Preprints
https://doi.org/10.5194/egusphere-2026-2357
https://doi.org/10.5194/egusphere-2026-2357
29 Apr 2026
 | 29 Apr 2026
Status: this preprint is open for discussion and under review for The Cryosphere (TC).

Improved subglacial boundary conditions near Dome C, Antarctica, through rigorous integration of multi-campaign radar data and an ensemble stochastic simulation approach

Calvin Shackleton, Kenichi Matsuoka, Brett Fraysher, Joohan Lee, Jørgen Dall, Allain Rapadas, Prasad Gogineni, Drew Taylor, Hyeon Tae Ju, Changhyun Chung, and Anders Kusk

Abstract. Subglacial bed topography is a fundamental boundary condition for ice-sheet flow, basal thermal regimes, and the preservation of palaeoclimate records, yet it remains highly uncertain across Antarctica. We use stochastic simulation methods to generate an ensemble of gridded (500 m) ice thickness and bed elevation near Dome C, and map bed elevation uncertainty accounting for impacts of data availability and basal roughness. New airborne radar measurements uncover previously undocumented sectors of the ice-bed interface and we integrate these with existing data using a rigorous approach to ensure nearby measurement compatibility. Our simulated bed shows improved representation of basal roughness between survey profiles, revealing regional roughness over 50 % higher than previous interpolations. We apply the ensemble to investigate uncertainty in meltwater routing, identifying well-constrained drainage away from the Dome C Plateau but poorly constrained outflow from Concordia Lake and parts of the Belgica Highlands. Topographic focussing of geothermal heat predicts local anomalies up to ±30 % relative to the regional value, and several ice core drill sites are in a zone of 12 % locally-reduced geothermal heating which is favourable for deep ice layer preservation. This work demonstrates that the critical subglacial bed boundary condition is better represented by ensemble-based, stochastic simulations based on strictly cross-validated data rather than single deterministic interpolations, and simulated beds can improve the reliability of analyses with robust consideration of uncertainties in data-sparse regions.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
Share
Calvin Shackleton, Kenichi Matsuoka, Brett Fraysher, Joohan Lee, Jørgen Dall, Allain Rapadas, Prasad Gogineni, Drew Taylor, Hyeon Tae Ju, Changhyun Chung, and Anders Kusk

Status: open (until 10 Jun 2026)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Calvin Shackleton, Kenichi Matsuoka, Brett Fraysher, Joohan Lee, Jørgen Dall, Allain Rapadas, Prasad Gogineni, Drew Taylor, Hyeon Tae Ju, Changhyun Chung, and Anders Kusk
Calvin Shackleton, Kenichi Matsuoka, Brett Fraysher, Joohan Lee, Jørgen Dall, Allain Rapadas, Prasad Gogineni, Drew Taylor, Hyeon Tae Ju, Changhyun Chung, and Anders Kusk
Metrics will be available soon.
Latest update: 29 Apr 2026
Download
Short summary
We map new details of the landscape beneath the Antarctic Ice Sheet near Dome C using radar data and simulation methods. The terrain is rougher than previously thought, and we identify where water flow is either well or poorly understood. We also show that valleys and ridges could amplify or reduce geothermal heating, impacting melting at the ice sheet base. These results improve confidence in locating sites where ancient ice may be preserved for drilling and studying past climates.
Share