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 …

Hurricane storm surge represents a significant threat to coastal communities around the
world. Here, we use artificial neural network (ANN) models to predict storm surge levels …

Risk-informed coastal management requires assessment of extreme flood hazards from a
large number of storm scenarios. To account for impact of climate change based on potential …

Ensemble-based probabilistic forecasting of storm surge is increasingly being used to
provide metrics for emergency management decisions such as the near-worst case …

Predicting coastal erosion requires an accurate morphodynamic model. XBeach has been
widely adopted to simulate storm-induced coastal erosion. Because of the large number of …

This study proposes and assesses a methodology to obtain high-quality probabilistic
predictions and uncertainty information of near-landfall tropical cyclone–driven (TC-driven) …

Statistical predictions of storm surge are critical for guiding evacuation and emergency
response/preparedness decisions during landfalling storms. The probabilistic characteristics …

The sensitivity of hurricane-driven storm surge in the Houston Ship Channel Industrial
Corridor to variations in storm characteristics is studied. Hurricane surge from Hurricane Ike …