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

Thursday, 16 January 2020: 1:30 PM-3:00 PM
253A (Boston Convention and Exhibition Center)
Host: 34th Conference on Hydrology
Chair:
Andrew Newman, NCAR, RAL/HAP, Boulder, CO
Cochairs:
Haonan Chen, Cooperative Institute for Research in the Atmosphere (CIRA), Boulder, 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 at Urbana–Champaign, 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 Univ., Tallahassee, FL; and R. Parfitt
2:45 PM
14B.6
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner