Eric M Thompson
Eric Thompson is a research geophysicist with the USGS in Golden. He joined the USGS in 2015 where he participates in research, development, and operations of many earthquake hazard products, including near-real-time earthquake hazard products.
Professional Experience
5/2015-Present: Research Geophysicist, USGS, Golden, Colorado.
4/2013-4/2015: Adjunct Professor, Geological Sciences, San Diego State University.
1/2014-3/2015: Lecturer, Department of Civil and Environmental Engineering, University of California, Los Angeles.
9/2010-9/2013: Research Assistant Professor, Civil and Environmental Engineering, Tufts University.
3/2009-8/2010: Postdoctoral Researcher/Lecturer, Civil and Environmental Engineering, Tufts University.
Education and Certifications
2009 Ph.D., Tufts University, Civil and Environmental Engineering.
2002 B.S., University of California at Santa Cruz, Earth Science.
Honors and Awards
2022: Superior Service Award for activities in the planning and development of ground motion processing software named gmprocess.
2019: FEMA Certificate of Appreciation for outstanding contributions in support of national level earthquake exercise.
2018: Western States Seismic Policy Council (WSSPC) Award for Excellence Use of Technology for developing the ShakeMap Scenario Suite.
Science and Products
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.
An Interactive Web-based Application for Earthquake-triggered Ground Failure Inventories
Inventories of landslides and liquefaction triggered by major earthquakes are key research tools that can be used to develop and test hazard models. To eliminate redundant effort, we created a centralized and interactive repository of ground failure inventories that currently hosts 32 inventories generated by USGS and non-USGS authors and designed a pipeline for adding more as they become availabl
Filter Total Items: 18
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
An Updated Vs30 Map for California with Geologic and Topographic Constraints
This data release provides a map of the time-averaged shear-wave velocity in the upper 30 m (Vs30) for California using the method described by Thompson and others (2014). There are two adjustments to the algorithm described by Thompson and others (2014), which is built on the geology-based Vs30 map by Wills and Clahan (2006). In this data release, we use the Wills and others (2015) updated geolog
Earthquake triggered ground failure associated with the M7.1 2018 southcentral Alaska Earthquake (ver. 2.0, December 2023)
The November 30, 2018, magnitude (Mw) 7.1 Anchorage, Alaska earthquake triggered substantial ground failure throughout Anchorage and surrounding areas (Grant et al., 2020; Jibson et al., 2020). The earthquake was an intraslab event with a focal depth of about 47 km and an epicenter about 16 km north of the city of Anchorage. Peak ground accelerations reached ∼30% g. Despite the relatively low seve
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
Inventory of liquefaction features triggered by the 7 January 2020 M6.4 Puerto Rico earthquake
This dataset consists of an inventory of the locations of liquefaction-related phenomena triggered by the 7 January 2020 M6.4 Puerto Rico earthquake. The inventory is primarily based on field observations collected during post-earthquake reconnaissance conducted by the USGS and partners (Allstadt and others, 2020, Interactive Dashboard). Some additional locations were added based on reconnaissance
Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake
These data present geolocated photographs, GPS tracks, and field-mapped ground failures collected during the USGS reconnaissance of ground failures following the 2018 M7.1 Anchorage Earthquake.
Initial Observations of Landslides triggered by the 2018 Anchorage, Alaska earthquake
This data release provides the locations of 43 landslides that occurred during the 2018 Anchorage, Alaska earthquake mapped from high-resolution lidar (1-m). Lidar data can be accessed via the Alaska Division of Geological and Geophysical Surveys elevation portal (https://elevation.alaska.gov). Each landslide is represented as a point corresponding to the approximate location of the mid-point of t
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
Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence
This dataset consists of over 800 field observations of ground failure (landslides, lateral spreading, and liquefaction) and other damage triggered by the 2019-2020 Puerto Rico earthquake sequence. The sequence started with a M4.7 earthquake on 28 December 2019, followed by many more earthquakes, including 15 larger than M5 (as of 7 July 2020). The M6.4 mainshock, which is thought to have triggere
Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence
Here we present an inventory of remotely and field-observed landslides triggered by 2019-2020 Puerto Rico earthquake sequence. The inventory was mapped using pre- and post-event satellite imagery (PR_landslide_inventory_imagery.csv), an extensive collection of field observations (https://doi.org/10.5066/P96QNFMB) and using pre-earthquake lidar as guidance for mapping polygons with more precise loc
A Global Hybrid Vs30 Map with a Topographic-Slope-Based Default and Regional Map Insets
Time-averaged shear wave velocity over the upper 30 meters of the earth's surface (Vs30) is a key parameter for estimating ground motion amplification as both a predictive and diagnostic tool for earthquake hazards. A first-order approximation of Vs30 is commonly obtained via a topographic slope-based or terrain proxy due to the widely available nature of digital elevation models. However, better-
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.
