Evidence map›Paper›PMID 42293306›Full record

ArticleWeather and climate extremes2026

Unseen but increasing: recent changes in risk of extreme precipitation over Southern Africa and Southeast Asia.

Erin Coughlan de Perez, Luis Artur, Dorothy Heinrich, Mahar Lagmay, Gibbon Innocent T Masukwedza, Bernardino Nhantumbo, Elisabeth Stephens

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Article in Weather and climate extremes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Erin Coughlan de PerezFeinstein International Center, Friedman School of Nutrition Science and Policy, Tufts University, USA.ORCID 0000-0001-7645-5720
Luis ArturEduardo Mondlane University, Mozambique.
Dorothy HeinrichRed Cross Red Crescent Climate Centre, The Hague, the Netherlands.
Mahar LagmayUniversity of the Philippines Resilience Institute, the Philippines.
Gibbon Innocent T MasukwedzaNational Centre for Atmospheric Science, University of Reading, UK.
Bernardino NhantumboNational Institute of Meteorology, Mozambique.
Elisabeth StephensRed Cross Red Crescent Climate Centre, The Hague, the Netherlands.

Funding

Futureproofing Health: Developing a Center for Resilient Health in DisastersP20ES036118 · NIEHS · TUFTS UNIVERSITY BOSTON · PI COUGHLAN DE PEREZ, ERIN · 2023 to 2023
$3.5M
NIEHS NIH HHS P20 ES036118
6 · The paper itself

Abstract

There is evidence that rainfall extremes have become more intense and frequent over the last few decades, but it is difficult to assess these changes due to the limitations of our short observational records. We use the UNprecedented Simulated Extreme ENsemble (UNSEEN) approach to (1) assess changes in extreme rainfall over Southern Africa and Southeast Asia over the last 40 years and (2) identify locations that have a high chance of breaking rainfall records. We find that extreme rainfall risk has already increased since 1981 during the rainy season in both regions, including a doubling of risk in some months for many major population centers such as Phnom Penh, Vientiane, Bangkok, Hanoi, Maseru, Johannesburg, Lilongwe, and Lusaka. The pattern of increasing risk of extreme rainfall is projected to increase further in the coming 20 years in the CMIP6 ensemble; yet UNSEEN estimates of changes from the last 20 years are already greater than these future projections in the Philippines, northern Mozambique, and northern Madagascar. Finally, we compare the UNSEEN ensemble to historical records to identify places that have "soft records" and are likely to see record-setting events. These places with increasing risks but no recent extremes are labeled as "sitting ducks" in today's climate. We find that much of Mozambique, the Philippines, and Laos would be considered "sitting ducks" for extreme precipitation in at least one month of the year. Disaster risk managers should use these types of large ensembles when estimating the risk of extremes in today's climate, in order to ensure that society is prepared for record breaking events. This approach can also be used for improving engineering design estimates of rainfall return periods and for stress-testing health system and disaster preparedness.

Identifiers

PMID42293306
PMCPMC13256255

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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.