Poster #189, SCEC Community Models (CXM)
Methodology for producing hybrid Earth models with improved waveform predictions near the southern San Andreas fault and updates to SCEC UCVM API
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Poster Presentation
2020 SCEC Annual Meeting, Poster #189, SCEC Contribution #10660 VIEW PDF
ion ratios. Afterward, we smoothly embed our basin models developed using active-source seismic data into the best versions of the derived community models. We then similarly benchmark each hybrid model. The hybrid model subspace comprises a suite of models with varying embedding volume and smoothing boundary ratios. Using the relative waveform misfit functional to evaluate all model subspace, we find that our hybrid models outperform CVM-S 4.26 and CVM-H 15.1. Our hybrid model currently represents the best model in the Salton Trough available for higher frequency updates and hazard assessment. These research findings also support the development of local Earth models that are becoming increasingly popular with dense seismic arrays. Local models can be produced with relatively lower computational resources and embedded into the community models to create hybrid models with better waveform prediction ability.
To facilitate our research, we developed a C model blending library that enables the definition of standard window functions like the Cosine taper or Ormsby filter on arbitrary support polygons defined on regular grids. With this new tool, we can smoothly embed local models into regional models in non-cuboid volumes using regular gridded data formats. The volume of the embedded model can be, in principle, arbitrarily shaped to a certain degree. We implemented our library to UCVM and updated the API, thereby fostering the reproducibility and rapid construction of complex hybrid Earth models to improve earthquake hazard assessment.
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To facilitate our research, we developed a C model blending library that enables the definition of standard window functions like the Cosine taper or Ormsby filter on arbitrary support polygons defined on regular grids. With this new tool, we can smoothly embed local models into regional models in non-cuboid volumes using regular gridded data formats. The volume of the embedded model can be, in principle, arbitrarily shaped to a certain degree. We implemented our library to UCVM and updated the API, thereby fostering the reproducibility and rapid construction of complex hybrid Earth models to improve earthquake hazard assessment.
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