Morgan P Moschetti, PhD
Morgan Moschetti is a research scientist in the Earthquake Hazards Program.
Professional Experience
2017–present Adjunct faculty, Geophysics, Colorado School of Mines, Golden, Colorado
2011–present Research Geophysicist, USGS, Golden, Colorado
Project chief, Ground Motion Project (2018–present)
NAT External grants coordinator (2017–present)
2009–2011 Research Geophysicist–Mendenhall postdoctoral, USGS, Golden, Colorado
Education and Certifications
PhD, Geophysics, Univ. of Colorado, Boulder, 2009, Dissertation title: Radially anisotropic shear-velocity structure of the crust and uppermost mantle beneath the western US from ambient noise tomography
MS, Geo-engineering (Applied Geophysics), Univ. of California, Berkeley, 2005
MS, Chemistry (Physical Chemistry), Univ. of California, Berkeley, 2004
BS with College Honors, Biochemistry, Univ. of Washington, Seattle, 1998
Science and Products
Ground Motion
The overall objective of this research is to improve the understanding of the damaging ground motions produced in earthquakes in order to develop better methods for seismic hazard assessment and mitigation in urban areas. The overall objective of this research is to improve the understanding of the damaging ground motions produced in earthquakes in order to develop better methods for seismic...
External Grants - Overview
The U.S. Geological Survey (USGS) provides support for research that will assist in achieving the goals of the Earthquake Hazards Program. The goal is to mitigate earthquake losses that can occur in many parts of the nation by providing earth science data and assessments essential for land-use planning, engineering design, and emergency preparedness decisions.
Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview
This data release contains data sets associated with the 2023 50-State National Seismic Hazard Model Update. The 2023 50-State National Seimsic Hazard Model (NSHM) Update includes an update to the NSHMs for the conterminous U.S (CONUS, last updated in 2018), Alaska (AK, last updated in 2007), and Hawaii (last updated in 2001). Data sets include inputs like seismicity catalogs used as input to the
Database of horizontal component Fourier amplitude spectra of acceleration ground motions from Pacific Northwest earthquakes
This dataset includes quadratic mean Fourier amplitude spectra (FAS) of acceleration ground motions from crustal and intraslab earthquakes in the US Pacific Northwest with magnitudes 3.5-6.8 and hypocentral depths 0-62 km. The dataset consists of 8,028 records from 96 different earthquakes between 1999 and 2020. These data were used to study site response and basin amplification in the Pacific Nor
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
Ground motions from the 2019 Ridgecrest, California, earthquake sequence
This project involves the compilation of ground motions, their derived parameters, and metadata for 133 earthquakes in the 2019 Ridgecrest, California, earthquake sequence. This dataset includes 22,991 records from 133 events from 4 July 2019 to 18 October 2019 with a magnitude range from 3.6 to 7.1.
Database of ground motions from tectonic and volcanic events, Hawaii, 2018
This study involves a collection of peak ground motions from the 2018 M6.9 earthquake near Leilani Estates, Hawaii and the seismicity associated with the Kilauea Volcano eruption and summit collapse events. This study was intended to provide instrumental ground motion observations to evaluate ground motion models for use in the USGS Hawaii seismic hazard model. Significant variations in ground mot
Database of ground motions from in-slab earthquakes near Anchorage, Alaska, 2008-2019
The dataset contains earthquake ground motions from intermediate-depth (in-slab) earthquakes occurring within 350 km of Anchorage, Alaska 2008-2019. Ground motions are processed as described in the accompanying journal article for rotation-independent horizontal-component ground-shaking at oscillator periods between 0.1 and 10 s.
