With the rise of extreme weather events due to climate change, floods are proving to be more challenging to predict. McMaster University engineering professor, and director of FloodNet, Paulin Coulibaly, is helping develop a forecasting tool that will predict floods.
While current flood forecasting heavily relies on the weather forecast, which loses its accuracy beyond three days, the Canadian Adaptive Flood Forecasting and Early Warning System (CAFFEWS) tool aims to address this challenge using significant advanced data from Ontario, British Columbia and Manitoba.
Coulibaly is aiming for the tool to be easy-to-use in order for people across different levels of decision-making to better mitigate potentially destructive and deadly floods. Ultimately, the tool will also enable users to simulate events for the purposes of outcome modelling.
For more information, visit McMaster University.
