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Climate Modeling and Analysis: Difference between revisions

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* 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. [http://xarray.pydata.org/en/stable/weather-climate.html Xarray]is a commonly used Python package for post-processing of climate data.
* '''Climate Data Operators''' [https://code.mpimet.mpg.de/projects/cdo/ CDO] and [http://research.jisao.washington.edu/data/nco/ NCO] are command-line tools that can be used in manipulating netcdf files and calculating climatologies.
* '''AI2 Climate Modeling''': The [https://github.com/ai2cm ai2cm] climate modelling toolbox provides different Python wrappers to work with climate and weather models provided by the [https://allenai.org/climate-modeling Allen Institute for AI].
 
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