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Computing Green's Functions from Ambient Noise Recorded by Accelerometers and Analog, Broadband, and Narrow-Band Seismometers
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The objective of our study is to supplement the regional P / S 3-D velocity model in the Reno basin with shear-wave velocity models derived from ambient noise interferometry (Aki 1957; Claerbout 1968; Shapiro et al. 2005; Sabra et al. 2005; Lin et al. 2008; Yang et al. 2008). We use a variety of seismic sensors in the Reno-Carson area (Figure 1). There is a gap for demonstrated extraction of Green's functions (GFs) from ambient noise between short and long interstation distances. The lateral resolution of existing tomographic models exceeds the dimensions of the Reno basin area (?60 km2), and their depth resolution is larger than the Reno basin depth to basement (<3 km). GFs have been recently retrieved in the western United States from data recorded at broadband sensors, such as the EarthScope Transportable Array (TA) deployment (Figure 1C) with lateral resolution of 60–100 km (Yang et al. 2008; Lin et al. 2008) and for periods exceeding 8 s ( i.e. , sampling more than 8 km deep). Using the Re-Mi methods, noise-extracted Rayleigh waves for local shallow shear-wave velocity studies provided information on structure less than 0.2 km from the surface (Scott et al. 2004). In order to estimate P and S velocity models deeper than 3 km, earthquake tomography was until recently the only cost effective alternative to active source experiments (Frary et al. 2009). The body-wave tomographic studies in the Reno basin (Preston and von Seggern 2008) do not allow precise control of the velocity or depth of shallow structures in the basin, due to low resolution in the upper 3 km. Another disadvantage of body-wave tomography is the high level of uncertainty in the S -arrival time picks. GF extraction from noise cross-correlations at scales less than 60 …
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