Aerosol type classification analysis using EARLINET multiwavelength and depolarization lidar observations

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

doi:https://doi.org/10.5194/acp-21-2211-2021

Articles | Volume 21, issue 3

https://doi.org/10.5194/acp-21-2211-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

EARLINET aerosol profiling: contributions to atmospheric and...

https://doi.org/10.5194/acp-21-2211-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

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Final revised paper (published on 15 Feb 2021)
Preprint (discussion started on 27 Oct 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review', Anonymous Referee #1, 14 Nov 2020
RC2: 'Review', Anonymous Referee #2, 25 Nov 2020
RC3: 'Review', Anonymous Referee #3, 26 Nov 2020
AC1: 'Final author comments on behalf of all co-authors', Maria Mylonaki, 26 Dec 2020

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.