H139
Utilizing Precipitation Datasets and Quantifying Associated Uncertainties in Hydrometeorological and Climate Impact Applications

Session ID#: 75783

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.
Index Terms:

1807 Climate impacts [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]
1854 Precipitation [HYDROLOGY]
3354 Precipitation [ATMOSPHERIC PROCESSES]

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, Lafayette, LA, United States
Primary Liaison:  Paul A Kucera, NCAR, Boulder, CO, United States
 
The Challenge of Selecting Precipitation Products for Extreme Weather Services in a Data Scarce Environment (484805)
Marie-Claire Ten Veldhuis, Delft University of Technology, Water Management, Delft, Netherlands, Sha Lu, Delft University of Technology, Watermanagement, Delft, Netherlands and Nick Van De Giesen, Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
 
Role of Moisture Flux Divergence in Mid-summer Precipitation Decrease over the Great Lakes Region (500700)
Samar Minallah, University of Michigan Ann Arbor, Ann Arbor, MI, United States and Allison L Steiner, University of Michigan, Ann Arbor, MI, United States; University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States
 
Improving Global Precipitation Estimation by Fusing Gauge Observations, Remote Sensing and Reanalysis Datasets (504876)
Lei Xu1,2, Nengcheng Chen Dr.1,3, Hamid Moradkhani4 and Xiang Zhang Dr.1, (1)Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan, China, (2)The University of Alabama, Department of Civil, Construction, and Environmental Engineering, Tuscaloosa, AL, United States, (3)Collaborative Innovation Center of Geospatial Technology, Wuhan, China, (4)The University of Alabama, Tuscaloosa, AL, United States
 
Accuracy of Rain Intensity Measurements using OTT Pluvio2 (506889)
Rupayan Saha, University of Texas at San Antonio, Civil & Environmental Engineering, San Antonio, TX, United States, Firat Y. Testik, University of Texas at San Antonio, Civil and Environmental Engineering, San Antonio, TX, United States and Murat C. Testik, Hacettepe University, Industrial Engineering, Ankara, Turkey
 
Evaluation of GPM IMERG dataset with the point rain gauge records on the extreme rainfall over the Sichuan province, China (509487)
Yang Meng Xi and Guodong Liu, Sichuan University, Chengdu, China
 
Internal Climate Variability Assessment of Return Period and Depth Duration Curve for Indian Monsoon Extreme Precipitation (511381)
Divya Upadhyay, Udit Bhatia and Pranab Mohapatra, Indian Institute of Technology Gandhinagar, Discipline of Civil Engineering, Gandhinagar, India
 
Spatial and Temporal Evaluation of Radar Rainfall Nowcasting Techniques for Twelve Catchments in the Netherlands (515170)
Ruben Olaf Imhoff1,2, Claudia Brauer1, Aart Overeem1,3, Albrecht Weerts1,2 and Remko Uijlenhoet1, (1)Wageningen University and Research, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands, (2)Deltares, Operational Water Management, Delft, Netherlands, (3)Royal Netherlands Meteorological Institute, De Bilt, 3730, Netherlands
 
Evaluation of Meteorological Ensemble Forecast Processor (MEFP) using inputs, parameters, and outputs at various times of day (518065)
Hak Su Lee1,2, James Brown3, Yuqiong Liu1,2, Limin Wu1,4, James Ward1,5, Alexander Maestre6,7, Mark A Fresch1, Hank Herr1, Ernie Wells8 and Freddy Camacho1,5, (1)NOAA/NWS/OWP, Silver Spring, MD, United States, (2)LEN Technologies, Oak Hill, VA, United States, (3)Hydrologic Solutions Limited, Southampton, United Kingdom, (4)Lynker, Leesburg, MD, United States, (5)CyberData Technologies Inc., Herndon, VA, United States, (6)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (7)University Corporation for Atmospheric Research, Boulder, CO, United States, (8)NOAA/NWS, Analyze, Forecast and Support Office, Silver Spring, MD, United States
 
Assessment of Satellite and Reanalysis Precipitation Products over Arctic Sea Ice (526009)
Yang Song, University of Arizona, Tucson, AZ, United States, Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Edward Blanchard-Wrigglesworth, University of Washington Seattle Campus, Department of Atmospheric Sciences, Seattle, WA, United States
 
