Neil C Terry, PhD
Neil C Terry, PhD is a a research hydrologist at the USGS New York Water Science Center.
I am a research hydrologist at the USGS New York Water Science Center, where I specialize in near-surface geophysics, modeling, and water-related projects. Particular focus areas include groundwater quality monitoring, hydrogeological characterization, contaminant detection, and groundwater-surface water interactions. I also lead and support software/methods development efforts, specifically focusing on linking electrical geophysical measurements with soil and hydrogeological properties.
Prior to joining the USGS, my PhD work at Rutgers University centered around hydrogeophysical approaches to characterize and study processes occurring in wetlands - particularly carbon gas cycling in peatlands. During this time, I also participated in critical zone characterization and archaeological studies, among other projects. My MS work at the University at Buffalo primarily involved linking geophysical data to soil moisture distributions through coupled geophysical and unsaturated flow models in a Bayesian framework.
Professional Experience
A research hydrologist at the USGS New York Water Science Center.
Education and Certifications
PhD at Rutgers University
MS at the University of Buffalo
Science and Products
Geophysical Data Collected for an Assessment of a Proposed Landfill Site in Fredericktown, Missouri, June 2018
Surface Geophysical data collected along Blacktail Creek in June 2017 near Williston, North Dakota, USA
Near-surface geophysical data collected along streams near Silverton, Colorado, USA (ver. 2.0, May 2022)
Hydrologic, biogeochemical, and radon data collected within and adjacent to the Little Wind River near Riverton, Wyoming
Raw Data from Continuous Resistivity Profiles and Electromagnetic Surveys Collected in and adjacent to the Dolores River in the Paradox Valley, Colorado (2017)
Geophysical data from the unnamed lake at the National Crude Oil Spill Fate and Natural Attenuation Research Site, Bemidji, MN (ver. 3.0, May 2022)
2016-2017 Geophysical data from the Kuparuk aufeis, North Slope, AK
Geophysical data collected within and adjacent to the Little Wind River near Riverton, Wyoming
Example data from MoisturEC: a new R program for moisture content estimation from electrical conductivity data
Geophysical assessment of a proposed landfill site in Fredericktown, Missouri
Wetland-scale mapping of preferential fresh groundwater discharge to the Colorado River
MoisturEC: a new R program for moisture content estimation from electrical conductivity data
Scenario Evaluator for Electrical Resistivity survey pre-modeling tool
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
Geophysical Data Collected for an Assessment of a Proposed Landfill Site in Fredericktown, Missouri, June 2018
Surface Geophysical data collected along Blacktail Creek in June 2017 near Williston, North Dakota, USA
Near-surface geophysical data collected along streams near Silverton, Colorado, USA (ver. 2.0, May 2022)
Hydrologic, biogeochemical, and radon data collected within and adjacent to the Little Wind River near Riverton, Wyoming
Raw Data from Continuous Resistivity Profiles and Electromagnetic Surveys Collected in and adjacent to the Dolores River in the Paradox Valley, Colorado (2017)
Geophysical data from the unnamed lake at the National Crude Oil Spill Fate and Natural Attenuation Research Site, Bemidji, MN (ver. 3.0, May 2022)
2016-2017 Geophysical data from the Kuparuk aufeis, North Slope, AK
Geophysical data collected within and adjacent to the Little Wind River near Riverton, Wyoming
Example data from MoisturEC: a new R program for moisture content estimation from electrical conductivity data
Geophysical assessment of a proposed landfill site in Fredericktown, Missouri
Wetland-scale mapping of preferential fresh groundwater discharge to the Colorado River
MoisturEC: a new R program for moisture content estimation from electrical conductivity data
Scenario Evaluator for Electrical Resistivity survey pre-modeling tool
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.