rfmtools

Created/Mantained By: Andrew Williams ([email protected]) Other Contributors: ()

Features

• Easily generate idealized atmospheric profiles of H2O, CO2 and temperature, in an RFM-friendly format.
• Run the RFM from within a jupyter notebook!
• Directly parses output files into xr.DataArrays!

Installation

An environment.yml file is provided from which you can generate an rfm environment with the command conda env create --file environment.yml.

To add this environment to you jupyter lab instance, you must first activate this environment and then run ipython kernel install --user --name=rfm.

RFM

To install the RFM, follow the instructions here: http://eodg.atm.ox.ac.uk/RFM/

This code has only been tested for v5.10_23MAY20 of the RFM.