Skip to main content
U.S. flag

An official website of the United States government

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

link
GMEG Exhibit poster

Geothermal Resource Investigations Project

Geothermal energy is a significant source of renewable electric power in the western United States and, with advances in exploration and development technologies, a potential source of a large fraction of baseload electric power for the entire country. This project focuses on advancing geothermal research through a better understanding of geothermal resources and the impacts of geothermal...
By
Energy Resources Program, Geology, Minerals, Energy, and Geophysics Science Center
link

Geothermal Resource Investigations Project

Geothermal energy is a significant source of renewable electric power in the western United States and, with advances in exploration and development technologies, a potential source of a large fraction of baseload electric power for the entire country. This project focuses on advancing geothermal research through a better understanding of geothermal resources and the impacts of geothermal...
Learn More
link
USGS science for a changing world logo

Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

A unique opportunity for USGS to collaborate with IRIS-PASSCAL (the national seismic instrument facility) has presented itself to develop a geophysical data archive format that follows FAIR principles. IRIS-PASSCAL is extending facility to include magnetotelluric (MT) instruments prescribing the need for them to archive collected MT data by extending their existing protocol. Concurrently...
By
Community for Data Integration (CDI)
link

Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

A unique opportunity for USGS to collaborate with IRIS-PASSCAL (the national seismic instrument facility) has presented itself to develop a geophysical data archive format that follows FAIR principles. IRIS-PASSCAL is extending facility to include magnetotelluric (MT) instruments prescribing the need for them to archive collected MT data by extending their existing protocol. Concurrently, Congre
Learn More
Filter Total Items: 13

Magnetotelluric and TEM Data from the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2, 2020

This data set consists of 19 wideband magnetotelluric (MT) and 23 transient electromagnetic (TEM) soundings collected by the U.S. Geological Survey in June 2020 as part of the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2 project. Each MT station had 4 components, 2 orthogonal magnetic induction coils and 2 horizontal orthogonal electric dipoles. Data were...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric data across the Southern San Andreas Fault Zone, California

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University...
By
Geology, Minerals, Energy, and Geophysics Science Center

Electrical Conductance Maps of the Great Basin, USA

Images of subsurface electrical conductivity are useful for locating fluids and other electrically conductive phases at depth in the Earth. This data release presents electrical conductance maps estimated from a 3D model of the Great Basin, USA, at five different depth ranges, spanning 2 to 200 km depth. Electrical conductance is the integration of electrical conductivity in a depth...
By
Geology, Minerals, Energy, and Geophysics Science Center

Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon

During the summers of 2017 and 2020, our team collected gravity, ground magnetic (ATV and hiked traverses), paleomagnetic and rock property (density and susceptibility) data on the Umatilla Indian Reservation (UIR) in northeast Oregon to aid in characterizing subsurface stratigraphy using 2D and 3D modeling methods. This data was integrated with conductance surfaces from a 3D...
By
Energy Resources Program, Geology, Minerals, Energy, and Geophysics Science Center

Repeat Magnetotelluric Transfer Functions from the 2012 Eruption of Tongariro, New Zealand

This dataset consists of 16 repeated magnetotelluric (MT) stations collected on Mount Tongariro, New Zealand, before (2009) and after (2013) the 2012 eruption. The data were collected in same locations with similiar instruments. Preeruption and posteruption electromagnetic magnetotelluric measurements determine variation in subsurface electrical properties resulting from changes in...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric Data from the Gabbs Valley Region, Nevada, 2020

This data set consists of 59 wideband magnetotelluric (MT) stations collected by the U.S. Geological Survey in July and August of 2020 as part of a 1-year project funded by the Energy Resources Program of the U.S. Geological Survey to demonstrate full crustal control on geothermal systems in the Great Basin. Each station had 5 components, 3 orthogonal magnetic induction coils and 2...
By
Geology, Minerals, Energy, and Geophysics Science Center

