H11G:
Utilizing Precipitation Datasets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications I

Submit an Abstract to this Session Please know the abstract submission deadline has passed. There are no exceptions to this deadline and no new abstracts can be submitted.
You can still search the program to see your colleague�s abstract submissions as well as the sessions submitted for the 2016 Fall Meeting. The final program will be released in early October.


Session ID#: 17295

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:  Emad H Habib, University of Louisiana at Lafayette, Civil Engineering, Lafayette, LA, United States and Paul A Kucera, National Center for Atmospheric Research, Boulder, CO, United States
OSPA Liaison:  Emad H Habib, University of Louisiana at Lafayette, Civil Engineering, Lafayette, LA, 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:

New Products and Perspectives from the Global Precipitation Measurement (GPM) Mission (Invited) (131979)
Christian Kummerow, Colorado State University, Department of Atmospheric Science, Fort Collins, United States, David Randel, Colorado State Univ, Fort Collins, CO, United States and Dr. Veljko Petković, University of Maryland, Earth System Science Interdisciplinary Center (ESSIC), College Park, United States
Rainfall Estimation and Performance Characterization Using an X-band Dual-Polarization Radar in the San Francisco Bay Area (Invited) (123214)
Robert Cifelli, NOAA Physical Sciences Laboratory, Boulder, CO, United States, Haonan Chen, NOAA ESRL, Physical Science Division, Boulder, CO, United States; Cooperative Institute for Research in the Atmosphere, NOAA Physical Sciences Division, Fort Collins, CO, United States and V. Chandrasekar, Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO, United States
Assessment of NOAA’s NEXRAD reanalysis (141218)
Brian R Nelson, NOAA Asheville, NCEI/CWC, Asheville, NC, United States, Olivier Prat, Cooperative Institute for Climate and Satellites - NC, NOAA/NESDIS/NCEI, Asheville, NC, United States, Scott E Stevens, Cooperative Institute for Climate and Satellite North Carolina State, Asheville, NC, United States, Jian Zhang, NOAA/OAR National Severe Storms Laboratory, Norman, Oklahoma, United States, Youcun Qi, NOAA Norman, Norman, OK, United States and Kenneth Howard, National Severe Storms Lab, Norman, OK, United States
Comparisons of Wind Field Effects on Radar Rainfall Adjustments (143739)
Yang Song1, D Han2 and Miguel A Rico-Ramirez2, (1)University of Bristol, Bristol, United Kingdom, (2)University of Bristol, Civil Engineering, Bristol, United Kingdom
Stochastic error model corrections to improve the performance of bottom-up precipitation products for hydrologic applications (118373)
Viviana Maggioni1, Christian Massari2, Luca Ciabatta2 and Luca Brocca2, (1)George Mason University Fairfax, Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, Fairfax, VA, United States, (2)Research Institute for Geo-Hydrological Protection National Research Council CNR, Perugia, Italy
Evaluation and correction of uncertainty due to Gaussian approximation in radar – rain gauge merging using kriging with external drift (130513)
Francesca Cecinati1, Omar Wani2 and Miguel A Rico-Ramirez1, (1)University of Bristol, Civil Engineering, Bristol, United Kingdom, (2)EAWAG Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland
Hydrologic Response to Climate Change: Missing Precipitation Data Matters for Computed Timing Trends (136673)
Bruce Daniels, Soquel Creek Water District, Board of Directors, Soquel, CA, United States; University of California Santa Cruz, Santa Cruz, CA, United States
Why the predictions for monsoon rainfall fail? (146592)
Ju Hyoung Lee, Seoul National University, Seoul, Korea, Republic of (South)

See more of: Hydrology