Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements

By G. D. Bensen, M. Ritzwoller, M. P. Barmin, A. Levshin, Fan-Chi Lin, Morgan P. Moschetti, N. M. Shapiro, Yingjie Yang. 2007

1,975 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geophysics

View Paper: https://www.semanticscholar.org/paper/4197ef5c0008c4c374acd1ec4bbec953c92bbb21

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Citations in the corpus

Analysis of ambient noise energy distribution and phase velocity bias in ambient noise tomography, with application to SE Tibet (2009, background): “1 yr) and temporal and spectral normalization before cross-correlation, for example, one-bit (Shapiro & Campillo 2004) or running-absolute-mean normalization and whitening ( Bensen et al. 2007 ), are efficient in making the distribution of ambient noise sources more isotropic.”
Ambient noise Rayleigh wave tomography across Europe (2007, methodology): “The data processing procedure that is applied here is very similar to that discussed at greater length by Bensen et al. (2006). Using vertical-component seismic data implies that the resulting cross-correlations contain only Rayleigh wave signals. Data are processed one day at a time for each statio”
On establishing the accuracy of noise tomography travel‐time measurements in a realistic medium (2009, background): “Sabra et al. 2005; Shapiro et al. 2005; Yao et al. 2006; Benson et al. 2007; Cho et al. 2007; Yang et al. 2007).”
Seismic Signal Denoising and Decomposition Using Deep Neural Networks (2018, background): “It could have significant applications in data preprocessing for ambient seismic noise studies where the contamination of noise data with earthquake signals can heavily affect the cross-correlation results [58] and the current way of dealing with earthquake contamination is to simply discard the ass”
Determination of surface‐wave phase velocities across USArray from noise and Aki's spectral formulation (2009, methodology): “…time-domain methods commonly restrict the analysis to path lengths greater than two wavelengths [Shapiro et al., 2005] or three wavelengths (l) [Bensen et al., 2007; Harmon et al., 2008; Lin et al., 2008; Yang et al., 2007; Yao et al., 2006], since a far-field approximation is used in the…”
Tutorial on seismic interferometry: Part 1 — Basic principles and applications (2010, background): “Bensen et al. (2007) have shown that it is possible to retrieve the Rayleigh-wave velocity as a function of frequency.”
Anelastic Earth structure from the coherency of the ambient seismic field (2008, methodology): “Note that equation (A1) is equivalent to a time domain correlation after each signal has been prewhitened [Bensen et al., 2007].”
A seismic reference model for the crust and uppermost mantle beneath China from surface wave dispersion (2016, methodology): “Ambient noise data processing is accomplished using the method described by Bensen et al. (2007) and Lin et al. (2008) with the primary caveat that pains are taken to minimize the impact of the Kyushu persistent microsiesmic source at Aso volcano in the centre of Kyushu (e.g. Zeng & Ni 2010, 2011;…”
Characteristics of ambient seismic noise as a source for surface wave tomography (2008, methodology): “The data processing procedure applied here is similar to that described at length by Bensen et al. [2007a] .”
Transdimensional tomography with unknown data noise (2012, background): “…criteria prior to inversion (Abers & Roecker 1991; Fukao et al. 1992; Sambridge et al. 1995; Sambridge & Gudmundsson 1998; Spakman & Bijwaard 1998; Bijwaard et al. 1998; Boschi et al. 2004; Zhang & Thurber 2005; Nolet & Montelli 2005; Li et al. 2008; Boschi et al. 2009; Schivardi & Morelli 2009).”
Ambient noise Rayleigh wave tomography of New Zealand (2007, methodology): “1), using methods described by Bensen et al. (2007) and outlined in Section 2.”
Frequency‐Bessel Transform Method for Effective Imaging of Higher‐Mode Rayleigh Dispersion Curves From Ambient Seismic Noise Data (2019, methodology): “…of inhomogeneous distribution of ambient seismic field source, earthquake events and instrumental irregularities, preprocessings, such as temporal normalization, spectral whitening, are performed to the raw ambient seismic noise data before computing the cross-correlation (Bensen et al., 2007).”