Filter Total Items: 77
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 M. Rathje
The influence of anthropogenic regulation and evaporite dissolution on earthquake-triggered ground failure
Remote sensing observations of Searles Lake following the 2019 moment magnitude 7.1 Ridgecrest, California, earthquake reveal an area where surface ejecta is arranged in a repeating hexagonal pattern that is collocated with a solution-mining operation. By analyzing geologic and geotechnical data, here we show that the hexagonal surface ejecta is likely not a result of liquefaction. Instead, we pro
Authors
Paula Madeline Burgi, Eric M. Thompson, Kate E. Allstadt, Kyle Dennis Murray, Henry (Ben) Mason, Sean Kamran Ahdi, Devin Katzenstein
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 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
Rapid characterization of the February 2023 Kahramanmaraş, Turkey, earthquake sequence
The 6 February 2023 Mw 7.8 Pazarcık and subsequent Mw 7.5 Elbistan earthquakes generated strong ground shaking that resulted in catastrophic human and economic loss across south‐central Türkiye and northwest Syria. The rapid characterization of the earthquakes, including their location, size, fault geometries, and slip kinematics, is critical to estimate the impact of significant seismic events.
Authors
Dara Elyse Goldberg, Tuncay Taymaz, Nadine G. Reitman, Alexandra Elise Hatem, Seda Yolsal-Çevikbilen, William D. Barnhart, Tahir Serkan Irmak, David J. Wald, Taylan Öcalan, William L. Yeck, Berkan Özkan, Jessica Ann Thompson Jobe, David R. Shelly, Eric M. Thompson, Christopher DuRoss, Paul S. Earle, Richard W. Briggs, Harley M. Benz, Ceyhun Erman, Ali Hasan Doğan, Cemali Altuntaş
High-pass corner frequency selection for implementation in the USGS automated ground motion processing tool
Earthquake ground motion processing for next-generation attenuation (NGA) projects required human inspection to select high-pass corner frequencies (fcHP), which is time-intensive and subjective. With growth in the number of recordings per event and interest in enhancing repeatability, we sought to develop automated procedures for fcHP selection. These procedures consider signal-to-noise ratio (SN
Authors
María E. Ramos-Sepulveda, Grace Alexandra Parker, Eric M. Thompson, Scott J. Brandenberg, Meibai Li, Okan Ilhan, Youssef M.A. Hashash, Ellen M. Rathje, Jonathan P. Stewart
Applying consequence-driven scenario selection to lifelines
We present a new consequence-driven framework for earthquake scenario selection. For emergency managers, utility operators, policy makers, and other stakeholders, a scenario-based seismic risk assessment is often necessary for the purpose of emergency management and planning. In developing a scientifically defensible scenario, stakeholders can simulate a realistic event in order to pre-identify vu
Authors
Yolanda C Lin, David J. Wald, Eric M. Thompson, David Lallemant
Spatially continuous models of aleatory variability in seismic site response for southern California
We develop an empirical, spatially continuous model for the single-station within-event (ϕSS) component of earthquake ground motion variability in the Los Angeles area. ϕSS represents event-to-event variability in site response or remaining variability due to path effects not captured by ground motion models. Site-specific values of ϕSS at permanent seismic network stations were estimated during o
Authors
Grace Alexandra Parker, Annemarie S. Baltay, Eric M. Thompson
Earthquake scenario selection for portfolio holders in CEUS: A case study with Oklahoma DOT
Portfolio managers of spatially distributed assets in the central and eastern United States (CEUS) and other low- to moderate seismic hazard regions require scenario-based seismic risk assessment for the purpose of emergency management and planning. Uncertainties regarding the long-term seismicity of the region, unknown faults, and limited historical records complicate the selection of an earthqua
Authors
Yolanda C Lin, L. L. Rotche, Kuo-wan Lin, Eric M. Thompson, David Lallemant, W. Peters, David J. Wald
Sediment thickness and ground motion site amplification along the United States Atlantic and Gulf Coastal Plains
Past and present research on earthquake ground motions along the Atlantic and Gulf Coastal Plains and Mississippi Embayment show significant period-dependent site response that is not presently accounted for in ground motion models. These deviations are strongly correlated with the thickness of Mesozoic and younger syn- and post-rift sediments. With the recent incorporation of deep basin depth mea
Authors
Oliver S. Boyd, David Henry Churchwell, Morgan P. Moschetti, Eric M. Thompson, Thomas L. Pratt, Martin C. Chapman, Sanaz Rezaeian
Improving the Development Pipelines for USGS Earthquake Hazards Program Real-Time and Scenario Products
The real-time and scenario products of the U.S. Geological Survey (USGS) Earthquake Hazards Program, such as the ComCat catalog, Did You Feel It?, ShakeMap, ShakeCast, and PAGER, are highly visible and used by a wide variety of stakeholders. We propose two significant enhancements to the development pipelines for the Earthquake Hazards Program real-time and scenario products that have far-reaching
Authors
Brad T. Aagaard, David J. Wald, Eric M. Thompson, Mike Hearne, Lisa Sue Schleicher
Non-USGS Publications**
Thompson, E.M., Baise, L.G., Tanaka, Y. and Kayen, R.E., 2012. A taxonomy of site response complexity. Soil Dynamics and Earthquake Engineering, 41, pp.32-43.
