scholarly journals Seismic Structure of the Upper Mantle Beneath Eastern Asia From Full Waveform Seismic Tomography

2018 ◽  
Vol 19 (8) ◽  
pp. 2732-2763 ◽  
Author(s):  
Kai Tao ◽  
Stephen P. Grand ◽  
Fenglin Niu
Keyword(s):  
Seismic Tomography ◽  
Upper Mantle ◽  
Seismic Structure ◽  
Eastern Asia ◽  
Full Waveform

scholarly journals Comparing global tomography-derived and gravity-based upper mantle density models

2020 ◽  
Vol 221 (3) ◽  
pp. 1542-1554 ◽  
Author(s):  
B C Root
Keyword(s):  
Seismic Tomography ◽  
Upper Mantle ◽  
Seismic Data ◽  
Gravity Data ◽  
Heterogeneous Data ◽  
Clear Correlation ◽  
Data Sets ◽  
Satellite Gravity ◽  
Similar Density ◽  
Similar Peak

SUMMARY Current seismic tomography models show a complex environment underneath the crust, corroborated by high-precision satellite gravity observations. Both data sets are used to independently explore the density structure of the upper mantle. However, combining these two data sets proves to be challenging. The gravity-data has an inherent insensitivity in the radial direction and seismic tomography has a heterogeneous data acquisition, resulting in smoothed tomography models with de-correlation between different models for the mid-to-small wavelength features. Therefore, this study aims to assess and quantify the effect of regularization on a seismic tomography model by exploiting the high lateral sensitivity of gravity data. Seismic tomography models, SL2013sv, SAVANI, SMEAN2 and S40RTS are compared to a gravity-based density model of the upper mantle. In order to obtain similar density solutions compared to the seismic-derived models, the gravity-based model needs to be smoothed with a Gaussian filter. Different smoothening characteristics are observed for the variety of seismic tomography models, relating to the regularization approach in the inversions. Various S40RTS models with similar seismic data but different regularization settings show that the smoothening effect is stronger with increasing regularization. The type of regularization has a dominant effect on the final tomography solution. To reduce the effect of regularization on the tomography models, an enhancement procedure is proposed. This enhancement should be performed within the spectral domain of the actual resolution of the seismic tomography model. The enhanced seismic tomography models show improved spatial correlation with each other and with the gravity-based model. The variation of the density anomalies have similar peak-to-peak magnitudes and clear correlation to geological structures. The resolvement of the spectral misalignment between tomographic models and gravity-based solutions is the first step in the improvement of multidata inversion studies of the upper mantle and benefit from the advantages in both data sets.

scholarly journals Seismic structure of the European upper mantle based on adjoint tomography

2015 ◽  
Vol 201 (1) ◽  
pp. 18-52 ◽  
Author(s):  
Hejun Zhu ◽  
Ebru Bozdağ ◽  
Jeroen Tromp
Keyword(s):  
Upper Mantle ◽  
Seismic Structure ◽  
Adjoint Tomography

Seismic Tomography Of The Upper Mantle Beneath Se Brazil

2001 ◽  
Author(s):  
Christian Escalante ◽  
Martin Schimmel ◽  
Marcelo Assumpção
Keyword(s):  
Seismic Tomography ◽  
Upper Mantle ◽  
Se Brazil

scholarly journals Seismic Structure of the Antarctic Upper Mantle Imaged with Adjoint Tomography

2020 ◽  
Vol 125 (3) ◽  
Author(s):  
A. J. Lloyd ◽  
D. A. Wiens ◽  
H. Zhu ◽  
J. Tromp ◽  
A. A. Nyblade ◽  
...  
Keyword(s):  
Upper Mantle ◽  
Seismic Structure ◽  
Adjoint Tomography ◽  
The Antarctic

scholarly journals Slab behavior beneath Eastern Asia from full waveform tomography

2019 ◽  
Vol 93 (S1) ◽  
pp. 328-328
Author(s):  
Stephen P. Grand ◽  
Kai Tao ◽  
Fenglin Niu
Keyword(s):  
Eastern Asia ◽  
Full Waveform ◽  
Waveform Tomography
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