Articles | Volume 10, issue 4
Atmos. Meas. Tech., 10, 1335–1357, 2017
https://doi.org/10.5194/amt-10-1335-2017
Atmos. Meas. Tech., 10, 1335–1357, 2017
https://doi.org/10.5194/amt-10-1335-2017

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 et al.

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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 Svenja Lange on behalf of the Authors (24 Mar 2017)  Author's response
ED: Publish as is (24 Mar 2017) by Gianfranco Vulpiani
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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.