Articles | Volume 14, issue 1
https://doi.org/10.5194/tc-14-367-2020
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, Christophe Praz, and Alexis Berne

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Cited articles

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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.