Imaging Yellowstone’s Melt Distribution With Full Waveform Inversion of Ambient Noise
Session: Advances in Seismic Interferometry: Theory, Computation and Applications [Poster]
Type: Poster
Date: 4/22/2021
Presentation Time: 11:30 AM Pacific
Description:
The Yellowstone hotspot hosts a complex crustal magmatic system that drives hydrothermal activity, seismicity, and periodic ground deformation. Seismic tomography has constrained the presence of a partially molten magma reservoir at middle-to-upper crustal depths centered below the Yellowstone caldera, but key aspects of the system such as the total volume and distribution of melt remain open questions. Interpretations of previous tomographic images of Yellowstone are complicated by an incomplete understanding of how large crustal magmatic systems affect seismic waveforms. In particular, tomographic studies based on asymptotic methods may underestimate the seismic wave speed anomaly of the magma reservoir because first arriving energy may be diffracted around strong low wave speed anomalies. Compared to asymptotic methods, full waveform inversion approaches enable improved resolution since they incorporate more accurate sensitivity kernels based on realistic wave propagation physics. Here, we present the initial iterations of a new ambient noise dataset based full waveform inversion of Yellowstone’s crust and uppermost mantle. Our starting model, which is based on inverting Rayleigh wave dispersion measurements of vertical component noise correlation functions, shares many key features with previous tomography results, including a roughly 10% slow shear wave speed anomaly centered below the Yellowstone caldera. The continued iterations of the full waveform inversion promise to sharpen features in the model and more accurately recover the strength of the anomaly associated with Yellowstone’s crustal magmatic system, which is critical for understanding the volume and distribution of melt.
Presenting Author: Ross R. Maguire
Student Presenter: No
Authors
Ross Maguire Presenting Author Corresponding Author maguir12@msu.edu Michigan State University |
Min Chen chenmi22@msu.edu Michigan State University |
Brandon Schmandt bschmandt@unm.edu University of New Mexico |
Chengxin Jiang chengxin.jiang1@anu.edu.au Australian National University |
Justin Wilgus jwilgus@unm.edu University of New Mexico |
Jiaqi Li lijiaqi9@msu.edu Michigan State University |
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Imaging Yellowstone’s Melt Distribution With Full Waveform Inversion of Ambient Noise
Category
Advances in Seismic Interferometry: Theory, Computation and Applications