Articles | Volume 11, issue 6
https://doi.org/10.5194/tc-11-2829-2017
https://doi.org/10.5194/tc-11-2829-2017
Research article
 | 
11 Dec 2017
Research article |  | 11 Dec 2017

Relationships between Arctic sea ice drift and strength modelled by NEMO-LIM3.6

David Docquier, François Massonnet, Antoine Barthélemy, Neil F. Tandon, Olivier Lecomte, and Thierry Fichefet

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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 David Docquier on behalf of the Authors (13 Jul 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (17 Jul 2017) by Dirk Notz
RR by Anonymous Referee #2 (03 Aug 2017)
RR by Anonymous Referee #1 (01 Sep 2017)
ED: Reconsider after major revisions (06 Sep 2017) by Dirk Notz
AR by David Docquier on behalf of the Authors (02 Oct 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (12 Oct 2017) by Dirk Notz
RR by Anonymous Referee #2 (30 Oct 2017)
ED: Publish subject to minor revisions (review by editor) (02 Nov 2017) by Dirk Notz
AR by David Docquier on behalf of the Authors (03 Nov 2017)  Author's response   Manuscript 
ED: Publish as is (06 Nov 2017) by Dirk Notz
AR by David Docquier on behalf of the Authors (06 Nov 2017)
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Short summary
Our study provides a new way to evaluate the performance of a climate model regarding the interplay between sea ice motion, area and thickness in the Arctic against different observation datasets. We show that the NEMO-LIM model is good in that respect and that the relationships between the different sea ice variables are complex. The metrics we developed can be used in the framework of the Coupled Model Intercomparison Project 6 (CMIP6), which will feed the next IPCC report.