Metadata standards for Magnetotelluric Time Series Data

Magnetotellurics (MT) is an electromagnetic geophysical method that is sensitive to variations in subsurface electrical resistivity. Measurements of natural electric and magnetic fields are done in the time domain, where instruments can record for a couple of hours up to mulitple months resulting in data sets on the order of gigabytes. The principles of findability, accessibility...
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center

Snake River Plain Play Fairway Analysis Phase 2 Favorability Model (DE EE0006733)

This data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis (DE EE0006733) for Phase 2 (ArcGIS shapefiles and raster files) as well as the model processing script, tables, and documentation used to generate data outputs. Phase 2 examines two subset areas of the Phase 1 study area, Mountain Home and Camas Prairie. Brief...
By
Geology, Minerals, Energy, and Geophysics Science Center

Snake River Plain Play Fairway Analysis Phase 1 Favorability Model (DE EE0006733)

This data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis (DE EE0006733) for Phase 1 (ArcGIS shapefiles and raster files) as well as the model processing script, tables, and documentation used to generate data outputs. Brief descriptions of data layers are in the metadata of GIS files, greater detail is available in the Larger...
By
Energy Resources Program

Magnetotelluric data from San Pablo Bay, California

This dataset consists of 14 magnetotelluric (MT) stations collected in 2015 near San Pablo Bay, California along a east-northeast profile. The U.S. Geological Survey acquired these data to understand the fault geometry of the Hayward Fault and the Rodgers Creek Fault.
By
Geology, Minerals, Energy, and Geophysics Science Center

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.
By
Geology, Minerals, Energy, and Geophysics Science Center

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.
By
Geology, Minerals, Energy, and Geophysics Science Center

Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada

This three-dimensional (3D) geologic map displays the subsurface geology in the upper ~4 kilometers of the Earth’s crust in the southeastern Gabbs Valley geothermal area of west-central Nevada. The 3D map was constructed by integrating the results from detailed geologic mapping, 3D gravity inversion modeling, and potential-field-geophysical studies. This effort was undertaken as part of...
By
Geology, Minerals, Energy, and Geophysics Science Center
Image: Mono Lake and Mono Craters Landscape Overview
Mono Lake and Mono Craters Landscape Overview
Mono Lake and Mono Craters Landscape Overview
Image: Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Looking north towards Mono Lake and Mono Craters from the summit of Reverse Peak.

By
Natural Hazards Mission Area, Communications and Publishing
Image: Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Looking north towards Mono Lake and Mono Craters from the summit of Reverse Peak.

By
Natural Hazards Mission Area, Communications and Publishing
Filter Total Items: 32

Summary of results from monitoring the Geysers with continuous passive seismic and repeat magnetotelluric measurements (2021-2023)

Understanding temporal variations in a geothermal field can support operators in decision making that pertains to optimizing production and mitigating hazards. Between 2021 and 2023, The Geysers geothermal field in northern California was monitored with an array of continuous passive seismic sensors and annual repeat magnetotelluric (MT) measurements. Each of these data sets were...
Authors
Jared R. Peacock, David Alumbaugh, Roland Gritto, Evan Um, Craig Ulrich, Michael A. Mitchell, Craig Hartline
By
Geology, Minerals, Energy, and Geophysics Science Center

Community for Data Integration 2020 project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 12 projects funded in fiscal year 2020, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Emily G. Chapin, Theodore B. Barnhart, Amanda E. Cravens, Richard A. Erickson, Jason A. Ferrante, Aaron Fox, Nathaniel P. Hitt, Margaret E. Hunter, Katharine R. Kolb, Jared R. Peacock, Matthew D. Petkewich, Sasha Reed, Terry L. Sohl, Tanja N. Williamson
By
Ecosystems Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis and Research Program, Community for Data Integration (CDI), Fort Collins Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center

Aurora: An open-source Python implementation of the EMTF package for magnetotelluric data processing using MTH5 and mt-metadata