Boore, D.M. and Thompson, E.M., 2012. Empirical improvements for estimating earthquake response spectra with random‐vibration theory. Bulletin of the Seismological Society of America, 102(2), pp.761-772.
Kaklamanos, J., Bradley, B.A., Thompson, E.M. and Baise, L.G., 2013. Critical parameters affecting bias and variability in site‐response analyses using KiK‐net downhole array data. Bulletin of the Seismological Society of America, 103(3), pp.1733-1749.
Kaklamanos, J., Baise, L.G., Thompson, E.M. and Dorfmann, L., 2015. Comparison of 1D linear, equivalent-linear, and nonlinear site response models at six KiK-net validation sites. Soil Dynamics and Earthquake Engineering, 69, pp.207-219.
Moss, R.E., Thompson, E.M., Kieffer, D.S., Tiwari, B., Hashash, Y.M., Acharya, I., Adhikari, B.R., Asimaki, D., Clahan, K.B., Collins, B.D. and Dahal, S., 2015. Geotechnical effects of the 2015 magnitude 7.8 Gorkha, Nepal, earthquake and aftershocks. Seismological Research Letters, 86(6), pp.1514-1523.
Thompson, E.M., Baise, L.G. and Vogel, R.M., 2007. A global index earthquake approach to probabilistic assessment of extremes. Journal of Geophysical Research: Solid Earth, 112(B6).
Zhu, J., Daley, D., Baise, L.G., Thompson, E.M., Wald, D.J. and Knudsen, K.L., 2015. A geospatial liquefaction model for rapid response and loss estimation. Earthquake Spectra, 31(3), pp.1813-1837.
Thompson, E.M., Hewlett, J.B., Baise, L.G. and Vogel, R.M., 2011. The Gumbel hypothesis test for left censored observations using regional earthquake records as an example. Natural Hazards and Earth System Sciences, 11(1), pp.115-126.
Baise, L.G., Lenz, J.A. and Thompson, E.M., 2008. Discussion of “Mapping liquefaction potential considering spatial correlations of CPT measurements” by Chia-Nan Liu and Chien-Hsun Chen. Journal of geotechnical and geoenvironmental engineering, 134(2), pp.262-263.
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
gfail_lifelines
gfail_lifelines is a package for estimating lifeline impacts caused by earthquake-triggered ground failure. It currently contains one module, gfroads, that combines the USGS earthquake-triggered landslide model (the Nowicki Jessee et al. 2017 model) estimates of areal coverage with Open Street Map roads to estimate the probability of a given road segment being affected.
USGS automated ground motion processing software
The goal of this project is to update, restructure, and consolidate existing USGS ground-motion processing software to incorporate recent advances from researchers at the USGS, PEER, and others. It will standardize tools for multiple USGS ground-motion products and enable scientists within the USGS and the external community to develop and expand ground-motion datasets used in many different appli
PS2FF
Produce approximated finite fault distances and variance corrections given point source information, for example, Repi (epcentral distance) to Rjb (Joyner-Boore distance) or Rrup (closest distance to rupture).
ShakeMap v4 Software
ShakeMap v4 Software and Documentation
groundfailure
This software is for calculating earthquake-induced ground failure hazard (i.e., landslide and liquefaction). These models are intended for regional or global scale applications, and are intended to be distributed in near-real-time, triggered by the Shakemaps.
