Attributing precipitation, wind and socioeconomic exposure in Hurricane Melissa (2025)

Abstract Hurricane Melissa reached Category 5 intensity in the Caribbean Sea in late October 2025, becoming the strongest hurricane on record to make landfall in Jamaica. Here, we assess the influence of anthropogenic climate change and natural variability on the hurricane’s precipitation and wind hazards. We apply the ClimaMeter analogue-based attribution protocol to ERA5 reanalysis, complemented by a track-based constraining approach. We find that events similar to Melissa are up to 15 mm d −1 wetter and are associated with winds up to 10 km h −1 stronger in today’s climate compared with a counterfactual past. Both correspond to an ∼10 % intensification of the hazards. These results indicate that human-driven climate change amplified Melissa’s precipitation and strengthened its large-scale wind environment. At the same time, natural variability likely modulated the Hurricane’s trajectory and development. We further integrate the meteorological attribution with an exposure analysis, combining hazards with population and gross domestic product per capita at purchasing power parity. We find that almost 5 million people and USD 35 billion in economic assets were located in areas where Melissa’s precipitation and wind hazards were intensified by ongoing climate change. This underscores the growing contribution of anthropogenic climate change to climate risk amplification.

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Publication Details

Journal
Environmental Research Letters
Published
2026-04-15
DOI
https://doi.org/10.1088/1748-9326/ae5992
Primary Topic
Tropical and Extratropical Cyclones Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Attributing precipitation, wind and socioeconomic exposure in Hurricane Melissa (2025)

Stella Bourdin, Gabriele Messori, Carmen Álvarez-Castro, Davide Faranda
Environmental Research Letters
Tropical and Extratropical Cyclones Research
article

Attributing precipitation, wind and socioeconomic exposure in Hurricane Melissa (2025)

Stella Bourdin, Gabriele Messori, Carmen Álvarez-Castro, Davide Faranda
article en

Abstract

Abstract Hurricane Melissa reached Category 5 intensity in the Caribbean Sea in late October 2025, becoming the strongest hurricane on record to make landfall in Jamaica. Here, we assess the influence of anthropogenic climate change and natural variability on the hurricane’s precipitation and wind hazards. We apply the ClimaMeter analogue-based attribution protocol to ERA5 reanalysis, complemented by a track-based constraining approach. We find that events similar to Melissa are up to 15 mm d −1 wetter and are associated with winds up to 10 km h −1 stronger in today’s climate compared with a counterfactual past. Both correspond to an ∼10 % intensification of the hazards. These results indicate that human-driven climate change amplified Melissa’s precipitation and strengthened its large-scale wind environment. At the same time, natural variability likely modulated the Hurricane’s trajectory and development. We further integrate the meteorological attribution with an exposure analysis, combining hazards with population and gross domestic product per capita at purchasing power parity. We find that almost 5 million people and USD 35 billion in economic assets were located in areas where Melissa’s precipitation and wind hazards were intensified by ongoing climate change. This underscores the growing contribution of anthropogenic climate change to climate risk amplification.

Environmental Research LettersVol. 21(8)
Uppsala University (SE), Centre National de la Recherche Scientifique (FR), École Polytechnique (FR), Stockholm University (SE), Université Paris-Saclay (FR), École Normale Supérieure - PSL (FR), University of Oxford (GB), Laboratoire de Météorologie Dynamique (FR), Laboratoire des Sciences du Climat et de l'Environnement (FR), London Mathematical Laboratory (GB), Universidad Pablo de Olavide (ES)
European Commission, Vetenskapsrådet
Climate action
Openalex Percentile: Top 18%
Tropical and Extratropical Cyclones Research
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