A statistical fracture model for Antarctic glaciers

Antarctic and Greenland hold more than 99 % of all fresh water on Earth and, therefore, can significantly influence global sea level. Predicting future ice sheet mass balance depends upon ice sheet modelling, but it is limited by knowledge of a number of processes, some of which are still poorly und...

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Main Authors: Emetc, Veronika, Tregoning, Paul, Sambridge, Malcolm
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/tc-2017-98
https://tc.copernicus.org/preprints/tc-2017-98/
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spelling ftcopernicus:oai:publications.copernicus.org:tcd59239 2023-05-15T13:54:27+02:00 A statistical fracture model for Antarctic glaciers Emetc, Veronika Tregoning, Paul Sambridge, Malcolm 2018-09-26 application/pdf https://doi.org/10.5194/tc-2017-98 https://tc.copernicus.org/preprints/tc-2017-98/ eng eng doi:10.5194/tc-2017-98 https://tc.copernicus.org/preprints/tc-2017-98/ eISSN: 1994-0424 Text 2018 ftcopernicus https://doi.org/10.5194/tc-2017-98 2020-07-20T16:23:43Z Antarctic and Greenland hold more than 99 % of all fresh water on Earth and, therefore, can significantly influence global sea level. Predicting future ice sheet mass balance depends upon ice sheet modelling, but it is limited by knowledge of a number of processes, some of which are still poorly understood. One such process is the calving of the ice shelves, where blocks of ice break off from the ice front. However, large scale ice flow models do not include an accurate representation of this process and the most commonly used damage mechanics and fracture mechanics methods have a large number of uncertainties. Here we present an alternative, statistics-based method to model the most probable zones of nucleation of fractures. We test our theory on all main ice shelf regions in Antarctica, including the Antarctic Peninsula. We can model up to 99 % of observed fractures, with an average rate of 77 % which represents a 50 % improvement over previously used damage-based approaches, thus providing the basis for modelling calving of ice shelves. We found that classifying Antarctic ice shelf regions based on the factors that controlled fracture formation led to grouping of ice shelves/glaciers with similar physical characteristics and geometry. Text Antarc* Antarctic Antarctic Peninsula Antarctica Greenland Ice Sheet Ice Shelf Ice Shelves Copernicus Publications: E-Journals Antarctic Antarctic Peninsula Greenland The Antarctic
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Antarctic and Greenland hold more than 99 % of all fresh water on Earth and, therefore, can significantly influence global sea level. Predicting future ice sheet mass balance depends upon ice sheet modelling, but it is limited by knowledge of a number of processes, some of which are still poorly understood. One such process is the calving of the ice shelves, where blocks of ice break off from the ice front. However, large scale ice flow models do not include an accurate representation of this process and the most commonly used damage mechanics and fracture mechanics methods have a large number of uncertainties. Here we present an alternative, statistics-based method to model the most probable zones of nucleation of fractures. We test our theory on all main ice shelf regions in Antarctica, including the Antarctic Peninsula. We can model up to 99 % of observed fractures, with an average rate of 77 % which represents a 50 % improvement over previously used damage-based approaches, thus providing the basis for modelling calving of ice shelves. We found that classifying Antarctic ice shelf regions based on the factors that controlled fracture formation led to grouping of ice shelves/glaciers with similar physical characteristics and geometry.
format Text
author Emetc, Veronika
Tregoning, Paul
Sambridge, Malcolm
spellingShingle Emetc, Veronika
Tregoning, Paul
Sambridge, Malcolm
A statistical fracture model for Antarctic glaciers
author_facet Emetc, Veronika
Tregoning, Paul
Sambridge, Malcolm
author_sort Emetc, Veronika
title A statistical fracture model for Antarctic glaciers
title_short A statistical fracture model for Antarctic glaciers
title_full A statistical fracture model for Antarctic glaciers
title_fullStr A statistical fracture model for Antarctic glaciers
title_full_unstemmed A statistical fracture model for Antarctic glaciers
title_sort statistical fracture model for antarctic glaciers
publishDate 2018
url https://doi.org/10.5194/tc-2017-98
https://tc.copernicus.org/preprints/tc-2017-98/
geographic Antarctic
Antarctic Peninsula
Greenland
The Antarctic
geographic_facet Antarctic
Antarctic Peninsula
Greenland
The Antarctic
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
Greenland
Ice Sheet
Ice Shelf
Ice Shelves
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
Greenland
Ice Sheet
Ice Shelf
Ice Shelves
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-2017-98
https://tc.copernicus.org/preprints/tc-2017-98/
op_doi https://doi.org/10.5194/tc-2017-98
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