H42H:
Statistical Characterization and Probabilistic Modeling of Precipitation Variability and Extremes Across Multiple Scales I


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Session ID#: 62191

Session Description:
Quantifying and modeling precipitation variability are crucial to improving water resources management, monitoring and prediction of extreme events, hydrologic modeling, and infrastructure design. This session welcomes contributions using statistical and/or probabilistic methods to quantify and/or model precipitation spatiotemporal variability and associated uncertainties across scales, in current and future climate scenarios, as well as studies where statistical analyses and modeling of precipitation are guided by better incorporation of physical process information. Contributions addressing the following topics are particularly welcome: 

- Assessment of precipitation variability across multiple spatiotemporal scales utilizing different precipitation products;
- Probabilistic modeling of aerial precipitation over watersheds;
- Statistical characterization and modeling of precipitation extremes;
- Analysis and/or modeling of precipitation non-stationarity;
- Downscaling methodologies improving precipitation modeling in complex environments;
- Identification of climate model limitations in simulating precipitation processes; and
- Use of climate model outputs and reanalysis products to improve precipitation models.
Primary Convener:  Giuseppe Mascaro, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States
Conveners:  Shih-Chieh Kao, Oak Ridge National Laboratory, Environmental Science Division, Oak Ridge, TN, United States, Elena Yegorova, Nuclear Regulatory Commission, Washington, United States and Ardeshir M Ebtehaj, University of Minnesota Twin Cities, Civil, Environmental, and Geo-Engineering, Minneapolis, MN, United States
Primary Liaison:  Giuseppe Mascaro, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States
Chairs:  Elena Yegorova, Nuclear Regulatory Commission, Washington, United States and Viviana Maggioni, George Mason University Fairfax, Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, Fairfax, VA, United States
OSPA Liaison:  Giuseppe Mascaro, Arizona State University, School of Sustainable Engineering and the Built Environment, Tempe, AZ, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • NG - Nonlinear Geophysics
  • NH - Natural Hazards
Index Terms:

1616 Climate variability [GLOBAL CHANGE]
1854 Precipitation [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]

Abstracts Submitted to this Session:

High-resolution Statistical Downscaling of Global Reanalysis Precipitation Using Multi-Radar/Multi-Sensor (MRMS) Rainfall Estimates – Evaluation over CONUS (452821)
Lanxin Hu1, Efthymios Ioannis Nikolopoulos1, Andreas Langousis2 and Emmanouil N Anagnostou3, (1)University of Connecticut, Civil and Environmental Engineering, Storrs, CT, United States, (2)University of Patras, Civil Engineering, Patras, Greece, (3)Professor, Civil and Environmental Engineering, Storrs, United States
Evaluating Daymet Continental-Scale Gridded Daily Precipitation Estimates Using Gauge Networks, Radar Products, and Reanalysis Datasets (Invited) (373575)
Peter E Thornton1, Yaxing Wei2 and Michele Thornton1, (1)Oak Ridge National Laboratory, Environmental Sciences Division, Oak Ridge, United States, (2)Oak Ridge National Laboratory, Oak Ridge, TN, United States
An Application Framework for the Use of Satellite Precipitation Data for Rainfall Frequency Analysis in Ungauged Regions (419071)
Mohammad Faridzad1, Tiantian Yang1, Kuo-lin Hsu2 and Soroosh Sorooshian2, (1)University of California Irvine, Irvine, CA, United States, (2)University of California, Irvine, Department of Civil and Environmental Engineering, Irvine, United States
Modeling Rainfall and Flood Frequency using Stochastic Storm Transposition and Precipitation Remote Sensing (Invited) (352589)
Daniel B Wright, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States, Guo Yu, University of Wisconsin Madison, Department of Civil & Environmental Engineering, Madison, United States and Kathleen D Holman, Bureau of Reclamation Denver, Denver, United States
It’s raining bits: Trends in the information content of daily rainfall persistence across the U.S. (378836)
Allison Eva Goodwell, University of Colorado Denver, Civil Engineering, Denver, CO, United States and Praveen Kumar, University of Illinois at Urbana-Champaign, Department of Civil and Environmental Engineering, Urbana, United States
Characterizing spatiotemporal trends in extreme precipitation across the southern Texas coast (460053)
Carly Fagnant1, Avantika Gori2, Katherine B Ensor1, Antonia Sebastian3 and Philip B Bedient2, (1)Rice University, Department of Statistics, Houston, TX, United States, (2)Rice University, Civil and Environmental Engineering, Houston, TX, United States, (3)University of North Carolina at Chapel Hill, Department of Earth, Marine, and Environmental Sciences, Chapel Hill, NC, United States
Understanding the Spatial Organization of Precipitation Extremes (371540)
Ariel Mazor, CUNY City College, Department of Civil Engineering, New York, NY, United States, Dr. Nasser Najibi, CUNY City College, New York, NY, United States and Naresh Devineni, Department of Civil Engineering, The City College of the City University of New York, and CUNY-CREST, Department of Civil Engineering, New York, United States

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