Data for Rupture Model of the 2016 M5.8 Pawnee, Oklahoma Earthquake
The 2016 M5.8 Pawnee, Oklahoma earthquake is the largest earthquake to have been induced by wastewater disposal. We infer the coseismic slip history from analysis of apparent source time functions and inversion of regional and teleseismic P-waveforms, using aftershocks as empirical Green's functions. The earthquake nucleated on the shallow part of the fault, initially rupturing towards the surface
Data for ground motions from induced earthquakes in Oklahoma and Kansas
The dataset comprises information about the magnitudes, distances and periods of ground motion measurements from an analysis of earthquake ground motions from induced events in Oklahoma and Kansas. The data set also includes ground motion residuals from comparing earthquake ground shaking with commonly used models for predicting ground motions in the U.S.
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 relocated the maj
Database of earthquake ground motions from 3-D simulations on the Salt Lake City of the Wasatch fault zone, Utah
This dataset consists of the processed ground motions from 96 earthquake rupture scenarios for M7 earthquakes on the Salt Lake City segment of the Wasatch fault. Details about the simulation method, ground motion variability and sensitivity of the ground motions to the kinematic rupture parameters are described in the accompanying manuscript. Simulated data is distributed as 5-percent damped respo
2017 One-Year Seismic Hazard Forecast for the Central and Eastern United States from Induced and Natural Earthquakes
We produced a one-year 2017 seismic hazard forecast for the central and eastern United States from induced and natural earthquakes that replaces the one-year 2016 forecast, and evaluated the 2016 seismic hazard forecast to improve future assessments. The 2016 forecast indicated high seismic hazard (greater than 1% probability of damaging ground shaking in 1 year) in portions of Oklahoma/Kansas, th
2016 One-Year Seismic Hazard Forecast for the Central and Eastern United States from Induced and Natural Earthquakes
A one-year seismic hazard forecast for the Central and Eastern United States (CEUS), based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment
Seismic-hazard maps for the conterminous United States, 2014
The maps presented here provide an update to the 2008 data contained in U.S Geological Survey Scientific Investigations Map 3195 (http://pubs.usgs.gov/sim/3195/).Probabilistic seismic-hazard maps were prepared for the conterminous United States for 2014 portraying peak horizontal acceleration and horizontal spectral response acceleration for 0.2- and 1.0-second periods with probabilities of exceed
Filter Total Items: 61
Basin effects from 3D simulated ground motions in the Greater Los Angeles region for use in seismic-hazard analyses
We develop basin-depth-scaling models (i.e. “basin terms”) from the long-period (T≥2s) simulated ground motions of the Southern California Earthquake Center (SCEC) CyberShake project for use in seismic hazard analyses at sites within the sedimentary basins of southern California. Basin terms use the Next Generation Attenuation (NGA)-West-2 ground-motion models (GMMs) as reference models and use
Authors
Morgan P. Moschetti, Eric M. Thompson, Kyle Withers
Forecasting the long-term spatial distribution of earthquakes for the 2023 US National Seismic Hazard Model using gridded seismicity
Probabilistic seismic hazard analyses such as the U.S. National Seismic Hazard Model (NSHM) typically rely on declustering and spatially smoothing an earthquake catalog to estimate a long‐term time‐independent (background) seismicity rate to forecast future seismicity. In support of the U.S. Geological Survey’s (USGS) 2023 update to the NSHM, we update the methods used to develop this background o
Authors
Andrea L. Llenos, Andrew J. Michael, Allison Shumway, Justin Rubinstein, Kirstie Lafon Haynie, Morgan P. Moschetti, Jason M. Altekruse, Kevin R. Milner
Empirical ground-motion basin response in the California Great Valley, Reno, Nevada, and Portland, Oregon
We assess how well the Next-Generation Attenuation-West 2 (NGA-West2) ground-motion models (GMMs), which are used in the US Geological Survey’s (USGS) National Seismic Hazard Model (NSHM) for crustal faults in the western United States, predict the observed basin response in the Great Valley of California, the Reno basin in Nevada, and Portland and Tualatin basins in Oregon. These GMMs rely on sit
