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Bivariate distributions of significant wave height and mean wave period of combined sea states

机译：组合海域有效波高和平均波周期的二元分布

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This work presents the results of the fit of three bivariate models to twelve years of significant wave height and mean zero-crossing period data of swell, wind sea components, and combined sea states from Australia. The Conditional Modelling Approach defines the joint distribution from a marginal distribution of significant wave height and a set of distributions of mean zero-crossing period conditional on significant wave height. The second model fits the Plackett model to the data, and the last one applies the Box-Cox transformations to the data with the aim of making it approximately normal to fit a bivariate normal distribution to the transformed data. The conditional model with a lognormal distribution for the significant wave height and lognormal distributions for the zero-crossing period gave the best fit for the total sea states and for the wind component. In case of the swell component the conditional model with a Weibull distribution to the significant wave height and a lognormal distribution to the mean zero-crossing period gave a relatively close fit to the data. (C) 2015 Elsevier Ltd. All rights reserved.
机译：这项工作提出了三个双变量模型对十二年显着波高的拟合结果，以及来自澳大利亚的海浪，风海成分和合并海况的平均过零时间数据。条件建模方法根据有效波高的边际分布和一组以有效波高为条件的平均零交叉周期分布来定义联合分布。第二个模型将Plackett模型拟合到数据，最后一个模型将Box-Cox变换应用于数据，以使其近似正态以将二元正态分布拟合到变换后的数据。具有显着波高的对数正态分布和过零期间的对数正态分布的条件模型最适合总海况和风分量。在出现隆起的情况下，条件模型的有效波高分布为魏布尔分布，平均零交叉周期为对数正态分布，与数据相对吻合。 （C）2015 Elsevier Ltd.保留所有权利。

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