William L Yeck, PhD
I am a seismologist at the USGS Geologic Hazards Science Center, in Golden, Colorado. Much of my research is focused on operational tools that allow the National Earthquake Information Center to rapidly and accurately detect and model the source characteristics of earthquakes. I use these tools to better understand the seismotectonics of significant events.
Education:
2015 - Ph.D. in Geophysics, University of Colorado at Boulder
2008 - B.S. in Physics, Astronomy-Physics, (Minor in Archeology), University of Wisconsin - Madison
Publications:
Please visit my google scholar page for the most up-to-date list of my publications: Click Here
Science and Products
Improving Earthquake Monitoring with Deep Learning
Release Date: MARCH 12, 2021 On January 20, 2021 at 8:32am light shaking interrupted breakfast customers at a local coffee shop south of downtown Los Angeles, California. Everyone paused briefly while they waited to see if it was going to stop… or start shaking harder.
Datasets documenting Surface Rupture from an Aftershock: Remote Observations from the January 2024 Wushi (Aykol) Earthquakes, China Datasets documenting Surface Rupture from an Aftershock: Remote Observations from the January 2024 Wushi (Aykol) Earthquakes, China
This data release provides shapefiles of surface rupture mapping, interferometric synthetic aperture radar (InSAR) data, finite fault modeling inputs, parameters, and outputs, and optical image cross-correlation displacement data derived from high-resolution satellite imagery to accompany the manuscript “Thompson Jobe and others, Surface Rupture From an Aftershock: Remote Observations...
Slow Rupture, Long Rise Times, and Multi-fault Geometry: The 2020 M6.4 Southwestern Puerto Rico Mainshock (Supporting Information) Slow Rupture, Long Rise Times, and Multi-fault Geometry: The 2020 M6.4 Southwestern Puerto Rico Mainshock (Supporting Information)
This data release complements the following publication: Solares-Colón, M. M., Goldberg D.E., Melgar, D., Vanacore, E.A., Sahakian, V.J., Yeck, W.L., Hernandez, F., López-Venegas, A.M (2025). Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock. Geophysical Research Letters, 52, e2024GL109740. https://doi.org/10.1029/2024GL109740...
Supporting Data and Models for An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake? Supporting Data and Models for An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?
This data release contains several input data and inversion output files used to model the October 19, 2020, Mw7.6 Sand Point, Alaska, earthquake and tsunami. The broadband seismic data in this data release are from globally distributed seismometers from networks G (https://doi.org/10.18715/GEOSCOPE.G), GE (https://doi.org/10.14470/TR560404), GR (https://doi.org/10.25928/mbx6-hr74), GS...
Supporting Data and Models for Characterizing the February 2023 Kahramanmaraş, Türkiye, Earthquake Sequence Supporting Data and Models for Characterizing the February 2023 Kahramanmaraş, Türkiye, Earthquake Sequence
This data release pertains to the February 2023 Kahramanmaraş, Türkiye earthquake sequence and complements the following publication: Goldberg, D.E. et al. (2023) Rapid Characterization of the February 2023 Kahramanmaraş, Türkiye, Earthquake Sequence, The Seismic Record. (xx), 1, doi: 10.1785/0320230009. Child Items "2023-02-06 Mw7.8 Pazarcık Earthquake Finite Fault Data and Model" and...
SYNthetic DEPTH Phase Modeling (SYNDEPTH) SYNthetic DEPTH Phase Modeling (SYNDEPTH)
This python code models event depths by comparing high-frequency (~0.5-0.04 Hz) teleseismic body-wave waveforms to synthetics. High-frequency body waves contain depth information, primarily in the form of depth phases. While lower frequencies are used to generate moment tensor solutions, high-frequency body waves allow for more accurate estimates of source depth. A moment tensor solution...