Authors
Sean Kamran Ahdi, Brad T. Aagaard, Morgan P. Moschetti, Grace Alexandra Parker, Oliver S. Boyd, William J. Stephenson
Data-driven adjustments for combined use of NGA-East hard-rock ground motion and site amplification models
Model development in the Next Generation Attenuation-East (NGA-East) project included two components developed concurrently and independently: (1) earthquake ground-motion models (GMMs) that predict the median and aleatory variability of various intensity measures conditioned on magnitude and distance, derived for a reference hard-rock site condition with an average shear-wave velocity in the uppe
Authors
Maria E. Ramos-Sepulveda, Jonathan P. Stewart, Grace Alexandra Parker, Morgan P. Moschetti, Eric M. Thompson, Scott J. Brandenberg, Youssef M A Hashash, Ellen Rathje
Recent applications of the USGS National Crustal Model for Seismic Hazard Studies
The U.S. Geological Survey is developing the National Crustal Model (NCM) for seismic hazard studies to facilitate modeling site, path, and source components of seismic hazard across the conterminous United States. The NCM is composed of a 1km grid of geophysical profiles, extending from the Earth’s surface into the upper mantle. It is constructed from a threedimensional (3D) geologic framework an
Authors
Oliver S. Boyd, James Andrew Smith, Morgan P. Moschetti, Brad T. Aagaard, Robert Graves, Evan Tyler Hirakawa, Sean Kamran Ahdi
The 2023 US 50-State National Seismic Hazard Model: Overview and implications
The US National Seismic Hazard Model (NSHM) was updated in 2023 for all 50 states using new science on seismicity, fault ruptures, ground motions, and probabilistic techniques to produce a standard of practice for public policy and other engineering applications (defined for return periods greater than ∼475 or less than ∼10,000 years). Changes in 2023 time-independent seismic hazard (both increase
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Edward H. Field, Morgan P. Moschetti, Kishor S. Jaiswal, Kevin R. Milner, Sanaz Rezaeian, Arthur Frankel, Andrea L. Llenos, Andrew J. Michael, Jason M. Altekruse, Sean Kamran Ahdi, Kyle Withers, Charles Mueller, Yuehua Zeng, Robert E. Chase, Leah M. Salditch, Nicolas Luco, Kenneth S. Rukstales, Julie A Herrick, Demi Leafar Girot, Brad T. Aagaard, Adrian Bender, Michael Blanpied, Richard W. Briggs, Oliver S. Boyd, Brandon Clayton, Christopher DuRoss, Eileen L. Evans, Peter J. Haeussler, Alexandra Elise Hatem, Kirstie Lafon Haynie, Elizabeth H. Hearn, Kaj M. Johnson, Zachary Alan Kortum, N. Simon Kwong, Andrew James Makdisi, Henry (Ben) Mason, Daniel McNamara, Devin McPhillips, P. Okubo, Morgan T. Page, Fred Pollitz, Justin Rubinstein, Bruce E. Shaw, Zheng-Kang Shen, Brian Shiro, James Andrew Smith, William J. Stephenson, Eric M. Thompson, Jessica Ann Thompson Jobe, Erin Wirth, Robert C. Witter
Sediment thickness map of United States Atlantic and Gulf Coastal Plain Strata, and their influence on earthquake ground motions
With the recent successful accounting of basin depth ground-motion adjustments in seismic hazard analyses for select areas of the western United States, we move toward implementing similar adjustments in the Atlantic and Gulf Coastal Plains by constructing a sediment thickness model and evaluating multiple relevant site amplification models for central and eastern United States seismic hazard anal
Authors
Oliver S. Boyd, David Churchwell, Morgan P. Moschetti, Eric M. Thompson, Martin C. Chapman, Okan Ilhan, Thomas L. Pratt, Sean Kamran Ahdi, Sanaz Rezaeian
Ground‐motion variability from kinematic rupture models and the implications for nonergodic probabilistic seismic hazard analysis
The variability of earthquake ground motions has a strong control on probabilistic seismic hazard analysis (PSHA), particularly for the low frequencies of exceedance used for critical facilities. We use a crossed mixed‐effects model to partition the variance components from simulated ground motions of Mw 7 earthquakes on the Salt Lake City segment of the Wasatch fault zone. Total variability of si
Authors
Grace Alexandra Parker, Morgan P. Moschetti, Eric M. Thompson
Magnitude conversion and earthquake recurrence rate models for the central and eastern United States
