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

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Marie Lothon on behalf of the Authors (02 Jul 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (03 Jul 2019) by Andrew Sayer
RR by Anonymous Referee #1 (14 Jul 2019)
RR by Anonymous Referee #2 (19 Jul 2019)
ED: Publish subject to minor revisions (review by editor) (07 Aug 2019) by Andrew Sayer
AR by Marie Lothon on behalf of the Authors (26 Aug 2019)  Author's response   Manuscript 
ED: Publish as is (28 Aug 2019) by Andrew Sayer
AR by Marie Lothon on behalf of the Authors (30 Aug 2019)  Manuscript 
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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.