Poster Session 1 Flood Prediction, Analysis, Decision Support, and Management - Posters

Monday, 13 January 2020: 4:00 PM-6:00 PM
Host: 34th Conference on Hydrology
David Gochis, NCAR, Boulder, CO
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").

A Physical Method of Estimating Water Fraction by Combining SMAP, Sentinel-1, and Landsat Measurements
jiangyang liu, University of Connecticut, Storrs, CT; and X. Shen, E. Anagnostou, A. Kettner, and J. galatonwicz

Utilizing Dual-Pol Digital Precipitation Rate to Predict Flash Flooding in Central Kentucky and Southern Indiana
Melissa Piper, Iowa State University, Ames, IA; and A. Schoettmer and T. Funk

Heavy Rainfall Event in Central Viet Nam in December 2018 and QPE/QPF at VNMHA
Kazuo Saito, Japan Meteorological Business Support Center, Tokyo, Japan; Meteorological Reserch Institute, Tsukuba, Japan; Atmosphere and Ocean Research Institute, Kashiwa, Japan; and D. D. Tien, M. K. Hung, and L. Duc

Leveraging the 'Analysis of Record for Calibration' to Improve Precipitation and Temperature Inputs for Hydrologic Modeling
Tyler Madsen, NOAA/NWS: Middle Atlantic River Forecast Center, State College, PA; and S. M. Reed and T. Rodgers

Generation of WRF-Hydro Probabilistic Streamflow Forecasts by Shifting Ensemble QPF Based on a Climatology of Forecast Rainfall Displacement Errors
Kyle K. Hugeback, Iowa State University, Ames, IA; and B. M. Kiel, W. A. Gallus Jr., and K. J. Franz

Statistical Comparison of the National Water Model Streamflow Guidance with non-USGS Stream Gages on the Cottonwood River in Minnesota
Deborah K. Nykanen, Minnesota State University, Mankato, MN; and S. D. Buan, A. R. Thorstensen, and C. C. Schmidt

Application of WRF-Hydro for Retrospective Seasonal Streamflow Simulations using WRF-Hydro at Lake George, New York
Mukul Tewari, 367 W. Cherrywood Dr, Lafayette, CO; and C. D. Watson, A. B. Buoro, V. W. Moriarty, and L. Treinish

Implementation and evaluation of channel infiltration in the NOAA National Water Model for semi-arid environments
Timothy M. Lahmers, Univ. of Arizona, Tucson, AZ; and P. Hazenberg, H. V. Gupta, C. L. Castro, D. J. Gochis, A. Dugger, D. Yates, L. Read, L. Karsten, Y. H. Wang, R. J. Zamora, and B. A. Cosgrove

The Community WRF-Hydro Modeling System Updates to the New Version 5.1.1/National Water Model Version 2.0 and New Supporting Tools for Pre - & Post-Processing
Molly McAllister, NCAR, Boulder, CO; NCAR, Boulder, CO; and D. J. Gochis, M. Barlage, R. Cabell, M. Casali, A. Dugger, K. FitzGerald, L. Karsten, J. McCreight, A. RafieeiNasab, L. Read, K. Sampson, D. Yates, and Y. Zhang

Streamflow Prediction Combining WRF-Hydro Modeling with LSTM
Kyeungwoo Cho, Yonsei University, Seoul, Korea, Republic of (South); and Y. Kim

Performances of the Operational Hydrological Prediction System at Environment and Climate Change Canada (ECCC)
Young Lan Shin, Environment and Climate Change Canada, Dorval, QC, Canada; and D. Durnford, F. dupont, V. Fortin, G. Smith, S. MacDermid, Y. Hata, W. Yu, and P. Pellerin

Leveraging Novel Data Analytics for Clear Communication in South Carolina’s Extreme Precipitation and Flood Alert System
Katie L. Ward, MetStat, Inc., Fort Collins, CO; and T. W. Parzybok, B. Allen, V. Bahls, H. Mizzell, and M. Griffin

A Climatological Geospatial Analysis of Storm-Based Flash Flood Warnings Across the CONUS
Katarina L. Christian, CIMMS, Norman, OK; and J. D. Hardy

Decoupling the Hydro-Climatological Condition before and during the Recent Flooding Event in the Missouri River Basin
MANAS KHAN, University of Nebraska-Lincoln, Lincoln, NE; and C. Wunderlin, P. Sarzaeim, W. Ou, and F. Munoz-Arriola

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- Indicates an Award Winner