Ocean Dynamics (2019) 69:1217–1237 1235
below a specified depth, the assimilation was stabilised in
the North Sea. However, in the Baltic, unrealistically high
concentrations even appeared with a vertical localisation
that only changed the upper 5 m (3 model layers).
The results from the weakly coupled assimilation show
that in the North and Baltic Seas the assimilation of
only SST data can improve the oxygen concentrations.
This improvement is even larger for the strongly coupled
assimilation because of the correlation between temperature
and oxygen concentrations. The effect on other BGC model
fields was small, but there was no obvious deterioration.
This is in contrast to other studies that performed physical
data assimilation in the North Atlantic (Berline et al.
2007) or the California Current System (Raghukumar et al.
2015). The application of the strongly coupled assimilation
with actual BGC concentrations showed that the cross-
covariances between the SST and the BGC fields only lead
to changes that were small compared to the errors in the
BGC fields. The limited in situ data was not sufficient to
provide a clear result whether the changes to the BGC fields
are significant.
The differences in the strongly coupled assimilation
using actual concentrations compared to logarithmic con-
centrations showed a clear advantage of actual concentra-
tions. The assimilation using actual concentrations lead to
a more stable assimilation process and more realistic model
fields while with logarithmic concentrations unrealistic val-
ues were obtained. The application of a vertical localisation
leads to a clear improvement, but did not solve the issue of
unrealistic concentrations in the Baltic Sea. Further, updat-
ing only nutrients and oxygen improved the results. To this
end, the experiments indicate that for the strongly cou-
pled assimilation between model physics and BGC model
variables, the actual concentrations should be used.
Acknowledgements This work was carried out within the project
MeRamo by the German Federal Ministry of Transportation and
Digital Infrastructure (BMVI) through the German Aerospace Center
(DLR). We thank the German Oceanographic Data Center and
International Council for the Exploration of the Sea (ICES Dataset on
Ocean Hydrography. The International Council for the Exploration of
the Sea, Copenhagen. 2016) for providing the in situ data.
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