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Real-time wave forecasts off the western Indian coast

DSpace at IIT Bombay

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Field Value
 
Title Real-time wave forecasts off the western Indian coast
 
Creator JAIN, P
DEO, MC
 
Subject neural networks
regression analysis
water waves
statistical methods
 
Description The wave observations at three locations off the west coast of India have been analyzed using artificial neural network (ANN) to obtain forecasts of significant wave heights at intervals of 3, 6, 12 and 24 h. The most appropriate training method requiring an input of four observations spread over previous 24 h has been selected after considerable trials. Further, the networks are trained after filling in the missing information. Larger gaps in data are filled in using spatial mapping involving observations at nearby locations, while relatively smaller gaps are accounted for by the statistical technique of multiple regressions in temporal mode. It is found that by doing so the long-interval forecasting is tremendously improved, with corresponding accuracy levels becoming close to those of the short-interval forecasts. If the amount of gaps is restricted to around 2% per year or so it is possible to obtain 12 h ahead forecasts with 0.08 m accuracy on an average and 24 h ahead forecast with a mean accuracy of 0.13 m. However, in harsher environments the prediction accuracy can change.
 
Publisher Elsevier
 
Date 2009-03-20T06:00:16Z
2011-11-25T19:57:24Z
2011-12-26T13:07:59Z
2011-12-27T05:55:59Z
2009-03-20T06:00:16Z
2011-11-25T19:57:24Z
2011-12-26T13:07:59Z
2011-12-27T05:55:59Z
2007
 
Type Article
 
Identifier Applied Ocean Research 29(1-2), 72-79
0141-1187
http://dx.doi.org/10.1016/j.apor.2007.05.003
http://hdl.handle.net/10054/1042
http://dspace.library.iitb.ac.in/xmlui/handle/10054/1042
 
Language en