The Aurora software package robustly estimates single station and remote reference electromagnetic transfer functions (TFs) from magnetotelluric (MT) time series. Aurora is part of an open-source processing workflow that leverages the self-describing data container MTH5, which in turn leverages the general mt-metadata framework to manage metadata. These pre-existing packages simplify the...
Authors
Karl Kappler, Jared R. Peacock, Gary D. Egbert, Andrew Frassetto, Lindsey Heagy, Anna Kelbert, Laura Keyson, Douglas W. Oldenburg, Timothy Ronan, Justin Sweet
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric investigation of northern Harrat Rahat, Kingdom of Saudi Arabia

Volcanism within the harrats (Arabic for “volcanic field”) of the Kingdom of Saudi Arabia includes at least one historical eruption occurring close to the holy city of Al Madīnah in 1256 C.E. As part of a volcanic- and seismic-hazard assessment of northern Harrat Rahat, magnetotelluric (MT) data were collected to investigate the structural setting of the area, the presence or absence of...
Authors
Jared R. Peacock, Paul A. Bedrosian, Maher K. Al-Dhahry, Adel Shareef, Daniel W. Feucht, Cliff D. Taylor, Benjamin R. Bloss, Hani M. Zahran
By
Natural Hazards Mission Area, Volcano Hazards Program, Geology, Geophysics, and Geochemistry Science Center, Geology, Minerals, Energy, and Geophysics Science Center, Volcano Science Center

Importance of understanding bottom-up control when characterizing geothermal systems

Methods designed to identify favorable areas for geothermal resources have traditionally been focused on near-surface information, namely data that can be compiled into a 2D map. However, these methods fail to account for the third dimension: depth. As a result, they do not incorporate deep crustal and mantle features like heat sources. Geophysical methods with multi-scale capabilities...
Authors
Jared R. Peacock, Paul A. Bedrosian
By
Geology, Minerals, Energy, and Geophysics Science Center

Cooperative joint inversion of magnetotelluric and microseismic data for imaging the Geysers geothermal field, California, USA

The Geysers geothermal field located in northern California, USA, is the world’s largest electricity-generating geothermal facility. To delineate the spatio-temporal distribution of reservoir steam and recharge water, we have collected microseismic and magnetotelluric (MT) data using a dense array of stations in 2021. The microseismic and MT data have been inverted together using a 3D...
Authors
Evan Um, Michael Commer, Roland Gritto, Jared R. Peacock, David Alumbaugh, Steve P. Jarpe, Craig Hartline
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric monitoring of the Geysers Steam Field, northern California: Phase 2

An original magnetotelluric (MT) survey collected in 2017 included 42 MT stations mainly in the northwestern part of The Geysers geothermal field in northern California. These data were modeled in 3D and imaged the electrically conductive cover, the electrically resistive steam field, and the electrically resistive Geysers plutonic complex (Peacock et al., 2020; Peacock et al. 2020a)...
Authors
Jared R. Peacock, David Alumbaugh, Michael Albert Mitchell, Craig Hartline
By
Geology, Minerals, Energy, and Geophysics Science Center

Imaging the magmatic plumbing of the Clear Lake Volcanic Field using 3-D gravity inversions

The Quaternary Clear Lake Volcanic Field (CLVF) in the Northern California Coast Range is the youngest of a string of northward-younging volcanic centers in the state. The CLVF is located within the broad San Andreas Transform Fault System and has been active intermittently for ∼2 million years. Heat beneath the CLVF supports The Geysers, one of the largest producing geothermal fields in...
Authors
Michael Albert Mitchell, Jared R. Peacock, Seth D. Burgess
By
Volcano Hazards Program, Geology, Minerals, Energy, and Geophysics Science Center, Volcano Science Center

A geophysical characterization of structure and geology of the Northern Granite Springs Valley Geothermal System, Northwestern Nevada

