Evidence map›Paper›PMID 39589877›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Global emergence of regional heatwave hotspots outpaces climate model simulations.

Kai Kornhuber, Samuel Bartusek, Richard Seager, Hans Joachim Schellnhuber, Mingfang Ting

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kai KornhuberInternational Institute for Applied Systems Analysis, Laxenburg 2361, Austria.ORCID 0000-0001-5466-2059
Samuel BartusekLamont-Doherty Earth Observatory, Columbia University, New York, NY 10964.
Richard SeagerLamont-Doherty Earth Observatory, Columbia University, New York, NY 10964.ORCID 0000-0003-4772-9707
Hans Joachim SchellnhuberInternational Institute for Applied Systems Analysis, Laxenburg 2361, Austria.ORCID 0000-0001-7453-4935
Mingfang TingLamont-Doherty Earth Observatory, Columbia University, New York, NY 10964.ORCID 0000-0002-4302-4614

Funding

Bundesministerium für Bildung und Forschung (BMBF) 01LP2322DDOC | NOAA | Climate Program Office (CPO) NA20OAR4310379NASA (NASA) 21-EARTH21-0134NSF (NSF) AGS-2127684
6 · The paper itself

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.

Indexed as

climate changeextreme weatherheatwaves

Identifiers

PMID39589877
PMCPMC11626130

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.