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* '''[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 ==
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*'''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
*'''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]
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