Research using RHESSys presented at the 2024 AGU Conference in Washington DC, as well as presentations by Tague Team Lab colleagues and collaborators.
RHESSys
Grace Stephenson, Naomi Tague, Janet Choate – UC Santa Barbara
Eco-hydrological Modeling of Post-fire Recovery in Central California Coastal Watersheds
Lawrence E Band, Rouyu Zhang, Daniel Pelletier – University of Virginia
Patterns and Pathways to Equitable Ecohydrologic Evolution in Urban Watersheds
Tejendra Kandel, Ruoyu Zhang, Conghe Song, Lawrence Band – University of Virginia
Ecohydrological Impacts of Forest Management in the Saradha Khola Watershed, Western Nepal: Insights from RHESSys Modeling
Ruoyu Zhang, Lawrence Band – University of Virginia
Prediction of spatiotemporal patterns of denitrification in a suburban watershed using a Encoder-Decoder network
Hanne Borstlap, Lawrence Band, Qingguang Zhu, Patricia Wiberg –
University of Virginia
Surging Seas and Saline Soils: Coupled Coastal Surge and Terrestrial Ecohydrology to Assess Soil salinization
Asim Zia, Panagiotis Oikonomou, Patrick Clemins, Andrew Schroth – University of Vermont
Co-producing hydroclimatic forecasts and evaluating their impact on nutrient budgeting and abatement costs for securing clean water in transboundary Missisquoi bay of Lake Champlain, 2000-2050
Daniel Pelletier, Lawrence Band, Ruoyu Zhang – University of Virginia
Improving Rainfall-Runoff Simulations with a Coupled Eco-hydrological and Hydrodynamic Modelling Approach
Collaborators
Nicole Hornslein, et al. – University of Colorado Boulder
Gordon Gulch (CO, USA): A Phenomenal Testbed for Advancing Critical Zone Science
Annette Elizabeth Hilton, et al. – University of California Santa Barbara
Rescuing Historical Water Data–Machine Learning for Data Digitization of the U.S. Geological Survey Archives
Former Tague Team Lab students
Aubrey L Dugger, et al. – National Center for Atmospheric Research
Integrated Modeling to Assess Delaware River Basin Water Resource Vulnerability to Drought
Christopher Heckman – Wake Forest University
How uncertainty in data products influences estimates of root zone water storage capacity by altering observed climate
The Tague Team Lab 