Robert E Anthony
Robert Anthony is a Research Geophysicist in the Earthquake Hazards Program.
Science and Products
Filter Total Items: 39
Improved resolution across the Global Seismographic Network: A new era in low-frequency seismology
The Global Seismographic Network (GSN)—a global network of ≈150 very broadband stations—is used by researchers to study the free oscillations of the Earth (≈0.3–10 mHz) following large earthquakes. Normal‐mode observations can provide information about the radial density and anisotropic velocity structure of the Earth (including near the core–mantle boundary), but only when signal‐to‐noise ratios
Authors
Adam T. Ringler, Robert E. Anthony, P. Thompson Davis, Carl Ebeling, K. Hafner, R. Mellors, S. Schneider, David C. Wilson
Seismic background noise levels across the continental United States from USArray Transportable Array: The influence of geology and geography
Since 2004, the most complete estimate of background noise levels across the continental U.S. was attained using 61 broadband seismic stations to calculate power spectral density (PSD) probability density functions. To improve seismic noise estimates across the U.S., we examine vertical component seismic data from the EarthScope USArray Transportable Array seismic network that rolled across the U.
Authors
Robert E. Anthony, Adam T. Ringler, David C. Wilson
Local variations in broadband sensor installations: Orientations, sensitivities, and noise levels
As seismologists continue to place more stringent demands on data quality, accurately described metadata are becoming increasingly important. In order to better constrain the orientation and sensitivities of seismometers deployed in U.S. Geological Survey networks, the Albuquerque Seismological Laboratory (ASL) has recently begun identifying true north with a fiber optic gyroscope (FOG) and has de
Authors
Adam T. Ringler, Robert E. Anthony
Modeling seismic network detection thresholds using production picking algorithms
Estimating the detection threshold of a seismic network (the minimum magnitude earthquake that can be reliably located) is a critical part of network design and can drive network maintenance efforts. The ability of a station to detect an earthquake is often estimated by assuming the spectral amplitude for an earthquake of a given size, assuming an attenuation relationship, and comparing the predic
Authors
David C. Wilson, Emily Wolin, William L. Yeck, Robert E. Anthony, Adam T. Ringler
Six decades of seismology at South Pole, Antarctica: Current limitations and future opportunities to facilitate new geophysical observations
Seismograms from the South Pole have been important for seismological observations for over six decades by providing (until 2007) the only continuous seismic records from the interior of the Antarctic continent. The South Pole, Antarctica station has undergone many updates over the years, including conversion to a digital recording station as part of the Global Seismographic Network (GSN) in 1991
Authors
Robert E. Anthony, Adam T. Ringler, M. DuVernois, K. Anderson, David C. Wilson
A review of timing accuracy across the Global Seismographic Network
The accuracy of timing across a seismic network is important for locating earthquakes as well as studies that use phase‐arrival information (e.g., tomography). The Global Seismographic Network (GSN) was designed with the goal of having reported timing be better than 10 ms. In this work, we provide a brief overview of how timing is kept across the GSN and discuss how clock‐quality metrics are embed
Authors
Adam T. Ringler, Robert E. Anthony, David C. Wilson, D. Auerbach, S. Bargabus, P.W. Davis, M. Gunnels, K. Hafner, James Holland, A. Kearns, E. Klimczak
Rayleigh wave amplitude uncertainty across the Global Seismographic Network and potential implications for global tomography
The Global Seismographic Network (GSN) is a multiuse, globally distributed seismic network used by seismologists, to both characterize earthquakes and study the Earth’s interior. Most stations in the network have two collocated broadband seismometers, which enable network operators to identify potential metadata and sensor issues. In this study, we investigate the accuracy with which surface waves
Authors
Adam T. Ringler, Robert E. Anthony, C. A. Dalton, David C. Wilson
Global quieting of high-frequency seismic noise due to COVID-19 pandemic lockdown measures
Human activity causes vibrations that propagate into the ground as high-frequency seismic waves. Measures to mitigate the COVID-19 pandemic caused widespread changes in human activity, leading to a months-long reduction in seismic noise of up to 50%. The 2020 seismic noise quiet period is the longest and most prominent global anthropogenic seismic noise reduction on record. While the reduction is
Authors
