LC
Member Since 2011
Laura E. Condon
Associate Professor, University of Arizona
AGU Research
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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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Improving subsurface characterization with ensemble modeling and machine learning based inversion methods
ADVANCES IN DATA ASSIMILATION AND UNCERTAINTY QUANTIFICATION FOR WATER RESOURCES MANAGEMENT I ORAL
hydrology | 14 december 2023
Andrew Bennett, Amanda Triplett, Yueling Ma, Peter...
Determining subsurface parameters is an essential and difficult challenge in developing hydrologic models due to lack of observations, scale issues, a...
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Exploring Catchment Regionalization through the Eyes of HydroLSTM
MACHINE LEARNING FOR HYDROLOGIC MODELING VII ORAL
hydrology | 14 december 2023
Luis De la Fuente, Hoshin V. Gupta, Laura E. Condo...
Regionalization is an issue that hydrologists have been working on for decades. It is used, for example, when we transfer parameters from one calibrat...
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Reflection on a ‘Yes and’ approach to national groundwater simulation: Combining machine learning, observations, and physically based modeling to better represent a sparsely observed system
DATA LEARNING FOR EARTH SYSTEM MODELING AND BEYOND POSTER
hydrology | 12 december 2023
Laura E. Condon, Andrew Bennett, Yueling Ma, Amand...
It is well established that groundwater is a critical component of the terrestrial hydrologic cycle. Groundwater is important both for its sheer volum...
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An Inquiry into Groundwater Depletion Using ParFlow-CONUS2, a Continental-Scale, Integrated Hydrologic Model
ADVANCING HYDROLOGIC MODELING AND PREDICTION USING LARGE-DOMAIN METEOROLOGICAL AND HYDROLOGIC DATASETS II ORAL
hydrology | 12 december 2023
Danielle Tijerina Kreuzer, Yueling Ma, Chen Yang, ...
Integrated hydrological models, which represent subsurface, surface, and energy-budget processes, are effective tools for representing interactions be...
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AI-Derived Hyper-Resolution Water Table Depth Estimates over the Contiguous US
DATA LEARNING FOR EARTH SYSTEM MODELING AND BEYOND POSTER
hydrology | 12 december 2023
Yueling Ma, Julian Koch, Amy Defnet, Laura E. Cond...
Groundwater is an important freshwater resource in the US, and plays a critical role in supplying drinking water, guaranteeing food security, supporti...
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Chapter 4 - Water - The Fifth National Climate Assessment
THE FIFTH NATIONAL CLIMATE ASSESSMENT: RISKS, IMPACTS, AND RESPONSES POSTER
science and society | 12 december 2023
Elizabeth A. Payton, Ariane O. Pinson, Tirusew Ase...
This poster is part of the Fifth National Climate Assessment (NCA5) poster series. NCA5 Chapter 4 - Water describes how a changing climate profoundly ...
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