Prediction of wind generated ocean waves over short lead times of the order of some hours or days is helpful in
carrying out any operation in the sea such as repairs of structures or laying of submarine pipelines. This paper discusses an
application of different artificial intelligent tools for this purpose. The physical domain where the wave forecasting is
made belongs to the western part of the Indian coastline in Arabian Sea. The tools used are artificial neural networks, genetic
programming and model trees. Station specific forecasts are made at those locations where wave data are continuously
observed. A time series forecasting scheme is employed. Based on a sequence of preceding observations forecasts
are made over lead times of 3 hr to 72 hr. Large differences in the accuracy of the forecasts were not seen when alternative
forecasting tools were employed and hence the user is free to use any one of them as per her convenience and confidence.
A graphical user interface has been developed that operates on the received wave height data from the field and produces
the forecasts and further makes them accessible to any user located anywhere in the world.