H33C:
Extreme Rainfall and Flooding: Monitoring, Forecasting, Risk Assessment, and Socioeconomic Consequences I


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Session ID#: 62385

Session Description:
Severe storm and flood hazards are on the rise globally with the frequent recorded events occurring during the past few years in the US alone. 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 models, case studies, remote sensing and monitoring approaches exploring the following topics:

 

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

-Computing nonstationarity, spatio-temporal 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 these events 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
Conveners:  Stacey A Archfield, US Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Reston, United States and Michaela Bray, Cardiff University, Cardiff, United Kingdom
Primary Liaison:  Vidya Samadi, Clemson University, Department of Agricultural Sciences, Clemson, SC, United States
Chairs:  Vidya Samadi, University of South Carolina, Department of Civil and Environmental Engineering, Columbia, United States and Stacey A Archfield, US Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Reston, United States
OSPA Liaison:  Stacey A Archfield, US Geological Survey, Integrated Modeling and Prediction Division, Water Resources Mission Area, Reston, United States
Index Terms:

1821 Floods [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]
4313 Extreme events [NATURAL HAZARDS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]

Abstracts Submitted to this Session:

Downscaled Atmospheric Forcings for Hyper-Resolution Hydrologic Modeling in High Mountain Asia (Invited) (345842)
Viviana Maggioni1, Yiwen Mei2, Tasnuva Rouf2 and Paul Houser3, (1)George Mason University Fairfax, Sid and Reva Dewberry Department of Civil, Environmental, and Infrastructure Engineering, Fairfax, VA, United States, (2)George Mason University Fairfax, Sid and Reva Dewberry Dept. of Civil, Environmental & Infrastructure Engineering, Fairfax, VA, United States, (3)George Mason University Fairfax, Geography and Geoinformation Sciences, Fairfax, United States
How Simultaneous Occurrence of Heavy Rainfall and Wet Initial Conditions Leads to Peak Discharges (362735)
Claudia Brauer1, Ruben Olaf Imhoff1, Danny Heuvelink1 and Remko Uijlenhoet2, (1)Wageningen University and Research, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands, (2)Wageningen University and Research, Environmental Sciences, Wageningen, Netherlands
The mighty Susquehanna—extreme floods during the past two millennia (406974)
Michael Toomey, USGS Headquarters, Reston, VA, United States, Meagan Cantwell, College of William & Mary, Williamsburg, VA, United States, Steven M Colman, U. Minnesotta Duluth, Duluth, MN, United States, Thomas M Cronin, U.S. Geological Survey, Florence Bascom Geoscience Center, Reston, United States, Jeffrey P Donnelly, WHOI, Geology and Geophysics, Woods Hole, United States, Liviu Giosan, Woods Hole Oceanographic Inst, Woods Hole, MA, United States, Clifford W Heil Jr, Univ Rhode Island, Narragansett, RI, United States, Robert L Korty, Texas A & M University, Atmospheric Sciences, College Station, TX, United States, Marci E. Marot, U.S Geological Survey, Coastal and Marine Science Center, Saint Petersburg, FL, United States and Debra A Willard, USGS, Baltimore, MD, United States
DEM-based Hazard Assessment of Pluvial Flooding in Urban Areas: Potential and Limitations (429540)
Attilio Castellarin1, Stefano Bagli2, Valerio Luzzi3, Paolo Mazzoli4, Gaetano Di Gironimo1 and Jaroslav Mysiak5, (1)University of Bologna, Bologna, Italy, (2)GECOsistema Srl, R&D, Rimini, Italy, (3)Gecosistema Srl, R&D, Rimini, Italy, (4)GECOSistema Srl, R&D, Bolzano, Italy, (5)Centro Euro-Mediterraneo sui Cambiamenti Climatici CMCC, Venice, Italy
Spatial dependence of hydrological extremes (438571)
Andras Bardossy, University of Stuttgart, Chair of Hydrology and Geohydrology, Stuttgart, Germany
Identification of extreme rainfall amounts and concomitant flooding impacts at continental scale (Invited) (453485)
Jonathan J Gourley1, Humberto J Vergara2, Steve Martinaitis3, Zac Flamig4 and Jorge Duarte2, (1)National Severe Storms Lab, Oklahoma City, United States, (2)Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, United States, (3)University of Oklahoma Norman Campus, CIMMS, Norman, OK, United States, (4)University of Oklahoma Norman Campus, Norman, OK, United States
Climate, Land Use, Flood Control Infrastructure, and Extreme Floods in the Conterminous United States (466291)
Daniel B Wright, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States, Christopher Bosma, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, WI, United States and Julio Enrique Herrera-Estrada, Stanford University, Stanford, CA, United States
Analysis of confidence interval-based design flood for agricultural reservoirs and its application climate change (389399)
Jihoon Park, APEC Climate Center, Climate Services and Research Department, Busan, Korea, Republic of (South), Jaepil Cho, APCC, Busan, South Korea, Syewoon Hwang, Gyeongsang National University, Jinju, Korea, Republic of (South) and Moon-Seong Kang, Seoul National University, Seoul, South Korea

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