Thomas Lecocq, Stephen Hicks, Koen Van Noten, Kasper van Wijk, Paula Koelemeijer, Raphael S.M. De Plaen, Frederick Massin, Gregor Hillers, Robert E. Anthony, Maria-Theresia Apoloner, Mario Arroyo-Solorzano, Jelle D. Assink, Pinar Buyukakpinar, Andrea Cannata, Flavio Cannavo, Sebastian Carrasco, Corentin Caudron, Esteban J. Chaves, David G. Cornwell, David Craig, Oliver F.C. den Ouden, Jordi Diaz, Stefanie Donner, Christos P. Evangelidis, Laslo Evers, Benoit Fauville, Gonzalo A. Fernandez, Dimitrios Giannopoulos, Steven J. Gibbons, Társilo Girona, Bogdan Grecu, Marc Grunberg, Gyorgy Hetenyi, Anna Horleston, Adolfo Inza, Jessica C.E. Irving, Mohammadreza Jamalreyhani, Alan Kafka, Mathijs R. Koymans, Celeste Labedz, Eric Larose, Nathaniel J. Lindsey, Mika McKinnon, Tobias Megies, Meghan S. Miller, William G. Minarik, Louis Moresi, Victor H. Marquez-Ramirez, Martin Mollhoff, Ian Nesbitt, Shankho Niyogi, Javier Ojeda, Adrien Oth, Simon Proud, Jay Pulli, Lise Retailleau, Annukka E. Rintamaki, Claudio Satriano, Martha K. Savage, Shanhar Shani-Kamiel, Reinoud Sleeman, Efthimios Sokos, Klaus Stammler, Alexander E. Stott, Shiba Subedi, Mathilde B. Sorensen, Taka'aki Taira, Mar Tapia, Faith Turhan, Ben van der Pluijm, Mark Vanstone, Jerome Vernge, Tommi A.T. Vuorinen, Tristram Warren, Joachim Wassermann, Han Xiao
Towards understanding relationships between atmospheric pressure variations and long-period horizontal seismic data: A case study
Variations in atmospheric pressure have long been known to introduce noise in long-period (>10 s) seismic records. This noise can overwhelm signals of interest such as normal modes and surface waves. Generally, this noise is most pronounced on the horizontal components where it arises due to tilting of the seismometer in response to changes in atmospheric pressure. Several studies have suggested m
Authors
Alexis Casondra Bianca Alejandro, Adam T. Ringler, David C. Wilson, Robert E. Anthony, S.V. Moore
Magnetic field variations in Alaska: Recording space weather events on seismic stations in Alaska
Seismometers are highly sensitive instruments to not only ground motion but also many other nonseismic noise sources (e.g., temperature, pressure, and magnetic field variations). We show that the Alaska component of the Transportable Array is particularly susceptible to recording magnetic storms and other space weather events because the sensors used in this network are unshielded and magnetic flu
Authors
Adam T. Ringler, Robert E. Anthony, David C. Wilson, Abram E. Claycomb, John Spritzer
Installation and performance of the Albuquerque Seismological Laboratory small-aperture posthole array
The Global Seismographic Network (GSN) has been used extensively by seismologists to characterize large earthquakes and image deep earth structure. While some of the networks design goals have been met, the seismological community has suggested that the incorporation of small-aperture seismic arrays at select sites may improve performance of the network and enable new observations. As a pilot stu
Authors
Robert E. Anthony, Adam T. Ringler, David C. Wilson, J. Zebulon Maharrey, Gary Gyure, Aaron Pepiot, Leo D. Sandoval, Samuel Sandoval, Thomas Telesha, Gilbert Vallo, Nicholas Voss
How processing methodologies can distort and bias power spectral density estimates of seismic background noise
Power spectral density (PSD) estimates are widely used in seismological studies to characterize background noise conditions, assess instrument performance, and study quasi‐stationary signals that are difficult to observe in the time domain. However, these studies often utilize different processing techniques, each of which can inherently bias the resulting PSD estimates. The level of smoothing, th
Authors
Robert E. Anthony, Adam T. Ringler, David C. Wilson, Manochehr Bahavar, Keith D. Koper
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
Filter Total Items: 39
Improved resolution across the Global Seismographic Network: A new era in low-frequency seismology
The Global Seismographic Network (GSN)—a global network of ≈150 very broadband stations—is used by researchers to study the free oscillations of the Earth (≈0.3–10 mHz) following large earthquakes. Normal‐mode observations can provide information about the radial density and anisotropic velocity structure of the Earth (including near the core–mantle boundary), but only when signal‐to‐noise ratios
Authors
Adam T. Ringler, Robert E. Anthony, P. Thompson Davis, Carl Ebeling, K. Hafner, R. Mellors, S. Schneider, David C. Wilson
Seismic background noise levels across the continental United States from USArray Transportable Array: The influence of geology and geography
Since 2004, the most complete estimate of background noise levels across the continental U.S. was attained using 61 broadband seismic stations to calculate power spectral density (PSD) probability density functions. To improve seismic noise estimates across the U.S., we examine vertical component seismic data from the EarthScope USArray Transportable Array seismic network that rolled across the U.
