", {"1200"}}, {"stream", {"oper"}}, {"type", {"an"}}, {"param", {"129"}}}; expand(text, "list", expected, {20250105}); } { const char* text = "list,class=tr,date=20250105"; ExpectedVals expected{{"class", {"tr"}}, {"date", {"20250105"}}}; expand(text, "list", expected, {20250105}); } } CASE("test_metkit_expand_read") { { const char* text = "read,class=tr,date=20250105,domain=g,levtype=pl,expver=0001,step=0,stream=oper," "levelist=1000/850/700/500/400/300,time=1200,type=an,param=129"; ExpectedVals expected{{"class", {"tr"}}, {"date", {"20250105"}}, {"domain", {"g"}}, {"levtype", {"pl"}}, {"levelist", {"1000", "850", "700", "500", "400", "300"}}, {"expver", {"0001"}}, {"time", {"1200"}}, {"stream", {"oper"}}, {"type", {"an"}}, {"param", {"129"}}}; expand(text, "read", expected, {20250105}); } { const char* text = "read,date=20250105,param=129"; ExpectedVals expected{{"date", {"20250105"}}, {"param", {"129"}}}; expand(text, "read", expected, {20250105}); } } CASE("test_metkit_expand_clmn") { { const char* text = "retrieve,class=d1,expver=1,dataset=climate-dt,activity=story-nudging,experiment=Tplus2.0K,generation=1," "model=IFS-FESOM,realization=1,stream=clmn,year=2024,month=october,resolution=standard,type=fc,levtype=sfc," "param=144"; ExpectedVals expected{{"class", {"d1"}}, {"dataset", {"climate-dt"}}, {"activity", {"story-nudging"}}, {"experiment", {"tplus2.0k"}}, {"generation", {"1"}}, {"model", {"ifs-fesom"}}, {"realization", {"1"}}, {"expver", {"0001"}}, {"stream", {"clmn"}}, {"year", {"2024"}}, {"month", {"10"}}, {"resolution", {"standard"}}, {"type", {"fc"}}, {"levtype", {"sfc"}}, {"param", {"144"}}}; expand(text, "retrieve", expected, {}); } } CASE("test_metkit_expand_chem") { const char* text = "retrieve,chem=co/no2/no/so2,class=mc,date=2006-12-18,expver=9001,levtype=sfc,param=402000,step=12,stream=oper," "time=00:00:00,type=fc,target=\"output\""; const char* expected = "RETRIEVE,CLASS=MC,TYPE=FC,STREAM=OPER,EXPVER=9001,LEVTYPE=SFC,PARAM=402000,CHEM=2/17/27/233,DATE=20061218," "TIME=0000,STEP=12,DOMAIN=G,TARGET=output"; expand(text, expected); } CASE("test_metkit_expand_frequency") { const char* text = "retrieve,class=od,date=20250401,direction=31,domain=g,expver=0001,frequency=7,levtype=sfc,param=140217,step=0," "stream=wave,time=1200,type=an"; const char* expected = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=WAVE,EXPVER=0001,REPRES=SH,LEVTYPE=SFC,PARAM=140217,DATE=20250401,TIME=1200," "STEP=0,DOMAIN=G,FREQUENCY=7,DIRECTION=31"; expand(text, expected); } CASE("test_metkit_expand_obscutoff1") { const char* text = "retrieve,class=rd,date=20201204,expver=hk3a,obsgroup=22,reportype=21001,obstype=1,stream=lwda,obscutoff=2," "time=1200,type=mfb," "target=\"reference.vYyJf6.data\""; /// @todo DUPLICATES const char* expected = "RETRIEVE,CLASS=RD,TYPE=MFB,STREAM=LWDA,EXPVER=hk3a,REPRES=BU,OBSGROUP=AMSUA_AS,REPORTYPE=21001,obstype=1," "DATE=20201204,TIME=1200,DOMAIN=G,TARGET=reference.vYyJf6.data,DUPLICATES=KEEP"; expand(text, expected); } CASE("test_metkit_expand_obscutoff2") { const char* text = "retrieve,class=od,date=20201204,expver=1,obsgroup=22,reportype=21001,obstype=1,stream=xwda,obscutoff=2,time=" "1200,type=mfb," "target=\"reference.vYyJf6.data\""; /// @todo DUPLICATES const char* expected = "RETRIEVE,CLASS=OD,TYPE=MFB,STREAM=XWDA,obscutoff=0200,EXPVER=0001,REPRES=BU,OBSGROUP=AMSUA_AS,REPORTYPE=21001," "obstype=1," "DATE=20201204,TIME=1200,DOMAIN=G,TARGET=reference.vYyJf6.data,DUPLICATES=KEEP"; expand(text, expected); } CASE("test_metkit_expand_obscutoff3") { const char* text = "retrieve,class=od,date=20201204,expver=1,obsgroup=22,reportype=21001,obstype=1,stream=xwda,obscutoff=2h,time=" "1200,type=mfb," "target=\"reference.vYyJf6.data\""; /// @todo DUPLICATES const char* expected = "RETRIEVE,CLASS=OD,TYPE=MFB,STREAM=XWDA,obscutoff=0200,EXPVER=0001,REPRES=BU,OBSGROUP=AMSUA_AS,REPORTYPE=21001," "obstype=1," "DATE=20201204,TIME=1200,DOMAIN=G,TARGET=reference.vYyJf6.data,DUPLICATES=KEEP"; expand(text, expected); } CASE("test_metkit_expand_obscutoff4") { const char* text = "retrieve,class=od,date=20201204,expver=1,obsgroup=22,reportype=21001,obstype=1,stream=xwda,obscutoff=120m," "time=1200,type=mfb," "target=\"reference.vYyJf6.data\""; /// @todo DUPLICATES const char* expected = "RETRIEVE,CLASS=OD,TYPE=MFB,STREAM=XWDA,obscutoff=0200,EXPVER=0001,REPRES=BU,OBSGROUP=AMSUA_AS,REPORTYPE=21001," "obstype=1," "DATE=20201204,TIME=1200,DOMAIN=G,TARGET=reference.vYyJf6.data,DUPLICATES=KEEP"; expand(text, expected); } // issues from https://confluence.ecmwf.int/pages/viewpage.action?pageId=496866851 CASE("test_metkit_expand_MARSC-218") { // https://jira.ecmwf.int/browse/MARSC-218 const char* text = "retrieve,accuracy=10,class=ea,date=1969-03-28,expver=11,grid=0.25/" "0.25,levtype=sfc,packing=si,param=142.128/143.128/151.128/165.128/166.128,step=0/6/12/18/24/30/36/42/48/" "54/60/66/72/78/84/90/96/102/108/114/120/132/144/156/168/180/192/204/216/228/" "240,stream=oper,time=00:00:00,type=fc,target=\"reference.rFP7XB.data\""; const char* expected = "RETRIEVE,CLASS=EA,TYPE=FC,STREAM=OPER,EXPVER=0011,LEVTYPE=SFC,PARAM=142/143/151/165/" "166,DATE=19690328,TIME=0000,STEP=0/6/12/18/24/30/36/42/48/54/60/66/72/78/84/90/96/102/108/114/120/132/144/" "156/168/180/192/204/216/228/240,DOMAIN=G,TARGET=reference.rFP7XB.data,RESOL=AUTO,ACCURACY=10,GRID=.25/" ".25,PACKING=SIMPLE"; expand(text, expected); } CASE("test_metkit_expand_MARSC-221") { // https://jira.ecmwf.int/browse/MARSC-221 const char* text = "retrieve,accuracy=12,area=90.0/0.0/-90.0/359.5,date=20240102,domain=g,grid=0.5/" "0.5,leve=off,levtype=sfc,padding=0,param=134/137/165/166/167/168/" "235,stream=da,style=dissemination,time=00,type=an,target=\"reference.tzpUX7.data\""; const char* expected = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=OPER,EXPVER=0001,REPRES=GG,LEVTYPE=SFC,PARAM=134/137/165/166/167/168/" "235,DATE=20240102,TIME=0000,STEP=0,DOMAIN=G,TARGET=reference.tzpUX7.data,RESOL=AV,ACCURACY=12,STYLE=" "DISSEMINATION,AREA=90/0/-90/359.5,GRID=.5/.5,PADDING=0"; expand(text, expected); } CASE("test_metkit_expand_MARSC-212") { // https://jira.ecmwf.int/browse/MARSC-212 const char* text = "retrieve,accuracy=16,area=14.8/-19.6/-14.5/19.8,class=od,date=20230810,expver=1,grid=0.09/0.09,levelist=1/" "to/137,levtype=ml,number=-1,param=z,process=local,rotation=-78.8/-61.0,step=000,stream=scda,time=18," "type=an,target=\"reference.ect1qF.data\""; const char* expected = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=SCDA,EXPVER=0001,REPRES=SH,LEVTYPE=ML,LEVELIST=1/2/3/4/5/6/7/8/9/10/11/" "12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/" "47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/" "82/83/84/85/86/87/88/89/90/91/92/93/94/95/96/97/98/99/100/101/102/103/104/105/106/107/108/109/110/111/112/" "113/114/115/116/117/118/119/120/121/122/123/124/125/126/127/128/129/130/131/132/133/134/135/136/137," "PARAM=129,DATE=20230810,TIME=1800,STEP=0,DOMAIN=G,TARGET=reference.ect1qF.data,RESOL=AUTO,ACCURACY=16," "AREA=14.8/-19.6/-14.5/19.8,ROTATION=-78.8/-61,GRID=.09/.09,PROCESS=LOCAL"; expand(text, expected); } CASE("test_metkit_expand_MARSC-210") { // https://jira.ecmwf.int/browse/MARSC-210 const char* text = "retrieve,accuracy=24,area=90.0/-179.0/-90.0/180.0,class=od,dataset=none,date=20231231/to/20231231,expver=1," "grid=off,levelist=1,levtype=ml,number=off,padding=0,param=152.128,resol=255,step=00,stream=oper,time=00/12," "type=an,target=reference.data"; const char* expected = "RETRIEVE,DATASET=none,CLASS=OD,TYPE=AN,STREAM=OPER,EXPVER=0001,REPRES=SH,LEVTYPE=ML,LEVELIST=1,PARAM=152," "DATE=20231231,TIME=0000/1200,STEP=0,DOMAIN=G,TARGET=reference.data,RESOL=255,ACCURACY=24," "AREA=90/-179/-90/180,PADDING=0"; expand(text, expected); } CASE("test_metkit_expand_MARSC-220") { // https://jira.ecmwf.int/browse/MARSC-220 // the original request contains an_offet which is not supported, and has been replaced by anoffset const char* text = "retrieve,anoffset=9,class=rd,date=20210828,expver=i8k5,gaussian=regular,grid=4000,levtype=sfc,param=151." "128/165.128/166.128,step=15,stream=da,time=00,type=fc,target=\"reference.6Zr8N7.data\""; const char* expected = "RETRIEVE,CLASS=RD,TYPE=FC,STREAM=OPER,EXPVER=i8k5,REPRES=SH,LEVTYPE=SFC,PARAM=151/165/" "166,DATE=20210828,TIME=0000,STEP=15,DOMAIN=G,TARGET=reference.6Zr8N7.data,RESOL=AUTO,GRID=F4000"; expand(text, expected); } CASE("test_metkit_expand_MARSC-214") { // https://jira.ecmwf.int/browse/MARSC-214 