A new non-parametric correction model and its applications to hindcasting wave data. (1st March 2017)

• Record Type: Journal Article
• Authors: Wang, Lvqing; Liang, Bingchen; Li, Huajun
• Is Part Of: Ocean engineering. Volume 132(2017)
• Page Start: 11
• Page End: 24
• Publication Date: 2017-03-01
• Subjects: Non-parametric correction model -- Numerical wave model -- Machine learning -- Wave -- Error correction -- WAVEWATCH III; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2017.01.010
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: In those oceans where measured wave data are not available, numerical wave models are usually adopted to hindcast wave parameters in order to define design waves for marine structures. To utilize these hindcating data, it is very important to perform error corrections of model results for accurate estimation of the appropriate wave parameters. In this paper, a new non-parametric correction model is established to improve wave model accuracy through modifying a previous approach released by Caires and Sterl in 2005. The new correction model introduces a kernel algorithm to learn error information from both value magnitude and series trend through training datasets, and utilizes the information to correct potential errors in model outputs. It is shown that the two-dimensional learning method is more effective than the previous one-dimensional which only learns error information from the value magnitude. Furthermore, an error constraint parameter is initially adopted in the new correction model to decrease the possibility of overcorrection. The new correction model performs better than its predecessor, especially when modeling wave period and altimeter synchronized wave height. Though this paper evaluates the model correcting performance with WAVEWATCH III outputs, the modified model can be adopted to correct other kinds of time-series data. Highlights: The hindcasting results of WAVEWATCH III in the South China Sea show good agreement with measured data in general. Based on a previous study, a new error correction model is proposed to improve accuracy of wave model outputs. Altimeter synchronized wave height and buoy synchronized wave period can be efficiently corrected by the ICAST.