Samuel Roy
(he/him)Samuel Roy is a Supervisory Physical Scientist in the New England Water Science Center.
I am the Supervisory Physical Scientist for the Data Analytics and Visualization section in the USGS New England Water Science Center. In 2015 I received my Ph.D. from the University of Maine for my dissertation "Topographic Signatures of Geodynamics." My section provides support including but not limited to GIS, programming, H&H modeling, technical writing, experimental design, web app development, SharePoint/Drupal, database development/management, geomatics and geostatistics, graphic design, and surveying.
Professional Experience
Supervisory Physical Scientist, U.S. Geological Survey, New England Water Science Center, 2024 to Present
Education and Certifications
Ph.D. Earth and Climate Sciences, University of Maine, 2015
M.S. Earth and Climate Sciences, University of Maine and Southern Illinois University at Carbondale, 2011
B.S. Geology, University of Maine, 2008
Science and Products
Non-USGS Publications**
Coordinated river infrastructure decisions improve net social-ecological benefits, https://doi.org/10.1088/1748-9326/abad58
Influence of climate zone shifts on forest ecosystems in northeastern United States and maritime Canada, https://www.sciencedirect.com/science/article/pii/S1470160X24003789
A multiscale approach to balance trade-offs among dam infrastructure, river restoration, and cost, https://doi.org/10.1073/pnas.1807437115
Managing dams for energy and fish tradeoffs: what does a win-win solution take?, https://doi.org/10.1016/j.scitotenv.2019.03.042
A fault runs through it: Modeling the influence of rock strength and grain-size distribution in a fault-damaged landscape, https://doi.org/10.1002/2015JF003662
The influence of crustal strength fields on the patterns and rates of fluvial incision, https://doi.org/10.1002/2014JF003281
Industrial-age doubling of snow accumulation in the Alaska Range linked to tropical ocean warming, https://www.nature.com/articles/s41598-017-18022-5
Evaluating core competencies and learning outcomes for training the next generation of sustainability researchers, https://link.springer.com/article/10.1007/s11625-019-00707-7
Dynamic links among rock damage, erosion, and strain during orogenesis, https://doi.org/10.1130/G37753.1
Multi-scale characterization of topographic anisotropy, https://doi.org/10.1016/j.cageo.2015.09.023
Fractal analysis and thermal‐elastic modeling of a subvolcanic magmatic breccia: The role of post‐fragmentation partial melting and thermal fracture in clast size distributions, https://doi.org/10.1029/2011GC004018
What have we lost? Modeling dam impacts on American Shad populations through their native range, https://doi.org/10.3389/fmars.2021.734213
Gold in the hills: Patterns of placer gold accumulation under dynamic tectonic and climatic conditions, https://link.springer.com/article/10.1007/s00126-017-0789-6
Strain-rate estimates for crevasse formation at an alpine ice divide: Mount Hunter, Alaska, https://doi.org/10.3189/2013AoG63A266
Ground‐penetrating radar, electromagnetic induction, terrain, and vegetation observations coupled with machine learning to map permafrost distribution at Twelvemile Lake, Alaska, https://doi.org/10.1002/ppp.2100
Rock failure and erosion of a fault damage zone as a function of rock properties: Alpine Fault at Waikukupa River, https://doi.org/10.1080/00288306.2018.1430592
Topographic controlled forcing of salt flow: Three‐dimensional models of an active salt system, Canyonlands, Utah, https://doi.org/10.1002/2016JB013113
Integrating public preferences with biophysical production possibilities: an application to ecosystem services from dam removal, https://doi.org/10.5751/ES-13739-280151
Damming news: Geospatial media discourse analysis of dams, https://link.springer.com/article/10.1007/s00267-022-01715-7
Advancing geomechanical analyses with deep learning to predict landslide susceptibility from spatially explicit strength and stress states, https://ui.adsabs.harvard.edu/abs/2019AGUFMEP43C..06R/abstract
A runoff-based vulnerability analysis to examine and communicate the dynamics of bacteria pollution events in the Gulf of Maine, https://umaine.edu/mitchellcenter/wp-content/uploads/sites/293/2017/04/Roy_MESWC2017.pdf
Influence of climate zone shifts on forest ecosystems in northeastern United States and maritime Canada, https://www.sciencedirect.com/science/article/pii/S1470160X24003789
A multiscale approach to balance trade-offs among dam infrastructure, river restoration, and cost, https://doi.org/10.1073/pnas.1807437115