The northern Granite Springs Valley in northwestern Nevada is the focus of recent studies for its potential for hosting undiscovered geothermal resources. Although the area lacks definitive surface manifestations of an active hydrothermal system, previous studies identify this region as having potential for hosting a blind geothermal resource, based on elevated subsurface temperatures...
Authors
Jonathan M.G. Glen, Jared R. Peacock, Tait E. Earney, William D. Schermerhorn, Drew L. Siler, J. E. Faulds, Jacob DeAngelo
By
Geology, Minerals, Energy, and Geophysics Science Center

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
By
Geology, Minerals, Energy, and Geophysics Science Center

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
By
Natural Hazards Mission Area, Geologic Hazards Science Center, Geology, Minerals, Energy, and Geophysics Science Center

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
By
Volcano Hazards Program, Geology, Minerals, Energy, and Geophysics Science Center, Volcano Science Center

MTH5: an archivable and exchangeable HDF5 format for magnetotelluric data

MTH5 is an exchangeable and archivable format for magnetotelluric time series to better serve the community through FAIR principles. MTH5 is an HDF5 data container for magnetotelluric time series data, but could be extended to other data types. This open-source Python package provides tools for reading/writing/manipulating MTH5 files.
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center

MT-metadata: Open-source Python package to work with magnetotelluric metadata

An open-source Python package to make reading/writing/editing magnetotelluric metadata easier.
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center

Science and Products

link
GMEG Exhibit poster

Geothermal Resource Investigations Project

Geothermal energy is a significant source of renewable electric power in the western United States and, with advances in exploration and development technologies, a potential source of a large fraction of baseload electric power for the entire country. This project focuses on advancing geothermal research through a better understanding of geothermal resources and the impacts of geothermal...
By
Energy Resources Program, Geology, Minerals, Energy, and Geophysics Science Center
link

Geothermal Resource Investigations Project

Geothermal energy is a significant source of renewable electric power in the western United States and, with advances in exploration and development technologies, a potential source of a large fraction of baseload electric power for the entire country. This project focuses on advancing geothermal research through a better understanding of geothermal resources and the impacts of geothermal...
Learn More
link
USGS science for a changing world logo

Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

A unique opportunity for USGS to collaborate with IRIS-PASSCAL (the national seismic instrument facility) has presented itself to develop a geophysical data archive format that follows FAIR principles. IRIS-PASSCAL is extending facility to include magnetotelluric (MT) instruments prescribing the need for them to archive collected MT data by extending their existing protocol. Concurrently...
By
Community for Data Integration (CDI)
link

Development of a Flexible Multi-Channel Spatiotemporal Geophysical HDF5 Data Format Supporting FAIR

A unique opportunity for USGS to collaborate with IRIS-PASSCAL (the national seismic instrument facility) has presented itself to develop a geophysical data archive format that follows FAIR principles. IRIS-PASSCAL is extending facility to include magnetotelluric (MT) instruments prescribing the need for them to archive collected MT data by extending their existing protocol. Concurrently, Congre
Learn More
Filter Total Items: 13

Magnetotelluric and TEM Data from the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2, 2020

This data set consists of 19 wideband magnetotelluric (MT) and 23 transient electromagnetic (TEM) soundings collected by the U.S. Geological Survey in June 2020 as part of the Umatilla Indian Reservation Geothermal Resources Assessment: Phase 2 project. Each MT station had 4 components, 2 orthogonal magnetic induction coils and 2 horizontal orthogonal electric dipoles. Data were...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric data across the Southern San Andreas Fault Zone, California

The Southern San Andreas fault (SSAF) poses one of the largest seismic risks in California. However, structural properties around Coachella Valley remain enigmatic. In 2019, we collected magnetotelluric soundings (MT) to help inform depth-dependent fault zone geometry, fluid content and porosity. This project was led by the Institute of Geophysics and Planetary Physics at the University...
By
Geology, Minerals, Energy, and Geophysics Science Center

