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

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

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

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, Annika Lauber, Jan Henneberger, Alexander Beck, and Aurélien Lucchi

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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 Annika Lauber on behalf of the Authors (11 Nov 2019)

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

AR by Annika Lauber on behalf of the Authors (15 Mar 2020) Manuscript

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.