Real time wave forecasting using wind time history and numerical model
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- @Article{Jain201126,
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author = "Pooja Jain and M. C. Deo and G. Latha and
V. Rajendran",
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title = "Real time wave forecasting using wind time history and
numerical model",
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journal = "Ocean Modelling",
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volume = "36",
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number = "1-2",
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pages = "26--39",
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year = "2011",
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ISSN = "1463-5003",
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DOI = "doi:10.1016/j.ocemod.2010.07.006",
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URL = "http://www.sciencedirect.com/science/article/B6VPS-50XCY8V-1/2/535abd8afbb53832e8278b7eaf4d3932",
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keywords = "genetic algorithms, genetic programming, Artificial
neural networks, Model trees, Wave prediction,
Numerical wave prediction",
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abstract = "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 modelling 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.",
- }
Genetic Programming entries for
Pooja Jain
M C Deo
G Latha
V Rajendran
Citations