Spatial Patterns of Historical Changes in Human Heat Stress Disagree Across Metrics

Abstract A robust estimation of how heat stress is changing worldwide is complicated by the variety of heat stress metrics in use. This study compares heat stress changes between 1979–2000 and 2001–2023 across five commonly used metrics calculated with ERA5 reanalysis data. We identify regions where all metrics indicate significant increases in heat stress, highlighting a high‐certainty need for urgent adaptation efforts. Conversely, we also find regions where metrics disagree, even on the direction of change. The substantial inter‐metric spread in population heat exposure is comparable to the spread across five reanalysis products and 17 CMIP6 climate models. We attribute these inter‐metric discrepancies to differing temperature‐humidity relative weight across metrics. Our findings highlight metric choice as a significant source of uncertainty in heat stress projections and emphasize the need for a better understanding of the suitability of different metrics for specific climate regimes and impacts.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-10-23
DOI
https://doi.org/10.1029/2025gl117966
Citations
1
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
1.20

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article

Spatial Patterns of Historical Changes in Human Heat Stress Disagree Across Metrics

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1 citations
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article

Spatial Patterns of Historical Changes in Human Heat Stress Disagree Across Metrics

Qinqin Kong, Andrew Zimmer, Colin Raymond, Matthew S. Huber, Zachary Wagner, Sam Heft‐Neal, Renzhi Jing, Eran Bendavid, Zetianyu Wang, Cascade Tuholske
article en
1 citations

Abstract

Abstract A robust estimation of how heat stress is changing worldwide is complicated by the variety of heat stress metrics in use. This study compares heat stress changes between 1979–2000 and 2001–2023 across five commonly used metrics calculated with ERA5 reanalysis data. We identify regions where all metrics indicate significant increases in heat stress, highlighting a high‐certainty need for urgent adaptation efforts. Conversely, we also find regions where metrics disagree, even on the direction of change. The substantial inter‐metric spread in population heat exposure is comparable to the spread across five reanalysis products and 17 CMIP6 climate models. We attribute these inter‐metric discrepancies to differing temperature‐humidity relative weight across metrics. Our findings highlight metric choice as a significant source of uncertainty in heat stress projections and emphasize the need for a better understanding of the suitability of different metrics for specific climate regimes and impacts.

Geophysical Research LettersVol. 52(20)
University of Southern California (US), RAND Corporation (US), Purdue University West Lafayette (US), Montana State University (US), Stanford Health Care (US), Palo Alto Institute (US), Center for Innovation (US), Stanford University (US)
National Institutes of Health
Openalex Percentile: Top 17%
Climate Change and Health Impacts
1.20
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