Global surface wave diffraction tomography

By M. Ritzwoller, N. M. Shapiro, M. P. Barmin, A. Levshin. 2002

301 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/f8e47b6d26068b259b2f5377ceef46790b99c782

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In Geophysics

Citations in the corpus

Thermodynamic constraints on seismic inversions (2004, methodology): “The first step is surface wave tomography (e.g. Barmin et al. 2001; Ritzwoller et al. 2002) in which the measured dispersion curves are inverted to produce 2-”
Three‐dimensional sensitivity kernels for surface wave observables (2004, background): “... properties of seismic body waves (Yomogida 1992; Marquering et al. 1998; Friederich 1999; Marquering et al. 1999; Dahlen et al. 2000; Hung et al. 2000; Dalkolmo & Friederich 2000; Zhao et al. 2000; K´ arason & van der Hilst 2001; Montelli et al. 2003); surface waves (Snieder 1986; Snieder & Nole”
Seismic imaging: From classical to adjoint tomography (2012, background): “…solutions to surface wave phase velocity (Ekström and Dziewonski, 1998; Montagner and Nataf, 1986; Nakanishi and Anderson, 1984; Nataf et al., 1984; Ritzwoller et al., 2002; Tanimoto and Anderson, 1985; Trampert and Woodhouse, 1996; Yang and Forsyth, 2006), group velocity (e.g., Bensen et al.,…”
Inferring surface heat flux distributions guided by a global seismic model: particular application to Antarctica (2004, methodology): “Period-specific dispersion maps were constructed with ‘‘diffraction tomography’’, which is based on a physical model of the surface-wave lateral sensitivity kernels [23].”
Regional tomographic inversion of the amplitude and phase of Rayleigh waves with 2-D sensitivity kernels (2006, background): “In recent years, the finite-frequency properties of surface waves have been considered in a number of global surface wave tomography studies (Clevede et al. 2000; Spetzler et al. 2002; Ritzwoller et al. 2002; Yoshizawa & Kennett 2002; Zhou et al. 2004).”
Monte-Carlo inversion for a global shear-velocity model of the crust and upper mantle (2002, methodology): “C© 2002 RAS, GJI, 151, 88–105 D ow nloaded from https://academ ic.oup.com /gji/article-abstract/151/1/88/624058 by guest on 16 M arch 2020 C© 2002 RAS, GJI, 151, 88–105 400 300 200 100 0 d e p th 3 4 5 velocity Phase velocity inversion(a) velocity 400 300 200 100 0 d e p th 3 4 5 Group velocity inve”
Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise (2004, unknown): “…of a period group-velocity diagram computed from this cross-correlation with a dispersion curve (solid black line) predicted for the corresponding inter-station path from global Rayleigh-wave group velocity tomographic maps of [ Ritzwoller et al. , 2002] computed from the ballistic surface waves.”
Global P and PP traveltime tomography: rays versus waves (2004, background): “Various later attempts have been made to compute Fresnel or influence zones for band-limited seismic traveltimes in two and three dimensions (Gelchinsky 1985; Woodward 1992; Yomogida 1992; Cardimora & Garmany 1993; Stark & Nikolayev 1993; Vasco & Majer 1993; Li & Tanimoto 1993; Marquering et al. 199”
Global crustal thickness from neural network inversion of surface wave data (2007, methodology): “The aim of this study is to investigate how well Moho depth can be retrieved from current phase (Trampert & Woodhouse 2003) and group velocity (Ritzwoller et al. 2002) maps without the use of restrictive a priori constraints.”
Eikonal tomography: surface wave tomography by phase front tracking across a regional broad‐band seismic array (2009, methodology): “…speeds in the medium of propagation using ray theory with straight or potentially bent rays (e.g. Trampert & Woodhouse 1996; Ekstrom et al. 1997; Ritzwoller & Levshin 1998; Yoshizawa & Kennett 2002) or finite frequency kernels (e.g. Dahlen et al. 2000; Ritzwoller et al. 2002; Levshin et al. 2005).”
Cooling history of the Pacific lithosphere (2003, methodology): “[28] modified for diffraction tomography (with spatially extended sensitivity kernels [23]).”
The thermal structure of the lithosphere from shear wave velocities (2006, background): “[26] examined the effects of off-great circle propagation and found that for short path lengths (∼5000 km), the great circle assumption was adequate but led to increasing bias in the inverted model as path length increased.”
Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements (2007, unknown): “…processing data from a single station (Section 2), cross-correlating and stacking data from station-pairs (Section 3), measuring surface wave dispersion (Section 4) and applying data quality control measures, particularly estimating uncertainties and selecting reliable measurements (Section 5).”