Reading and plotting WRF data using wrf-python and Xarray
This page demonstrates how you can read in and work with output from the Weather Research and Forecasting (WRF) model
This page demonstrates how you can read in and work with output from the Weather Research and Forecasting (WRF) model
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
This page demonstrates how you can read in and work with output from the Weather Research and Forecasting (WRF) model
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)
For this notebook to work you will need to install: BASpy (for getting data) Xarray (for processing data) Cartopy (for plotting maps)
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
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
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
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
This page demonstrates how you can read in and work with output from the Weather Research and Forecasting (WRF) model
This notebook was jointly written by Scott Hosking and Tony Phillips (BAS)
using a low-pass filter
using a low-pass filter
For this notebook to work you will need to install: BASpy (for getting data) Xarray (for processing data) Cartopy (for plotting maps)
For this notebook to work you will need to install: BASpy (for getting data) Xarray (for processing data) Cartopy (for plotting maps)
For this notebook to work you will need to install: BASpy (for getting data) Xarray (for processing data) Cartopy (for plotting maps)
This notebook was jointly written by Scott Hosking and Tony Phillips (BAS)
This notebook was jointly written by Scott Hosking and Tony Phillips (BAS)
This notebook was jointly written by Scott Hosking and Tony Phillips (BAS)
This notebook was jointly written by Scott Hosking and Tony Phillips (BAS)
This work is a continuation of my 2013 and 2016 papers as described here
This work is a continuation of my 2013 and 2016 papers as described here
This page demonstrates how you can read in and work with output from the Weather Research and Forecasting (WRF) model