Brandon S Clayton
Brandon Clayton is a Geophysicist with the Earthquake Hazards Program.
Science and Products
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
Data Release for Additional Period and Site Class Data for the 2018 National Seismic Hazard Model for the Conterminous United States (ver. 1.1, February 2020)
The updated 2018 National Seismic Hazard Model includes new ground motion models, aleatory uncertainty, and soil amplification factors for the central and eastern U.S. and incorporates basin depths from local seismic velocity models in four western U.S. (WUS) urban areas. These additions allow us, for the first time, to calculate probabilistic seismic hazard curves for an expanded set of spectral
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
The 2018 update of the US National Seismic Hazard Model: Where, why, and how much probabilistic ground motion maps changed
The 2018 US Geological Survey National Seismic Hazard Model (NSHM) incorporates new data and updated science to improve the underlying earthquake and ground motion forecasts for the conterminous United States. The NSHM considers many new data and component input models: (1) new earthquakes between 2013 and 2017 and updated earthquake magnitudes for some earlier earthquakes; (2) two updated smoothe
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles S Mueller, Morgan P. Moschetti, Arthur Frankel, Sanaz Rezaeian, Daniel McNamara, Nicolas Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon Clayton, Edward H. Field, Yuehua Zeng
The 2018 update of the US National Seismic Hazard Model: Additional period and site class data
As part of the update of the 2018 National Seismic Hazard Model (NSHM) for the conterminous United States (CONUS), new ground motion and site effect models for the central and eastern United States were incorporated, as well as basin depths from local seismic velocity models in four western US (WUS) urban areas. These additions allow us, for the first time, to calculate probabilistic seismic hazar
Authors
Allison Shumway, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian, Kenneth S. Rukstales, Brandon Clayton
The 2018 update of the US National Seismic Hazard Model: Overview of model and implications
During 2017–2018, the National Seismic Hazard Model for the conterminous United States was updated as follows: (1) an updated seismicity catalog was incorporated, which includes new earthquakes that occurred from 2013 to 2017; (2) in the central and eastern United States (CEUS), new ground motion models were updated that incorporate updated median estimates, modified assessments of the associated
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles Mueller, Morgan P. Moschetti, Arthur Frankel, Sanaz Rezaeian, Daniel E. McNamara, Nicolas Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon Clayton, Edward H. Field, Yuehua Zeng
Estimation of ground motion variability in the CEUS using simulations
We estimate earthquake ground-motion variability in the central and eastern U.S. (CEUS) by varying the model parameters of a deterministic physics-based and a stochastic site-based simulation method. Utilizing a moderate-magnitude database of recordings, we simulate ground motions for larger-magnitude scenarios M6.0, 6.5, 7.0, 7.5, and 8.0. For the physics-based method, we vary the faulting mechan
Authors
Xiaodan Sun, Sanaz Rezaeian, Brandon Clayton, Stephen H. Hartzell
Finite‐fault Bayesian inversion of teleseismic body waves
Inverting geophysical data has provided fundamental information about the behavior of earthquake rupture. However, inferring kinematic source model parameters for finite‐fault ruptures is an intrinsically underdetermined problem (the problem of nonuniqueness), because we are restricted to finite noisy observations. Although many studies use least‐squares techniques to make the finite‐fault problem
Authors
Brandon Clayton, Stephen H. Hartzell, Morgan P. Moschetti, Sarah E. Minson
Non-USGS Publications**
**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.
Unified Hazard Tool
Use this web application to obtain earthquake hazards data from the U.S. Hazard Model.
USGS Earthquake Hazard Toolbox: nshmp-apps
NSHM Hazard Tool, a suite of web tools for the NSHMP.
nshmp-haz-v2
U.S. Geological Survey (USGS) National Seismic Hazard Model Project (NSHMP) codes for performing probabilistic seismic hazard (PSHA) and related analyses. These codes are intended for use with seismic hazard models developed by the NSHMP for the U.S. and its territories. This project includes a variety of command line applications and web service classes and relies on the nshmp-lib hazard library,
nshmp-lib
nshmp-lib is a USGS developed Java library that supports probabilistic seismic hazard (PSHA) and related analyses. This project includes all the code required to load, process and query USGS National Seismic Hazard Models (NSHMs). nshmp-lib is used by command line applications and web services found in the nshmp-haz project. See that project for running PSHA calculations.
