Artificial age-independent seismic anisotropy, slab thickening and shallowing due to limited resolving power of (an)isotropic tomography

Author:

Rappisi F1ORCID,Witek M2,Faccenda M3ORCID,Ferreira A M G45,Chang S - J6

Affiliation:

1. Institute of Geophysics and Tectonics, School of Earth and Environment, University of Leeds , Leeds LS2 9JT , United Kingdom

2. Department of Earth and Environmental Sciences, Korea University , Seoul 02841 , South Korea

3. Dipartimento di Geoscienze, Università degli Studi di Padova , 35131 Padova , Italy

4. Department of Earth Science, University College London , London WC1E 6BT , United Kingdom

5. CERIS, Instituto Superior Técnico, Universidade de Lisboa , 1049-001 Lisboa , Portugal

6. Department of Geophysics, Kangwon National University , Chuncheon 24341 , South Korea

Abstract

SUMMARY Seismic anisotropy is key to constrain mantle flow, but it is challenging to image and interpret it. Existing large-scale tomography models of seismic anisotropy typically show large discrepancies, which can lead to completely distinct geodynamical interpretations. To better quantify the robustness of anisotropy tomography, we create a 2-D ridge-to-slab geodynamic model and compute the associated fabrics. Using the resulting 21 elastic constants, we compute seismic full waveforms, which are inverted for isotropic and radially anisotropic structure. We test the effects of different data coverage and levels of regularization on the resulting images and on their geodynamical interpretation. Within the context of our specific imposed conditions and source–receiver configuration, the retrieved isotropic images exhibit substantial artificial slab thickening and loss of the slab’s high-velocity signature below ∼100 km depth. Our results also show that the first-order features of radial anisotropy are well retrieved despite strong azimuthal anisotropy (up to 2.7 per cent) in the input model. On the other hand, regularization and data coverage strongly control the detailed characteristics of the retrieved anisotropy, notably the depth–age dependency of anisotropy, leading to an artificial flat depth–age trend shown in existing anisotropy tomography models. Greater data coverage and additional complementary data types are needed to improve the resolution of (an)isotropic tomography models.

Funder

NERC

European Research Council

National Research Foundation of Korea

Ministry of Education

Publisher

Oxford University Press (OUP)

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