Waveform Data and Metadata used to National Earthquake Information Center Deep-Learning Models Waveform Data and Metadata used to National Earthquake Information Center Deep-Learning Models
These data were used to train the Machine Learning models supporting the USGS software release "NEIC Machine Learning Applications Software" (https://doi.org/10.5066/P9ICQPUR), and its companion publication in Seismological Research Letters "Leveraging Deep Learning in Global 24/7 Real-Time Earthquake Monitoring at the National Earthquake Information Center" (https://doi.org/XXXXX)...
neic-machine-learning neic-machine-learning
NEIC Machine Learning Applications contains various seismic machine learning algorithms developed and used by by the United States Geological Survey, National Earthquake Information Center. These algorithms apply machine learning techniques to seismic processing problems such as seismic phase classification, source-receiver distance classification, and seismic wave arrival time repicking...
Spatiotemporal Analysis of the Foreshock-Mainshock-Aftershock Sequence of the 6 July 2017 M5.8 Lincoln, Montana, Earthquake - Data Release Spatiotemporal Analysis of the Foreshock-Mainshock-Aftershock Sequence of the 6 July 2017 M5.8 Lincoln, Montana, Earthquake - Data Release
We used matched filter detection and multiple-event relocation techniques to characterize the spatiotemporal evolution of the sequence. Our analysis is from the 14 closest seismic stations to the earthquake sequence, which included seven permanent stations from the Montana Regional Seismic Network, one permanent station from the ANSS backbone network and three temporary seismic stations...
neic-glass3 neic-glass3
neic-glass3 is an open source and platform independent seismic event detection and association algorithm developed by the United States Geological Survey (USGS) National Earthquake Information Center (NEIC) and Caryl Erin Johnson, PhD, Introspective Systems LLC. This algorithm converts a time series of seismic phase arrival times, back azimuth estimates from array beams, and cross...
Earthquake Catalogs supporting manuscript "Afterslip Enhanced Aftershock Activity During the 2017 Earthquake Sequence Near Sulphur Peak, Idaho" Earthquake Catalogs supporting manuscript "Afterslip Enhanced Aftershock Activity During the 2017 Earthquake Sequence Near Sulphur Peak, Idaho"
This ScienceBase entry contains three seismic catalogs supporting and described by the manuscript - Koper, K. D., Pankow, K. L., Pechmann, J. C., Hale, J. M., Burlacu, R., Yeck, W. L., et al (2018). Afterslip Enhanced Aftershock Activity During the 2017 Earthquake Sequence Near Sulphur Peak, Idaho. Geophysical Research Letters, 45. https://doi.org/10.1029/2018GL078196. These are included...
A database of instrumentally recorded ground motion intensity measurements from induced earthquakes in Oklahoma and Kansas A database of instrumentally recorded ground motion intensity measurements from induced earthquakes in Oklahoma and Kansas
The database contains uniformly processed ground motion intensity measurements (peak horizontal ground motions and 5-percent-damped pseudospectral accelerations for oscillator periods 0.110 s). The earthquake event set includes more than 3,800 M≥3 earthquakes in Oklahoma and Kansas from January 2009 to December 2016. Ground motion time series were collected out to 500 km. We also...
Aftershock Catalog for the November 2011 Prague, Oklahoma Earthquake Sequence Aftershock Catalog for the November 2011 Prague, Oklahoma Earthquake Sequence
The dataset contains the catalog of 5446 events and arrival times resulting from subspace detection processing and relocation in the for the 2011 Prague, Oklahoma, aftershock sequence. Lines beginning with "E" contain event information in the following order: event ID, origin year, origin month, origin day, origin hour, origin minute, origin second, latitude, longitude, depth, and...
Filter Total Items: 39
Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk
The 28 March 2025 moment magnitude (Mw) 7.7 earthquake in Mandalay, Burma (Myanmar), ruptured 475 kilometers of the Sagaing Fault, which was more than twice the length predicted by magnitude scaling relationships. Kinematic slip models and observation of a Rayleigh Mach wave that passed through parts of Thailand confirmed that rupture occurred at supershear velocities of greater than 5...
Authors
Dara Goldberg, William Yeck, Catherine Elise Hanagan, James Atterholt, Haiyang Kehoe, Nadine Reitman, William Barnhart, David Shelly, Alexandra Hatem, David Wald, Paul Earle
Estimating earthquake source depth using teleseismic broadband waveform modeling at the USGS National Earthquake Information Center Estimating earthquake source depth using teleseismic broadband waveform modeling at the USGS National Earthquake Information Center
The U.S. Geologic Survey National Earthquake Information Center (NEIC) monitors global seismicity, producing a catalog of earthquake source parameters in near-real-time to provide information that can help mitigate the societal impact of earthquakes. The NEIC commonly relies on teleseismic observations to constrain earthquake source parameters (e.g., location, depth, magnitude, and...
Authors
William Yeck, Robert B. Herrmann, John Patton, William Barnhart, Harley Benz
Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock
The M6.4 mainshock of the southwestern Puerto Rico seismic sequence on 7 January 2020, was one of the most impactful modern earthquakes in the northeastern Caribbean. Due to its offshore location and complex aftershock distribution, its source kinematics remain poorly constrained. This active sequence illuminated a complex set of previously unrecognized structures that indicate multiple...
Authors
Margarita M. Solares-Colón, Dara Goldberg, Diego Melgar, Elizabeth Vanacore, Valerie J. Sahakian, William Yeck, Francisco Hernández, Alberto Lopez-Venegas
An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake? An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?
On October 19, 2020, the Mw7.6 Sand Point earthquake struck south of the Shumagin Islands in Alaska. Moment tensors indicate the earthquake was primarily strike-slip, yet the event produced an enigmatic tsunami that was larger and more widespread than expected for an earthquake of that magnitude and mechanism. Using a suite of hydrodynamic, seismic, and geodetic modeling techniques, we...
Authors
Sean R. Santellanes, Dara Goldberg, Pablo Koch, Diego Melgar, William Yeck, Brendan Crowell, Jiun-Ting Lin
Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan
A moderate-magnitude earthquake swarm occurred in the remote Izu Islands region of Japan between October 1 and 8, 2023. The swarm included 151 shallow earthquakes cataloged by the U.S. Geological Survey, which notably included a roughly 2.5-hr episode of 15 successive magnitude (M) 5.5 earthquakes. Origin times were coincident with regionally recorded tsunami waves, but tsunamigenesis...
Authors
Chanel Ashlie Deane, J.D. Pesicek, Stephanie Prejean, Paul Earle, David Shelly, William Yeck
Uncertainty and spatial correlation in station measurements for mb magnitude estimation Uncertainty and spatial correlation in station measurements for mb magnitude estimation
The body‐wave magnitude () is a long‐standing network‐averaged, amplitude‐based magnitude used to estimate the magnitude of seismic sources from teleseismic observations. The U.S. Geological Survey National Earthquake Information Center (NEIC) relies on in its global real‐time earthquake monitoring mission. Although waveform modeling‐based moment magnitudes are the modern standard to...
Authors
William Yeck, Adam Ringler, David Shelly, Paul Earle, Harley Benz, David Wilson
Noise constraints on global body‐wave measurement thresholds Noise constraints on global body‐wave measurement thresholds
Intermediate sized earthquakes (≈M4–6.5) are often measured using the teleseismic body‐wave magnitude (𝑚b). 𝑚b measurements are especially critical at the lower end of this range when teleseismic waveform modeling techniques (i.e., moment tensor analysis) are difficult. The U.S. Geological Survey National Earthquake Information Center (NEIC) determines the location and magnitude of all...
Authors
Adam Ringler, David Wilson, Paul Earle, William Yeck, David Mason, Justin T. Wilgus
Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California earthquake sequence Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California earthquake sequence
The Mendocino triple junction, the intersection of the Pacific, North American, and Gorda plates, activates a collection of disparate faults that reconcile Cascadia subduction with San Andreas transform motion. The December 20, 2022, Mw 6.4 Ferndale, California earthquake occurred within this complex zone as strike-slip faulting within the subducting Gorda slab. Here, we analyze the...
