Articles | Volume 17, issue 1
https://doi.org/10.5194/os-17-91-2021
https://doi.org/10.5194/os-17-91-2021
Research article
 | 
14 Jan 2021
Research article |  | 14 Jan 2021

Data assimilation of sea surface temperature and salinity using basin-scale reconstruction from empirical orthogonal functions: a feasibility study in the northeastern Baltic Sea

Mihhail Zujev, Jüri Elken, and Priidik Lagemaa

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Cited articles

Alenius, P., Myrberg, K., and Nekrasov, A.: The physical oceanography of the Gulf of Finland: a review, Boreal Environ. Res., 3, 97–125, 1998. 
Andersen, J. H., Carstensen, J., Conley, D. J., Dromph, K., Fleming-Lehtinen, V., Gustafsson, B. G., Josefson, A. B., Norkko, A., Villnäs, A., and Murray, C.: Long-term temporal and spatial trends in eutrophication status of the Baltic Sea, Biol. Rev., 92, 135–149, https://doi.org/10.1111/brv.12221, 2017. 
Axell, L. and Liu, Y.: Application of 3-D ensemble variational data assimilation to a Baltic Sea reanalysis 1989–2013, Tellus A, 68, 24220, https://doi.org/10.3402/tellusa.v68.24220, 2016. 
Berg, P. and Poulsen, J. W.: Implementation details for HBM, DMI Technical report No. 12–11, Copenhagen, 2012. 
Buizza, R., Brönnimann, S., Haimberger, L., Laloyaux, P., Martin, M. J., Fuentes, M., Alonso-Balmaseda, M., Becker, A., Blaschek, M., Dahlgren, P., and De Boisseson, E.: The EU-FP7 ERA-CLIM2 project contribution to advancing science and production of earth system climate reanalyses, B. Am. Meteorol. Soc., 99, 1003–1014, https://doi.org/10.1175/BAMS-D-17-0199.1, 2018. 
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Short summary
The proposed method of data assimilation is capable of effectively correcting basin-scale mismatch of oceanographic models when the domain is under nearly coherent external forcing. The method uses basin-scale EOF modes, calculated from the long-term model statistics. These modes are used to reconstruct gridded fields from point observations, which are further fed to the model using relaxation. Tests with sea surface temperature and salinity in the NE Baltic Sea were successful.
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