Poster Session 4 |
| | Weather to Climate Scale Flood Forecasting Posters |
| | Organizers: Chandra R. Kondragunta, NOAA/NWS, Silver Spring, MD; John C. Schaake, NOAA/NWS, Silver Spring, MD
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| | P4.1 | Potential real-time fully-automated operational rain gauge quality control tools for time-critical NWS hydrologic applications
Chandra R. Kondragunta, NOAA/NWS, Silver Spring, MD; and F. Ding and K. Shrestha |
| | P4.2 | New satellite data tools for precipitation analyses and forecasts
Sheldon J. Kusselson, NOAA/NESDIS, Camp Springs, MD; and M. A. Turk, S. Q. Kidder, J. M. Forsythe, and E. E. Ebert |
| | P4.3 | New Bayesian probabilistic forecasts of river discharge: Linking weather forecasts to intraseasonal prediction
carlos Hoyos, Georgia Institute of Technology, Atlanta, GA; and P. J. Webster |
| | P4.4 | Further investigation of sedimentation velocities of graupel and snow in the WRF Single-Moment 6-Class Microphysics scheme (WSM6) 
Kyo-Sun Sunny Lim, Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea; and S. Y. Hong and J. Dudhia |
| | P4.5 | COMET© Basic Hydrologic Sciences course: What happens to the rain and snow?
Wendy Schreiber-Abshire, UCAR/COMET, Boulder, CO; and M. Kelsch and L. Goldstein |
|  | P4.6 | Assessing the capability of a regional-scale weather model to simulate extreme precipitation patterns and flooding: Central Texas, USA
Marla R. Knebl, University of Texas at Austin, Austin, TX; and Z. L. Yang |
| | P4.7 | An Autocorrelation Correction Analysis to Simulate Daily Streamflow: An Application to the Thames River, London, Ontario, Canada
Chad Shouquan Cheng, EC, Toronto, ON, Canada; and G. Li |
| | P4.8 | A Study of Adaptive-Network-Based Fuzzy Inference System for Rainfall-Stage Forecasting on Lan-Yang Creek, Taiwan
Yong Duann Jr., Department of civil engineering, China University of Technology, Taipei, Wenshan Chiu, Taiwan; and J. C. Fu and M. H. Hsu |