Emily Wolin, PhD (Former Employee)
Science and Products
Automated detection of clipping in broadband earthquake records
Because the amount of available ground‐motion data has increased over the last decades, the need for automated processing algorithms has also increased. One difficulty with automated processing is to screen clipped records. Clipping occurs when the ground‐motion amplitude exceeds the dynamic range of the linear response of the instrument. Clipped records in which the amplitude exceeds the dynamic
Authors
James Kael Kleckner, Kyle Withers, Eric M. Thompson, J.M. Rekoske, Emily Wolin, Morgan P. Moschetti
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
Seismic monitoring during crises at the NEIC in support of the ANSS
Over the past two decades, the U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC) has overcome many operational challenges. These range from minor disruptions, such as power outages, to significant operational changes, including system reconfiguration to handle unique earthquake sequences and the need to handle distributed work during a pandemic. Our ability to overcome cr
Authors
Paul S. Earle, Harley M. Benz, William L. Yeck, Gavin P. Hayes, Michelle M. Guy, John Patton, David Kragness, David B. Mason, Brian Shiro, Emily Wolin, John Bellini, Jana Pursley, Robert Lorne Sanders
Seismic wave propagation and basin amplification in the Wasatch Front, Utah
Ground‐motion analysis of more than 3000 records from 59 earthquakes, including records from the March 2020 Mw 5.7 Magna earthquake sequence, was carried out to investigate site response and basin amplification in the Wasatch Front, Utah. We compare ground motions with the Bayless and Abrahamson (2019; hereafter, BA18) ground‐motion model (GMM) for Fourier amplitude spectra, which was developed on
Authors
Morgan P. Moschetti, David Henry Churchwell, Eric M. Thompson, John Rekoske, Emily Wolin, Oliver S. Boyd
Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions
The selection and weighting of ground‐motion models (GMMs) introduces a significant source of uncertainty in U.S. Geological Survey (USGS) National Seismic Hazard Modeling Project (NSHMP) forecasts. In this study, we evaluate 18 candidate GMMs using instrumental ground‐motion observations of horizontal peak ground acceleration (PGA) and 5%‐damped pseudospectral acceleration (0.02–10 s) for tectoni
Authors
Daniel E. McNamara, Emily Wolin, Peter M. Powers, Allison Shumway, Morgan P. Moschetti, John Rekoske, Eric M. Thompson, Charles Mueller, Mark D. Petersen
The U.S. Geological Survey’s Rapid Seismic Array Deployment for the 2019 Ridgecrest Earthquake Sequence
Rapid seismic deployments following large earthquakes capture ephemeral near‐field recordings of aftershocks and ambient noise that can provide valuable data for seismological studies. The U.S. Geological Survey installed 19 temporary seismic stations following the 4 July 2019 Mw 6.4 and 6 July 2019 (UTC) Mw 7.1 earthquakes near the city of Ridgecrest, California. The stations record the aftershoc
Authors
Elizabeth S. Cochran, Emily Wolin, Daniel E. McNamara, Alan Yong, David C. Wilson, Mark Alvarez, Nicholas van der Elst, Adria Ruth McClain, Jamison Haase Steidl
Establishing high-frequency noise baselines to 100 Hz based on millions of power spectra from IRIS MUSTANG
Advances in seismic instrumentation have enabled data to be recorded at increasing sample rates. This has in turn created a need to establish higher-frequency baselines for assessing data quality, as the widely-used New High (NHNM) and Low Noise Models (NLNM) of Peterson (1993) do not extend to frequencies above 10 Hz. To provide a baseline for higher frequencies (10-100 Hz), we examine power sp
Authors
Emily Wolin, Daniel McNamara
Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence
Instrumental ground‐motion recordings from the 2018 Anchorage, Alaska (Mw 7.1), earthquake sequence provide an independent data set allowing us to evaluate the predictive power of ground‐motion models (GMMs) for intraslab earthquakes associated with the Alaska subduction zone. In this study, we evaluate 15 candidate GMMs using instrumental ground‐motion observations of peak ground acceleration an
Authors
Daniel E. McNamara, Emily Wolin, Peter M. Powers, Allison Shumway, Morgan P. Moschetti, John Rekoske, Eric M. Thompson, Charles Mueller, Mark D. Petersen
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
Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.
