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Member Since 2023
Patrick J. Clemins
Director, Research Computing and Data, Large Research Initiatives, University of Vermont
AGU Research
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GeoS2Py: Simplifying Advanced Sentinel-2 Data Access
ADVANCED STATISTICAL METHODS AND DEVELOPMENT OF INDICES FOR THE EARTH SCIENCES: INNOVATIONS IN CLIMATOLOGY, METEOROLOGY, AND OCEANOGRAPHY II POSTER
global environmental change | 13 december 2024
Muhammad Adil, Panagiotis D. Oikonomou, Patrick J....
Earth observation data from Sentinel-2 satellites is essential for geosciences, environmental monitoring, and land-use analysis. However, accessing an...
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Tailoring RNN Architectures for Improved Turbidity Forecasts
ADVANCEMENTS IN WATERSHED MODELING TO SUPPORT WATER MANAGEMENT IV POSTER
hydrology | 13 december 2024
Shaurya Swami, Kristen Underwood, Donna Rizzo, Pat...
Traditional regression models often struggle with accurately forecasting water quality in complex catchment systems. Deep learning models, specificall...
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Using Interpretable Machine Learning to Reveal Processes Driving Baseflow Regimes Across CONUS
ADVANCEMENTS IN WATERSHED MODELING TO SUPPORT WATER MANAGEMENT IV POSTER
hydrology | 13 december 2024
Ryan van der Heijden, Ali Dadkhah, Amin Aghababaei...
The benefits of interpretable machine learning (ML) include understanding the complex interactions between model inputs and outputs, the reasons behin...
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A Framework for Assessing Forecast Skill across Scales in Integrated Early Warning Systems: Insights from cyanoHAB-IEWS in Northeastern Lake Champlain
MONITORING, PREDICTION, AND MITIGATION OF HARMFUL ALGAL BLOOMS (HABS) II POSTER
hydrology | 13 december 2024
Panagiotis D. Oikonomou, Muhammad Adil, Patrick J....
Advancements in computational capabilities have allowed us to achieve higher spatial and temporal modeling resolutions and to couple computationally i...
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Distinguishing hydraulically-distinct floodplain types from high resolution topography with implications for broad-scale flood routing
SCIENCE TO UNDERSTAND, MANAGE, AND RESTORE FLOODPLAINS, WATERSHEDS, AND AQUATIC HABITATS I ORAL
earth and planetary surface processes | 12 december 2024
Rebecca M. Diehl, Scott Lawson, Kristen Underwood,...
Floodplains can have a significant impact on the routing of flood waves across the landscape, yet their representation in broad-scale water resource a...
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AI Framework to Model Chlorophyll Concentration Using Sentinel 2 Data in Inland Waters Across CONUS
ADVANCEMENTS IN REMOTE SENSING, HYDROLOGIC MODELING, DATA ASSIMILATION, AND MACHINE LEARNING FOR TERRESTRIAL WATER CYCLE VI POSTER
hydrology | 10 december 2024
Muhammad Adil, Panagiotis D. Oikonomou, Donna Rizz...
Remote sensing-based chlorophyll monitoring plays a crucial role in providing early warnings of water eutrophication and assessing phytoplankton bioma...
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Water Resources Testbeds: Building Communities for Computational Tools, Data Availability, and Interoperability
ADVANCING THE STATE OF THE SCIENCE OF WATER RESOURCES MODELING: WHAT’S NEXT FOR COMMUNITY DEVELOPMENT AT THE INTERSECTION OF DOMAIN, COMPUTER, DATA, AND DECISION SCIENCES II ORAL
hydrology | 10 december 2024
Patrick J. Clemins, Asim Zia, Scott Turnbull, Noah...
Building the computational infrastructure required to advance water resources modeling at the continental and regional scales requires intense collabo...
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Predicting Land Use Land Cover Change with Deep Reinforcement Learning enabled Agent Based Models by Simulating Adaptive Human System Feedback in Multi-Scale Human-Land-Environment Interactions
MULTISECTOR DYNAMICS: SCIENCE AND MODELING FOR SOCIETAL TRANSFORMATION III ORAL
global environmental change | 10 december 2024
Asim Zia, Kevin Andrew, Rakhshinda Bano, Scott Tur...
Improved understanding and prediction of Land Use Land Cover Change (LULCC) in Earth System Models (ESMs) is critical for simulating global environmen...
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