Traveltime measurements from noise correlation: stability and detection of instrumental time-shifts

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Imaging preeruptive and coeruptive structural and mechanical changes of a volcano with ambient seismic noise (2013, result): “[12] As the computed cross-correlation functions are asymmetric, due to the anisotropy of noise propagation directions [Stehly et al., 2007], we stretch the causal and acausal parts of the signal independently and average the results.”
Assessment of resolution and accuracy of the Moving Window Cross Spectral technique for monitoring crustal temporal variations using ambient seismic noise (2011, methodology): “…= −δv v (A.9) Consequently, to recoverδv/v, we apply a linear regression to theNw delay-time measure- ments (Figure A1). δti = a + bti , i = 1 . . .Nw (A.10) where the coefficienta represents a possible instrumental drift (Stehly et al. 2007), andb cor- responds to the relative time variationδt/t.”
Tomography of the Alpine region from observations of seismic ambient noise (2009, methodology): “The reconstructed Green’s functions are stable over time and robust enough to measure group velocity dispersion to a few tenths of a second, independently of the azimuth of the considered stationstation path (Stehly et al. 2007).”