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Dani Jones
University of MichiganMeeting roles in:
Informing Great Lakes Observing System Design with Convolutional Gaussian Neural Processes
Co-design as an Approach to Facilitating R2O Transitions in Water Management: an Example From the Great Lakes
Operationalization of hydroclimate research within Great Lakes adaptive management: recent successes, challenges, and science priorities
Advancing 9-Month Hydrologic Forecasts for Large Transboundary Basins: A Case Study in the Great Lakes Region
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
Deep Learning Approach for the Prediction and Historical Reconstruction of Spatial Ice Cover in the Laurentian Great Lakes
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