A convolutional neural network for classifying cloud particles recorded by imaging probes

Touloupas, Georgios; Lauber, Annika; Henneberger, Jan; Beck, Alexander; Lucchi, Aurélien

doi:https://doi.org/10.5194/amt-13-2219-2020

Articles | Volume 13, issue 5

Atmos. Meas. Tech., 13, 2219–2239, 2020

https://doi.org/10.5194/amt-13-2219-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Atmos. Meas. Tech., 13, 2219–2239, 2020

https://doi.org/10.5194/amt-13-2219-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 5

Research article 08 May 2020

Research article | 08 May 2020

A convolutional neural network for classifying cloud particles recorded by imaging probes

Georgios Touloupas et al.

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Final revised paper (published on 08 May 2020)
Preprint (discussion started on 15 Jul 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Reviewer # 1', Darrel Baumgardner, 10 Aug 2019
- AC1: 'Response to Darrel Baumgardner (referee 1)', Annika Lauber, 11 Nov 2019
RC2: 'Review of AMT manuscript submitted by Touloupas et al.', Anonymous Referee #2, 11 Aug 2019
- AC2: 'Response to referee 2', Annika Lauber, 11 Nov 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Anna Mirena Feist-Polner on behalf of the Authors (23 Dec 2019) Author's response Manuscript

ED: Referee Nomination & Report Request started (10 Jan 2020) by Wiebke Frey

RR by Darrel Baumgardner (12 Jan 2020)

RR by Anonymous Referee #2 (05 Mar 2020)

ED: Publish as is (05 Mar 2020) by Wiebke Frey

Short summary

Images of cloud particles give important information for improving our understanding of microphysical cloud processes. For phase-resolved measurements, a large number of water droplets and ice crystals need to be classified by an automated approach. In this study, a convolutional neural network was designed, which exceeds the classification ability of traditional methods and therefore shortens the analysis procedure of cloud particle images.