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Testing Time-Distance Inversions Using Numerical Simulation Data. Junwei Zhao, Konstantin V. Parchevsky , Thomas Hartlep , & Alexander G. Kosovichev W.W.Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA94305-4085. Different Models.
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Testing Time-Distance Inversions Using Numerical Simulation Data Junwei Zhao, Konstantin V. Parchevsky, Thomas Hartlep, & Alexander G. Kosovichev W.W.Hansen Experimental Physics Laboratory, Stanford University, Stanford, CA94305-4085
Different Models • Local wavefield simulations: (by Konstantin Parchevsky) • 1. one-piece sound-speed perturbation model: • i. Shallow perturbation • ii. Deep perturbation • 2. two-layer model • Global wavefield simulations: (by Thomas Hartlep) • One whole globe simulations, with multiple active regions with various models employed.
The Model We use numerical simulations to get surface wavefields, and then measure travel times, invert the interior structures, and compare the inversion results with the original models. We prescribe a subsurface sound-speed perturbation model following: Then we select two sets of different parameters: shallow perturbation case with ε=0.15, D=1Mm, and R=20Mm, and a deep perturbation case with ε=0.10, D=10Mm, and R=20Mm. A quiet Sun with no sound-speed perturbations was also simulated as a reference.
Comparing Expected Travel Times with Measured Travel Times: Shallow Case
Comparing Expected Travel Times with Measured Travel Times: Deep Case
Global Wavefield Simulations with Multiple Active Regions
Conclusion Time-distance pipeline inversion code is working well, but not perfectly. We are still working to improve it, although not sure how much we can improve.