2014
DOI: 10.1785/0220140093
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Testing Waveform Predictions of 3D Velocity Models against Two Recent Los Angeles Earthquakes

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Cited by 39 publications
(25 citation statements)
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“…Roughly speaking, RWM < 1 indicates a good waveform fit, whereas RWM > 1 indicates a poor fit [Lee et al, 2014]. We computed the RWMs for 43,496 earthquake waveforms, 10,853 Rayleigh waves on ANGF-high ambient-noise correlagrams, and 12,581 Rayleigh waves on ANGF-low ambient-noise correlagrams.…”
Section: Model Assessmentmentioning
confidence: 99%
“…Roughly speaking, RWM < 1 indicates a good waveform fit, whereas RWM > 1 indicates a poor fit [Lee et al, 2014]. We computed the RWMs for 43,496 earthquake waveforms, 10,853 Rayleigh waves on ANGF-high ambient-noise correlagrams, and 12,581 Rayleigh waves on ANGF-low ambient-noise correlagrams.…”
Section: Model Assessmentmentioning
confidence: 99%
“…We used the SCEC (Southern California Earthquake Center) community velocity model CVM-S (version 4.26) [Magistrale et al, 2000;Lee et al, 2014] and the UCVM framework (Unified Community Velocity Model) [Gill et al, 2013] to generate a structural model representative of the conditions within the Landers fault system. The structural model includes small-scale heterogeneities [e.g., Savran and Olsen, 2016] and a low-velocity zone (LVZ) around the fault ( Figure S2 in the supporting information).…”
Section: Generation Of Crustal Modelmentioning
confidence: 99%
“…The centroid‐moment tensors of all but two of the sources were refined by Lee, Chen, Jordan, Maechling, et al (, Figure 1) during the full 3‐D tomographic inversions to obtain model CVM‐S4.26. The centroid‐moment tensors of the two exceptions, the 2014 Encino ( M W 4.4) and La Habra ( M W 5.1) earthquakes, were later reinverted by Lee, Chen, and Jordan () using the finalized CVM‐S4.26 structure. We confined the raypaths to the crust by restricting the epicentral distances to less than 150 km for P waves and 144 km for S waves, which is shorter than the mantle refraction crossover distances in most parts of Southern California (Hadley & Kanamori, ).…”
Section: Data Analysis and Inversionmentioning
confidence: 99%