NOTE: There is no CCPO & ICAR Seminar Monday, 14 October
due to the ODU Fall Break
CCPO and ICAR
Fall 2024 Virtual Seminar Series
MONDAY, 7 October 2024
3:30 p.m.
ZOOM Link
https://odu.zoom.us/j/94036122805?pwd=1vnGs0ZL810xsvOFgHAa0lBzQzNEyI.1
Meeting ID: 940 3612 2805; Passcode: 098626
The next Center for Coastal Physical Oceanography (CCPO) and Institute for Coastal Adaptation and Resilience (ICAR) seminar for the Fall semester will be given by Dr. David Muñoz from the Civil and Environmental Engineering Department, Virginia Tech (flyer attached). Dr. Muñoz’s research interests focus on compound extreme events. Dr. Muñoz will present results related to compound flood and extreme water level predictions associated with tropical and extratropical cyclones. The recent flooding by Hurricane Helene is an example of the importance of predicting flooding and water level for affected communities.
Information about Dr. Muñoz’s research is available at:
https://www.webapps.cee.vt.edu/index.php?category=people&pagetype=bio&do=getprofile&user=munoz.html
Dr. Tom Allen will host Dr. Muñoz’s virtual seminar. There will be an informal discussion with Dr. Muñoz prior to the seminar starting at 3pm.
Please join via the seminar Zoom link above for the informal discussion and to attend the seminar.
Everyone is encouraged to attend the seminar and learn about research at ODU.
Title: Advancing Compound Flood Modeling with Hybrid Approaches: An Integrated Modeling Perspective
Abstract
Providing actionable compound flood hazard and risk information is crucial for supporting emergency planning, management, and response, especially in low-lying areas where approximately 190 million people are vulnerable to flooding. However, conducting hazard and risk assessments in inland, transition, and coastal zones is challenging due to (i) nonlinear interactions among pluvial, fluvial, and coastal flood drivers, (ii) statistical dependences emerging from those drivers, and (iii) the underlying uncertainty that propagates and/or cascades in the modeling chain. Characterizing such interactions, dependences, and uncertainty is a complex task that requires hybrid modeling approaches, including robust statistical methods, process-based models, and state-of-the-art machine learning architectures. Hybrid approaches have the ability to link spatiotemporal patterns derived from multiple remote sensing and in-situ observations with local and large-scale model simulations. In this seminar, I will present examples of hybrid modeling approaches applied to compound flood and extreme water level predictions associated with tropical and extratropical cyclones along with advantages, limitations, and future research work.
Biography
David F. Muñoz is an Assistant Professor in the Civil and Environmental Engineering Department at Virginia Tech and P.I. of the Compound flood hazard and Risk Assessment in Low-lying areas (CoRAL) Lab. His research team works at the interface of data-driven and process-based modeling with the aim to understand compound extreme dynamics, their evolution in the context of climate change, and broad impacts on coastal communities and ecosystems vulnerable to flooding. Dr. Muñoz is an active member of the American Geophysical Union (AGU), European Geosciences Union (EGU), American Water Resources Association (AWRA), and the American Society of Civil Engineers (ASCE).
Previous seminars are available on CCPO/ICAR Seminar YouTube Playlist