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Ocean wave prediction using numerical and neural network models

DRS at CSIR-National Institute of Oceanography

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Title Ocean wave prediction using numerical and neural network models
 
Creator Mandal, S.
Prabaharan, N.
 
Subject surface water waves
wave predicting
mathematical models
neural network
 
Description This paper presents an overview of the development of the numerical wave prediction models and recently used neural networks for ocean wave hindcasting and forecasting. The numerical wave models express the physical concepts of the phenomena. The performance of the numerical wave model depends on how best the phenomena are expressed into the numerical schemes, so that more accurate wave parameters could be estimated. There are still scopes for improving the numerical wave models. When exact input-output parameters are known for the same phenomenon, it can be well defined by the neural network. Hindcasting of ocean wave parameters using neural networks shows its potential usefulness. It is observed that the short-term wave predictions using neural networks are very close to the actual ones. It is also observed that the neural network simplifies not only the complex phenomena, but also predicts fairly accurate wave parameters
 
Date 2010-01-27T12:28:59Z
2010-01-27T12:28:59Z
2010
 
Type Journal Article
 
Identifier The Open Ocean Engineering Journal, vol.3; 12-17
no
http://drs.nio.org/drs/handle/2264/3537
 
Language en
 
Publisher Bentham Open