2 p.m. - 3 p.m. Location: SLC 1.204
Talea L. Mayo
Civil and Environmental Engineering
Data Assimilation for Shallow Water Modeling
The shallow water equations (SWE) are used to model many processes in the coastal ocean including tides, long waves, and hurricane storm surges. When used for hurricane storm surge modeling, the SWE are particularly vital to both emergency planning (risk analysis) and response (real-time forecasting). The SWE are derived by depth integrating the Navier-Stokes equations. Bottom stress parameters are used to account for the assumption of depth-averaged velocities, and thus they significantly influence model accuracy. However, estimates of such parameters often contain large uncertainties, which can have detrimental consequences for real-time forecasting. In this presentation, we show how statistical data assimilation methods, generally used for the estimation of model states, can be used to estimate bottom stress parameters. Additionally, we show how data assimilation can be used to improve methods of risk analysis.
Talea Mayo is a postdoctoral research associate in the Department of Civil and Environmental Engineering at Princeton University. She works in the Natural Hazards and Risk Analysis research group of Professor Ning Lin. She analyzes the current and future risk of flooding due to storm surge, tides, and sea level rise for multiple regions along the U.S. North Atlantic Coast.
Refreshments will be served in TBD 30 minutes prior to the talk
Sponsored by the Department of Mathematical Sciences
John Zweck, 972-883-6699
Questions? Email me.