Articles | Volume 14, issue 6
Atmos. Meas. Tech., 14, 4335–4353, 2021
https://doi.org/10.5194/amt-14-4335-2021

Special issue: Tropospheric profiling (ISTP11) (AMT/ACP inter-journal SI)

Atmos. Meas. Tech., 14, 4335–4353, 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 et al.

Model code and software

KABL T. Rieutord, S. Aubert, and T. Machado https://github.com/ThomasRieutord/kabl

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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.