Gist 1df8fd0f770b319d9395
✓ Published0🌍 Public
Aandrewxhill
Last edited Jan 24, 2015
Created on Jan 24, 2015
This visualization maps monthly zonal wind data from a NetCDF file, showing how wind values vary by latitude, longitude, and time. It converts the NetCDF’s multidimensional array into a flat CSV table with columns for lat, lon, month, and value, using the `netCDF4` library’s `Dataset` and `variables` to access the `uwnd` array. The code iterates through time steps after a 731-month offset, writing each grid point with `csv.writer`, and adjusts longitudes by subtracting 180 degrees for a shifted projection. The output supports subsequent plotting or analysis of wind patterns over time.
AI-generated description