Evidence map›Paper›PMID 41547699›Full record

ArticleScientific data2026

Global coastal wind hazard maps from the CHAZ tropical cyclone model.

Simona Meiler, Chia-Ying Lee, Suzana J Camargo, Adam H Sobel

Abstract read
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Simona MeilerCivil and Environmental Engineering, Stanford University, Stanford, CA, USA. simona@simonameiler.ch.
Chia-Ying LeeLamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.ORCID http://orcid.org/0000-0002-1644-375X
Suzana J CamargoLamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.ORCID http://orcid.org/0000-0002-0802-5160
Adam H SobelLamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA.ORCID http://orcid.org/0000-0003-3602-0567

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) P500PN_222189
6 · The paper itself

Abstract

Synthetic tropical cyclone (TC) models have become essential tools for assessing TC hazard and risk, due to both the shortness of observational records and, now, the influence of climate change. However, the direct output from these models, TC track sets, requires additional processing to become useful for impact assessments beyond traditional climate science and meteorological research. Converting TC tracks into hazard maps condenses complex information on TC intensity and frequency into widely accessible formats, facilitating diverse impact analyses. Here, we present global coastal wind risk maps generated using the Columbia TC hazard model (CHAZ) for both present-day and future climate conditions. Climate scenario-driven data are provided for a recent historical period (1995-2014) and two future periods, mid-century (2041-2060) and end-of-century (2081-2100); a reference data set downscaled from an observation-based reanalysis for 1981-2019 is also provided. These hazard maps depict TC intensity exceedance probabilities and return periods, providing valuable insights to policymakers, planners, and researchers focused on disaster preparedness.

Identifiers

PMID41547699
PMCPMC12858913

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LicenceCC BY
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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.