Session 7 Flood Resilience: End-to-End Predictive Model Architectures, from Research to Operations to Applications and Services—Part I

Tuesday, 9 January 2018: 1:30 PM-2:30 PM
Room 12B (ACC) (Austin, Texas)
Host: 16th Symposium on the Coastal Environment
Nickitas Georgas, Stevens Institute of Technology, Davidson Laboratory, Hoboken, NJ and Chester Huang, Department of the Interior, Environmental Sciences Section, New Orleans, LA

Today, many predict coastal zone weather including alerts to potential flooding. This session will offer papers that predict the occurrences and impacts of weather via next-generation, science-based flood forecasting and robust decision support services to communicate the information. The ultimate goal is to evolve water modeling, and forecasting, to motivate improved water information research and development. Important research questions include what kinds of (and in which formats) information are needed by community, state, and regional decision-makers. This session will reveal the required comprehensive observational and numerical modeling and communication strategies necessary for timely, detailed, and accurate warnings of where, when, and how much flooding will occur in coastal watersheds to forewarn emergency managers and public authorities and the public.

1:30 PM
NOAA Storm Surge Strategy in Support of the Weather Act
Nicole P. Kurkowski, NWS, Silver Spring, MD; and J. Rhome
1:45 PM
Real-Time Storm Surge Forecasting Systems Research, Design, and Development
Sergey V. Vinogradov, NOAA, Silver Spring, MD; and E. Myers, Y. Funakoshi, S. Moghimi, and J. Calzada-Morrero
2:00 PM
An Integrated Scenario-Based Evacuation Framework: The Coupling of Meteorological–Hydrological–Hydrodynamic Models to an Evacuation Model
Kendra M. Dresback, Univ. of Oklahoma, Norman, OK; and R. L. Kolar, R. Davidson, B. Blanton, B. A. Colle, T. Wachtendorf, L. Nozick, H. Vergara, Y. Hong, K. Yang, S. DeYoung, and N. Leonardo

2:15 PM
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner