The Cryosphere
The Cryosphere
TC
Articles | Volume 19, issue 6
Articles | Volume 19, issue 6
https://doi.org/10.5194/tc-19-2133-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-19-2133-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 6
Research article
 | 
23 Jun 2025
Research article |  | 23 Jun 2025

Improved basal drag of the West Antarctic Ice Sheet from L-curve analysis of inverse models utilizing subglacial hydrology simulations

Lea-Sophie Höyns, Thomas Kleiner, Andreas Rademacher, Martin Rückamp, Michael Wolovick, and Angelika Humbert

Data sets

Inverse Model Results for WAIS L.-S. Höyns et al. https://doi.org/10.5281/zenodo.10974434

Inverse Model Results for Filchner-Ronne Catchment M. Wolovick et al. https://doi.org/10.5281/zenodo.7798650

Antarctic dataset in NetCDF format A. M. Le Brocq et al. https://doi.org/10.1594/PANGAEA.734145

MEaSUREs BedMachine Antarctica M. Morlighem https://doi.org/10.5067/E1QL9HFQ7A8M

MEaSUREs Antarctic Boundaries for IPY 2007-2009 from Satellite Radar J. Mouginot et al. https://doi.org/10.5067/AXE4121732AD

MEaSUREs InSAR-Based Antarctica Ice Velocity Map E. Rignot et al. https://doi.org/10.5067/D7GK8F5J8M8R

Model code and software

Inverse Model Results for WAIS L.-S. Höyns et al. https://doi.org/10.5281/zenodo.10974434

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Short summary
The sliding of glaciers over bedrock is influenced by water pressure in the underlying hydrological system and the roughness of the land underneath the glacier. We estimate this roughness through a modeling approach that optimizes this unknown parameter. Additionally, we simulate water pressure, enhancing the reliability of the computed drag at the ice sheet base. The resulting data are provided to other modelers and scientists conducting geophysical field observations.
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