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...
Filter Total Items: 19
Earthquake-Triggered Ground Failure associated with the M9.2 1964 Great Alaska Earthquake Earthquake-Triggered Ground Failure associated with the M9.2 1964 Great Alaska Earthquake
The M9.2 1964 Great Alaska earthquake is the second-largest earthquake in the historical record, the largest in North America, and involved nearly five minutes of shaking (Brocher and others, 2014). The earthquake initiated in the Alaska-Aleutian subduction zone, about 12 km below northern Prince William Sound. The rupture length was about 700 km and generated deep and shallow...
Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview 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...
An Updated Vs30 Map for California with Geologic and Topographic Constraints 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)...
Earthquake triggered ground failure associated with the M7.1 2018 southcentral Alaska Earthquake (ver. 2.0, December 2023) 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...
Database of horizontal component Fourier amplitude spectra of acceleration ground motions from Pacific Northwest earthquakes 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...
Inventory of liquefaction features triggered by the 7 January 2020 M6.4 Puerto Rico earthquake 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...
Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake 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 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...
Ground motion Fourier and response spectra from Utah earthquakes, 2010--2020 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...
Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence 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...
Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence 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...
A Global Hybrid Vs30 Map with a Topographic-Slope-Based Default and Regional Map Insets 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...
Filter Total Items: 89
International data gaps at the Center for Engineering Strong Motion Data International data gaps at the Center for Engineering Strong Motion Data
The Center for Engineering Strong Motion Data (CESMD) is utilized by seismologists, engineers, and disaster management professionals in the US and has historically achieved and distributed waveforms from across the globe for significant earthquakes. The increased access to the waveforms via Web API (Application Programming Interface) offers a unique opportunity to provide the community...
Authors
Han Shao, Jeff Brody, Lisa Sue Schleicher, Kristin Marano, Jamison Haase Steidl, Eric M. Thompson, Mike Hearne, James Luke Blair
Automated, near real-time ground-motion processing at the U.S. Geological Survey Automated, near real-time ground-motion processing at the U.S. Geological Survey
We describe automated ground‐motion processing software named gmprocess that has been developed at the U.S. Geological Survey (USGS) in support of near‐real‐time earthquake hazard products. Because of the open‐source development process, this software has benefitted from the involvement and contributions of a broad community and has been used for a wider range of applications than was...
Authors
Eric M. Thompson, Mike Hearne, Brad T. Aagaard, J.M. Rekoske, Charles Worden, Morgan P. Moschetti, Heather Elizabeth Hunsinger, Gabe C. Ferragut, Grace Alexandra Parker, James Andrew Smith, Kyle Ken Smith, Albert R. Kottke
Editorial: Enabling people-centered risk communication for geohazards Editorial: Enabling people-centered risk communication for geohazards
In the field of natural hazards, communicating science with the public and stakeholders (i.e., interested parties) involves entering the challenging and complex world of hazard and risk communication, the ultimate purpose of which is to reduce the impact of impending hazards on people and property at risk. Hazard and risk communication are adequate if they reach people with the...
Authors
Alessandro Amato, Sally H. Potter, Anna Scolobig, Eric M. Thompson
Comparing subduction ground-motion models to observations for Cascadia Comparing subduction ground-motion models to observations for Cascadia
We evaluate Cascadia subduction ground-motion models (GMMs), considered for the 2023 US National Seismic Hazard Model (NSHM) update, by comparing observations to model predictions. The observations comprise regional recordings from intraslab earthquakes, including contributions from 2021 and 2022 events in southern Cascadia and global records from interface earthquakes. Since the 2018...
Authors
James Andrew Smith, Morgan P. Moschetti, Eric M. Thompson
Earthquake-triggered ground-failure inventory associated with the M7.1 2018 Southcentral Alaska earthquake Earthquake-triggered ground-failure inventory associated with the M7.1 2018 Southcentral Alaska earthquake
The 30 November 2018, magnitude (Mw) 7.1 earthquake in Southcentral Alaska triggered substantial landslides, liquefaction, and ground cracking throughout the region, resulting in widespread geotechnical damage to buildings and infrastructure. Despite a challenging reconnaissance and remote-sensing environment, we constructed a detailed digital inventory of ground failure associated with...
Authors
Sabrina N. Martinez, Kate E. Allstadt, Eric M. Thompson, Sonia Ellison, Lauren N. Schaefer, Kelli W. Baxstrom
Basin effects from 3D simulated ground motions in the Greater Los Angeles region for use in seismic-hazard analyses 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...
Authors
Morgan P. Moschetti, Eric M. Thompson, Kyle Withers
Integration of rupture directivity models for the US National Seismic Hazard Model Integration of rupture directivity models for the US National Seismic Hazard Model
Several rupture directivity models (DMs) have been developed in recent years to describe the near-source spatial variations in ground motion amplitudes related to propagation of rupture along the fault. We recently organized an effort towards incorporating these directivity effects into the USGS National Seismic Hazard Model (NSHM), by first evaluating the community's work and potential...
