Evidence map›Paper›PMID 42805958›Full record

ArticleNature communications2026

Six-fold reduction in ocean heat content estimate uncertainty since 1960.

Huifeng Yuan, Lijing Cheng, Yuying Pan, Bin Zhang, Benoit Meyssignac, Kevin E Trenberth, Yujing Zhu, Xinyi Song, Huayi Zheng, Senliang Bao and 8 more

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

18 authors.

Huifeng YuanState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0009-0008-7915-1720
Lijing ChengState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China. chenglij@mail.iap.ac.cn.ORCID http://orcid.org/0000-0002-9854-0392
Yuying PanState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Bin ZhangInstitute of Oceanology, Chinese Academy of Sciences, Qingdao, China.
Benoit MeyssignacUniversité de Toulouse, CNES, CNRS, IRD, UT3, LEGOS, Toulouse, France.ORCID http://orcid.org/0000-0001-6325-9843
Kevin E TrenberthNSF National Center for Atmospheric Research, Boulder, CO, USA.ORCID http://orcid.org/0000-0002-1445-1000
Yujing ZhuState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0009-0000-3583-5276
Xinyi SongState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Huayi ZhengState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Senliang BaoCollege of Meteorology and Oceanography, National University of Defense Technology, Changsha, China.
Juan DuUniversity of Chinese Academy of Sciences, Beijing, China.
Jiang ZhuState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-9846-8944
Zhong JinComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-5561-2798
Xuebin ChiComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.
Jinrong JiangComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.
Rongwang ZhangSouth China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China.
Yuan TianComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.
Ning LiuComputer Network Information Center, Chinese Academy of Sciences, Beijing, China.

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2023YFF0806500
6 · The paper itself

Abstract

Ocean heat content (OHC) dominates Earth's energy imbalance, but its uncertainty has not been fully understood. Here, we construct a Large-Ensemble to comprehensively quantify the OHC uncertainty from global to regional scales since 1955, and consider eight groups of error sources based on the community's efforts. The global upper 2000 m OHC estimated uncertainty (defined as 5-95% quartile error range) has reduced six-fold since 1955 from ~111 ZJ (1955-1965) to ~19 ZJ (2014-2023), mainly due to reduced mapping/sampling uncertainty. This indicates a robust upper 2000 m OHC increase since 1955 of 449 [385, 519] ZJ. Quality-Control (QC) has become a primary error source recently, due to the difficulties detecting outliers in eddy-rich regions. Trend uncertainty sources differ from annual OHC: for 2005-2023, the upper 2000m trend is 10.9 [9.2, 11.4] ZJ yr

Identifiers

PMID42805958
PMCPMC13620135

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