Authors
David Shelly, Dara Goldberg, Kathryn Materna, Robert Skoumal, Jeanne Hardebeck, Clara Yoon, William Yeck, Paul Earle
Rapid estimation of single-station earthquake magnitudes with machine learning on a global scale Rapid estimation of single-station earthquake magnitudes with machine learning on a global scale
The foundation of earthquake monitoring is the ability to rapidly detect, locate, and estimate the size of seismic sources. Earthquake magnitudes are particularly difficult to rapidly characterize because magnitude types are only applicable to specific magnitude ranges, and location errors propagate to substantial magnitude errors. We developed a method for rapid estimation of single...
Authors
Sydney Dybing, William Yeck, Hank Cole, Diego Melgar
The 2022 Chaos Canyon landslide in Colorado: Insights revealed by seismic analysis, field investigations, and remote sensing The 2022 Chaos Canyon landslide in Colorado: Insights revealed by seismic analysis, field investigations, and remote sensing
An unusual, high-alpine, rapid debris slide originating in ice-rich debris occurred on June 28, 2022, at 16:33:16 MDT at the head of Chaos Canyon, a formerly glacier-covered valley in Rocky Mountain National Park, CO, USA. In this study, we integrate eyewitness videos and seismic records of the event with meteorological data, field observations, pre- and post-event satellite imagery, and...
Authors
Kate Allstadt, Jeffrey Coe, Elaine Collins, Francis Rengers, Anne Mangeney, Scott Esser, Jana Pursley, William Yeck, John Bellini, Lance Brady
Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake
The U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC) estimates source characteristics of significant damaging earthquakes, aiming to place events within their seismotectonic framework. Contextualizing the 8 September 2023, Mw 6.8 Al Haouz, Morocco, earthquake is challenging, because it occurred in an enigmatic region of active surface faulting, and low...
Authors
William Yeck, Alexandra Hatem, Dara Goldberg, William Barnhart, Jessica Jobe, David Shelly, Antonio Villasenor, Harley Benz, Paul Earle
MLAAPDE: A machine learning dataset for determining global earthquake source parameters MLAAPDE: A machine learning dataset for determining global earthquake source parameters
The Machine Learning Asset Aggregation of the Preliminary Determination of Epicenters (MLAAPDE) dataset is a labeled waveform archive designed to enable rapid development of machine learning (ML) models used in seismic monitoring operations. MLAAPDE consists of more than 5.1 million recordings of 120 s long three‐component broadband waveform data (raw counts) for P, Pn, Pg, S, Sn, and Sg...
Authors
Hank Cole, William Yeck, Harley Benz
neic-supershear-analysis neic-supershear-analysis
NEIC Supershear Analysis This software evalutes potential supershear ruptures by attempting to detect a Rayleigh Mach wave. It follows the work of Valle and Dunham (2012): Vallée, M., and E. M. Dunham (2012), Observation of far-field Mach waves generated by the 2001 Kokoxili supershear earthquake, Geophys. Res. Lett., 39, L05311, doi:10.1029/2011GL050725. Long-period observations of...
SYNthetic DEPTH Phase Modeling (SYNDEPTH) SYNthetic DEPTH Phase Modeling (SYNDEPTH)
This python code models event depths by comparing high-frequency (~0.5-0.04 Hz) teleseismic body-wave waveforms to synthetics. High-frequency body waves contain depth information, primarily in the form of depth phases. While lower frequencies are used to generate moment tensor solutions, high-frequency body waves allow for more accurate estimates of source depth. A moment tensor solution...
neic-machine-learning neic-machine-learning
NEIC Machine Learning Applications contains various seismic machine learning algorithms developed and used by by the United States Geological Survey, National Earthquake Information Center. These algorithms apply machine learning techniques to seismic processing problems such as seismic phase classification, source-receiver distance classification, and seismic wave arrival time repicking...
neic-glass3 neic-glass3
neic-glass3 is an open source and platform independent seismic event detection and association algorithm developed by the United States Geological Survey (USGS) National Earthquake Information Center (NEIC) and Caryl Erin Johnson, PhD, Introspective Systems LLC. This algorithm converts a time series of seismic phase arrival times, back azimuth estimates from array beams, and cross...
