Jared Peacock
Jared Peacock is a research geophysicist at the Geology, Minerals, Energy, and Geophysics Science Center in Menlo Park, CA. He received his Ph.D. from the University of Adelaide and B.S. and M.S. from the Colorado School of Mines, all in geophysics. Since joining the USGS In 2013, his expertise is in magnetotellurics, focusing on characterizing volcanic, geothermal, and mineral systems in 3D.
Professional Experience
2016 - Present, Research Geophysicist, U.S. Geological Survey, Menlo Park, CA
2013 - 2016, Mendenhall Post Doc, U.S. Geological Survey, Menlo Park, CA
Education and Certifications
Ph.D., Geophysics, University of Adelaide, 2012
M.S., Geophysics, Colorado School of Mines, 2007
B.S., Geophysics, Colorado School of Mines, 2005
Science and Products
Filter Total Items: 15
Magnetotelluric and gravity data from the Northwest Geysers, California Magnetotelluric and gravity data from the Northwest Geysers, California
This dataset consists of 42 magnetotelluric (MT) stations collected in 2017 in the Northwest Geysers, CA and 534 gravity stations collected in 2017 and 2019. The U.S. Geological Survey acquired these data as part of a project to image the heat source in the Northwest Geysers. Support was from the U.S. Geological Survey's Volcano Hazards Program.
Magnetotelluric Data from Gabbs Valley, Nevada, 2017 Magnetotelluric Data from Gabbs Valley, Nevada, 2017
This dataset consists of 24 magnetotelluric (MT) stations collected in 2017 in Gabbs Valley, Nevada. The U.S. Geological Survey acquired these data as part of Phase 2 of the Nevada Play Fairway Analysis Project led by the University of Nevada at Reno and funded by the Department of Energy (grant number DE-EE0006731) with support from the U.S. Geological Survey's Energy Program.
Magnetotelluric data from Mountain Pass, California, 2015 Magnetotelluric data from Mountain Pass, California, 2015
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.
Filter Total Items: 35
Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging
The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. Yet, there is much ambiguity regarding its deeper structural properties around Coachella Valley, in large part due to the relative paucity of everyday seismicity. Here, we image a multistranded section of the SSAF using a non-seismic method, namely magnetotelluric (MT) soundings, to help inform...
Authors
Pieter-Ewald Share-MacParland, Jared R. Peacock, Steve C. Constable, Frank L. Vernon, Shunguo Wang
MTH5: An archive and exchangeable data format for magnetotelluric time series data MTH5: An archive and exchangeable data format for magnetotelluric time series data
Magnetotellurics (MT) is a passive electromagnetic geophysical method that measures variations in subsurface electrical resistivity. MT data are collected in the time domain and processed in the frequency domain to produce estimates of a transfer function representing the Earth’s electrical structure. Unfortunately, the MT community lacks metadata and data standards for time series data...
Authors
Jared R. Peacock, Karl Kappler, Lindsey Heagy, Timothy Ronan, Anna Kelbert, Andrew Frassetto
Repeat magnetotelluric measurements to monitor The Geysers steam field in northern California Repeat magnetotelluric measurements to monitor The Geysers steam field in northern California
The Geysers in northern California is the world’s largest electricity generating steam field. To help understand changes in the steam reservoir, repeat magnetotelluric (MT) measurements are being collected once a year from 2021-2023. These data will be compared and modeled to provide 4-D images of changes within the reservoir. Joint inversion with passive seismic data will be done to...
Authors
Jared R. Peacock, David Alumbaugh, Michael Albert Mitchell, Craig Hartline
Bottom-up and top-down control on hydrothermal resources in the Great Basin: An example from Gabbs Valley, Nevada Bottom-up and top-down control on hydrothermal resources in the Great Basin: An example from Gabbs Valley, Nevada
The Great Basin in the western United States hosts various hydrothermal systems, including both active geothermal systems and ancient systems preserved as mineral deposits. New magnetotelluric and structural geologic data were collected in the Gabbs Valley area of western Nevada to demonstrate the advantage of imaging the full crustal column below known hydrothermal systems. Three...
Authors
Jared R. Peacock, Drew L. Siler
Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region
The Sulphide Queen carbonatite deposit at Mountain Pass in southeast California is a world class rare earth element (REE) resource. This study images electrical resistivity structure of the REE deposit and surrounding area to characterize resources under cover. An east-west elongated grid (35 × 15 km) of 65 wideband magnetotelluric stations spanning from eastern Shadow Valley to eastern...
Authors
Jared R. Peacock, Kevin Denton, David A. Ponce
Multi-geophysical parameter classification of the Montserrat geothermal system Multi-geophysical parameter classification of the Montserrat geothermal system
Multi-geophysical parameter classification can help to reduce the uncertainties of interpretations that often rely on one geophysical technique. Integrating these varying datasets requires a more robust classification approach rather than traditional qualitative methods. In this study, we applied the Fuzzy c-means (FCM) method to quantitatively classify similarities in a high resolution...