Development of Seismic Source Characterization (SSC) models, which is an essential part of Probabilistic Seismic Hazard Analyses (PSHA), can help forecast the temporal and spatial distribution of future damaging earthquakes (𝑀w≥ 5) in seismically active regions. Because it is impossible to associate all earthquakes with known faults, seismic source models for PSHA often include sources of diffuse
Authors
Rasool Anooshehpoor, Thomas Weaver, Jon Ake, Cliff Munson, Morgan P. Moschetti, David R. Shelly, Peter M. Powers
Investigations of ambient noise velocity variations in a region of induced seismicity near Greeley, Colorado
Wastewater injection has induced earthquakes in Northeastern Colorado since 2014. We apply ambient noise correlation techniques to determine temporal changes in seismic velocities in the region. We find no clear correlation between seismic velocity fluctuations and either injection volumes or seismicity patterns. We do observe apparent annual variations in velocity that may be associated with hydr
Authors
Thomas Clifford, Anne Sheehan, Morgan P. Moschetti
Implementation of basin models and sediment depth terms in the 2023 update of the U.S. National Seismic Hazard Model: Example from Reno, Nevada
We present a framework to evaluate the inclusion of candidate basin depth models in the U.S. Geological Survey National Seismic Hazard Model. We compute intensity measures (peak and spectral amplitudes) from uniformly processed earthquake ground motions in and around the basin of interest and compare these to ground-motion model (GMM) estimates over a range of oscillator periods. The GMMs use dept
Authors
Sean Kamran Ahdi, Morgan P. Moschetti, Brad T. Aagaard, Kaitlyn Abernathy, Oliver S. Boyd, William J. Stephenson
U.S. Geological Survey coastal plain amplification virtual workshop
In early October of 2020, the U.S. Geological Survey (USGS) held a virtual workshop to discuss Gulf and Atlantic Coastal Plains site-response models. Earthquake researchers came together to assess (1) research related to proposed Coastal Plains amplification models and (2) USGS plans for implementing these models. Presentations spanned a broad range of topics from Atlantic and Gulf Coastal Plains
Authors
Oliver S. Boyd, Thomas L. Pratt, Martin C. Chapman, Allison Shumway, Sanaz Rezaeian, Morgan P. Moschetti, Mark D. Petersen
Science and Products
Ground Motion
The overall objective of this research is to improve the understanding of the damaging ground motions produced in earthquakes in order to develop better methods for seismic hazard assessment and mitigation in urban areas. The overall objective of this research is to improve the understanding of the damaging ground motions produced in earthquakes in order to develop better methods for seismic...
External Grants - Overview
The U.S. Geological Survey (USGS) provides support for research that will assist in achieving the goals of the Earthquake Hazards Program. The goal is to mitigate earthquake losses that can occur in many parts of the nation by providing earth science data and assessments essential for land-use planning, engineering design, and emergency preparedness decisions.
Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview
This data release contains data sets associated with the 2023 50-State National Seismic Hazard Model Update. The 2023 50-State National Seimsic Hazard Model (NSHM) Update includes an update to the NSHMs for the conterminous U.S (CONUS, last updated in 2018), Alaska (AK, last updated in 2007), and Hawaii (last updated in 2001). Data sets include inputs like seismicity catalogs used as input to the
Database of horizontal component Fourier amplitude spectra of acceleration ground motions from Pacific Northwest earthquakes
This dataset includes quadratic mean Fourier amplitude spectra (FAS) of acceleration ground motions from crustal and intraslab earthquakes in the US Pacific Northwest with magnitudes 3.5-6.8 and hypocentral depths 0-62 km. The dataset consists of 8,028 records from 96 different earthquakes between 1999 and 2020. These data were used to study site response and basin amplification in the Pacific Nor
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
Ground motions from the 2019 Ridgecrest, California, earthquake sequence
This project involves the compilation of ground motions, their derived parameters, and metadata for 133 earthquakes in the 2019 Ridgecrest, California, earthquake sequence. This dataset includes 22,991 records from 133 events from 4 July 2019 to 18 October 2019 with a magnitude range from 3.6 to 7.1.
