Anthropogenic climate change intensifies rainfall in extreme compound rainfall-wave events in the NW Mediterranean

Abstract The concurrent occurrence of extreme rainfall and energetic wave conditions can generate compound coastal hazards with impacts exceeding those produced by either driver alone. Although recent studies have identified changes in rainfall-wave extremes along the northwestern Mediterranean coast, whether these changes can be attributed to anthropogenic climate remains unclear. Here, we investigate the anthropogenic influence on compound rainfall-wave extremes using five initial-condition ensemble members of the CMIP6 MRI-ESM2.0 model from the Detection and Attribution Model Intercomparison Project, comparing factual (ALL) and counterfactual (NAT) experiments over 1961-2020. Changes in dependence and joint return periods are assessed using Kendall's τ-b and copula-based analyses. No robust anthropogenic signal is detected in the observed strengthening of rainfall-wave dependence, as neither its temporal evolution nor the change in dependence structure identified in ERA5 is consistently reproduced across the ensemble. In contrast, the ALL-NAT comparison suggests an anthropogenic contribution to rainfall intensification in the most extreme compound events, while wave changes remain small and variable across realizations. For example, fitted estimates associate a rainfall-wave combination of P24h ≈ 320 mm and Hs ≈ 4 m with joint return periods of approximately 50 years under NAT and 25 years under ALL. This comparison is indicative, with its magnitude subject to uncertainties in event sampling, marginal fitting, and copula estimation that have yet to be quantified. Agreement with ERA5 supports the model’s representation of baseline characteristics, although further evaluation would strengthen confidence in its response to external forcing. Overall, the findings suggest rainfall intensification within the model framework, while the associated frequency change should be interpreted with caution.

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Publication Details

Journal
Environmental Research Letters
Published
2026-10-28
DOI
https://doi.org/10.1088/1748-9326/aebaa0
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Anthropogenic climate change intensifies rainfall in extreme compound rainfall-wave events in the NW Mediterranean

Thomas Wahl, JOSE ANTONIO JIMENEZ, María Aguilera-Vidal
2 links
Environmental Research Letters
Climate variability and models
article

Anthropogenic climate change intensifies rainfall in extreme compound rainfall-wave events in the NW Mediterranean

Thomas Wahl, JOSE ANTONIO JIMENEZ, María Aguilera-Vidal
article en

Abstract

Abstract The concurrent occurrence of extreme rainfall and energetic wave conditions can generate compound coastal hazards with impacts exceeding those produced by either driver alone. Although recent studies have identified changes in rainfall-wave extremes along the northwestern Mediterranean coast, whether these changes can be attributed to anthropogenic climate remains unclear. Here, we investigate the anthropogenic influence on compound rainfall-wave extremes using five initial-condition ensemble members of the CMIP6 MRI-ESM2.0 model from the Detection and Attribution Model Intercomparison Project, comparing factual (ALL) and counterfactual (NAT) experiments over 1961-2020. Changes in dependence and joint return periods are assessed using Kendall's τ-b and copula-based analyses. No robust anthropogenic signal is detected in the observed strengthening of rainfall-wave dependence, as neither its temporal evolution nor the change in dependence structure identified in ERA5 is consistently reproduced across the ensemble. In contrast, the ALL-NAT comparison suggests an anthropogenic contribution to rainfall intensification in the most extreme compound events, while wave changes remain small and variable across realizations. For example, fitted estimates associate a rainfall-wave combination of P24h ≈ 320 mm and Hs ≈ 4 m with joint return periods of approximately 50 years under NAT and 25 years under ALL. This comparison is indicative, with its magnitude subject to uncertainties in event sampling, marginal fitting, and copula estimation that have yet to be quantified. Agreement with ERA5 supports the model’s representation of baseline characteristics, although further evaluation would strengthen confidence in its response to external forcing. Overall, the findings suggest rainfall intensification within the model framework, while the associated frequency change should be interpreted with caution.

Environmental Research Letters
University of Central Florida (US), Universitat Politècnica de Catalunya (ES)
Ministerio de Ciencia e Innovación, Departament de Recerca i Universitats, Generalitat de Catalunya
Climate action
Openalex Percentile: Top 17%
Climate variability and models
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