Evidence map›Paper›PMID 41826341›Full record

ArticleNature communications2026

Increased hailstorms in cities through cell merger mechanism across North America and East Asia.

Ang Zhou, Kun Zhao, Johnny C L Chan, Shuguang 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

4 authors.

Ang ZhouState Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University, Nanjing, China.ORCID http://orcid.org/0009-0008-5050-9135
Kun ZhaoState Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University, Nanjing, China. zhaokun@nju.edu.cn.ORCID http://orcid.org/0000-0002-6022-6226
Johnny C L ChanSchool of Energy and Environment, City University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0001-8390-7422
Shuguang WangState Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University, Nanjing, China.ORCID http://orcid.org/0000-0003-1861-9285

Funding

China Postdoctoral Science Foundation GZC20231094National Natural Science Foundation of China (National Science Foundation of China) 42025501National Natural Science Foundation of China (National Science Foundation of China) 42230607National Natural Science Foundation of China (National Science Foundation of China) 42305006Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) BK20230800
6 · The paper itself

Abstract

Hailstorms rank among the most destructive extreme weather events globally, causing substantial property damage. While limited case studies suggest that cities may exacerbate hailstorms, the underlying mechanisms remain uncertain because of the complex physical processes. Here, we examine a hailstorm formation pathway associated with convective merging process using long-term observational data and high-resolution numerical simulations. This pathway helps explain the rising frequency of hailstorms across two distinct climate regimes, North America and East Asia. We find that merger hailstorms (MHs) occur approximately twice as often and tend to be more intense than non-merging normal hailstorms (NHs), which have been traditionally considered as the primary hailstorm formation mode. Favorable environmental conditions support the initiation of multiple convective cells and their subsequent merging, a tendency that may be enhanced by anthropogenic heat in large cities. Projections from a machine-learning model indicate an increase in the MH frequency and a decrease in NH frequency in North America. Together, these findings highlight an underexplored hailstorm formation pathway and suggest that climate change and human activities may play a role in shaping future hailstorm characteristics and the associated risks.

Identifiers

PMID41826341
PMCPMC13129061

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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.