Evidence map›Paper›PMID 42113990›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

2024 global temperature record is consistent with model-predicted warming.

Michael E Mann, Byron A Steinman, Alejandro Fernandez, Shannon A Christiansen, Xueke Li

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. 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. 2024 global temperature record is consistent with model-predicted warming.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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.

Michael E MannDepartment of Earth and Environmental Science, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0003-3067-296X
Byron A SteinmanDepartment of Earth and Environmental Sciences and Large Lakes Observatory, University of Minnesota Duluth, Duluth, MN 55812.
Alejandro FernandezDepartment of Earth and Environmental Sciences, University of Minnesota, Minneapolis MN 55405.ORCID 0000-0002-0343-0634
Shannon A ChristiansenGulf Coast Repository, Texas A&M University, College Station, TX 77845.
Xueke LiDepartment of Earth and Environmental Science, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0001-6755-9229

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We employ a semiempirical approach combining climate model simulations and observational temperatures to assess the likelihood of recent global temperature records. Monte Carlo simulations are used to generate global temperature series consistent with combined estimates of forced (anthropogenic + natural) and internal variability derived from observations and CMIP6 multimodel simulations. We find that the El Niño-boosted 2024 global temperature record had a ~12% likelihood of occurrence (a one-in-eight-year event), similar to the prior (also El Niño-boosted) record year 2016 (~14% likelihood). Of the records set during the past three decades, only 1998 is found to have been truly anomalous, with a ~2.5% likelihood of occurrence. Each of these records is found to have been nearly impossible in the absence of human-caused warming.

Indexed as

climate changeclimate extremestemperature records

Identifiers

PMID42113990
PMCPMC13187772

What OpenQuestion holds

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LicenceCC BY
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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.