Extracting time‐domain Green's function estimates from ambient seismic noise
By Karim Sabra, Peter Gerstoft, Philippe Roux, William A. Kuperman, Michael Fehler. 2005
561 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Geophysics
View Paper: https://www.semanticscholar.org/paper/ba3f682be69894a148961c4202ac225716502b89
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In Artificial Intelligence
- M. Ritzwoller
- N. M. Shapiro
- Michel Campillo
- Roel Snieder
- Fan-Chi Lin
- Kees Wapenaar
- Laurent Stehly
- F. Brenguier
In Geophysics
- M. Ritzwoller
- N. M. Shapiro
- Roel Snieder
- Michel Campillo
- Fan-Chi Lin
- Yingjie Yang
- Kees Wapenaar
- Laurent Stehly
Citations in the corpus
- Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements (2007, methodology): “, 2005) and long ambient noise sequences (Shapiro and Campillo, 2004; Sabra et al., 2005a) and for crustal body waves using ambient noise (Roux et al.”
- Ambient noise Rayleigh wave tomography across Europe (2007, methodology): “Other researchers have used different methods; for example, Sabra et al. (2005b) used a truncation threshold for each station to clip seismograms.”
- Global P, PP, and PKP wave microseisms observed from distant storms (2008, methodology): “It has recently been demonstrated that the surface wave based microseisms can be used to resolve Earth structure through ambient noise tomography methods, [e.g., Shapiro et al., 2005; Sabra et al., 2005; Courtland, 2008].”
- Frequency‐Bessel Transform Method for Effective Imaging of Higher‐Mode Rayleigh Dispersion Curves From Ambient Seismic Noise Data (2019, background): “After the pioneering works of Aki (1957) and other researchers (e.g., Campillo & Paul, 2003; Derode et al., 2003; Lobkis & Weaver, 2001; Sabra et al., 2005a, 2005b; Sánchez-Sesma et al., 2011; Shapiro & Campillo, 2004; Shapiro et al., 2005; Snieder, 2004), once useless ambient noise data were…”
- Tomography of the Alpine region from observations of seismic ambient noise (2009, methodology): “Note that compared to other studies (Shapiro & Campillo 2004; Sabra et al. 2005b; Shapiro et al. 2005; Yao et al. 2006; Yang et al. 2007), we did not apply any C© 2009 The Authors, GJI, 178, 338–350 Journal compilation C© 2009 RAS Downloaded from…”
- Ambient noise Rayleigh wave tomography of New Zealand (2007, methodology): “, 2005) and ambient noise for surface waves (Shapiro and Campillo, 2004; Sabra et al., 2005a) and crustal body waves (Roux et al.”
- Assessment of resolution and accuracy of the Moving Window Cross Spectral technique for monitoring crustal temporal variations using ambient seismic noise (2011, methodology): “…the cross-correlation of records of a random seismic wave field taken at various locati ns within a region of interest ⋆ MWCS: assessment of resolution and accuracy3 (Weaver & Lobkis 2001; Lobkis & Weaver 2001; Campillo & Paul 2003; Shapiro & Campillo 2004; Shapiro et al. 2005; Sabra et al. 2005).”
- Tutorial on seismic interferometry: Part 1 — Basic principles and applications (2010, methodology): “To stay focussed on seismic applications, we refrain from a further discussion of the normal-mode approach, nor do we discuss the many interesting applications of Green’s function retrieval in underwater acoustics (e.g. Roux and Fink (2003), Sabra et al. (2005c), Brooks and Gerstoft (2007)).”
- Traveltime measurements from noise correlation: stability and detection of instrumental time-shifts (2007, background): “The emergence of the Green’s function is effective only after a sufficient averaging that is provided by random spatial distribution of the noise sources when considering long time-series as well as the scattering of seismic waves on heterogeneities within the Earth crust (Shapiro & Campillo 2004; ”
- Improved ambient noise correlation functions using Welch's method (2012, methodology): “The result of days, months or years of stacked correlation is often called a noise correlation function (NCF; e.g. Roux et al. 2005; Sabra et al. 2005).”
- Seismic interferometry by crosscorrelation and by multidimensional deconvolution: a systematic comparison (2010, background): “The main underlying assumptions are that the medium is lossless and that the wave field is equipartitioned, meaning that the net powerflux is (close to) zero (Malcolm et al. 2004; Sánchez-Sesma et al. 2006).”
- P‐waves from cross‐correlation of seismic noise (2005, methodology): “Lett., 32, L19303, doi:10.1029/2005GL023803.”