Articles | Volume 14, issue 1
The Cryosphere, 14, 367–384, 2020
https://doi.org/10.5194/tc-14-367-2020
The Cryosphere, 14, 367–384, 2020
https://doi.org/10.5194/tc-14-367-2020

Research article 30 Jan 2020

Research article | 30 Jan 2020

Identification of blowing snow particles in images from a Multi-Angle Snowflake Camera

Mathieu Schaer et al.

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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
ED: Reconsider after major revisions (03 Jun 2019) by Marie Dumont
AR by Alexis Berne on behalf of the Authors (03 Jun 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (04 Jun 2019) by Marie Dumont
RR by Anonymous Referee #1 (15 Jun 2019)
RR by Anonymous Referee #3 (23 Sep 2019)
ED: Publish subject to minor revisions (review by editor) (27 Sep 2019) by Marie Dumont
AR by Alexis Berne on behalf of the Authors (21 Nov 2019)  Author's response    Manuscript
ED: Publish as is (05 Dec 2019) by Marie Dumont
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Short summary
Wind and precipitation often occur together, making the distinction between particles coming from the atmosphere and those blown by the wind difficult. This is however a crucial task to accurately close the surface mass balance. We propose an algorithm based on Gaussian mixture models to separate blowing snow and precipitation in images collected by a Multi-Angle Snowflake Camera (MASC). The algorithm is trained and (positively) evaluated using data collected in the Swiss Alps and in Antarctica.