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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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on wes-2025-172', Anonymous Referee #1, 20 Nov 2025
    • AC1: 'Reply on RC1', Nathalia Correa-Sánchez, 06 Feb 2026
  • RC2: 'Comment on wes-2025-172', Anonymous Referee #2, 03 Dec 2025
    • AC2: 'Reply on RC2', Nathalia Correa-Sánchez, 06 Feb 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Nathalia Correa-Sánchez on behalf of the Authors (19 Feb 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (23 Mar 2026) by Julie Lundquist
RR by Anonymous Referee #1 (09 Apr 2026)
ED: Publish subject to minor revisions (review by editor) (26 Apr 2026) by Julie Lundquist
AR by Nathalia Correa-Sánchez on behalf of the Authors (04 May 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (10 May 2026) by Julie Lundquist
AR by Nathalia Correa-Sánchez on behalf of the Authors (16 May 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (24 May 2026) by Julie Lundquist
ED: Publish as is (29 May 2026) by Julia Gottschall (Chief editor)
AR by Nathalia Correa-Sánchez on behalf of the Authors (06 Jun 2026)  Author's response   Manuscript 
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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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