Theoretical Calculations of Sea Surface Elevation Excess Kurtosis

A. V. Garmashov, A. S. Zapevalov*

Marine Hydrophysical Institute of RAS, Sevastopol, Russia

* e-mail: sevzepter@mail.ru

Abstract

The excess kurtosis of sea surface elevation is a predictor of rogue waves. This paper verifies the dependencies of excess kurtosis on wave steepness ε and inverse wave age ζ, obtained for the JONSWAP wave spectrum. For verification, the paper uses data from in situ wave measurements conducted from a stationary oceanographic platform located in the coastal zone of the Black Sea. It is shown that in a real sea wave field, the excess kurtosis changes within significantly wider limits than those described by both model dependencies. The correlation coefficient between λ4E and ε is 0.06, and between λ4E and ζ is 0.05. The model dependence of λ4E on steepness ε is close to the linear regression constructed for wind waves, i. e., it allows describing only its average changes. The model dependence of excess kurtosis on inverse wave age overestimates its average values; the overestimation is approximately 0.1 and depends on ζ. Thus, the dependencies of the excess kurtosis of sea surface elevation on wave steepness and inverse wave age, constructed on the basis of the JONSWAP spectrum, do not allow describing the entire range of excess kurtosis changes in a real wave field. Rogue waves are observed in the sea when λ4E exceeds the threshold level of 0.6–0.7, while the maximum model values of excess kurtosis at the limiting Stokes wave steepness do not exceed the level of 0.3.

Keywords

wind wave modelling, excess kurtosis, surface wave spectrum, wave steepness, inverse wave age, Black Sea, JONSWAP spectrum, rogue waves

Acknowledgments

The work was carried out under state assignment FNNN-2024-0001 “Fundamental research of the processes determining the flows of matter and energy in the marine environment and at its borders, the state and evolution of the physical and biogeochemical structure of marine systems in modern conditions” and FNNN-2024-0014 “Fundamental studies of interaction processes in the sea–air system that form the physical state variability of the marine environment at various spatial and temporal scales”.

For citation

Garmashov, A.V. and Zapevalov, A.S., 2025. Theoretical Calculations of Sea Surface Elevation Excess Kurtosis. Ecological Safety of Coastal and Shelf Zones of Sea, (4), pp. 64–75.