Science and Products
Improving Earthquake Monitoring with Deep Learning
Release Date: MARCH 12, 2021 On January 20, 2021 at 8:32am light shaking interrupted breakfast customers at a local coffee shop south of downtown Los Angeles, California. Everyone paused briefly while they waited to see if it was going to stop… or start shaking harder.
Datasets documenting Surface Rupture from an Aftershock: Remote Observations from the January 2024 Wushi (Aykol) Earthquakes, China Datasets documenting Surface Rupture from an Aftershock: Remote Observations from the January 2024 Wushi (Aykol) Earthquakes, China
This data release provides shapefiles of surface rupture mapping, interferometric synthetic aperture radar (InSAR) data, finite fault modeling inputs, parameters, and outputs, and optical image cross-correlation displacement data derived from high-resolution satellite imagery to accompany the manuscript “Thompson Jobe and others, Surface Rupture From an Aftershock: Remote Observations...
Slow Rupture, Long Rise Times, and Multi-fault Geometry: The 2020 M6.4 Southwestern Puerto Rico Mainshock (Supporting Information) Slow Rupture, Long Rise Times, and Multi-fault Geometry: The 2020 M6.4 Southwestern Puerto Rico Mainshock (Supporting Information)
This data release complements the following publication: Solares-Colón, M. M., Goldberg D.E., Melgar, D., Vanacore, E.A., Sahakian, V.J., Yeck, W.L., Hernandez, F., López-Venegas, A.M (2025). Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock. Geophysical Research Letters, 52, e2024GL109740. https://doi.org/10.1029/2024GL109740...
Supporting Data and Models for An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake? Supporting Data and Models for An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?
This data release contains several input data and inversion output files used to model the October 19, 2020, Mw7.6 Sand Point, Alaska, earthquake and tsunami. The broadband seismic data in this data release are from globally distributed seismometers from networks G (https://doi.org/10.18715/GEOSCOPE.G), GE (https://doi.org/10.14470/TR560404), GR (https://doi.org/10.25928/mbx6-hr74), GS...
Supporting Data and Models for Characterizing the February 2023 Kahramanmaraş, Türkiye, Earthquake Sequence Supporting Data and Models for Characterizing the February 2023 Kahramanmaraş, Türkiye, Earthquake Sequence
This data release pertains to the February 2023 Kahramanmaraş, Türkiye earthquake sequence and complements the following publication: Goldberg, D.E. et al. (2023) Rapid Characterization of the February 2023 Kahramanmaraş, Türkiye, Earthquake Sequence, The Seismic Record. (xx), 1, doi: 10.1785/0320230009. Child Items "2023-02-06 Mw7.8 Pazarcık Earthquake Finite Fault Data and Model" and...
SYNthetic DEPTH Phase Modeling (SYNDEPTH) SYNthetic DEPTH Phase Modeling (SYNDEPTH)
This python code models event depths by comparing high-frequency (~0.5-0.04 Hz) teleseismic body-wave waveforms to synthetics. High-frequency body waves contain depth information, primarily in the form of depth phases. While lower frequencies are used to generate moment tensor solutions, high-frequency body waves allow for more accurate estimates of source depth. A moment tensor solution...
Waveform Data and Metadata used to National Earthquake Information Center Deep-Learning Models Waveform Data and Metadata used to National Earthquake Information Center Deep-Learning Models
These data were used to train the Machine Learning models supporting the USGS software release "NEIC Machine Learning Applications Software" (https://doi.org/10.5066/P9ICQPUR), and its companion publication in Seismological Research Letters "Leveraging Deep Learning in Global 24/7 Real-Time Earthquake Monitoring at the National Earthquake Information Center" (https://doi.org/XXXXX)...
neic-machine-learning neic-machine-learning
NEIC Machine Learning Applications contains various seismic machine learning algorithms developed and used by by the United States Geological Survey, National Earthquake Information Center. These algorithms apply machine learning techniques to seismic processing problems such as seismic phase classification, source-receiver distance classification, and seismic wave arrival time repicking...
