Climate Modeling and Analysis: Difference between revisions
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The largest climate prediction datasets are ensembles of many climate simulations. These include simulations with varied physics, architectures, or initial conditions, and they are used to explore the range of possible climate futures. The largest ensembles include:
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▲** CMIP is associated with the Earth System Grid Federation, which also provides data analysis tools and tutorials: https://esgf.llnl.gov/
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*'''EARTHDATA''': NASA's gateway to earth science data. Data are available at multiple levels of processing. Available [https://earthdata.nasa.gov/ here].
▲** Read about it in [https://journals.ametsoc.org/doi/full/10.1175/BAMS-D-13-00255.1 The Community Earth System Model (CESM) Large Ensemble Project]
▲** Petabyte-scale weather and climate datasets from sources like NOAA’s [https://www.ncdc.noaa.gov/data-access/radar-data/nexrad NEXRAD] and NASA/USGS’s [https://landsat.gsfc.nasa.gov/ Landsat], made available for free as part of Google Cloud’s Public Datasets Program.
''N.B.'' Climate model data is typically presented in [https://climatedataguide.ucar.edu/climate-data-tools-and-analysis/netcdf-overview netcdf4] format. These may be smoothly converted to csv files or [https://stackoverflow.com/questions/14035148/import-netcdf-file-to-pandas-dataframe pandas dataframes], but be aware that the data lies on irregular 3D spherical grids.
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