10:30 AM - 10:50 AM Abstract ID: 51 Riding the AI Wave: Development and Evaluation of Deep Learning Models for Streamflow Forecast in Southwestern Alberta Presenter: Raymond Xu, University of Alberta, BGC Engineering Inc. Additional Authors: Rahel Kidanu, University of Alberta, Evan G.R. Davies, University of Alberta
10:50 AM - 11:10 AM Abstract ID: 8 Development and Deployment of a Machine Learning Based Model for North America-Wide Hydrometric Flow Forecasting Presenter: Trevor Boston, Greenland Consulting Additional Authors: Steven French 11:10 AM - 11:30 AM Abstract ID: 25 Towards an understanding of model uncertainties associated with the probable maximum flood Presenter: Elise Legarth, University of British Columbia Additional Authors: Roland Stull, UBC. Sean Fleming, UBC.
11:30 AM - 11:50 AM Abstract ID: 156 Input Variable Selection for Developing Machine Learning-Based Seasonal Streamflow Forecasting Models Presenter: Duc Hai Nguyen, University of Saskatchewan Additional Authors: Amin Elshorbagy, Department of Civil, Geological, and Environmental Engineering, University of Saskatchewan, Saskatoon, SK, Canada; Muhammad Naveed Khaliq, Ocean, Coastal, and River Engineering Research Centre, National Research Council Canada, Ottawa, ON, Canada;
