Articles | Volume 12, issue 10
https://doi.org/10.5194/tc-12-3187-2018
https://doi.org/10.5194/tc-12-3187-2018
Research article
 | 
05 Oct 2018
Research article |  | 05 Oct 2018

A statistical fracture model for Antarctic ice shelves and glaciers

Veronika Emetc, Paul Tregoning, Mathieu Morlighem, Chris Borstad, and Malcolm Sambridge

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Latest update: 03 Jul 2025
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Short summary
The paper includes a model that can be used to predict zones of fracture formation in both floating and grounded ice in Antarctica. We used observations and a statistics-based model to predict fractures in most ice shelves in Antarctica as an alternative to the damage-based approach. We can predict the location of observed fractures with an average success rate of 84% for grounded ice and 61% for floating ice and mean overestimation error of 26% and 20%, respectively.
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