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Timothy R. Green, PhD.


Appointments


Research Hydrologist Civil and Environmental Engineering

Contact Info


Phone: (970) 492-7403   Office: 2150-D Centre Ave. #320; 80526

Email: tim.green@ars.usda.gov   Lab:

Website: http://www.ars.usda.gov/pandp/people/people.htm?personid=11067

Fields of Expertise


1.) Hydrology
2.) Soil Science

Areas of Interest


 agricultural waterclimate change/variabilityecosystems servicessensor technologySoil physics soil waterSpace-time scalingwatershed modeling

Biography


Dr. Green is a research scientist with the USDA Agricultural Research Service (ARS) and Faculty Affiliate in the Department of Civil and Environmental Engineering. Previously, Dr. Green was a Senior Scientist with CSIRO Australia, Land & Water. 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. 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. In 2005, Dr. Green was a guest professor with the Institute for Terrestrial Ecosystems at the Swiss Federal Institute of Technology (ETH) in Zurich, Switzerland. The Brazilian science foundation (CNPq) funded a collaborative project (2015-2017) with Embrapa Environment to measure and model effects of reforestation tied to payments for ecosystem services on streamflow and water quality. Dr. Green collaborates with colleagues at: University of Trento, Italy regarding frameworks and models of agricultural and environmental systems; Inner Mongolia Agricultural University, China regarding large-scale watershed modeling for water and nutrient conservation; and United Arab Emirates University regarding agricultural water management. Ongoing local and national 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.