Three‐dimensional sensitivity kernels for surface wave observables

By Ying Zhou, Francis Anthony Dahlen, Guust Nolet. 2004

290 citations recorded by the source corpus.

Subfields: Geophysics, Mechanics of Materials, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/094ab12dfec5ddec86e189f8a0555348a9cdb6fc

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Citations in the corpus

Seismic tomography of the southern California crust based on spectral‐element and adjoint methods (2010, methodology): “The traveltime measurement is made using a multitaper method (e.g. Percival & Walden 1993; Laske & Masters 1996; Zhou et al. 2004), and hi(ω) is a frequency-domain window with associated normalization constant Hi = ∫ ∞ −∞ hi (ω) dω.”
Misfit functions for full waveform inversion based on instantaneous phase and envelope measurements (2011, methodology): “Tape et al. (2009) showed a regional example of seismic tomography based on frequency-dependent traveltime measurements, also known as multitaper measurements (e.g. Zhou et al. 2004), using a conjugate gradient method together with adjoint kernels.”
Regional tomographic inversion of the amplitude and phase of Rayleigh waves with 2-D sensitivity kernels (2006, methodology): “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).”
Ambient noise Rayleigh wave tomography across Europe (2007, methodology): “…wave studies have increasing moved toward diffraction tomography using spatially extended finite-frequency sensitivity kernels based on the Born/Rytov approximation (e.g. Clevede et al. 2000; Spetzler et al. 2002; Ritzwoller et al. 2002; Yoshizawa & Kennett 2002; Zhou et al. 2004, many others).”
On establishing the accuracy of noise tomography travel‐time measurements in a realistic medium (2009, methodology): “Furthermore, the shapes of noise-tomography sensitivity kernels are different than standard finite-frequency kernels (e.g. Zhou et al. 2004) regardless of whether corrections are needed.”
Helmholtz surface wave tomography for isotropic and azimuthally anisotropic structure (2011, background): “D Helmholtz equation can result in strong side lobe oscillation particularly in the backward scattering region (Zhou et al. 2004).”
Hessian kernels of seismic data functionals based upon adjoint techniques (2011, background): “…and the reference Earth model, m. Specific examples for common seismic phases and measurements can be found, for instance, in Friederich (1999), Zhou et al. (2004), Yoshizawa & Kennett (2005), Zhao et al. (2005), Liu & Tromp (2006, 2008), Nissen-Meyer et al. (2007), Sieminski et al. (2007a,b)…”
Finite-frequency sensitivity kernels for global seismic wave propagation based upon adjoint methods (2008, methodology): “…of different ways, including surface wave Green’s functions (Marquering et al. 1999), body-wave ray theory (the so-called ‘banana–doughnut’ kernels Dahlen et al. 2000; Hung et al. 2000), surface wave ray theory (Zhou et al. 2004), and normal-model theory (Zhao et al. 2000; Zhao & Jordan 2006).”
Ambient noise Rayleigh wave tomography of New Zealand (2007, methodology): “In recent years, surface wave studies have increasingly used diffraction tomography based on spatially extended finite-frequency sensitivity kernels derived from the Born/Rytov approximation (e.g. Spetzler et al. 2002; Ritzwoller et al. 2002; Yoshizawa & Kennett 2002; Zhou et al. 2004; many others).”
Finite-Frequency Kernels Based on Adjoint Methods (2006, methodology): “For layercake or spherically symmetric Earth models, sensitivity or Fréchet kernels may be calculated based on surface-wave Green’s functions (Marquering et al., 1999), normal modes (Zhao et al., 2000), or asymptotic, ray-based methods (Dahlen et al., 2000; Hung et al., 2000; Zhou et al., 2004).”
Tomographic inversion using L1-norm regularization of wavelet coefficients (2006, methodology): “This particular method of thresholding is borrowed from image denoising where it is found to make a big difference in avoiding artefacts (van Spaendonck et al. 2003; Selesnick et al. 2005; Guleryuz 2006).”
Strain Green's Tensors, Reciprocity, and Their Applications to Seismic Source and Structure Studies (2006, methodology): “…and Hung et al. (2000) presented an efficient algorithm for computing the bananadoughnut kernels for body waves by using geometrical ray theory, Zhou et al. (2004) adopted surface-wave method to model surface-wave phase delays, whereas Zhao et al. (2000) and Zhao and Jordan (2006) took the…”
Eikonal tomography: surface wave tomography by phase front tracking across a regional broad‐band seismic array (2009, background): “(1) (e.g. Zhou et al. 2004; Tromp et al. 2005), although debate continues about whether approximate finite frequency kernels are preferable practically to ray theories based on bent rays with ad hoc crosssections (e.g. Yoshizawa & Kennett 2002; van der Hilst & de Hoop 2005; Montelli et al. 2006;…”
Body wave extraction and tomography at Long Beach, California, with ambient‐noise interferometry (2015, background): “We expect that we can estimate higher-resolution subsurface structure (particularly in depth) by using body waves rather than surface waves because of their higher frequencies and the shapes of their sensitivity kernels [Dahlen and Baig, 2002; Zhou et al., 2004].”