const char* text = "retrieve,anoffset=90,class=ce,database=marser,date=20240102,domain=g,expver=0001,level=3,levtype=sol," "model=lisflood,origin=ecmf,param=260199,step=6/to/72/by/" "6,stream=efas,time=0000,type=sfo,expect=any,target=\"reference.43PsBL.data\""; const char* expected = "RETRIEVE,CLASS=CE,TYPE=SFO,STREAM=EFAS,EXPVER=0001,MODEL=lisflood,REPRES=SH,LEVTYPE=SOL,LEVELIST=3,PARAM=" "260199,DATE=20240102,TIME=0000,STEP=6/12/18/24/30/36/42/48/54/60/66/" "72,ANOFFSET=90,DOMAIN=G,ORIGIN=ECMF,EXPECT=ANY,TARGET=reference.43PsBL.data,DATABASE=marser"; expand(text, expected); } CASE("test_metkit_expand_MARSC-222") { // https://jira.ecmwf.int/browse/MARSC-222 const char* text = "retrieve,class=rd,date=20201204,expver=hk3a,obsgroup=22,reportype=21001,stream=lwda,time=1200,type=mfb," "target=\"reference.vYyJf6.data\""; /// @todo DUPLICATES const char* expected = "RETRIEVE,CLASS=RD,TYPE=MFB,STREAM=LWDA,EXPVER=hk3a,REPRES=BU,OBSGROUP=AMSUA_AS,REPORTYPE=21001,obstype=1," "DATE=20201204,TIME=1200,DOMAIN=G,TARGET=reference.vYyJf6.data,DUPLICATES=KEEP"; // expand(text, expected); } CASE("test_metkit_expand_MARSC-219") { // https://jira.ecmwf.int/browse/MARSC-219 const char* text = "retrieve,class=od,date=20231205,expver=0001,obstype=gpsro,stream=lwda,time=18,type=ai,target=\"reference." "E2RRc8.data\""; const char* expected = // "RETRIEVE,CLASS=OD,TYPE=AI,STREAM=LWDA,EXPVER=0001,REPRES=BU,OBSTYPE=250,DATE=20231205,TIME=1800,DOMAIN=G," // "TARGET=reference.E2RRc8.data,DUPLICATES=KEEP"; "RETRIEVE,CLASS=OD,TYPE=AI,STREAM=LWDA,EXPVER=0001,OBSTYPE=250,DATE=20231205,TIME=1800,DOMAIN=G," "TARGET=reference.E2RRc8.data,DUPLICATES=KEEP"; expand(text, expected); } CASE("test_metkit_expand_MARSC-213") { // https://jira.ecmwf.int/browse/MARSC-213 const char* text = "retrieve,class=od,date=20230821,expect=any,expver=0001,levtype=sfc,param=70.228/71.228/72.228/73.228/" "74.228,stream=da,time=12,type=gai,target=\"reference.1e7AY1.data\""; const char* expected = "RETRIEVE,CLASS=OD,TYPE=GAI,STREAM=OPER,EXPVER=0001,REPRES=GG,LEVTYPE=SFC,PARAM=228070/228071/228072/" "228073/228074,DATE=20230821,TIME=1200,STEP=0,DOMAIN=G,TARGET=reference.1e7AY1.data,EXPECT=ANY"; expand(text, expected); } CASE("test_metkit_expand_MARSC-211") { // https://jira.ecmwf.int/browse/MARSC-211 const char* text = "retrieve,class=ce,database=marser,date=20240102,domain=g,expver=0001,level=2,levtype=sol,model=lisflood," "origin=ecmf,param=260199,step=6/to/240/by/" "6,stream=efas,time=0000,type=fc,target=\"reference.JkqWoW.data\""; const char* expected = "RETRIEVE,CLASS=CE,TYPE=FC,STREAM=EFAS,EXPVER=0001,MODEL=lisflood,REPRES=SH,LEVTYPE=SOL,LEVELIST=2,PARAM=" "260199,DATE=20240102,TIME=0000,STEP=6/12/18/24/30/36/42/48/54/60/66/72/78/84/90/96/102/108/114/120/126/" "132/138/144/150/156/162/168/174/180/186/192/198/204/210/216/222/228/234/" "240,DOMAIN=G,ORIGIN=ECMF,TARGET=reference.JkqWoW.data"; expand(text, expected); } CASE("test_metkit_expand_MARSC-243") { // https://jira.ecmwf.int/browse/MARSC-243 const char* text = "retrieve,DOMAIN=G,LEVTYPE=PL,LEVELIST=200,DATE=20040114,TIME=0000,PARAM=155.128,CLASS=OD,TYPE=FCMEAN,STREAM=" "MOFM,EXPVER=0001,NUMBER=0,SYSTEM=2,METHOD=1,FCPERIOD=5-11,target=\"reference.GP8yZ1.data\""; const char* expected = "RETRIEVE,CLASS=OD,TYPE=FCMEAN,STREAM=MOFM,EXPVER=0001,REPRES=SH,LEVTYPE=PL,LEVELIST=200,PARAM=155,DATE=" "20040114,FCPERIOD=5-11,TIME=0000,NUMBER=0,DOMAIN=G,SYSTEM=2,METHOD=1,TARGET=reference.GP8yZ1.data"; expand(text, expected); } CASE("test_metkit_expand_MARSC-246") { // https://jira.ecmwf.int/browse/MARSC-246 const char* text = "retrieve,DOMAIN=G,LEVTYPE=DP,DATE=20120201,TIME=0000,STEP=288,PARAM=175.151,CLASS=OD,TYPE=OF,STREAM=OCEA," "EXPVER=0001,NUMBER=0,SYSTEM=3,METHOD=1,PRODUCT=TIMS,SECTION=Z,LEVELIST=0.000,LATITUDE=-9.967,RANGE=264,target=" "\"reference.t2APXu.data\""; const char* expected = "RETRIEVE,CLASS=OD,TYPE=OF,STREAM=OCEA,EXPVER=0001,REPRES=SH,LEVTYPE=DP,LEVELIST=0,PARAM=151175,DATE=20120201," "TIME=0000,RANGE=264,STEP=288,NUMBER=0,DOMAIN=G,SYSTEM=3,METHOD=1,PRODUCT=TIMS,SECTION=Z,LATITUDE=-9.967," "TARGET=reference.t2APXu.data"; expand(text, expected); } CASE("test_metkit_expand_MARSC-253") { // https://jira.ecmwf.int/browse/MARSC-253 const char* text = "retrieve,class=od,type=tf,stream=enfo,expver=0001,repres=bu,obstype=32,date=20060112,time=0000/" "1200,domain=g,duplicates=keep,target=\"data.reference\""; const char* expected = "RETRIEVE,CLASS=OD,TYPE=TF,STREAM=ENFO,EXPVER=0001,REPRES=BU,OBSTYPE=32,DATE=20060112,TIME=0000/" "1200,STEP=0,DOMAIN=G,TARGET=data.reference,DUPLICATES=KEEP"; expand(text, expected); } CASE("test_metkit_expand_MARSC-254") { // https://jira.ecmwf.int/browse/MARSC-254 const char* text = "retrieve,type=ob,date=20250414,time=00,range=1439,target=\"data.reference\""; const char* expected = "RETRIEVE,CLASS=OD,TYPE=OB,STREAM=OPER,EXPVER=0001,REPRES=BU,OBSTYPE=1,DATE=20250414,TIME=0000,RANGE=1439," "DOMAIN=G,TARGET=data.reference,DUPLICATES=KEEP"; expand(text, expected); } // https://jira.ecmwf.int/browse/MARSC-306 CASE("test_metkit_expand_MARSC-306") { const std::string text = "retrieve,CLASS=OD,TYPE=PF,STREAM=EF,EXPVER=0001,REPRES=SH,LEVTYPE=SFC,PARAM=167/165/166/164/" "228,DATE=20250523,TIME=0000,STEP=6/12,NUMBER=1/2,DOMAIN=G,RESOL=N128,AREA=70.5/-21.0/30.0/40.5,GRID=1.5/" "1.5,target=\"target.vareps.test\",RESOL=N128"; // N128 needs to be forwarded and is therefore not manipulated const std::string expected = "retrieve,class=od,type=pf,stream=enfo,levtype=sfc,date=20250523,time=0000,step=6/" "12,expver=0001,domain=g,number=1/2,param=167/165/166/164/228,target=target.vareps.test,grid=1.5/1.5,area=70.5/" "-21/30/40.5,repres=sh,resol=N128"; expand(text, expected); } // https://jira.ecmwf.int/browse/MARSC-433 CASE("test_metkit_expand_MARSC-433") { const std::string text = "retrieve,CLASS=EA,DATE=20061212,DOMAIN=G,EXPVER=0001,LEVELIST=1/2/" "3,LEVTYPE=ML,PARAM=152,REPRES=SH,RESOL=199,STREAM=DA,TIME=00/06/12/18,TYPE=AN"; const std::string expected = "retrieve,CLASS=EA,DATE=20061212,DOMAIN=G,EXPVER=0001,LEVELIST=1/2/" "3,LEVTYPE=ML,PARAM=152,REPRES=SH,truncation=199,STREAM=oper,TIME=0000/0600/1200/1800,TYPE=AN"; expand(text, expected); } CASE("test_metkit_expand_resol") { { const std::string text = "retrieve,class=ea,date=20061212,domain=g,expver=1,levelist=1/2/" "3,levtype=ml,param=152,repres=sh,resol=av,stream=da,time=00/06/12/18,type=an"; const std::string expected = "retrieve,class=ea,date=20061212,domain=g,expver=0001,levelist=1/2/" "3,levtype=ml,param=152,repres=sh,intgrid=source,truncation=none,stream=oper,time=0000/0600/1200/" "1800,type=an"; expand(text, expected); } { const std::string text = "retrieve,class=ea,date=20061213,domain=g,expver=1,levelist=1/2/" "3,levtype=ml,param=152,repres=sh,resol=N128,stream=da,time=00/06/12/18,type=an"; const std::string expected = "retrieve,class=ea,date=20061213,domain=g,expver=0001,levelist=1/2/" "3,levtype=ml,param=152,repres=sh,intgrid=N128,stream=oper,time=0000/0600/1200/1800,type=an"; expand(text, expected); } } CASE("test_metkit_expand_coeffindex") { { const char* text = "retrieve,class=rd,coeffindex=1/to/3,date=2026-01-01,expver=1,levelist=1,levtype=ml,param=130/131/132/138/" "139/152/155,step=0,number=1,stream=oper,time=09:00:00,type=me,target=output"; const char* expected = "retrieve,class=rd,coeffindex=1/2/3,date=20260101,expver=0001,levelist=1,levtype=ml,param=130/131/132/138/" "139/152/155,step=0,number=1,stream=oper,time=0900,type=me,target=output"; expand(text, expected); } { const char* text = "retrieve,class=od,coeffindex=1/to/3,date=2026-01-01,expver=1,levelist=1,levtype=ml,param=130/131/132/138/" "139/152/155,step=0,number=1,stream=oper,time=09:00:00,type=pf,target=output"; const char* expected = "retrieve,class=od,date=20260101,expver=0001,levelist=1,levtype=ml,param=130/131/132/138/139/152/" "155,step=0,number=1,stream=oper,time=0900,type=pf,target=output"; expand(text, expected); } } CASE("number in xwda & seas6") { { const char* text = "list,class=rd,expver=jc22,stream=xwda,type=fc,date=20230530,time=18,param=cdww,obscutoff=0900,number=1"; const char* expected = "list,class=rd,expver=jc22,stream=xwda,type=fc,date=20230530,time=1800,param=140233,obscutoff=0900,number=" "1"; expand(text, expected); } { const