A high-resolution calving front data product for marine-terminating glaciers in Svalbard

Li, Tian; Heidler, Konrad; Mou, Lichao; Ignéczi, Ádám; Zhu, Xiao Xiang; Bamber, Jonathan L.

doi:https://doi.org/10.5194/essd-16-919-2024

Articles | Volume 16, issue 2

https://doi.org/10.5194/essd-16-919-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-16-919-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 2

Data description paper

|

20 Feb 2024

Data description paper |

| 20 Feb 2024

A high-resolution calving front data product for marine-terminating glaciers in Svalbard

Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, and Jonathan L. Bamber

Data sets

Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023 Tian Li et al. https://doi.org/10.5281/zenodo.10407266

Model code and software

Charting Outlines by Recurrent Adaptation (COBRA) Konrad Heidler https://doi.org/10.5281/zenodo.8407566

Short summary

Our study uses deep learning to produce a new high-resolution calving front dataset for 149 marine-terminating glaciers in Svalbard from 1985 to 2023, containing 124 919 terminus traces. This dataset offers insights into understanding calving mechanisms and can help improve glacier frontal ablation estimates as a component of the integrated mass balance assessment.