Articles | Volume 14, issue 3
https://doi.org/10.5194/esurf-14-361-2026
https://doi.org/10.5194/esurf-14-361-2026
Research article
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08 May 2026
Research article | Highlight paper |  | 08 May 2026

First Alps-wide reconstruction of LGM glacial sediment transport enabled by GPU-accelerated particle tracking

Tancrède P. M. Leger, Guillaume Jouvet, Sarah Kamleitner, Brandon D. Finley, Maxime Bernard, Balthazar Allegri, Frédéric Herman, Andreas Vieli, Andreas Henz, and Samuel U. Nussbaumer

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Editorial statement
The paper by Leger et al. presents a large-scale reconstruction of glacial sediment transport in the Alps, offering both novel insights and a versatile computational framework for investigating glacial processes at Quaternary time scales. The study's relevance spans paleo-glacier dynamics, sediment transport, and landscape evolution in alpine environments, making it highly valuable to geomorphologists, glacial geologists, and sedimentologists, as well as applied sectors. The developed model has the potential to unlock numerous key research questions relating to past and present glacier behavior.
Short summary
This study reconstructs for the first time the transport-pathways of sediments by glaciers during the last glaciation of the European Alps, 24000 years ago. This helps us understand how the European Alps were shaped by past glaciations and helps us better constrain the mechanisms of iceflow, glacier erosion and the movement of large sediment masses by ice.  This breakthrough is achieved by coupling a smart particle-tracking algorithm to a machine-learning-enhanced glacier evolution model.
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