Accuracy Estimation of the Black Sea Circulation Modeling Results Obtained at Different Bottom Topography

O. A. Dymova, N. A. Miklashevskaya

Marine Hydrophysical Institute, Russian Academy of Sciences, Sevastopol, Russian Federation

e-mail: olgadym@yahoo.com

Abstract

Purpose. Accuracy of the reconstructed hydrophysical fields calculated using different data on bottom topography is estimated in order to determine the depth array corresponding to the modern tasks of the Black Sea circulation modeling with high spatial resolution.

Methods and Results. Two numerical experiments on modeling the circulation were carried out based on the Marine Hydrophysical Institute, Russian Academy of Sciences (MHI RAS) ocean model. Horizontal resolution was 1.6 km, 27 irregular z-horizons were preset vertically and the SKIRON/Eta data (2011) were used as the atmospheric forcing for both cases. Difference between the experiments consisted in application of different bathymetry. In the first experiment, the bottom topography was preset in accordance with the Black Sea depths from the MHI Ocean Data Bank with the 5-minute resolution; in the second one – based on the European Marine Observation and Data Network (EMODnet) depth array with the 1/8ꞌ resolution. The calculated hydrophysical fields were compared with the temperature and salinity measurements, and satellite images of the sea surface temperature. The analysis showed that application of the depths data of higher resolution permitted to improve accuracy of thermohydrodynamic characteristics of the Black Sea circulation in the 30–300 m layer. The integral values of the eddy kinetic energy and the mean current kinetic energy for two experiments were also considered for both of the experiments. The results of the comparative analysis demonstrate the fact that, at the bottom topography with higher resolution taken into account, in the simulated system the mechanisms of energy redistribution between currents and eddies changed during intensive storm impacts.

Conclusions. The results of the present research permit to conclude that in the experiment with a smoother bottom relief, increase of kinetic energy both of the eddies and currents was due to barotropic instability. In case of more complex bathymetry, the eddy kinetic energy increased mainly owing to the processes associated with baroclinic instability.

Keywords

Black Sea, modeling, bathymetry, EMODnet, in situ data, current, eddy, kinetic energy

Acknowledgements

The authors are grateful to the reviewers for their helpful comments. Experiment 1 and comparative analyses were performed in the framework of the state task № 0827-2019-0003 “Fundamental study of oceanological processes conditioning state and evolution of marine environment under effect of anthropogenic factors based on observational and modeling methods”. The EMODnet data adaptation for the MHI-model and experiment 2 were carried out under support of the Russian Foundation for Basic Research (project No. 18-05-00353 A).

Original russian text

Original Russian Text © O. A. Dymova, N. A. Miklashevskaya, 2019, published in MORSKOY GIDROFIZICHESKIY ZHURNAL, Vol. 35, Iss. 4, pp. 341–354 (2019)

For citation

Dymova, O.A. and Miklashevskaya, N.A., 2019. Accuracy Estimation of the Black Sea Circulation Modeling Results Obtained at Different Bottom Topography. Physical Oceanography, 26(4), pp. 304-315. doi:10.22449/1573-160X-2019-4-304-315

