This script automatizes the handling of Coordinated Regional Climate Downscaling Experiment (CORDEX) temperature data from Copernicus CDS: downloading zips, extracting netcdf, unit conversion (from Kelvin to Celsius), reprojecting, and storing in ESRI-compatible multidimensional Cloud Raster Format (CRF) or as Cloud-Optimized GeoTIFF (COG). The resulting CRF file is ready for animated visualisation of seasonal data and hosting in ArcGIS online.
CORDEX_tas.py
: Main fileutils.py
: Functions for data processingutils_arcpy.py
: Functions for data processing involved arcpy module
- CDS Toolbox documentation - Retrieving data
- Choosing CRS / PROJ4 string for EURO-Cordex rotated pole projection?
- CORDEX documentation
- CORDEX regional climate model data on single levels in the Copernicus Climate Data Store
- GDAL gdalwarp documentation
- PROJ 9.3.1 documentation — General Oblique Transformation
- Working with Multidimensional Scientific Data Using Python