References

  1. Grigorieva, V.G., Gulev, S.K. and Sharmar, V.D., 2020. Validating Ocean Wind Wave Global Hindcast with Visual Observations from VOS. Oceanology, 60(1), pp. 9–19. https://doi.org/10.1134/S0001437020010130
  2. Mikhailichenko, S.Yu., Garmashov, A.V. and Fomin, V.V., 2016. Verification of the Swan Wind Waves Model by Observations on the Stationary Oceanographic Platform of the Black Sea Hydrophysical Polygon of RAS. Ecological Safety of Coastal and Shelf Zones of Sea, (2), pp. 52–57 (in Russian).
  3. Stopa, J.E. and Cheung, K.F., 2014. Intercomparison of Wind and Wave Data from the ECMWF Reanalysis Interim and the NCEP Climate Forecast System Reanalysis. Ocean Model, 75, pp. 65–83. https://doi.org/10.1016/j.ocemod.2013.12.006
  4. Stopa, J.E., Ardhuin, F., Bababin, A.V. and Zieger, S., 2016. Comparison and Validation of Physical Wave Parameterizations in Spectral Wave Models. Ocean Model, 103, pp. 2–17. https://doi.org/10.1016/j.ocemod.2015.09.003
  5. Longuet-Higgins, M.S., 1957. The Statistical Analysis of a Random, Moving Surface. Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 249(966), pp. 321–387. https://doi.org/10.1098/rsta.1957.0002
  6. Goda, Y., 2000. Random Seas and Design of Maritime Structures. Singapore: World Scientific Publishing Co., 443 p.
  7. Babanin, A.V. and Polnikov, V.G., 1995. On Non-Gaussian Wind Waves. Physical Oceanography, 6(3), pp. 241–245. https://doi.org/10.1007/BF02197522
  8. Guedes Soares, C., Cherneva, Z. and Antão E.M., 2004. Steepness and Asymmetry of the Largest Waves in Storm Sea states. Ocean Engineering, 31(8-9), pp. 1147–1167. https://doi.org/10.1016/J.OCEANENG.2003.10.014
  9. Zapevalov, A.S. and Garmashov, A.V., 2021. Skewness and Kurtosis of the Surface Wave in the Coastal Zone of the Black Sea. Physical Oceanography, 28(4), pp. 414–425. https://doi.org/10.22449/1573-160X-2021-4-414-425
  10. Zapevalov, A.S. and Garmashov, A.V., 2022. The Appearance of Negative Values of the Skewness of Sea-Surface Waves. Izvestiya, Atmospheric and Oceanic Physics, 58(3), pp. 263–269. https://doi.org/10.1134/s0001433822030136
  11. Stansell, P., 2004. Distributions of Freak Wave Heights Measured in the North Sea. Applied Ocean Research, 26(1-2), pp. 35–48. https://doi.org/10.1016/j.apor.2004.01.004
  12. Annenkov, S.Y. and Shrira, V.I., 2013. Large-Time Evolution of Statistical Moments of Wind-Wave Fields. Journal of Fluid Mechanics, 726, pp. 517–546. https://doi.org/10.1017/jfm.2013.243
  13. Kharif, C., Pelinovsky, E. and Slunyaev, A., 2009. Rogue Waves in the Ocean. Advances in Geophysical and Environmental Mechanics and Mathematics. Berlin; Heidelberg: Springer, 216 p. https://doi.org/10.1007/978-3-540-88419-4
  14. Tomita, H. and Kawamura, T., 2000. Statistical Analysis and Inference from the In Situ Data of the Sea of Japan with Reference to Abnormal and/or Freak Waves. In: ISOPE, 2000. Proceedings of 10th ISOPE Conference. May 28 – June 2, 2000. Seattle, USA. The International Society of Offshore and Polar Engineers, ISOPE-I-00-232.
  15. Ivanov, V.A., Dulov, V.A., Kuznetsov, S.Yu., Dotsenko, S.F., Shokurov, M.V., Saprykina, Y.V., Malinovsky, V.V. and Polnikov, V.G., 2012. Risk Assessment of Encountering Killer Waves in the Black Sea. Geography, Environment, Sustainability, 5(1), pp. 84–111. https://doi.org/10.24057/2071-9388-2012-5-1-84-111
  16. Zapevalov, A.S. and Garmashov, A.V., 2022. Probability of the Appearance of Abnormal Waves in the Coastal Zone of the Black Sea at the Southern Coast of Crimea. Ecological Safety of the Coastal and Shelf Zones of the Sea, (3), pp. 6–15.
  17. Annenkov, S.Y. and Shrira, V.I., 2009. Evolution of Kurtosis for Wind Waves. Geophysical Research Letters, 36(13), L13603. https://doi.org/10.1029/2009GL038613
  18. Annenkov, S.Y. and Shrira, V.I., 2013. Large-Time Evolution of Statistical Moments of Wind-Wave Fields. Journal of Fluid Mechanics, Vol. 726, pp. 517–546. https://doi.org/10.1017/jfm.2013.243
  19. Mori, N., Onorato, M. and Janssen, P.A.E.M., 2011. On the Estimation of the Kurtosis in Directional Sea States for Freak Wave Forecasting. Journal of Physical Oceanography, 41(8), pp. 1484–1497. https://doi.org/10.1175/2011JPO4542.1
  20. Janssen, P.A.E.M., 2003. Nonlinear Four-Wave Interactions and Freak Waves. Journal of Physical Oceanography, 33(4), pp. 863–884. https://doi.org/10.1175/1520-0485(2003)33%3C863:NFIAFW%3E2.0.CO;2
  21. Annenkov, S.Y. and Shrira, V.I., 2014. Evaluation of Skewness and Kurtosis of Wind Waves Parameterized by JONSWAP Spectra. Journal of Physical Oceanography, 44(6), pp. 1582–1594. https://doi.org/10.1175/JPO-D-13-0218.1
  22. Hasselmann, K., Barnett, T.P., Bouws, E., Carlson, H., Cartwright, D.E., Enke, K., Ewing, J.A., Gienapp, H., Hasselmann, D.E. [et al.], 1973. Measurements of Wind-Wave Growth and Swell Decay During the Joint North Sea Wave Project (JONSWAP). Ergänzungsheft zur Deutschen Hydrographischen Zeitschrift Reihe A(8), (12), 95 p.
  23. Young, I.R., 1999. Wind Generated Ocean Waves. Amsterdam: Elsevier, 287 p.
  24. Pierson, W.I. and Moskovitz, L., 1964. A Proposed Spectral Form for Fully Developed Wind Seas Based on the Similarity Theory of S. A. Kitaigorodskii. Journal of Geophysical Research, 69(24), pp. 5181–5190. https://doi.org/10.1029/JZ069i024p05181
  25. Donelan, M.A., Hamilton, J. and Hui, W.H., 1985. Directional Spectra of Wind-Generated Waves. Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences, 315(1534), pp. 509–562. https://doi.org/10.1098/rsta.1985.0054
  26. Zapevalov, A.S., Dulov, V.A., Bolshakov, A.N., Smolov, V.E., Mostsipan, T.N. and Pokazeev, K.V., 2003. [On Spectral Characteristics of Wind Waves in the Coastal Area of the Black Sea]. In: Yu. D. Chashechkin and V. G. Baydulov, eds., 2003. Fluxes and Structures in Fluids: Proceedings of the International Conference, 23–26 June 2003, Saint Petersburg. Moscow, pp. 169–172 (in Russian).
  27. Toloknov, Yu.N. and Korovushkin, A.I., 2010. The System of Collecting Hydrometeorological Information. In: MHI, 2010. Monitoring Systems of Environment. Sevastopol: ECOSI-Gidrofizika. Iss. 13, pp. 50–53 (in Russian).
  28. Solov’ev, Y.P. and Ivanov, V.A., 2007. Preliminary Results of Measurements of Atmospheric Turbulence over the Sea. Physical Oceanography, 17(3), pp. 154–172. https://doi.org/10.1007/s11110-007-0013-9
  29. Tayfun, M.A. and Alkhalidi, M.A., 2016. Distribution of Surface Elevations in Nonlinear Seas. In: OTC, 2016. Proceedings of Offshore Technology Conference. Kuala Lumpur, Malaysia, 22–25 March 2016. pp. 1274–1287. https://doi.org/10.4043/26436-MS
  30. Huang, N. and Long, S., 1980. An Experimental Study of the Surface Elevation Probability Distribution and Statistics of Wind-Generated Waves. Journal of Fluid Mechanics, 101(1), pp. 179–200. https://doi.org/10.1017/S0022112080001590

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