Evidence map›Paper›PMID 42215491›Full record

ArticleNature communications2026

Anthropogenic climate change accelerates the onset of global flood timing.

Wei Qi, Yanli Liu, Xin Jiang, Junguo Liu

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.

Wei QiGuangdong Basic Research Center of Excellence for Ecological Security and Green Development, School of Ecology, Environment and Ocean, Guangdong University of Technology, Guangzhou, China. qiwei_waterresources@hotmail.com.ORCID http://orcid.org/0000-0001-6969-6729
Yanli LiuNational Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing, China.ORCID http://orcid.org/0000-0002-3084-3864
Xin JiangWater Resources Research Institute of Shandong Province, Jinan, China.
Junguo LiuSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.ORCID http://orcid.org/0000-0002-5745-6311

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52388101, 52125902, 52325902, 52439005, 52361145889
6 · The paper itself

Abstract

Floods are among Earth's most devastating natural disasters, with cascading societal and ecological impacts. Flood timing shifts amplify risks by disrupting preparedness, yet their global patterns remain largely unquantified. Using multi-model ensembles, we provide a global-scale assessment of flood timing changes under incremental warming (1.5 °C-4.0 °C). Here we show that anthropogenic forcing advances global flood timing by 0.43 ± 0.25 days per 0.5 °C of warming, with regional divergence: early-flood regions shift even earlier, while late-flood regions experience further delay. At 1.5 °C, 50.73 ± 4.23% of global land area faces flood timing shifts greater than 7 days, escalating to 52.85 ± 3.20% at 2.0 °C. Countries including China, India, and the United States are projected to experience greater population exposure. These findings highlight the need to change how flood risk is conceptualized and managed. The traditional focus on flood magnitude and frequency must expand to incorporate timing as a fundamental variable in climate adaptation planning.

Identifiers

PMID42215491
PMCPMC13392278

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.