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

Related authors

Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications
Robinson Hordoir, Lars Axell, Anders Höglund, Christian Dieterich, Filippa Fransner, Matthias Gröger, Ye Liu, Per Pemberton, Semjon Schimanke, Helen Andersson, Patrik Ljungemyr, Petter Nygren, Saeed Falahat, Adam Nord, Anette Jönsson, Iréne Lake, Kristofer Döös, Magnus Hieronymus, Heiner Dietze, Ulrike Löptien, Ivan Kuznetsov, Antti Westerlund, Laura Tuomi, and Jari Haapala
Geosci. Model Dev., 12, 363–386, https://doi.org/10.5194/gmd-12-363-2019,https://doi.org/10.5194/gmd-12-363-2019, 2019
Short summary
Nutrient transports in the Baltic Sea – results from a 30-year physical–biogeochemical reanalysis
Ye Liu, H. E. Markus Meier, and Kari Eilola
Biogeosciences, 14, 2113–2131, https://doi.org/10.5194/bg-14-2113-2017,https://doi.org/10.5194/bg-14-2113-2017, 2017
Short summary

Related subject area

Depth range: All Depths | Approach: Data Assimilation | Geographical range: Baltic Sea | Phenomena: Temperature, Salinity and Density Fields
A pre-operational three Dimensional variational data assimilation system in the North/Baltic Sea
S. Y. Zhuang, W. W. Fu, and J. She
Ocean Sci., 7, 771–781, https://doi.org/10.5194/os-7-771-2011,https://doi.org/10.5194/os-7-771-2011, 2011

Cited articles

Adcroft, A. and Campin, J. M.: Re-scaled height coordinates for accurate representation of free-surface flows in ocean circulation model, Ocean Model., 7, 269–284, 2004. 
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. 
Download
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.