Wind Energy Science
Wind Energy Science
WES
Articles | Volume 10, issue 1
Articles | Volume 10, issue 1
https://doi.org/10.5194/wes-10-83-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/wes-10-83-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 1
Research article
 | 
09 Jan 2025
Research article |  | 09 Jan 2025

On the lidar-turbulence paradox and possible countermeasures

Alfredo Peña, Ginka G. Yankova, and Vasiliki Mallini

Viewed

Total article views: 2,199 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,406 374 419 2,199 87 101
  • HTML: 1,406
  • PDF: 374
  • XML: 419
  • Total: 2,199
  • BibTeX: 87
  • EndNote: 101
Views and downloads (calculated since 09 Sep 2024)
Cumulative views and downloads (calculated since 09 Sep 2024)

Viewed (geographical distribution)

Total article views: 2,199 (including HTML, PDF, and XML) Thereof 2,139 with geography defined and 60 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Jan 2026
Download
Short summary
Lidars are vastly used in wind energy, but most users struggle when interpreting lidar turbulence measures. Here, we explain the difficulty in converting them into standard measurements. We show two ways of converting lidar to in situ turbulence measurements, both using neural networks: one of them is based on physics, while the other is purely data-driven. They show promising results when compared to high-quality turbulence measurements from a tall mast.
Read more
Share
Special issue
NAWEA/WindTech 2024
Altmetrics
Final-revised paper
Preprint