Spatiotemporal Analysis of the Foreshock-Mainshock-Aftershock Sequence of the 6 July 2017 M5.8 Lincoln, Montana, Earthquake - Data Release Spatiotemporal Analysis of the Foreshock-Mainshock-Aftershock Sequence of the 6 July 2017 M5.8 Lincoln, Montana, Earthquake - Data Release
We used matched filter detection and multiple-event relocation techniques to characterize the spatiotemporal evolution of the sequence. Our analysis is from the 14 closest seismic stations to the earthquake sequence, which included seven permanent stations from the Montana Regional Seismic Network, one permanent station from the ANSS backbone network and three temporary seismic stations...
neic-glass3 neic-glass3
neic-glass3 is an open source and platform independent seismic event detection and association algorithm developed by the United States Geological Survey (USGS) National Earthquake Information Center (NEIC) and Caryl Erin Johnson, PhD, Introspective Systems LLC. This algorithm converts a time series of seismic phase arrival times, back azimuth estimates from array beams, and cross...
Earthquake Catalogs supporting manuscript "Afterslip Enhanced Aftershock Activity During the 2017 Earthquake Sequence Near Sulphur Peak, Idaho" Earthquake Catalogs supporting manuscript "Afterslip Enhanced Aftershock Activity During the 2017 Earthquake Sequence Near Sulphur Peak, Idaho"
This ScienceBase entry contains three seismic catalogs supporting and described by the manuscript - Koper, K. D., Pankow, K. L., Pechmann, J. C., Hale, J. M., Burlacu, R., Yeck, W. L., et al (2018). Afterslip Enhanced Aftershock Activity During the 2017 Earthquake Sequence Near Sulphur Peak, Idaho. Geophysical Research Letters, 45. https://doi.org/10.1029/2018GL078196. These are included...
A database of instrumentally recorded ground motion intensity measurements from induced earthquakes in Oklahoma and Kansas A database of instrumentally recorded ground motion intensity measurements from induced earthquakes in Oklahoma and Kansas
The database contains uniformly processed ground motion intensity measurements (peak horizontal ground motions and 5-percent-damped pseudospectral accelerations for oscillator periods 0.110 s). The earthquake event set includes more than 3,800 M≥3 earthquakes in Oklahoma and Kansas from January 2009 to December 2016. Ground motion time series were collected out to 500 km. We also...
Aftershock Catalog for the November 2011 Prague, Oklahoma Earthquake Sequence Aftershock Catalog for the November 2011 Prague, Oklahoma Earthquake Sequence
The dataset contains the catalog of 5446 events and arrival times resulting from subspace detection processing and relocation in the for the 2011 Prague, Oklahoma, aftershock sequence. Lines beginning with "E" contain event information in the following order: event ID, origin year, origin month, origin day, origin hour, origin minute, origin second, latitude, longitude, depth, and...
Filter Total Items: 39
Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk Ultralong, supershear rupture of the 2025 Mw 7.7 Mandalay earthquake reveals unaccounted risk
The 28 March 2025 moment magnitude (Mw) 7.7 earthquake in Mandalay, Burma (Myanmar), ruptured 475 kilometers of the Sagaing Fault, which was more than twice the length predicted by magnitude scaling relationships. Kinematic slip models and observation of a Rayleigh Mach wave that passed through parts of Thailand confirmed that rupture occurred at supershear velocities of greater than 5...
Authors
Dara Goldberg, William Yeck, Catherine Elise Hanagan, James Atterholt, Haiyang Kehoe, Nadine Reitman, William Barnhart, David Shelly, Alexandra Hatem, David Wald, Paul Earle
Estimating earthquake source depth using teleseismic broadband waveform modeling at the USGS National Earthquake Information Center Estimating earthquake source depth using teleseismic broadband waveform modeling at the USGS National Earthquake Information Center
The U.S. Geologic Survey National Earthquake Information Center (NEIC) monitors global seismicity, producing a catalog of earthquake source parameters in near-real-time to provide information that can help mitigate the societal impact of earthquakes. The NEIC commonly relies on teleseismic observations to constrain earthquake source parameters (e.g., location, depth, magnitude, and...
