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Articles | Volume 12, issue 7
Articles | Volume 12, issue 7
https://doi.org/10.5194/se-12-1601-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-12-1601-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 7
Method article
 | 
19 Jul 2021
Method article |  | 19 Jul 2021

Comparing global seismic tomography models using varimax principal component analysis

Olivier de Viron, Michel Van Camp, Alexia Grabkowiak, and Ana M. G. Ferreira

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Cited articles

Auer, L., Boschi, L., Becker, T. W., Nissen-Meyer, T., and Giardini, D.: Savani: A variable resolution whole-mantle model of anisotropic shear velocity variations based on multiple data sets, J. Geophys. Res.-Sol. Ea., 119, 3006–3034, https://doi.org/10.1002/2013JB010773, 2014. a, b, c
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Begg, G., Griffin, W., Natapov, L., O'Reilly, S. Y., Grand, S., O'Neill, C., Hronsky, J., Djomani, Y. P., Swain, C., Deen, T., and Bowden, P.: The lithospheric architecture of Africa: Seismic tomography, mantle petrology, and tectonic evolution, Geosphere, 5, 23–50, https://doi.org/10.1130/GES00179.1, 2009. a
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As the travel time of seismic waves depends on the Earth's interior properties, seismic tomography uses it to infer the distribution of velocity anomalies, similarly to what is done in medical tomography. We propose analysing the outputs of those models using varimax principal component analysis, which results in a compressed objective representation of the model, helping analysis and comparison.
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