Articles | Volume 19, issue 13
Atmos. Chem. Phys., 19, 8759–8782, 2019
https://doi.org/10.5194/acp-19-8759-2019
Atmos. Chem. Phys., 19, 8759–8782, 2019
https://doi.org/10.5194/acp-19-8759-2019

Research article 10 Jul 2019

Research article | 10 Jul 2019

Arctic cloud annual cycle biases in climate models

Patrick C. Taylor et al.

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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 Lorena Grabowski on behalf of the Authors (18 Apr 2019)  Author's response
ED: Referee Nomination & Report Request started (24 Apr 2019) by Radovan Krejci
RR by Abhay Devasthale (25 Apr 2019)
RR by Anonymous Referee #1 (01 May 2019)
ED: Publish subject to minor revisions (review by editor) (01 May 2019) by Radovan Krejci
AR by Patrick Taylor on behalf of the Authors (14 May 2019)  Author's response    Manuscript
ED: Publish as is (15 May 2019) by Radovan Krejci
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Short summary
Climate projections disagree more in the rapidly changing Arctic than anywhere else. The impact of a changing Arctic spans food and water security, economics, national security, etc. The representation of Arctic clouds within climate models is a critical roadblock towards improving Arctic climate projections. We explore the potential drivers of the diverse representation of the Arctic cloud annual cycle within climate models providing evidence that microphysical processes are a key driver.
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