Session 3A Flood Prediction, Analysis, Decision Support, and Management - III

Monday, 13 January 2020: 2:00 PM-3:00 PM
Host: 34th Conference on Hydrology
Chair:
David Gochis, NCAR, Boulder, CO
CoChair:
Kristie Franz, Iowa State University, Ames, IA

A number of regional and national real-time flood forecasting systems are emerging for a variety of different flood-related 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 all sectors of the AMS enterprise (academic, government and the private sector) who have built and deployed such systems. Additionally, contributions are welcome from researchers who have developed novel methodologies to sense and model flood generation dynamics at a variety of time and space scales. Research and application contributions from within the U.S. as well as internationally are also encouraged.

Please note that there is a different session in this conference on heavy precipitation events, flood risk under climate change (see "Heavy Precipitation and Flood Risk under a Changing Climate").

Papers:
2:00 PM
.1
NOAA’s National Water Model: A Dynamically Evolving Operational Hydrologic Forecasting Framework
Brian A. Cosgrove, NWS, Silver Spring, MD; and D. J. Gochis, T. Graziano, E. Clark, and T. Flowers

2:30 PM
.3
Performance and Reliability of the NOAA National Water Model Operational Forecasts for Water Resources Management
Jungho kim, CIRA, Fort Collins, CO; NOAA/ESRL, Boulder, CO; and R. Cifelli, L. E. Johnson, M. Hughes, F. Viterbo, and K. Nowak

2:45 PM
.4
Process-focused, Multi-scale, Integrated Hydrometeorological Assessments Toward Understanding National Water Model Forecasts: A Case Study of the 27 May 2018 Ellicott City Flood
Kelly Mahoney, NOAA, Boulder, CO; and F. Viterbo, J. C. Elliott, D. Gochis, R. Cifelli, L. Read, B. A. Cosgrove, F. Salas, B. Bates, and A. Dugger

- Indicates paper has been withdrawn from meeting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