Morgan P Moschetti, PhD
Biography
Education
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
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
Publications
https://scholar.google.com/citations?user=spHag1kAAAAJ&hl=en
Science and Products
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">MwMw 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)...
Moschetti, Morgan P.; Churchwell, David Henry; Thompson, Eric M.; Rekoske, John; Wolin, Emily; Boyd, Oliver S. 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)....
Rezaeian, Sanaz; Powers, Peter M.; Shumway, Allison; Petersen, Mark D.; Luco, Nicolas; Frankel, Arthur; Moschetti, Morgan P.; Thompson, Eric M.; McNamara, Daniel 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...
Boschelli, Joshua Dakota; Moschetti, Morgan P.; Sens-Schonfelder, C 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...
Moschetti, Morgan P.; Hartzell, Stephen H. 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...
Withers, Kyle; Moschetti, Morgan P.; Thompson, Eric M. 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....
Rekoske, John; Thompson, Eric M.; Moschetti, Morgan P.; Hearne, Mike; Aagaard, Brad T.; Parker, Grace Alexandra 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...
McNamara, Daniel E.; Wolin, Emily; Powers, Peter M.; Shumway, Allison; Moschetti, Morgan P.; Rekoske, John; Thompson, Eric M.; Mueller, Charles; Petersen, Mark D. 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">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...
McNamara, Daniel E.; Wolin, Emily; Powers, Peter M.; Shumway, Allison; Moschetti, Morgan P.; Rekoske, John; Thompson, Eric M.; Mueller, Charles; Petersen, Mark D. Ground-motion amplification in Cook Inlet region, Alaska from intermediate-depth earthquakes, including the 2018 MW=7.1 Anchorage earthquake
We measure pseudospectral and peak ground motions from 44 intermediate‐depth Mw≥4.9">Mw≥4.9 earthquakes in the Cook Inlet region of southern Alaska, including those from the 2018 Mw">Mw 7.1 earthquake near Anchorage, to identify regional amplification features (0.1–5  s">0.1...
Moschetti, Morgan P.; Thompson, Eric M.; Rekoske, John; Hearne, Mike; Powers, Peter M.; McNamara, Daniel E.; Tape, Carl 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...
Petersen, Mark D.; Shumway, Allison; Powers, Peter M.; Mueller, Charles; Moschetti, Morgan P.; Frankel, Arthur; Rezaeian, Sanaz; McNamara, Daniel E.; Luco, Nicolas; Boyd, Oliver S.; Rukstales, Kenneth S.; Jaiswal, Kishor; Thompson, Eric M.; Hoover, Susan M.; Clayton, Brandon; Field, Edward H.; Zeng, Yuehua Evaluation of ground motion models for USGS seismic hazard forecasts: Induced and tectonic earthquakes in the Central and Eastern U.S.
Ground motion model (GMM) selection and weighting introduces a significant source of uncertainty in United States Geological Survey (USGS) seismic hazard models. The increase in moderate moment magnitude induced earthquakes (Mw 4 to 5.8) in Oklahoma and Kansas since 2009, due to increased wastewater injection related to oil and gas production (...
McNamara, Daniel E.; Petersen, Mark D.; Thompson, Eric M.; Powers, Peter M.; Shumway, Allison; Hoover, Susan M.; Moschetti, Morgan P.; Wolin, Emily Rupture model of the M5.8 Pawnee, Oklahoma earthquake from regional and teleseismic waveforms
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...
Moschetti, Morgan P.; Hartzell, Stephen H.; Herrmann, R. B.