Evidence map›Paper›PMID 38424053›Full record

ArticleScientific reports2024

Enhanced risk of record-breaking regional temperatures during the 2023-24 El Niño.

Ning Jiang, Congwen Zhu, Zeng-Zhen Hu, Michael J McPhaden, Deliang Chen, Boqi Liu, Shuangmei Ma, Yuhan Yan, Tianjun Zhou, Weihong Qian and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Unprecedented Amazonian rainforests damage during the 2023-2024 droughts.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Observation-based estimate of Earth's effective radiative forcing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. 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

14 authors.

Ning JiangState Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
Congwen ZhuState Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences, Beijing, 100081, China. zhucw@cma.gov.cn.
Zeng-Zhen HuClimate Prediction Center, NCEP/NWS/NOAA, College Park, MD, USA.
Michael J McPhadenNOAA/Pacific Marine Environment Laboratory, Seattle, WA, USA.
Deliang ChenDepartment of Earth Sciences, University of Gothenburg, 40530, Gothenburg, Sweden.
Boqi LiuState Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
Shuangmei MaState Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
Yuhan YanState Key Laboratory of Severe Weather (LASW), Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
Tianjun ZhouState Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
Weihong QianDepartment of Atmospheric and Oceanic Sciences, Peking University, Beijing, 100871, China.
Jingjia LuoInstitute for Climate and Application Research (ICAR), Nanjing University of Information Science and Technology, Nanjing, 210044, China.
Xiuqun YangSchool of Atmospheric Sciences, Nanjing University, Nanjing, 210023, China.
Fei LiuKey Laboratory of Tropical Atmosphere-Ocean System Ministry of Education, and Southern Marine Science and Engineering Guangdong Laboratory, School of Atmospheric Sciences Sun Yat-Sen University, Zhuhai, 519082, China.
Yuejian ZhuEarth System Modeling and Prediction Centre (CEMC), China Meteorological Administration, Beijing, 100081, China.

Funding

National Natural and Science Foundation of China 42005011National Natural and Science Foundation of China U2242205NOAA Pacific Marine Environmental Laboratory 5571Swedish Research Council 2021-02163the Basic Scientific Research and Operation Foundation of CAMS 2023Z018
6 · The paper itself

Abstract

In 2023, the development of El Niño is poised to drive a global upsurge in surface air temperatures (SAT), potentially resulting in unprecedented warming worldwide. Nevertheless, the regional patterns of SAT anomalies remain diverse, obscuring where historical warming records may be surpassed in the forthcoming year. Our study underscores the significant influence of El Niño and the persistence of climate signals on the inter-annual variability of regional SAT, both in amplitude and spatial distribution. The likelihood of global mean SAT exceeding historical records, calculated from July 2023 to June 2024, is estimated at 90%, contingent upon annual-mean sea surface temperature anomalies in the eastern equatorial Pacific exceeding 0.6 °C. Regions particularly susceptible to recording record-high SAT include coastal and adjacent areas in Asia such as the Bay of Bengal and the South China Sea, as well as Alaska, the Caribbean Sea, and the Amazon. This impending warmth heightens the risk of year-round marine heatwaves and escalates the threat of wildfires and other negative consequences in Alaska and the Amazon basin, necessitating strategic mitigation measures to minimize potential worst-case impacts.

Identifiers

PMID38424053
PMCPMC10904789

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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.