Sharing data and code supporting the article entitled "Thermodynamically enhanced precipitation extremes due to counterbalancing influences of anthropogenic greenhouse gases and aerosols"

The public data repository contains the data and plotting code supporting the article entitled "Thermodynamically enhanced precipitation extremes due to counterbalancing influences of anthropogenic greenhouse gases and aerosols". The dataset includes annual maximum one-day precipitation (Rx1day), its proxy computed by a physical scaling diagnostic (scaling), and the decomposed components of the scaling (i.e., thermodynamic response, dynamic response, and their interaction). Several reanalyses (including ERA5 and JRA55) and CMIP6 simulations under several scenarios (including ALL, GHG, AER, and piControl) are applied to compute the historical Rx1day, scaling, and the associated components following a GitHub Python repository (https://github.com/oliverangelil/precip_extremes_scaling). Note that the decomposed components are calculated as anomalies. 

The data results of the extreme precipitation decomposition in the NetCDF format are available in zip files “ERA5”, "JRA55", "ALL", "GHG", "AER", "NAT", and "piControl". Code for visualizations is available in the "Jupyter Notebooks" zip file.