Articles | Volume 17, issue 1
https://doi.org/10.5194/os-17-91-2021
https://doi.org/10.5194/os-17-91-2021
Research article
 | 
14 Jan 2021
Research article |  | 14 Jan 2021

Data assimilation of sea surface temperature and salinity using basin-scale reconstruction from empirical orthogonal functions: a feasibility study in the northeastern Baltic Sea

Mihhail Zujev, Jüri Elken, and Priidik Lagemaa

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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 Jüri Elken on behalf of the Authors (27 Aug 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Sep 2020) by Markus Meier
RR by Anonymous Referee #2 (02 Oct 2020)
RR by Anonymous Referee #4 (28 Oct 2020)
ED: Publish subject to minor revisions (review by editor) (31 Oct 2020) by Markus Meier
AR by Jüri Elken on behalf of the Authors (05 Nov 2020)  Author's response    Manuscript
ED: Publish as is (08 Nov 2020) by Markus Meier
AR by Jüri Elken on behalf of the Authors (08 Nov 2020)  Author's response    Manuscript
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Short summary
The proposed method of data assimilation is capable of effectively correcting basin-scale mismatch of oceanographic models when the domain is under nearly coherent external forcing. The method uses basin-scale EOF modes, calculated from the long-term model statistics. These modes are used to reconstruct gridded fields from point observations, which are further fed to the model using relaxation. Tests with sea surface temperature and salinity in the NE Baltic Sea were successful.