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  1. AGU Members
  2. Laura E. Condon
Member Since 2011
Laura E. Condon
Professor, University of Arizona
Member, Hydrologic Sciences Early Career Award Committee
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Professional Experience
University of Arizona
Professor
2018 - Present
Syracuse University
Assistant Professor
2016 - 2018
Education
Colorado School of Mines
Doctorate
2015
Colorado School of Mines
Masters
2012
Columbia University
Bachelors
2008
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Laura's AGU Research
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Inverse Machine Learning for 3D Subsurface Characterization and Pumping Estimation in CONUS-Scale Models
MACHINE LEARNING AND DATA ASSIMILATION FOR TERRESTRIAL HYDROLOGIC MODELING AND DISCOVERY I POSTER
hydrology | 18 december 2025
Advancing integrated continental scale hydrology through democratized data and ml-accelerated modeling.
BRIDGING SCALES AND SYSTEMS: ADVANCES IN REGIONAL EARTH SYSTEM AND HYDROCLIMATE MODELING FOR EXTREMES, IMPACTS, AND DECISION SUPPORT III ORAL
atmospheric sciences | 17 december 2025
Reflections on the future of physical understanding in a data driven world
2025 NEW GENERATION OF SCIENTISTS I
union sessions | 16 december 2025
High-Dimensional Calibration of Hydrologic Models Using Simulation-Based Inference (SBI)
ADVANCING WATERSHED SCIENCE THROUGH HYBRID MACHINE LEARNING AND PHYSICAL MODELING I ORAL
hydrology | 15 december 2025
Streamlining Integrated Hydrologic Modeling at Continental Scale: A Workflow for Quasi–Real-Time ParFlow-CLM Simulations over CONUS
ADVANCES IN INTEGRATED HYDROLOGIC MODELING II ORAL
hydrology | 15 december 2025
Testing the robustness of deep learning-based rainfall-runoff models using a climatologically derived perturbation experiment
ADVANCING WATERSHED SCIENCE THROUGH HYBRID MACHINE LEARNING AND PHYSICAL MODELING III POSTER
hydrology | 15 december 2025
Using Integrated Hydrologic Modeling to Investigate the Spatiotemporal Characteristics of Droughts in Catchments with Human Water Management
UNDERSTANDING AND QUANTIFYING THE HUMAN IMPACTS ON THE WATER CYCLE II ORAL
hydrology | 15 december 2025
Downscaling Surface Inundation Produced by Integrated Hydrologic Models Using a Random Forest Model
ADVANCING WATERSHED SCIENCE THROUGH HYBRID MACHINE LEARNING AND PHYSICAL MODELING III POSTER
hydrology | 15 december 2025
Volunteer Experience
2026 - 2027
Member
Hydrologic Sciences Early Career Award Committee
Honors & Awards
Union Fellow
Received 2025
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James B. Macelwane Medal
Received 2025
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Outstanding Reviewer Award - Water Resources Research
Received 2024
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