Theme 2
Research

Quantifying and Reducing the Predictive Uncertainty of Floods –  Projects

Prediction and decision-making in aquatic environments requires a diversified approach to monitoring, modelling, and risk assessment. Theme 2 addresses the challenges associated with the reduction and quantification of predictive uncertainty in the management of water resources. To achieve this, the research will process uncertainty through a complete vertical chain of models and techniques exploiting operational meteorological ensemble forecasts, a sound hydrological ensemble prediction system, including a probabilistic streamflow assimilation scheme, and water resources management tools. This theme will contribute to the design of the Canadian flood forecasting system to be developed in Theme 3

Theme Leader:

Professor François Anctil (Université Laval)
Department of Civil Engineering and Water Engineering
Email:  francois.anctil@gci.ulaval.ca

Co-Leader:

Professor Peter Rasmussen (University of Manitoba)
Department of Civil Engineering
Email:  Peter.Rasmussen@umanitoba.ca