Wave Climate of the Coastal Zone of the Crimean Peninsula

B. V. Divinsky, R. D. Kosyan

Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russian Federation

e-mail: divin@ocean.ru

Abstract

The main goal of the present paper is to assess climatic features of the wind wave and swell distribution in the coastal zone of the Crimean Peninsula. Method of research is the mathematical modeling. The modern spectral wave model DHI MIKE 21 SW is used. The model was preliminary calibrated for the purpose of correct dividing the mixed surface waves into the components corresponding to pure wind waves and swell. The basic calibration parameters are the coefficients conditioning numerical interpretation of the energy dissipation processes resulting from white-capping (wave breaks in deep water). The research has resulted in creating a database of integral parameters of the wind waves and swell in the Black Sea for 1979–2016 with the 1-hour time resolution. The features of spatial distribution of the wind wave and swell powers, and also some statistical characteristics of wave variability are analyzed for the sea areas adjacent to the Crimean coast. It is shown that the swell contribution to the total wave energy of the surface waves increases from the western coast of the Crimea Peninsula towards the eastern one. Nearby the western coast, the swell contribution (in the average annual balance) constitutes about 15%, whereas nearby the southeastern one it exceeds 30%.

Keywords

mathematical modeling, DHI MIKE 21 SW model, wind waves, swell, climate

Acknowledgements

Statement of the task was carried out within the framework of the program 0149-2018-0013, the experimental data analysis – owing to the RSF financial support (Project No. 14-17-00547), mathematical simulation and computational part – with the support of RFBR grants (Projects No. 16-45-230781 and No. 17-05-00183).

Original russian text

Original Russian Text © B. V. Divinsky, R. D. Kosyan, 2018, published in MORSKOY GIDROFIZICHESKIY ZHURNAL, Vol. 34, Iss. 2, pp. 101–110 (2018)

For citation

Divinsky, B.V. and Kosyan, R.D., 2018. Wave Climate of the Coastal Zone of the Crimean Peninsula. Physical Oceanography, 25(2), pp. 93-101. doi:10.22449/1573-160X-2018-2-93-101

DOI

10.22449/1573-160X-2018-2-93-101

References

  1. Resio, D., Bratos, S. and Thompson, E., 2002. Meteorology and Wave Climate. In: Coastal Engineering Manual. Part II: Hydrodynamics. Chapter II-2: Engineer Manual 1110-2-1100. Washington, DC: U.S. Army Corps of Engineers, 72 p. Available at: http://coastalengineeringmanual.tpub.com/Part-II-Chap2/ [Accessed 10 November 2017].
  2. Dee, D., Uppala, S., Simmons, A., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M.A., Balsamo, G. [et al.], 2011. The ERA-Interim Reanalysis: Configuration and Performance of the Data Assimilation System. Q.J.R. Meteorol. Soc., 137(656), pp. 553-597. doi:10.1002/qj.828
  3. Semedo, A., Sušelj, K., Rutgersson, A. and Sterl, A., 2011. A Global View on the Wind Sea and Swell Climate and Variability from ERA-40. Journal of Climate, [e-journal] 24(5), pp. 1461-1479. doi:10.1175/2010JCLI3718.1
  4. Zheng, K., Sun, J., Guan, C. and Shao, W., 2016. Analysis of the Global Swell and Wind Sea Energy Distribution Using WAVEWATCH III. Advances in Meteorology, 2016, Article ID 8419580, p. 9. doi:10.1155/2016/8419580
  5. Portilla, J., Caicedo, A., Padilla-Hernández, R. and Cavaleri, L., 2015. Spectral Wave Conditions in the Colombian Pacific Ocean. Ocean Modelling, 92, pp. 149-168. doi:10.1016/j.ocemod.2015.06.005
  6. Zheng, C.W. and Li., C.Y., 2017. Analysis of Temporal and Spatial Characteristics of Waves in the Indian Ocean Based on ERA-40 Wave Reanalysis. Applied Ocean Research, 63, pp. 217-228. doi:10.1016/j.apor.2017.01.014
  7. Boukhanovsky, A.V. and Lopatoukhin, L.I., 2015. Statistica Shtormov na Morskikh Akvatoriyakh (Alternativniy Podkhod) [Storms Statistics at Sea (Alternative Approach)]. Fundamentalnaya i Prikladnaya Gidrofizika = Fundamental and Applied Hydrophysics, 8(4), pp. 86-91 (in Russian).
  8. Kos'yan, R.D., Divinsky, B.V. and Pushkarev, O.V., 1998. Measurements of Parameters of Wave Processes in the Open Sea near Gelendzhik. In: The Eight Workshop of NATO TU-WAVES/Black Sea. Ankara, Turkey: METU, pp. 5-6.
  9. Berkün, U., 2007. Wind and Swell Wave Climate for the Southern Part of Black Sea: Thesis. Ankara, Turkey: Graduate School of Natural and Applied Sciences of METU, 141 p. Available at: https://etd.lib.metu.edu.tr/upload/12608139/index.pdf [Accessed 10 October 2017].
  10. Van Vledder, G.P. and Akpnar, A., 2016. Spectral Partitioning and Swells in the Black Sea. In: ICCE, 2016. Proceedings of the 35th International Conference on Coastal Engineering: Antalya, Turkey, 17–20 November. Vol. 35, pp. 199–212. Available at: https://repository.tudelft.nl/islandora/object/uuid:5c966d7f-de6a-4346-8658-14ec90e9728e [Accessed 10 October 2017].
  11. DHI, 2017. MIKE 21, Spectral Wave Module. Scientific Documentation. Hørsholm: DHI headquarters. Available at: http://manuals.mikepoweredbydhi.help/2017/Coast_and_Sea/M21SW_Scientific_Doc.pdf [Accessed 10 October 2017].
  12. Divinsky, B.V. and Kosyan, R.D., 2017. Spatiotemporal Variability of the Black Sea Wave Climate in the Last 37 Years. Continental Shelf Research, 136, pp. 1-19. doi:10.1016/j.csr.2017.01.008
  13. Siadatmousavi, S.M., Jose, F. and Stone, G.W., 2011. Evaluation of Two WAM White Capping Parameterizations Using Parallel Unstructured SWAN with Application to the Northern Gulf of Mexico, USA. Applied Ocean Research, 33(1), pp. 23-30. doi:10.1016/j.apor.2010.12.002
  14. Christie, D., Vögler, A., Morrison, J., Greenwood, C., Venugopal, V. and Topper, M., 2014. The Hebridean Wave Model. In: Proc. of the 2nd International Conference on Environmental Interactions of Marine Renewable Energy Technologies (EIMR2014). 28 April – 02 May. Stornoway, Isle of Lewis, Outer Hebrides, Scotland. Available at: https://tethys.pnnl.gov/sites/default/files/attachments/EIMR2014_723_Christie.pdf [Accessed 10 October 2017].
  15. Bidlot, J., 2001. ECMWF wave-model products. In: ECMWF, 2001. ECMWF Newsletter, No. 9. Berkshire: ECMWF, pp. 9–15. Available at: https://www.ecmwf.int/sites/default/files/elibrary/2001/14633-newsletter-no91-summer-2001.pdf [Accessed 10 October 2017].

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