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NONLINEARITY IN SUCCESSIVE WAVE CREST HEIGHT STATISTICS

机译:连续波峰高度统计中的非线性

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This paper addresses nonlinear effects in successive wave crest height statistics. Two methods are used to derive joint distribution functions of successive wave crest heights. The first model contains second-order Stokes type nonlinearity, while the second is a parametric model based on second-order simulations. Comparisons are made between the two models. Analysis results of data from field measurements in the central North Sea are also included in order to evaluate the models. The nonlinear effects observed in the data are well predicted by the models.
机译:本文在连续波峰高度统计中解决了非线性效应。两种方法用于导出连续波峰高度的联合分布函数。第一模型包含二阶Stokes型非线性,而第二次是基于二阶模拟的参数模型。两种模型之间的比较。还包括中央北海的场测量数据的分析结果,以便评估模型。在数据中观察到的非线性效果是由模型预测的。

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