Authors
Kyle Withers, Morgan P. Moschetti, Peter M. Powers, Mark D. Petersen, Robert Graves, Brad T. Aagaard, Annemarie S. Baltay Sundstrom, Nicolas Luco, Erin Wirth, Sanaz Rezaeian, Eric M. Thompson
Data-driven adjustments for combined use of NGA-East hard-rock ground motion and site amplification models 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...
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
The influence of anthropogenic regulation and evaporite dissolution on earthquake-triggered ground failure 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...
Authors
Paula Madeline Burgi, Eric M. Thompson, Kate E. Allstadt, Kyle Dennis Murray, Henry (Ben) Mason, Sean Kamran Ahdi, Devin Katzenstein
The 2023 US National Seismic Hazard Model: Ground-motion characterization for the conterminous United States The 2023 US National Seismic Hazard Model: Ground-motion characterization for the conterminous United States
We update the ground-motion characterization for the 2023 National Seismic Hazard Model (NSHM) for the conterminous United States. The update includes the use of new ground-motion models (GMMs) in the Cascadia subduction zone; an adjustment to the central and eastern United States (CEUS) GMMs to reduce misfits with observed data; an updated boundary for the application of GMMs for...
Authors
Morgan P. Moschetti, Brad T. Aagaard, Sean Kamran Ahdi, Jason M. Altekruse, Oliver S. Boyd, Arthur Frankel, Julie A. Herrick, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian, Allison Shumway, James Andrew Smith, William J. Stephenson, Eric M. Thompson, Kyle Withers
The 2023 US 50-State National Seismic Hazard Model: Overview and implications 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...
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Ned Field, Morgan P. Moschetti, Kishor S. Jaiswal, Kevin R. Milner, Sanaz Rezaeian, Arthur Frankel, Andrea L. Llenos, Andrew J. Michael, Jason M. Altekruse, Sean K. 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 L. 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 A. Kortum, N. Simon Kwong, Andrew J. Makdisi, Henry (Ben) Mason, Daniel McNamara, Devin McPhillips, P. Okubo, Morgan T. Page, Frederick 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 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...
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
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
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 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...
PS2FF 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
ShakeMap v4 Software and Documentation
groundfailure 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 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
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...
Filter Total Items: 19
Earthquake-Triggered Ground Failure associated with the M9.2 1964 Great Alaska Earthquake Earthquake-Triggered Ground Failure associated with the M9.2 1964 Great Alaska Earthquake
The M9.2 1964 Great Alaska earthquake is the second-largest earthquake in the historical record, the largest in North America, and involved nearly five minutes of shaking (Brocher and others, 2014). The earthquake initiated in the Alaska-Aleutian subduction zone, about 12 km below northern Prince William Sound. The rupture length was about 700 km and generated deep and shallow...
Data Release for the 2023 U.S. 50-State National Seismic Hazard Model - Overview 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...
An Updated Vs30 Map for California with Geologic and Topographic Constraints 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)...
Earthquake triggered ground failure associated with the M7.1 2018 southcentral Alaska Earthquake (ver. 2.0, December 2023) 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...
Database of horizontal component Fourier amplitude spectra of acceleration ground motions from Pacific Northwest earthquakes 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...
Inventory of liquefaction features triggered by the 7 January 2020 M6.4 Puerto Rico earthquake 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...
Field reconnaissance of ground failure triggered by shaking during the 2018 M7.1 Anchorage, Alaska, earthquake 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 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...
Ground motion Fourier and response spectra from Utah earthquakes, 2010--2020 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...
Field observations of ground failure triggered by the 2020 Puerto Rico earthquake sequence 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...
Inventory of landslides triggered by the 2020 Puerto Rico earthquake sequence 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...
A Global Hybrid Vs30 Map with a Topographic-Slope-Based Default and Regional Map Insets 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...
Filter Total Items: 89
International data gaps at the Center for Engineering Strong Motion Data International data gaps at the Center for Engineering Strong Motion Data
The Center for Engineering Strong Motion Data (CESMD) is utilized by seismologists, engineers, and disaster management professionals in the US and has historically achieved and distributed waveforms from across the globe for significant earthquakes. The increased access to the waveforms via Web API (Application Programming Interface) offers a unique opportunity to provide the community...
Authors
Han Shao, Jeff Brody, Lisa Sue Schleicher, Kristin Marano, Jamison Haase Steidl, Eric M. Thompson, Mike Hearne, James Luke Blair
Automated, near real-time ground-motion processing at the U.S. Geological Survey Automated, near real-time ground-motion processing at the U.S. Geological Survey
We describe automated ground‐motion processing software named gmprocess that has been developed at the U.S. Geological Survey (USGS) in support of near‐real‐time earthquake hazard products. Because of the open‐source development process, this software has benefitted from the involvement and contributions of a broad community and has been used for a wider range of applications than was...