How well do bias-correction algorithms impact on error components of satellite-based precipitation estimates? (545522)
Shushobhit Chaudhary, Indian Institute of Technology Delhi, New Delhi, India and Dhanya C.T, Indian Institute of Technology Delhi, Civil Engineering, New Delhi, India
 
Evaluating the Effects of Forecast Lead Time on Streamflow and Inundation Predictions in Brays Bayou, Houston, Texas through Coupled Hydrologic-Hydraulics Models (547182)
Cheryl Holmes1, Sudershan Gangrade2, Gang Zhao3, Kristopher Lander4, Nathalie Voisin5, Shih-Chieh Kao6, Manqing Shao7 and Huilin Gao3, (1)Texas A&M University College Station, Zachry Department of Civil Engineering, College Station, TX, United States, (2)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, TN, United States, (3)Texas A&M University, Zachry Department of Civil and Environmental Engineering, College Station, TX, United States, (4)NOAA Fort Worth, Fort Worth, TX, United States, (5)PNNL, Seattle, WA, United States, (6)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (7)Texas A & M University, Zachry Department of Civil Engineering, College Station, TX, United States
 
Using Diverse Data Sets to Assess Satellite-Based Snowfall Accumulation and Gauge Undercatch Correction Factors (557598)
Milad Panahi, University of Arizona, Tucson, AZ, United States and Ali Behrangi, University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, AZ, United States
 
Determining the Impact of Precipitation Biases on the Surface Mass Balance Over Greenland (562616)
Jessica Kromer, California State University Los Angeles, Los Angeles, CA, United States, Joshua K Cuzzone, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, John T Reager II, Jet Propulsion Laboratory, Pasadena, CA, United States and Hengchun Ye, California St Univ Los Angeles, Los Angeles, CA, United States
 
Evaluation of WRF simulated Rainfall for Flash flood modeling in an Urbanized Catchment: Case study Kampala, Uganda (578702)
Yakob Umer1,2, Janneke Ettema2 and Victor Jetten2, (1)Enschede, North Holl, Netherlands, (2)University of Twente, Faculty of Geo-Information Science and Earth Observation, Enschede, Netherlands
 
Evolution of the NWS Hydrologic Ensemble Forecast Service (HEFS) (584725)
Mark A Fresch1, Ernie Wells2, James Brown3, Hak Su Lee1,4, James Ward1,5, Yuqiong Liu1,4, Alexander Maestre6,7 and Freddy Camacho1,5, (1)NOAA/NWS/OWP, Silver Spring, MD, United States, (2)NOAA/NWS, Analyze, Forecast and Support Office, Silver Spring, MD, United States, (3)Hydrologic Solutions Limited, Southampton, United Kingdom, (4)LEN Technologies, Oak Hill, VA, United States, (5)CyberData Technologies Inc., Herndon, VA, United States, (6)NOAA/NWS Office of Water Prediction, National Water Center, Tuscaloosa, AL, United States, (7)University Corporation for Atmospheric Research, Boulder, CO, United States
 
Bias correction of global high-resolution precipitation climatologies using streamflow observations from 9372 catchments (586472)
Hylke Beck1, Tim McVicar2, Mauricio Zambrano-Bigiarini3, Camila Desiree Alvarez-Garreton4, Oscar Baez-Villanueva5, Justin Sheffield6, Dirk Karger7 and Eric F Wood1, (1)Princeton University, Civil and Environmental Engineering, Princeton, NJ, United States, (2)CSIRO, Black Mountain, Australia, (3)Universidad de la Frontera, Temuco, Chile, (4)Center for Climate and Resilience Research, CR2, Santiago, Chile, (5)Cologne Technical University, Institute for Technology and Resources Management in the Tropics and Subtropics (ITT), Köln, Germany, (6)University of Southampton, Southampton, United Kingdom, (7)WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland
 
ANALYSIS OF COHERENCE OF GRIDDED PRECIPITATION AND TEMPERATURE DATASET IN THE ALPINE REGION (591189)
Alessandro Todaro1, Alberto Bellin2 and Bruno Majone2, (1)Trento, Italy, (2)University of Trento, Trento, Italy
 
