Articles | Volume 15, issue 24
https://doi.org/10.5194/amt-15-7211-2022
https://doi.org/10.5194/amt-15-7211-2022
Research article
 | 
16 Dec 2022
Research article |  | 16 Dec 2022

High-fidelity retrieval from instantaneous line-of-sight returns of nacelle-mounted lidar including supervised machine learning

Kenneth A. Brown and Thomas G. Herges

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Latest update: 24 Jun 2024
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Short summary
The character of the airflow around and within wind farms has a significant impact on the energy output and longevity of the wind turbines in the farm. For both research and control purposes, accurate measurements of the wind speed are required, and these are often accomplished with remote sensing devices. This article pertains to a field experiment of a lidar mounted to a wind turbine and demonstrates three data post-processing techniques with efficacy at extracting useful airflow information.