Managing dams for energy and fish tradeoffs: what does a win-win solution take?, https://doi.org/10.1016/j.scitotenv.2019.03.042
A fault runs through it: Modeling the influence of rock strength and grain-size distribution in a fault-damaged landscape, https://doi.org/10.1002/2015JF003662
The influence of crustal strength fields on the patterns and rates of fluvial incision, https://doi.org/10.1002/2014JF003281
Industrial-age doubling of snow accumulation in the Alaska Range linked to tropical ocean warming, https://www.nature.com/articles/s41598-017-18022-5
Evaluating core competencies and learning outcomes for training the next generation of sustainability researchers, https://link.springer.com/article/10.1007/s11625-019-00707-7
Dynamic links among rock damage, erosion, and strain during orogenesis, https://doi.org/10.1130/G37753.1
Multi-scale characterization of topographic anisotropy, https://doi.org/10.1016/j.cageo.2015.09.023
Fractal analysis and thermal‐elastic modeling of a subvolcanic magmatic breccia: The role of post‐fragmentation partial melting and thermal fracture in clast size distributions, https://doi.org/10.1029/2011GC004018
What have we lost? Modeling dam impacts on American Shad populations through their native range, https://doi.org/10.3389/fmars.2021.734213
Gold in the hills: Patterns of placer gold accumulation under dynamic tectonic and climatic conditions, https://link.springer.com/article/10.1007/s00126-017-0789-6
Strain-rate estimates for crevasse formation at an alpine ice divide: Mount Hunter, Alaska, https://doi.org/10.3189/2013AoG63A266
Ground‐penetrating radar, electromagnetic induction, terrain, and vegetation observations coupled with machine learning to map permafrost distribution at Twelvemile Lake, Alaska, https://doi.org/10.1002/ppp.2100
Rock failure and erosion of a fault damage zone as a function of rock properties: Alpine Fault at Waikukupa River, https://doi.org/10.1080/00288306.2018.1430592
Topographic controlled forcing of salt flow: Three‐dimensional models of an active salt system, Canyonlands, Utah, https://doi.org/10.1002/2016JB013113
Integrating public preferences with biophysical production possibilities: an application to ecosystem services from dam removal, https://doi.org/10.5751/ES-13739-280151
Damming news: Geospatial media discourse analysis of dams, https://link.springer.com/article/10.1007/s00267-022-01715-7
Advancing geomechanical analyses with deep learning to predict landslide susceptibility from spatially explicit strength and stress states, https://ui.adsabs.harvard.edu/abs/2019AGUFMEP43C..06R/abstract
A runoff-based vulnerability analysis to examine and communicate the dynamics of bacteria pollution events in the Gulf of Maine, https://umaine.edu/mitchellcenter/wp-content/uploads/sites/293/2017/04/Roy_MESWC2017.pdf
**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
Non-USGS Publications**
Coordinated river infrastructure decisions improve net social-ecological benefits, https://doi.org/10.1088/1748-9326/abad58
Influence of climate zone shifts on forest ecosystems in northeastern United States and maritime Canada, https://www.sciencedirect.com/science/article/pii/S1470160X24003789
A multiscale approach to balance trade-offs among dam infrastructure, river restoration, and cost, https://doi.org/10.1073/pnas.1807437115
Managing dams for energy and fish tradeoffs: what does a win-win solution take?, https://doi.org/10.1016/j.scitotenv.2019.03.042
A fault runs through it: Modeling the influence of rock strength and grain-size distribution in a fault-damaged landscape, https://doi.org/10.1002/2015JF003662
The influence of crustal strength fields on the patterns and rates of fluvial incision, https://doi.org/10.1002/2014JF003281
Industrial-age doubling of snow accumulation in the Alaska Range linked to tropical ocean warming, https://www.nature.com/articles/s41598-017-18022-5
Evaluating core competencies and learning outcomes for training the next generation of sustainability researchers, https://link.springer.com/article/10.1007/s11625-019-00707-7
Dynamic links among rock damage, erosion, and strain during orogenesis, https://doi.org/10.1130/G37753.1
Multi-scale characterization of topographic anisotropy, https://doi.org/10.1016/j.cageo.2015.09.023
Fractal analysis and thermal‐elastic modeling of a subvolcanic magmatic breccia: The role of post‐fragmentation partial melting and thermal fracture in clast size distributions, https://doi.org/10.1029/2011GC004018
What have we lost? Modeling dam impacts on American Shad populations through their native range, https://doi.org/10.3389/fmars.2021.734213
