Data and code used for the paper "Air Quality, Health and Economic Benefits of Transitioning Global Shipping Energy to Hydrogen"

This dataset includes CESM-simulated ground-level PM2.5 and surface MDA8 ozone concentration in the baseline and all transition scenarios, the source data underlying figures, and codes used to process data and generate the figures in this study. · Global population above 25 years old at a 0.25° x 0.25° grid: total_population_0.25deg.nc · CESM-simulated ground-level O3 concentration: Baseline: ann_mean_mda8_base.nc All_transition scenario: ann_mean_mda8_all.nc Half_transition scenario: ann_mean_mda8_half.nc When considering a high hydrogen leakage rate of 10%: Baseline: ann_mean_mda8_h2leak_base.nc All_transition_with_H2_leakage: ann_mean_mda8_h2leak_all.nc Half_transition_with_H2_leakage: ann_mean_mda8_h2leak_half.nc · CESM-simulated ground-level PM2.5 concentration after bias correction: Baseline: corrected_pm25_final.nc All_transition: corrected_pm25_final.nc Half_transition: corrected_pm25_final.nc · Source data for Figure 1 in the manuscript source_data_fig1a.csv source_data_fig1b.csv source_data_fig1d.csv CAMS_SO2_emission_monthly_All.nc & CAMS_SO2_emission_monthly_base.nc (for fig. 1c) · Python scripts for replicating and ploting the analysis results in the manuscript: python_scripts.zip