Evidence map›Paper›PMID 41760609›Full record

ArticleNature communications2026

Climate models exaggerate greenhouse gas impact on recent interhemispheric temperature patterns and tropical climate.

Chengfei He, Amy C Clement, Mark A Cane, Alex Gonzalez, Young-Oh Kwon, Jia-Rui Shi, Jeremy M Klavans, Lisa N Murphy

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chengfei HeDepartment of Marine and Environmental Sciences, Marine Science Center, Northeastern University, Nahant, MA, USA. ch.he@northeastern.edu.ORCID http://orcid.org/0000-0003-1453-9691
Amy C ClementRosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Miami, FL, USA.ORCID http://orcid.org/0000-0002-0105-0961
Mark A CaneLamont-Doherty Earth Observatory of Columbia University, Palisades, NY, USA.ORCID http://orcid.org/0000-0001-5408-2388
Alex GonzalezWoods Hole Oceanographic Institution, Woods Hole, MA, USA.
Young-Oh KwonWoods Hole Oceanographic Institution, Woods Hole, MA, USA.ORCID http://orcid.org/0000-0002-1241-2817
Jia-Rui ShiCourant Institute, New York University, New York, NY, USA.
Jeremy M KlavansRosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Miami, FL, USA.ORCID http://orcid.org/0000-0002-6156-8981
Lisa N MurphyRosenstiel School of Marine, Atmospheric, and Earth Science, University of Miami, Miami, FL, USA.ORCID http://orcid.org/0000-0003-4343-8005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interhemispheric thermal contrast, defined as the mean sea surface temperature difference between the northern and southern hemispheres, crucially influences tropical climate. Climate models show a positive interhemispheric thermal contrast trend since 1950, with more warming in the northern hemisphere compared to the southern hemisphere, contradicting the observed negative trend. Here we show this discrepancy stems from models overestimating greenhouse gas responses via wind-evaporation-sea surface temperature feedback, while anthropogenic and natural aerosols combine to produce the negative trend in observations. Consequently, models with high equilibrium climate sensitivity exhibit larger discrepancies with observations. Despite model failure to reproduce the trend, the modeled multidecadal interhemispheric thermal contrast variability aligns with observations, enabling a constrained estimate of effective radiative forcing due to aerosol-cloud interactions of

Identifiers

PMID41760609
PMCPMC13066490

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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.