H12D:
Utilizing Precipitation Datasets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications II

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Session ID#: 17300

Session Description:
This session seeks contributions from the research, operational, and user communities that utilize precipitation datasets in applications that address scientific and societal needs from flood forecasts to climate impact studies. Uncertainties in precipitation data have a significant impact on the usefulness of these applications.  This session also seeks contributions that present advances in error characterization and uncertainty quantification in diverse precipitation datasets and to enhance our understanding on how the uncertainties propagate to hydrological processes and thus affecting the modeling and data-assimilation in these applications. The session can host broad topics including evaluation efforts.  Presentations that present precipitation applications and various error components in precipitation datasets are welcome.
Primary Convener:  Paul A Kucera, National Center for Atmospheric Research, Boulder, CO, United States
Conveners:  Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Emad H Habib, University of Louisiana at Lafayette, Civil Engineering, Lafayette, LA, United States
Chairs:  Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Paul A Kucera, National Center for Atmospheric Research, Boulder, CO, United States
OSPA Liaison:  Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States

Cross-Listed:
  • PA - Public Affairs
Index Terms:

1840 Hydrometeorology [HYDROLOGY]
1848 Monitoring networks [HYDROLOGY]
1854 Precipitation [HYDROLOGY]
3354 Precipitation [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Validation of CHIRP Satellite Rainfall Estimates over Africa (147847)
Tufa Dinku, Columbia University, Palisades, NY, United States, Chris C Funk, University of California Santa Barbara, Climate Hazards Center, Geography Department, Santa Barbara, CA, United States and Tsegaye Tadesse, National Drought Mitigation Center, School of Natural Resources, University of Nebraska-Lincoln, Lincoln, United States
Precipitation Diurnal Cycle Depicted in the CMORPH Satellite Observations and Four New Global Reanalyses (158272)
Pingping Xie, NOAA/NCEP, College Park, United States and Shaorong Wu, NOAA College Park, College Park, MD, United States
Development of Deep Learning Based Data Fusion Approach for Accurate Rainfall Estimation Using Ground Radar and Satellite Precipitation Products (160921)
Haonan Chen, Colorado State University and NOAA Physical Sciences Laboratory, Boulder, United States, V. Chandrasekar, Colorado State University, Department of Electrical and Computer Engineering, Fort Collins, United States, Haiming Tan, Colorado State University, Fort Collins, CO, United States, Robert Cifelli, NOAA Earth System Research Laboratory, Physical Sciences Division, Boulder, CO, United States and Pingping Xie, NOAA/NCEP, College Park, United States
Time-space blending of radar and rain gauge observations for improved rainfall estimation (186127)
Marc Berenguer and Daniel Sempere-Torres, Universitat Politecnica de Catalunya, Centre de Recerca Aplicada en Hidrometeorologia, Barcelona, Spain
Uncertainty in extreme precipitation representation in numerical simulations and hydrological datasets. (167583)
Ben Timmermans, Travis Allen O'Brien, Michael F Wehner and Hari Krishnan, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Simulating Streamflow Using Bias-corrected Multiple Satellite Rainfall Products in the Tekeze Basin, Ethiopia (185972)
Tadesse Alemayehu Abitew1, Tirthankar Roy2, Aleix Serrat-Capdevila3, Ann van Griensven4, Willy Bauwens4 and Juan B Valdes5, (1)Vrije Universiteit Brussel, Ixelles, Belgium, (2)University of Nebraska-Lincoln, Lincoln, United States, (3)The World Bank, Water Global Practice, Washington D.C., United States, (4)Vrije Universiteit Brussel - VUB, Hydrology and Hydraulic Engineering, Brussels, Belgium, (5)University of Arizona, Tucson, AZ, United States

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