Modelling the three-dimensional, diagnostic fabric anisotropy field of an ice rise
Polar ice develops anisotropic crystal orientation fabrics under deformation, yet ice is mostly modelled as an isotropic fluid. We present three-dimensional simulations of the crystal orientation fabric of Derwael Ice Rise including the surrounding ice shelf using a crystal orientation tensor evolut...
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Cambridge University Press
2025-01-01
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| Series: | Journal of Glaciology |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S0022143025000140/type/journal_article |
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| author | A. Clara J. Henry Carlos Martín Reinhard Drews |
| author_facet | A. Clara J. Henry Carlos Martín Reinhard Drews |
| author_sort | A. Clara J. Henry |
| collection | DOAJ |
| description | Polar ice develops anisotropic crystal orientation fabrics under deformation, yet ice is mostly modelled as an isotropic fluid. We present three-dimensional simulations of the crystal orientation fabric of Derwael Ice Rise including the surrounding ice shelf using a crystal orientation tensor evolution equation corresponding to a fixed velocity field. We use a semi-Lagrangian numerical method that constrains the degree of crystal orientation evolution to solve the equations in complex flow areas. We perform four simulations based on previous studies, altering the rate of evolution of the crystal fabric anisotropy and its dependence on a combination of the strain rate and deviatoric stress tensors. We provide a framework for comparison with radar observations of the fabric anisotropy, outlining areas where the assumption of one vertical eigenvector may not hold and provide resulting errors in measured eigenvalues. We recognise the areas of high horizontal divergence at the ends of the flow divide as important areas to make comparisons with observations. Here, poorly constrained model parameters result in the largest difference in fabric type. These results are important in the planning of future campaigns for gathering data to constrain model parameters and as a link between observations and computationally efficient, simplified models of anisotropy. |
| format | Article |
| id | doaj-art-e6b589a449634580a1e45779c7ce79e2 |
| institution | OA Journals |
| issn | 0022-1430 1727-5652 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Journal of Glaciology |
| spelling | doaj-art-e6b589a449634580a1e45779c7ce79e22025-08-20T02:12:38ZengCambridge University PressJournal of Glaciology0022-14301727-56522025-01-017110.1017/jog.2025.14Modelling the three-dimensional, diagnostic fabric anisotropy field of an ice riseA. Clara J. Henry0https://orcid.org/0000-0003-3894-5117Carlos Martín1https://orcid.org/0000-0002-2661-169XReinhard Drews2https://orcid.org/0000-0002-2328-294XMax Planck Institute for Meteorology, Hamburg, Germany Department of Geosciences, University of Tübingen, Tübingen, GermanyBritish Antarctic Survey, Natural Environment Research Council, Cambridge, UKDepartment of Geosciences, University of Tübingen, Tübingen, GermanyPolar ice develops anisotropic crystal orientation fabrics under deformation, yet ice is mostly modelled as an isotropic fluid. We present three-dimensional simulations of the crystal orientation fabric of Derwael Ice Rise including the surrounding ice shelf using a crystal orientation tensor evolution equation corresponding to a fixed velocity field. We use a semi-Lagrangian numerical method that constrains the degree of crystal orientation evolution to solve the equations in complex flow areas. We perform four simulations based on previous studies, altering the rate of evolution of the crystal fabric anisotropy and its dependence on a combination of the strain rate and deviatoric stress tensors. We provide a framework for comparison with radar observations of the fabric anisotropy, outlining areas where the assumption of one vertical eigenvector may not hold and provide resulting errors in measured eigenvalues. We recognise the areas of high horizontal divergence at the ends of the flow divide as important areas to make comparisons with observations. Here, poorly constrained model parameters result in the largest difference in fabric type. These results are important in the planning of future campaigns for gathering data to constrain model parameters and as a link between observations and computationally efficient, simplified models of anisotropy.https://www.cambridge.org/core/product/identifier/S0022143025000140/type/journal_articleAnisotropic iceAntarcticacrystal orientationice-sheet modellingice rise |
| spellingShingle | A. Clara J. Henry Carlos Martín Reinhard Drews Modelling the three-dimensional, diagnostic fabric anisotropy field of an ice rise Journal of Glaciology Anisotropic ice Antarctica crystal orientation ice-sheet modelling ice rise |
| title | Modelling the three-dimensional, diagnostic fabric anisotropy field of an ice rise |
| title_full | Modelling the three-dimensional, diagnostic fabric anisotropy field of an ice rise |
| title_fullStr | Modelling the three-dimensional, diagnostic fabric anisotropy field of an ice rise |
| title_full_unstemmed | Modelling the three-dimensional, diagnostic fabric anisotropy field of an ice rise |
| title_short | Modelling the three-dimensional, diagnostic fabric anisotropy field of an ice rise |
| title_sort | modelling the three dimensional diagnostic fabric anisotropy field of an ice rise |
| topic | Anisotropic ice Antarctica crystal orientation ice-sheet modelling ice rise |
| url | https://www.cambridge.org/core/product/identifier/S0022143025000140/type/journal_article |
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