Evidence map›Paper›PMID 41107241›Full record

ArticleNature communications2025

Towards annual updating of forced warming to date and constrained climate projections.

A Ribes, O Tessiot, P M Forster, N P Gillett, V Masson-Delmotte, J Rogelj, R Vautard, T Walsh

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

8 authors.

A Ribes *Météo France, CNRS, Univ. Toulouse, CNRM, Toulouse, France. aurelien.ribes@meteo.fr.ORCID http://orcid.org/0000-0001-5102-7885
O Tessiot *Météo France, CNRS, Univ. Toulouse, CNRM, Toulouse, France.ORCID http://orcid.org/0009-0008-7722-2716
P M ForsterPriestley Centre for Climate Futures, University of Leeds, Leeds, UK.ORCID http://orcid.org/0000-0002-6078-0171
N P GillettCCCma, Environment and Climate Change Canada, Victoria, BC, Canada.ORCID http://orcid.org/0000-0002-2957-0002
V Masson-DelmotteLSCE (UMR 8212 CEA-CNRS-UVSQ), Institut Pierre Simon Laplace, Université Paris Saclay, Gif-sur-Yvette, France.ORCID http://orcid.org/0000-0001-8296-381X
J RogeljCentre for Environmental Policy and Grantham Institute - Climate Change and Environment, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-2056-9061
R VautardInstitut Pierre-Simon Laplace, CNRS, Université Paris-Saclay, Sorbonne Université, Paris, France.
T WalshEnvironmental Change Institute, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-5227-9432

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of rapid human-caused climate change, regular updates of the state of knowledge of current and future climate are needed. New statistical methods using observational constraints underpinned estimates of present-day human-induced warming and projected future warming in the most recent IPCC report. As time goes by, and new updated observational records become available, how should estimates of the current and projected human-caused climate change be updated? Here, we use a perfect model framework and show that incorporating observations from every new year in observationally constrained projections improves their accuracy, without causing major year-to-year spurious variability on outcomes. The forced warming estimated for the current year also exhibits high enough stability to be considered as a robust indicator of the state of the climate system.

Identifiers

PMID41107241
PMCPMC12534604

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.