Session 14B Precipitation Processes and Observations for Atmospheric, Land Surface, and Hydrological Modeling - II

Thursday, 16 January 2020: 1:30 PM-3:00 PM
Host: 34th Conference on Hydrology
Chair:
Andrew Newman, NCAR, RAL/HAP, Boulder, CO
Cochairs:
Haonan Chen, Colorado State Univ. and NOAA/Earth System Research Laboratory, Fort Collins, CO; Viviana Maggioni, George Mason University, Sid and Reva Dewberry Dept. of Civil, Environmental & Infrastructure Engineering, Fairfax, VA and Youcun Qi, Institute of Geographic Sciences and Natural Resources Research, Beijing

The precipitation session focuses on precipitation observation, modeling, estimation, and applications of in-situ and remotely sensed precipitation products. Topics include, but are not limited to (1) precipitation processes and modeling; (2) advances in remote sensing of precipitation from satellite, airborne, and ground-based platforms; (3) recent development pertaining to fusion and downscaling of precipitation products; (4) assimilation of precipitation and precipitation-related variables in weather or water models; (5) impact of uncertainties associated with precipitation observations on hydrologic design and modeling, (6) assessment of precipitation variability, including extremes, across scales.

Papers:
1:30 PM
14B.1
Use of Satellite Precipitation Products to Improve Hydrologic Prediction and Modeling (Invited Presentation)
R. R. Ferraro, NOAA/NESDIS/STAR, College Park, MD; and N. Y. Wang, B. Sjoberg, S. carter, S. Li, X. Zhan, P. Xie, A. Wimmers, J. Forsythe, and C. Grassotti

1:45 PM
14B.2
Evaluating Hydrologic Model Forcings for use in Reservoir Operations Planning
Janice L. Bytheway, CIRES, Univ. of Colorado Boulder, Boulder, CO; and M. Anderson, R. Cifelli, K. Mahoney, and M. Hughes

2:00 PM
14B.3
A Sensor- and Rainfall-Type-Based Validation of GPM IMERG for the West African Guinea Coast
Marlon Maranan, Karlsruhe Institute of Technology, Karlsruhe, Germany; and A. H. Fink, L. K. Amekudzi, W. A. Atiah, and M. Stengel

2:15 PM
14B.4
Improving Active Remote Sensing of Snow Through the Use of Multiple Frequencies, In-Situ Data and Neural Networks
Randy J. Chase, Univ. of Illinois, Urbana, IL; and S. W. Nesbitt, G. M. McFarquhar, F. Tridon, and J. Leinonen

2:30 PM
14B.5
Evaluating Frontal Precipitation Consistency in Reanalysis Datasets
Frederick Lawrence Soster, Florida State University, Tallahassee, FL; and R. Parfitt

2:45 PM
14B.6
Precipitation Morphology in the Western United States: Its Relationship to Ambient Atmospheric Conditions and Future Changes
Xiaodong Chen, PNNL, Richland, WA; and L. Y. R. Leung, C. Dang, Y. Gao, and Y. Liu

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