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
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. 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. Preliminary 2018 national seismic hazard model for the conterminous United States
The 2014 U.S. Geological Survey national seismic hazard model for the conterminous U.S. will be updated in 2018 and 2020 to coincide with the Building Seismic Safety Council’s Project 17 timeline for development of new building code design criteria. The two closely timed updates are planned to allow more time for the Provisions Update Committee to...
Petersen, Mark D.; Shumway, Allison; Powers, Peter M.; Mueller, Charles; Rezaeian, Sanaz; Moschetti, Morgan P.; McNamara, Daniel E.; Thompson, Eric M.; Boyd, Oliver S.; Luco, Nicolas; Hoover, Susan M.; Rukstales, Kenneth S. Ground motions from induced earthquakes in Oklahoma and Kansas
Improved predictions of earthquake ground motions are critical to advancing seismic hazard analyses and earthquake response. The high seismicity rate from 2009 to 2016 in Oklahoma and Kansas provides an extensive data set for examining the ground motions from these events. We evaluate the ability of three suites of ground‐motion prediction...
Moschetti, Morgan P.; Thompson, Eric M.; Powers, Peter M.; Hoover, Susan M.; McNamara, Daniel E. The science, engineering applications, and policy implications of simulation-based PSHA
We summarize scientific methods for developing probabilistic seismic hazard assessments from 3-D earthquake ground motion simulations, describe current use of simulated ground motions for engineering applications, and discuss on-going efforts to incorporate these effects in the U.S. national seismic hazard model. The 3-D simulations provide...
Moschetti, Morgan P.; Chang, Sandra P.; Crouse, C.B; Frankel, Arthur; Graves, Robert; Puangnak, H; Luco, Nicolas; Goulet, Christine A.; Rezaeian, Sanaz; Shumway, Allison; Powers, Peter M.; Petersen, Mark D.; Callaghan, Scott; Jordan, T.H.; Milner, Kevin R. Ensemble smoothed seismicity models for the new Italian Probabilistic Seismic Hazard Map
We develop a long‐term (a few decades or longer) earthquake rate forecast for Italy based on smoothed seismicity for incorporation in the 2017–2018 Italian Probabilistic Seismic Hazard Maps (IPSHM). Because the earthquake rate models from previous IPSHM were computed using source zones that were drawn around seismicity and tectonic provinces, the...
Akinci, Aybige; Moschetti, Morgan P.; Taroni, Matteo