EGU26-11727, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-11727
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Wednesday, 06 May, 11:40–11:50 (CEST)
 
Room 1.34
Modelling the evolution of Dronning Maud Land, Antarctica across the last interglacial-glacial cycle – insights from isochrone modelling.
Vjeran Višnjević1,2, Julien Bodart1,2, Antoine Hermant1,2, Emma Spezia1,2, Christian Wirths1,2, and Johannes Sutter1,2
Vjeran Višnjević et al.
  • 1Climate and environmental physics, University of Bern, Bern, Switzerland
  • 2Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland

Reconstructions of Antarctica's past ice-sheet evolution remain poorly constrained due to sparse, spatially discontinuous proxies, limiting accurate projections of its future sea-level contribution. Here we present a novel isochronally-constrained reconstruction of Dronning Maud Land (DML), East Antarctica spanning the last interglacial-glacial cycle (~130 kyr), integrating extensive radar-derived internal reflection horizons (IRHs) with PISM ice-sheet simulations.

IRHs preserve continuous records of past accumulation, flow, and basal conditions, providing unprecedented spatiotemporal constraints for model validation. Our ensemble simulations indicate that DML’s sea-level potential change between interglacial and glacial states is comparable to, and likely larger than, the contribution of all modern mountain glaciers, and show that variations in geothermal flux alone can substantially alter sea-level projections. These results provide physical modelling context of East Antarctica's ice history, reveal DML's role in Last Interglacial sea-level rise, and highlight persistent parameterization uncertainties limiting future projections.

How to cite: Višnjević, V., Bodart, J., Hermant, A., Spezia, E., Wirths, C., and Sutter, J.: Modelling the evolution of Dronning Maud Land, Antarctica across the last interglacial-glacial cycle – insights from isochrone modelling., EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11727, https://doi.org/10.5194/egusphere-egu26-11727, 2026.