Abstract We used measurements of radar-detected stratigraphy, surface ice-flow velocities and accumulation rates to investigate relationships between local valley-glacier and regional ice-sheet dynamics in and around the Schmidt Hills, Pensacola Mountains, Antarctica. Ground-penetrating radar profiles were collected perpendicular to the long axis of the Schmidt Hills and the margin of Foundation Ice Stream (FIS). Within the valley confines, the glacier consists of blue ice, and profiles show internal stratigraphy dipping steeply toward the nunataks and truncated at the present-day ablation surface. Below the valley confines, the blue ice is overlain by firn. Data show that upward-progressing overlap of actively accumulating firn onto valley-glacier ice is slightly less than ice flow out of the valleys over the past ∼1200 years. The apparent slightly negative mass balance (-0.25 cm a -1 ) suggests that ice-margin elevations in the Schmidt Hills may have lowered over this time period, even without a change in the surface elevation of FIS. Results suggest that (1) mass-balance gradients between local valley glaciers and regional ice sheets should be considered when using local information to estimate regional ice surface elevation changes; and (2) interpretation of shallow ice structures imaged with radar can provide information about local ice elevation changes and stability.
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This content will become publicly available on December 18, 2026
Using Physics-Informed Neural Networks to Constrain Ice Viscosity From Ice-Penetrating Radar Data
Ice rises are slow moving areas of grounded ice adjacent to ice shelves, where ice flows outwards from a flow center that is independent of the rest of the ice sheet. Not only do these grounded regions provide buttressing forces that enhance ice-shelf stability, but their relative flow stability and isolation also make them ideal locations for extracting ice-core climate records and for reconstructing regional millenial-scale ice flow changes from internal radiostratigraphy. However, dating ice cores and flow changes recorded in radiostratigraphy can require knowledge of ice-rise flow and rheology, both of which are poorly constrained; models employing a standard rheological parameterization often fail to reproduce observed vertical velocities derived from ice-penetrating radar. These discrepancies highlight the need for improved constraints on the rheological properties of ice within ice rises. We present an inversion technique built around physics-informed neural networks (PINNs) using the DIFFICE.jax package to infer ice viscosity directly using observations from a phase-sensitive ice-penetrating radar observations and the mass and momentum balance equations. First, we use a mass balance equation to obtain velocity and ice density profiles from the radar observations. These velocities and densities are subsequently used with a full-Stokes momentum balance equation to obtain estimates for ice pressure and viscosity. We demonstrate the functionality of our inversion approach using synthetic data, and apply it to ice-penetrating radar data from the Weddell Sea Sector of Antarctica. This work will reveal the spatial variability in ice viscosity within these ice rises, for the first time, improving ice rheology parameterizations and ultimately improving how we reconstruct past climate change with ice cores and glaciological change with ice-rise internal stratigraphy.
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- Award ID(s):
- 2349621
- PAR ID:
- 10664937
- Publisher / Repository:
- American Geophysical Union
- Date Published:
- Format(s):
- Medium: X
- Location:
- New Orleans
- Sponsoring Org:
- National Science Foundation
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