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.

Viewed

Total article views: 3,255 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,887 1,280 88 3,255 116 125
  • HTML: 1,887
  • PDF: 1,280
  • XML: 88
  • Total: 3,255
  • BibTeX: 116
  • EndNote: 125
Views and downloads (calculated since 03 Jan 2017)
Cumulative views and downloads (calculated since 03 Jan 2017)

Viewed (geographical distribution)

Total article views: 3,255 (including HTML, PDF, and XML) Thereof 3,167 with geography defined and 88 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Feb 2023
Download
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.