Wind Energy Science
Wind Energy Science
WES
Articles | Volume 10, issue 11
Articles | Volume 10, issue 11
https://doi.org/10.5194/wes-10-2551-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-10-2551-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 11
Brief communication
 | 
11 Nov 2025
Brief communication |  | 11 Nov 2025

Brief communication: Enhanced representation of the power spectra of wind speed in convection-permitting models

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

Viewed

Total article views: 2,651 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,987 504 160 2,651 104 132
  • HTML: 1,987
  • PDF: 504
  • XML: 160
  • Total: 2,651
  • BibTeX: 104
  • EndNote: 132
Views and downloads (calculated since 14 Jul 2025)
Cumulative views and downloads (calculated since 14 Jul 2025)

Viewed (geographical distribution)

Total article views: 2,651 (including HTML, PDF, and XML) Thereof 2,553 with geography defined and 98 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 11 Sep 2026
Download
Short summary
We examined the power spectra of wind speed in three convection-permitting models in central Europe and found that these models have a better representation of wind variability characteristics than standard wind datasets like the New European Wind Atlas, due to different simulation approaches, providing more reliable extreme wind predictions.
Read more
Share
Altmetrics
Final-revised paper
Preprint