Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 10
Articles | Volume 14, issue 10
https://doi.org/10.5194/amt-14-6851-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-6851-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 10
Research article
 | 
25 Oct 2021
Research article |  | 25 Oct 2021

Reconstruction of the mass and geometry of snowfall particles from multi-angle snowflake camera (MASC) images

Jussi Leinonen, Jacopo Grazioli, and Alexis Berne

Viewed

Total article views: 3,546 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,668 796 82 3,546 100 111
  • HTML: 2,668
  • PDF: 796
  • XML: 82
  • Total: 3,546
  • BibTeX: 100
  • EndNote: 111
Views and downloads (calculated since 12 Jul 2021)
Cumulative views and downloads (calculated since 12 Jul 2021)

Viewed (geographical distribution)

Total article views: 3,546 (including HTML, PDF, and XML) Thereof 3,486 with geography defined and 60 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 11 Sep 2025
Download
Short summary
Measuring the shape, size and mass of a large number of snowflakes is a challenging task; it is hard to achieve in an automatic and instrumented manner. We present a method to retrieve these properties of individual snowflakes using as input a triplet of images/pictures automatically collected by a multi-angle snowflake camera (MASC) instrument. Our method, based on machine learning, is trained on artificially generated snowflakes and evaluated on 3D-printed snowflake replicas.
Read more
Share