Tropical cyclones have always been a concern of meteorologists, and there are many
studies regarding the axisymmetric structures, dynamic mechanisms, and forecasting …

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 …

In recent years, machine learning has become a hot research method in various fields and
has been applied to every aspect of our life, providing an intelligent solution to problems that …

Rapid and accurate prediction of peak storm surges across an extensive coastal region is
necessary to inform assessments used to design the systems that protect coastal …

To improve coastal adaptation and management, it is critical to better understand and
predict the characteristics of sea levels. Here, we explore the capabilities of artificial …

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 …

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 storm surge hazard assessment has received increased attention due to major
hurricane events in the last two decades. Robust hazard assessment requires accurate and …