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Ocean Science An interactive open-access journal of the European Geosciences Union
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OS | Articles | Volume 14, issue 3
Ocean Sci., 14, 525–541, 2018
https://doi.org/10.5194/os-14-525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Ocean Sci., 14, 525–541, 2018
https://doi.org/10.5194/os-14-525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 25 Jun 2018

Research article | 25 Jun 2018

Assimilating high-resolution sea surface temperature data improves the ocean forecast potential in the Baltic Sea

Ye Liu and Weiwei Fu
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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 Ye Liu on behalf of the Authors (03 May 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 May 2018) by Neil Wells
RR by Svetlana Losa (06 Jun 2018)
ED: Publish subject to minor revisions (review by editor) (06 Jun 2018) by Neil Wells
AR by Ye Liu on behalf of the Authors (08 Jun 2018)  Author's response    Manuscript
ED: Publish as is (11 Jun 2018) by Neil Wells
Publications Copernicus
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Short summary
We assess the impact of assimilating the SST data on the Baltic forecast potential. By assimilating SST, we find the quality of SST forecast is significantly enhanced. The temperature in water above 100 m and salinity in the deep layers have been also largely and slightly improved, respectively. In comparison with independent data, the SLA is better predicted because of assimilating SST. Besides, the forecast of sea-ice concentration is improved considerably during the sea-ice formation period.
We assess the impact of assimilating the SST data on the Baltic forecast potential. By...
Citation