Public Release: 

Modeling storm surge to better protect Texas

Video created by the Society for Industrial and Applied Mathematics

Society for Industrial and Applied Mathematics

The recent floods in Texas have caused some of the worst flooding since Hurricane Ike in 2008, causing the rainiest month in the state's history.

What lessons have been learned from Ike's devastation of the Galveston and Houston area, and how have they helped in the prediction of future such storms?

Researchers at the Institute for Computational Engineering and Sciences at the University of Texas at Austin have been studying computational models and simulations of hurricanes like Ike in order to predict the consequences of such natural disasters and better prepare the Texas Gulf Coast for their effects.

Environmental and coastal ocean engineering models yield complex systems that combine interdisciplinary techniques. Accurate and efficient simulation requires advanced tools in high performance scientific computing. Watch the video below, where Jennifer Proft of UT Austin discusses new ideas for the high resolution modeling of extreme weather such as hurricane storm surge and floods:

https://youtu.be/gampzw9xwd4

###

The Society for Industrial and Applied Mathematics (SIAM), headquartered in Philadelphia, Pennsylvania, is an international society of over 14,000 individual members, including researchers, educators, students, and practitioners in industry, government, laboratories, and academia. The Society, which also includes nearly 500 academic and corporate institutional members, serves and advances the disciplines of applied mathematics and computational science by publishing a variety of books and prestigious peer-reviewed research journals, by conducting conferences, and by hosting activity groups in various areas of mathematics. http://www.siam.org.

Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.