Evidence map›Paper›PMID 41912514›Full record

ArticleNature communications2026

Global stalled tropical cyclones in a changing climate.

Zifeng Deng, Gabriele Villarini, Wenchang Yang, Gabriel A Vecchi, Zhaoli Wang

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

5 authors.

Zifeng DengSchool of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou, China.ORCID http://orcid.org/0000-0003-3592-1320
Gabriele VillariniDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ, USA. gvillari@princeton.edu.ORCID http://orcid.org/0000-0001-9566-2370
Wenchang YangDepartment of Geosciences, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0003-0053-9527
Gabriel A VecchiHigh Meadows Environmental Institute, Princeton University, Princeton, NJ, USA.ORCID http://orcid.org/0000-0002-5085-224X
Zhaoli WangSchool of Civil Engineering and Transportation, State Key Laboratory of Subtropical Building and Urban Science, South China University of Technology, Guangzhou, China. wangzhl@scut.edu.cn.ORCID http://orcid.org/0000-0002-8118-802X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tropical cyclone (TC) stalling refers to a storm wandering within a relatively small region. When TC stalling occurs, localized accumulated damage can increase substantially. However, the understanding of this special behavior globally, especially its response to climate warming, remains limited. Here, we provide a comprehensive global analysis of TC stalling and its response to climate warming, utilizing both observational data and climate model simulations. Our results reveal a distinct hemispheric asymmetry, showing that basins in the Southern Hemisphere are more prone to TC stalling than those in the Northern Hemisphere. Although a warming climate reduces the global probability of TC stalling occurrence, it significantly increases the daily rainfall by these storms, particularly over land and nearshore regions. Our analysis also indicates that, although the main drivers for the stalling vary in different basins, in general, they are mainly influenced by the steering wind vector (magnitude and direction) and TC location. Furthermore, changes in probability of TC stalling in climate warming are mainly affected by changes in the probability of TC exposure to a weak steering flow.

Identifiers

PMID41912514
PMCPMC13249938

What OpenQuestion holds

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LicenceCC BY
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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.