Articles | Volume 18, issue 18
https://doi.org/10.5194/amt-18-4755-2025
https://doi.org/10.5194/amt-18-4755-2025
Research article
 | 
25 Sep 2025
Research article |  | 25 Sep 2025

Comparison of the performance between three Doppler wind lidars and a novel wind speed correction algorithm

Yidan Zhang, Hancheng Hu, Yuan Li, Mengqi Liu, Fugui Zhang, Huilian She, and Hao Wu

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This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
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Cited articles

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This study advances the field of low altitude wind field detection by systematically evaluating Doppler wind lidar performance against in situ balloon radiosonde under complex atmospheric conditions. We propose a novel machine learning framework for wind profile correction and the Aeolus satellite is used to verify the reliability of the algorithm further to enhance data reliability in meteorological remote sensing.
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