H24E:
Utilizing Precipitation Data Sets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications III
H24E:
Utilizing Precipitation Data Sets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications III
Utilizing Precipitation Data Sets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications III
Session ID#: 10572
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, Emad H Habib, University of Louisiana at Lafayette, Civil Engineering, Lafayette, LA, United States and Yudong Tian, NASA Goddard Space Flight Center, Greenbelt, MD, United States
Chairs: Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Yudong Tian, NASA Goddard Space Flight Center, Greenbelt, MD, United States
OSPA Liaison: Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
Cross-Listed:
- A - Atmospheric Sciences
- NH - Natural Hazards
Index Terms:
1807 Climate impacts [HYDROLOGY]
1833 Hydroclimatology [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1854 Precipitation [HYDROLOGY]
Abstracts Submitted to this Session:
A Geostatistical Framework for Estimating Rain Intensity Fields Using Dense Rain Gauge Networks (69156)
Using Remote Sensing to Understand the Joint Probability of Extreme Rainfall and Flood Response (78718)
Reducing Uncertainties of Hydrologic Model Predictions Using a New Ensemble Pre-Processing Approach (63684)
See more of: Hydrology