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 Duanfeng Han,Ting Cui,Yingfei Zan,et al.Analysis of Ocean Wave Characteristic Distributions Modeled by Two Different Transformed Functions[J].Journal of Marine Science and Application,2019,(3):247-259.[doi:10.1007/s11804-019-00101-w]
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Analysis of Ocean Wave Characteristic Distributions Modeled by Two Different Transformed Functions


Analysis of Ocean Wave Characteristic Distributions Modeled by Two Different Transformed Functions
Duanfeng Han1 Ting Cui1 Yingfei Zan1 Lihao Yuan1 Song Ding2 Zhigang Li3
Duanfeng Han1 Ting Cui1 Yingfei Zan1 Lihao Yuan1 Song Ding2 Zhigang Li3
1 College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China;
2 China Ship Research and Development Academy, Beijing 100192, China;
3 Offshore Oil Engineering Co., Ltd., Tianjin 300451, China
Wave characteristic distributionsTransformed Gaussian processTransformed functionParametric methodNon-parametric methodCrossing-density function
The probability distributions of wave characteristics from three groups of sampled ocean data with different significant wave heights have been analyzed using two transformation functions estimated by non-parametric and parametric methods. The marginal wave characteristic distribution and the joint density of wave properties have been calculated using the two transformations, with the results and accuracy of both transformations presented here. The two transformations deviate slightly between each other for the calculation of the crest and trough height marginal wave distributions, as well as the joint densities of wave amplitude with other wave properties. The transformation methods for the calculation of the wave crest and trough height distributions are shown to provide good agreement with real ocean data. Our work will help in the determination of the most appropriate transformation procedure for the prediction of extreme values.


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Received date:2018-03-26;Accepted date:2019-01-21。
Foundation item:Supported by the Marine Engineering Equipment Scientific Research Project of Ministry of Industry and Information Technology of PRC and the National Science and Technology Major Project of China (Grant No. 2016ZX05057020) and National Natural Science Foundation of China (Grant No. 51809067)
Corresponding author:Yingfei Zan,zanyingfei@hrbeu.edu.cn
Last Update: 2019-09-18