Data Services Products: EMC-Antarctica.ANT.Hansen_Emry.2025 3-D shear-wave velocity model of Antarctica from full-waveform ambient noise tomography

Summary

This shear-wave velocity model was generated using a full-waveform inversion (Zhang et al., 2012) that was constrained with long-period Empirical Green’s functions extracted from ambient seismic noise (Shen et al., 2012).

Description

Name Antarctica.ANT.Hansen_Emry.2025
Title 3-D shear-wave velocity model of Antarctica from full-waveform ambient
noise tomography
Type 3-D Ambient Noise Tomography Earth Model
Sub Type Shear wave speed (km/s)
Year 2025
Data Revision r0.0 (revision history)
 
Short Description   This shear-wave velocity model was generated using a full-waveform inversion (Zhang et al., 2012) that was constrained with long-period Empirical Green’s functions extracted from ambient seismic noise (Shen et al., 2012). It highlights the structure beneath Antarctica, particularly between about 50 and 350 km depth. Further details are provided in Hansen and Emry (2025).
 
Authors: Samantha E. Hansen, Department of Geological Sciences, The University of Alabama, Tuscaloosa, AL

Erica L. Emry, Department of Earth & Environmental Science, New Mexico Institute of Mining and Technology, Socorro, NM

 
Reference Model We provide a reference model that is based on AK135 (Kennett et al., 1995), modified to incorporate crustal thicknesses from An et al. (2015) and crustal P-wave velocities, S-wave velocities, and densities from Laske et al. (2013). The provided reference model file samples the same points as the ambient noise model.
 
Prior Model None
 
Usage Notes The model is reported in rotated coordinates, where the South Pole is at the origin (0°,0°) (see metadata).
 
Model Download Model in netCDF 4 Classic format: Antarctica.ANT.Hansen-Emry.2025.r0.0.nc (see metadata).

Reference model in netCDF 4 Classic format:
Antarctica.ANT.RefModel-Hansen-Emry.2025.r0.0.nc (see metadata).
 
Model Home Page https://www.usap-dc.org/view/project/p0010139
 
Depth Coverage While the model includes results from the surface down to 870 km depth, the best resolved portions of the model space are those between about 50 and 350 km.
 
Area The model covers all of Antarctica (-23.4° to 23.6° latitude and -28.6° to 28.4° longitude in the rotated coordinate system); however, we note that our corresponding publication focuses on the Wilkes Land sector (see Hansen and Emry, 2025).
 
Data Set Description Empirical Green’s functions (EGFs) were extract from continuous ambient seismic noise records, obtained from all openly available Antarctic seismic deployments. Ambient noise data from each station were split into day-long segments, were normalized according to the procedure detailed in Shen et al. (2012), and signals from M5.5+ earthquakes were removed. The data were then cross-correlated with other stations, stacked, and filtered into seven broad frequency bands. See Hansen and Emry (2025) for further details.
 
 

Figure 1
Shear-wave velocity at 100 and 200 km depth from the ambient noise tomography model of Hansen and Emry (2025), who focused on the Wilkes Land sector of East Antarctica. Note that the model is plotted in a rotated coordinate system where South Pole is at (0°,0°). Velocities are relative to the reference model at the specified depth. Bedrock topography contours (Fretwell et al., 2013) at 500 and -500 m are highlighted by thin solid and dashed lines, respectively. WARS: West Antarctic Rift System, TAMs: Transantarctic Mountains, PSB: Polar Subglacial Basin, VSH: Vostok Subglacial Highlands, WSB: Wilkes Subglacial Basin, BSH: Belgica Subglacial Highlands, ASB: Aurora Subglacial Basin, QML: Queen Mary Land.

Citations and DOIs

To cite the original work behind this Earth model:

  • Hansen, S.E. and E.L. Emry (2025), East Antarctic tectonic basin structure and its
    implications for ice-sheet modeling and sea-level projections, Nature Communications
    Earth & Environment, 6(138), https://doi.org/10.1038/s43247-025-02140-4.

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.2025.anthansenemry2025.1

References

  • An, M., D.A. Wiens, Y. Zhao, M. Feng, A.A. Nyblade, M. Kanao, Y. Li, A. Maggi, and J.-J.
    Lévêque (2015), S-velocity model and inferred Moho topography beneath the Antarctic
    plate from Rayleigh waves, Journal of Geophysical Research: Solid Earth, 120, 359-383,
    doi: https://doi.org/10.1002/2014JB011332.
  • Fretwell, P., et al. (2013), Bedmap2: improved ice bed, surface and thickness datasets
    for Antarctica, The Cryosphere, 7, 375-393, doi: https://doi.org/10.5194/tc-7-375-2013.
  • Kennett, B.L.N., E.R. Engdahl, and R. Buland (1995), Constraints on seismic velocities in
    the Earth from travel times, Geophysical Journal International, 122, 108-124, doi:
    https://doi.org/10.1111/j.1365-246X.1995.tb03540.x.
  • Laske, G., G. Masters, Z. Ma, and M. Pasyanos (2013), Update on CRUST1.0 – A 1-degree
    global model of Earth’s crust, European Geophysical Union, Abstract EGU2013-2658.
  • Shen, Y., Y. Ren, H. Gao, and B. Savage (2012), An improved method to extract very-
    broadband Empirical Green’s functions from ambient seismic noise, Bulletin of the
    Seismological Society of America, 102, 1872-1877, doi: https://doi.org/10.1785/0120120023.
  • Zhang, W., Y. Shen, and L. Zhao (2012), Three-dimensional anisotropic seismic wave
    modeling in spherical coordinates by a collocated-grid finite-difference method,
    Geophysical Journal International, 188, 1359-1381, doi: https://doi.org/10.1111/j.1365-
    246X.2011.05331.x

Credits

r0.0 model provided by Samantha E Hansen

Revision History

revision r0.0: uploaded March 04, 2025.

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