Evidence map›Paper›PMID 42049749›Full record

ArticleNature communications2026

Increased shallower tropical cyclones under extreme warm climates.

Tingyu Zhang, Tianjun Zhou, Zhun Guo, Linqiang He, Zikun Ren

Erratum issuedAbstract 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. An erratum has been issued. 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

5 · Who and what money

Authors and funding

5 authors.

Tingyu ZhangState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0009-0004-3777-8737
Tianjun ZhouState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China. zhoutj@lasg.iap.ac.cn.ORCID http://orcid.org/0000-0002-5829-7279
Zhun GuoState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0001-8102-5880
Linqiang HeState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.
Zikun RenState Key Laboratory of Earth System Numerical Modeling and Application, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42588201
6 · The paper itself

Abstract

Changes of tropical cyclones (TCs) under warming climates are of great concern due to their destructive impacts. While changes in TC intensity and rainfall rate have been well documented, far less is known about changes in vertical structure, which are crucial for determining the severity of TC-related hazards. Here, we show that the proportion of shallow cyclones, characterized by convective updraft maxima and low-pressure anomalies confined to the lower troposphere, increases significantly under extreme warm climates. Notably, during the Early Eocene Climatic Optimum (EECO), shallow cyclones are more prevalent than deep cyclones, which dominate in the present-day tropical regions. This transition is primarily driven by strengthened ventilation and increased static stability. Although shallower cyclones tend to generate weaker winds, their collective contribution to extreme rainfall is comparable to that of deep cyclones during the EECO. These findings highlight the necessity of reassessing cyclone-related hydrological hazards, particularly regarding flood risks associated with shallower cyclones.

Identifiers

PMID42049749
PMCPMC13333812

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.