Articles | Volume 10, issue 4
https://doi.org/10.5194/tc-10-1513-2016
https://doi.org/10.5194/tc-10-1513-2016
Research article
 | 
19 Jul 2016
Research article |  | 19 Jul 2016

Arctic sea-ice diffusion from observed and simulated Lagrangian trajectories

Pierre Rampal, Sylvain Bouillon, Jon Bergh, and Einar Ólason

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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 Pierre Rampal on behalf of the Authors (20 Apr 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (28 Apr 2016) by Dirk Notz
RR by Anonymous Referee #1 (10 May 2016)
RR by Anonymous Referee #3 (16 May 2016)
RR by Anonymous Referee #2 (27 May 2016)
ED: Publish subject to minor revisions (Editor review) (27 May 2016) by Dirk Notz
AR by Pierre Rampal on behalf of the Authors (22 Jun 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (04 Jul 2016) by Dirk Notz
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Short summary
Due to the increasing activity in Arctic, sea-ice–ocean models are now frequently used to produce operational forecasts, for oil spill trajectory modelling and to assist in offshore operations planning. In this study we evaluate the performance of two models with respect to their capability to reproduce observed sea ice diffusion properties by using metrics based on Lagrangian statistics. This paper presents a new and useful evaluation metric for current coupled sea ice–ocean models.