Database of ground motions from tectonic and volcanic events, Hawaii, 2018
This study involves a collection of peak ground motions from the 2018 M6.9 earthquake near Leilani Estates, Hawaii and the seismicity associated with the Kilauea Volcano eruption and summit collapse events. This study was intended to provide instrumental ground motion observations to evaluate ground motion models for use in the USGS Hawaii seismic hazard model. Significant variations in ground mot
Database of ground motions from in-slab earthquakes near Anchorage, Alaska, 2008-2019
The dataset contains earthquake ground motions from intermediate-depth (in-slab) earthquakes occurring within 350 km of Anchorage, Alaska 2008-2019. Ground motions are processed as described in the accompanying journal article for rotation-independent horizontal-component ground-shaking at oscillator periods between 0.1 and 10 s.
Data for Rupture Model of the 2016 M5.8 Pawnee, Oklahoma Earthquake
The 2016 M5.8 Pawnee, Oklahoma earthquake is the largest earthquake to have been induced by wastewater disposal. We infer the coseismic slip history from analysis of apparent source time functions and inversion of regional and teleseismic P-waveforms, using aftershocks as empirical Green's functions. The earthquake nucleated on the shallow part of the fault, initially rupturing towards the surface
Data for ground motions from induced earthquakes in Oklahoma and Kansas
The dataset comprises information about the magnitudes, distances and periods of ground motion measurements from an analysis of earthquake ground motions from induced events in Oklahoma and Kansas. The data set also includes ground motion residuals from comparing earthquake ground shaking with commonly used models for predicting ground motions in the U.S.
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 relocated the maj
Database of earthquake ground motions from 3-D simulations on the Salt Lake City of the Wasatch fault zone, Utah
This dataset consists of the processed ground motions from 96 earthquake rupture scenarios for M7 earthquakes on the Salt Lake City segment of the Wasatch fault. Details about the simulation method, ground motion variability and sensitivity of the ground motions to the kinematic rupture parameters are described in the accompanying manuscript. Simulated data is distributed as 5-percent damped respo
2017 One-Year Seismic Hazard Forecast for the Central and Eastern United States from Induced and Natural Earthquakes
We produced a one-year 2017 seismic hazard forecast for the central and eastern United States from induced and natural earthquakes that replaces the one-year 2016 forecast, and evaluated the 2016 seismic hazard forecast to improve future assessments. The 2016 forecast indicated high seismic hazard (greater than 1% probability of damaging ground shaking in 1 year) in portions of Oklahoma/Kansas, th
2016 One-Year Seismic Hazard Forecast for the Central and Eastern United States from Induced and Natural Earthquakes
A one-year seismic hazard forecast for the Central and Eastern United States (CEUS), based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment
Seismic-hazard maps for the conterminous United States, 2014
The maps presented here provide an update to the 2008 data contained in U.S Geological Survey Scientific Investigations Map 3195 (http://pubs.usgs.gov/sim/3195/).Probabilistic seismic-hazard maps were prepared for the conterminous United States for 2014 portraying peak horizontal acceleration and horizontal spectral response acceleration for 0.2- and 1.0-second periods with probabilities of exceed
Filter Total Items: 61
Basin effects from 3D simulated ground motions in the Greater Los Angeles region for use in seismic-hazard analyses
We develop basin-depth-scaling models (i.e. “basin terms”) from the long-period (T≥2s) simulated ground motions of the Southern California Earthquake Center (SCEC) CyberShake project for use in seismic hazard analyses at sites within the sedimentary basins of southern California. Basin terms use the Next Generation Attenuation (NGA)-West-2 ground-motion models (GMMs) as reference models and use
