Coastal bridges are vulnerable to complicated hydrodynamics induced by hostile natural
hazards, relevant research is thus required to ensure the safe operation of these critical …

The rise of machine learning (ML) has significantly advanced the field of coastal
oceanography. This review aims to examine the existing deficiencies in numerical …

Coastal waters face increasing threats from hypoxia, which can have severe consequences
for marine life and fisheries. This study aims to develop a machine learning approach for …

Recent hurricane losses in the New York Metropolitan area demonstrate its vulnerability to
flood hazards. Long-term development and planning require predictions of low-probability …

Storm surge generated from low-probability high-consequence tropical cyclones is a major
flood hazard to the New York metropolitan area and its assessment requires a large number …

Storm surge is the anomalous rising of the sea surface induced by intense atmospheric
disturbances. The storm surge caused by tropical cyclones often causes great socio …

Coastal regions, increasingly threatened by floods due to climate-change-driven extreme
weather, lack a comprehensive study that integrates coastal and riverine flood dynamics. In …

Ensemble of metamodels/surrogate models (EM), built based on individual ones, is favoured
as an approximation for expensive physical and high-fidelity numerical experiments where …

This study presents an encoder–decoder neural network model to forecast storm surges on
the US North Atlantic Coast. The proposed multivariate time-series forecast model consists …

This study proposes a novel, new ensemble model (NEM) designed to simulate the
maximum water level increases caused by storm surges in a frequently cyclone‐affected …