Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7525-2021
https://doi.org/10.5194/amt-14-7525-2021
Research article
 | 
03 Dec 2021
Research article |  | 03 Dec 2021

Mitigation of bias sources for atmospheric temperature and humidity in the mobile Raman Weather and Aerosol Lidar (WALI)

Julien Totems, Patrick Chazette, and Alexandre Baron

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Latest update: 14 Jul 2024
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Short summary
We describe in detail the design and calibration of the new Raman channels for the WALI system, going over the important sources of bias and uncertainty on retrieved temperature profiles. For the first time, their impact is investigated using horizontal shots in a homogenous atmosphere: the magnitude of the highlighted biases can be much larger than the targeted absolute accuracy of 1° C. Actual measurement errors are quantified using radiosoundings launched close to the lidar site.