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
Electromagnetic Induction and Ground-Penetrating Radar Surveys at Transportation Infrastructure Sites in New Hampshire, 2022 Electromagnetic Induction and Ground-Penetrating Radar Surveys at Transportation Infrastructure Sites in New Hampshire, 2022
Geophysical Data for Assessment of Karst Drainage Features in Genesee County, New York Geophysical Data for Assessment of Karst Drainage Features in Genesee County, New York
Ground-based frequency domain electromagnetic (FDEM) data from the Illinois River Basin in support of the USGS Next Generation Water Observing System Ground-based frequency domain electromagnetic (FDEM) data from the Illinois River Basin in support of the USGS Next Generation Water Observing System
Floating Transient Electromagnetic Survey Data from the Columbia River near Hanford, WA Floating Transient Electromagnetic Survey Data from the Columbia River near Hanford, WA
Floating Electromagnetic Surveys from the Lower Delaware River Basin Floating Electromagnetic Surveys from the Lower Delaware River Basin
RDAVT RDAVT
Advancing subsurface investigations beyond the borehole with passive seismic horizontal-to-vertical spectral ratio and electromagnetic geophysical methods at transportation infrastructure sites in New Hampshire Advancing subsurface investigations beyond the borehole with passive seismic horizontal-to-vertical spectral ratio and electromagnetic geophysical methods at transportation infrastructure sites in New Hampshire
Paired Air and Stream Temperature Analysis (PASTA) to evaluate groundwater influence on streams Paired Air and Stream Temperature Analysis (PASTA) to evaluate groundwater influence on streams
Field evaluation of semi-automated moisture estimation from geophysics using machine learning Field evaluation of semi-automated moisture estimation from geophysics using machine learning
Interaction of a legacy groundwater contaminant plume with the Little Wind River from 2015 through 2017, Riverton Processing site, Wyoming Interaction of a legacy groundwater contaminant plume with the Little Wind River from 2015 through 2017, Riverton Processing site, Wyoming
Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California
Beware of spatial autocorrelation when applying machine learning algorithms to borehole geophysical logs Beware of spatial autocorrelation when applying machine learning algorithms to borehole geophysical logs
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
Electromagnetic Induction and Ground-Penetrating Radar Surveys at Transportation Infrastructure Sites in New Hampshire, 2022 Electromagnetic Induction and Ground-Penetrating Radar Surveys at Transportation Infrastructure Sites in New Hampshire, 2022
Geophysical Data for Assessment of Karst Drainage Features in Genesee County, New York Geophysical Data for Assessment of Karst Drainage Features in Genesee County, New York
Ground-based frequency domain electromagnetic (FDEM) data from the Illinois River Basin in support of the USGS Next Generation Water Observing System Ground-based frequency domain electromagnetic (FDEM) data from the Illinois River Basin in support of the USGS Next Generation Water Observing System
Floating Transient Electromagnetic Survey Data from the Columbia River near Hanford, WA Floating Transient Electromagnetic Survey Data from the Columbia River near Hanford, WA
Floating Electromagnetic Surveys from the Lower Delaware River Basin Floating Electromagnetic Surveys from the Lower Delaware River Basin
RDAVT RDAVT
Advancing subsurface investigations beyond the borehole with passive seismic horizontal-to-vertical spectral ratio and electromagnetic geophysical methods at transportation infrastructure sites in New Hampshire Advancing subsurface investigations beyond the borehole with passive seismic horizontal-to-vertical spectral ratio and electromagnetic geophysical methods at transportation infrastructure sites in New Hampshire
Paired Air and Stream Temperature Analysis (PASTA) to evaluate groundwater influence on streams Paired Air and Stream Temperature Analysis (PASTA) to evaluate groundwater influence on streams
Field evaluation of semi-automated moisture estimation from geophysics using machine learning Field evaluation of semi-automated moisture estimation from geophysics using machine learning
Interaction of a legacy groundwater contaminant plume with the Little Wind River from 2015 through 2017, Riverton Processing site, Wyoming Interaction of a legacy groundwater contaminant plume with the Little Wind River from 2015 through 2017, Riverton Processing site, Wyoming
Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California
Beware of spatial autocorrelation when applying machine learning algorithms to borehole geophysical logs Beware of spatial autocorrelation when applying machine learning algorithms to borehole geophysical logs
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.