Affiliation:
1. School of Resources and Geosciences China University of Mining and Technology Xuzhou China
2. Hubei Subsurface Multi‐scale Imaging Key Laboratory, School of Geophysics and Geomatics China University of Geosciences (Wuhan) Wuhan China
3. Guangdong Provincial Key Laboratory of Geophysical High‐resolution Imaging Technology Southern University of Science and Technology Shenzhen China
4. Department of Earth and Space Sciences Southern University of Science and Technology Shenzhen China
Abstract
AbstractIn the past decades, several gridded datasets of the Antarctic ice sheet have been proposed, which provide important information for detailed modeling of the Antarctic ice sheet. In addition to the radio‐echo sounding method, passive seismological methods have become increasingly popular in recent years to reveal ice sheet properties. But the impact of complex subglacial topography on these methods has not been discussed. In this study, the influence of subglacial topography on teleseismic P‐wave coda autocorrelation was first analyzed. As the dip angle of the ice‐rock interface increased, the time difference caused by the dipping interface became significant. We then demonstrated an approach to estimate the dip parameters of ice bed and ice properties. A test at a pilot station (BYRD) in west Antarctica indicated that the dip parameters estimated by the method are reliable. Finally, it was applied to 65 over‐ice stations in three experiments (TAMSEIS, GAMSEIS, and POLENET). Dip parameters of the ice‐rock interface were well estimated. The azimuths concurred with those extracted from Bedmap2 and BedMachine, while several dip angles were larger at quite a few stations. The valleys revealed in this study are deeper and the mountains are higher. Our in situ results prove the improvements of BedMachine, but the ice bed slope might have been underestimated in some regions. The single‐station passive seismic approach can contribute to new models of the Antarctic ice sheet. The dip parameters and ice sheet properties obtained in this study may assist in other studies, such as ice sheet modeling.
Funder
National Natural Science Foundation of China
Publisher
American Geophysical Union (AGU)
Subject
Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics