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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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Cited articles  
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Alenius, P. A., Nekrasov, A., and Myrberg, K.: Variability of the baroclinic Rossby radius in the Gulf of Finland, Cont. Shelf Res., 23, 563–573, 2003. 
Beckmann, A. and Döscher, R.: A method for improved representation of dense water spreading over topography in geopotential-coordinate models, J. Phys. Oceanogr., 27, 581–591, 1997. 
Brisson, A., Le Borgne, P., and Marsouin, A.: Results of one year of preoperational production of sea surface temperatures from GOES-8, J. Atmos. Ocean. Tech., 19, 1638–1652, 2002. 
Dahlgren, P., Kållberg, P., Landelius, T., and Undén, P.: EURO4M Project Report, D2.9 Comparison of the Regional Reanalyses Products with Newly Developed and Existing State-of-the Art Systems, Technical Report, available at: http://www.euro4m.eu/Deliverables.html (last access: 10 June 2018), 2014. 
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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...
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