Articles | Volume 21, issue 3
https://doi.org/10.5194/acp-21-2211-2021
https://doi.org/10.5194/acp-21-2211-2021
Research article
 | 
15 Feb 2021
Research article |  | 15 Feb 2021

Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations

Maria Mylonaki, Elina Giannakaki, Alexandros Papayannis, Christina-Anna Papanikolaou, Mika Komppula, Doina Nicolae, Nikolaos Papagiannopoulos, Aldo Amodeo, Holger Baars, and Ourania Soupiona

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Latest update: 03 Mar 2024
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Short summary
We introduce an automated aerosol type classification method, SCAN. The output of SCAN is compared with two aerosol classification methods: (1) the Mahalanobis distance automatic aerosol type classification and (2) a neural network aerosol typing algorithm. A total of 97 free tropospheric aerosol layers from four EARLINET stations in the period 2014–2018 were classified.
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