Reanalysis of Polythermal Glacier Thermal Structure Using Radar Diffraction Focusing

Richard Delf*, Robert G. Bingham, Andrew Curtis, Satyan Singh, Antonios Giannopoulos, Benjamin Schwarz, Chris P. Borstad

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Ground-penetrating radar (GPR) is widely used on polythermal glaciers to image bed topography and detect internal scatter due to water inclusions in temperate ice. The glaciological importance of this is twofold: bed topography is a primary component for modeling the long-term evolution of glaciers and ice sheets, and the presence of temperate ice and associated englacial water significantly reduces overall ice viscosity. Englacial water has a direct influence on radar velocity, which can result in incorrect observations of bed topography due to errors in depth conversion. Assessment of radar velocities often requires multi-offset surveys, yet these are logistically challenging and time consuming to acquire, hence techniques to extract velocity from common-offset data are required. We calculate englacial radar velocity from common offset GPR data collected on Von Postbreen, a polythermal glacier in Svalbard. We first separate and enhance the diffracted wavefield by systematically assessing data coherence. We then use the focusing metric of negative entropy to deduce a migration velocity field and produce a velocity model which varies spatially across the glacier. We show that this velocity field successfully differentiates between areas of cold and temperate ice and can detect lateral variations in radar velocity close to the glacier bed. This velocity field results in consistently lower ice depths relative to those derived from a commonly assumed constant velocity, with an average difference of 4.9 ± 2.5% of local ice depth. This indicates that diffraction focusing and velocity estimation are crucial in retrieving correct bed topography in the presence of temperate ice.

Original languageEnglish
Article numbere2021JF006382
JournalJournal of Geophysical Research: Earth Surface
Volume127
Issue number2
Early online date15 Jan 2022
DOIs
Publication statusPublished - 4 Feb 2022

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