4.7 Article

Bivariate maximum entropy distribution of significant wave height and peak period

Journal

OCEAN ENGINEERING
Volume 59, Issue -, Pages 86-99

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.oceaneng.2012.12.002

Keywords

Bivariate model; Maximum entropy distribution; Significant wave height; Peak period; Bivariate normal distribution; Long term wave data

Funding

  1. National Natural Science Foundation of China [51279186]
  2. National Program on Key Basic Research Project [2011CB013704]
  3. China Scholarship Council
  4. Program for New Century Excellent Talents in University [NCET-07-0778]
  5. project EXTREME SEAS-Design for Ship Safety in Extreme Seas
  6. EU [SCP8-GA-2009-234175]

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A bivariate maximum entropy distribution of significant wave heights and the corresponding peak periods is proposed. Two approaches are used to construct the bivariate maximum entropy distribution, the first of which is to adjust equivalent normal bivariate distributions to data transformed from the univariate maximum entropy distributions of wave height and period. The other method is the conditional approach of adjusting one maximum entropy marginal distribution to wave height and several log-normal distributions to the wave periods conditional on the wave height. The bivariate maximum entropy distribution is compared with other bivariate approaches using data from one location in the North Atlantic and a simulated sample by Monte Carlo method. (C) 2012 Elsevier Ltd. All rights reserved.

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