Future Population Exposure to Daytime and Nighttime Heat Waves in South Asia

• Climate change is expected to result in more frequent and intense heat waves (HWs) in South Asia (SA). The simultaneous increases in temperature and population will exacerbate the population exposure to future HWs. Here we estimate the future population exposure to daytime and nighttime HWs in SA using the Coupled Model Intercomparison Project 6 (CMIP6) models under four Shared Socioeconomic Pathways (SSPs) during 2061-2100, relative to 1975-2014. The results show that the projected frequency and spatial extent of the daytime (nighttime) HWs will be higher under scenario SSP5-8.5, followed by SSP2-4.5, SSP3-7.0, and SSP1-2.6 (SSP5-8.5, followed by SSP3-7.0, SSP2-4.5, and SSP1-2.6), relative to the historical period. The approach presented here allows decomposing the effects of climate change and future population on the overall exposure. The results reveal that the compounding effects of projected trends in population and HWs will significantly escalate the population exposure to HWs. Under the selected SSPs, the total population exposure to daytime and nighttime HWs ranges from 185 to 492 and 204-555 million people-event, respectively, with the maximum exposure occurring in the Indo-Gigantic Plain. The wide range of exposed populations highlights the sensitivity of the overall exposure to our future socioeconomic pathway decisions, emphasizing the importance of curbing anthropogenic greenhouse gas emissions and adopting sustainable urban planning solutions to minimize the potential socioeconomic and health impacts of HWs.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap (hsv//swe)

NATURAL SCIENCES  -- Earth and Related Environmental Sciences (hsv//eng)

Nyckelord

population exposure

daytime heatwaves

nighttime heatwaves

coupled

model intercomparison project 6 (CMIP6)

shared socioeconomic pathways

(SSPs)

south Asia

earth system model

2.0 degrees-c

climate-change

temperature events

river-basin

projections

china

cmip5

variability

sensitivity

Environmental Sciences & Ecology

Geology

Meteorology & Atmospheric

Sciences

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