char* text = "list,expver=jbpy,class=rd,stream=sfdd,type=fc,levtype=sfc,param=78,number=0/to/1/by/1,step=6"; const char* expected = "list,expver=jbpy,class=rd,stream=sfdd,type=fc,levtype=sfc,param=78,number=0/1,step=6"; expand(text, expected); } { const char* text = "retrieve,class=od,expver=1,stream=sfdd,system=0,date=20010501,time=0,domain=g,type=fc,levtype=sfc," "timespan=none,number=0/1,param=78,step=6"; const char* expected = "retrieve,class=od,expver=0001,stream=sfdd,system=0,date=20010501,time=0000,domain=g,type=fc,levtype=sfc," "timespan=none,number=0/1,param=78,step=6"; expand(text, expected); } } CASE("PGEN-566 class=ai") { const char* text = "retrieve,date=20260506,class=ai,stream=oper,expver=0001,domain=g,type=fc,levtype=sfc,param=sd/swh,time=0000/" "0600/1200/1800,step=0"; const char* expected = "retrieve,date=20260506,class=ai,type=fc,stream=oper,levtype=sfc,time=0000/0600/1200/" "1800,step=0,expver=0001,domain=g,param=228141/140229"; expand(text, expected); } CASE("PGEN-566 od") { const char* text = "retrieve,date=20260506,class=od,stream=oper,expver=0001,domain=g,type=fc,levtype=sfc,param=sd/swh,time=0000/" "0600/1200/1800,step=0"; const char* expected = "retrieve,date=20260506,class=od,type=fc,stream=oper,levtype=sfc,time=0000/0600/1200/" "1800,step=0,expver=0001,domain=g,param=141/3100"; expand(text, expected); } CASE("test_metkit_expand_A") { const char* text = "retrieve,accuracy=16,area=14.8/-19.6/-14.5/19.8,class=od,date=20230810,expver=1,grid=0.09/0.09,levelist=1/" "to/137,levtype=ml,number=-1,param=z,process=local,rotation=-78.8/" "-61.0,step=000,stream=scda,time=18,type=an,target=\"reference.ect1qF.data\""; const char* expected = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=SCDA,EXPVER=0001,REPRES=SH,LEVTYPE=ML,LEVELIST=1/2/3/4/5/6/7/8/9/10/11/" "12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/" "47/48/49/50/51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/" "82/83/84/85/86/87/88/89/90/91/92/93/94/95/96/97/98/99/100/101/102/103/104/105/106/107/108/109/110/111/112/" "113/114/115/116/117/118/119/120/121/122/123/124/125/126/127/128/129/130/131/132/133/134/135/136/" "137,PARAM=129,DATE=20230810,TIME=1800,STEP=0,DOMAIN=G,TARGET=reference.ect1qF.data,RESOL=AUTO,ACCURACY=16," "AREA=14.8/-19.6/-14.5/19.8,ROTATION=-78.8/-61,GRID=.09/.09,PROCESS=LOCAL"; expand(text, expected); } CASE("test_metkit_expand_B") { const char* text = "retrieve,accuracy=16,area=60.0/-60.0/-60.0/60.0,class=ea,date=20101029,expver=1,grid=0.30/0.30,levelist=1/" "to/137,levtype=ml,number=-1,param=q/t/u/v/lnsp/z,rotation=0.0/" "0.0,step=000,stream=oper,time=15:00:00,type=an,target=\"reference.1OEDK0.data\""; const char* expected = "RETRIEVE,CLASS=EA,TYPE=AN,STREAM=OPER,EXPVER=0001,LEVTYPE=ML,LEVELIST=1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/" "16/17/18/19/20/21/22/23/24/25/26/27/28/29/30/31/32/33/34/35/36/37/38/39/40/41/42/43/44/45/46/47/48/49/50/" "51/52/53/54/55/56/57/58/59/60/61/62/63/64/65/66/67/68/69/70/71/72/73/74/75/76/77/78/79/80/81/82/83/84/85/" "86/87/88/89/90/91/92/93/94/95/96/97/98/99/100/101/102/103/104/105/106/107/108/109/110/111/112/113/114/115/" "116/117/118/119/120/121/122/123/124/125/126/127/128/129/130/131/132/133/134/135/136/137,PARAM=133/130/131/" "132/152/129,TIME=1500,STEP=0,DOMAIN=G,TARGET=reference.1OEDK0.data,RESOL=AUTO,ACCURACY=16,AREA=60/-60/-60/" "60,ROTATION=0/0,GRID=.3/.3,DATE=20101029"; expand(text, expected); } CASE("test_metkit_expand_C") { const char* text = "retrieve,accuracy=12,area=90.0/0.0/-90.0/359.5,date=20240102,domain=g,grid=0.5/" "0.5,leve=off,levtype=sfc,padding=0,param=134/137/165/166/167/168/" "235,stream=da,style=dissemination,time=00,type=an,target=\"reference.tzpUX7.data\""; const char* expected = "RETRIEVE,CLASS=OD,TYPE=AN,STREAM=OPER,EXPVER=0001,REPRES=GG,LEVTYPE=SFC,PARAM=134/137/165/166/167/168/" "235,DATE=20240102,TIME=0000,STEP=0,DOMAIN=G,TARGET=reference.tzpUX7.data,RESOL=AV,ACCURACY=12,STYLE=" "DISSEMINATION,AREA=90/0/-90/359.5,GRID=.5/.5,PADDING=0"; expand(text, expected); } CASE("test_metkit_disseminate") { const char* text = "disseminate,option=normal,target=NTI:HT,date=20250506,time=0/12,stream=oper,levtype=sfc,type=an,param=lsm," "step=0,direction=off,frequency=off,area=54.5/1.5/51/8,grid=.1/.1,packing=simple\n" "disseminate,stream=wave,param=2dfd,direction=1/to/36,frequency=1/to/29,packing=off\n" "disseminate,type=fc,step=3/to/144/by/3\n" "disseminate,stream=oper,type=an,param=lsm,step=0,direction=off,frequency=off,area=64/-15/43/13," "grid=.25/.25,packing=simple\n" "disseminate,stream=wave,param=tmax/hmax/swh/mwd/pp1d/mwp/shww/mdww/mpww/shts/mdts/mpts/sh10\n" "disseminate,type=fc,step=3/to/72/by/3\n" "disseminate,step=78/to/240/by/6"; std::vector expected = { "disseminate,stream=oper,type=an,param=172,step=0,area=54.5/1.5/51/8,grid=.1/.1,packing=simple,class=od," "date=20250506,domain=g,expver=0001,levtype=sfc,option=normal,target=NTI:HT,time=0000/1200", "disseminate,stream=wave,param=140251,direction=1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/" "25/26/27/28/29/30/31/32/33/34/35/36,frequency=1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/" "25/26/27/28/29,area=54.5/1.5/51/8,class=od,date=20250506,domain=g,expver=0001,grid=.1/.1,levtype=sfc," "option=normal,step=0,target=NTI:HT,time=0000/1200,type=an", "disseminate,type=fc,step=3/6/9/12/15/18/21/24/27/30/33/36/39/42/45/48/51/54/57/60/63/66/69/72/75/78/81/84/87/" "90/93/96/99/102/105/108/111/114/117/120/123/126/129/132/135/138/141/144,area=54.5/1.5/51/" "8,class=od,date=20250506,direction=1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/22/23/24/25/26/27/28/" "29/30/31/32/33/34/35/36,domain=g,expver=0001,frequency=1/2/3/4/5/6/7/8/9/10/11/12/13/14/15/16/17/18/19/20/21/" "22/23/24/25/26/27/28/29,grid=.1/.1,levtype=sfc,option=normal,param=140251,stream=wave,target=NTI:HT,time=0000/" "1200", "disseminate,stream=oper,type=an,param=172,step=0,area=64/-15/43/13,grid=.25/" ".25,packing=simple,class=od,date=20250506,domain=g,expver=0001,levtype=sfc,option=normal,target=NTI:HT,time=" "0000/1200", "disseminate,stream=wave,param=140217/140218/140229/140230/140231/140232/140234/140235/140236/140237/140238/" "140239/140120,area=64/-15/43/13,class=od,date=20250506,domain=g,expver=0001,grid=.25/" ".25,levtype=sfc,option=normal,packing=simple,step=0,target=NTI:HT,time=0000/1200,type=an", "disseminate,type=fc,step=3/6/9/12/15/18/21/24/27/30/33/36/39/42/45/48/51/54/57/60/63/66/69/72,area=64/-15/43/" "13,class=od,date=20250506,domain=g,expver=0001,grid=.25/" ".25,levtype=sfc,option=normal,packing=simple,param=140217/140218/140229/140230/140231/140232/140234/140235/" "140236/140237/140238/140239/140120,stream=wave,target=NTI:HT,time=0000/1200", "disseminate,step=78/84/90/96/102/108/114/120/126/132/138/144/150/156/162/168/174/180/186/192/198/204/210/216/" "222/228/234/240,area=64/-15/43/13,class=od,date=20250506,domain=g,expver=0001,grid=.25/" ".25,levtype=sfc,option=normal,packing=simple,param=140217/140218/140229/140230/140231/140232/140234/140235/" "140236/140237/140238/140239/140120,stream=wave,target=NTI:HT,time=0000/1200,type=fc"}; expand(text, expected, false); } CASE("test_metkit_disseminate") { const char* text = "disseminate,stream=waef,levtype=sfc,param=131074,class=od,type=ep,date=20250918,time=1200,step=12,expver=0001," "domain=g,area=90/-180/-90/179.6,grid=.4/.4,target=OPN:DT"; std::vector expected = {text}; expand(text, expected, false); } CASE("test_metkit_disseminate_params-static") { const char* text = "disseminate,target=CAM:TT,option=normal,expver=0001,class=mc,stream=oper,date=20250807,time=0000,type=an,step=" "0,levtype=sfc,param=asn/hcc/mcc/sp/t/tcc"; std::vector expected = { "disseminate,class=mc,type=an,stream=oper,levtype=sfc,time=0000,step=0,expver=0001,param=32/188/187/134/130/" "164,option=normal,target=CAM:TT,date=20250807,domain=g"}; expand(text, expected, false); } CASE("test_metkit_files") { eckit::LocalPathName testFolder{"expand"}; ASSERT(testFolder.exists()); eckit::StdDir d(testFolder); for (;;) { struct dirent* e = d.dirent(); if (e == nullptr) { break; } if (::strstr(e->d_name, ".req")) { try { // look for the corresponding .expected file std::string reqFileName{testFolder / e->d_name}; eckit::PathName expFileName{reqFileName.substr(0, reqFileName.find_last_of('.')) + ".expected"}; ASSERT(expFileName.exists()); std::ifstream reqFile(reqFileName); std::stringstream req; req << reqFile.rdbuf(); std::ifstream expFile(expFileName); std::stringstream exp; exp << expFile.rdbuf(); expand(req.str(), exp.str()); } catch (...) { std::cerr << "ERROR processing file: " << e->d_name << std::endl; throw; } } } } //----------------------------------------------------------------------------- } // namespace metkit::mars::test int main(int argc, char** argv) { return run_tests(argc, argv); } metkit-1.22.0/tests/test_date.cc0000664000175000017500000000665415263642712016725 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_date.cc /// @author Emanuele Danovaro /// @date March 2025 #include #include #include "eckit/testing/Test.h" #include "eckit/types/Date.h" #include "eckit/value/Value.