Authors
Eric M. Thompson, Mike Hearne, Brad T. Aagaard, J.M. Rekoske, Charles Worden, Morgan P. Moschetti, Heather Elizabeth Hunsinger, Gabe C. Ferragut, Grace Alexandra Parker, James Andrew Smith, Kyle Ken Smith, Albert R. Kottke
Editorial: Enabling people-centered risk communication for geohazards Editorial: Enabling people-centered risk communication for geohazards
In the field of natural hazards, communicating science with the public and stakeholders (i.e., interested parties) involves entering the challenging and complex world of hazard and risk communication, the ultimate purpose of which is to reduce the impact of impending hazards on people and property at risk. Hazard and risk communication are adequate if they reach people with the...
Authors
Alessandro Amato, Sally H. Potter, Anna Scolobig, Eric M. Thompson
Comparing subduction ground-motion models to observations for Cascadia Comparing subduction ground-motion models to observations for Cascadia
We evaluate Cascadia subduction ground-motion models (GMMs), considered for the 2023 US National Seismic Hazard Model (NSHM) update, by comparing observations to model predictions. The observations comprise regional recordings from intraslab earthquakes, including contributions from 2021 and 2022 events in southern Cascadia and global records from interface earthquakes. Since the 2018...
Authors
James Andrew Smith, Morgan P. Moschetti, Eric M. Thompson
Earthquake-triggered ground-failure inventory associated with the M7.1 2018 Southcentral Alaska earthquake Earthquake-triggered ground-failure inventory associated with the M7.1 2018 Southcentral Alaska earthquake
The 30 November 2018, magnitude (Mw) 7.1 earthquake in Southcentral Alaska triggered substantial landslides, liquefaction, and ground cracking throughout the region, resulting in widespread geotechnical damage to buildings and infrastructure. Despite a challenging reconnaissance and remote-sensing environment, we constructed a detailed digital inventory of ground failure associated with...
Authors
Sabrina N. Martinez, Kate E. Allstadt, Eric M. Thompson, Sonia Ellison, Lauren N. Schaefer, Kelli W. Baxstrom
Basin effects from 3D simulated ground motions in the Greater Los Angeles region for use in seismic-hazard analyses 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...
Authors
Morgan P. Moschetti, Eric M. Thompson, Kyle Withers
Integration of rupture directivity models for the US National Seismic Hazard Model Integration of rupture directivity models for the US National Seismic Hazard Model
Several rupture directivity models (DMs) have been developed in recent years to describe the near-source spatial variations in ground motion amplitudes related to propagation of rupture along the fault. We recently organized an effort towards incorporating these directivity effects into the USGS National Seismic Hazard Model (NSHM), by first evaluating the community's work and potential...
Authors
Kyle Withers, Morgan P. Moschetti, Peter M. Powers, Mark D. Petersen, Robert Graves, Brad T. Aagaard, Annemarie S. Baltay Sundstrom, Nicolas Luco, Erin Wirth, Sanaz Rezaeian, Eric M. Thompson
Data-driven adjustments for combined use of NGA-East hard-rock ground motion and site amplification models 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...
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
The influence of anthropogenic regulation and evaporite dissolution on earthquake-triggered ground failure 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...
Authors
Paula Madeline Burgi, Eric M. Thompson, Kate E. Allstadt, Kyle Dennis Murray, Henry (Ben) Mason, Sean Kamran Ahdi, Devin Katzenstein
The 2023 US National Seismic Hazard Model: Ground-motion characterization for the conterminous United States The 2023 US National Seismic Hazard Model: Ground-motion characterization for the conterminous United States
We update the ground-motion characterization for the 2023 National Seismic Hazard Model (NSHM) for the conterminous United States. The update includes the use of new ground-motion models (GMMs) in the Cascadia subduction zone; an adjustment to the central and eastern United States (CEUS) GMMs to reduce misfits with observed data; an updated boundary for the application of GMMs for...
Authors
Morgan P. Moschetti, Brad T. Aagaard, Sean Kamran Ahdi, Jason M. Altekruse, Oliver S. Boyd, Arthur Frankel, Julie A. Herrick, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian, Allison Shumway, James Andrew Smith, William J. Stephenson, Eric M. Thompson, Kyle Withers
The 2023 US 50-State National Seismic Hazard Model: Overview and implications 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...
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Ned Field, Morgan P. Moschetti, Kishor S. Jaiswal, Kevin R. Milner, Sanaz Rezaeian, Arthur Frankel, Andrea L. Llenos, Andrew J. Michael, Jason M. Altekruse, Sean K. 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 L. 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 A. Kortum, N. Simon Kwong, Andrew J. Makdisi, Henry (Ben) Mason, Daniel McNamara, Devin McPhillips, P. Okubo, Morgan T. Page, Frederick 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 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...
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
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
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 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...
PS2FF 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
ShakeMap v4 Software and Documentation
groundfailure 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 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).