S018-0002
High-Resolution Lithospheric Structures Beneath Central California Revealed by Two-Dimensional Linear-Array Ambient-Noise Adjoint Tomography
Abstract:
One of the purposes of the Central California Seismic Experiment (CCSE) is to distinguish these two hypotheses. Previous tomographic studies (Jiang et al 2018) highlighted a low-velocity anomaly in the crust and the high-velocity Isabella anomaly in the upper mantle. In this study, we apply the two-dimensional linear-array ambient-noise adjoint tomography method (Chao et al. 2017) to the quasi-linear CCSE array across the Isabella anomaly and perform a two-dimensional full-waveform inversions.
We process continuous seismic data recorded in 2013-2015 from the CCSE array following the standard procedures of Bensen et al. (2007) to obtain cross-correlation functions between all station pairs based on the NoisePy package (Jiang et al., 2020). Then, we use the stacked noise cross-correlation functions to extract the empirical Green’s functions (EGF) by following a 3D to 2D transformation to accommodate the differences between 3D and 2D Green functions. The multi-scale frequency-dependent travel-time misfits between EGFs and simulated 2D Green’s function are minimized at the four period bands of 20-50 s, 15-25s, 10-20s, and 6-15s based on the adjoint method (Tape et al. 2007) to update the S-velocity model iteratively. We finally obtain a high-resolution S-velocity model from the surface down to 60 km along the two-dimensional profile. The recovered model shows detailed crustal structures including low-velocity anomalies in the shallow crust and the high-velocity Isabella anomaly consistent with previous results and provides the basis for a more detailed geological interpretation.