Package: climetlab-wekeo-ecmwf
climetlab_wekeo_ecmwfA dataset plugin for climetlab for the ECMWF datasets available on WEkEO.NoteThis plugin is currently in beta stage and not yet available on Pypi nor Conda.
Please follow the installation instruction as "pip install" or "conda install" won't work.InstallationTo install the plugin, clone the GitHub repository on the target machine.
Once done, activate the Python virtual environment or the Conda environment, depending on the tool you have chosen, and then run:cd climentlab-wekeo-ecmwf
pip install .FeaturesThis plugin provides a simple access to ECMWF datasets provided by WEkEO.Each dataset presents a number of variables to narrow down the data to download.Those variables and the range of accepted values can be inspected directly in the code.While it is not mandatory, the usage of Dask is recommended.For usage examples, please refer to thedemo notebookDatasets descriptionThere are several datasets:wekeo-ecmwf-cams-europe-air-quality-forecastswekeo-ecmwf-cams-europe-air-quality-reanalyseswekeo-ecmwf-cams-global-atmospheric-composition-forecastswekeo-ecmwf-cams-global-fire-emissions-gfaswekeo-ecmwf-cams-global-ghg-reanalysis-egg4-monthlywekeo-ecmwf-cams-global-greenhouse-gas-inversionwekeo-ecmwf-cams-global-reanalysis-eac4-monthlywekeo-ecmwf-cams-global-reanalysis-eac4wekeo-ecmwf-cams-solar-radiation-timeserieswekeo-ecmwf-cems-fire-historicalwekeo-ecmwf-cems-glofas-forecastwekeo-ecmwf-cems-glofas-historicalwekeo-ecmwf-cems-glofas-reforecastwekeo-ecmwf-cems-glofas-seasonal-reforecastwekeo-ecmwf-cems-glofas-seasonalwekeo-ecmwf-efas-forecastwekeo-ecmwf-efas-historicalwekeo-ecmwf-efas-reforecastwekeo-ecmwf-efas-seasonal-reforecastwekeo-ecmwf-efas-seasonalwekeo-ecmwf-insitu-glaciers-elevation-masswekeo-ecmwf-insitu-glaciers-extentwekeo-ecmwf-insitu-gridded-observations-nordicwekeo-ecmwf-reanalysis-era5-land-monthly-meanswekeo-ecmwf-reanalysis-era5-landwekeo-ecmwf-reanalysis-era5-pressure-levels-monthly-means-preliminary-back-extensionwekeo-ecmwf-reanalysis-era5-pressure-levels-monthly-meanswekeo-ecmwf-reanalysis-era5-pressure-levels-preliminary-back-extensionwekeo-ecmwf-reanalysis-era5-pressure-levelswekeo-ecmwf-reanalysis-era5-single-levels-monthly-means-preliminary-back-extensionwekeo-ecmwf-reanalysis-era5-single-levels-monthly-meanswekeo-ecmwf-reanalysis-era5-single-levels-preliminary-back-extensionwekeo-ecmwf-reanalysis-era5-single-levelswekeo-ecmwf-reanalysis-uerra-europe-height-levelswekeo-ecmwf-reanalysis-uerra-europe-pressure-levelswekeo-ecmwf-reanalysis-uerra-europe-single-levelswekeo-ecmwf-reanalysis-uerra-europe-soil-levelswekeo-ecmwf-satellite-carbon-dioxidewekeo-ecmwf-satellite-earth-radiation-budgetwekeo-ecmwf-satellite-methanewekeo-ecmwf-satellite-precipitation-microwavewekeo-ecmwf-satellite-sea-ice-edge-typewekeo-ecmwf-satellite-sea-level-black-seawekeo-ecmwf-satellite-sea-level-globalwekeo-ecmwf-satellite-sea-level-mediterraneanwekeo-ecmwf-satellite-soil-moisturewekeo-ecmwf-satellite-surface-radiation-budgetwekeo-ecmwf-satellite-total-column-water-vapour-land-oceanwekeo-ecmwf-satellite-total-column-water-vapour-oceanwekeo-ecmwf-satellite-upper-troposphere-humiditywekeo-ecmwf-seasonal-monthly-pressure-levelswekeo-ecmwf-seasonal-monthly-single-levelswekeo-ecmwf-seasonal-original-pressure-levelswekeo-ecmwf-seasonal-original-single-levelswekeo-ecmwf-seasonal-postprocessed-pressure-levelswekeo-ecmwf-seasonal-postprocessed-single-levelswekeo-ecmwf-sis-agrometeorological-indicatorswekeo-ecmwf-sis-biodiversity-cmip5-globalwekeo-ecmwf-sis-biodiversity-cmip5-regionalwekeo-ecmwf-sis-biodiversity-era5-globalwekeo-ecmwf-sis-biodiversity-era5-regionalwekeo-ecmwf-sis-ecv-cmip5-bias-correctedwekeo-ecmwf-sis-european-risk-extreme-precipitation-indicatorswekeo-ecmwf-sis-european-risk-flood-indicatorswekeo-ecmwf-sis-european-wind-storm-indicatorswekeo-ecmwf-sis-european-wind-storm-synthetic-eventswekeo-ecmwf-sis-health-vectorwekeo-ecmwf-sis-heat-and-cold-spellswekeo-ecmwf-sis-hydrology-meteorology-derived-projectionswekeo-ecmwf-sis-hydrology-variables-derived-projectionswekeo-ecmwf-sis-hydrology-variables-derived-seasonal-forecastwekeo-ecmwf-sis-hydrology-variables-derived-seasonal-reforecastwekeo-ecmwf-sis-marine-propertieswekeo-ecmwf-sis-shipping-arcticwekeo-ecmwf-sis-shipping-consumption-on-routeswekeo-ecmwf-sis-temperature-statisticswekeo-ecmwf-sis-urban-climate-citieswekeo-ecmwf-sis-water-hydrological-changeThe descriptions can be retrieved directly fromWEkEOUsing climetlab to access the dataSee thedemo notebooksdemo_main.ipynbThe climetlab python package allows easy access to the data with a few lines of code such as:!pipinstallclimetlabclimetlab-wekeo-ecmwfimportclimetlabascmlds=cml.load_dataset("wekeo-ecmwf-sis-water-hydrological-change",variable=["air_temperature","volumetric_soil_moisture","precipitation"],time_aggregation=["autumn","spring"],format_="zip",gcm_model="esm_chem",statistic="change_in_the_annual_mean",experiment="rcp_8_5",hydrological_model="pcr_globwb",)ds.to_xarray()LICENSE-------SeetheLICENSEfile.(C)Copyright2023EuropeanCentreforMedium-RangeWeatherForecasts.ThissoftwareislicensedunderthetermsoftheApacheLicenceVersion2.0whichcanbeobtainedathttp://www.apache.org/licenses/LICENSE-2.0.Inapplyingthislicence,ECMWFdoesnotwaivetheprivilegesandimmunitiesgrantedtoitbyvirtueofitsstatusasanintergovernmentalorganisationnordoesitsubmittoanyjurisdiction.Authors-------GermanoGuerriniandal.SeealsotheCONTRIBUTORS.mdfile.