Author: Jess Baker (j.c.baker@leeds.ac.uk)
The scripts in this repository were developed as part of the CSSP Brazil LAPSE project at the University of Leeds, UK, and accompany the following manuscript:
Baker, J. C. A., Castilho De Souza, D., Kubota, P. Y., Buermann, W., Coelho, C. a. S., Andrews, M. B., Gloor, M., Garcia-Carreras, L., Figueroa, S. N. & Spracklen, D. V. 2021. An Assessment of Land–Atmosphere Interactions over South America Using Satellites, Reanalysis, and Two Global Climate Models. Journal of Hydrometeorology, 22, 905-922.
If you use any of the diagnostic scripts in your research please cite the reference above and any diagnostic-specific references within. If you have any questions, comments or feedback please email Jess Baker (email address at the top of this file).
Diagnostic scripts:
- terrestrial_coupling_index.py
- zengs_gamma.py
- T_ET_metric.py
- betts_approach.py
- two_legged_metric.py
Script providing examples of applying each diagnostic:
- examples_of_application.py
These scripts are largely based on the Iris Python package (https://scitools.org.uk/iris/docs/latest/) and are designed to be run with observations and model output in NetCDF format.