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Scott Hamshaw
U.S. Geological SurveyMeeting roles in:
Scalable Nested Deep Learning Framework for Real-Time Water Quality Forecasting Across Tributary Networks
Spatiotemporal Turbidity Prediction in River Systems using Graph Neural Networks
Leveraging Big Data and Big Models to Expand Process Understanding and Water Quality Predictions
Machine Learning Generated Streamflow Drought Forecasts for the Conterminous United States (CONUS): Developing and Evaluating an Operational Tool to Enhance Sub-seasonal to Seasonal Streamflow Drought Early Warning for Gaged Locations
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