Session 5 Flood Prediction, Analysis, Decision Support, and Management I

Tuesday, 8 January 2019: 10:30 AM-12:00 PM
North 126BC (Phoenix Convention Center - West and North Buildings)
Host: 33rd Conference on Hydrology
Cochairs:
David Gochis, NCAR, Boulder, CO; Kristie J. Franz, Iowa State Univ., Geological and Atmospheric Sciences, Ames, IA; John N. McHenry, Baron Advanced Meteorological Systems, LLC, Chief Scientist, Raleigh, NC and Mike Hobbins, NOAA, Physical Sciences Division, Boulder, CO

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.

Papers:
11:15 AM
5.4
Targeted Calibrations to Optimize the NWS Research Distributed Hydrologic Model for Runoff Risk Advisory Forecasts
Deborah K. Nykanen, Minnesota State Univ., Mankato, MN; and A. R. Thorstensen, D. Goering, and M. M. DeWeese
11:30 AM
5.5
Evaluation of Hydrologic Predictions Based on Multi-Model and Multi-Precipitation Product Forcing
Bong-Chul Seo, Univ. of Iowa, Iowa City, IA; and F. Quintero and W. F. Krajewski
11:45 AM
5.6
Improving Snow Pack Analysis for Flood Forecasting and Early Warnings—Lessons Learned from the June 2013 Southern Alberta Flood
Anthony Liu, Environment and Climate Change Canada, Edmonton, AB, Canada; and C. Mooney, K. Szeto, J. M. Thériault, B. Kochtubajda, R. E. Stewart, S. Boodoo, R. Goodson, Y. Li, and J. W. Pomeroy
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner