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Ocean Science An interactive open-access journal of the European Geosciences Union
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Volume 12, issue 4 | Copyright
Ocean Sci., 12, 987-1001, 2016
https://doi.org/10.5194/os-12-987-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 22 Aug 2016

Research article | 22 Aug 2016

Effects of lateral processes on the seasonal water stratification of the Gulf of Finland: 3-D NEMO-based model study

Roman E. Vankevich1,2, Ekaterina V. Sofina1,2, Tatiana E. Eremina1, Vladimir A. Ryabchenko2, Mikhail S. Molchanov1, and Alexey V. Isaev1,2 Roman E. Vankevich et al.
  • 1Russian State Hydrometeorological University, Saint Petersburg, Russia
  • 2The St. Petersburg Branch of the P.P.Shirshov Institute of Oceanology of the Russian Academy of Sciences, Saint Petersburg, Russia

Abstract. This paper aims to fill the gaps in knowledge of processes affecting the seasonal water stratification in the Gulf of Finland (GOF). We used a state-of-the-art modelling framework NEMO (Nucleus for European Modelling of the Ocean) designed for oceanographic research, operational oceanography, seasonal forecasting, and climate studies to build an eddy-resolving model of the GOF. To evaluate the model skill and performance, two different solutions were obtained on 0.5km eddy-resolving and commonly used 2km grids for a 1-year simulation. We also explore the efficacy of non-hydrostatic effect (convection) parameterizations available in NEMO for coastal application. It is found that the solutions resolving submesoscales have a more complex mixed layer structure in the regions of the GOF directly affected by the upwelling/downwelling and intrusions from the open Baltic Sea. Presented model estimations of the upper mixed layer depth are in good agreement with in situ CTD (BED) data. A number of model sensitivity tests to the vertical mixing parameterization confirm the model's robustness. Further progress in the submesoscale process simulation and understanding is apparently not connected mainly with the finer resolution of the grids, but with the use of non-hydrostatic models because of the failure of the hydrostatic approach at submesoscale.

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