SCISP.1.CCFs.tar.gz

This project contains the datasets needed to produce the radially anisotropic crustal shear-wave velocity model in a manuscript submited for publicaiton with Journal of Geophysicsl Research - Solid Earth. <br> The tar.gz file has the following files: <br> T-T.CCFs: Love wave cross-correlation functions (CCFs) Z-Z.CCFs: Rayleigh wave CCFs readme readme stns.txt station coordinates <br> Each of the T-T.CCFs and Z-Z.CCFs folders contains the final stacked CCFs between all available station pairs, e.g., COR_S003_S005.SAC COR_S003_S007.SAC ... ... <br> The CCF file name show the names of station pairs (e.g., S003, S005, S007). <br> With these cross-functions, following a standard ambient noise inversion procedure, i.e., measuring surface wave dispersion for both Rayleigh and Love waves, developing dispersion models for both waves, and appying a joint inverting, the radial anisotropic crustal shear wave model presented in our study can be reproduced. For details of the method, readers are referred to the following papers: Bodin, T., and M. Sambridge (2009), Seismic tomography with the reversible jump algorithm, <em>Geophysical Journal International</em>, <em>178</em>(3), 1411-1436, doi:10.1111/j.1365-246X.2009.04226.x. <br> Yuan, H., and T. Bodin (2018), A probabilistic shear wave velocity model of the crust in the central West Australian Craton constrained by transdimensional inversion of ambient noise dispersion, <em>Tectonics</em>, <em>37</em>(7), 1994-2012. <br> <br> <br> The two datasets are the only data needed to produce the model in our study.