Authors
Racine A. Basant, Graham A. Ryan, Jared R. Peacock, Antonio G. Camacho, Oshaine O. Blake, Stefanie Hautmann, Bridget Y. Lynne
Science and Products
Filter Total Items: 15
Magnetotelluric and gravity data from the Northwest Geysers, California Magnetotelluric and gravity data from the Northwest Geysers, California
This dataset consists of 42 magnetotelluric (MT) stations collected in 2017 in the Northwest Geysers, CA and 534 gravity stations collected in 2017 and 2019. The U.S. Geological Survey acquired these data as part of a project to image the heat source in the Northwest Geysers. Support was from the U.S. Geological Survey's Volcano Hazards Program.
Magnetotelluric Data from Gabbs Valley, Nevada, 2017 Magnetotelluric Data from Gabbs Valley, Nevada, 2017
This dataset consists of 24 magnetotelluric (MT) stations collected in 2017 in Gabbs Valley, Nevada. The U.S. Geological Survey acquired these data as part of Phase 2 of the Nevada Play Fairway Analysis Project led by the University of Nevada at Reno and funded by the Department of Energy (grant number DE-EE0006731) with support from the U.S. Geological Survey's Energy Program.
Magnetotelluric data from Mountain Pass, California, 2015 Magnetotelluric data from Mountain Pass, California, 2015
This dataset consists of 65 magnetotelluric (MT) stations collected in 2015 near Mountain Pass, California. The U.S. Geological Survey acquired these data to create a regional conductivity model near the Mountain Pass mine. This work is in support of characterizing mineral deposits.
Filter Total Items: 35
Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging Structural properties of the Southern San Andreas fault zone in northern Coachella Valley from magnetotelluric imaging
The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. Yet, there is much ambiguity regarding its deeper structural properties around Coachella Valley, in large part due to the relative paucity of everyday seismicity. Here, we image a multistranded section of the SSAF using a non-seismic method, namely magnetotelluric (MT) soundings, to help inform...
Authors
Pieter-Ewald Share-MacParland, Jared R. Peacock, Steve C. Constable, Frank L. Vernon, Shunguo Wang
MTH5: An archive and exchangeable data format for magnetotelluric time series data MTH5: An archive and exchangeable data format for magnetotelluric time series data
Magnetotellurics (MT) is a passive electromagnetic geophysical method that measures variations in subsurface electrical resistivity. MT data are collected in the time domain and processed in the frequency domain to produce estimates of a transfer function representing the Earth’s electrical structure. Unfortunately, the MT community lacks metadata and data standards for time series data...
Authors
Jared R. Peacock, Karl Kappler, Lindsey Heagy, Timothy Ronan, Anna Kelbert, Andrew Frassetto
Repeat magnetotelluric measurements to monitor The Geysers steam field in northern California Repeat magnetotelluric measurements to monitor The Geysers steam field in northern California
The Geysers in northern California is the world’s largest electricity generating steam field. To help understand changes in the steam reservoir, repeat magnetotelluric (MT) measurements are being collected once a year from 2021-2023. These data will be compared and modeled to provide 4-D images of changes within the reservoir. Joint inversion with passive seismic data will be done to...
Authors
Jared R. Peacock, David Alumbaugh, Michael Albert Mitchell, Craig Hartline
Bottom-up and top-down control on hydrothermal resources in the Great Basin: An example from Gabbs Valley, Nevada Bottom-up and top-down control on hydrothermal resources in the Great Basin: An example from Gabbs Valley, Nevada
The Great Basin in the western United States hosts various hydrothermal systems, including both active geothermal systems and ancient systems preserved as mineral deposits. New magnetotelluric and structural geologic data were collected in the Gabbs Valley area of western Nevada to demonstrate the advantage of imaging the full crustal column below known hydrothermal systems. Three...
Authors
Jared R. Peacock, Drew L. Siler
Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region Three-dimensional electrical resistivity characterization of Mountain Pass, California and surrounding region
The Sulphide Queen carbonatite deposit at Mountain Pass in southeast California is a world class rare earth element (REE) resource. This study images electrical resistivity structure of the REE deposit and surrounding area to characterize resources under cover. An east-west elongated grid (35 × 15 km) of 65 wideband magnetotelluric stations spanning from eastern Shadow Valley to eastern...
Authors
Jared R. Peacock, Kevin Denton, David A. Ponce
Multi-geophysical parameter classification of the Montserrat geothermal system Multi-geophysical parameter classification of the Montserrat geothermal system
Multi-geophysical parameter classification can help to reduce the uncertainties of interpretations that often rely on one geophysical technique. Integrating these varying datasets requires a more robust classification approach rather than traditional qualitative methods. In this study, we applied the Fuzzy c-means (FCM) method to quantitatively classify similarities in a high resolution...
Authors
Racine A. Basant, Graham A. Ryan, Jared R. Peacock, Antonio G. Camacho, Oshaine O. Blake, Stefanie Hautmann, Bridget Y. Lynne