Search Earth Analytics Course lessons The search below, will ONLY return lessons associated with the Earth Analytics course taught in the R programming language. Share on Twitter Facebook Google+ LinkedIn
Calculate Seasonal Summary Values from Climate Data Variables Stored in NetCDF 4 Format: Work With MACA v2 Climate Data in Python 26 minute readLearn how to calculate seasonal summary values for MACA 2 climate data using xarray and region mask in open source Python.
Calculate Summary Values Using Spatial Areas of Interest (AOIs) including Shapefiles for Climate Data Variables Stored in NetCDF 4 Format: Work With MACA v2 Climate Data in Python 32 minute readClimate datasets stored in netcdf 4 format often cover the entire globe or an entire country. Learn how to subset climate data spatially and by time slices u...
How to Open and Process NetCDF 4 Data Format in Open Source Python 26 minute readHistoric and projected climate data are most often stored in netcdf 4 format. Learn how to open and process MACA version 2 climate data for the Continental U...
