-
Patrick Clemins
University of VermontMeeting roles in:
Scalable Nested Deep Learning Framework for Real-Time Water Quality Forecasting Across Tributary Networks
Post-Processing HAB Forecasts: A Bias Correction and Elasticity Assessment Using Ensemble and Machine Learning Methods
Leveraging Big Data and Big Models to Expand Process Understanding and Water Quality Predictions
Co-designing Artificial Intelligence augmented Hydroclimatic Regime-shift Early Warning Early Action Lead System (AI-Hydro-REWEALS) in Transboundary Lake Champlain Basin
A Modular High-Performance Computing Framework for Forecast Skill Assessment of Cyanobacterial Harmful Algal Bloom Prediction Systems
Multi Modal Learning for Forecasting Maximum Chlorophyll Index and Peak Height in Lake Champlain
A machine learning approach to improve the spatiotemporal resolution of actual evapotranspiration estimates by upscaling eddy covariance tower measurements to the field scale
Advancing Predictive Skill of a Cyanobacterial HAB Integrated Early Warning System in Northeastern Lake Champlain Toward Operational Implementation
Next Generation AI-Enabled Precipitation Estimate Workflows for River Forecast Centers
Enter Note
Go to previous page in this tab
Author/Chair
