Articles | Volume 18, issue 9
Research article
03 May 2018
Research article |  | 03 May 2018

An automated cirrus classification

Edward Gryspeerdt, Johannes Quaas, Tom Goren, Daniel Klocke, and Matthias Brueck


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 Edward Gryspeerdt on behalf of the Authors (05 Feb 2018)  Author's response    Manuscript
ED: Publish as is (06 Feb 2018) by Eric Jensen
Short summary
Cirrus clouds can form by a variety of mechanisms, such as orographic uplift, through convective systems or through large-scale rising motions. In this work, an automated classification of cirrus clouds based on satellite and reanalysis data is presented to separate cirrus by these different formation mechanisms. The classification provides information on the ice origin and cloud-scale updraughts that could not be determined using satellite or reanalysis data alone.
Final-revised paper