Ground motion model (GMM) selection and weighting introduces a significant source of uncertainty in United States Geological Survey (USGS) seismic hazard models. The increase in moderate moment magnitude induced earthquakes (Mw 4 to 5.8) in Oklahoma and Kansas since 2009, due to increased wastewater injection related to oil and gas production (Keranen et al., 2013; 2014; Weingarten et al., 2015;
Authors
Daniel E. McNamara, Mark D. Petersen, Eric M. Thompson, Peter M. Powers, Allison Shumway, Susan M. Hoover, Morgan P. Moschetti, Emily Wolin
Do low-cost seismographs perform well enough for your network? An overview of laboratory tests and field observations of the OSOP Raspberry Shake 4D
Seismologists have recently begun utilizing low-cost nodal sensors in dense deployments to sample the seismic wavefield at unprecedented spatial resolution. Earthquake Early Warning Systems (EEWS) and other monitoring networks (e.g. wastewater injection) would additionally benefit from network densification; however, current nodal systems lack power systems and/or real-time data transmission requi
Authors
Robert E. Anthony, Adam T. Ringler, David C. Wilson, Emily Wolin
A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response
Myanmar is in a tectonically complex region between the eastern edge of the Himalayan collision zone and the northern end of the Sunda megathrust. Until recently, earthquake monitoring and research efforts have been hampered by a lack of modern instrumentation and communication infrastructure. In January 2016, a major upgrade of the Myanmar National Seismic Network (MNSN; network code MM) was unde
Authors
Hrin Nei Thiam, Yin Myo Min Htwe, Tun Lin Kyaw, Pa Pa Tun, Zaw Min, Sun Hninn Htwe, Tin Myo Aung, Kyaw Kyaw Lin, Myat Min Aung, Jason De Cristofaro, Mathias Franke, Stefan Radman, Elouie Lepiten, Emily Wolin, Susan E. Hough
Ground motion Fourier and response spectra from Utah earthquakes, 2010--2020
Records from strong motion stations were downloaded from FDSN and CESMD data centers with a search radius of approximately 220 km from Salt Lake City. Waveforms were processed to deconvolve instrument response and for baseline corrections. Signal was separated from noise using an automated P-wave picker. The signal was then windowed to include the mean plus two standard deviations of the signal. A
Science and Products
Automated detection of clipping in broadband earthquake records
Because the amount of available ground‐motion data has increased over the last decades, the need for automated processing algorithms has also increased. One difficulty with automated processing is to screen clipped records. Clipping occurs when the ground‐motion amplitude exceeds the dynamic range of the linear response of the instrument. Clipped records in which the amplitude exceeds the dynamic
Authors
James Kael Kleckner, Kyle Withers, Eric M. Thompson, J.M. Rekoske, Emily Wolin, Morgan P. Moschetti
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
Seismic monitoring during crises at the NEIC in support of the ANSS
Over the past two decades, the U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC) has overcome many operational challenges. These range from minor disruptions, such as power outages, to significant operational changes, including system reconfiguration to handle unique earthquake sequences and the need to handle distributed work during a pandemic. Our ability to overcome cr
Authors
Paul S. Earle, Harley M. Benz, William L. Yeck, Gavin P. Hayes, Michelle M. Guy, John Patton, David Kragness, David B. Mason, Brian Shiro, Emily Wolin, John Bellini, Jana Pursley, Robert Lorne Sanders
Seismic wave propagation and basin amplification in the Wasatch Front, Utah
Ground‐motion analysis of more than 3000 records from 59 earthquakes, including records from the March 2020 Mw 5.7 Magna earthquake sequence, was carried out to investigate site response and basin amplification in the Wasatch Front, Utah. We compare ground motions with the Bayless and Abrahamson (2019; hereafter, BA18) ground‐motion model (GMM) for Fourier amplitude spectra, which was developed on
Authors
Morgan P. Moschetti, David Henry Churchwell, Eric M. Thompson, John Rekoske, Emily Wolin, Oliver S. Boyd
Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard forecasts: Hawaii tectonic earthquakes and volcanic eruptions
The selection and weighting of ground‐motion models (GMMs) introduces a significant source of uncertainty in U.S. Geological Survey (USGS) National Seismic Hazard Modeling Project (NSHMP) forecasts. In this study, we evaluate 18 candidate GMMs using instrumental ground‐motion observations of horizontal peak ground acceleration (PGA) and 5%‐damped pseudospectral acceleration (0.02–10 s) for tectoni
