Evidence map›Paper›PMID 42840432›Full record

ArticleNational science review2026

Rising coastal wave hazards from climate-driven winds and tropical cyclones.

Ruizi Shi, Jinzhong Min, Changming Dong, Rong-Hua Zhang, Fanghua Xu

Abstract read
In one paragraph

Article in National science review, 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.

Ruizi ShiState Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Earth System Modeling Center/School of Atmospheric Sciences/School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.ORCID https://orcid.org/0000-0002-0660-5786
Jinzhong MinState Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Earth System Modeling Center/School of Atmospheric Sciences/School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Changming DongState Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Earth System Modeling Center/School of Atmospheric Sciences/School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Rong-Hua ZhangState Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster, Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters/Earth System Modeling Center/School of Atmospheric Sciences/School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Fanghua XuDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coastal wave storms are intense, long-lasting hazards that threaten populated shorelines worldwide. Under global warming, large-scale wind patterns are changing and modifying ocean surface waves. However, the long-term evolution of coastal wave storms and the drivers of their change remain poorly quantified on global scales. Here, using global wave simulations with corrected tropical-cyclone winds for 1990-2023, we show that coastal wave storm frequency increases worldwide, with the strongest rise along the Atlantic coasts (∼5% per decade). This basin-wide enhancement is primarily driven by intensified nearshore winds, while tropical cyclones act as an additional amplifier. Combining changes in frequency, duration and intensity, we identify the Yellow Sea-East China Sea and the Northwest Atlantic coasts as emerging hotspots of rapidly intensifying wave hazards. Our findings provide the first global-scale baseline for attributing coastal wave-storm trends to changes in the wind-storm environment, thereby informing early-warning systems and guiding adaptation strategies under continued climate change.

Indexed as

enhanced wave hazardtropical cyclonewave stormwind-wave interaction

Identifiers

PMID42840432
PMCPMC13639191

What OpenQuestion holds

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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.