A range of computer science methods termed machine learning (ML) enables the extraction
of insight and quantitative relationships from multidimensional datasets. Here, we review the …

An important question for coastal management concerns the importance of individual storms
and clusters of storms on longer term beach sediment budgets, beach and dune erosion …

The ability to understand and predict alongshore-variable sand dune erosion is key to better
coastal management. This study utilizes detailed observations (immediately pre, during and …

Advanced numerical models used to predict coastal change at a variety of time and spatial
scales often contain many free parameters that require calibration to the available field data …

Bayesian networks (BNs) are increasingly being used to model complex coastal processes
due to their ability to integrate non-linear systems, their transparent probabilistic framework …

After decades of study and significant data collection of time-varying swash on sandy
beaches, there is no single deterministic prediction scheme for wave runup that eliminates …

XBeach, a process-based numerical model designed to simulate morphologic change
during extreme storm events, was calibrated and compared to observations from a large …

Installation and maintenance strategies regarding offshore wind farm operations involve
extensive logistics. The main focus is the right temporal and spatial placement of personnel …

Coastal erosion is controlled by two sets of factors, one related to storm intensity and the
other related to a location's vulnerability. This study investigated the role of each set in …

Coastal hazards such as flooding and erosion can cause large economic and human
losses. Under this threat, early warning systems can be very cost-effective solutions for …