README Dataset and code for "Future intensification of compound heatwaves in Africa and associated socio-economic exposure across global warming levels" This repository provides pre-computed Compound Heatwave (CHW) metrics and processed variables derived from CMIP6 model simulations and ERA5 reanalysis data. Data Original CMIP6 and ERA5 files are not included due to size limitations. All processed data and scripts required to reproduce the analysis are provided. Original datasets can be regridded using CDO and shell scripts. Scripts compound_heatwave.py: Computes CHW metrics (can be automated with cal_heatwave.sh). extract_hottest_3month.py: Extracts data for the hottest consecutive 3-month period. compute_divergence.py: Compute divergence using u-wind and v-wind. Jupyter Notebooks The notebooks contain both analysis workflows and figure generation code. Each notebook corresponds to specific figures in the paper. Hottest_month.ipynb → Fig. 1 KDE.ipynb → Fig. S1 Validation.ipynb → Fig. 2, S12 CHW_analysis.ipynb → Fig. 3, 4b, 6, S2, S3, S4b–d, S5e–g, S9 Relative_ratio.ipynb → Fig. 4a, S4a–c, S5a–c Probability_ratio.ipynb → Fig. 5, S6 Surf_energy_budget.ipynb → Fig. 7, S10, S11 Exposure.ipynb → Fig. 8, S21–S28 Projected_change_mech.ipynb → Fig. S7, S8, S13–S20