Butler featured in video on how math models predict storms

Troy Butler, assistant professor in the Department of Mathematical and Statistical Science, College of Liberal Arts and Sciences at CU Denver, is in a new video detailing how to improve the predictive capabilities of mathematical models that can help in severe storm forecasting.

The Society for Industrial and Applied Mathematics (SIAM) produced the video featuring Butler along with University of Texas, Austin’s Lindley Graham. They address how to quantify uncertainties in the mathematical models used in the prediction of storm surge resulting from hurricanes and tropical cyclones in the Gulf of Mexico, and they offer insight on how this type of analysis may lead to reductions in the human and monetary costs associated with natural disasters.

The video was produced at the SIAM 2014 Annual Meeting, where Butler and Graham presented their work at a mini-symposium on inverse problems for coastal engineering and subsurface flow.