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 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
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.
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: 44
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
Basin and site effects in the U.S. Pacific Northwest estimated from small‐magnitude earthquakes
Earthquake hazards in the U.S. Pacific Northwest (PNW) are increased by the presence of deep sedimentary basins that amplify and prolong ground shaking. To better understand basin and site effects on ground motions, we compile a database of recordings from crustal and intraslab earthquakes. We process 8028 records with magnitudes from 3.5 to 6.8 and hypocentral depths up to 62 km to compute Fourie
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
The 2018 update of the US National Seismic Hazard Model: Ground motion models in the central and eastern US
The United States Geological Survey (USGS) National Seismic Hazard Model (NSHM) is the scientific foundation of seismic design regulations in the United States and is regularly updated to consider the best available science and data. The 2018 update of the conterminous US NSHM includes major changes to the underlying ground motion models (GMMs). Most of the changes are motivated by the new multi-p
Temporal seismic velocity variations: Recovery following from the 2019 Mw 7.1 Ridgecrest, California earthquake
We investigated seismic velocity changes (dv/v) associated with the 2019 Ridgecrest earthquake sequence with high‐frequency autocorrelations of ambient seismic noise data. Daily autocorrelation functions were computed for the entirety of 2019 and the first quarter of 2020 for broadband stations within the region, including the temporary broadband stations installed during the aftershock deployment
The 2018 update of the US National Seismic Hazard Model: Where, why, and how much probabilistic ground motion maps changed
The 2018 US Geological Survey National Seismic Hazard Model (NSHM) incorporates new data and updated science to improve the underlying earthquake and ground motion forecasts for the conterminous United States. The NSHM considers many new data and component input models: (1) new earthquakes between 2013 and 2017 and updated earthquake magnitudes for some earlier earthquakes; (2) two updated smoothe
Spectral inversion for seismic site response in central Oklahoma: Low-frequency resonances from the Great Unconformity
We investigate seismic site response by inverting seismic ground‐motion spectra for site and source spectral properties, in a region of central Oklahoma, where previous ground‐motion studies have indicated discrepancies between observations and ground‐motion models (GMMs). The inversion is constrained by a source spectral model, which we computed from regional seismic records, using aftershocks as
A machine learning approach to developing ground motion models from simulated ground motions
We use a machine learning approach to build a ground motion model (GMM) from a synthetic database of ground motions extracted from the Southern California CyberShake study. An artificial neural network is used to find the optimal weights that best fit the target data (without overfitting), with input parameters chosen to match that of state-of-the-art GMMs. We validate our synthetic-based GMM with
The 2019 Ridgecrest, California, earthquake sequence ground motions: Processed records and derived intensity metrics
Following the 2019 Ridgecrest, California, earthquake sequence, we compiled ground‐motion records from multiple data centers and processed these records using newly developed ground‐motion processing software that performs quality assurance checks, performs standard time series processing steps, and computes a wide range of ground‐motion metrics. In addition, we compute station and waveform metric
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
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
The 2018 update of the US National Seismic Hazard Model: Overview of model and implications
During 2017–2018, the National Seismic Hazard Model for the conterminous United States was updated as follows: (1) an updated seismicity catalog was incorporated, which includes new earthquakes that occurred from 2013 to 2017; (2) in the central and eastern United States (CEUS), new ground motion models were updated that incorporate updated median estimates, modified assessments of the associated
Science and Products
- Data
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. ADatabase 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 motDatabase 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 surfaceData 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.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 respo2017 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, th2016 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 - Maps
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 - Publications
Filter Total Items: 44
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 dynamicBasin and site effects in the U.S. Pacific Northwest estimated from small‐magnitude earthquakes
Earthquake hazards in the U.S. Pacific Northwest (PNW) are increased by the presence of deep sedimentary basins that amplify and prolong ground shaking. To better understand basin and site effects on ground motions, we compile a database of recordings from crustal and intraslab earthquakes. We process 8028 records with magnitudes from 3.5 to 6.8 and hypocentral depths up to 62 km to compute FourieSeismic 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 onThe 2018 update of the US National Seismic Hazard Model: Ground motion models in the central and eastern US
The United States Geological Survey (USGS) National Seismic Hazard Model (NSHM) is the scientific foundation of seismic design regulations in the United States and is regularly updated to consider the best available science and data. The 2018 update of the conterminous US NSHM includes major changes to the underlying ground motion models (GMMs). Most of the changes are motivated by the new multi-pTemporal seismic velocity variations: Recovery following from the 2019 Mw 7.1 Ridgecrest, California earthquake
We investigated seismic velocity changes (dv/v) associated with the 2019 Ridgecrest earthquake sequence with high‐frequency autocorrelations of ambient seismic noise data. Daily autocorrelation functions were computed for the entirety of 2019 and the first quarter of 2020 for broadband stations within the region, including the temporary broadband stations installed during the aftershock deploymentThe 2018 update of the US National Seismic Hazard Model: Where, why, and how much probabilistic ground motion maps changed
The 2018 US Geological Survey National Seismic Hazard Model (NSHM) incorporates new data and updated science to improve the underlying earthquake and ground motion forecasts for the conterminous United States. The NSHM considers many new data and component input models: (1) new earthquakes between 2013 and 2017 and updated earthquake magnitudes for some earlier earthquakes; (2) two updated smootheSpectral inversion for seismic site response in central Oklahoma: Low-frequency resonances from the Great Unconformity
We investigate seismic site response by inverting seismic ground‐motion spectra for site and source spectral properties, in a region of central Oklahoma, where previous ground‐motion studies have indicated discrepancies between observations and ground‐motion models (GMMs). The inversion is constrained by a source spectral model, which we computed from regional seismic records, using aftershocks asA machine learning approach to developing ground motion models from simulated ground motions
We use a machine learning approach to build a ground motion model (GMM) from a synthetic database of ground motions extracted from the Southern California CyberShake study. An artificial neural network is used to find the optimal weights that best fit the target data (without overfitting), with input parameters chosen to match that of state-of-the-art GMMs. We validate our synthetic-based GMM withThe 2019 Ridgecrest, California, earthquake sequence ground motions: Processed records and derived intensity metrics
Following the 2019 Ridgecrest, California, earthquake sequence, we compiled ground‐motion records from multiple data centers and processed these records using newly developed ground‐motion processing software that performs quality assurance checks, performs standard time series processing steps, and computes a wide range of ground‐motion metrics. In addition, we compute station and waveform metricEvaluation 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 tectoniEvaluation 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 anThe 2018 update of the US National Seismic Hazard Model: Overview of model and implications
During 2017–2018, the National Seismic Hazard Model for the conterminous United States was updated as follows: (1) an updated seismicity catalog was incorporated, which includes new earthquakes that occurred from 2013 to 2017; (2) in the central and eastern United States (CEUS), new ground motion models were updated that incorporate updated median estimates, modified assessments of the associated