Articles | Volume 13, issue 12
https://doi.org/10.5194/amt-13-6579-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-6579-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Dec 2020
Research article |
| 07 Dec 2020
| 07 Dec 2020
Detecting turbulent structures on single Doppler lidar large datasets: an automated classification method for horizontal scans
Ioannis Cheliotis
CORRESPONDING AUTHOR
Laboratoire de Physico-Chimie de l'Atmosphère (LPCA), UR 4493, Université du Littoral Côte d'Opale (ULCO), Dunkirk, France
Elsa Dieudonné
Laboratoire de Physico-Chimie de l'Atmosphère (LPCA), UR 4493, Université du Littoral Côte d'Opale (ULCO), Dunkirk, France
Hervé Delbarre
Laboratoire de Physico-Chimie de l'Atmosphère (LPCA), UR 4493, Université du Littoral Côte d'Opale (ULCO), Dunkirk, France
Anton Sokolov
Laboratoire de Physico-Chimie de l'Atmosphère (LPCA), UR 4493, Université du Littoral Côte d'Opale (ULCO), Dunkirk, France
Egor Dmitriev
Marchuk Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia
Patrick Augustin
Laboratoire de Physico-Chimie de l'Atmosphère (LPCA), UR 4493, Université du Littoral Côte d'Opale (ULCO), Dunkirk, France
Marc Fourmentin
Laboratoire de Physico-Chimie de l'Atmosphère (LPCA), UR 4493, Université du Littoral Côte d'Opale (ULCO), Dunkirk, France
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Short summary
The current study presents an automated method to classify coherent structures near the surface, based on the observations recorded by a single scanning Doppler lidar. This methodology combines texture analysis with a supervised machine-learning algorithm in order to study large datasets. The algorithm classified correctly about 91 % of cases of a training ensemble (150 scans). Furthermore the results of a 2-month classified dataset (4577 scans) by the algorithm are presented.
The current study presents an automated method to classify coherent structures near the surface,...
