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python-resources

This repo git contains different functions for climate data access, post-processing and analysis.

To date there are the following modules:

  • Loader: basic files and code for data access to the Santander Climate Data Service (SCDS) THREDDS Data Server, which provides user-friendly access to a variety of remote climate data sources. This service is maintained by the Santander Meteorology Group (University of Cantabria - CSIC).
  • Interpolater: wrapping packages for regridding based ond the xESMF python package.
  • Climindx: basic code for climate index calculation and wrapping function based on icclim [IN PROGRESS].
  • Downscaler: wrapping funcions for bias adjusting based on ISIMIP3 and Ibicus [IN PROGRESS].

Requirements

Scripts and (jupyter) notebooks are provided in Python to ensure reproducibility and reusability of the results. The simplest way to match all these requirements is by using a dedicated conda environment, which can be easily installed by issuing:

conda create --name python_resources xesmf xarray netcdf4 dask numpy pandas tqdm cartopy matplotlib scipy jupyter