Point-source to finite-fault distance conversions
Produce approximated finite fault distances and variance corrections given point source information, e.g., Repi (epcentral distance) to Rrup (rupture distance).
Science and Products
- Science
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.An Interactive Web-based Application for Earthquake-triggered Ground Failure Inventories
Inventories of landslides and liquefaction triggered by major earthquakes are key research tools that can be used to develop and test hazard models. To eliminate redundant effort, we created a centralized and interactive repository of ground failure inventories that currently hosts 32 inventories generated by USGS and non-USGS authors and designed a pipeline for adding more as they become availabl - Data
Filter Total Items: 18
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 theAn Updated Vs30 Map for California with Geologic and Topographic Constraints
This data release provides a map of the time-averaged shear-wave velocity in the upper 30 m (Vs30) for California using the method described by Thompson and others (2014). There are two adjustments to the algorithm described by Thompson and others (2014), which is built on the geology-based Vs30 map by Wills and Clahan (2006). In this data release, we use the Wills and others (2015) updated geologEarthquake triggered ground failure associated with the M7.1 2018 southcentral Alaska Earthquake (ver. 2.0, December 2023)
The November 30, 2018, magnitude (Mw) 7.1 Anchorage, Alaska earthquake triggered substantial ground failure throughout Anchorage and surrounding areas (Grant et al., 2020; Jibson et al., 2020). The earthquake was an intraslab event with a focal depth of about 47 km and an epicenter about 16 km north of the city of Anchorage. Peak ground accelerations reached ∼30% g. Despite the relatively low seveDatabase 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 NorInventory of liquefaction features triggered by the 7 January 2020 M6.4 Puerto Rico earthquake
This dataset consists of an inventory of the locations of liquefaction-related phenomena triggered by the 7 January 2020 M6.4 Puerto Rico earthquake. The inventory is primarily based on field observations collected during post-earthquake reconnaissance conducted by the USGS and partners (Allstadt and others, 2020, Interactive Dashboard). Some additional locations were added based on reconnaissanceField reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake
These data present geolocated photographs, GPS tracks, and field-mapped ground failures collected during the USGS reconnaissance of ground failures following the 2018 M7.1 Anchorage Earthquake.Initial Observations of Landslides triggered by the 2018 Anchorage, Alaska earthquake
This data release provides the locations of 43 landslides that occurred during the 2018 Anchorage, Alaska earthquake mapped from high-resolution lidar (1-m). Lidar data can be accessed via the Alaska Division of Geological and Geophysical Surveys elevation portal (https://elevation.alaska.gov). Each landslide is represented as a point corresponding to the approximate location of the mid-point of tGround 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. AField observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence
This dataset consists of over 800 field observations of ground failure (landslides, lateral spreading, and liquefaction) and other damage triggered by the 2019-2020 Puerto Rico earthquake sequence. The sequence started with a M4.7 earthquake on 28 December 2019, followed by many more earthquakes, including 15 larger than M5 (as of 7 July 2020). The M6.4 mainshock, which is thought to have triggereInventory of landslides triggered by the 2020 Puerto Rico earthquake sequence
Here we present an inventory of remotely and field-observed landslides triggered by 2019-2020 Puerto Rico earthquake sequence. The inventory was mapped using pre- and post-event satellite imagery (PR_landslide_inventory_imagery.csv), an extensive collection of field observations (https://doi.org/10.5066/P96QNFMB) and using pre-earthquake lidar as guidance for mapping polygons with more precise locA Global Hybrid Vs30 Map with a Topographic-Slope-Based Default and Regional Map Insets
Time-averaged shear wave velocity over the upper 30 meters of the earth's surface (Vs30) is a key parameter for estimating ground motion amplification as both a predictive and diagnostic tool for earthquake hazards. A first-order approximation of Vs30 is commonly obtained via a topographic slope-based or terrain proxy due to the widely available nature of digital elevation models. However, better-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. - Publications
Filter Total Items: 77
