Upper mantle structure of South America from joint inversion of waveforms and fundamental mode group velocities of Rayleigh waves

2007 ◽  
Vol 112 (B4) ◽  
Author(s):  
Mei Feng ◽  
Suzan van der Lee ◽  
Marcelo Assumpção
Keyword(s):  
South America ◽  
Upper Mantle ◽  
Fundamental Mode ◽  
Rayleigh Waves ◽  
Joint Inversion ◽  
Mantle Structure ◽  
Upper Mantle Structure ◽  
Mode Group ◽  
Group Velocities

Higher Modes of Rayleigh Waves and Upper Mantle Structure

1972 ◽  
pp. 93-100 ◽  
Author(s):  
V. I. Frantsuzova ◽  
A. L. Levshin ◽  
G. V. Shkadinskaya
Keyword(s):  
Upper Mantle ◽  
Rayleigh Waves ◽  
Mantle Structure ◽  
Higher Modes ◽  
Upper Mantle Structure

Upper-mantle structure of north-central italy from the dispersion of Rayleigh waves

1979 ◽  
Vol 56 (1-2) ◽  
pp. 51-63 ◽  
Author(s):  
G. Calcagnile ◽  
G.F. Panza ◽  
L. Knopoff
Keyword(s):  
Upper Mantle ◽  
Rayleigh Waves ◽  
Central Italy ◽  
Mantle Structure ◽  
North Central ◽  
Upper Mantle Structure

Upper mantle structure of the Apulian plate from Rayleigh waves

1980 ◽  
Vol 118 (2) ◽  
pp. 823-830 ◽  
Author(s):  
G. Calcagnile ◽  
G. F. Panza
Keyword(s):  
Upper Mantle ◽  
Rayleigh Waves ◽  
Mantle Structure ◽  
Upper Mantle Structure

scholarly journals Crustal and upper mantle structure of southernmost South America inferred from regional waveform inversion

2003 ◽  
Vol 108 (B1) ◽  
Author(s):  
Stacey D. Robertson Maurice ◽  
Douglas A. Wiens ◽  
Keith D. Koper ◽  
Emilio Vera
Keyword(s):  
South America ◽  
Upper Mantle ◽  
Waveform Inversion ◽  
Mantle Structure ◽  
Upper Mantle Structure

Extracting higher-mode dispersion curves from ambient noise data by using F-J method to acquire more accurate crustal and upper-mantle structure for the east of South China

2020 ◽  
Author(s):  
Juqing Chen ◽  
Xiaofei Chen
Keyword(s):  
South China ◽  
Upper Mantle ◽  
Fundamental Mode ◽  
Ambient Noise ◽  
Dispersion Curves ◽  
Inversion Method ◽  
Mantle Structure ◽  
Higher Modes ◽  
Upper Mantle Structure ◽  
Noise Data

<p>It has been widely recognized that the cross-correlation function (CCF) of ambient noise data recorded at two seismic stations approximates to the part of Green’s Function between these two stations. Theoretically, the CCF should include the higher modes, apart from the fundamental mode. However, currently well-known and mature methods that can extract dispersion curves are not pretty proficient in extracting higher modes. Fortunately, our newly proposing method, the Frequency-Bessel Transform Method (F-J Method), has presented its obvious advantage in extracting higher modes. This study applied F-J method to seismic ambient noise data for the east of South China, including Jiangnan Orogen and South China Fold System. We have acquired higher modes, not to mention the fundamental mode with wider frequency than previous studies. Combining both fundamental mode and higher modes, we used L-BFGS inversion method to inverse and acquire more accurate crustal and upper-mantle structure than previous studies only adopting fundamental mode for the east of South China. As shown in this study for the east of South China, we can use F-J method  to conveniently and precisely extract multimodes from ambient noise data and thus add more constrains for inversion results, which can significantly improve the preciseness of imaging crustal and upper-mantle structure.</p>

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