Storm surge and wave simulations in the Gulf of Mexico using a consistent drag relation for atmospheric and storm surge models

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...

CaMEL and ADCIRC Storm Surge Models— A Comparative Study

The Computation and Modeling Engineering Laboratory (CaMEL), an implicit solver-based storm surge model, has been extended for use on high performance computing platforms. An MPI (Message Passing Interface) based parallel version of CaMEL has been developed from the previously existing serial version. CaMEL uses hybrid finite element and finite volume techniques to solve shallow water conservat...

Using Wind Setdown and Storm Surge on Lake Erie to Calibrate the Air-Sea Drag Coefficient

The air-sea drag coefficient controls the transfer of momentum from wind to water. In modeling storm surge, this coefficient is a crucial parameter for estimating the surge height. This study uses two strong wind events on Lake Erie to calibrate the drag coefficient using the Coupled Ocean Atmosphere Wave Sediment Transport (COAWST) modeling system and the the Regional Ocean Modeling System (RO...

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...