Evidence map›Paper›PMID 40931153›Full record

ArticleNature2025

Systematic attribution of heatwaves to the emissions of carbon majors.

Yann Quilcaille, Lukas Gudmundsson, Dominik L Schumacher, Thomas Gasser, Richard Heede, Corina Heri, Quentin Lejeune, Shruti Nath, Philippe Naveau, Wim Thiery and 2 more

Abstract readHistorical Article
In one paragraph

Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

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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

12 authors.

Yann QuilcailleInstitute for Atmospheric and Climate Science, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland. yann.quilcaille@env.ethz.ch.ORCID 0000-0002-1474-0144
Lukas GudmundssonInstitute for Atmospheric and Climate Science, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-3539-8621
Dominik L SchumacherInstitute for Atmospheric and Climate Science, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-2699-2880
Thomas GasserInternational Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.ORCID 0000-0003-4882-2647
Richard HeedeClimate Accountability Institute, Snowmass, CO, USA.
Corina HeriDepartment of Public Law and Governance, Tilburg University, Tilburg, The Netherlands.
Quentin LejeuneClimate Analytics, Berlin, Germany.
Shruti NathAtmospheric, Oceanic and Planetary Physics, Department of Physics, University of Oxford, Oxford, UK.
Philippe NaveauLaboratoire des Sciences du Climat et de l'Environnement, ESTIMR, CNRS-CEA-UVSQ, Gif-sur-Yvette, France.
Wim ThieryVrije Universiteit Brussel, Department of Water and Climate, Brussels, Belgium.ORCID 0000-0002-5183-6145
Carl-Friedrich SchleussnerInternational Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria.ORCID 0000-0001-8471-848X
Sonia I SeneviratneInstitute for Atmospheric and Climate Science, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.ORCID 0000-0001-9528-2917

Funding

European Research Council consolidatorHorizon 2020 and Horizon Europe research and innovation programmes of the European UnionRockefeller Brothers Fund
6 · The paper itself

Abstract

Extreme event attribution assesses how climate change affected climate extremes, but typically focuses on single events

Indexed as

CarbonClimate ChangeExtreme HeatGlobal WarmingConstruction MaterialsFossil FuelsHistory, 19th CenturyHistory, 20th CenturyHistory, 21st CenturyCarbonFossil Fuels

Identifiers

PMID40931153
PMCPMC12422948

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.