Data Services Products: EMC-EUS-DGR-2022 3D shear-wave velocity model of the Eastern United States

Summary

EUS-DGR-2022 (Chai, Ammon, Maceira, and Herrmann, 2022) is a shear velocity model that combines spatially interpolated/smoothed receiver functions, surface-wave dispersions and gravity observations through a 3D simultaneous inversion to image the subsurface S-wave velocity structure of the eastern U.S. region. DGR stands for dispersion, gravity and receiver functions.

Description

Name EUS-DGR-2022
Title 3D shear-wave velocity model of the Eastern United States
Type 3D Tomography Earth Model
Sub Type Shear-wave velocity (km/s)
Year 2022
Data Revision r0.0 (revision history)
 
Short Description   The EUS-DGR-2022 shear velocity model combines spatially interpolated/smoothed receiver functions, surface-wave dispersions and gravity observations through a 3D simultaneous inversion to image the subsurface S-wave velocity structure of the eastern U.S. region. Data include 3950 interpolated P-wave receiver functions, 1900 Rayleigh-wave group and phase velocity dispersion curves, and wavenumber filtered Bouguer gravity observations. Constrained by simplified receiver functions and multiple geophysical observations, the velocity model is a reliable starting point for more detailed seismic investigations. Supplements to the original manuscript (available from AGU) include the original-formatted model and related visualizations.
 
Authors: Chengping Chai, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA

Charles J. Ammon, Department of Geosciences, Pennsylvania State University, University Park, PA, 16802, USA

Monica Maceira, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA

Robert B. Herrmann, Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, 63108, USA

 
Previous Model None
Reference Model None
Model Download EUS-DGR-2022.r0.0.nc (see metadata) is the EUS-DGR-2022 model in netCDF 3 Classic format. The model is expressed as shear velocity in km/s. Density (g/cm3) and P-wave velocity (in km/s) are also provided, which are inferred based on the empirical relationship between density and shear wave velocity (Maceira and Ammon, 2009) and Vp/Vs ratios from Crust 1.0 (Laske et al., 2013)
 
Model Home Page None
Depth Coverage 1 to 2048 km
 
Area Eastern U.S. region (latitude: 25.5˚/49.5˚, longitude: -104.5˚/-67.5˚)
 
Data Set Description The dataset includes spatially interpolated/smoothed P-wave receiver functions from around 1700 stations, Rayleigh-wave group velocities (short periods from Herrmann et al., 2021 and long periods from Ekström, 2011), and wavenumber filtered Bouguer gravity observations (Balmino et al., 2012). The receiver functions were processed following steps described by Chai et al. (2015).
 
 

Shear-velocity maps
Shear-velocity maps showing depth range (a) 0–5 km, (b) 15–31 km, (c) 37 km, and (d) 63 km from the 3D model. Thick black lines in panel (a) indicate major sedimentary units. Thick black lines in panels (b–d) show the physiographic boundaries. Thin black lines show state boundaries. Warm colors show relatively slower regions and cool colors indicate relatively faster regions. Although the colors are constant, the velocity range in each figure varies substantially. The anomalies at 0–5 km depth are primarily corresponding to sedimentary basins. The velocity changes at 15–31 km depth are related to lateral variations in mid-lower crust structure. (Chai et al., 2022)

Citations and DOIs

To cite the original work behind this Earth model:

  • Chai, C., Ammon, C. J., Maceira, M., & Herrmann, R. (2022). Crust and upper mantle structure beneath the eastern United States. Geochemistry, Geophysics, Geosystems, 23(3), e2021GC010233. https://doi.org/https://doi.org/10.1029/2021GC010233.

To cite IRIS DMC Data Products effort:

  • Trabant, C., A. R. Hutko, M. Bahavar, R. Karstens, T. Ahern, and R. Aster (2012), Data Products at the IRIS DMC: Stepping Stones for Research and Other Applications, Seismological Research Letters, 83(5), 846–854, https://doi.org/10.1785/0220120032.

DOI for this EMC webpage: https://doi.org/10.17611/dp/emc.eusdgr2022.1

References

  • Balmino, G., N. Vales, S. Bonvalot, & A. Briais (2012), Spherical harmonic modelling to ultra-high degree of Bouguer and isostatic anomalies, Journal of Geodesy, 86(7), 499–520, https://doi.org/https://doi.org/10.1007/s00190-011-0533-4.
  • Chai, C., Ammon, C. J., Maceira, M., & Herrmann, R. B. (2015). Inverting interpolated receiver functions with surface wave dispersion and gravity: Application to the western U.S. and adjacent Canada and Mexico. Geophysical Research Letters, 42(11), 4359–4366. https://doi.org/https://doi.org/10.1002/2015GL063733
  • Ekström, G. (2011), A global model of Love and Rayleigh surface wave dispersion and anisotropy, 25–250 s, Geophysical Journal International, 187(3), 1668–1686, https://doi.org/https://doi.org/10.1111/j.1365-246X.2011.05225.x.
  • Herrmann, R. B., Ammon, C. J., Benz, H. M., Aziz-Zanjani, A., & Boschelli, J. (2021). Short-period surface-wave tomography in the continental United States—a resource for research. Seismological Research Letters, 92(6), 3642–3656. https://doi.org/https://doi.org/10.1785/0220200462.
  • Laske, G., G. Masters, Z. Ma, & M. Pasyanos (2013), Update on CRUST1.0—A 1-degree global model of Earth’s crust, Abstracts EGU2013-2658 presented at 2013 EGU General Assembly Conference, Vienna, Austria, 7–12 April.
  • Maceira, M., & Ammon, C. J. (2009). Joint inversion of surface wave velocity and gravity observations and its application to central Asian basins shear velocity structure. Journal of Geophysical Research, 114(B2), B02314. https://doi.org/https://doi.org/10.1029/2007JB005157

Credits

  • r0.0 model provided by Chengping Chai.

Revision History

revision r0.0: uploaded August 10, 2023.

Timeline

2023-08-11
r0.0 online

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