Data - The Financial Toll of Climate-Induced Crop Losses

This repository contains the data and scripts required to reproduce the results of the manuscript "The Financial Toll of Climate-Induced Crop Losses" submitted to the Earth's Future journal. Brief description of project This project has three main goals: Quantify the financial impact of heat- and drought-induced crop (maize, wheat, and soybeans) losses Link the economic damages from heat-induced crop losses to the CO2 emissions of high-income groups and the Carbon Majors companies Project and compare the future financial impacts under different climate change and socioeconomic developments (SSPs) Repository content /data directory: contains the data to reproduce the panel regression analyses and plot the figures presented in the manuscript /data/models: contains the fitted regression models /data/historical: contains the historical (training) data used for model fitting and the outputs from the fitted model /data/ssp: contains the SSP projection outputs from the fitted model /data/resources: contains the raw data files used in this study /scripts directory: contains the python scripts to run the panel regression model and to plot the figures presented in the manuscript /scripts/linregress/run_linregress.py: script to fit the panel regression model /scripts/analysis: contains scripts for the various sensitivity analyses sensitivity_analysis_spei.py: script to analyze the sensitivity of impact calculations to the choice of SPEI timescales sensitivity_analysis_baseline_isimip3a.py: script to analyze the sensitivity of historical heat and drought induced impact calculations to the choice of baseline period sensitivity_analysis_baseline_emitters.py: script to analyze the sensitivity of historical emitter-linked impact calculations to the choice of baseline period /scripts/plotting: contains scripts to plot all figures in the manuscript plot_fig1_hist_dy_dp_maps.py: script to plot Figure 1 (maps and time series of historical crop yield and projection change) plot_fig2_hist_de_degdp_maps.py: script to plot Figure 2 (maps and time series of historical economic impact of crop losses) plot_fig3_income_groups.py: script to plot Figure 3 (maps and time series of crop yield, production and economic impact incurred by the CO2 emissions of top and bottom income groups) plot_fig4_carbmaj.py: script to plot Figure 4 (maps and time series of crop yield, production and economic impact incurred by the CO2 emissions of the Carbon Majors) plot_fig5_ssp_dy_dp_maps.py: script to plot Figure 5 (maps and time series of SSP projections of crop yield and production losses) plot_fig6_ssp_de_degdp_maps.py: script to plot Figure 6 (maps and time series of SSP projections of the economic impact resulting from crop losses) SI_plot_figs1_crop_yield.py: script to plot Figure S1 (maps and time series of historical FAOSTAT crop yield) SI_plot_figs2_tmax_spei.py: script to plot Figure S2 (maps and time series of historical temperature and SPEI-12 climate data) SI_plot_figs3_response_curve_main.py: script to plot Figure S3 (Tmax and SPEI response curves for main regression model) SI_plot_figs4_response_curve_irr.py: script to plot Figure S4 (Tmax and SPEI response comparisons with and without irrigation) SI_plot_figs5_gridded_hist_dy.py: script to plot Figure S5 (maps of gridded [ISIMIP native 0.5° resolution] historical heat and drought induced yield losses) SI_plot_figs6_hist_dy_dp_bars.py: script to plot Figure S6 (bar charts of the historical yield and production change, broken down by crop type) SI_plot_figs7_hist_de_degdp_bars.py: script to plot Figure S7 (bar charts of the historical economic losses, broken down by crop type) SI_plot_figs8_hist_gdp_pp.py: script to plot Figure S8 (time series of historical GDP and producer prices for the three crops) SI_plot_figs9_co2_comparison.py: script to plot Figure S9 (time series comparing historical crop losses estimated by the main model and the post hoc CO2 fertilization adjustment) /scripts/utils.py: script containing various utility functions