Session 4 Flood prediction, analysis, decision support, & management, Part I

Tuesday, 12 January 2016: 1:30 PM-3:00 PM
Room 242 ( New Orleans Ernest N. Morial Convention Center)
Host: 30th Conference on Hydrology
J.J. Gourley, NOAA/NSSL, Norman, OK and Thomas Adams, NOAA/NWS, Ohio River Forecast Center, Wilmington, OH

A number of new regional and national real-time flood forecasting systems are emerging for a variety of applications. These new systems are taking advantage of new national hydrologic data standards, new advances in supercomputing availability and improvements in model parameterizations and meteorological forcing datasets. This session encourages contributions from academic, government and the private sector groups who have built and deployed such systems. Additionally, contributions are welcome from researchers who have developed novel methodologies to sense and model fast response dynamics including very high resolution hydraulics models. Presentations on hydrologic data assimilation methodologies for flood prediction and presentations summarizing results from recent real-time flood prediction projects such as the NOAA Flash Flood and intense Rainfall (FFaiR) experiment and National Flood Interoperability Experiment (NFIE) among others are also encouraged. Please contact the Program Chairs, David Gochis (, J.J. Gourley ( and Thomas Adams ( for additional information.

1:30 PM
Iowa Real-Time Flood Forecasting System
Witold F. Krajewski, Univ. of Iowa, Iowa City, IA
1:45 PM
Hydrologic Modeling at the National Water Center: Operational Implementation of the WRF-Hydro Model to support National Weather Service Hydrology
Brian Cosgrove, NWS/Office of Water Prediction, Silver Spring, MD; and D. J. Gochis, E. Clark, Z. Cui, A. Dugger, G. Fall, X. Feng, M. A. Fresch, J. J. Gourley, S. Khan, D. Kitzmiller, H. Lee, Y. Liu, J. McCreight, A. Newman, A. Oubeidillah, L. Pan, C. Pham, F. Salas, K. Sampson, G. Sood, M. B. Smith, A. W. Wood, D. Yates, W. Yu, and Y. Zhang
2:45 PM
Real-time demonstration and evaluation of over-the-loop medium-range ensemble streamflow forecasting
Andrew W. Wood, NCAR, Boulder, CO; and B. Nijssen, P. Mendoza, M. Clark, J. R. Arnold, L. D. Brekke, and S. Gangopadhyay

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