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This repository contains data and Jupyter notebooks to reproduce figures in Vecellio et al (2023) (https://doi.org/10.1073/pnas.2305427120).

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Vecellio2023_PNAS

This repository contains data and Jupyter notebooks to reproduce figures in Vecellio et al (2023) (https://doi.org/10.1073/pnas.2305427120).

The "Data" directory contains the following files:

  • CITIES.xlsx: population and annual hot hours of selected cities

  • Tw_tot_hothours_preindustrial_1C.nc: model ensemble mean annual total hot hours under +1C warming compared with preindustrial period

  • Tw_tot_hothours_preindustrial_1.5C.nc: model ensemble mean annual total hot hours under +1.5C warming compared with preindustrial period

  • Tw_tot_hothours_preindustrial_2C.nc: model ensemble mean annual total hot hours under +2C warming compared with preindustrial period

  • Tw_tot_hothours_preindustrial_2.5C.nc: model ensemble mean annual total hot hours under +2.5C warming compared with preindustrial period

  • Tw_tot_hothours_preindustrial_3C.nc: model ensemble mean annual total hot hours under +3C warming compared with preindustrial period

  • Tw_tot_hothours_preindustrial_3.5C.nc: model ensemble mean annual total hot hours under +3.5C warming compared with preindustrial period

  • Tw_tot_hothours_preindustrial_4C.nc: model ensemble mean annual total hot hours under +4C warming compared with preindustrial period

  • ssp2_2050.nc: population map under SSP2 scenario for year 2050

  • SSP_2050_pop_x_hothours_tot.nc: global total person-hot hours for each model under different warming targets compared with preindustrial period.

  • SSP_2050_pop_x_hothours_Tdb_lgt40.nc: global person-hot hours for each model under non-humid condition (dry bulb temperature > 40C, relative humidity<50%) for different warming targets compared with preindustrial period; the population under SSP2 scenario for year 2050 are used.

  • SSP_2050_pop_x_hothours_Tdb_lst40.nc: global person-hot hours for each model under humid condition (dry bulb temperature < 40C, relative humidity>50%) for different warming targets compared with preindustrial period.

  • SSP_2050_pop_x_hothours_tot_regions.nc: total person-hot hours over selected regions for each model under different warming targets compared with preindustrial period.

  • SSP_2050_pop_x_hothours_Tdb_lgt40_regions.nc: person-hot hours under non-humid condition (dry bulb temperature > 40C, relative humidity<50%) over selected regions for each model under different warming targets compared with preindustrial period.

  • SSP_2050_pop_x_hothours_Tdb_lst40_regions.nc: person-hot hours under humid condition (dry bulb temperature < 40C, relative humidity<50%) over selected regions for each model under different warming targets compared with preindustrial period.

  • SSP_2050_persons_under_many_hothours_tot.nc: popoulation number subject to hot hours longer than certain thresholds for each model

  • Tw_hothours35C_preindustrial.nc: model ensemble mean annual number of hours with Tw>35C under +4C warming compared with preindustrial period

  • SSP_2050_pop_x_hothours_Tw35C.nc: global person-hours with Tw>35C under different warming targets compared with preindustrial period for each model

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This repository contains data and Jupyter notebooks to reproduce figures in Vecellio et al (2023) (https://doi.org/10.1073/pnas.2305427120).

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