P063-10
Towards Joint Inversion of Geophysical Datasets in Planetary Analog Studies

Tuesday, 15 December 2020: 04:27
Virtual
Doyeon Kim1, Vedran Lekic2, Nicholas C Schmerr3, Jacob A Richardson4, Ernest Bell5, Sajad Jazayeri6, Kelsey Young4, Rebecca R Ghent7 and The GEODES SSERVI Team, (1)University of Maryland College Park, Department of Geology, College Park, MD, United States, (2)University of Maryland, Department of Geology, College Park, MD, United States, (3)University of Maryland College Park, College Park, MD, United States, (4)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (5)University of Maryland, Department of Geology, Maryland, United States, (6)University of South Florida Tampa, Tampa, FL, United States, (7)University of Toronto, Toronto, ON, Canada
Abstract:
Planetary analog studies allow assessment and refinement of geophysical methods for planetary exploration. The San Francisco Volcanic Field (SFVF) has been selected as a lunar analog for geophysical study by NASA’s Geophysical Exploration of the Dynamics and Evolution of the Solar Systems (GEODES) SSERVI. Geophysical methods at the lunar surface will be a key component of identifying buried geologic units and characterizing the lunar regolith. Our initial goal is to develop and evaluate an active seismic imaging approach that can maximize the full range of seismic waveform data while quantifying uncertainties of inferred subsurface properties. From this foundation, we are developing an inversion framework that enables straightforward incorporation of complementary geophysical datasets including gravity and magnetic field data. In this study, we present a hybrid, waveform inversion approach called Epicycle Waveform Information Extraction (EWIE) for obtaining subsurface information from seismic waveforms. The algorithm is based on a transdimensional Bayesian inversion of both body and surface wave measurements, along with accurate waveform predictions using a 2D pseudo-spectral method. Since full waveform simulations are computationally expensive, individual iterations are sped up by using multiple levels of approximation, including 1D surface wave kernels, 3D ray-tracing methods, and linearized traveltime predictions. Our Voronoi parameterization of the model can recover complex geometries while allowing straightforward extension to other geophysical datasets. As a first step, we test our approach with a synthetic target model that mimics observed geological features as well as the geometry of an active seismic survey carried out in the SFVF. The development of this method and its validation in a planetary analog environment will inform capabilities and field strategies in future geophysical explorations of planetary bodies including upcoming lunar science missions.
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