Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 12, issue 8
Articles | Volume 12, issue 8
https://doi.org/10.5194/amt-12-4241-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-4241-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 8
Research article
 | 
06 Aug 2019
Research article |  | 06 Aug 2019

Analysis algorithm for sky type and ice halo recognition in all-sky images

Sylke Boyd, Stephen Sorenson, Shelby Richard, Michelle King, and Morton Greenslit

Viewed

Total article views: 2,486 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,464 958 64 2,486 77 71
  • HTML: 1,464
  • PDF: 958
  • XML: 64
  • Total: 2,486
  • BibTeX: 77
  • EndNote: 71
Views and downloads (calculated since 07 Jan 2019)
Cumulative views and downloads (calculated since 07 Jan 2019)

Viewed (geographical distribution)

Total article views: 2,486 (including HTML, PDF, and XML) Thereof 2,229 with geography defined and 257 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 14 Dec 2024
Download
Short summary
How cirroform clouds affect the radiation balance of the atmosphere depends on their properties, including ice particle types such as crystals, pellets, and fragments. Ice halos form if ice particles in these clouds are in a smooth hexagonal crystalline form. This paper introduces a method to search long-term records of sky images for ice halos, as gathered by total sky imagers (TSIs). Such an analysis will allow one to explore geographical and seasonal variations in cirrus cloud particle types.
Read more