DOI

10.22449/1573-160X-2019-4-304-315

References

  1. Korotaev, G.K., Sarkisyan, A.S., Knysh, V.V. and Lishaev, P.N., 2016. Reanalysis of Seasonal and Interannual Variability of Black Sea Fields for 1993-2012. Izvestiya, Atmospheric and Oceanic Physics, [e-journal] 52(4), pp. 418-430. doi:10.1134/S0001433816040071
  2. Dorofeev, V.L. and Sukhikh, L.I., 2017. Modeling of Long-Term Evolution of Hydrophysical Fields of the Black Sea. Oceanology, [e-journal] 57(6), pp. 784-796. doi:10.1134/S0001437017060017
  3. Demyshev, S.G., 2012. A Numerical Model of Online Forecasting Black Sea Currents. Izvestiya, Atmospheric and Oceanic Physics, [e-journal] 48(1), pp. 120-132. doi:10.1134/S0001433812010021
  4. Zhuk, Е., Khaliulin, A., Zodiatis, G., Nikolaidis, A., Isaeva E., 2016. Black Sea GIS developed in MHI. In: Proceedings of SPIE 9688, Fourth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2016). Cyprus, 4-8 April, 2016. 96881C. doi:10.1117/12.2241631
  5. Demyshev, S.G., Korotaev, G.K. and Knysh, V.V., 2004. Modeling the Seasonal Variability of the Temperature Regime of the Black Sea Active Layer. Izvestiya, Atmospheric and Oceanic Physics, 40(2), pp. 227-237.
  6. Dymova, O.A., 2017. Modeling of the Meso- and Submesoscale Dynamic Processes in the Black Sea Coastal Zones. Transactions of KarRC RAS, (8), pp. 21-30. doi:10.17076/mat585 (in Russian).
  7. Demyshev, S.G. and Evstigneeva, N.A., 2016. Modeling Meso- and Sub-Mesoscale Circulation Along the Eastern Crimean Coast Using Numerical Calculations. Izvestiya, Atmospheric and Oceanic Physics, [e-journal] 52(5), pp. 560-569. doi:10.1134/S0001433816050042
  8. Lyubartsev, V., Lyubartseva, S., Pinardi, N., Palzov, A., Slabakova, V., Stefanova, E., Stefanova, K., Raykov, V. and Stanchev, H. [et al.], 2018. Black Sea Checkpoint: Second Data Adequacy Report. EMODnet, 163 p. Available at: http://www.emodnet.eu/sites/emodnet.eu/files/public/Checkpoints/SecondDAR_BlackSea.pdf [Accessed: 5 January 2019].
  9. Dumnov, A.D., Kirsanov, A.A., Kiseleva, E.A., Lipiyaynen, K.L., Rybal'skiy, N.G., Snakin, V.V., Afanas'ev, A.N., Borisova, O.K. and Velichko, A.A. [et al.], 2007. [National Atlas of Russia. Volume 2. Nature. Ecology]. Moscow: Kartografiya, 496 p. (in Russian).
  10. Mamaev, O.I., 1963. [Oceanographic Analysis in the System α-S-T-p]. Moscow: MSU, 228 p. (in Russian).
  11. Ibraev, R.A., 2001. A Study of the Sensitivity of the Model of the Black Sea Current Dynamics to the Surface Boundary Conditions. Oceanology, 41(5), pp. 615-621.
  12. Mellor, G.L. and Yamada T., 1982. Development of a Turbulence Closure Model for Geophysical Fluid Problems. Reviews of Geophysics, [e-journal] 20(4), pp. 851-875. doi:10.1029/RG020i004p00851
  13. Al'tman, E.N. and Simonov, A.I., eds., 1991. [Hydrometeorology and Hydrochemistry of the USSR Seas. Volume 4. The Black Sea. Release 1. Hydrometeorological Conditions]. Saint-Petersburg: Gidrometeoizdat, 429 p. (in Russian).
  14. Arakawa, A. and Lamb, V.R., 1981. A Potential Enstrophy and Energy Conserving Scheme for the Shallow Water Equations. Monthly Weather Review, [e-journal] 109(1), pp. 18-36. doi:10.1175/1520-0493(1981)109<0018:APEAEC>2.0.CO;2
  15. Demyshev, S.G., Ivanov, V.A. and Markova, N.V., 2009. 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. Physical Oceanography, [e-journal] 19(1), pp. 1-12. doi:10.1007/s11110-009-9034-x
  16. Hernandez, F., Crosnier, L., Kamachi, M., Maes, C., Oke, P. and Verbrugge, N., 2006. List of Internal Metrics for the MERSEA-GODAE Global Ocean: Specification for Implementation. MERSEA, 71 p. Available at: http://www.clivar.org/sites/default/files/documents/wgomd/GODAE_MERSEA-report.pdf [Accessed: 5 January 2019].
  17. Chelton, D.B., 2001. Overview of the High-Resolution Ocean Topography: Science Working Group Meeting. In: D. B. Chelton, ed., 2001. Report of the High-Resolution Ocean Topography: Science Working Group Meeting. Corvallis, Oregon: Oregon State University, p. 1-19. Available at: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.582.3299&rep=rep1&type=pdf [Accessed: 5 January 2019].
  18. von Storch, J.-S., Eden, C., Fast, I., Haak, H., Hernández-Deckers, D., Maier-Reimer, E., Marotzke, J. and Stammer, D., 2012. An Estimate of the Lorenz Energy Cycle for the World Ocean Based on the 1/10° STORM/NCEP Simulation. Journal of Physical Oceanography, [e-journal] 42(12), pp. 2185-2205. doi:10.1175/JPO-D-12-079.1

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