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Short term current prediction for operational purposes is commonly carried out with the help of numericalocean circulation models. The numerical models have advantage that they are based on the physics of the underlying process. However because of their spatial nature they may not be so accurate while making station-specific predictions. In such cases data-driven approaches like artificial neural network (ANN)’s trained on the basis of location-specific data may work better. In this paper an attempt is made to do daily predictions of ocean currents by combination of a numerical model and ANNs.

A combined numerical and neural technique for short term prediction of ocean currents in the Indian Ocean