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/TypeDate.h" namespace metkit::mars::test { using ::eckit::BadValue; using ::eckit::Value; //----------------------------------------------------------------------------- void assertTypeExpansion(const std::string& name, std::vector values, const std::vector& expected) { MarsLanguage::get("retrieve").type(name)->expand(values); EXPECT_EQUAL(expected, values); } std::string date(long d) { if (d <= 0) { eckit::Date day(d); d = day.yyyymmdd(); } return std::to_string(d); } CASE("Test TypeDate expansions") { TypeDate tdate("date", Value()); Type& td(tdate); assertTypeExpansion("date", {"20140506"}, {"20140506"}); assertTypeExpansion("date", {"2014-05-06"}, {"20140506"}); assertTypeExpansion("date", {"20140506", "20140507"}, {"20140506", "20140507"}); assertTypeExpansion("date", {"20140506", "to", "20140506"}, {"20140506"}); assertTypeExpansion("date", {"20140506", "to", "20140507"}, {"20140506", "20140507"}); assertTypeExpansion("date", {"20140506", "to", "20140508"}, {"20140506", "20140507", "20140508"}); assertTypeExpansion("date", {"20140504", "20140506", "to", "20140508"}, {"20140504", "20140506", "20140507", "20140508"}); assertTypeExpansion("date", {"-1", "0"}, {date(-1), date(0)}); assertTypeExpansion("date", {"-1", "to", "-3"}, {date(-1), date(-2), date(-3)}); assertTypeExpansion("date", {"-3", "to", "-1"}, {date(-3), date(-2), date(-1)}); assertTypeExpansion("date", {"-5", "to", "-1", "by", "2"}, {date(-5), date(-3), date(-1)}); assertTypeExpansion("date", {"2"}, {"feb"}); assertTypeExpansion("date", {"jan"}, {"jan"}); assertTypeExpansion("date", {"september"}, {"sep"}); assertTypeExpansion("date", {"9"}, {"sep"}); assertTypeExpansion("date", {"1-01"}, {"jan-1"}); assertTypeExpansion("date", {"jan-01"}, {"jan-1"}); assertTypeExpansion("date", {"january-01"}, {"jan-1"}); assertTypeExpansion("date", {"feb-23"}, {"feb-23"}); assertTypeExpansion("date", {"2018-23"}, {"20180123"}); assertTypeExpansion("date", {"2018-41"}, {"20180210"}); { EXPECT_THROWS(auto vv = td.tidy("20141506")); // throws BadDate that is not exported } { EXPECT_THROWS(auto vv = td.tidy("20180132")); // throws BadDate that is not exported } { EXPECT_THROWS(auto vv = td.tidy("202401366")); // throws BadDate that is not exported } { EXPECT_THROWS_AS(auto vv = td.tidy("abc"), BadValue); } { EXPECT_THROWS_AS(auto vv = td.tidy("abc-01"), BadValue); } } //----------------------------------------------------------------------------- } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_codes_decoder.cc0000664000175000017500000006571415263642712020574 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation * nor does it submit to any jurisdiction. */ /// @date Nov 2022 /// @author Philipp Geier #include #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/io/FileHandle.h" #include "eckit/io/MemoryHandle.h" #include "eckit/message/Message.h" #include "eckit/message/Reader.h" #include "eckit/testing/Test.h" namespace metkit::codes::test { //---------------------------------------------------------------------------------------------------------------------- class MetadataSetter : public eckit::LocalConfiguration { public: using eckit::LocalConfiguration::getDouble; using eckit::LocalConfiguration::getLong; using eckit::LocalConfiguration::getString; using eckit::LocalConfiguration::has; template void setValue(const std::string& key, const T& value) { set(key, value); } template T get(const std::string& key) { T value; eckit::LocalConfiguration::get(key, value); return value; } std::vector keys() { return eckit::LocalConfiguration::keys(); } }; static unsigned char unstr_latlon[] = { 0x47, 0x52, 0x49, 0x42, 0xff, 0xff, 0x02, 0x02, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x9f, 0x00, 0x00, 0x00, 0x15, 0x01, 0x00, 0x62, 0x00, 0xff, 0x19, 0x00, 0x00, 0x00, 0x01, 0x01, 0x01, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x11, 0x02, 0x00, 0x01, 0x00, 0x01, 0x00, 0x02, 0x04, 0x01, 0x30, 0x30, 0x30, 0x31, 0x00, 0x00, 0x00, 0x23, 0x03, 0x00, 0x00, 0x00, 0x01, 0xf0, 0x00, 0x00, 0x00, 0x65, 0x06, 0x00, 0x00, 0x0a, 0x01, 0x66, 0xa3, 0x41, 0xd2, 0x1d, 0xcf, 0x11, 0xb2, 0x88, 0x0c, 0x0f, 0x16, 0x45, 0xf3, 0xd1, 0xdc, 0x00, 0x00, 0x00, 0x22, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x02, 0x00, 0x01, 0x00, 0x00, 0x00, 0x01, 0x00, 0x00, 0x00, 0x00, 0xa8, 0x00, 0xff, 0xff, 0xff, 0xff, 0xff, 0x00, 0xff, 0xff, 0xff, 0xff, 0x00, 0x00, 0x00, 0x15, 0x05, 0x00, 0x00, 0x01, 0xf0, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x80, 0x0f, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x06, 0x06, 0xff, 0x00, 0x00, 0x00, 0x05, 0x07, 0x37, 0x37, 0x37, 0x37}; #define MD_EXPECT_STRING(md, name, eq) \ EXPECT(md.has(name)); \ std::cout << "expect string for " << name << " to equal " << eq << " (got " << md.getString(name) << ")" \ << std::endl; \ EXPECT_EQUAL(eq, md.getString(name)); // we accept two possible encodings, to enable testing with different versions of ecCodes (ECC-1704) #define MD_EXPECT_STRINGS(md, name, eq1, eq2) \ EXPECT(md.has(name)); \ std::cout << "expect string for " << name << " to equal " << eq1 << " or " << eq2 << " (got " \ << md.getString(name) << ")" << std::endl; \ EXPECT(md.getString(name) == eq1 || md.getString(name) == eq2); #define MD_EXPECT_LONG(md, name, eq) \ EXPECT(md.has(name)); \ std::cout << "expect long for " << name << " to equal " << eq << " (got " << md.getLong(name) << ")" << std::endl; \ EXPECT_EQUAL(eq, md.getLong(name)); #define MD_EXPECT_LONGS(md, name, eq1, eq2) \ EXPECT(md.has(name)); \ std::cout << "expect long for " << name << " to equal " << eq1 << " or " << eq2 << " (got " << md.getLong(name) \ << ")" << std::endl; \ EXPECT(md.getLong(name) == eq1 || md.getLong(name) == eq2); #define MD_EXPECT_GE_LONG(md, name, eq) \ EXPECT(md.has(name)); \ std::cout << "expect long for " << name << " to be greater than or equal to " << eq << " (got " \ << md.getLong(name) << ")" << std::endl; \ EXPECT(md.getLong(name) >= eq); #define MD_EXPECT_DOUBLE(md, name, eq) \ EXPECT(md.has(name)); \ std::cout << "expect double for " << name << " to equal " << std::to_string(eq) << " (got " \ << std::to_string(md.getDouble(name)) << ")" << std::endl; \ EXPECT_EQUAL(std::to_string(eq), std::to_string(md.getDouble(name))); //---------------------------------------------------------------------------------------------------------------------- CASE("test codessplitter unstr_latlot.tmpl Native") { eckit::MemoryHandle data(static_cast(unstr_latlon), sizeof(unstr_latlon)); std::cout << "Data location " << ((size_t)&unstr_latlon) << std::endl; eckit::message::Reader reader(data); eckit::message::Message msg; msg = reader.next(); EXPECT(msg); MetadataSetter md; eckit::message::TypedSetter gatherer{md}; eckit::message::GetMetadataOptions mdOpts{}; mdOpts.valueRepresentation = eckit::message::ValueRepresentation::Native; mdOpts.nameSpace = ""; msg.getMetadata(gatherer, mdOpts); { MD_EXPECT_STRING(md, "globalDomain", "g"); MD_EXPECT_LONG(md, "GRIBEditionNumber", 2); MD_EXPECT_GE_LONG(md, "tablesVersionLatestOfficial", 30); MD_EXPECT_GE_LONG(md, "tablesVersionLatest", 30); MD_EXPECT_LONG(md, "grib2divider", 1000000); MD_EXPECT_LONG(md, "angleSubdivisions", 1000000); MD_EXPECT_LONG(md, "missingValue", 9999); MD_EXPECT_LONG(md, "ieeeFloats", 1); MD_EXPECT_LONG(md, "isHindcast", 0); MD_EXPECT_LONG(md, "section0Length", 16); MD_EXPECT_STRING(md, "identifier", "GRIB"); MD_EXPECT_LONG(md, "discipline", 2); MD_EXPECT_LONG(md, "editionNumber", 2); MD_EXPECT_LONG(md, "totalLength", 159); MD_EXPECT_LONG(md, "section1Length", 