CESM routines

State-of-the-art climate model.

Folder structure

• CESM_tuto.ipynb notebook that shows how Learn2_new.py can be used to train a CNN on CESM data. It is a good starting point to understand how to use the CNN class and overwrite kwargs controlling config.json files appropriate for the CESM data compared to Plasim data.
• CESM data analysis:
  • CESM_France.ipynb and CESM_Scandinavia.ipynb are notebooks which contain the analysis of the CESM data for France and Scandinavia heatwaves. It is a good example of how to work with the data, and how to use the Plasim class. It contains statistical analysis of the temperature time series and geopotential teleconnection patterns.
  • Hayashi.py and run_Hayashi.sh scripts which are used to compute the Rossby wave spectrum and split it into standing/eastward and westward propagating Rossby waves. The plotting of the spectra occurs with the routine plotta_Hayashi.py.
  • Some bash scripts that use cdo to concatenate and rename the data.