Does combining multiple precipitation datasets improve streamflow simulations? A test study in the Saskatchewan River basin, Canada (595211)
Jefferson See Wong, Fuad Yassin and James S Famiglietti, Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada
 
Cross-validating the gauge-based, satellite-based, and model-based precipitation data sets over High Mountain Asia (596154)
Kishore Pangaluru, University of California Irvine, Irvine, CA, United States and Isabella Velicogna, UCI, Irvine, CA, United States
 
Hydrologic-Land Surface Modelling of a Complex System under Precipitation Uncertainty: A Case Study of the Saskatchewan River Basin, Canada (597220)
Fuad Yassin1, Saman Razavi1, Jefferson See Wong1, Alain Pietroniro2 and Howard S. Wheater1, (1)Global Institute for Water Security, University of Saskatchewan, Saskatoon, SK, Canada, (2)Environment and Climate Change Canada, Saskatoon, SK, Canada
 
Advancing tools to understand and adapt to hydroclimatic variability and change in Alaska and Hawaii (598829)
Andrew James Newman1, Naoki Mizukami2, Lulin Xue2, Andrew Monaghan3, Trude Eidhammer2, Ryan J Longman4, Joseph Hamman5, Martyn P Clark6, Ethan D Gutmann2, Andy Wood2, Kyoko Ikeda7, Thomas W Giambelluca8, Diana R Gergel9, Bart Nijssen9 and Jeffrey Richard Arnold10, (1)University Corporation for Atmospheric Research, Boulder, CO, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)University of Colorado at Boulder, Boulder, United States, (4)University of Hawaii at Manoa, Department of Geography and Environment, Honolulu, HI, United States, (5)University of Washington, Seattle, WA, United States, (6)NCAR, Boulder, CO, United States, (7)NCAR/RAL, Boulder, CO, United States, (8)University of Hawaii at Manoa, Honolulu, HI, United States, (9)University of Washington Seattle Campus, Seattle, WA, United States, (10)US Army Corps of Engineers, Climate Preparedness and Resilience Program, Seattle, WA, United States
 
Characteristics of Rainfall from Drop Size Distribution Measurements in Arizona and New Mexico (603511)
Eric Arthur Escoto, Arizona State University, Hydrology, Tempe, AZ, United States and Enrique R Vivoni, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States
 
Quality control of multi-source in situ precipitation measurements: Filtering and processing techniques used in CHIRPS (607068)
Martin Francis Landsfeld1, Pete Peterson1, Laura Harrison1, Gregory J Husak1, Christopher Funk2, Austin Sonnier3 and Juliet Way-Henthorne3, (1)University of California Santa Barbara, Santa Barbara, CA, United States, (2)USGS, Baltimore, MD, United States, (3)University of California Santa Barbara, Geography, Santa Barbara, CA, United States
 
A Long-Term Precipitation Climate Data Record with Uncertainties from Satellite Passive Microwave Observations (615807)
Wesley K Berg1, Veljko Petkovic2, Christian D Kummerow1 and Paula Brown1, (1)Colorado State University, Fort Collins, CO, United States, (2)University of Maryland College Park, Earth System Science Interdisciplinary Center (ESSIC), College Park, MD, United States
 
Insights into the development of automated near real-time high-resolution rainfall maps in Hawai (618317)
Matthew Lucas1, Thomas W Giambelluca2, Ryan J Longman1, Sean B Cleveland3 and Abby G Frazier4, (1)University of Hawaii at Manoa, Department of Geography and Environment, Honolulu, HI, United States, (2)University of Hawaii at Manoa, Honolulu, HI, United States, (3)University of Hawaii at Manoa, Information Technology Services, Honolulu, HI, United States, (4)East-West Center, Honolulu, HI, United States
 
Accounting for Satellite Precipitation Uncertainty in Environmental Modeling Applications: Developing a Probabilistic Landslide Hazard Model (628461)
Samantha Hartke1, Daniel B. Wright1, Zhe Li1, Dalia Kirschbaum2 and Thomas Stanley3, (1)University of Wisconsin Madison, Madison, WI, United States, (2)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States, (3)Universities Space Research Association Greenbelt, Greenbelt, MD, United States
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