Research Agricultural Engineer
Civil and Environmental Engineering
Fields of Expertise
Agriculture, Hydrology, Soil Science, Watershed Science
Areas of Interest
Agricultural water, Climate change/variability, Ecosystems services, Sensor technology, Soil physics
Dr. Green is a research scientist with the USDA Agricultural Research Service (ARS) and Faculty Affiliate in the Department of Civil and Environmental Engineering. He has Ph.D. and M.S. degrees in Civil and Environmental Engineering from Stanford University, and a B.S. degree in Civil Engineering from the University of Washington. Dr. Green's research is focused primarily on understanding water movement in complex terrain and soils as it relates to plant dynamics, and how to characterize and scale spatial patterns of terrain, soil, water and plant variables. He has conducted field-based measurements of these spatial and temporal variables for scaling and modeling of soil hydrology, including surface run-off/on, infiltration and subsurface water fluxes in heterogeneous media. Previously, Dr. Green was a Senior Scientist with CSIRO Australia, Land & Water. Dr. Green's international work includes simulation of projected climate change effects on groundwater recharge, which led to membership on a UNESCO panel of experts to assess climate change related to subsurface water. Dr. Green was a guest professor with the Institute for Terrestrial Ecosystems at the Swiss Federal Institute of Technology (ETH) in Zurich, Switzerland (2005). The Brazilian science foundation (CNPq) funded three visits (2015-2017) for collaboration with Embrapa Environment to measure and model effects of reforestation tied to payments for ecosystem services on streamflow and water quality. Dr. Green also collaborates with colleagues at: University of Trento, Italy; Inner Mongolia Agricultural University, China; and United Arab Emirates University. Collaborative studies span various topics to address agricultural ecosystems services (AgES) through measurement and simulation. His team at ARS works closely with the Object Modeling System (OMS) Laboratory to develop, test, deploy and apply the AgES (pronounced "ages") watershed model and other tools as web services.