Gold in the hills: Patterns of placer gold accumulation under dynamic tectonic and climatic conditions, https://link.springer.com/article/10.1007/s00126-017-0789-6
Strain-rate estimates for crevasse formation at an alpine ice divide: Mount Hunter, Alaska, https://doi.org/10.3189/2013AoG63A266
Ground‐penetrating radar, electromagnetic induction, terrain, and vegetation observations coupled with machine learning to map permafrost distribution at Twelvemile Lake, Alaska, https://doi.org/10.1002/ppp.2100
Rock failure and erosion of a fault damage zone as a function of rock properties: Alpine Fault at Waikukupa River, https://doi.org/10.1080/00288306.2018.1430592
Topographic controlled forcing of salt flow: Three‐dimensional models of an active salt system, Canyonlands, Utah, https://doi.org/10.1002/2016JB013113
Integrating public preferences with biophysical production possibilities: an application to ecosystem services from dam removal, https://doi.org/10.5751/ES-13739-280151
Damming news: Geospatial media discourse analysis of dams, https://link.springer.com/article/10.1007/s00267-022-01715-7
Advancing geomechanical analyses with deep learning to predict landslide susceptibility from spatially explicit strength and stress states, https://ui.adsabs.harvard.edu/abs/2019AGUFMEP43C..06R/abstract
A runoff-based vulnerability analysis to examine and communicate the dynamics of bacteria pollution events in the Gulf of Maine, https://umaine.edu/mitchellcenter/wp-content/uploads/sites/293/2017/04/Roy_MESWC2017.pdf
Influence of climate zone shifts on forest ecosystems in northeastern United States and maritime Canada, https://www.sciencedirect.com/science/article/pii/S1470160X24003789
A multiscale approach to balance trade-offs among dam infrastructure, river restoration, and cost, https://doi.org/10.1073/pnas.1807437115
Managing dams for energy and fish tradeoffs: what does a win-win solution take?, https://doi.org/10.1016/j.scitotenv.2019.03.042
A fault runs through it: Modeling the influence of rock strength and grain-size distribution in a fault-damaged landscape, https://doi.org/10.1002/2015JF003662
The influence of crustal strength fields on the patterns and rates of fluvial incision, https://doi.org/10.1002/2014JF003281
Industrial-age doubling of snow accumulation in the Alaska Range linked to tropical ocean warming, https://www.nature.com/articles/s41598-017-18022-5
Evaluating core competencies and learning outcomes for training the next generation of sustainability researchers, https://link.springer.com/article/10.1007/s11625-019-00707-7
Dynamic links among rock damage, erosion, and strain during orogenesis, https://doi.org/10.1130/G37753.1
Multi-scale characterization of topographic anisotropy, https://doi.org/10.1016/j.cageo.2015.09.023
Fractal analysis and thermal‐elastic modeling of a subvolcanic magmatic breccia: The role of post‐fragmentation partial melting and thermal fracture in clast size distributions, https://doi.org/10.1029/2011GC004018
What have we lost? Modeling dam impacts on American Shad populations through their native range, https://doi.org/10.3389/fmars.2021.734213
Gold in the hills: Patterns of placer gold accumulation under dynamic tectonic and climatic conditions, https://link.springer.com/article/10.1007/s00126-017-0789-6
Strain-rate estimates for crevasse formation at an alpine ice divide: Mount Hunter, Alaska, https://doi.org/10.3189/2013AoG63A266
Ground‐penetrating radar, electromagnetic induction, terrain, and vegetation observations coupled with machine learning to map permafrost distribution at Twelvemile Lake, Alaska, https://doi.org/10.1002/ppp.2100
Rock failure and erosion of a fault damage zone as a function of rock properties: Alpine Fault at Waikukupa River, https://doi.org/10.1080/00288306.2018.1430592
Topographic controlled forcing of salt flow: Three‐dimensional models of an active salt system, Canyonlands, Utah, https://doi.org/10.1002/2016JB013113
Integrating public preferences with biophysical production possibilities: an application to ecosystem services from dam removal, https://doi.org/10.5751/ES-13739-280151
Damming news: Geospatial media discourse analysis of dams, https://link.springer.com/article/10.1007/s00267-022-01715-7
Advancing geomechanical analyses with deep learning to predict landslide susceptibility from spatially explicit strength and stress states, https://ui.adsabs.harvard.edu/abs/2019AGUFMEP43C..06R/abstract
A runoff-based vulnerability analysis to examine and communicate the dynamics of bacteria pollution events in the Gulf of Maine, https://umaine.edu/mitchellcenter/wp-content/uploads/sites/293/2017/04/Roy_MESWC2017.pdf
**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.