Project title: A machine learning based method for wave modelling in coastal areas
PI: Thomas Adcock
Accurate wave forecasting is crucial for various applications, such as optimising vessel route planning or designing robust and economical coastal structures. Numerical wave models are used for understanding ocean wave conditions, but they have limitations in coastal environments owing to factors such as complex shoreline and topography. Machine learning has the potential to achieve a precise representation of coastal wave dynamics, and could substantially reduce the computational costs.