21); MD_EXPECT_STRING(md, "centre", "ecmf"); MD_EXPECT_STRING(md, "centreDescription", "European Centre for Medium-Range Weather Forecasts"); MD_EXPECT_LONG(md, "subCentre", 255); MD_EXPECT_LONG(md, "tablesVersion", 25); MD_EXPECT_STRING(md, "masterDir", "grib2/tables/[tablesVersion]"); MD_EXPECT_LONG(md, "localTablesVersion", 0); MD_EXPECT_LONG(md, "significanceOfReferenceTime", 0); MD_EXPECT_LONG(md, "year", 1); MD_EXPECT_LONG(md, "month", 1); MD_EXPECT_LONG(md, "day", 1); MD_EXPECT_LONG(md, "hour", 0); MD_EXPECT_LONG(md, "minute", 0); MD_EXPECT_LONG(md, "second", 0); MD_EXPECT_LONG(md, "dataDate", 10101); MD_EXPECT_DOUBLE(md, "julianDay", 1.7214235e+06); MD_EXPECT_LONG(md, "dataTime", 0); MD_EXPECT_LONG(md, "productionStatusOfProcessedData", 0); MD_EXPECT_STRING(md, "typeOfProcessedData", "an"); MD_EXPECT_LONG(md, "selectStepTemplateInterval", 1); MD_EXPECT_LONG(md, "selectStepTemplateInstant", 1); MD_EXPECT_STRING(md, "stepType", "instant"); MD_EXPECT_LONG(md, "is_chemical", 0); MD_EXPECT_LONG(md, "is_chemical_distfn", 0); MD_EXPECT_LONG(md, "is_chemical_srcsink", 0); MD_EXPECT_LONG(md, "is_aerosol", 0); MD_EXPECT_LONG(md, "is_aerosol_optical", 0); MD_EXPECT_LONG(md, "setCalendarId", 0); MD_EXPECT_LONG(md, "deleteCalendarId", 0); MD_EXPECT_LONG(md, "grib2LocalSectionPresent", 0); MD_EXPECT_LONG(md, "deleteLocalDefinition", 0); MD_EXPECT_LONG(md, "section2Length", 17); MD_EXPECT_LONG(md, "addEmptySection2", 0); MD_EXPECT_LONG(md, "grib2LocalSectionNumber", 1); MD_EXPECT_STRING(md, "marsClass", "od"); MD_EXPECT_STRING(md, "marsType", "an"); MD_EXPECT_STRING(md, "marsStream", "oper"); MD_EXPECT_STRING(md, "experimentVersionNumber", "0001"); MD_EXPECT_STRING(md, "class", "od"); MD_EXPECT_STRING(md, "type", "an"); MD_EXPECT_STRING(md, "stream", "oper"); MD_EXPECT_LONG(md, "productDefinitionTemplateNumberInternal", -1); MD_EXPECT_LONG(md, "localDefinitionNumber", 1); MD_EXPECT_LONG(md, "eps", 0); MD_EXPECT_LONG(md, "addExtraLocalSection", 0); MD_EXPECT_LONG(md, "deleteExtraLocalSection", 0); MD_EXPECT_LONG(md, "extraLocalSectionPresent", 0); MD_EXPECT_LONG(md, "gridDescriptionSectionPresent", 1); MD_EXPECT_LONG(md, "section3Length", 35); MD_EXPECT_LONG(md, "sourceOfGridDefinition", 0); MD_EXPECT_LONG(md, "numberOfDataPoints", 496); MD_EXPECT_LONG(md, "numberOfOctectsForNumberOfPoints", 0); MD_EXPECT_LONG(md, "interpretationOfNumberOfPoints", 0); MD_EXPECT_LONG(md, "PLPresent", 0); MD_EXPECT_LONG(md, "gridDefinitionTemplateNumber", 101); MD_EXPECT_STRING(md, "gridDefinitionDescription", "General unstructured grid"); MD_EXPECT_LONG(md, "shapeOfTheEarth", 6); MD_EXPECT_LONG(md, "numberOfGridUsed", 10); MD_EXPECT_LONG(md, "numberOfGridInReference", 1); MD_EXPECT_STRINGS(md, "unstructuredGridType", "unknown", "DART"); MD_EXPECT_STRING(md, "unstructuredGridSubtype", "T"); MD_EXPECT_STRING(md, "unstructuredGridUUID", "unknown"); MD_EXPECT_STRINGS(md, "gridName", "unknown", "DART_T"); MD_EXPECT_STRING(md, "gridType", "unstructured_grid"); MD_EXPECT_LONG(md, "section4Length", 34); MD_EXPECT_LONG(md, "NV", 0); MD_EXPECT_LONG(md, "neitherPresent", 0); MD_EXPECT_STRING(md, "datasetForLocal", "unknown"); MD_EXPECT_LONG(md, "productDefinitionTemplateNumber", 0); MD_EXPECT_LONG(md, "genVertHeightCoords", 0); MD_EXPECT_LONG(md, "parameterCategory", 0); MD_EXPECT_LONG(md, "parameterNumber", 0); MD_EXPECT_STRING(md, "parameterUnits", "Proportion"); MD_EXPECT_STRING(md, "parameterName", "Land cover (0 = sea, 1 = land)"); MD_EXPECT_LONG(md, "typeOfGeneratingProcess", 2); MD_EXPECT_LONG(md, "backgroundProcess", 0); MD_EXPECT_LONG(md, "generatingProcessIdentifier", 1); MD_EXPECT_LONG(md, "hoursAfterDataCutoff", 0); MD_EXPECT_LONG(md, "minutesAfterDataCutoff", 0); // MD_EXPECT_LONG(md, "indicatorOfUnitOfTimeRange", 1); MD_EXPECT_LONG(md, "stepUnits", 1); MD_EXPECT_LONG(md, "forecastTime", 0); MD_EXPECT_LONG(md, "startStep", 0); MD_EXPECT_LONG(md, "endStep", 0); MD_EXPECT_STRING(md, "stepRange", "0"); MD_EXPECT_LONG(md, "validityDate", 10101); MD_EXPECT_STRINGS(md, "validityTime", "0", "0000"); MD_EXPECT_STRING(md, "typeOfFirstFixedSurface", "168"); MD_EXPECT_STRING(md, "unitsOfFirstFixedSurface", "Numeric"); MD_EXPECT_STRING(md, "nameOfFirstFixedSurface", "Ocean model level"); MD_EXPECT_LONG(md, "scaleFactorOfFirstFixedSurface", 0); MD_EXPECT_LONG(md, "scaledValueOfFirstFixedSurface", 2147483647); MD_EXPECT_LONG(md, "typeOfSecondFixedSurface", 255); MD_EXPECT_STRING(md, "unitsOfSecondFixedSurface", "unknown"); MD_EXPECT_STRING(md, "nameOfSecondFixedSurface", "Missing"); MD_EXPECT_LONG(md, "scaleFactorOfSecondFixedSurface", 0); MD_EXPECT_LONG(md, "scaledValueOfSecondFixedSurface", 2147483647); MD_EXPECT_STRING(md, "pressureUnits", "hPa"); MD_EXPECT_STRING(md, "typeOfLevel", "oceanModel"); MD_EXPECT_LONG(md, "level", 0); MD_EXPECT_LONG(md, "bottomLevel", 0); MD_EXPECT_LONG(md, "topLevel", 0); MD_EXPECT_STRING(md, "tempPressureUnits", "hPa"); MD_EXPECT_STRING(md, "levtype", "o3d"); MD_EXPECT_LONG(md, "PVPresent", 0); MD_EXPECT_STRING(md, "deletePV", "1"); MD_EXPECT_LONGS(md, "lengthOfHeaders", 107, 117); // changed, as a consequence of fixes for ECC-2268 MD_EXPECT_LONG(md, "section5Length", 21); MD_EXPECT_LONG(md, "numberOfValues", 496); MD_EXPECT_LONG(md, "dataRepresentationTemplateNumber", 0); MD_EXPECT_STRING(md, "packingType", "grid_simple"); MD_EXPECT_LONG(md, "referenceValue", 0); MD_EXPECT_DOUBLE(md, "referenceValueError", 1.17549e-38); MD_EXPECT_LONG(md, "binaryScaleFactor", -15); MD_EXPECT_LONG(md, "decimalScaleFactor", 0); MD_EXPECT_LONG(md, "optimizeScaleFactor", 0); MD_EXPECT_LONG(md, "bitsPerValue", 0); MD_EXPECT_LONG(md, "typeOfOriginalFieldValues", 0); MD_EXPECT_LONG(md, "section6Length", 6); MD_EXPECT_LONG(md, "bitMapIndicator", 255); MD_EXPECT_LONG(md, "bitmapPresent", 0); MD_EXPECT_LONG(md, "section7Length", 5); MD_EXPECT_DOUBLE(md, "packingError", 1.17549e-38); MD_EXPECT_DOUBLE(md, "unpackedError", 1.17549e-38); MD_EXPECT_LONG(md, "maximum", 0); MD_EXPECT_LONG(md, "minimum", 0); MD_EXPECT_LONG(md, "average", 0); MD_EXPECT_LONG(md, "numberOfMissing", 0); MD_EXPECT_LONG(md, "standardDeviation", 0); MD_EXPECT_LONG(md, "skewness", 0); MD_EXPECT_LONG(md, "kurtosis", 0); MD_EXPECT_LONG(md, "isConstant", 1); MD_EXPECT_LONG(md, "changeDecimalPrecision", 0); MD_EXPECT_LONG(md, "decimalPrecision", 0); MD_EXPECT_LONG(md, "setBitsPerValue", 0); MD_EXPECT_LONG(md, "getNumberOfValues", 496); MD_EXPECT_LONG(md, "scaleValuesBy", 1); MD_EXPECT_LONG(md, "offsetValuesBy", 0); MD_EXPECT_STRING(md, "productType", "unknown"); MD_EXPECT_LONG(md, "section8Length", 4); MD_EXPECT_STRING(md, "7777", "7777"); MD_EXPECT_STRING(md, "uuidOfHGrid", "66a341d21dcf11b2880c0f1645f3d1dc"); } } //---------------------------------------------------------------------------------------------------------------------- CASE("test codessplitter unstr_latlot.tmpl String") { eckit::MemoryHandle data(static_cast(unstr_latlon), sizeof(unstr_latlon)); std::cout << "Data location " << ((size_t)&unstr_latlon) << std::endl; eckit::message::Reader reader(data); eckit::message::Message msg; msg = reader.next(); EXPECT(msg); MetadataSetter md; eckit::message::TypedSetter gatherer{md}; eckit::message::GetMetadataOptions mdOpts{}; mdOpts.valueRepresentation = eckit::message::ValueRepresentation::String; mdOpts.nameSpace = ""; msg.getMetadata(gatherer, mdOpts); { MD_EXPECT_STRING(md, "globalDomain", "g"); MD_EXPECT_STRING(md, "GRIBEditionNumber", "2"); // This is not easy to test, as the latest official version can increment... // MD_EXPECT_STRING(md, "tablesVersionLatestOfficial", "30"); // MD_EXPECT_STRING(md, "tablesVersionLatest", "30"); MD_EXPECT_STRING(md, "grib2divider", "1e+06"); MD_EXPECT_STRING(md, "angleSubdivisions", "1e+06"); MD_EXPECT_STRING(md, "missingValue", "9999"); MD_EXPECT_STRING(md, "ieeeFloats", "1"); MD_EXPECT_STRING(md, "isHindcast", "0"); MD_EXPECT_STRING(md, "section0Length", "16"); MD_EXPECT_STRING(md, "identifier", "GRIB"); MD_EXPECT_STRING(md, "discipline", "2"); MD_EXPECT_STRING(md, "editionNumber", "2"); MD_EXPECT_STRING(md, "totalLength", "159"); MD_EXPECT_STRING(md, "section1Length", "21"); MD_EXPECT_STRING(md, "centre", "ecmf"); MD_EXPECT_STRING(md, "centreDescription", "European Centre for Medium-Range Weather