Authors
Robert E. Anthony, Adam T. Ringler, David C. Wilson
Local variations in broadband sensor installations: Orientations, sensitivities, and noise levels
As seismologists continue to place more stringent demands on data quality, accurately described metadata are becoming increasingly important. In order to better constrain the orientation and sensitivities of seismometers deployed in U.S. Geological Survey networks, the Albuquerque Seismological Laboratory (ASL) has recently begun identifying true north with a fiber optic gyroscope (FOG) and has de
Authors
Adam T. Ringler, Robert E. Anthony
Modeling seismic network detection thresholds using production picking algorithms
Estimating the detection threshold of a seismic network (the minimum magnitude earthquake that can be reliably located) is a critical part of network design and can drive network maintenance efforts. The ability of a station to detect an earthquake is often estimated by assuming the spectral amplitude for an earthquake of a given size, assuming an attenuation relationship, and comparing the predic
Authors
David C. Wilson, Emily Wolin, William L. Yeck, Robert E. Anthony, Adam T. Ringler
Six decades of seismology at South Pole, Antarctica: Current limitations and future opportunities to facilitate new geophysical observations
Seismograms from the South Pole have been important for seismological observations for over six decades by providing (until 2007) the only continuous seismic records from the interior of the Antarctic continent. The South Pole, Antarctica station has undergone many updates over the years, including conversion to a digital recording station as part of the Global Seismographic Network (GSN) in 1991
Authors
Robert E. Anthony, Adam T. Ringler, M. DuVernois, K. Anderson, David C. Wilson
A review of timing accuracy across the Global Seismographic Network
The accuracy of timing across a seismic network is important for locating earthquakes as well as studies that use phase‐arrival information (e.g., tomography). The Global Seismographic Network (GSN) was designed with the goal of having reported timing be better than 10 ms. In this work, we provide a brief overview of how timing is kept across the GSN and discuss how clock‐quality metrics are embed
Authors
Adam T. Ringler, Robert E. Anthony, David C. Wilson, D. Auerbach, S. Bargabus, P.W. Davis, M. Gunnels, K. Hafner, James Holland, A. Kearns, E. Klimczak
Rayleigh wave amplitude uncertainty across the Global Seismographic Network and potential implications for global tomography
The Global Seismographic Network (GSN) is a multiuse, globally distributed seismic network used by seismologists, to both characterize earthquakes and study the Earth’s interior. Most stations in the network have two collocated broadband seismometers, which enable network operators to identify potential metadata and sensor issues. In this study, we investigate the accuracy with which surface waves
Authors
Adam T. Ringler, Robert E. Anthony, C. A. Dalton, David C. Wilson
Global quieting of high-frequency seismic noise due to COVID-19 pandemic lockdown measures
Human activity causes vibrations that propagate into the ground as high-frequency seismic waves. Measures to mitigate the COVID-19 pandemic caused widespread changes in human activity, leading to a months-long reduction in seismic noise of up to 50%. The 2020 seismic noise quiet period is the longest and most prominent global anthropogenic seismic noise reduction on record. While the reduction is
Authors