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 uppeAuthorsMaria E. Ramos-Sepulveda, Jonathan P. Stewart, Grace Alexandra Parker, Morgan P. Moschetti, Eric M. Thompson, Scott J. Brandenberg, Youssef M A Hashash, Ellen M. RathjeThe influence of anthropogenic regulation and evaporite dissolution on earthquake-triggered ground failure
Remote sensing observations of Searles Lake following the 2019 moment magnitude 7.1 Ridgecrest, California, earthquake reveal an area where surface ejecta is arranged in a repeating hexagonal pattern that is collocated with a solution-mining operation. By analyzing geologic and geotechnical data, here we show that the hexagonal surface ejecta is likely not a result of liquefaction. Instead, we proAuthorsPaula Madeline Burgi, Eric M. Thompson, Kate E. Allstadt, Kyle Dennis Murray, Henry (Ben) Mason, Sean Kamran Ahdi, Devin KatzensteinThe 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 increaseAuthorsMark D. Petersen, Allison Shumway, Peter M. Powers, Edward H. Field, Morgan P. Moschetti, Kishor 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. WitterSediment 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 analAuthorsOliver S. Boyd, David Churchwell, Morgan P. Moschetti, Eric M. Thompson, Martin C. Chapman, Okan Ilhan, Thomas L. Pratt, Sean Kamran Ahdi, Sanaz RezaeianGround‐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 siAuthorsGrace Alexandra Parker, Morgan P. Moschetti, Eric M. ThompsonRapid characterization of the February 2023 Kahramanmaraş, Turkey, earthquake sequence
The 6 February 2023 Mw 7.8 Pazarcık and subsequent Mw 7.5 Elbistan earthquakes generated strong ground shaking that resulted in catastrophic human and economic loss across south‐central Türkiye and northwest Syria. The rapid characterization of the earthquakes, including their location, size, fault geometries, and slip kinematics, is critical to estimate the impact of significant seismic events.AuthorsDara Elyse Goldberg, Tuncay Taymaz, Nadine G. Reitman, Alexandra Elise Hatem, Seda Yolsal-Çevikbilen, William D. Barnhart, Tahir Serkan Irmak, David J. Wald, Taylan Öcalan, William L. Yeck, Berkan Özkan, Jessica Ann Thompson Jobe, David R. Shelly, Eric M. Thompson, Christopher DuRoss, Paul S. Earle, Richard W. Briggs, Harley M. Benz, Ceyhun Erman, Ali Hasan Doğan, Cemali AltuntaşHigh-pass corner frequency selection for implementation in the USGS automated ground motion processing tool
Earthquake ground motion processing for next-generation attenuation (NGA) projects required human inspection to select high-pass corner frequencies (fcHP), which is time-intensive and subjective. With growth in the number of recordings per event and interest in enhancing repeatability, we sought to develop automated procedures for fcHP selection. These procedures consider signal-to-noise ratio (SNAuthorsMaría E. Ramos-Sepulveda, Grace Alexandra Parker, Eric M. Thompson, Scott J. Brandenberg, Meibai Li, Okan Ilhan, Youssef M.A. Hashash, Ellen M. Rathje, Jonathan P. StewartApplying consequence-driven scenario selection to lifelines
We present a new consequence-driven framework for earthquake scenario selection. For emergency managers, utility operators, policy makers, and other stakeholders, a scenario-based seismic risk assessment is often necessary for the purpose of emergency management and planning. In developing a scientifically defensible scenario, stakeholders can simulate a realistic event in order to pre-identify vuAuthorsYolanda C Lin, David J. Wald, Eric M. Thompson, David LallemantSpatially continuous models of aleatory variability in seismic site response for southern California
We develop an empirical, spatially continuous model for the single-station within-event (ϕSS) component of earthquake ground motion variability in the Los Angeles area. ϕSS represents event-to-event variability in site response or remaining variability due to path effects not captured by ground motion models. Site-specific values of ϕSS at permanent seismic network stations were estimated during oAuthorsGrace Alexandra Parker, Annemarie S. Baltay, Eric M. ThompsonEarthquake scenario selection for portfolio holders in CEUS: A case study with Oklahoma DOT
Portfolio managers of spatially distributed assets in the central and eastern United States (CEUS) and other low- to moderate seismic hazard regions require scenario-based seismic risk assessment for the purpose of emergency management and planning. Uncertainties regarding the long-term seismicity of the region, unknown faults, and limited historical records complicate the selection of an earthquaAuthorsYolanda C Lin, L. L. Rotche, Kuo-wan Lin, Eric M. Thompson, David Lallemant, W. Peters, David J. WaldSediment thickness and ground motion site amplification along the United States Atlantic and Gulf Coastal Plains
