Articles | Volume 16, issue 24
https://doi.org/10.5194/amt-16-6007-2023
https://doi.org/10.5194/amt-16-6007-2023
Research article
 | 
15 Dec 2023
Research article |  | 15 Dec 2023

Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars

Liqin Jin, Jakob Mann, Nikolas Angelou, and Mikael Sjöholm

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Latest update: 19 May 2024
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Short summary
By sampling the spectra from continuous-wave Doppler lidars very fast, the rain-induced Doppler signal can be suppressed and the bias in the wind velocity estimation can be reduced. The method normalizes 3 kHz spectra by their peak values before averaging them down to 50 Hz. Over 3 h, we observe a significant reduction in the bias of the lidar data relative to the reference sonic data when the largest lidar focus distance is used. The more it rains, the more the bias is reduced.