James Knighton

Dr. James Knighton serves as an Assistant Professor in the Department of Natural Resources and the Environment at the University of Connecticut, where he integrates large datasets with physically-based hydrologic models and advanced data analytics to address critical water resource challenges.

Education:

• PhD in Biological and Environmental Engineering, Cornell University (2019)
• MA in Environmental Studies, University of Pennsylvania (2013)
• BS in Civil Engineering, Drexel University (2007)

His research centers on physical hydrology and ecohydrology, with particular emphasis on ecohydrological separation mechanisms, tree water uptake dynamics influenced by rooting structures, and climate downscaling methodologies. He employs cutting-edge data science techniques to analyze watershed processes and flood systems across multiple spatial scales.

Analysis of his 11 publications (2017-2020) reveals a strong methodological trend combining machine learning with traditional hydrologic modeling, especially for flood prediction and socio-environmental systems. His work consistently utilizes stable water isotopes to investigate ecohydrological processes, spanning from localized catchment studies to continental-scale analyses of forest-water interactions.

Scientific Awards:

• National Socio-Environmental Synthesis Center Postdoctoral Fellow (2018)
• American Geophysical Union Horton Research Grant (2017)

Dr. Knighton teaches undergraduate courses in watershed hydrology and natural resources measurements, along with graduate courses in environmental data analysis and small watershed modeling. His professional trajectory includes significant research roles at SESYNC, Cornell University, and the Philadelphia Water Department, demonstrating continuous engagement with both academic and applied water management contexts.