Authors
William Yeck, Robert B. Herrmann, John Patton, William Barnhart, Harley Benz
Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock Slow rupture, long rise times, and multi-fault geometry: The 2020 M6.4 southwestern Puerto Rico mainshock
The M6.4 mainshock of the southwestern Puerto Rico seismic sequence on 7 January 2020, was one of the most impactful modern earthquakes in the northeastern Caribbean. Due to its offshore location and complex aftershock distribution, its source kinematics remain poorly constrained. This active sequence illuminated a complex set of previously unrecognized structures that indicate multiple...
Authors
Margarita M. Solares-Colón, Dara Goldberg, Diego Melgar, Elizabeth Vanacore, Valerie J. Sahakian, William Yeck, Francisco Hernández, Alberto Lopez-Venegas
An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake? An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?
On October 19, 2020, the Mw7.6 Sand Point earthquake struck south of the Shumagin Islands in Alaska. Moment tensors indicate the earthquake was primarily strike-slip, yet the event produced an enigmatic tsunami that was larger and more widespread than expected for an earthquake of that magnitude and mechanism. Using a suite of hydrodynamic, seismic, and geodetic modeling techniques, we...
Authors
Sean R. Santellanes, Dara Goldberg, Pablo Koch, Diego Melgar, William Yeck, Brendan Crowell, Jiun-Ting Lin
Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan
A moderate-magnitude earthquake swarm occurred in the remote Izu Islands region of Japan between October 1 and 8, 2023. The swarm included 151 shallow earthquakes cataloged by the U.S. Geological Survey, which notably included a roughly 2.5-hr episode of 15 successive magnitude (M) 5.5 earthquakes. Origin times were coincident with regionally recorded tsunami waves, but tsunamigenesis...
Authors
Chanel Ashlie Deane, J.D. Pesicek, Stephanie Prejean, Paul Earle, David Shelly, William Yeck
Uncertainty and spatial correlation in station measurements for mb magnitude estimation Uncertainty and spatial correlation in station measurements for mb magnitude estimation
The body‐wave magnitude () is a long‐standing network‐averaged, amplitude‐based magnitude used to estimate the magnitude of seismic sources from teleseismic observations. The U.S. Geological Survey National Earthquake Information Center (NEIC) relies on in its global real‐time earthquake monitoring mission. Although waveform modeling‐based moment magnitudes are the modern standard to...
Authors
William Yeck, Adam Ringler, David Shelly, Paul Earle, Harley Benz, David Wilson
Noise constraints on global body‐wave measurement thresholds Noise constraints on global body‐wave measurement thresholds
Intermediate sized earthquakes (≈M4–6.5) are often measured using the teleseismic body‐wave magnitude (𝑚b). 𝑚b measurements are especially critical at the lower end of this range when teleseismic waveform modeling techniques (i.e., moment tensor analysis) are difficult. The U.S. Geological Survey National Earthquake Information Center (NEIC) determines the location and magnitude of all...
Authors
Adam Ringler, David Wilson, Paul Earle, William Yeck, David Mason, Justin T. Wilgus
Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California earthquake sequence Subduction intraslab-interface fault interactions in the 2022 Mw 6.4 Ferndale, California earthquake sequence
The Mendocino triple junction, the intersection of the Pacific, North American, and Gorda plates, activates a collection of disparate faults that reconcile Cascadia subduction with San Andreas transform motion. The December 20, 2022, Mw 6.4 Ferndale, California earthquake occurred within this complex zone as strike-slip faulting within the subducting Gorda slab. Here, we analyze the...
Authors
David Shelly, Dara Goldberg, Kathryn Materna, Robert Skoumal, Jeanne Hardebeck, Clara Yoon, William Yeck, Paul Earle
Rapid estimation of single-station earthquake magnitudes with machine learning on a global scale Rapid estimation of single-station earthquake magnitudes with machine learning on a global scale
The foundation of earthquake monitoring is the ability to rapidly detect, locate, and estimate the size of seismic sources. Earthquake magnitudes are particularly difficult to rapidly characterize because magnitude types are only applicable to specific magnitude ranges, and location errors propagate to substantial magnitude errors. We developed a method for rapid estimation of single...