Thomas Lecocq, Stephen Hicks, Koen Van Noten, Kasper van Wijk, Paula Koelemeijer, Raphael S.M. De Plaen, Frederick Massin, Gregor Hillers, Robert E. Anthony, Maria-Theresia Apoloner, Mario Arroyo-Solorzano, Jelle D. Assink, Pinar Buyukakpinar, Andrea Cannata, Flavio Cannavo, Sebastian Carrasco, Corentin Caudron, Esteban J. Chaves, David G. Cornwell, David Craig, Oliver F.C. den Ouden, Jordi Diaz, Stefanie Donner, Christos P. Evangelidis, Laslo Evers, Benoit Fauville, Gonzalo A. Fernandez, Dimitrios Giannopoulos, Steven J. Gibbons, Társilo Girona, Bogdan Grecu, Marc Grunberg, Gyorgy Hetenyi, Anna Horleston, Adolfo Inza, Jessica C.E. Irving, Mohammadreza Jamalreyhani, Alan Kafka, Mathijs R. Koymans, Celeste Labedz, Eric Larose, Nathaniel J. Lindsey, Mika McKinnon, Tobias Megies, Meghan S. Miller, William G. Minarik, Louis Moresi, Victor H. Marquez-Ramirez, Martin Mollhoff, Ian Nesbitt, Shankho Niyogi, Javier Ojeda, Adrien Oth, Simon Proud, Jay Pulli, Lise Retailleau, Annukka E. Rintamaki, Claudio Satriano, Martha K. Savage, Shanhar Shani-Kamiel, Reinoud Sleeman, Efthimios Sokos, Klaus Stammler, Alexander E. Stott, Shiba Subedi, Mathilde B. Sorensen, Taka'aki Taira, Mar Tapia, Faith Turhan, Ben van der Pluijm, Mark Vanstone, Jerome Vernge, Tommi A.T. Vuorinen, Tristram Warren, Joachim Wassermann, Han Xiao
Towards understanding relationships between atmospheric pressure variations and long-period horizontal seismic data: A case study
Variations in atmospheric pressure have long been known to introduce noise in long-period (>10 s) seismic records. This noise can overwhelm signals of interest such as normal modes and surface waves. Generally, this noise is most pronounced on the horizontal components where it arises due to tilting of the seismometer in response to changes in atmospheric pressure. Several studies have suggested m
Authors
Alexis Casondra Bianca Alejandro, Adam T. Ringler, David C. Wilson, Robert E. Anthony, S.V. Moore
Magnetic field variations in Alaska: Recording space weather events on seismic stations in Alaska
Seismometers are highly sensitive instruments to not only ground motion but also many other nonseismic noise sources (e.g., temperature, pressure, and magnetic field variations). We show that the Alaska component of the Transportable Array is particularly susceptible to recording magnetic storms and other space weather events because the sensors used in this network are unshielded and magnetic flu
Authors
Adam T. Ringler, Robert E. Anthony, David C. Wilson, Abram E. Claycomb, John Spritzer
Installation and performance of the Albuquerque Seismological Laboratory small-aperture posthole array
The Global Seismographic Network (GSN) has been used extensively by seismologists to characterize large earthquakes and image deep earth structure. While some of the networks design goals have been met, the seismological community has suggested that the incorporation of small-aperture seismic arrays at select sites may improve performance of the network and enable new observations. As a pilot stu
Authors
Robert E. Anthony, Adam T. Ringler, David C. Wilson, J. Zebulon Maharrey, Gary Gyure, Aaron Pepiot, Leo D. Sandoval, Samuel Sandoval, Thomas Telesha, Gilbert Vallo, Nicholas Voss
How processing methodologies can distort and bias power spectral density estimates of seismic background noise
Power spectral density (PSD) estimates are widely used in seismological studies to characterize background noise conditions, assess instrument performance, and study quasi‐stationary signals that are difficult to observe in the time domain. However, these studies often utilize different processing techniques, each of which can inherently bias the resulting PSD estimates. The level of smoothing, th
Authors
Robert E. Anthony, Adam T. Ringler, David C. Wilson, Manochehr Bahavar, Keith D. Koper
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.