Sea ice assimilation into a coupled ocean–sea ice model using its adjoint

Koldunov, Nikolay V.; Köhl, Armin; Serra, Nuno; Stammer, Detlef

doi:https://doi.org/10.5194/tc-11-2265-2017

Articles | Volume 11, issue 5

https://doi.org/10.5194/tc-11-2265-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/tc-11-2265-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 11, issue 5

Research article

|

29 Sep 2017

Research article |

| 29 Sep 2017

Sea ice assimilation into a coupled ocean–sea ice model using its adjoint

Nikolay V. Koldunov, Armin Köhl, Nuno Serra, and Detlef Stammer

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Final revised paper (published on 29 Sep 2017)
Preprint (discussion started on 31 Jan 2017)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review comments on “Sea Ice Assimilation into a Coupled Ocean-Sea Ice Adjoint Model of the Arctic Ocean” by Koldunov et al.', Anonymous Referee #1, 23 Feb 2017
- AC1: 'Response to Reviewer 1', Nikolay V. Koldunov, 05 Jun 2017
RC2: 'Review Comments', Anonymous Referee #2, 13 Mar 2017
- AC2: 'Response to Reviewer 2', Nikolay V. Koldunov, 05 Jun 2017

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Nikolay V. Koldunov on behalf of the Authors (05 Jun 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (02 Jul 2017) by Christian Haas

RR by Anonymous Referee #2 (17 Jul 2017)

RR by Anonymous Referee #3 (17 Jul 2017)

ED: Publish subject to minor revisions (Editor review) (05 Aug 2017) by Christian Haas

AR by Nikolay V. Koldunov on behalf of the Authors (15 Aug 2017) Author's response Manuscript

ED: Publish as is (27 Aug 2017) by Christian Haas

Short summary

The paper describes one of the first attempts to use the so-called adjoint data assimilation method to bring Arctic Ocean model simulations closer to observation, especially in terms of the sea ice. It is shown that after assimilation the model bias in simulating the Arctic sea ice is considerably reduced. There is also additional improvement in the sea ice thickens representation that is not assimilated directly.