Articles | Volume 11, issue 5
https://doi.org/10.5194/tc-11-2265-2017
https://doi.org/10.5194/tc-11-2265-2017
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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
AR by Nikolay V. Koldunov on behalf of the Authors (29 Aug 2017)
Download
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.