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Reconstruction of Hydrophysical Fields in the Coastal Region of the Black Sea on the Basis of Hydrodynamic Model with Assimilation of Observational Data

  • Demyshev Sergei
  • Evstigneeva Natalia
Conference paper
Part of the Springer Geology book series (SPRINGERGEOL)

Abstract

Hydrophysical fields, continuous in time and space, were reconstructed in the coastal region of the Black Sea (a western coast of the Crimea and a north-western shelf of the Black sea) on the basis of the three-dimensional nonlinear hydrodynamic model and the observational data of temperature and salinity on the research vessel “Experiment” from 16 to 22 of September, 2007. A sequential optimal interpolation of observational data of temperature and salinity was used as an assimilation procedure. A real atmospheric forcing and a high resolution (horizontal grid ~1.6 × 1.6 km and 30 vertical layers from 1 m to 1300 m) were used in the calculation. Mesoscale features of currents and thermohaline fields in the coastal zone of the Black Sea were investigated, the coastal upwelling in the Kalamitsky Bay was reconstructed, registered in satellite observations. The influence of the assimilation of observational data on the accuracy of the calculated fields of temperature and salinity was estimated.

Keywords

Numeral modeling Spatial high resolution Coastal area Black Sea Assimilation of data observation Hydrophysical fields Mezoscale features of circulation 

References

  1. 1.
    Demyshev, S.G., Korotaev, G.K.: Numerical energy-balanced model of baroclinic currents of the ocean on the C-grid. In: Numerical Models and Results of Calibration Calculations of Currents in the Atlantic Ocean, pp. 163–231 (1992). (in Russian)Google Scholar
  2. 2.
    Evstigneeva, N.A.: Numerical analysis of the circulation in the coastal zone of the Black Sea on the basis of the hydrodynamic model with the assimilation of observational data. Abstract of the thesis for the degree of candidate of physical and mathematical sciences, Sevastopol (2014). (in Russian)Google Scholar
  3. 3.
    Suvorov, A.M., Andryushchenko, E.G., Godin, E.A., Ingerov, A.V., Kasyanenko, T.E., Plastun, T.V., Khaliulin, A.K.: The bank of oceanological data of the MHI NASU: content and structure of databases, database management system. Environ. Monit. Syst. 130–137 (2003). (in Russian) Google Scholar
  4. 4.
    Pacanowski, R.C., Philander, S.G.H.: Parameterization of vertical mixing in numerical models of tropical oceans. J. Phys. Oceanogr. 11(11), 1443–1451 (1981)ADSCrossRefGoogle Scholar
  5. 5.
    Ratner, Y.B., Martynov, M.V., Bayankina, T.M., Borodin, S.V.: Information flows in the real-time system of rapid monitoring of hydrophysical fields of the Black Sea and automation of their processing. Environ. Control Syst. 140–149 (2005). (in Russian)Google Scholar
  6. 6.
    Knysh, V.V., Moiseenko, V.A., Sarkisyan, A.S., Timchenko, I.E.: Complex use of measurements at the hydrophysical ocean polygons in four-dimensional analysis. Rep. AS USSR 252(4), 832–836 (1970). (in Russian)Google Scholar
  7. 7.
    Sarkisyan, A.S., Knysh, V.V., Demyshev, S.G.: Multielement four-dimensional analysis of hydrophysical fields on the basis of dynamic-stochastic models. The results of science and technology. Atmos. Ocean Space 9, 5–64 (1987). (in Russian)Google Scholar
  8. 8.
    Demyshev, S.G., Knysh, V.V.: Model numerical experiments of evaluation the validity of a four-dimensional analysis of the main physical ocean fields. Theory Oceanic Process. 61–69 (1981). (in Russian)Google Scholar
  9. 9.
    Knysh, V.V.: Hydrothermodynamic ocean models in the algorithm of the multielement four-dimensional analysis of hydrophysical fields: a thesis for a scientific degree of doctor of science (1981). (in Russian)Google Scholar
  10. 10.
    Sarkisyan, A.S.: Numerical analysis and forecast of sea currents. L.: Gidrometeoizdat (1997). (in Russian)Google Scholar
  11. 11.
    Gandin, L.S., Kagan, R.L.: Statistical methods for the interpretation of meteorological data. L.: Gidrometeoizdat (1976). (in Russian)Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Marine Hydrophysical Institute RASSevastopolRussian Federation

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