Articles | Volume 21, issue 3
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Maria Mylonaki on behalf of the Authors (26 Dec 2020)  Author's response    Manuscript
ED: Publish as is (04 Jan 2021) by Eduardo Landulfo
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.
Final-revised paper