Articles | Volume 10, issue 1
https://doi.org/10.5194/wes-10-83-2025
Special issue:
https://doi.org/10.5194/wes-10-83-2025
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

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Latest update: 24 Mar 2025
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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.
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