Articles | Volume 20, issue 9
https://doi.org/10.5194/tc-20-5327-2026
https://doi.org/10.5194/tc-20-5327-2026
Research article
 | 
21 Sep 2026
Research article |  | 21 Sep 2026

Substantial accumulation rates on a glacier avalanche cone from time-lapse photogrammetry and field measurements

Marin Kneib, Patrick Wagnon, Laurent Arnaud, Louise Balmas, Olivier Laarman, Bruno Jourdain, Amaury Dehecq, Emmanuel Lemeur, Fanny Brun, Andrea Kneib-Walter, Ilaria Santin, Laurane Charrier, Thierry Faug, Giulia Mazzotti, Antoine Rabatel, Delphine Six, and Daniel Farinotti

Data sets

Data for 'Substantial accumulation rates on a glacier avalanche cone from time-lapse photogrammetry and field measurements' M. Kneib https://doi.org/10.5281/zenodo.22712764

Model code and software

py4dgeo: library for change analysis in 4D point clouds py4dgeo Development Core Team https://github.com/3dgeo-heidelberg/py4dgeo

xDEM version 0.2 xDEM contributors https://doi.org/10.5281/zenodo.19636034

MarinKneib/TimeLapse_photogrammetry: TLphotogrammetry_v0.0.1 M. Kneib https://doi.org/10.5281/zenodo.22800142

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Short summary
Avalanches are vital for glacier survival, yet their impact is difficult to quantify. We used low-cost cameras and drones to monitor an avalanche cone in the French Alps for two years. By accounting for ice flow, we found that avalanches can deposit 30 meters of snow annually – 50 times more than normal snowfall. This high-frequency data reveals that these cones fill until reaching a specific steepness, after which new snow slides further down to the base.
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