Forecasts"); MD_EXPECT_STRING(md, "subCentre", "255"); MD_EXPECT_STRING(md, "tablesVersion", "25"); MD_EXPECT_STRING(md, "masterDir", "grib2/tables/[tablesVersion]"); MD_EXPECT_STRING(md, "localTablesVersion", "0"); MD_EXPECT_STRING(md, "significanceOfReferenceTime", "0"); MD_EXPECT_STRING(md, "year", "1"); MD_EXPECT_STRING(md, "month", "1"); MD_EXPECT_STRING(md, "day", "1"); MD_EXPECT_STRING(md, "hour", "0"); MD_EXPECT_STRING(md, "minute", "0"); MD_EXPECT_STRING(md, "second", "0"); MD_EXPECT_STRING(md, "dataDate", "10101"); MD_EXPECT_STRING(md, "julianDay", "1.72142e+06"); MD_EXPECT_STRING(md, "dataTime", "0000"); MD_EXPECT_STRING(md, "productionStatusOfProcessedData", "0"); MD_EXPECT_STRING(md, "typeOfProcessedData", "an"); MD_EXPECT_STRING(md, "selectStepTemplateInterval", "1"); MD_EXPECT_STRING(md, "selectStepTemplateInstant", "1"); MD_EXPECT_STRING(md, "stepType", "instant"); MD_EXPECT_STRING(md, "is_chemical", "0"); MD_EXPECT_STRING(md, "is_chemical_distfn", "0"); MD_EXPECT_STRING(md, "is_chemical_srcsink", "0"); MD_EXPECT_STRING(md, "is_aerosol", "0"); MD_EXPECT_STRING(md, "is_aerosol_optical", "0"); MD_EXPECT_STRING(md, "setCalendarId", "0"); MD_EXPECT_STRING(md, "deleteCalendarId", "0"); MD_EXPECT_STRING(md, "grib2LocalSectionPresent", "0"); MD_EXPECT_STRING(md, "deleteLocalDefinition", "0"); MD_EXPECT_STRING(md, "section2Length", "17"); MD_EXPECT_STRING(md, "addEmptySection2", "0"); MD_EXPECT_STRING(md, "grib2LocalSectionNumber", "1"); MD_EXPECT_STRING(md, "marsClass", "od"); MD_EXPECT_STRING(md, "marsType", "an"); MD_EXPECT_STRING(md, "marsStream", "oper"); MD_EXPECT_STRING(md, "experimentVersionNumber", "0001"); MD_EXPECT_STRING(md, "class", "od"); MD_EXPECT_STRING(md, "type", "an"); MD_EXPECT_STRING(md, "stream", "oper"); MD_EXPECT_STRING(md, "productDefinitionTemplateNumberInternal", "-1"); MD_EXPECT_STRING(md, "localDefinitionNumber", "1"); MD_EXPECT_STRING(md, "eps", "0"); MD_EXPECT_STRING(md, "addExtraLocalSection", "0"); MD_EXPECT_STRING(md, "deleteExtraLocalSection", "0"); MD_EXPECT_STRING(md, "extraLocalSectionPresent", "0"); MD_EXPECT_STRING(md, "gridDescriptionSectionPresent", "1"); MD_EXPECT_STRING(md, "section3Length", "35"); MD_EXPECT_STRING(md, "sourceOfGridDefinition", "0"); MD_EXPECT_STRING(md, "numberOfDataPoints", "496"); MD_EXPECT_STRING(md, "numberOfOctectsForNumberOfPoints", "0"); MD_EXPECT_STRING(md, "interpretationOfNumberOfPoints", "0"); MD_EXPECT_STRING(md, "PLPresent", "0"); MD_EXPECT_STRING(md, "gridDefinitionTemplateNumber", "101"); MD_EXPECT_STRING(md, "gridDefinitionDescription", "General unstructured grid"); MD_EXPECT_STRING(md, "shapeOfTheEarth", "6"); MD_EXPECT_STRING(md, "numberOfGridUsed", "10"); MD_EXPECT_STRING(md, "numberOfGridInReference", "1"); MD_EXPECT_STRING(md, "uuidOfHGrid", "66a341d21dcf11b2880c0f1645f3d1dc"); MD_EXPECT_STRINGS(md, "unstructuredGridType", "unknown", "DART"); MD_EXPECT_STRING(md, "unstructuredGridSubtype", "T"); MD_EXPECT_STRING(md, "unstructuredGridUUID", "unknown"); MD_EXPECT_STRINGS(md, "gridName", "unknown", "DART_T"); MD_EXPECT_STRING(md, "gridType", "unstructured_grid"); MD_EXPECT_STRING(md, "section4Length", "34"); MD_EXPECT_STRING(md, "NV", "0"); MD_EXPECT_STRING(md, "neitherPresent", "0"); MD_EXPECT_STRING(md, "datasetForLocal", "unknown"); MD_EXPECT_STRING(md, "productDefinitionTemplateNumber", "0"); MD_EXPECT_STRING(md, "genVertHeightCoords", "0"); MD_EXPECT_STRING(md, "parameterCategory", "0"); MD_EXPECT_STRING(md, "parameterNumber", "0"); MD_EXPECT_STRING(md, "parameterUnits", "Proportion"); MD_EXPECT_STRING(md, "parameterName", "Land cover (0 = sea, 1 = land)"); MD_EXPECT_STRING(md, "typeOfGeneratingProcess", "2"); MD_EXPECT_STRING(md, "backgroundProcess", "0"); MD_EXPECT_STRING(md, "generatingProcessIdentifier", "1"); MD_EXPECT_STRING(md, "hoursAfterDataCutoff", "0"); MD_EXPECT_STRING(md, "minutesAfterDataCutoff", "0"); // MD_EXPECT_STRING(md, "indicatorOfUnitOfTimeRange", "h"); MD_EXPECT_STRING(md, "stepUnits", "h"); MD_EXPECT_STRING(md, "forecastTime", "0"); MD_EXPECT_STRING(md, "startStep", "0"); MD_EXPECT_STRING(md, "endStep", "0"); MD_EXPECT_STRING(md, "stepRange", "0"); MD_EXPECT_STRING(md, "validityDate", "10101"); MD_EXPECT_STRINGS(md, "validityTime", "0", "0000"); MD_EXPECT_STRING(md, "typeOfFirstFixedSurface", "168"); MD_EXPECT_STRING(md, "unitsOfFirstFixedSurface", "Numeric"); MD_EXPECT_STRING(md, "nameOfFirstFixedSurface", "Ocean model level"); MD_EXPECT_STRING(md, "scaleFactorOfFirstFixedSurface", "0"); MD_EXPECT_STRING(md, "scaledValueOfFirstFixedSurface", "MISSING"); MD_EXPECT_STRING(md, "typeOfSecondFixedSurface", "255"); MD_EXPECT_STRING(md, "unitsOfSecondFixedSurface", "unknown"); MD_EXPECT_STRING(md, "nameOfSecondFixedSurface", "Missing"); MD_EXPECT_STRING(md, "scaleFactorOfSecondFixedSurface", "0"); MD_EXPECT_STRING(md, "scaledValueOfSecondFixedSurface", "MISSING"); MD_EXPECT_STRING(md, "pressureUnits", "hPa"); MD_EXPECT_STRING(md, "typeOfLevel", "oceanModel"); MD_EXPECT_STRING(md, "level", "0"); MD_EXPECT_STRING(md, "bottomLevel", "0"); MD_EXPECT_STRING(md, "topLevel", "0"); MD_EXPECT_STRING(md, "tempPressureUnits", "hPa"); MD_EXPECT_STRING(md, "levtype", "o3d"); MD_EXPECT_STRING(md, "PVPresent", "0"); MD_EXPECT_STRING(md, "deletePV", "1"); MD_EXPECT_STRINGS(md, "lengthOfHeaders", "107", "117"); // changed, as a consequence of fixes for ECC-2268 MD_EXPECT_STRING(md, "section5Length", "21"); MD_EXPECT_STRING(md, "numberOfValues", "496"); MD_EXPECT_STRING(md, "dataRepresentationTemplateNumber", "0"); MD_EXPECT_STRING(md, "packingType", "grid_simple"); MD_EXPECT_STRING(md, "referenceValue", "0"); MD_EXPECT_STRING(md, "referenceValueError", "1.17549e-38"); MD_EXPECT_STRING(md, "binaryScaleFactor", "-15"); MD_EXPECT_STRING(md, "decimalScaleFactor", "0"); MD_EXPECT_STRING(md, "optimizeScaleFactor", "0"); MD_EXPECT_STRING(md, "bitsPerValue", "0"); MD_EXPECT_STRING(md, "typeOfOriginalFieldValues", "0"); MD_EXPECT_STRING(md, "section6Length", "6"); MD_EXPECT_STRING(md, "bitMapIndicator", "255"); MD_EXPECT_STRING(md, "bitmapPresent", "0"); MD_EXPECT_STRING(md, "section7Length", "5"); MD_EXPECT_STRING(md, "packingError", "1.17549e-38"); MD_EXPECT_STRING(md, "unpackedError", "1.17549e-38"); MD_EXPECT_STRING(md, "maximum", "0"); MD_EXPECT_STRING(md, "minimum", "0"); MD_EXPECT_STRING(md, "average", "0"); MD_EXPECT_STRING(md, "numberOfMissing", "0"); MD_EXPECT_STRING(md, "standardDeviation", "0"); MD_EXPECT_STRING(md, "skewness", "0"); MD_EXPECT_STRING(md, "kurtosis", "0"); MD_EXPECT_STRING(md, "isConstant", "1"); MD_EXPECT_STRING(md, "changeDecimalPrecision", "0"); MD_EXPECT_STRING(md, "decimalPrecision", "0"); MD_EXPECT_STRING(md, "setBitsPerValue", "0"); MD_EXPECT_STRING(md, "getNumberOfValues", "496"); MD_EXPECT_STRING(md, "scaleValuesBy", "1"); MD_EXPECT_STRING(md, "offsetValuesBy", "0"); MD_EXPECT_STRING(md, "productType", "unknown"); MD_EXPECT_STRING(md, "section8Length", "4"); MD_EXPECT_STRING(md, "7777", "7777"); } } CASE("test levelist String") { eckit::FileHandle f("pl.grib"); eckit::message::Reader reader(f); eckit::message::Message msg; std::vector expect{"0", "0.02", "0.2", "2", "20", "200"}; for (size_t i = 0; i < expect.size(); ++i) { msg = reader.next(); EXPECT(msg); MetadataSetter md; eckit::message::TypedSetter gatherer{md}; eckit::message::GetMetadataOptions mdOpts{}; mdOpts.valueRepresentation = eckit::message::ValueRepresentation::String; msg.getMetadata(gatherer, mdOpts); { MD_EXPECT_STRING(md, "levelist", expect[i]); } } msg = reader.next(); EXPECT(!msg); } CASE("test levelist Native") { eckit::FileHandle f("pl.grib"); eckit::message::Reader reader(f); eckit::message::Message msg; std::vector expect{0, 0.02, 0.2, 2, 20, 200}; for (size_t i = 0; i < expect.size(); ++i) { msg = reader.next(); EXPECT(msg); MetadataSetter md; eckit::message::TypedSetter gatherer{md}; eckit::message::GetMetadataOptions mdOpts{}; mdOpts.valueRepresentation = eckit::message::ValueRepresentation::Native; msg.getMetadata(gatherer, mdOpts); { MD_EXPECT_DOUBLE(md, "levelist", expect[i]); } } msg = reader.next(); EXPECT(!msg); } CASE("test levelist String") { eckit::FileHandle f("sol.grib"); eckit::message::Reader reader(f); eckit::message::Message msg; std::vector expect{"0.02", "0.2", "2", "20"}; for (size_t i = 0; i < expect.size(); ++i) { msg = reader.next(); EXPECT(msg); MetadataSetter md; eckit::message::TypedSetter gatherer{md}; eckit::message::GetMetadataOptions mdOpts{}; mdOpts.valueRepresentation = eckit::message::ValueRepresentation::String; msg.getMetadata(gatherer, mdOpts); { MD_EXPECT_STRING(md, "levelist", expect[i]); } } msg = reader.next(); EXPECT(!msg); } CASE("test levelist Native") { eckit::FileHandle f("sol.grib"); eckit::message::Reader reader(f); eckit::message::Message msg; std::vector expect{0.02, 0.2, 2, 20}; for (size_t i = 0; i < expect.size(); ++i) { msg = reader.next(); EXPECT(msg); MetadataSetter md; eckit::message::TypedSetter gatherer{md}; eckit::message::GetMetadataOptions mdOpts{}; mdOpts.valueRepresentation = eckit::message::ValueRepresentation::Native; msg.getMetadata(gatherer, mdOpts); { MD_EXPECT_DOUBLE(md, "levelist", expect[i]); } } msg = reader.next(); EXPECT(!msg); } //---------------------------------------------------------------------------------------------------------------------- } // namespace metkit::codes::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_step.cc0000664000175000017500000000702215263642712016751 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_step.cc /// @author Emanuele Danovaro /// @date March 2025 #include #include #include "eckit/testing/Test.