Wind Energy Science
Wind Energy Science
WES
Articles | Volume 11, issue 8
Articles | Volume 11, issue 8
https://doi.org/10.5194/wes-11-2961-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-11-2961-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 8
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

Viewed

Total article views: 1,067 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
614 408 45 1,067 58 61
  • HTML: 614
  • PDF: 408
  • XML: 45
  • Total: 1,067
  • BibTeX: 58
  • EndNote: 61
Views and downloads (calculated since 30 Oct 2025)
Cumulative views and downloads (calculated since 30 Oct 2025)

Viewed (geographical distribution)

Total article views: 1,067 (including HTML, PDF, and XML) Thereof 991 with geography defined and 76 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 03 Sep 2026
Download
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. 
Read more
Share
Altmetrics
Final-revised paper
Preprint