H53D:
Global Hydrological Extremes: From Intense Rainfall to Flash Flood III Posters

Submit an Abstract to this Session



Session ID#: 22203

Session Description:
Intense rainfall and flash floods are two extreme hydrological events that pose significant challenges to sustainable development around the world. The aim of this session is to provide a unique opportunity for interdisciplinary exchange of ideas and experiences among atmospheric-hydrological researchers, modelers and decision makers. The session welcomes contributions on the development of novel methodologies/models, case studies, remote sensing and monitoring approaches exploring the following topics:

-Addressing past, present and prospective changes in intense rainfall and floods under environmental changes (global warming, land use change, etc.)

-Computing nonstationarity, spatial patterns and variability, and predicting these events over short- to long-term periods, from catchment to regional and continental scales

-Developing models, hypothesis testing and diagnostics to quantify uncertainty/error in intense rainfall and flood prediction

- Constructing case studies of regional hydrological analysis in climate sensitive and flood prone regions worldwide

-Assessing the risk and socio-economics consequences of these extremes

Primary Convener:  Vidya Samadi, Clemson University, Department of Agricultural Sciences, Clemson, SC, United States; University of South Carolina, Department of Civil and Environmental Engineering, Columbia, United States
Conveners:  Michaela Bray, Cardiff University, Cardiff, United Kingdom and Hayley J Fowler, Newcastle University, School of Engineering, Tyne and Wear, United Kingdom
Chairs:  Yixin Berry Wen, Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States, Grace Marie Maze, Savannah River National Laboratory, North Augusta, SC, United States, Michaela Bray, Cardiff University, Cardiff, United Kingdom and Hayley J Fowler, Newcastle University, School of Engineering, Tyne and Wear, United Kingdom
OSPA Liaison:  Vidya Samadi, University of South Carolina, Department of Civil and Environmental Engineering, Columbia, United States; Clemson University, Department of Agricultural Sciences, Clemson, SC, United States
Co-Organized with:
Hydrology, Atmospheric Sciences, Global Environmental Change, Natural Hazards, and Societal Impacts and Policy Sciences
Index Terms:

1821 Floods [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]
4313 Extreme events [NATURAL HAZARDS]
4328 Risk [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Developing an approach to effectively use super ensemble experiments for the projection of hydrological extremes under climate change (262861)
Satoshi Watanabe1, Hyungjun Kim1 and Nobuyuki Utsumi2, (1)The University of Tokyo, Tokyo, Japan, (2)The University of Tokyo, Institute of Industrial Science, Tokyo, Japan
River flood seasonality in the Northeast United States and trends in annual timing (272392)
Mathias J Collins, NOAA Fisheries Greater Atlantic Region - Gloucester, Gloucester, MA, United States
Analysis of Extreme Snow Water Equivalent Data in Central New Hampshire (251189)
Carrie Vuyovich, U.S. Army Engineer Research and Development Center, Vicksburg, MS, United States, Brian E Skahill, Engineer Research and Development Center, Coastal and Hydrualic Laboratory, Vicksburg, MS, United States, Joseph Francis Kanney, Nuclear Regulatory Commission, Hydrologist, Office of Nuclear Regulatory Research, Washington, DC, United States and Meredith L Carr, U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, Rockville, United States
A large-scale simulation of climate change effects on flood regime – A case study for the Alabama-Coosa-Tallapoosa River Basin (260001)
Tigstu TSIGE Dullo1, Sudershan Gangrade2, Ryan Marshall1, Sheikh R Islam1, Sheikh K Ghafoor1, Shih-Chieh Kao3 and Alfred J Kalyanapu1, (1)Tennessee Technological University, Cookeville, TN, United States, (2)Oak Ridge National Laboratory, Oak Ridge, TN, United States, (3)Oak Ridge National Laboratory, Environmental Science Division, Oak Ridge, TN, United States
Attributing Increased River Flooding in the Future: Hydrodynamic Downscaling Reveals Role of Plant Physiological Responses to Increased CO2 is First Order (278008)
Megan Devlan Fowler, University of California Irvine, Irvine, United States, Gabriel J Kooperman, University of Georgia, Department of Geography, Athens, GA, United States, Mike S Pritchard, University California Irvine, Earth System Science, Irvine, United States and James Tremper Randerson, University of California Irvine, Earth System Science, Irvine, CA, United States
Scaling of Precipitation Extremes Modelled by Generalized Pareto Distribution (227929)
Chandra Rupa Rajulapati, Indian Institute of Science, Bangalore, India and P P Mujumdar, Indian Institute of Science, Interdisciplinary Centre for Water Research, Bangalore, India
Comparison of Extreme Precipitation Return Levels using Spatial Bayesian Hierarchical Modeling versus Regional Frequency Analysis (263591)
Charlotte Anne Love1, Brian E Skahill2, Amir AghaKouchak1, Gregory S Karlovits3, John F. England4 and Angela M Duren5, (1)University of California, Irvine, Civil and Environmental Engineering, Irvine, United States, (2)Engineer Research and Development Center, Coastal and Hydrualic Laboratory, Vicksburg, MS, United States, (3)US Army Corps of Engineers, Risk Management Center, Jacksonville, FL, United States, (4)USACE, Risk Management Center, Lakewood, United States, (5)US Army Corps of Engineers, Portland District, Portland, OR, United States
Future projection of design storms using a GCM-informed weather generator (235327)
Tae-woong KIm, Hanyang University (ERICA), Department of Civil and Environmental Engineering, Ansan, South Korea, Sungwook Wi, University of Massachusetts, Civil & Environmental Engineering, Amherst, United States, Rodrigo Valdés-Pineda, University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States and Juan B Valdés, University of Arizona, Tucson, AZ, United States
An Approach to Flooding Inundation Combining the Streamflow Prediction Tool (SPT) and Downscaled Soil Moisture (284299)
Kayla Ann Cotterman1, Michael L Follum1, Nawa Raj Pradhan1 and Jeffrey D Niemann2, (1)Engineer Research and Development Center Vicksburg, Coastal and Hydraulics Laboratory, Hydrologic Systems Branch, Vicksburg, MS, United States, (2)Colorado State University, Department of Civil and Environmental Engineering, Fort Collins, United States

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