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Tensor-guided fitting of subduction slab depths

Bulletin of the Seismological Society of America

By:
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DOI: 10.1785/0120120333

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Abstract

Geophysical measurements are often acquired at scattered locations in space. Therefore, interpolating or fitting the sparsely sampled data as a uniform function of space (a procedure commonly known as gridding) is a ubiquitous problem in geophysics. Most gridding methods require a model of spatial correlation for data. This spatial correlation model can often be inferred from some sort of secondary information, which may also be sparsely sampled in space. In this paper, we present a new method to model the geometry of a subducting slab in which we use a data‐fitting approach to address the problem. Earthquakes and active‐source seismic surveys provide estimates of depths of subducting slabs but only at scattered locations. In addition to estimates of depths from earthquake locations, focal mechanisms of subduction zone earthquakes also provide estimates of the strikes of the subducting slab on which they occur. We use these spatially sparse strike samples and the Earth’s curved surface geometry to infer a model for spatial correlation that guides a blended neighbor interpolation of slab depths. We then modify the interpolation method to account for the uncertainties associated with the depth estimates.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Tensor-guided fitting of subduction slab depths
Series title:
Bulletin of the Seismological Society of America
DOI:
10.1785/0120120333
Volume
103
Issue:
5
Year Published:
2013
Language:
English
Publisher:
Seismological Society of America
Contributing office(s):
Geologic Hazards Science Center
Description:
12 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Bulletin of the Seismological Society of America
First page:
2657
Last page:
2669
Number of Pages:
12