Dataset and code for "Increasing population and cropland exposure to human-induced Sequential Heatwave-Downpour Events"

Dataset and code for “Increasing population and cropland exposure to human-induced Sequential Heatwave–Downpour Events” OverviewThis dataset contains all scripts and data files used in the study “Increasing population and cropland exposure to human-induced Sequential Heatwave–Downpour Events.”It includes Python and R scripts for event identification, statistical analysis, and figure generation, as well as supporting data for CMIP6 experiments, reanalysis datasets, and exposure calculations for population and cropland. File descriptions calc_compound_event_occurrence_on_grid_points.py: Calculates the frequency of Sequential Heatwave–Downpour (SHD) events at each grid point for each summer.calc_events_random_ECA.py: Tests whether SHD events occur randomly using the Event Coincidence Analysis (ECA) method.calc_index.py: Identifies whether each grid cell and day meets heatwave or heavy-precipitation criteria.cropland_breakdown.ipynb: Decomposes cropland SHD exposure changes into contributing factors.cropland_exposure.ipynb: Calculates cropland exposure to SHD events.cropland_resample.ipynb: Resamples cropland datasets to a consistent spatial resolution.future_population_exposure.ipynb: Calculates population exposure to SHD events under future scenarios.index_for_CMIP_1961_2020.py: Identifies heatwave/precipitation days for CMIP6 simulations (1961–2020).index_for_piControl.py: Identifies heatwave/precipitation days for CMIP6 piControl experiments.index_for_ssp.py: Identifies heatwave/precipitation days for CMIP6 SSP experiments.mask_continents_calc_area.ipynb: Divides data into three continental regions and calculates exposure area.population_breakdown.ipynb: Decomposes changes in population SHD exposure.population_resample.ipynb: Resamples population data to consistent grids.reanalysis_concat.py: Concatenates and interpolates reanalysis datasets.reanalysis_land_sea_mask.py: Applies land–sea mask to reanalysis data.optimal_fingerprinting_method.R: Performs optimal fingerprinting analysis on the increasing area of SHD events. Data Zips more_experiments: Results of sensitivity experiments with modified SHD detection thresholds.CMIP6-output-7-new-30-year-for-ssp-3day: Analysis outputs for CMIP6-SSP experiments.CMIP6-output-7-new-30year-for-picontrol-3day: Analysis outputs for CMIP6-piControl experiments.CMIP6-output-7-new-30year-3day: Analysis outputs for CMIP6 historical experiments.obs: Analysis results based on reanalysis datasets.more_obs_1985-2014_event_count-3day: Consistency check results of SHD event detection among multiple reanalysis datasets during 1985–2014.output0609.txt: Results of the optimal fingerprinting analysis