Electrical Conductance Maps of the Great Basin, USA

Images of subsurface electrical conductivity are useful for locating fluids and other electrically conductive phases at depth in the Earth. This data release presents electrical conductance maps estimated from a 3D model of the Great Basin, USA, at five different depth ranges, spanning 2 to 200 km depth. Electrical conductance is the integration of electrical conductivity in a depth...
By
Geology, Minerals, Energy, and Geophysics Science Center

Geophysical characterization of geothermal resources on the Umatilla Indian Reservation in northeast Oregon

During the summers of 2017 and 2020, our team collected gravity, ground magnetic (ATV and hiked traverses), paleomagnetic and rock property (density and susceptibility) data on the Umatilla Indian Reservation (UIR) in northeast Oregon to aid in characterizing subsurface stratigraphy using 2D and 3D modeling methods. This data was integrated with conductance surfaces from a 3D...
By
Energy Resources Program, Geology, Minerals, Energy, and Geophysics Science Center

Repeat Magnetotelluric Transfer Functions from the 2012 Eruption of Tongariro, New Zealand

This dataset consists of 16 repeated magnetotelluric (MT) stations collected on Mount Tongariro, New Zealand, before (2009) and after (2013) the 2012 eruption. The data were collected in same locations with similiar instruments. Preeruption and posteruption electromagnetic magnetotelluric measurements determine variation in subsurface electrical properties resulting from changes in...
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric Data from the Gabbs Valley Region, Nevada, 2020

This data set consists of 59 wideband magnetotelluric (MT) stations collected by the U.S. Geological Survey in July and August of 2020 as part of a 1-year project funded by the Energy Resources Program of the U.S. Geological Survey to demonstrate full crustal control on geothermal systems in the Great Basin. Each station had 5 components, 3 orthogonal magnetic induction coils and 2...
By
Geology, Minerals, Energy, and Geophysics Science Center

Metadata standards for Magnetotelluric Time Series Data

Magnetotellurics (MT) is an electromagnetic geophysical method that is sensitive to variations in subsurface electrical resistivity. Measurements of natural electric and magnetic fields are done in the time domain, where instruments can record for a couple of hours up to mulitple months resulting in data sets on the order of gigabytes. The principles of findability, accessibility...
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center

Snake River Plain Play Fairway Analysis Phase 2 Favorability Model (DE EE0006733)

This data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis (DE EE0006733) for Phase 2 (ArcGIS shapefiles and raster files) as well as the model processing script, tables, and documentation used to generate data outputs. Phase 2 examines two subset areas of the Phase 1 study area, Mountain Home and Camas Prairie. Brief...
By
Geology, Minerals, Energy, and Geophysics Science Center

Snake River Plain Play Fairway Analysis Phase 1 Favorability Model (DE EE0006733)

This data release contains all digital geographic data used and produced by the Snake River Plain Play Fairway Analysis (DE EE0006733) for Phase 1 (ArcGIS shapefiles and raster files) as well as the model processing script, tables, and documentation used to generate data outputs. Brief descriptions of data layers are in the metadata of GIS files, greater detail is available in the Larger...
By
Energy Resources Program

Magnetotelluric data from San Pablo Bay, California

This dataset consists of 14 magnetotelluric (MT) stations collected in 2015 near San Pablo Bay, California along a east-northeast profile. The U.S. Geological Survey acquired these data to understand the fault geometry of the Hayward Fault and the Rodgers Creek Fault.
By
Geology, Minerals, Energy, and Geophysics Science Center

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.
By
Geology, Minerals, Energy, and Geophysics Science Center

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.
By
Geology, Minerals, Energy, and Geophysics Science Center

Three-dimensional geologic map the southeastern Gabbs Valley geothermal area, Nevada

This three-dimensional (3D) geologic map displays the subsurface geology in the upper ~4 kilometers of the Earth’s crust in the southeastern Gabbs Valley geothermal area of west-central Nevada. The 3D map was constructed by integrating the results from detailed geologic mapping, 3D gravity inversion modeling, and potential-field-geophysical studies. This effort was undertaken as part of...
By
Geology, Minerals, Energy, and Geophysics Science Center
Image: Mono Lake and Mono Craters Landscape Overview
Mono Lake and Mono Craters Landscape Overview
Mono Lake and Mono Craters Landscape Overview
Image: Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Looking north towards Mono Lake and Mono Craters from the summit of Reverse Peak.

