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A Deep‐Learning Based Parameter Inversion Framework for Large‐Scale Groundwater Models
GEOPHYSICAL RESEARCH LETTERS
23 april 2025
Amanda Triplett, Andrew Bennett, Laura E. Condon, ...
Hydrogeologic models generally require gridded subsurface properties, however these inputs are often difficult to obtain and highly uncertain. Para...
Investigating the impacts of water management on drought using ParFlow, a fully integrated physical hydrology model
ADVANCEMENTS IN WATERSHED MODELING TO SUPPORT WATER MANAGEMENT V POSTER
hydrology | 13 december 2024
Benjamin West, Laura E. Condon
Droughts have had a growing impact on both natural resources and human infrastructure. Human modification of drought, for example through changing res...
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A HydroLSTM-based Machine-Learning Approach to Discovering Regionalized Representations of Catchment Dynamics
MACHINE LEARNING AND GENERATIVE AI FOR HYDROLOGIC AND RIVER MODELING II POSTER
hydrology | 13 december 2024
Luis De la Fuente, Andrew Bennett, Hoshin V. Gupta...
Spatial transferability of calibrated hydrologic model parameters, known as regionalization, is challenging due to the many sources of heterogeneity, ...
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Exploring Local Variability in Long-Term Groundwater trends and Drought Response across Arizona
ADVANCES IN ECOHYDROLOGY OF WATER-LIMITED ENVIRONMENTS III POSTER
hydrology | 11 december 2024
Danielle Tadych, Laura E. Condon, Bonnie G. Colby
Arizona is an interesting case study for groundwater management due to the large complexity ingroundwater legislation, land use, and access to surface...
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Data Challenge in Large-Scale Groundwater Modeling Using Machine Learning
MACHINE LEARNING, DATA ANALYTICS, AND DATA ASSIMILATION FOR EARTH SYSTEM MODELING AND DISCOVERY I POSTER
hydrology | 10 december 2024
Yueling Ma, Danielle Tijerina Kreuzer, Amy Defnet,...
Machine learning (ML) has become more prominent in groundwater hydrology in recent years. Despite its success in estimating water table depth (WTD) fr...
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Declining Reservoir Reliability and Increasing Reservoir Vulnerability: Long‐Term Observations Reveal Longer and More Severe Periods of Low Reservoir Storage for Major United States Reservoirs
GEOPHYSICAL RESEARCH LETTERS
22 august 2024
Caelan Simeone, John C. Hammond, Stacey A. Archfie...
Hydrological drought is a pervasive and reoccurring challenge in managing water resources. Reservoirs are critical for lessening the impacts of dro...
Spatio‐Temporal Machine Learning for Regional to Continental Scale Terrestrial Hydrology
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
12 june 2024
Andrew Bennett, Hoang Tran, Luis De la Fuente, Ama...
Integrated hydrologic models can simulate coupled surface and subsurface processes but are computationally expensive to run at high resolutions ove...
Demonstrating a New Reservoir Implementation in ParFlow, a Fully Integrated Physical Hydrology Model
ADVANCES IN COUPLED HUMAN-NATURAL SYSTEMS MODELING TO IMPROVE HYDROLOGIC FORECASTING POSTER
hydrology | 15 december 2023
Benjamin West, Reed M. Maxwell, Laura E. Condon
Recent advancements in computational and earth systems modeling have enabled increasingly high-fidelity models of hydrologic systems, which are critic...
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