Articles | Volume 19, issue 1
https://doi.org/10.5194/tc-19-1-2025
https://doi.org/10.5194/tc-19-1-2025
Research article
 | 
07 Jan 2025
Research article |  | 07 Jan 2025

New glacier thickness and bed topography maps for Svalbard

Ward van Pelt and Thomas Frank

Data sets

New glacier thickness and bed topography maps for Svalbard - Dataset Ward van Pelt and Thomas Frank https://doi.org/10.5281/zenodo.11239460

Model code and software

Deep learning speeds up ice flow modelling by several orders of magnitude (https://github.com/jouvetg/igm) G. Jouvet et al. https://doi.org/10.1017/jog.2021.120

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Short summary
Accurate information on the ice thickness of Svalbard's glaciers is important for assessing the contribution to sea level rise in a present and a future climate. However, direct observations of the glacier bed are scarce. Here, we use an inverse approach and high-resolution surface observations to infer basal conditions. We present and analyse the new bed and thickness maps, quantify the ice volume (6800 km3), and compare these against radar data and previous studies.