By
Natural Hazards Mission Area, Communications and Publishing
Image: Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Mono Lake and Mono Craters Landscape Overview

Looking north towards Mono Lake and Mono Craters from the summit of Reverse Peak.

By
Natural Hazards Mission Area, Communications and Publishing
Filter Total Items: 32

Summary of results from monitoring the Geysers with continuous passive seismic and repeat magnetotelluric measurements (2021-2023)

Understanding temporal variations in a geothermal field can support operators in decision making that pertains to optimizing production and mitigating hazards. Between 2021 and 2023, The Geysers geothermal field in northern California was monitored with an array of continuous passive seismic sensors and annual repeat magnetotelluric (MT) measurements. Each of these data sets were...
Authors
Jared R. Peacock, David Alumbaugh, Roland Gritto, Evan Um, Craig Ulrich, Michael A. Mitchell, Craig Hartline
By
Geology, Minerals, Energy, and Geophysics Science Center

Community for Data Integration 2020 project report

The U.S. Geological Survey Community for Data Integration annually funds small projects focusing on data integration for interdisciplinary research, innovative data management, and demonstration of new technologies. This report provides a summary of the 12 projects funded in fiscal year 2020, outlining their goals, activities, and accomplishments.
Authors
Leslie Hsu, Emily G. Chapin, Theodore B. Barnhart, Amanda E. Cravens, Richard A. Erickson, Jason A. Ferrante, Aaron Fox, Nathaniel P. Hitt, Margaret E. Hunter, Katharine R. Kolb, Jared R. Peacock, Matthew D. Petkewich, Sasha Reed, Terry L. Sohl, Tanja N. Williamson
By
Ecosystems Mission Area, Science Analytics and Synthesis (SAS) Program, Science Synthesis, Analysis and Research Program, Community for Data Integration (CDI), Fort Collins Science Center, Southwest Biological Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center

Aurora: An open-source Python implementation of the EMTF package for magnetotelluric data processing using MTH5 and mt-metadata

The Aurora software package robustly estimates single station and remote reference electromagnetic transfer functions (TFs) from magnetotelluric (MT) time series. Aurora is part of an open-source processing workflow that leverages the self-describing data container MTH5, which in turn leverages the general mt-metadata framework to manage metadata. These pre-existing packages simplify the...
Authors
Karl Kappler, Jared R. Peacock, Gary D. Egbert, Andrew Frassetto, Lindsey Heagy, Anna Kelbert, Laura Keyson, Douglas W. Oldenburg, Timothy Ronan, Justin Sweet
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric investigation of northern Harrat Rahat, Kingdom of Saudi Arabia

Volcanism within the harrats (Arabic for “volcanic field”) of the Kingdom of Saudi Arabia includes at least one historical eruption occurring close to the holy city of Al Madīnah in 1256 C.E. As part of a volcanic- and seismic-hazard assessment of northern Harrat Rahat, magnetotelluric (MT) data were collected to investigate the structural setting of the area, the presence or absence of...
Authors
Jared R. Peacock, Paul A. Bedrosian, Maher K. Al-Dhahry, Adel Shareef, Daniel W. Feucht, Cliff D. Taylor, Benjamin R. Bloss, Hani M. Zahran
By
Natural Hazards Mission Area, Volcano Hazards Program, Geology, Geophysics, and Geochemistry Science Center, Geology, Minerals, Energy, and Geophysics Science Center, Volcano Science Center

Importance of understanding bottom-up control when characterizing geothermal systems

