3-DMonte Carlo surface wave tomography
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Date
2018-12
Publication Type
Journal Article
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yes
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Abstract
Seismic surface wave tomography is a tried and tested method to reveal the subsurface structure of the Earth. However, the conventional 2-step scheme of inverting first for 2-D maps of surface wave phase or group velocity and then inverting for the 3-D spatial velocity structure preserves little information about lateral spatial correlations, and introduces additional uncertainties and errors into the 3-D result. We introduce a 1-step 3-D non-linear surface wave tomography method that removes these effects by inverting for 3-D spatial structure directly from frequency-dependent traveltime measurements. We achieve this using the reversible jump Markov chain Monte Carlo (McMC) algorithm with a fully 3-D model parametrization. Synthetic tests show that the method estimates the velocity model and associated uncertainties significantly better than the conventional 2-step McMC method, and that the computational cost seems to be comparable with 2-step McMC methods. The resulting uncertainties are more intuitively reasonable than those from the 2-step method, and provide directly interpretable uncertainty on volumetrics of structures of interest.
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published
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Journal / series
Volume
215 (3)
Pages / Article No.
1644 - 1658
Publisher
Oxford University Press
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Edition / version
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Date collected
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Subject
McMC; Tomography; Surface wave; Seismology
Organisational unit
03953 - Robertsson, Johan / Robertsson, Johan
Notes
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.