This page demonstrates how you can read in and work with output from the Weather Research and Forecasting (WRF) model
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This work is a continuation of my 2013 and 2016 papers as described here
This notebook was jointly written by Scott Hosking and Tony Phillips (BAS)
A set of Python tools to make it easier to extract weather station data (e.g., temperature, precipitation) from the Global Historical Climatology Network - D...
Extract countries of interest (along with their coordinates) from the Global Historical Climatology Network - Monthly (GHCNM) Version 3
For this notebook to work you will need to install: BASpy (for getting data) Xarray (for processing data) Cartopy (for plotting maps)
using a low-pass filter