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  1. AGU Members
  2. Patrick J. Clemins
PC
Member Since 2023
Patrick J. Clemins
Director, Research Computing and Data, Large Research Initiatives, University of Vermont
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Professional Experience
University of Vermont
Director, Research Computing and Data, Large Research Initiatives
2012 - Present
Education
Marquette University
Doctorate
2005
Patrick's AGU Research
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Advancing Predictive Skill of a Cyanobacterial HAB Integrated Early Warning System in Northeastern Lake Champlain Toward Operational Implementation
LAKES AND INLAND WATER BODIES I POSTER
hydrology | 18 december 2025
Next Generation AI-Enabled Precipitation Estimate Workflows for River Forecast Centers
NEW DEVELOPMENTS AND FUTURE DIRECTIONS IN COMMUNITY WATER RESOURCES MODELING: SYNERGY AT THE INTERFACE OF PROCESS UNDERSTANDING, ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, OPERATIONS, AND DECISION-MAKING IV POSTER
hydrology | 18 december 2025
Leveraging Big Data and Big Models to Expand Process Understanding and Water Quality Predictions
FRONTIERS IN WATER QUALITY II ORAL
hydrology | 17 december 2025
A Modular High-Performance Computing Framework for Forecast Skill Assessment of Cyanobacterial Harmful Algal Bloom Prediction Systems
NEW DEVELOPMENTS AND FUTURE DIRECTIONS IN COMMUNITY WATER RESOURCES MODELING: SYNERGY AT THE INTERFACE OF PROCESS UNDERSTANDING, ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, OPERATIONS, AND DECISION-MAKING II ORAL
hydrology | 17 december 2025
A machine learning approach to improve the spatiotemporal resolution of actual evapotranspiration estimates by upscaling eddy covariance tower measurements to the field scale
SURFACE-ATMOSPHERE INTERACTIONS: MULTISENSOR INTEGRATION FOR REAL-WORLD IMPACT II ORAL
biogeosciences | 17 december 2025
Co-designing Artificial Intelligence augmented Hydroclimatic Regime-shift Early Warning Early Action Lead System (AI-Hydro-REWEALS) in Transboundary Lake Champlain Basin
ADVANCEMENT IN HYDROLOGIC REGIME ANALYSIS: APPLICATIONS IN ECOHYDROLOGY, MODELING, AND TREND ANALYSIS I ORAL
hydrology | 17 december 2025
Multi Modal Learning for Forecasting Maximum Chlorophyll Index and Peak Height in Lake Champlain
ADVANCING WATER QUALITY MONITORING AND MANAGEMENT THROUGH REMOTE SENSING AND ARTIFICIAL INTELLIGENCE II ORAL
hydrology | 17 december 2025
Scalable Nested Deep Learning Framework for Real-Time Water Quality Forecasting Across Tributary Networks
APPLICATIONS OF MACHINE LEARNING IN LARGE-SCALE HYDROLOGY AND WATER QUALITY MODELING III POSTER
hydrology | 15 december 2025
Volunteer Experience
2024 - 2026
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Science and Society Executive Committee