Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera

Praz, Christophe; Roulet, Yves-Alain; Berne, Alexis

doi:https://doi.org/10.5194/amt-10-1335-2017

Articles | Volume 10, issue 4

https://doi.org/10.5194/amt-10-1335-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-10-1335-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 4

Research article

|

06 Apr 2017

Research article |

| 06 Apr 2017

Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera

Christophe Praz, Yves-Alain Roulet, and Alexis Berne

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Final revised paper (published on 06 Apr 2017)
Preprint (discussion started on 03 Jan 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of Article', Anonymous Referee #1, 19 Jan 2017
- AC1: 'Responses to the reviewers', Alexis Berne, 22 Mar 2017
RC2: 'Review of “Solid hydrometeor classification and riming degree estimation from pictures collected with a Multi-Angle Snowflake Camera” by Christophe Praz, Yves-Alain Roulet, and Alexis Berne', Anonymous Referee #2, 27 Jan 2017
- AC2: 'Responses to the reviewers', Alexis Berne, 22 Mar 2017
RC3: 'review of AMT-2016-417', Anonymous Referee #3, 12 Feb 2017
- AC3: 'Responses to the reviewers', Alexis Berne, 22 Mar 2017
AC4: 'Revised version iwth highlighted changes', Alexis Berne, 22 Mar 2017

Peer-review completion

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

AR by Alexis Berne on behalf of the Authors (23 Mar 2017)

ED: Publish as is (24 Mar 2017) by Gianfranco Vulpiani

AR by Alexis Berne on behalf of the Authors (27 Mar 2017)

Short summary

The Multi-Angle Snowflake Camera (MASC) provides high-resolution pictures of individual falling snowflakes and ice crystals. A method is proposed to automatically classify these pictures into six classes of snowflakes as well to estimate the degree of riming and to detect whether or not the particles are melting. Multinomial logistic regression is used with a manually classified reference set. The evaluation demonstrates the good and reliable performance of the proposed technique.