Evidence map›Paper›PMID 41712637›Full record

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

Km-scale coupled simulation and model-observation SST trend discrepancy.

Sarah M Kang, Dian A Putrasahan, Noel G Brizuela, Helmuth Haak, Jürgen Kröger, Jochem Marotzke, Bjorn Stevens, Jin-Song von Storch

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. Km-scale coupled simulation and model-observation SST trend discrepancy.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

8 authors.

Sarah M KangMax Planck Institute for Meteorology, Hamburg, Germany.ORCID 0000-0003-4635-275X
Dian A PutrasahanMax Planck Institute for Meteorology, Hamburg, Germany.
Noel G BrizuelaMax Planck Institute for Meteorology, Hamburg, Germany.
Helmuth HaakMax Planck Institute for Meteorology, Hamburg, Germany.ORCID 0000-0002-9883-5086
Jürgen KrögerMax Planck Institute for Meteorology, Hamburg, Germany.ORCID 0000-0002-6815-4220
Jochem MarotzkeMax Planck Institute for Meteorology, Hamburg, Germany.ORCID 0000-0001-9857-9900
Bjorn StevensMax Planck Institute for Meteorology, Hamburg, Germany.ORCID 0000-0003-3795-0475
Jin-Song von StorchMax Planck Institute for Meteorology, Hamburg, Germany.ORCID 0000-0002-2308-6834

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spatial pattern of sea surface temperature (SST) change in the tropical Pacific plays a central role in shaping global climate through its influence on atmospheric circulation, rainfall, and extreme weather. Accurately simulating this pattern is critical for reliable near-term climate projections, yet persistent discrepancies between models and observations remain. While global warming is unequivocal, satellite-era observations reveal pronounced cooling in the southeastern tropical Pacific and Southern Ocean, contrary to the warming simulated by most CMIP models. These discrepancies raise concerns about the reliability of current models in projecting near-term regional climate change. Here, we present the historical simulation with the ICON coupled model at a 5 km ocean and 10 km atmosphere grid-spacing. ICON successfully reproduces the observed SST trends, including cooling in both the Southern Ocean and the southeastern tropical Pacific. Its fidelity is enabled by the direct representation of eddy heat transport across the Antarctic Circumpolar fronts and realistic stratocumulus cloud feedbacks in the subtropical southeast Pacific. These findings highlight the importance of fine spatial resolution in capturing the mechanisms of heat uptake in the eddy-rich Southern Ocean. Our results suggest a pathway for resolving long-standing biases in historical simulations and improving confidence in near-term climate projections.

Indexed as

km-scale climate modelsocean eddy heat transportSouthern Ocean coolingstratocumulus cloud feedbacktropical Pacific warming pattern

Identifiers

PMID41712637
PMCPMC12933147

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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.