The Cryosphere
The Cryosphere
TC
Articles | Volume 14, issue 1
Articles | Volume 14, issue 1
https://doi.org/10.5194/tc-14-367-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-14-367-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 1
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

Viewed

Total article views: 3,932 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,618 1,113 201 3,932 158 197
  • HTML: 2,618
  • PDF: 1,113
  • XML: 201
  • Total: 3,932
  • BibTeX: 158
  • EndNote: 197
Views and downloads (calculated since 13 Dec 2018)
Cumulative views and downloads (calculated since 13 Dec 2018)

Viewed (geographical distribution)

Total article views: 3,932 (including HTML, PDF, and XML) Thereof 3,444 with geography defined and 488 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Jan 2026
Download
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.
Read more
Share