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Statistical distribution of nonlinear random water wave surface elevation
作者姓名:侯筠  宋贵霆  赵喜喜  宋金宝  郑全安
作者单位:Institute of Oceanology,Institute of Oceanology,Institute of Oceanology,Institute of Oceanology,Department of Meteorology Chinese Academy of Sciences,Qingdao 266071,China,Chinese Academy of Sciences. Qingdao 266071,China Graduate School of the Chinese Academy of Sciences,Beijing 100049,China,Chinese Academy of Sciences. Qingdao 266071,China Graduate School of the Chinese Academy of Sciences,Beijing 100049,China,Chinese Academy of Sciences. Qingdao 266071,China,University of Maryland,College Park,Maryland,USA
基金项目:Supported by the High-Tech Research and Development Program of China (863 Program, No. 2001AA633070 2003AA604040)the National Natural Science Foundation of China (No. 40476015).
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.

关 键 词:海洋动力学  表面高程  波浪  非线性
收稿时间:2005-05-08
修稿时间:2005-08-19

Statistical distribution of nonlinear random water wave surface elevation
Hou Yijun,Song Guiting,Zhao Xixi,Song Jinbao,Zheng Quan'an.Statistical distribution of nonlinear random water wave surface elevation[J].Chinese Journal of Oceanology and Limnology,2006,24(1):1-5.
Authors:Hou Yijun  Song Guiting  Zhao Xixi  Song Jinbao  Zheng Quan'an
Institution:(1) Institute of Oceanology, Chinese Academy of Sciences, 266071 Qingdao, China;(2) Graduate School of the Chinese Academy of Sciences, 100049 Beijing, China;(3) Department of Meteorology, University of Maryland, College Park, Maryland, USA
Abstract: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.
Keywords:random ocean wave  nonlinearity  statistical distribution
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