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Real time wave forecasting using wind time history and numerical model

DSpace at IIT Bombay

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Field Value
 
Title Real time wave forecasting using wind time history and numerical model
 
Creator JAIN, P
DEO, MC
LATHA, G
RAJENDRAN, V
 
Subject ARTIFICIAL NEURAL-NETWORKS
TREES
PARAMETERS
INDIA
COAST
Artificial neural networks
Genetic programming
Model trees
Wave prediction
Numerical wave prediction
 
Description Operational activities in the ocean like planning for structural repairs or fishing expeditions require real time prediction of waves over typical time duration of say a few hours. Such predictions can be made by using a numerical model or a time series model employing continuously recorded waves. This paper presents another option to do so and it is based on a different time series approach in which the input is in the form of preceding wind speed and wind direction observations. This would be useful for those stations where the costly wave buoys are not deployed and instead only meteorological buoys measuring wind are moored. The technique employs alternative artificial intelligence approaches of an artificial neural network (ANN), genetic programming (GP) and model tree (MT) to carry out the time series modeling of wind to obtain waves. Wind observations at four offshore sites along the east coast of India were used. For calibration purpose the wave data was generated using a numerical model. The predicted waves obtained using the proposed time series models when compared with the numerically generated waves showed good resemblance in terms of the selected error criteria. Large differences across the chosen techniques of ANN, GP, MT were not noticed. Wave hindcasting at the same time step and the predictions over shorter lead times were better than the predictions over longer lead times. The proposed method is a cost effective and convenient option when a site-specific information is desired. (C) 2010 Published by Elsevier Ltd.
 
Publisher ELSEVIER SCI LTD
 
Date 2012-06-26T07:45:41Z
2012-06-26T07:45:41Z
2011
 
Type Article
 
Identifier OCEAN MODELLING,36(1-2)26-39
1463-5003
http://dx.doi.org/10.1016/j.ocemod.2010.07.006
http://dspace.library.iitb.ac.in/jspui/handle/100/14170
 
Language English