Polarimetric radar reveals the spatial distribution of ice fabric at domes and divides in East Antarctica

Ice crystals are mechanically and dielectrically anisotropic. They progressively align under cumulative deformation, forming an ice-crystal-orientation fabric that, in turn, impacts ice deformation. However, almost all the observations of ice fabric are from ice core analysis, and its influence on t...

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Published in:The Cryosphere
Main Authors: M. R. Ershadi, R. Drews, C. Martín, O. Eisen, C. Ritz, H. Corr, J. Christmann, O. Zeising, A. Humbert, R. Mulvaney
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/tc-16-1719-2022
https://doaj.org/article/ed73e4453ef8493d84a64e8249fe194d
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spelling ftdoajarticles:oai:doaj.org/article:ed73e4453ef8493d84a64e8249fe194d 2023-05-15T13:30:24+02:00 Polarimetric radar reveals the spatial distribution of ice fabric at domes and divides in East Antarctica M. R. Ershadi R. Drews C. Martín O. Eisen C. Ritz H. Corr J. Christmann O. Zeising A. Humbert R. Mulvaney 2022-05-01T00:00:00Z https://doi.org/10.5194/tc-16-1719-2022 https://doaj.org/article/ed73e4453ef8493d84a64e8249fe194d EN eng Copernicus Publications https://tc.copernicus.org/articles/16/1719/2022/tc-16-1719-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-1719-2022 1994-0416 1994-0424 https://doaj.org/article/ed73e4453ef8493d84a64e8249fe194d The Cryosphere, Vol 16, Pp 1719-1739 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/tc-16-1719-2022 2022-12-31T00:09:37Z Ice crystals are mechanically and dielectrically anisotropic. They progressively align under cumulative deformation, forming an ice-crystal-orientation fabric that, in turn, impacts ice deformation. However, almost all the observations of ice fabric are from ice core analysis, and its influence on the ice flow is unclear. Here, we present a non-linear inverse approach to process co- and cross-polarized phase-sensitive radar data. We estimate the continuous depth profile of georeferenced ice fabric orientation along with the reflection ratio and horizontal anisotropy of the ice column. Our method approximates the complete second-order orientation tensor and all the ice fabric eigenvalues. As a result, we infer the vertical ice fabric anisotropy, which is an essential factor to better understand ice deformation using anisotropic ice flow models. The approach is validated at two Antarctic ice core sites (EPICA (European Project for Ice Coring in Antarctica) Dome C and EPICA Dronning Maud Land) in contrasting flow regimes. Spatial variability in ice fabric characteristics in the dome-to-flank transition near Dome C is quantified with 20 more sites located along with a 36 km long cross-section. Local horizontal anisotropy increases under the dome summit and decreases away from the dome summit. We suggest that this is a consequence of the non-linear rheology of ice, also known as the Raymond effect. On larger spatial scales, horizontal anisotropy increases with increasing distance from the dome. At most of the sites, the main driver of ice fabric evolution is vertical compression, yet our data show that the horizontal distribution of the ice fabric is consistent with the present horizontal flow. This method uses polarimetric-radar data, which are suitable for profiling radar applications and are able to constrain ice fabric distribution on a spatial scale comparable to ice flow observations and models. Article in Journal/Newspaper Antarc* Antarctic Antarctica Dronning Maud Land East Antarctica EPICA ice core The Cryosphere Directory of Open Access Journals: DOAJ Articles Antarctic East Antarctica Dronning Maud Land The Cryosphere 16 5 1719 1739
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
M. R. Ershadi
R. Drews
C. Martín
O. Eisen
C. Ritz
H. Corr
J. Christmann
O. Zeising
A. Humbert
R. Mulvaney
Polarimetric radar reveals the spatial distribution of ice fabric at domes and divides in East Antarctica
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description Ice crystals are mechanically and dielectrically anisotropic. They progressively align under cumulative deformation, forming an ice-crystal-orientation fabric that, in turn, impacts ice deformation. However, almost all the observations of ice fabric are from ice core analysis, and its influence on the ice flow is unclear. Here, we present a non-linear inverse approach to process co- and cross-polarized phase-sensitive radar data. We estimate the continuous depth profile of georeferenced ice fabric orientation along with the reflection ratio and horizontal anisotropy of the ice column. Our method approximates the complete second-order orientation tensor and all the ice fabric eigenvalues. As a result, we infer the vertical ice fabric anisotropy, which is an essential factor to better understand ice deformation using anisotropic ice flow models. The approach is validated at two Antarctic ice core sites (EPICA (European Project for Ice Coring in Antarctica) Dome C and EPICA Dronning Maud Land) in contrasting flow regimes. Spatial variability in ice fabric characteristics in the dome-to-flank transition near Dome C is quantified with 20 more sites located along with a 36 km long cross-section. Local horizontal anisotropy increases under the dome summit and decreases away from the dome summit. We suggest that this is a consequence of the non-linear rheology of ice, also known as the Raymond effect. On larger spatial scales, horizontal anisotropy increases with increasing distance from the dome. At most of the sites, the main driver of ice fabric evolution is vertical compression, yet our data show that the horizontal distribution of the ice fabric is consistent with the present horizontal flow. This method uses polarimetric-radar data, which are suitable for profiling radar applications and are able to constrain ice fabric distribution on a spatial scale comparable to ice flow observations and models.
format Article in Journal/Newspaper
author M. R. Ershadi
R. Drews
C. Martín
O. Eisen
C. Ritz
H. Corr
J. Christmann
O. Zeising
A. Humbert
R. Mulvaney
author_facet M. R. Ershadi
R. Drews
C. Martín
O. Eisen
C. Ritz
H. Corr
J. Christmann
O. Zeising
A. Humbert
R. Mulvaney
author_sort M. R. Ershadi
title Polarimetric radar reveals the spatial distribution of ice fabric at domes and divides in East Antarctica
title_short Polarimetric radar reveals the spatial distribution of ice fabric at domes and divides in East Antarctica
title_full Polarimetric radar reveals the spatial distribution of ice fabric at domes and divides in East Antarctica
title_fullStr Polarimetric radar reveals the spatial distribution of ice fabric at domes and divides in East Antarctica
title_full_unstemmed Polarimetric radar reveals the spatial distribution of ice fabric at domes and divides in East Antarctica
title_sort polarimetric radar reveals the spatial distribution of ice fabric at domes and divides in east antarctica
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/tc-16-1719-2022
https://doaj.org/article/ed73e4453ef8493d84a64e8249fe194d
geographic Antarctic
East Antarctica
Dronning Maud Land
geographic_facet Antarctic
East Antarctica
Dronning Maud Land
genre Antarc*
Antarctic
Antarctica
Dronning Maud Land
East Antarctica
EPICA
ice core
The Cryosphere
genre_facet Antarc*
Antarctic
Antarctica
Dronning Maud Land
East Antarctica
EPICA
ice core
The Cryosphere
op_source The Cryosphere, Vol 16, Pp 1719-1739 (2022)
op_relation https://tc.copernicus.org/articles/16/1719/2022/tc-16-1719-2022.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-16-1719-2022
1994-0416
1994-0424
https://doaj.org/article/ed73e4453ef8493d84a64e8249fe194d
op_doi https://doi.org/10.5194/tc-16-1719-2022
container_title The Cryosphere
container_volume 16
container_issue 5
container_start_page 1719
op_container_end_page 1739
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