Global emergence of regional heatwave hotspots outpaces climate model simulations

Multiple recent record-shattering weather events raise questions about the adequacy of climate models to effectively predict and prepare for unprecedented climate impacts on human life, infrastructure, and ecosystems. Here, we show that extreme heat in several regions globally is increasing significantly and faster in magnitude than what state-of-the-art climate models have predicted under present warming even after accounting for their regional summer background warming. Across all global land area, models underestimate positive trends exceeding 0.5 °C per decade in widening of the upper tail of extreme surface temperature distributions by a factor of four compared to reanalysis data and exhibit a lower fraction of significantly increasing trends overall. To a lesser degree, models also underestimate observed strong trends of contraction of the upper tails in some areas, while moderate trends are well reproduced in a global perspective. Our results highlight the need to better understand and model the drivers of extreme heat and to rapidly mitigate greenhouse gas emissions to avoid further harm from unexpected weather events.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-11-26
DOI
https://doi.org/10.1073/pnas.2411258121
Citations
45
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
12.72

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Global emergence of regional heatwave hotspots outpaces climate model simulations

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45 citations
Proceedings of the National Academy of Sciences
Climate variability and models
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article

Global emergence of regional heatwave hotspots outpaces climate model simulations

Richard Seager, Hans Joachim Schellnhuber, Mingfang Ting, Kai Kornhuber, Samuel Bartusek
article en
45 citations

Abstract

Multiple recent record-shattering weather events raise questions about the adequacy of climate models to effectively predict and prepare for unprecedented climate impacts on human life, infrastructure, and ecosystems. Here, we show that extreme heat in several regions globally is increasing significantly and faster in magnitude than what state-of-the-art climate models have predicted under present warming even after accounting for their regional summer background warming. Across all global land area, models underestimate positive trends exceeding 0.5 °C per decade in widening of the upper tail of extreme surface temperature distributions by a factor of four compared to reanalysis data and exhibit a lower fraction of significantly increasing trends overall. To a lesser degree, models also underestimate observed strong trends of contraction of the upper tails in some areas, while moderate trends are well reproduced in a global perspective. Our results highlight the need to better understand and model the drivers of extreme heat and to rapidly mitigate greenhouse gas emissions to avoid further harm from unexpected weather events.

Proceedings of the National Academy of SciencesVol. 121(49)
International Institute for Applied Systems Analysis (AT), Lamont-Doherty Earth Observatory (US), Columbia University (US)
National Science Foundation, National Aeronautics and Space Administration, Bundesministerium für Bildung und Forschung, Climate Program Office
Climate action
Openalex Percentile: Top 1%
Climate variability and models
12.72
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