The objectives of this project are to improve the accuracy and robustness of storm-surge simulation through improved mathematical modeling, the development of dynamically adaptive numerical algorithms capable of resolving energetic flow features on different scales, increased computational resolution and improved physical description of coastal regions, and through efficient use of parallel computation. The project is inherently interdisciplinary, involving aspects of mathematical modeling, numerical analysis, computational science, coastal engineering, geomorphology, and marine science. The research team will develop improved physical models of storm surges including coupling of circulation, sediment and contaminant transport, and wave models defined on highly resolved computational domains. Adaptive computational methods for solving these models numerically will be formulated and analyzed. The results of this investigation will include an efficient simulator based on these improved physical models and adaptive algorithms, designed for large-scale parallel computation. The simulator will be verified numerically and validated on relevant benchmarks based on laboratory and field data. The synthesis of these ideas will lead to a fully operational hurricane storm-surge model for the Gulf Coast and eastern seaboard of the U.S., capable of predicting storm surges as storms approach landfall and studying the aftermath of storms.

As recent events such as Hurricanes Katrina, Rita, and Wilma have demonstrated, the ability to predict and study the effects of hurricane storm surges is a problem of critical national interest. Hurricane Katrina alone is the costliest and fifth-deadliest hurricane in U.S. history; yet with better forecasting, design, and preparation, much of the devastation and loss of life caused by this storm could have been avoided. Hurricane storm-surge models can be used to predict flooding as storms approach landfall for the purposes of emergency management, and can be used in the design and implementation of improved protection systems, including levees, wetlands, seawalls, and flood gates. Computer models of storm surges have been developed; however, only within the past few years has the computational power and resolution been available to begin to model these events with any reasonable degree of certainty. In this project, the investigators will develop mathematical models and state-of-the-art computational algorithms and technologies for simulating storm surges due to hurricanes and other tropical events. The project will involve collaboration among mathematicians, coastal engineers, and marine scientists. The research effort will enhance the training of future scientists and engineers, and the developed methodology will impact other problems in coastal engineering and marine science, including water quality, shipping and ports, marine ecology, naval operations, weather and climate, and wetland degradation.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Type
Standard Grant (Standard)
Application #
0620697
Program Officer
Thomas F. Russell
Project Start
Project End
Budget Start
2006-09-01
Budget End
2010-08-31
Support Year
Fiscal Year
2006
Total Cost
$224,999
Indirect Cost
Name
University of Texas Austin
Department
Type
DUNS #
City
Austin
State
TX
Country
United States
Zip Code
78712