Articles | Volume 11, issue 8
https://doi.org/10.5194/wes-11-2961-2026
https://doi.org/10.5194/wes-11-2961-2026
Research article
 | 
14 Aug 2026
Research article |  | 14 Aug 2026

Assessing inter-model agreement in convection-permitting simulations of extreme winds for wind energy applications

Nathalia Correa-Sánchez, Xiaoli Guo Larsén, Eleonora Dallan, Marco Borga, and Francesco Marra

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Short summary
This research presents the first use of the simplified metastatistical extreme value approach for wind extremes, extending it to wind energy applications. We use a categorical framework that combines climate, roughness, and topography to evaluate convection-permitted models. We find that model formulation drives inter-model uncertainties, rather than surface conditions. Convection-permitted models' uncertainty analysis improves the reliability of extreme wind estimates for design parameters. 
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