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

Liu, Ye; Fu, Weiwei

doi:https://doi.org/10.5194/os-14-525-2018

Articles | Volume 14, issue 3

https://doi.org/10.5194/os-14-525-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/os-14-525-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 3

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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Final revised paper (published on 25 Jun 2018)
Preprint (discussion started on 13 Feb 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'major revision', Anonymous Referee #1, 27 Mar 2018
- AC1: 'Authors' reply to RC1', Ye Liu, 02 May 2018
- AC2: 'Revised manuscript', Ye Liu, 02 May 2018
RC2: 'Comments', Svetlana Losa, 09 Apr 2018
- AC3: 'Authors' reply to svetlana losa', Ye Liu, 02 May 2018
- AC4: 'Revised manuscript', Ye Liu, 02 May 2018

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

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.