中文摘要：

这研究处理由使用把一个动态答案与随机过程统计相结合的一个方法的为水波浪表面举起的统计建模的发展。从四 NOAA (国家海洋、大气的管理) 拿的海浪数据鼓励在东北太平洋系在被用来验证模型。结果显示从模型导出的海浪表面举起的非线性的概率密度分发比 Gaussian 分发和 Longuet-Higgins 分发更好描述了大小。

英文摘要：

This study deals with the development of statistical modeling for water wave surface elevation by using a method that combines a dynamic solution with random process statistics. Ocean wave data taken from four NOAA （National Oceanic and Atmospheric Administration） buoys moored in the northeast Pacific were used to validate the model. The results indicated that the nonlinear probability density distribution of ocean wave surface elevation derived from the model described the measurements much better than Gaussian distribution and Longuet-Higgins distribution.