Hurricane storm surge simulations for Tampa Bay

Using a high resolution, three-dimensional, primitive equation, finite volume coastal ocean model with flooding and drying capabilities, supported by a merged bathymetric-topographic data set and driven by prototypical hurricane winds and atmospheric pressure fields, we investigated the storm surge responses for the Tampa Bay, Florida, vicinity and their sensitivities to point of landfall, direction and speed of approach, and intensity. All of these factors were found to be important. Flooding potential by wind stress and atmospheric pressure induced surge is significant for a category 2 hurricane and catastrophic for a category 4 hurricane. Tide, river, and wave effects are additive, making the potential for flood-induced damage even greater. Since storm surge sets up as a slope to the sea surface, the highest surge tends to occur over the upper reaches of the bay, Old Tampa Bay and Hillsborough Bay in particular. For point of landfall sensitivity, the worst case is when the hurricane center is positioned north of the bay mouth such that the maximum winds associated with the eye wall are at the bay mouth. Northerly (southerly) approaching storms yield larger (smaller) surges since the winds initially set up (set down) water level. As a hybrid between the landfall and direction sensitivity experiments, a storm transiting up the bay axis from southwest to northeast yields the smallest surge, debunking a misconception that this is the worst Tampa Bay flooding case. Hurricanes with slow (fast) translation speeds yield larger (smaller) surges within Tampa Bay due to the time required to redistribute mass.

[1]  Changsheng Chen,et al.  An Unstructured Grid, Finite-Volume, Three-Dimensional, Primitive Equations Ocean Model: Application to Coastal Ocean and Estuaries , 2003 .

[2]  R. Weisberg,et al.  A Simulation of the Hurricane Charley Storm Surge and its Breach of North Captiva Island , 2006 .

[3]  Changsheng Chen,et al.  An Unstructured Grid, Finite-Volume Coastal Ocean Model (FVCOM) System , 2006 .

[4]  Stephen A. Bortone,et al.  Recommendations on establishing a research strategy in the Gulf of Mexico to assess the effects of hurricanes on coastal ecosystems , 2006 .

[5]  K. Hess.  Generation of tidal datum fields for Tampa Bay and the New York Bight , 2001 .

[6]  J. Smagorinsky,et al.  GENERAL CIRCULATION EXPERIMENTS WITH THE PRIMITIVE EQUATIONS , 1963 .

[7]  N. Heaps,et al.  Three-dimensional coastal ocean models , 1987 .

[8]  G. Holland.  An Analytic Model of the Wind and Pressure Profiles in Hurricanes , 1980 .

[9]  Kathleen L. McInnes,et al.  A storm surge inundation model for coastal planning and impact studies , 1999 .

[10]  G. Mellor,et al.  Development of a turbulence closure model for geophysical fluid problems , 1982 .

[11]  A. Rosati,et al.  A Quasi-equilibrium Turbulent Energy Model for Geophysical Flows , 1988 .

[12]  Robert H. Weisberg,et al.  Circulation of Tampa Bay driven by buoyancy, tides, and winds, as simulated using a finite volume coastal ocean model , 2006 .

[13]  W. Large,et al.  Open Ocean Momentum Flux Measurements in Moderate to Strong Winds , 1981 .

[14]  C. Jelesnianski,et al.  SLOSH: Sea, Lake, and Overland Surges from Hurricanes , 1992 .