H32A:
Advances in Ensemble Flood Forecasting, Flood Estimation, and Risk Analysis II


Submit an Abstract to this Session


Session ID#: 62228

Session Description:
Floods are recognized as the most common largely distributed hazard to life, property, and the economy, costing billions of dollars every year. This session focuses on ensemble hydro-meteorological forecasting to enhance short-term flood mitigation strategies and long-term flood risk management. Advances may include enhanced understanding of flood processes, improved ensemble analysis and prediction methods, modelling and forecasting techniques. Targeted topics relevant to the session focus include: estimation of flood regimes,  ensemble or probabilistic hydro-meteorological forecasting, downscaling of meteorological forecasts as well as forecasts pre- and post-processing , hydrologic modeling in a flood forecasting context, in-situ and remotely sensed data assimilation, uncertainty quantification and forecast verification, assessment of forecasts in terms of economic value, risk analysis of socio-economic and environmental impacts of floods, and applications of short to medium range flood forecasts.
Primary Convener:  Paulin DL Coulibaly, McMaster University, Department of Civil Engineering, Hamilton, ON, Canada
Conveners:  Andrew W Wood, National Center for Atmospheric Research, Boulder, CO, United States, Marie-Amelie Boucher, Université de Sherbrooke, Department of Civil Engineering, Sherbrooke, QC, Canada and ML Levent Kavvas, Univ California Davis, Davis, CA, United States
Primary Liaison:  Andrew W Wood, National Center for Atmospheric Research, Boulder, CO, United States
Chairs:  Andrew W Wood, National Center for Atmospheric Research, Boulder, CO, United States, Marie-Amelie Boucher, Université de Sherbrooke, Département de génie civil et de génie du bâtiment, Sherbrooke, QC, Canada, ML Levent Kavvas, Univ California Davis, Davis, CA, United States and Paulin DL Coulibaly, McMaster University, Department of Civil Engineering, Hamilton, ON, Canada
OSPA Liaison:  Marie-Amelie Boucher, Université de Sherbrooke, Département de génie civil et de génie du bâtiment, Sherbrooke, QC, Canada
Index Terms:

1816 Estimation and forecasting [HYDROLOGY]
1821 Floods [HYDROLOGY]
1847 Modeling [HYDROLOGY]
1860 Streamflow [HYDROLOGY]

Abstracts Submitted to this Session:

Is the best hydrological model in calibration also the best one after data assimilation? (Invited) (407342)
Francois Anctil1, Carine Poncelet1, Gregory Seiller2 and Antoine Thiboult1, (1)Laval University, Civil and Water Engineering, Quebec City, QC, Canada, (2)Laval University, QUEBEC, QC, Canada
Modeling Rapid Flood Propagation in Andean Rivers: High-Resolution Simulations and Surrogate Models for Early Warning Systems (451873)
Mari­a Teresa Contreras Vargas, University of Notre Dame, Department of Civil & Environmental Engineering & Earth Sciences, Notre Dame, IN, United States, Jorge A Gironas, Universidad Catolica, Santiago, Macul, Chile, Joannes J Westerink, Univ Notre Dame, Notre Dame, IN, United States and Cristian R Escauriaza, Pontifical Catholic University of Chile, Hydraulic and Environmental Engineering, Santiago, Chile
The Hydrological Application of Radar Rainfall Nowcasting in the Netherlands (362839)
Danny Heuvelink1, Claudia Brauer1, Marc Berenguer2, Daniel Sempere-Torres2 and Remko Uijlenhoet3, (1)Wageningen University and Research, Hydrology and Quantitative Water Management Group, Wageningen, Netherlands, (2)Universitat Politecnica de Catalunya, Centre de Recerca Aplicada en Hidrometeorologia, Barcelona, Spain, (3)Wageningen University and Research, Environmental Sciences, Wageningen, Netherlands
Hydrological post-processing of streamflow forecasts issued from multimodel ensemble prediction systems (364501)
Jing Xu, Université Laval, Department of Civil and Water Engineering, Quebec City, QC, Canada, Francois Anctil, Laval University, Civil and Water Engineering, Quebec City, QC, Canada and Marie-Amelie Boucher, Université de Sherbrooke, Department of Civil Engineering, Sherbrooke, QC, Canada
An Automated Framework for Creating Hyper Resolution Hydrodynamic Models for Large Watersheds (460428)
Sayan Dey, Saint Louis University Main Campus, Department of Earth, Environmental and Geospatial Science, Saint Louis, United States, Siddharth Saksena, Virginia Polytechnic Institute and State University, Civil and Environmental Engineering, Blacksburg, United States and Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, IN, United States
Flood inundation mapping using bathymetry-adjusted HAND model (417331)
Zhe Li1, Fernando Renzo Salas2, Bradford Bates3 and Shawn Carter1, (1)UCAR/NOAA National Water Center, Tuscaloosa, AL, United States, (2)NOAA, Geospatial Intelligence Division, Office of Water Prediction, National Water Center, Tuscaloosa, United States, (3)Lynker Technologies/NOAA National Water Center, Tuscaloosa, AL, United States
Nonstationary index-flood models for threshold-Based methods: from threshold modeling to nonstationary return period (386013)
Martin Durocher, University of Waterloo, Waterloo, ON, Canada, Donald H Burn, University of Waterloo, Civil and Environmental Engineering, Waterloo, ON, Canada, Shabnam Mostofi Zadeh, University of Waterloo, Waterloo, Canada and Fahim Ashkar, University of Moncton, Moncton, Canada
On Regional Estimation of Floods for Partially-Gaged or Ungaged Sites (354969)
Van-Thanh-Van Nguyen, McGill University, Montreal, QC, Canada

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