Authors
Morgan P. Moschetti, Eric M. Thompson, Kyle Withers
Forecasting the long-term spatial distribution of earthquakes for the 2023 US National Seismic Hazard Model using gridded seismicity
Probabilistic seismic hazard analyses such as the U.S. National Seismic Hazard Model (NSHM) typically rely on declustering and spatially smoothing an earthquake catalog to estimate a long‐term time‐independent (background) seismicity rate to forecast future seismicity. In support of the U.S. Geological Survey’s (USGS) 2023 update to the NSHM, we update the methods used to develop this background o
Authors
Andrea L. Llenos, Andrew J. Michael, Allison Shumway, Justin Rubinstein, Kirstie Lafon Haynie, Morgan P. Moschetti, Jason M. Altekruse, Kevin R. Milner
Empirical ground-motion basin response in the California Great Valley, Reno, Nevada, and Portland, Oregon
We assess how well the Next-Generation Attenuation-West 2 (NGA-West2) ground-motion models (GMMs), which are used in the US Geological Survey’s (USGS) National Seismic Hazard Model (NSHM) for crustal faults in the western United States, predict the observed basin response in the Great Valley of California, the Reno basin in Nevada, and Portland and Tualatin basins in Oregon. These GMMs rely on sit
Authors
Sean Kamran Ahdi, Brad T. Aagaard, Morgan P. Moschetti, Grace Alexandra Parker, Oliver S. Boyd, William J. Stephenson
Data-driven adjustments for combined use of NGA-East hard-rock ground motion and site amplification models
Model development in the Next Generation Attenuation-East (NGA-East) project included two components developed concurrently and independently: (1) earthquake ground-motion models (GMMs) that predict the median and aleatory variability of various intensity measures conditioned on magnitude and distance, derived for a reference hard-rock site condition with an average shear-wave velocity in the uppe
Authors
Maria E. Ramos-Sepulveda, Jonathan P. Stewart, Grace Alexandra Parker, Morgan P. Moschetti, Eric M. Thompson, Scott J. Brandenberg, Youssef M A Hashash, Ellen Rathje
Recent applications of the USGS National Crustal Model for Seismic Hazard Studies
The U.S. Geological Survey is developing the National Crustal Model (NCM) for seismic hazard studies to facilitate modeling site, path, and source components of seismic hazard across the conterminous United States. The NCM is composed of a 1km grid of geophysical profiles, extending from the Earth’s surface into the upper mantle. It is constructed from a threedimensional (3D) geologic framework an
Authors
Oliver S. Boyd, James Andrew Smith, Morgan P. Moschetti, Brad T. Aagaard, Robert Graves, Evan Tyler Hirakawa, Sean Kamran Ahdi
The 2023 US 50-State National Seismic Hazard Model: Overview and implications
The US National Seismic Hazard Model (NSHM) was updated in 2023 for all 50 states using new science on seismicity, fault ruptures, ground motions, and probabilistic techniques to produce a standard of practice for public policy and other engineering applications (defined for return periods greater than ∼475 or less than ∼10,000 years). Changes in 2023 time-independent seismic hazard (both increase
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Edward H. Field, Morgan P. Moschetti, Kishor S. Jaiswal, Kevin R. Milner, Sanaz Rezaeian, Arthur Frankel, Andrea L. Llenos, Andrew J. Michael, Jason M. Altekruse, Sean Kamran Ahdi, Kyle Withers, Charles Mueller, Yuehua Zeng, Robert E. Chase, Leah M. Salditch, Nicolas Luco, Kenneth S. Rukstales, Julie A Herrick, Demi Leafar Girot, Brad T. Aagaard, Adrian Bender, Michael Blanpied, Richard W. Briggs, Oliver S. Boyd, Brandon Clayton, Christopher DuRoss, Eileen L. Evans, Peter J. Haeussler, Alexandra Elise Hatem, Kirstie Lafon Haynie, Elizabeth H. Hearn, Kaj M. Johnson, Zachary Alan Kortum, N. Simon Kwong, Andrew James Makdisi, Henry (Ben) Mason, Daniel McNamara, Devin McPhillips, P. Okubo, Morgan T. Page, Fred Pollitz, Justin Rubinstein, Bruce E. Shaw, Zheng-Kang Shen, Brian Shiro, James Andrew Smith, William J. Stephenson, Eric M. Thompson, Jessica Ann Thompson Jobe, Erin Wirth, Robert C. Witter
