Precipitation Processes and Observations for Atmospheric, Land Surface, and Hydrological Modeling - ePosters

Monday, 29 January 2024: 3:50 PM-4:30 PM
Hall E (The Baltimore Convention Center)
Host: 38th Conference on Hydrology
Cochairs:
Viviana Maggioni, George Mason University, Civil, Environmental Engineering, Fairfax, VA; Youcun Qi, Applied Weather Associates, NOAA/PSL, Monument, CO and Zhe Zhang, Chinese Academy of Sciences, IGSNRR, Beijing, Beijing

The precipitation session focuses on precipitation observation and process understanding, modeling, estimation across spatiotemporal scales, advanced statistical techniques including artificial intelligence (AI)-based methods to produce, analyze, and/or visualize precipitation data, and applications of in-situ and remotely sensed precipitation products. Process understanding and observational development topics include, but are not limited to (1) precipitation processes and modeling in coupled or uncoupled model systems; (2) improved assimilation algorithms leveraging precipitation process understanding; (3) recent development pertaining to fusion and downscaling of precipitation products; while applications could include: (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, across spatiotemporal scales.

Submitters:  Andrew J. Newman, NCAR, Boulder, CO; Viviana Maggioni, Fairfax, VA; Youcun Qi, IGSNRR, Norman, OK and Zhe Zhang, IGSNRR, Chinese Academy of Sciences, Beijing, Beijing, China

Papers:
E18
Generation and Validation of High Resolution QPEs in the Pigeon River Basin
Dylan James Major, Univ. of North Carolina Asheville, Asheville, NC; North Carolina State University, Asheville, NC; and D. K. Miller, O. Prat, B. R. Nelson, V. Petkovic, M. Arulraj, and R. Ferraro

E19
Learning data fusion and atmospheric forcing corrections using a physics-informed, differentiable hydrologic model
Kamlesh Arun Sawadekar, The Pennsylvania State University, State College, PA; and Y. Song and C. Shen

E20
Characteristics and Causes of“21.7” Extreme Rainstorm in Northern Henan Province
Aifang Su, Henan Provincial Meteorological Observatory, Zhengzhou, China

E21
Quantitative Precipitation Nowcasting using PySteps and S-Band dual-pol Weather Radar for Squall Lines in Southern Brazil
Leonardo Calvetti, Universidade Federal de Pelotas, Pelotas, RS, Brazil; Universidade Federal de Pelotas, Pelotas, RS, Brazil; and K. Andrzejewski, C. Beneti, T. M. Buriol, and E. Brignol

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