Methods designed to identify favorable areas for geothermal resources have traditionally been focused on near-surface information, namely data that can be compiled into a 2D map. However, these methods fail to account for the third dimension: depth. As a result, they do not incorporate deep crustal and mantle features like heat sources. Geophysical methods with multi-scale capabilities...
Authors
Jared R. Peacock, Paul A. Bedrosian
By
Geology, Minerals, Energy, and Geophysics Science Center

Cooperative joint inversion of magnetotelluric and microseismic data for imaging the Geysers geothermal field, California, USA

The Geysers geothermal field located in northern California, USA, is the world’s largest electricity-generating geothermal facility. To delineate the spatio-temporal distribution of reservoir steam and recharge water, we have collected microseismic and magnetotelluric (MT) data using a dense array of stations in 2021. The microseismic and MT data have been inverted together using a 3D...
Authors
Evan Um, Michael Commer, Roland Gritto, Jared R. Peacock, David Alumbaugh, Steve P. Jarpe, Craig Hartline
By
Geology, Minerals, Energy, and Geophysics Science Center

Magnetotelluric monitoring of the Geysers Steam Field, northern California: Phase 2

An original magnetotelluric (MT) survey collected in 2017 included 42 MT stations mainly in the northwestern part of The Geysers geothermal field in northern California. These data were modeled in 3D and imaged the electrically conductive cover, the electrically resistive steam field, and the electrically resistive Geysers plutonic complex (Peacock et al., 2020; Peacock et al. 2020a)...
Authors
Jared R. Peacock, David Alumbaugh, Michael Albert Mitchell, Craig Hartline
By
Geology, Minerals, Energy, and Geophysics Science Center

Imaging the magmatic plumbing of the Clear Lake Volcanic Field using 3-D gravity inversions

The Quaternary Clear Lake Volcanic Field (CLVF) in the Northern California Coast Range is the youngest of a string of northward-younging volcanic centers in the state. The CLVF is located within the broad San Andreas Transform Fault System and has been active intermittently for ∼2 million years. Heat beneath the CLVF supports The Geysers, one of the largest producing geothermal fields in...
Authors
Michael Albert Mitchell, Jared R. Peacock, Seth D. Burgess
By
Volcano Hazards Program, Geology, Minerals, Energy, and Geophysics Science Center, Volcano Science Center

A geophysical characterization of structure and geology of the Northern Granite Springs Valley Geothermal System, Northwestern Nevada

The northern Granite Springs Valley in northwestern Nevada is the focus of recent studies for its potential for hosting undiscovered geothermal resources. Although the area lacks definitive surface manifestations of an active hydrothermal system, previous studies identify this region as having potential for hosting a blind geothermal resource, based on elevated subsurface temperatures...
Authors
Jonathan M.G. Glen, Jared R. Peacock, Tait E. Earney, William D. Schermerhorn, Drew L. Siler, J. E. Faulds, Jacob DeAngelo
By
Geology, Minerals, Energy, and Geophysics Science Center

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
By
Geology, Minerals, Energy, and Geophysics Science Center

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
By
Natural Hazards Mission Area, Geologic Hazards Science Center, Geology, Minerals, Energy, and Geophysics Science Center

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
By
Volcano Hazards Program, Geology, Minerals, Energy, and Geophysics Science Center, Volcano Science Center

MTH5: an archivable and exchangeable HDF5 format for magnetotelluric data

MTH5 is an exchangeable and archivable format for magnetotelluric time series to better serve the community through FAIR principles. MTH5 is an HDF5 data container for magnetotelluric time series data, but could be extended to other data types. This open-source Python package provides tools for reading/writing/manipulating MTH5 files.
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center

MT-metadata: Open-source Python package to work with magnetotelluric metadata

An open-source Python package to make reading/writing/editing magnetotelluric metadata easier.
By
Community for Data Integration (CDI), Geology, Minerals, Energy, and Geophysics Science Center
Was this page helpful?