Sediment thickness map of United States Atlantic and Gulf Coastal Plain Strata, and their influence on earthquake ground motions
With the recent successful accounting of basin depth ground-motion adjustments in seismic hazard analyses for select areas of the western United States, we move toward implementing similar adjustments in the Atlantic and Gulf Coastal Plains by constructing a sediment thickness model and evaluating multiple relevant site amplification models for central and eastern United States seismic hazard anal
Authors
Oliver S. Boyd, David Churchwell, Morgan P. Moschetti, Eric M. Thompson, Martin C. Chapman, Okan Ilhan, Thomas L. Pratt, Sean Kamran Ahdi, Sanaz Rezaeian
Ground‐motion variability from kinematic rupture models and the implications for nonergodic probabilistic seismic hazard analysis
The variability of earthquake ground motions has a strong control on probabilistic seismic hazard analysis (PSHA), particularly for the low frequencies of exceedance used for critical facilities. We use a crossed mixed‐effects model to partition the variance components from simulated ground motions of Mw 7 earthquakes on the Salt Lake City segment of the Wasatch fault zone. Total variability of si
Authors
Grace Alexandra Parker, Morgan P. Moschetti, Eric M. Thompson
Magnitude conversion and earthquake recurrence rate models for the central and eastern United States
Development of Seismic Source Characterization (SSC) models, which is an essential part of Probabilistic Seismic Hazard Analyses (PSHA), can help forecast the temporal and spatial distribution of future damaging earthquakes (𝑀w≥ 5) in seismically active regions. Because it is impossible to associate all earthquakes with known faults, seismic source models for PSHA often include sources of diffuse
Authors
Rasool Anooshehpoor, Thomas Weaver, Jon Ake, Cliff Munson, Morgan P. Moschetti, David R. Shelly, Peter M. Powers
Investigations of ambient noise velocity variations in a region of induced seismicity near Greeley, Colorado
Wastewater injection has induced earthquakes in Northeastern Colorado since 2014. We apply ambient noise correlation techniques to determine temporal changes in seismic velocities in the region. We find no clear correlation between seismic velocity fluctuations and either injection volumes or seismicity patterns. We do observe apparent annual variations in velocity that may be associated with hydr
Authors
Thomas Clifford, Anne Sheehan, Morgan P. Moschetti
Implementation of basin models and sediment depth terms in the 2023 update of the U.S. National Seismic Hazard Model: Example from Reno, Nevada
We present a framework to evaluate the inclusion of candidate basin depth models in the U.S. Geological Survey National Seismic Hazard Model. We compute intensity measures (peak and spectral amplitudes) from uniformly processed earthquake ground motions in and around the basin of interest and compare these to ground-motion model (GMM) estimates over a range of oscillator periods. The GMMs use dept
Authors
Sean Kamran Ahdi, Morgan P. Moschetti, Brad T. Aagaard, Kaitlyn Abernathy, Oliver S. Boyd, William J. Stephenson
U.S. Geological Survey coastal plain amplification virtual workshop
In early October of 2020, the U.S. Geological Survey (USGS) held a virtual workshop to discuss Gulf and Atlantic Coastal Plains site-response models. Earthquake researchers came together to assess (1) research related to proposed Coastal Plains amplification models and (2) USGS plans for implementing these models. Presentations spanned a broad range of topics from Atlantic and Gulf Coastal Plains
Authors
Oliver S. Boyd, Thomas L. Pratt, Martin C. Chapman, Allison Shumway, Sanaz Rezaeian, Morgan P. Moschetti, Mark D. Petersen