4.7 Article

Bivariate distributions of group height and length for ocean waves using Copula methods

Journal

COASTAL ENGINEERING
Volume 96, Issue -, Pages 49-61

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.coastaleng.2014.11.005

Keywords

Wave groups; Group height; Group length; Joint probability distribution; Clayton Copula; Numerical simulations

Funding

  1. National Natural Science Foundation of China [51279186, 51479183]
  2. Joint Institute for the Study of the Atmosphere and Ocean (JISAO) under NOAA [NA10OAR4320148, 2390, 4254]

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We conduct laboratory experiments and numerical simulations, and analyze field wave data to investigate the bivariate distribution of two fundamental characteristics of wave groupiness, group height and group length. All data sets show strong dependence between the two characteristics when they are relatively small; however, gradually they become independent as the values increase. Based on the above findings, we propose a new approach to construct a joint distribution of the two characteristics through the use of the bivariate Clayton Copula function. Our result demonstrates that the Clayton Copula function-based distribution provides an excellent joint distribution of group height and group length. It shows significant improvement over the traditional method based on the total probability formula and three other Copula functions. The results can lead to a better understanding of a number of coastal engineering processes, including random ocean waves and the interactions between wave groups and marine structures. (C) 2014 Elsevier B.V. All rights reserved.

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