Articles | Volume 12, issue 10
https://doi.org/10.5194/amt-12-5519-2019
https://doi.org/10.5194/amt-12-5519-2019
Research article
 | 
21 Oct 2019
Research article |  | 21 Oct 2019

ELIFAN, an algorithm for the estimation of cloud cover from sky imagers

Marie Lothon, Paul Barnéoud, Omar Gabella, Fabienne Lohou, Solène Derrien, Sylvain Rondi, Marjolaine Chiriaco, Sophie Bastin, Jean-Charles Dupont, Martial Haeffelin, Jordi Badosa, Nicolas Pascal, and Nadège Montoux

Viewed

Total article views: 3,280 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,994 1,221 65 3,280 89 62
  • HTML: 1,994
  • PDF: 1,221
  • XML: 65
  • Total: 3,280
  • BibTeX: 89
  • EndNote: 62
Views and downloads (calculated since 04 Feb 2019)
Cumulative views and downloads (calculated since 04 Feb 2019)

Viewed (geographical distribution)

Total article views: 3,280 (including HTML, PDF, and XML) Thereof 2,889 with geography defined and 391 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 May 2024
Download
Short summary
In the context of an atmospheric network of instrumented sites equipped with sky cameras for cloud monitoring, we present an algorithm named ELIFAN, which aims to estimate the cloud cover amount from full-sky visible daytime images. ELIFAN is based on red-to-blue ratio thresholding applied on the image pixels and on the use of a blue-sky library. We present its principle and its performance and highlight the interest of combining several complementary instruments.