Grant: Canada Research Chairs

Hydrological models are regularly employed for water resources management, hydroelectricity generation, flood warning systems, and climate change adaptation; however, their ability to provide useful predictions is constrained by the inherent assumptions that are used to represent the water cycle (referred to as ¿model structure¿). This research aims to improve the accuracy of hydrological models and provide strategies to address the inevitable uncertainty in model structure via the development of novel structural optimization, upscaling, and model selection methods. The resultant, more robust models will enable informed decision-making regarding Canada¿s water resources, thereby helping to protect the environment and improve public safety.