David Wilson
David Wilson is the director of the Global Seismographic Network.
Science and Products
Filter Total Items: 48
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
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
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. Although the network’s original 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
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
Using component ratios to detect metadata and instrument problems of seismic stations: Examples from 18 years of GEOSCOPE data
Replacement or deterioration of seismic instruments and the evolution of the installation conditions and sites can alter the seismic signal in very subtle ways, so it is notoriously difficult to monitor the signal quality of permanent seismic stations. We present a simple tool, energy ratios between each pair of the three recorded components, aimed at characterizing and monitoring signal quality,
Authors
Helle A. Pedersen, Nicolas Leroy, Dimitri Zigone, Martin Vallée, Adam T. Ringler, David C. Wilson
Calibration analysis and noise estimates of WWSSN Station ALQ (Albuquerque, New Mexico)
World‐Wide Standardized Seismograph Network (WWSSN) records contain daily calibration pulses that can be used to retrieve the magnification as well as the response of the instrument for a given day record. We analyze a select number of long‐period vertical (LPZ) records from WWSSN station ALQ (Albuquerque, New Mexico). Although we find that the response of this instrument varies widely throughout
Authors
Adam T. Ringler, David C. Wilson, Emily Wolin, Tyler Storm, L. D. Sandoval
Improvements in seismic resolution and current limitations in the Global Seismographic Network
Station noise levels play a fundamental limitation in our ability to detect seismic signals. These noise levels are frequency-dependent and arise from a number of physically different drivers. At periods greater than 100 s, station noise levels are often limited by the self-noise of the instrument as well as the sensitivity of the instrument to non-seismic noise sources. Recently, station opera
Authors
Adam T. Ringler, J. Steim, David C. Wilson, R. Widmer-Schnidrig, Robert E. Anthony
Science and Products
Filter Total Items: 48
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
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
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. Although the network’s original 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
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
Using component ratios to detect metadata and instrument problems of seismic stations: Examples from 18 years of GEOSCOPE data
Replacement or deterioration of seismic instruments and the evolution of the installation conditions and sites can alter the seismic signal in very subtle ways, so it is notoriously difficult to monitor the signal quality of permanent seismic stations. We present a simple tool, energy ratios between each pair of the three recorded components, aimed at characterizing and monitoring signal quality,
Authors
Helle A. Pedersen, Nicolas Leroy, Dimitri Zigone, Martin Vallée, Adam T. Ringler, David C. Wilson
Calibration analysis and noise estimates of WWSSN Station ALQ (Albuquerque, New Mexico)
World‐Wide Standardized Seismograph Network (WWSSN) records contain daily calibration pulses that can be used to retrieve the magnification as well as the response of the instrument for a given day record. We analyze a select number of long‐period vertical (LPZ) records from WWSSN station ALQ (Albuquerque, New Mexico). Although we find that the response of this instrument varies widely throughout
Authors
Adam T. Ringler, David C. Wilson, Emily Wolin, Tyler Storm, L. D. Sandoval
Improvements in seismic resolution and current limitations in the Global Seismographic Network
Station noise levels play a fundamental limitation in our ability to detect seismic signals. These noise levels are frequency-dependent and arise from a number of physically different drivers. At periods greater than 100 s, station noise levels are often limited by the self-noise of the instrument as well as the sensitivity of the instrument to non-seismic noise sources. Recently, station opera
Authors
Adam T. Ringler, J. Steim, David C. Wilson, R. Widmer-Schnidrig, Robert E. Anthony