co-occurring_climate_extremes_in_east_africa

Here we analyse the changes in the frequency, spatial distribution and dependence of co-occurring extreme events in East Africa under different climate change scenarios.

Python Scripts

This repository includes two python scripts used in this anaylsis, namely:

1. funcs.py

This python script enntails all the functions used in this analysis. Users should first run this script, before running the main.py.

2. main.py

This python script entails all the methods used to analyse the dataset using the functions within funcs.py. Users shoud ensure that the main.py, funcs.py and the datasets are all within the same directory before running this script.

Python Environment

To ensure reproducibility of our analysis, the env_concurrent_extremes_in_east_africa.yml provides a clone of our python environment, with all of its packages and versions. Users should use their terminal or an Anaconda Prompt to create their environment using this env_concurrent_extremes_in_east_africa.yml.

Grid cell area

Entire_globe_grid_cell_area.nc is used in this analysis for the grid cell areas.

Authors

Derrick Muheki

Axel A.J.Deijns

Emanuele Bevacqua

Gabriele Messori

Jakob Zscheischler

Wim Thiery