Authors
Daniel E. McNamara, Emily Wolin, Peter M. Powers, Allison Shumway, Morgan P. Moschetti, John Rekoske, Eric M. Thompson, Charles Mueller, Mark D. Petersen
The U.S. Geological Survey’s Rapid Seismic Array Deployment for the 2019 Ridgecrest Earthquake Sequence
Rapid seismic deployments following large earthquakes capture ephemeral near‐field recordings of aftershocks and ambient noise that can provide valuable data for seismological studies. The U.S. Geological Survey installed 19 temporary seismic stations following the 4 July 2019 Mw 6.4 and 6 July 2019 (UTC) Mw 7.1 earthquakes near the city of Ridgecrest, California. The stations record the aftershoc
Authors
Elizabeth S. Cochran, Emily Wolin, Daniel E. McNamara, Alan Yong, David C. Wilson, Mark Alvarez, Nicholas van der Elst, Adria Ruth McClain, Jamison Haase Steidl
Establishing high-frequency noise baselines to 100 Hz based on millions of power spectra from IRIS MUSTANG
Advances in seismic instrumentation have enabled data to be recorded at increasing sample rates. This has in turn created a need to establish higher-frequency baselines for assessing data quality, as the widely-used New High (NHNM) and Low Noise Models (NLNM) of Peterson (1993) do not extend to frequencies above 10 Hz. To provide a baseline for higher frequencies (10-100 Hz), we examine power sp
Authors
Emily Wolin, Daniel McNamara
Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence
Instrumental ground‐motion recordings from the 2018 Anchorage, Alaska (Mw 7.1), earthquake sequence provide an independent data set allowing us to evaluate the predictive power of ground‐motion models (GMMs) for intraslab earthquakes associated with the Alaska subduction zone. In this study, we evaluate 15 candidate GMMs using instrumental ground‐motion observations of peak ground acceleration an
Authors
Daniel E. McNamara, Emily Wolin, Peter M. Powers, Allison Shumway, Morgan P. Moschetti, John Rekoske, Eric M. Thompson, Charles Mueller, Mark D. Petersen
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
Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.
Ground motion model (GMM) selection and weighting introduces a significant source of uncertainty in United States Geological Survey (USGS) seismic hazard models. The increase in moderate moment magnitude induced earthquakes (Mw 4 to 5.8) in Oklahoma and Kansas since 2009, due to increased wastewater injection related to oil and gas production (Keranen et al., 2013; 2014; Weingarten et al., 2015;
Authors
Daniel E. McNamara, Mark D. Petersen, Eric M. Thompson, Peter M. Powers, Allison Shumway, Susan M. Hoover, Morgan P. Moschetti, Emily Wolin
Do low-cost seismographs perform well enough for your network? An overview of laboratory tests and field observations of the OSOP Raspberry Shake 4D
Seismologists have recently begun utilizing low-cost nodal sensors in dense deployments to sample the seismic wavefield at unprecedented spatial resolution. Earthquake Early Warning Systems (EEWS) and other monitoring networks (e.g. wastewater injection) would additionally benefit from network densification; however, current nodal systems lack power systems and/or real-time data transmission requi
Authors
Robert E. Anthony, Adam T. Ringler, David C. Wilson, Emily Wolin
A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response
Myanmar is in a tectonically complex region between the eastern edge of the Himalayan collision zone and the northern end of the Sunda megathrust. Until recently, earthquake monitoring and research efforts have been hampered by a lack of modern instrumentation and communication infrastructure. In January 2016, a major upgrade of the Myanmar National Seismic Network (MNSN; network code MM) was unde
Authors
Hrin Nei Thiam, Yin Myo Min Htwe, Tun Lin Kyaw, Pa Pa Tun, Zaw Min, Sun Hninn Htwe, Tin Myo Aung, Kyaw Kyaw Lin, Myat Min Aung, Jason De Cristofaro, Mathias Franke, Stefan Radman, Elouie Lepiten, Emily Wolin, Susan E. Hough
Ground motion Fourier and response spectra from Utah earthquakes, 2010--2020
Records from strong motion stations were downloaded from FDSN and CESMD data centers with a search radius of approximately 220 km from Salt Lake City. Waveforms were processed to deconvolve instrument response and for baseline corrections. Signal was separated from noise using an automated P-wave picker. The signal was then windowed to include the mean plus two standard deviations of the signal. A