H52B:
Global Hydrological Extremes: From Intense Rainfall to Flash Flood II

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Session ID#: 34411

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
Conveners:  Michaela Bray, Cardiff University, Cardiff, United Kingdom and Hayley J Fowler, Newcastle University, School of Engineering, Tyne and Wear, United Kingdom
Chairs:  Hayley J Fowler, Newcastle University, School of Engineering, Tyne and Wear, United Kingdom and Michaela Bray, Cardiff University, Cardiff, United Kingdom
OSPA Liaison:  Vidya Samadi, Clemson University, Department of Agricultural Sciences, Clemson, SC, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • NH - Natural Hazards
  • SI - 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:

Stochastic Generation of Spatiotemporal Rainfall Events for Flood Risk Assessment (271003)
Dirk Diederen1, Ye Liu1, Ben Gouldby1 and Ferdinand Diermanse2, (1)HR Wallingford, Wallingford, United Kingdom, (2)Deltares, Delft, Netherlands
Improving regional climate and hydrological forecasting following the record setting flooding across the Lake Ontario - St. Lawrence River system (271859)
Andrew Gronewold, University of Michigan, School for Environment and Sustainability, Ann Arbor, United States, Frank Seglenieks, Environment and Climate Change Canada, National Hydrological Services, Burlington, ON, Canada, Jacob Bruxer, Environment Canada Ottawa, Ottawa, ON, Canada, Vincent Fortin, Hydro-Québec, Montreal, Canada and James Noel, NOAA/NWS, Ohio River Forecasting Center, Wilmington, OH, United States
Probabilistic Rainfall Intensity-Duration-Frequency Curves for the October 2015 Flooding in South Carolina (218882)
Ryne Phillips1,2, Vidya Samadi2 and Michael Meadows2, (1)Davis & Floyd, Inc., North Charleston, SC, United States, (2)University of South Carolina, Columbia, SC, United States
Trends in hydrological extremes in the Senegal and the Niger Rivers (219956)
Catherine Wilcox1, Ansoumana Bodian2, Théo Vischel3, Gérémy Panthou3 and Guillaume Quantin1, (1)Institut des Géosciences de l'Environnement (IGE), Grenoble, France, (2)Université Gaston Berger (UGB), Laboratoire Leïdi, Dynamique des Territoires et Développement (LEIDI), Saint-Louis, Senegal, (3)Université Grenoble Alpes, Institut des Géosciences de l'Environnement, Grenoble, France
A Generalized Framework for Non–Stationary Extreme Value Analysis (259113)
Elisa Ragno, University of California Irvine, Irvine, CA, United States, Linyin Cheng, CIRES, Boulder, CO, United States, Mojtaba Sadegh, Boise State University, Boise, ID, United States and Amir AghaKouchak, University of California, Irvine, Civil and Environmental Engineering, Irvine, United States

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