California-Nevada Adjoint Simulations adjoint waveform tomography model
This model describes radially anisotropic P- and S-wave speeds for California and Nevada based on publicly available broadband data. CANVAS was determined by optimizing the fit between observed and synthetic data for moderate-magnitude (Mw 4.5-6.5) earthquakes that occurred within its domain. CANVAS effectively predicts waveform fits down to minimum periods of 12 seconds.
Doody, C., Rodgers, A., Afanasiev, M., Boehm, C., Krischer, L., Chiang, A., & Simmons, N. (2023). CANVAS: An adjoint waveform tomography model of California and Nevada. Journal of Geophysical Research: Solid Earth, 128(12). https://doi.org/10.1029/2023JB027583
Doody, C. (2023). Dataset for 'CANVAS: An adjoint waveform tomography model of California and Nevada' [Data set]. In Journal of Geophysical Research: Solid Earth (Vol. 128, Number 12). Zenodo. https://doi.org/10.5281/zenodo.8415562
This package is intended to be installed as part of the UCVM framework, version 25.7 or higher.
The library ./lib/libcanvas.a may be statically linked into any user application. Also, if your system supports dynamic linking, you will also have a ./lib/libcanvas.so file that can be used for dynamic linking. The header file defining the API is located in ./include/canvas.h.
If you would like to contact the authors regarding this software, please e-mail [email protected]. Note this e-mail address should be used for questions regarding the software itself (e.g. how do I link the library properly?). Questions regarding the model's science (e.g. on what paper is the CANVAS based?) should be directed to the model's authors, located in the AUTHORS file.
- (rho = 0.31Vp**0.25), Density is calculated from Gardner’s equation
- A right rectangle bounding box, no rotation