Articles | Volume 12, issue 8
https://doi.org/10.5194/amt-12-4241-2019
https://doi.org/10.5194/amt-12-4241-2019
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

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sylke Boyd on behalf of the Authors (11 Apr 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Apr 2019) by Andrew Sayer
RR by Anonymous Referee #2 (26 Apr 2019)
ED: Reconsider after major revisions (08 May 2019) by Andrew Sayer
AR by Sylke Boyd on behalf of the Authors (14 Jun 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (17 Jun 2019) by Andrew Sayer
ED: Publish subject to technical corrections (10 Jul 2019) by Andrew Sayer
AR by Sylke Boyd on behalf of the Authors (11 Jul 2019)  Author's response    Manuscript
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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.