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Yi Hong
Cooperative Institute for Great Lakes Research, University of MichiganMeeting roles in:
Co-design as an Approach to Facilitating R2O Transitions in Water Management: an Example From the Great Lakes
High-Resolution Flood Assessment and Forecasting in the Great Lakes Basin using Hydrological-Hydrodynamic Models and Socioeconomic Indicators
Advancing 9-Month Hydrologic Forecasts for Large Transboundary Basins: A Case Study in the Great Lakes Region
Demonstrating the Next-Generation Great Lakes Operational Forecasting System
Advancing Water Science Through Artificial Intelligence: Lessons, Strategies, and New Frontiers I Oral
Advancing Water Science Through Artificial Intelligence: Lessons, Strategies, and New Frontiers II Poster
Using Entity-Aware LSTM to Enhance Streamflow Predictions in Transboundary and Large Lake Basins
Advancing Streamflow Prediction in Ungauged Basins of the Great Lakes Region Using LSTM
Advancing Seasonal-to-Subseasonal Predictions of Net Basin Supply Components in the North American Great Lakes Using Machine Learning
Evaluating HRRR and GLCFS Model Performance Using Case Studies of GLEN Heat and Moisture Flux Observations
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