Science and Products
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
Data Release for Additional Period and Site Class Data for the 2018 National Seismic Hazard Model for the Conterminous United States (ver. 1.1, February 2020)
The updated 2018 National Seismic Hazard Model includes new ground motion models, aleatory uncertainty, and soil amplification factors for the central and eastern U.S. and incorporates basin depths from local seismic velocity models in four western U.S. (WUS) urban areas. These additions allow us, for the first time, to calculate probabilistic seismic hazard curves for an expanded set of spectral
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
The 2018 update of the US National Seismic Hazard Model: Where, why, and how much probabilistic ground motion maps changed
The 2018 US Geological Survey National Seismic Hazard Model (NSHM) incorporates new data and updated science to improve the underlying earthquake and ground motion forecasts for the conterminous United States. The NSHM considers many new data and component input models: (1) new earthquakes between 2013 and 2017 and updated earthquake magnitudes for some earlier earthquakes; (2) two updated smoothe
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles S Mueller, Morgan P. Moschetti, Arthur Frankel, Sanaz Rezaeian, Daniel McNamara, Nicolas Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon Clayton, Edward H. Field, Yuehua Zeng
The 2018 update of the US National Seismic Hazard Model: Additional period and site class data
As part of the update of the 2018 National Seismic Hazard Model (NSHM) for the conterminous United States (CONUS), new ground motion and site effect models for the central and eastern United States were incorporated, as well as basin depths from local seismic velocity models in four western US (WUS) urban areas. These additions allow us, for the first time, to calculate probabilistic seismic hazar
Authors
Allison Shumway, Mark D. Petersen, Peter M. Powers, Sanaz Rezaeian, Kenneth S. Rukstales, Brandon Clayton
The 2018 update of the US National Seismic Hazard Model: Overview of model and implications
During 2017–2018, the National Seismic Hazard Model for the conterminous United States was updated as follows: (1) an updated seismicity catalog was incorporated, which includes new earthquakes that occurred from 2013 to 2017; (2) in the central and eastern United States (CEUS), new ground motion models were updated that incorporate updated median estimates, modified assessments of the associated
Authors
Mark D. Petersen, Allison Shumway, Peter M. Powers, Charles Mueller, Morgan P. Moschetti, Arthur Frankel, Sanaz Rezaeian, Daniel E. McNamara, Nicolas Luco, Oliver S. Boyd, Kenneth S. Rukstales, Kishor Jaiswal, Eric M. Thompson, Susan M. Hoover, Brandon Clayton, Edward H. Field, Yuehua Zeng
Estimation of ground motion variability in the CEUS using simulations
We estimate earthquake ground-motion variability in the central and eastern U.S. (CEUS) by varying the model parameters of a deterministic physics-based and a stochastic site-based simulation method. Utilizing a moderate-magnitude database of recordings, we simulate ground motions for larger-magnitude scenarios M6.0, 6.5, 7.0, 7.5, and 8.0. For the physics-based method, we vary the faulting mechan
Authors
Xiaodan Sun, Sanaz Rezaeian, Brandon Clayton, Stephen H. Hartzell
Finite‐fault Bayesian inversion of teleseismic body waves
Inverting geophysical data has provided fundamental information about the behavior of earthquake rupture. However, inferring kinematic source model parameters for finite‐fault ruptures is an intrinsically underdetermined problem (the problem of nonuniqueness), because we are restricted to finite noisy observations. Although many studies use least‐squares techniques to make the finite‐fault problem
Authors
Brandon Clayton, Stephen H. Hartzell, Morgan P. Moschetti, Sarah E. Minson
Non-USGS Publications**
**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.
Unified Hazard Tool
Use this web application to obtain earthquake hazards data from the U.S. Hazard Model.
USGS Earthquake Hazard Toolbox: nshmp-apps
NSHM Hazard Tool, a suite of web tools for the NSHMP.
nshmp-haz-v2
U.S. Geological Survey (USGS) National Seismic Hazard Model Project (NSHMP) codes for performing probabilistic seismic hazard (PSHA) and related analyses. These codes are intended for use with seismic hazard models developed by the NSHMP for the U.S. and its territories. This project includes a variety of command line applications and web service classes and relies on the nshmp-lib hazard library,
nshmp-lib
nshmp-lib is a USGS developed Java library that supports probabilistic seismic hazard (PSHA) and related analyses. This project includes all the code required to load, process and query USGS National Seismic Hazard Models (NSHMs). nshmp-lib is used by command line applications and web services found in the nshmp-haz project. See that project for running PSHA calculations.