Exploring the Potential of Coupling Data-Driven Root-Distribution Estimation with Process-Based Hydrological Modeling for Improved Water-Balance Simulations
Hoori Ajami, University of California Riverside, Environmental Sciences, Riverside, CA, United States, Bing Li, University of California Riverside, Riverside, United States, Daniel Hirmas, Texas Tech University, Department of Plant and Soil Science, Lubbock, United States, Sharon A Billings, University of Kansas, Department of Ecology and Evolutionary Biology and Kansas Biological Survey and Center for Ecological Research, Lawrence, KS, United States, Jesse B Nippert, Kansas State University, Biology, Manhattan, United States, Kamini Singha, Colorado School of Mines, Department of Geology and Geological Engineering, Golden, CO, United States, Matthew Amato, University of California Riverside, Department of Environmental Sciences, Riverside, United States, Alejandro N Flores, Boise State University, Department of Geosciences, Boise, ID, United States, Li Li, Pennsylvania State University Main Campus, Department of Civil and Environmental Engineering, University Park, United States and Pamela L Sullivan, Oregon State University, College of Earth, Ocean, and Atmospheric Sciences, Corvallis, United States