Past and present research on earthquake ground motions along the Atlantic and Gulf Coastal Plains and Mississippi Embayment show significant period-dependent site response that is not presently accounted for in ground motion models. These deviations are strongly correlated with the thickness of Mesozoic and younger syn- and post-rift sediments. With the recent incorporation of deep basin depth meaAuthorsOliver S. Boyd, David Henry Churchwell, Morgan P. Moschetti, Eric M. Thompson, Thomas L. Pratt, Martin C. Chapman, Sanaz RezaeianImproving the Development Pipelines for USGS Earthquake Hazards Program Real-Time and Scenario Products
The real-time and scenario products of the U.S. Geological Survey (USGS) Earthquake Hazards Program, such as the ComCat catalog, Did You Feel It?, ShakeMap, ShakeCast, and PAGER, are highly visible and used by a wide variety of stakeholders. We propose two significant enhancements to the development pipelines for the Earthquake Hazards Program real-time and scenario products that have far-reachingAuthorsBrad T. Aagaard, David J. Wald, Eric M. Thompson, Mike Hearne, Lisa Sue SchleicherNon-USGS Publications**
Thompson, E.M., Baise, L.G., Tanaka, Y. and Kayen, R.E., 2012. A taxonomy of site response complexity. Soil Dynamics and Earthquake Engineering, 41, pp.32-43.Boore, D.M. and Thompson, E.M., 2012. Empirical improvements for estimating earthquake response spectra with random‐vibration theory. Bulletin of the Seismological Society of America, 102(2), pp.761-772.Kaklamanos, J., Bradley, B.A., Thompson, E.M. and Baise, L.G., 2013. Critical parameters affecting bias and variability in site‐response analyses using KiK‐net downhole array data. Bulletin of the Seismological Society of America, 103(3), pp.1733-1749.Kaklamanos, J., Baise, L.G., Thompson, E.M. and Dorfmann, L., 2015. Comparison of 1D linear, equivalent-linear, and nonlinear site response models at six KiK-net validation sites. Soil Dynamics and Earthquake Engineering, 69, pp.207-219.Moss, R.E., Thompson, E.M., Kieffer, D.S., Tiwari, B., Hashash, Y.M., Acharya, I., Adhikari, B.R., Asimaki, D., Clahan, K.B., Collins, B.D. and Dahal, S., 2015. Geotechnical effects of the 2015 magnitude 7.8 Gorkha, Nepal, earthquake and aftershocks. Seismological Research Letters, 86(6), pp.1514-1523.Thompson, E.M., Baise, L.G. and Vogel, R.M., 2007. A global index earthquake approach to probabilistic assessment of extremes. Journal of Geophysical Research: Solid Earth, 112(B6).Zhu, J., Daley, D., Baise, L.G., Thompson, E.M., Wald, D.J. and Knudsen, K.L., 2015. A geospatial liquefaction model for rapid response and loss estimation. Earthquake Spectra, 31(3), pp.1813-1837.Thompson, E.M., Hewlett, J.B., Baise, L.G. and Vogel, R.M., 2011. The Gumbel hypothesis test for left censored observations using regional earthquake records as an example. Natural Hazards and Earth System Sciences, 11(1), pp.115-126.Baise, L.G., Lenz, J.A. and Thompson, E.M., 2008. Discussion of “Mapping liquefaction potential considering spatial correlations of CPT measurements” by Chia-Nan Liu and Chien-Hsun Chen. Journal of geotechnical and geoenvironmental engineering, 134(2), pp.262-263.**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
- Software
gfail_lifelines
gfail_lifelines is a package for estimating lifeline impacts caused by earthquake-triggered ground failure. It currently contains one module, gfroads, that combines the USGS earthquake-triggered landslide model (the Nowicki Jessee et al. 2017 model) estimates of areal coverage with Open Street Map roads to estimate the probability of a given road segment being affected.USGS automated ground motion processing software
The goal of this project is to update, restructure, and consolidate existing USGS ground-motion processing software to incorporate recent advances from researchers at the USGS, PEER, and others. It will standardize tools for multiple USGS ground-motion products and enable scientists within the USGS and the external community to develop and expand ground-motion datasets used in many different appliPS2FF
Produce approximated finite fault distances and variance corrections given point source information, for example, Repi (epcentral distance) to Rjb (Joyner-Boore distance) or Rrup (closest distance to rupture).
ShakeMap v4 Software
ShakeMap v4 Software and Documentationgroundfailure
This software is for calculating earthquake-induced ground failure hazard (i.e., landslide and liquefaction). These models are intended for regional or global scale applications, and are intended to be distributed in near-real-time, triggered by the Shakemaps.Point-source to finite-fault distance conversions
Produce approximated finite fault distances and variance corrections given point source information, e.g., Repi (epcentral distance) to Rrup (rupture distance).