Authors
Sydney Dybing, William Yeck, Hank Cole, Diego Melgar
The 2022 Chaos Canyon landslide in Colorado: Insights revealed by seismic analysis, field investigations, and remote sensing The 2022 Chaos Canyon landslide in Colorado: Insights revealed by seismic analysis, field investigations, and remote sensing
An unusual, high-alpine, rapid debris slide originating in ice-rich debris occurred on June 28, 2022, at 16:33:16 MDT at the head of Chaos Canyon, a formerly glacier-covered valley in Rocky Mountain National Park, CO, USA. In this study, we integrate eyewitness videos and seismic records of the event with meteorological data, field observations, pre- and post-event satellite imagery, and...
Authors
Kate Allstadt, Jeffrey Coe, Elaine Collins, Francis Rengers, Anne Mangeney, Scott Esser, Jana Pursley, William Yeck, John Bellini, Lance Brady
Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake Rapid Source Characterization of the 2023 Mw 6.8 Al Haouz, Morocco, Earthquake
The U.S. Geological Survey (USGS) National Earthquake Information Center (NEIC) estimates source characteristics of significant damaging earthquakes, aiming to place events within their seismotectonic framework. Contextualizing the 8 September 2023, Mw 6.8 Al Haouz, Morocco, earthquake is challenging, because it occurred in an enigmatic region of active surface faulting, and low...
Authors
William Yeck, Alexandra Hatem, Dara Goldberg, William Barnhart, Jessica Jobe, David Shelly, Antonio Villasenor, Harley Benz, Paul Earle
MLAAPDE: A machine learning dataset for determining global earthquake source parameters MLAAPDE: A machine learning dataset for determining global earthquake source parameters
The Machine Learning Asset Aggregation of the Preliminary Determination of Epicenters (MLAAPDE) dataset is a labeled waveform archive designed to enable rapid development of machine learning (ML) models used in seismic monitoring operations. MLAAPDE consists of more than 5.1 million recordings of 120 s long three‐component broadband waveform data (raw counts) for P, Pn, Pg, S, Sn, and Sg...
Authors
Hank Cole, William Yeck, Harley Benz
neic-supershear-analysis neic-supershear-analysis
NEIC Supershear Analysis This software evalutes potential supershear ruptures by attempting to detect a Rayleigh Mach wave. It follows the work of Valle and Dunham (2012): Vallée, M., and E. M. Dunham (2012), Observation of far-field Mach waves generated by the 2001 Kokoxili supershear earthquake, Geophys. Res. Lett., 39, L05311, doi:10.1029/2011GL050725. Long-period observations of...
SYNthetic DEPTH Phase Modeling (SYNDEPTH) SYNthetic DEPTH Phase Modeling (SYNDEPTH)
This python code models event depths by comparing high-frequency (~0.5-0.04 Hz) teleseismic body-wave waveforms to synthetics. High-frequency body waves contain depth information, primarily in the form of depth phases. While lower frequencies are used to generate moment tensor solutions, high-frequency body waves allow for more accurate estimates of source depth. A moment tensor solution...
neic-machine-learning neic-machine-learning
NEIC Machine Learning Applications contains various seismic machine learning algorithms developed and used by by the United States Geological Survey, National Earthquake Information Center. These algorithms apply machine learning techniques to seismic processing problems such as seismic phase classification, source-receiver distance classification, and seismic wave arrival time repicking...
neic-glass3 neic-glass3
neic-glass3 is an open source and platform independent seismic event detection and association algorithm developed by the United States Geological Survey (USGS) National Earthquake Information Center (NEIC) and Caryl Erin Johnson, PhD, Introspective Systems LLC. This algorithm converts a time series of seismic phase arrival times, back azimuth estimates from array beams, and cross...