Project 3-4
Theme 3

Development of Canadian Adaptive Flood Forecasting and Early Warning System (CAFFEWS)

Leader:

Dr. Paulin Coulibaly (McMaster University)
Email:  couliba@mcmaster.ca

Co-investigators:

Dr. Amin Elshorbagy (University of Saskatchewan)
Email:  amin.elshorbagy@usask.ca

Dr. Aaron Berg (University of Guelph)
Email:  aberg@uoguelph.ca

Dr. Bryan Tolson (University of Guelph)
Email:  btolson@uwaterloo.ca

Dr. François Anctil (Université Laval)
Email:  francois.anctil@gci.ulaval.ca

Dr. Peter Rasmussen (University of Manitoba)
Email:  Peter.Rasmussen@umanitoba.ca

Objective: Develop a forward-looking flood forecasting tool (i.e., CAFFEWS) that includes adaptive structures for assimilating new technology and new data/information as they become available, and which can be adapted to different regions of Canada for enhanced flood forecasting.

Significance: Accurate and reliable flood forecasts are fundamental to enhanced flood mitigation and can be obtained by developing an advanced flood forecasting system. The development of CAFFEWS will contribute significantly to enhancing the national capacity for flood forecasting, which is one of the key targets of FloodNet.

Outcomes: To deliver an adaptive flood forecasting and early warning system for Canada.