Climate Modeling and Analysis: Difference between revisions

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MarcusV

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Line 83: * '''[https://cds.climate.copernicus.eu/#!/home Copernicus Climate Data Store]''': The EU Copernicus project provides an [https://cds.climate.copernicus.eu/api-how-to API] and [https://cds.climate.copernicus.eu/cdsapp#!/toolbox Toolbox] to with different free data like raw satellite sensor data. * '''Meteostat Python Package''': A [https://github.com/meteostat/meteostat-python Python Package] that allows to better access and analyze historical weather and climate data. * '''XCast''': A Python-based [https://www.frontiersin.org/articles/10.3389/fclim.2022.953262/full climate forecasting toolkit]. == Data == Line 92 ⟶ 93: '''The Coupled Model Intercomparison Project (CMIP)''': A gateway to climate models in use and development, available [https://esgf-node.llnl.gov/projects/cmip5/ here]. CMIP is associated with the Earth System Grid Federation, which also provides data analysis tools and tutorials: https://esgf.llnl.gov/. '''[https://www.cesm.ucar.edu/projects/community-projects/MMLEA/ Large ~~ensemle~~ensemble simulations]''' for different climate models, also referred to as Single Model Initial Condition Ensemble [https://www.cesm.ucar.edu/events/tutorials/2019/files/Applications2-lehner.pdf SMILEs], including [http://www.cesm.ucar.edu/experiments/cesm1.1/LE/ The Community Earth System Model (CESM) Large Ensemble Project] '''Climate and weather datasets for ML research''' are listed [http://mldata.pangeo.io/ here]. The Earth and climate science community is also working to create [https://is-geo.org/benchmarks/ benchmark datasets]