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Articles | Volume 14, issue 5
Articles | Volume 14, issue 5
https://doi.org/10.5194/os-14-1321-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/os-14-1321-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 5
Research article
 | 
25 Oct 2018
Research article |  | 25 Oct 2018

Evaluation of extreme wave probability on the basis of long-term data analysis

Kirill Bulgakov, Vadim Kuzmin, and Dmitry Shilov

Cited articles

Bitner-Gregersen, E. M. and Toffoli, A.: On the probability of occurrence of rogue waves, Nat. Hazards Earth Syst. Sci., 12, 751–762, https://doi.org/10.5194/nhess-12-751-2012, 2012.
Chalikov, D.: Freak waves: their occurrence and probability, Phys. Fluids, 21, 076602, https://doi.org/10.1063/1.3175713, 2009.
Chalikov, D. and Babanin, A. V.: Comparison of linear and nonlinear extreme wave statistics, Acta Oceanol. Sin., 35, 99–105, https://doi.org/10.1007/313131-016-0862-5, 2016.
Chalikov, D. and Bulgakov, K.: Estimation of wave height probability based on the statistics of significant wave height, J. Ocean Eng. Mar. Energy, https://doi.org/10.1007/s40722-017-0093-7, in press, 2017.
Chalikov, D., Babanin, A., and Sanina, E.: Modeling of Three-Dimensional Fully Nonlinear Potential Periodic Waves, Ocean Dynam., 64, 1469–1486, https://doi.org/10.1007/s10236-014-0755-0, 2014.
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Short summary
A method of calculation of wind wave height probability based on significant wave height probability is described (Chalikov and Bulgakov, 2017). The method can also be used for estimation of height of extreme waves of any given cumulative probability. The application of the method on the basis of long-term model data is presented. Examples of averaged annual and seasonal fields of extreme wave heights obtained using the method above are given. Areas where extreme waves can appear are shown.
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