Multiscale seismic tomography

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Inferring upper-mantle structure by full waveform tomography with the spectral element method (2011, methodology): “After a series of tests, we chose to keep apparent Moho depth fixed at 60 km and introduce crustal radial anisotropy (ξ ) to compensate, allowing it to vary from 0.8 to 1.4.”
Deep-learning inversion: a next generation seismic velocity-model building method (2019, background): “Many of the explored techniques such as migration velocity analysis (Al-Yahya and Kamal, 1989), tomography (Chiao and Kuo, 2001), and full-waveform inversion (FWI) (Tarantola, 1984; Mora, 1987; Virieux and Operto, 2009) share the same purpose of building more accurate velocity models.”
Seismic imaging: From classical to adjoint tomography (2012, background): “…6), seismic tomography could greatly benefit frommultiscale inversions with enhanced clarity on well-covered regions (e.g., Boschi et al., 2004; Chiao and Kuo, 2001; Hung et al., 2011; Zhao, 2009) as well as data mining beyond main body and surfacewave arrivals on existingwaveforms (see…”
Imaging seismic velocity structure beneath the Iceland hot spot: A finite frequency approach (2004, background): “We have exercised both tactics in our tomographic inversion and have found that the difference in resolved mantle velocity anomalies is trivial in the target region (below 150 km, and see discussions below).”