Talea L. Mayo
University of Central Florida

"Hurricane Storm Surge Modeling: Prediction, Risk Analysis, and Uncertainty Reduction"

Abstract: Hurricane storm surges pose a signi cant threat to civil infrastructures. For example, structures are typically designed to withstand "100-year" storm surges. Due to the sparsity of hurricanes and storm surge events, storm surge modeling has become increasingly important to the preservation of life and property, particularly as the climate and storm climatology change, and coastal populations increase. Numerical storm surge models are used in real time for forecasting, as well as for long term planning, i.e. risk analysis. Here, this application of storm surge modeling is discussed. Clearly, the effectiveness of these types of applications is dependent on the accuracy of the storm surge models themselves. Uncertainties in storm surge models largely result from uncertainties in the winds that are used to drive them, and specifically from uncertainties in how they are represented. Uncertainties in model parameters such as bottom friction are also common sources of error. Advanced methods using data can be used to reduce these model uncertainties. In this talk, such approaches to uncertainty reduction are also discussed.

Bio: Talea L. Mayo is an Assistant Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Central Florida. She specializes in coastal ocean modeling, with special interests in hurricane storm surge modeling, risk analysis, and statistical data assimilation methods for state and parameter estimation. For more information, please see: https://www.taleamayo.com/

Host: Prof. Kyle Mandli
Phone: 1-212-854-4485
Email: [email protected]