Flood Resilience - End-To-End Predictive Model Architectures, Morphing from Research to Operations to Applications and Services.

Session ID#: 24673

Session Description:
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 are, what kind of, and in what format, is information 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.
Primary Convener:  Alan F Blumberg, Stevens Institute of Technology, Davidson Laboratory, Deptartment of Civil, Environmental and Ocean Engineering, Union City, NJ, United States
Convener:  Leonard Pietrafesa, Coastal Carolina University, Department of Coastal and Marine Systems Science, Conway, SC, United States
Index Terms:

4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4341 Early warning systems [NATURAL HAZARDS]
4534 Hydrodynamic modeling [OCEANOGRAPHY: PHYSICAL]
4564 Tsunamis and storm surges [OCEANOGRAPHY: PHYSICAL]

Abstracts Submitted to this Session:

Carine Godoi Rezende Costa1, Belmiro M Castro2, Alan F Blumberg3 and José Roberto Bairão Leite Sr.1, (1)USP University of Sao Paulo, São Paulo, Brazil, (2)University of Sao Paulo, Sao Paulo, SP, Brazil, (3)Stevens Institute of Tech., Hoboken, NJ, United States
Robert Witkop, University of Rhode Island, Narragansett, RI, United States and Austin Becker, University of Rhode Island, Kingston, RI, United States

See more of: Ocean Sciences