Articles | Volume 12, issue 8
Model evaluation paper
28 Aug 2019
Model evaluation paper |  | 28 Aug 2019

Snowfall distribution and its response to the Arctic Oscillation: an evaluation of HighResMIP models in the Arctic using CPR/CloudSat observations

Manu Anna Thomas, Abhay Devasthale, Tristan L'Ecuyer, Shiyu Wang, Torben Koenigk, and Klaus Wyser


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 Manu Thomas on behalf of the Authors (09 Jul 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (16 Jul 2019) by Alexander Robel
RR by Anonymous Referee #1 (21 Jul 2019)
ED: Publish subject to technical corrections (23 Jul 2019) by Alexander Robel
AR by Manu Thomas on behalf of the Authors (24 Jul 2019)  Manuscript 
Short summary
Snow cover significantly influences the surface albedo and radiation budget. Therefore, a realistic representation of snowfall in climate models is important. Here, using decade-long estimates of snowfall derived from the satellite sensor, four climate models are evaluated to assess how well they simulate snowfall in the Arctic. It is found that light and median snowfall is overestimated by the models in comparison to the satellite observations, and extreme snowfall is underestimated.