Glacier surge monitoring from temporally dense elevation time series: application to an ASTER dataset over the Karakoram region

Beraud, Luc; Brun, Fanny; Dehecq, Amaury; Hugonnet, Romain; Shekhar, Prashant

doi:https://doi.org/10.5194/tc-19-5075-2025

Articles | Volume 19, issue 10

https://doi.org/10.5194/tc-19-5075-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-19-5075-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 10

Research article

|

27 Oct 2025

Research article |

| 27 Oct 2025

Glacier surge monitoring from temporally dense elevation time series: application to an ASTER dataset over the Karakoram region

Luc Beraud, Fanny Brun, Amaury Dehecq, Romain Hugonnet, and Prashant Shekhar

Supplement

https://doi.org/10.5194/tc-19-5075-2025-supplement

Data sets

Data and code for the publication of a surge-specific DEM workflow on ASTER DEMs. Luc Beraud et al. https://doi.org/10.5281/zenodo.14045604

Model code and software

Data and code for the publication of a surge-specific DEM workflow on ASTER DEMs. Luc Beraud et al. https://doi.org/10.5281/zenodo.14045604

Short summary

This study introduces a new workflow to process the elevation time series of glacier surges, an ice flow instability. Applied to a dense, 20-year satellite dataset of glacier surface elevation, the method filters and interpolates these changes on a monthly scale, revealing detailed patterns and estimates of mass transport. The dataset produced by this method allows for a more accurate and a remarkably detailed description of glacier surges at the scale of a large region.