Poster Session 3 Flood prediction, analysis, decision support, & management Posters

Tuesday, 12 January 2016: 9:45 AM-11:00 AM
Host: 30th Conference on Hydrology
J.J. Gourley, NOAA/NSSL, Norman, OK; Thomas Adams, NOAA/NWS, Ohio River Forecast Center, Wilmington, OH and David J. Gochis, NCAR, Research Applications Laboratory, Boulder, CO

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.

Flood Alert System using High Resolution Radar Data in the Mayaguez-Puerto Rico Bay Drainage Basin
Luz Estella Torres Molina, Universidad del Turabo, Gurabo, PR; and J. Colom and S. Cruz-Pol
Manuscript (1.6 MB)

Development of NFIE forcing engine
Linlin Pan, NCAR, Boulder, CO; and D. J. Gochis, W. Yu, Y. Zhang, A. Dugger, M. Winn, A. Rafieeinasab, Y. Liu, M. Valenzuela, and D. Maidment

Handout (4.6 MB)

Operational Hydrological Forecasting during the IPHEx-IOP Campaign Meet the Challenge
Jing Tao, Duke Univ., Durham, NC; and W. Di, J. J. Gourley, S. Zhang, W. Crow, C. D. Peters-Lidard, and A. P. Barros

Comparison of Semi-Distributed and Fully Distributed Hydrological Models in Complex Terrain
Jungho Kim, Colorado State University, Fort Collins, CO; and R. Cifelli, L. Johnson, B. Livneh, and V. Chandrasekar

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner