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
Filter Total Items: 37
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...
Authors
David C. Wilson, Emily Wolin, William L. Yeck, Robert E. Anthony, Adam T. Ringler
A big problem for small earthquakes: Benchmarking routine magnitudes and conversion relationships with coda-envelope-derived Mw in southern Kansas and northern Oklahoma
Earthquake magnitudes are widely relied upon measures of earthquake size. Although moment magnitude (MwMw) has become the established standard for moderate and large earthquakes, difficulty in reliably measuring seismic moments for small (generally Mw
Authors
David R. Shelly, Kevin Mayeda, Justin Barno, Katherine J. Whidden, Morgan P. Moschetti, Andrea L. Llenos, Justin L. Rubinstein, William L. Yeck, Paul S. Earle, Rengin Gök, William R. Walter
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...
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
Leveraging deep learning in global 24/7 real-time earthquake monitoring at the National Earthquake Information Center
Machine‐learning algorithms continue to show promise in their application to seismic processing. The U.S. Geological Survey National Earthquake Information Center (NEIC) is exploring the adoption of these tools to aid in simultaneous local, regional, and global real‐time earthquake monitoring. As a first step, we describe a simple framework to incorporate deep‐learning tools into NEIC...
Authors
William L. Yeck, John Patton, Zachary E. Ross, Gavin P. Hayes, Michelle M. Guy, Nicholas Ambruz, David R. Shelly, Harley M. Benz, Paul S. Earle
National earthquake information center strategic plan, 2019–23
Executive SummaryDamaging earthquakes occur regularly around the world; since the turn of the 20th century, hundreds of earthquakes have caused significant loss of life and (or) millions of dollars or more in economic losses. While most of these did not directly affect the United States and its Territories, by studying worldwide seismicity we can better understand how to mitigate the...
Authors
Gavin P. Hayes, Paul S. Earle, Harley M. Benz, David J. Wald, William L. Yeck
On the portability of ML-MC as a depth discriminant for small seismic events recorded at local distances
In this paper we show that ML-MC is a viable and regionally portable depth discriminant and therefore may contribute in nuclear test ban treaty verification. A recent study found that the difference between local magnitude (ML) and coda duration magnitude (MC) discriminates shallow seismic events (mining blasts, mining-induced earthquakes, and shallow tectonic earthquakes) from deeper...
Authors
Monique M. Holt, Keith D. Koper, William L. Yeck, Sebastiano D'Amico, Zongshan Li, J. Mark Hale, Relu Burlacu
Science and Products
Filter Total Items: 37
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...
Authors
David C. Wilson, Emily Wolin, William L. Yeck, Robert E. Anthony, Adam T. Ringler
A big problem for small earthquakes: Benchmarking routine magnitudes and conversion relationships with coda-envelope-derived Mw in southern Kansas and northern Oklahoma
Earthquake magnitudes are widely relied upon measures of earthquake size. Although moment magnitude (MwMw) has become the established standard for moderate and large earthquakes, difficulty in reliably measuring seismic moments for small (generally Mw
Authors
David R. Shelly, Kevin Mayeda, Justin Barno, Katherine J. Whidden, Morgan P. Moschetti, Andrea L. Llenos, Justin L. Rubinstein, William L. Yeck, Paul S. Earle, Rengin Gök, William R. Walter
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...
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
Leveraging deep learning in global 24/7 real-time earthquake monitoring at the National Earthquake Information Center
Machine‐learning algorithms continue to show promise in their application to seismic processing. The U.S. Geological Survey National Earthquake Information Center (NEIC) is exploring the adoption of these tools to aid in simultaneous local, regional, and global real‐time earthquake monitoring. As a first step, we describe a simple framework to incorporate deep‐learning tools into NEIC...
Authors
William L. Yeck, John Patton, Zachary E. Ross, Gavin P. Hayes, Michelle M. Guy, Nicholas Ambruz, David R. Shelly, Harley M. Benz, Paul S. Earle
National earthquake information center strategic plan, 2019–23
Executive SummaryDamaging earthquakes occur regularly around the world; since the turn of the 20th century, hundreds of earthquakes have caused significant loss of life and (or) millions of dollars or more in economic losses. While most of these did not directly affect the United States and its Territories, by studying worldwide seismicity we can better understand how to mitigate the...
Authors
Gavin P. Hayes, Paul S. Earle, Harley M. Benz, David J. Wald, William L. Yeck
On the portability of ML-MC as a depth discriminant for small seismic events recorded at local distances
In this paper we show that ML-MC is a viable and regionally portable depth discriminant and therefore may contribute in nuclear test ban treaty verification. A recent study found that the difference between local magnitude (ML) and coda duration magnitude (MC) discriminates shallow seismic events (mining blasts, mining-induced earthquakes, and shallow tectonic earthquakes) from deeper...
Authors
Monique M. Holt, Keith D. Koper, William L. Yeck, Sebastiano D'Amico, Zongshan Li, J. Mark Hale, Relu Burlacu