Constraining Floating Ice Shelf Structures by Spectral Response of Teleseismic P‐Wave Coda: Ross Ice Shelf, Antarctica

Abstract

The recent deployment of a broadband seismic array on the floating ice shelf in the Antarctica's Ross sea presents a great opportunity to study the shelf structure using broadband seismic data. In this study, we develop a further improvement of the P‐wave coda autocorrelation method, which proved capable of characterizing grounded ice‐cap structures. Ice shelves are floating ice sheets connected to a landmass, and in order to decipher their structures, a water layer has to be added to the problem. We construct the power spectrum stacks of P‐wave coda data, waveform records that immediately follow P arrivals, in the spectral domain, which are equivalent, via a Fourier transform, to widely used autocorrelograms in the time domain. At half of temporary seismic stations under consideration, we report prominent resonant peaks in the spectral autocorrelograms, associated with the ice‐water configuration of the ice shelf. The lack of clear resonant pattern for the rest of the stations is suspected due to a high noise level in the icy environment and significant lateral heterogeneity at the local scale. Subsequently, we develop a formalism to explain the observed resonance and devise a grid‐search scheme to estimate ice‐ and water‐thicknesses underneath the stations. Our water‐thickness estimates agree well with the previously documented measurements, but there is a discrepancy in the ice thickness results. Therefore, the method has a great potential to complement the existing ice‐shelf model, to be used in future monitoring applications of ice shelves, or near‐future space exploration to icy planets.

Seismic Autocorrelation Analysis of Deep Mars

“…This was later extended to elastic media and non‐normal incidence cases (Frasier, 1970). Autocorrelation analysis of single‐station seismic recordings (e.g., ambient noise, coda waves) has been widely employed to extract body‐wave reflection phases to reveal the subsurface structures of the Earth (Delph et al., 2019; Gorbatov et al., 2013; Kennett, 2015; Oren & Nowack, 2017; Phạm & Tkalčić, 2018, 2021; Qin et al., 2020; She et al., 2022; Tibuleac & von Seggern, 2012; Zhou & Zhang, 2021) and Moon (Nishitsuji et al., 2016, 2020). Recent autocorrelation analysis on Mars detected a strong P‐wave reflection phase at 10.5–11.5 s two‐way traveltime (Compaire et al., 2021; Deng & Levander, 2020; Schimmel et al., 2021).…”