WIND AND WAVE TRAINED ARTIFICIAL NEURAL NETWORKS FOR THE FORECASTING OF WAVE CLIMATE IN HARBOUR AREA

Nowadays, maritime transportation has expanded rapidly, involving the need to enhance several navigation-related issues, particularly concerning safety of navigation, which is significantly impacted by weather conditions. In this regard, creating a wave forecasting system could facilitate vessel movement at harbour entrance or inside sheltered area. Wave characteristics are usually estimated using numerical models, generally require high computational costs, making them inadequate for nowcasting and climate. The current study describes implementation methodology port area Augusta (Sicily) based on an Artificial Neural Network (ANN) that attempts deliver trustworthy response model but with significant reduction in time.