ONE WEEK WAVE PREDICTION MODEL, GWM to ANN, USING GLOBAL WAVE FORECAST AND NEURAL NETWORK

Abstract

 In large-scale marine construction works such as offshore wind farm projects, accurate sea state information with a long lead time is desirable. Meteorological organizations provide global wave forecasts, but they have low spatial resolutions, causing problems when used for wave predictions along Japan's coast. A previous study showed that Artificial Neural Network could successfully convert the initial forecast data of Japan Meteorological Agency's Global Wave Model to coastal waves. However, it is not clear whether ANN can well convert the actual GWM forecasts. In this study, we examine the applicability of the wave prediction model, GWM to ANN, by comparing it with coastal waves at Japan's coast.