Articles | Volume 14, issue 3
https://doi.org/10.5194/os-14-525-2018
https://doi.org/10.5194/os-14-525-2018
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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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
AR by Ye Liu on behalf of the Authors (11 Jun 2018)
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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.