Climate Change and Disparities in Extreme Heat Exposure for Socially Vulnerable Areas in the Contiguous United States

Datasets and code to create figures and conduct statistical analysis for paper in final revisions/published at Earth's Future (Paper #2025EF006463). .csv spreadsheet shows CMIP6 models (only those downscaled as part of STAR-ESDM used in the NCA5) assessed in the manuscript and the years when each of the historical + ssp585 scenarios global-mean 2-m air temperature anomalies reach various Global Warming Levels-- further methods outlined in Methods section of the manuscript. conus_heat_data.zip contains zipped netcdf (nc) files used to create figures and conduct statistical analysis. Zipped files can be unzipped (total directory size when unzipped is ~116Gb). Link to Github where ipynb files contain Python code to create figures and run analysis of data: Figure_1 creates maps shown in Figure 1 Figure_2 creates violion plots shown in Figure 2 Figure_3_4_5 has two versions (35C and 39C)- the 35C version creates the subplot/figure panels for the 35C threshold, and the 39C version creates the subplot/figure panels for the 39C threshold. environment_conus_heat.yml file contains modules needed to create a conda environment to run the Python code.