Storm surge simulation using new FEMA model

A parabolic model of drag coefficient for storm surge simulation in the South China Sea

Drag coefficient (Cd) is an essential metric in the calculation of momentum exchange over the air-sea interface and thus has large impacts on the simulation or forecast of the upper ocean state associated with sea surface winds such as storm surges. Generally, Cd is a function of wind speed. However, the exact relationship between Cd and wind speed is still in dispute, and the widely-used formu...

Risk assessment of hurricane storm surge for New York City

[1] Hurricane storm surge presents a major hazard for the United States. We apply a model‐based risk assessment methodology to investigate hurricane storm surge risk for New York City (NYC). We couple a statistical/deterministic hurricane model with the hydrodynamic model SLOSH (sea, lake, and overland surges from hurricanes) to generate a large number of synthetic surge events; the SLOSH model...

Storm surge modelling for Bunbury

Storm surge scenarios for Hamburg

Abstract A scenario for future storm surge heights for the tide gauge of Hamburg St. Pauli is constructed on the basis of results from a regional model for Cuxhaven. Under the A2 emission scenario, an increase of the mean annual maximum water level of about 0.1724 m appears possible and plausible for the time horizon of 2030. In Cuxhaven, an increase of 0.14 may be expected in this scenario. In...

Storm Surge Prediction for Louisiana Coast Using Artificial Neural Networks