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/Type.h" namespace metkit::mars::test { using ::eckit::BadValue; //----------------------------------------------------------------------------- void assertTypeExpansion(const std::string& name, std::vector values, const std::vector& expected) { MarsLanguage::get("retrieve").type(name)->expand(values); EXPECT_EQUAL(expected, values); } CASE("Test Step expansions") { // times with units assertTypeExpansion("step", {"0"}, {"0"}); assertTypeExpansion("step", {"12"}, {"12"}); assertTypeExpansion("step", {"260m"}, {"4h20m"}); assertTypeExpansion("step", {"30m", "1h", "1h30m", "120m"}, {"30m", "1", "1h30m", "2"}); assertTypeExpansion("step", {"0-1"}, {"0-1"}); assertTypeExpansion("step", {"30m-60m"}, {"30m-1"}); EXPECT_THROWS_AS(assertTypeExpansion("step", {"-1"}, {""}), BadValue); EXPECT_THROWS_AS(assertTypeExpansion("step", {"2-1"}, {""}), BadValue); assertTypeExpansion("step", {"0-3", "to", "9-12", "by", "3h"}, {"0-3", "3-6", "6-9", "9-12"}); assertTypeExpansion("step", {"0-3", "to", "0-12", "by", "3"}, {"0-3"}); assertTypeExpansion("step", {"0-30m", "to", "1h30m-2h", "by", "30m"}, {"0-30m", "30m-1", "1-1h30m", "1h30m-2"}); assertTypeExpansion( "step", {"0m", "to", "1440m", "by", "10m"}, {"0", "10m", "20m", "30m", "40m", "50m", "1", "1h10m", "1h20m", "1h30m", "1h40m", "1h50m", "2", "2h10m", "2h20m", "2h30m", "2h40m", "2h50m", "3", "3h10m", "3h20m", "3h30m", "3h40m", "3h50m", "4", "4h10m", "4h20m", "4h30m", "4h40m", "4h50m", "5", "5h10m", "5h20m", "5h30m", "5h40m", "5h50m", "6", "6h10m", "6h20m", "6h30m", "6h40m", "6h50m", "7", "7h10m", "7h20m", "7h30m", "7h40m", "7h50m", "8", "8h10m", "8h20m", "8h30m", "8h40m", "8h50m", "9", "9h10m", "9h20m", "9h30m", "9h40m", "9h50m", "10", "10h10m", "10h20m", "10h30m", "10h40m", "10h50m", "11", "11h10m", "11h20m", "11h30m", "11h40m", "11h50m", "12", "12h10m", "12h20m", "12h30m", "12h40m", "12h50m", "13", "13h10m", "13h20m", "13h30m", "13h40m", "13h50m", "14", "14h10m", "14h20m", "14h30m", "14h40m", "14h50m", "15", "15h10m", "15h20m", "15h30m", "15h40m", "15h50m", "16", "16h10m", "16h20m", "16h30m", "16h40m", "16h50m", "17", "17h10m", "17h20m", "17h30m", "17h40m", "17h50m", "18", "18h10m", "18h20m", "18h30m", "18h40m", "18h50m", "19", "19h10m", "19h20m", "19h30m", "19h40m", "19h50m", "20", "20h10m", "20h20m", "20h30m", "20h40m", "20h50m", "21", "21h10m", "21h20m", "21h30m", "21h40m", "21h50m", "22", "22h10m", "22h20m", "22h30m", "22h40m", "22h50m", "23", "23h10m", "23h20m", "23h30m", "23h40m", "23h50m", "24"}); } //----------------------------------------------------------------------------- } // namespace metkit::mars::test int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_steprange_axis.cc0000664000175000017500000001160515263642712021014 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_param_axis.cc /// @author Baudouin Raoult /// @date Mai 2019 #include #include #include #include #include "eckit/testing/Test.h" #include "eckit/types/FloatCompare.h" #include "metkit/mars/StepRange.h" #include "metkit/mars/StepRangeNormalise.h" namespace eckit { template <> struct VectorPrintSelector { using selector = VectorPrintSimple; }; } // namespace eckit namespace metkit::mars::test { //----------------------------------------------------------------------------- CASE("steprange") { { StepRange sr{0, 24}; EXPECT_EQUAL(sr.from(), 0); EXPECT_EQUAL(sr.to(), 24); } { StepRange sr{"0-24"}; EXPECT_EQUAL(sr.from(), 0); EXPECT_EQUAL(sr.to(), 24); } { StepRange sr{0, .5}; EXPECT_EQUAL(sr.from(), 0); EXPECT(eckit::types::is_approximately_equal(sr.to(), 0.5)); } { StepRange sr{"0-30m"}; EXPECT_EQUAL(sr.from(), 0); EXPECT(eckit::types::is_approximately_equal(sr.to(), 0.5)); } { StepRange sr{"0-24s"}; EXPECT_EQUAL(sr.from(), 0); EXPECT(eckit::types::is_approximately_equal(sr.to(), 24. / 3600.)); } { StepRange sr{"40m-260m"}; EXPECT(eckit::types::is_approximately_equal(sr.from(), 2. / 3.)); EXPECT(eckit::types::is_approximately_equal(sr.to(), 4 + 1. / 3.)); } { StepRange sr{"20m"}; EXPECT_EQUAL(sr.toString(), "20m"); EXPECT_EQUAL(sr.toString(true), "20m"); } { StepRange sr{"60m"}; EXPECT_EQUAL(sr.toString(), "1"); EXPECT_EQUAL(sr.toString(true, false), "1"); EXPECT_EQUAL(sr.toString(true, true), "1h"); } { StepRange sr{"1d"}; EXPECT_EQUAL(sr.toString(), "24"); EXPECT_EQUAL(sr.toString(true, false), "1d"); EXPECT_EQUAL(sr.toString(true, true), "1d"); } { StepRange sr{"25"}; EXPECT_EQUAL(sr.toString(), "25"); EXPECT_EQUAL(sr.toString(true, false), "1d1h"); EXPECT_EQUAL(sr.toString(true, true), "1d1h"); } } static void test_steprange_axis(const std::vector& user, const std::vector& axis, const std::vector& expect) { std::vector values(user.begin(), user.end()); std::vector result(expect.begin(), expect.end()); std::vector index(axis.begin(), axis.end()); std::sort(index.begin(), index.end()); std::cout << "User:" << values << std::endl; std::cout << "Axis:" << index << std::endl; StepRangeNormalise::normalise(values, index); std::cout << "Result:" << values << std::endl; EXPECT_EQUAL(values, result); } CASE("trivial") { std::vector user = {"1", "2", "3"}; std::vector axis = {"1", "2", "3"}; std::vector expect = {"1", "2", "3"}; test_steprange_axis(user, axis, expect); } CASE("subselection") { std::vector user = {"2", "3"}; std::vector axis = {"1", "2", "3"}; std::vector expect = {"2", "3"}; test_steprange_axis(user, axis, expect); } CASE("missing values") { std::vector user = {"1", "2", "3"}; std::vector axis = {"1", "3"}; std::vector expect = {"1", "3"}; test_steprange_axis(user, axis, expect); } CASE("ranges") { std::vector user = {"0-24", "24-48", "3-9"}; std::vector axis = {"0-24", "6-30", "12-36", "18-42", "24-48"}; std::vector expect = {"0-24", "24-48"}; test_steprange_axis(user, axis, expect); } CASE("default start-point") { std::vector user = {"1", "2", "24", "25"}; std::vector axis = {"1", "0-1", "3", "0-3", "0-24", "25"}; std::vector expect = {"1", "0-1", "0-24", "25"}; test_steprange_axis(user, axis, expect); } CASE("match range start") { // SDS: I'm not really sure why this is supported, but the original // MARS code did it... std::vector user = {"2-24"}; std::vector axis = {"1", "2", "3"}; std::vector expect = {"2"}; test_steprange_axis(user, axis, expect); } } // namespace metkit::mars::test //----------------------------------------------------------------------------- int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/test_type_levelist.cc0000664000175000017500000000612715263642712020673 0ustar alastairalastair/* * (C) Copyright 1996- ECMWF. * * This software is licensed under the terms of the Apache Licence Version 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ /// @file test_levelist.cc /// @author Metin Cakircali /// @author Emanuele Danovaro /// @date November 2023 #include #include #include #include "eckit/testing/Test.h" #include "metkit/mars/MarsLanguage.h" #include "metkit/mars/Type.h" #include "metkit/mars/TypesFactory.h" namespace metkit::mars::test { //----------------------------------------------------------------------------- CASE("test_metkit_exists_to-by-list-float") { std::stringstream ss; TypesFactory::list(ss); const std::string