Articles | Volume 14, issue 6
https://doi.org/10.5194/amt-14-4335-2021
https://doi.org/10.5194/amt-14-4335-2021
Research article
 | 
11 Jun 2021
Research article |  | 11 Jun 2021

Deriving boundary layer height from aerosol lidar using machine learning: KABL and ADABL algorithms

Thomas Rieutord, Sylvain Aubert, and Tiago Machado

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Latest update: 23 Apr 2024
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Short summary
This article describes two methods to estimate the height of the very first layer of the atmosphere. It is measured with aerosol lidars, and the two new methods are based on machine learning. Both are open source and available under free licenses. A sensitivity analysis and a 2-year evaluation against meteorological balloons were carried out. One method has a good agreement with balloons but is limited by training, and the other has less good agreement with balloons but is more flexible.