- G34A-07: Constraining On- and Off-Fault Nonlinear Dynamic Rupture Parameters via the First Hierarchical Bayesian Inversion of GNSS and Satellite Data for the 2019 Mw 7.1 Ridgecrest Earthquake
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NOLA CC
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Alice-Agnes Gabriel, Scripps Institution of Oceanography (First Author, Presenting Author)
Zihua Niu, Ludwig Maximilians University of Munich
Maximilian Kruse, Karlsruhe Institute of Technology
Linus Seelinger, Karlsruhe Institute of Technology
Nico Schliwa, Ludwig Maximilians University of Munich
Heiner Igel, Ludwig Maximilians University of Munich
Earthquake simulations help scientists understand how and why earthquakes occur. However, these simulations are computationally very demanding, often requiring extensive computing resources. In this study, we use advanced computational techniques to efficiently model the 2019 Ridgecrest earthquake, which occurred in California. By combining satellite data and GPS measurements, we run detailed simulations to study both fault behavior during the earthquake and how rocks around the fault deform and break.Our method significantly reduces the number of costly simulations required, allowing us to precisely quantify uncertainties and relationships between how faults slip and how surrounding rocks deform. We find a strong link between fault slip properties and surrounding rock deformation: areas with less frictional weakening on the fault coincide with areas where surrounding rocks experience more extensive damage. These findings align with geological evidence that suggests the fault is less mature and more fragmented in some regions.
We also identify a shallow slip deficit, where less fault slip occurs near the Earth's surface than deeper down, consistent with previous studies. Our results highlight the effectiveness of combining realistic earthquake simulations with observational data, providing a more accurate and comprehensive understanding of earthquake behavior and hazard potential.
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