str(ss.str()); EXPECT(str.find_first_of("to-by-list-float")); } void assertTypeExpansion(const std::string& name, std::vector values, const std::vector& expected) { MarsLanguage::get("retrieve").type(name)->expand(values); EXPECT_EQUAL(values, expected); } CASE("test_metkit_expand_levelist") { // by > 0 assertTypeExpansion("levelist", {"-1", "to", "2", "by", "0.5"}, {"-1", "-0.5", "0", ".5", "1", "1.5", "2"}); // by > 0 assertTypeExpansion("levelist", {"-10.0", "to", "2.0", "by", "1"}, {"-10", "-9", "-8", "-7", "-6", "-5", "-4", "-3", "-2", "-1", "0", "1", "2"}); // by > 0 && from < to assertTypeExpansion("levelist", {"4", "to", "20", "by", "4"}, {"4", "8", "12", "16", "20"}); assertTypeExpansion("levelist", {"4", "to", "18", "by", "4"}, {"4", "8", "12", "16"}); // by > 0 && from > to assertTypeExpansion("levelist", {"20", "to", "4", "by", "4"}, {"20", "16", "12", "8", "4"}); // by = 0 EXPECT_THROWS_AS(assertTypeExpansion("levelist", {"4", "to", "20", "by", "0"}, {"4"}), eckit::BadValue); EXPECT_THROWS_AS(assertTypeExpansion("levelist", {"-1", "to", "2", "by", "0"}, {"-1"}), eckit::BadValue); // by < 0 && from > to assertTypeExpansion("levelist", {"20", "to", "4", "by", "-4"}, {"20", "16", "12", "8", "4"}); assertTypeExpansion("levelist", {"10", "to", "4", "by", "-2"}, {"10", "8", "6", "4"}); assertTypeExpansion("levelist", {"-2", "to", "-4", "by", "-0.5"}, {"-2", "-2.5", "-3", "-3.5", "-4"}); assertTypeExpansion("levelist", {"0", "to", "-2", "by", "-0.5"}, {"0", "-0.5", "-1", "-1.5", "-2"}); // by < 0 && from < to EXPECT_THROWS_AS(assertTypeExpansion("levelist", {"4", "to", "10", "by", "-4"}, {"4", "8", "12", "16", "20"}), eckit::BadValue); EXPECT_THROWS_AS( assertTypeExpansion("levelist", {"-4", "to", "2", "by", "-0.5"}, {"0", "-0.5", "-1", "-1.5", "-2"}), eckit::BadValue); } } // namespace metkit::mars::test //----------------------------------------------------------------------------- int main(int argc, char** argv) { return eckit::testing::run_tests(argc, argv); } metkit-1.22.0/tests/grib2grib/0000775000175000017500000000000015263642712016300 5ustar alastairalastairmetkit-1.22.0/tests/grib2grib/roundtrip.cc0000664000175000017500000001703115263642712020637 0ustar alastairalastair/* * (C) Copyright 2026- ECMWF and individual contributors. * * This software is licensed under the terms of the Apache Licence cVersion 2.0 * which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. * In applying this licence, ECMWF does not waive the privileges and immunities * granted to it by virtue of its status as an intergovernmental organisation nor * does it submit to any jurisdiction. */ #include #include #include #include #include "eckit/config/LocalConfiguration.h" #include "eckit/io/AutoCloser.h" #include "eckit/io/FileHandle.h" #include "eckit/log/Log.h" #include "eckit/option/CmdArgs.h" #include "eckit/option/SimpleOption.h" #include "eckit/runtime/Main.h" #include "eckit/runtime/Tool.h" #include "eccodes.h" #include "metkit/grib2mars/api/Grib2Mars.h" #include "metkit/mars2grib/api/Mars2Grib.h" // Note: not in eccodes.h extern "C" int codes_compare_key(codes_handle*, codes_handle*, const char* key, int compare_flags); void get_vector_double(codes_handle* h, const std::string& k, std::vector& v) { size_t size1 = 0; ASSERT(CODES_SUCCESS == codes_get_size(h, k.c_str(), &size1)); v.resize(size1); size_t size2 = size1; ASSERT(CODES_SUCCESS == codes_get_double_array(h, k.c_str(), v.data(), &size2)); ASSERT(size2 == size1); } auto print_key_value = [](const codes_handle* h, const char* key, eckit::Channel& out) { int type = CODES_TYPE_UNDEFINED; ASSERT(codes_get_native_type(h, key, &type) == CODES_SUCCESS); out << "'" << key << "': "; if (type == CODES_TYPE_UNDEFINED) { out << "undefined" << std::endl; } else if (type == CODES_TYPE_LONG) { long value = 0; codes_get_long(h, key, &value); if (value == CODES_MISSING_LONG) { out << "MISSING" << std::endl; } else { out << "long=" << value << std::endl; } } else if (type == CODES_TYPE_DOUBLE) { double value = 0; codes_get_double(h, key, &value); if (value == CODES_MISSING_DOUBLE) { out << "MISSING" << std::endl; } else { out << "double=" << value << std::endl; } } else if (type == CODES_TYPE_STRING) { std::string str(512, '\0'); size_t size = str.size(); codes_get_string(h, key, str.data(), &size); str.resize(std::strlen(str.c_str())); // 'size' may include the trailing '\0' out << "string='" << str << "'" << std::endl; } else if (type == CODES_TYPE_BYTES) { std::vector bytes(512, '\0'); size_t size = bytes.size(); codes_get_bytes(h, key, bytes.data(), &size); bytes.resize(size); out << std::hex; out << "bytes=["; for (size_t i = 0; i < size; ++i) { out << bytes[i]; } out << std::dec << "]" << std::endl; } else if (type == CODES_TYPE_SECTION) { out << "section" << std::endl; } else if (type == CODES_TYPE_LABEL) { out << "label" << std::endl; } else if (type == CODES_TYPE_MISSING) { out << "missing" << std::endl; } }; template using Option = eckit::option::SimpleOption; class Roundtrip : public eckit::Tool { using Tool::Tool; static void usage(const std::string& name) { eckit::Log::info() << name << " file [grid]" << std::endl; exit(1); } void run() override { std::vector options; options.push_back(new Option("grid", "MARS grid")); options.push_back(new Option("valid", "Check isMessageValid (default true)")); options.push_back(new Option("cmp", "Check message bytes (cmp-like) (default false)")); options.push_back( new Option("keys", "Check grib key values (grib_compare-like, in-memory) (default false)")); options.push_back(new Option("out", "Write encoded message to file (default empty, no output)")); eckit::option::CmdArgs args(usage, options, 1, 1); ASSERT(args.count() == 1); auto* f = std::fopen(args(0).c_str(), "rb"); ASSERT(f != nullptr); int err = 0; auto* g = codes_handle_new_from_file(0, f, PRODUCT_GRIB, &err); ASSERT(g != nullptr && err == 0); std::vector values; get_vector_double(g, "values", values); { eckit::LocalConfiguration cfg; cfg.set("skipSection3", true); metkit::grib2mars::Grib2Mars grib2mars(cfg); metkit::mars2grib::Mars2Grib mars2grib(cfg); auto ch = metkit::codes::codesHandleFromGRIBHandle(g); ASSERT(ch); auto [mars, misc] = grib2mars.convert(*ch); if (args.has("grid")) { mars.remove("area"); mars.remove("rotation"); mars.set("grid", args.getString("grid")); } const auto h = mars2grib.encode(values, mars, misc); ASSERT(h); if (auto path = args.getString("out", ""); !path.empty()) { auto data = h->messageData(); eckit::FileHandle out(path); out.openForWrite(static_cast(data.size())); eckit::AutoCloser closer(out); ASSERT(out.write(data.data(), data.size()) == static_cast(data.size())); } if (args.getBool("valid", true)) { ASSERT(h->getLong("isMessageValid") != 0); } if (args.getBool("cmp", false)) { size_t size = 0; ASSERT(CODES_SUCCESS == codes_get_message_size(g, &size)); eckit::Log::info() << "Original message size: " << size << ", encoded message size: " << h->messageSize() << std::endl; ASSERT(size == h->messageSize()); const void* input_message = nullptr; ASSERT(CODES_SUCCESS == codes_get_message(g, &input_message, &size)); auto encoded = h->messageData(); ASSERT(encoded.size() == size); ASSERT(std::memcmp(input_message, encoded.data(), size) == 0); } if (args.getBool("keys", true)) { auto& out = eckit::Log::error(); // release() is the last use of h, so ownership transfer is safe auto* h2 = reinterpret_cast(h->release()); auto* kiter = codes_keys_iterator_new(g, CODES_KEYS_ITERATOR_SKIP_READ_ONLY, nullptr); auto diff = false; while (codes_keys_iterator_next(kiter) != 0) { const auto* key = codes_keys_iterator_get_name(kiter); auto err = codes_compare_key(g, h2, key, 0); if (err != CODES_SUCCESS && err != CODES_NOT_IMPLEMENTED /*key doesn't support comparison*/) { out << "Key differs: '" << key << "' (" << codes_get_error_message(err) << ")" << std::endl; print_key_value(g, key, out); print_key_value(h2, key, out); diff = true; } } codes_keys_iterator_delete(kiter); codes_handle_delete(h2); ASSERT(!diff); } } codes_handle_delete(g); ASSERT(std::fclose(f) == 0); } }; int main(int argc, char** argv) { return Roundtrip(argc, argv).start(); } metkit-1.22.0/tests/grib2grib/mtg2-t.grib20000664000175000017500000000373615263642712020352 0ustar alastairalastairGRIBb%22502"dd#3=Cߠ@?;T@r%*(9~?`-G?1d>&>X>o1>-Dtb=p=dW%j; 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