LC
Member Since 2011
Laura E. Condon
Associate Professor, University of Arizona
Professional Experience
University of Arizona
Associate Professor
2018 - Present
Education
Doctorate
2015
Honors & Awards
Hydrologic Sciences Early Career Award
Received December 2021
Outstanding Reviewer Award - Geophysical Research Letters
Received December 2015
Publications
Spatio‐Temporal Machine Learning for Regional to Continental Scale Terrestrial Hydrology

Integrated hydrologic models can simulate coupled surface and subsurface processes but are computationally expensive to run at high resolutions ove...

June 12, 2024
AGU Abstracts
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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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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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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