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Numerical Simulations of the Black Sea Hydrophysical Fields Below the Main Pycnocline: Validation by ARGO Data

  • N. V. MarkovaEmail author
  • O. A. Dymova
  • S. G. Demyshev
Conference paper
Part of the Springer Proceedings in Earth and Environmental Sciences book series (SPEES)

Abstract

Modeling of hydrophysical fields of the Black Sea for the one year period (2011) is carried out using the MHI z-coordinate nonlinear model with a spatial resolution of 1.6 km. Comparison of the simulation results with ARGO floats data shows a quite satisfactory agreement between the model and the measured parameters below the main pycnocline up to the maximum profiling depth of the floats equal to 1500 m in 2011. The greatest differences for temperature and salinity are in the seasonal thermocline, which is reproduced by the model a few meters deeper in comparison with the data of measurements. In most cases the shift of the thermocline reconstructed is the main reason of the discrepancy between the model and in-situ data in the upper layer. It is shown, that in the layer below 300 m, the circulation features are simulated in a quite sufficient agreement with ARGO data and allow us to describe the field of the deep Black Sea currents.

Keywords

Black Sea Modeling Circulation Deep currents Temperature Salinity ARGO 

Notes

Acknowledgments

The numerical experiment for 2011 was carried out with the support of RFBR (grant № 18-05-00353 A). The data comparison was carried out within the framework of the State assignment (theme № 0827-2018-0002).

References

  1. 1.
    Ostrovskii, A.G., Zatsepin, A.G., Soloviev, V.A., et al.: Autonomous system for vertical profiling of the marine environment at a moored station. Oceanology 53(2), 233–242 (2013)CrossRefGoogle Scholar
  2. 2.
    Arkhipkin, V.S., Kosarev, A.N., Gippius, F.N., Migali, D.I.: Seasonal variations of climatic fields of temperature, salinity and water circulation in the Black and Caspian seas. Moscow University Bulletin. Series 5: Geography 5, 33–44 (2013)Google Scholar
  3. 3.
    Lukyanova, A.N., et al: The Black Sea deep-water circulation research by results of numerical modeling and in-situ data: INMRAS model numerical experiment. In: Ecological Safety of Coastal and Shelf Zones of the Sea, vol. 3, pp. 9–14 (2016). (in Russian)Google Scholar
  4. 4.
    Demyshev, S.G., Dymova, O.A., Markova, N.V., et al.: Numerical experiments on modeling of the Black Sea deep currents. Phys. Oceanogr. 2, 38–50 (2016)Google Scholar
  5. 5.
    USGODAE ARGO Page. http://usgodae.org/argo/argo.html. Accessed 17 July 2018
  6. 6.
    Demyshev, S.G., Korotaev, G.K.: Numerical energy-balanced model of the baroclinic ocean currents on a C-grid. In: Numerical Models and Results of Calibration Calculations of Currents in the Atlantic Ocean, pp. 163–231. INM RAS, Moscow (1992). (in Russian)Google Scholar
  7. 7.
    Belokopytov, V.N., Khaliulin, A.K., Godin, E.A., et al.: Information products to study environmental threats and dangerous phenomena in the Black, Azov and Caspian seas. In: NATO Science for Peace and Security. Series C: Environmental Security, pp. 91–104 (2008)Google Scholar
  8. 8.
    NonHydrostatic SKIRON/Eta Modelling System Page. http://forecast.uoa.gr/forecastnewinfo.php. Accessed 18 July 2018
  9. 9.
    Korotaev, G.K., Knysh, V.V., Lishaev, P.N., et al.: Reanalysis of seasonal and interannual variability of Black Sea fields for 1993–2012. Izvestiya Atmos. Oceanic Phys. 52(4), 418–430 (2016)CrossRefGoogle Scholar
  10. 10.
    Demyshev, S., Knysh, V., Korotaev, G., Kubryakov, A., Mizyuk, A.: The MyOcean Black Sea from a scientific point of view. Mercator Ocean Q. Newsl. 39, 16–24 (2010). http://marine.copernicus.eu/wp-content/uploads/2016/06/r63_9_quarterly_letter-_issue_39.pdf. Accessed 31 July 2018Google Scholar
  11. 11.
    Mellor, G.L., Yamada, T.: Development of a turbulence close model for geophysical fluid problems. Rev. Geophys. Space Phys. 20, 851–875 (1982)CrossRefGoogle Scholar
  12. 12.
    Kubryakov, A.A., Stanichny, S.V.: Seasonal and interannual variability of the Black Sea eddies and its dependence on characteristics of the large-scale circulation. Deep-Sea Res. Part I Oceanogr. Res. Pap. 97, 80–91 (2015)CrossRefGoogle Scholar
  13. 13.
    Markova, N.V, Plastun, T.V.: Investigation of deep-water circulation of the Black Sea with the use of contact measurements. In: Proceedings of the II All-Russian Scientific Conference of Young Scientists on Complex studies of the World Ocean, pp. 169–170. IO RAS, Moscow (2017)Google Scholar
  14. 14.
    Korotaev, G., Oguz, T., Riser, S.: Intermediate and deep currents of the Black Sea obtained from autonomous profiling floats. Deep-Sea Res. II 53(17–19), 1901–1910 (2006)CrossRefGoogle Scholar
  15. 15.
    Markova, N.V., Bagaev, A.V.: Velocities of the Black Sea deep currents estimated from the profiling drifters Argo data. Phys. Oceanogr. 3, 23–35 (2016)Google Scholar
  16. 16.
    Demyshev, S.G., Ivanov, V.A., Markova, N.V.: Analysis of the Black Sea climatic fields below the main pycnocline obtained on the basis of assimilation of the archival data on temperature and salinity in the numerical hydrodynamic model. Phys. Oceanogr. 19(1), 1–12 (2009)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Marine Hydrophysical Institute RASSevastopolRussia

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