Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets

Abstract One of the largest contributors to uncertainty in predictions of sea-level rise from ice-sheet models is a lack of knowledge about the bed topography beneath ice sheets. Bed topography maps are normally made by interpolating between linear radar surveys using methods that include kriging, m...

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Published in:Journal of Glaciology
Main Authors: Ockenden, Helen, Bingham, Robert G, Curtis, Andrew, Goldberg, Daniel
Other Authors: Natural Environment Research Council, National Science Foundation
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2023
Subjects:
Online Access:http://dx.doi.org/10.1017/jog.2023.50
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143023000503
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spelling crcambridgeupr:10.1017/jog.2023.50 2024-06-16T07:34:06+00:00 Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets Ockenden, Helen Bingham, Robert G Curtis, Andrew Goldberg, Daniel Natural Environment Research Council Natural Environment Research Council Natural Environment Research Council Natural Environment Research Council Natural Environment Research Council National Science Foundation 2023 http://dx.doi.org/10.1017/jog.2023.50 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143023000503 en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Journal of Glaciology page 1-10 ISSN 0022-1430 1727-5652 journal-article 2023 crcambridgeupr https://doi.org/10.1017/jog.2023.50 2024-05-22T12:55:56Z Abstract One of the largest contributors to uncertainty in predictions of sea-level rise from ice-sheet models is a lack of knowledge about the bed topography beneath ice sheets. Bed topography maps are normally made by interpolating between linear radar surveys using methods that include kriging, mass conservation and flowline diffusion, all of which may miss influential mesoscale (2–30 km) bedforms. Previous works have explored an Ice-Flow Perturbation Analysis (IFPA) approach for estimating bed topography using the surface expression of these mesoscale bedforms. Using regions of Pine Island Glacier that have been intensively surveyed by ice-penetrating radar as test sites, and a refined IFPA methodology, we find that IFPA detects bedforms capable of influencing ice flow which are not represented in Bedmachine Antarctica and other interpolated bed products. We further explore the ability of IFPA to estimate relative bed slipperiness, finding higher slipperiness in the main trunk and tributaries. Alongside other methods which estimate ice thickness, bed topography maps from IFPA have the potential to constrain projections of future sea-level rise, especially where radar data are sparse. Article in Journal/Newspaper Antarc* Antarctica Ice Sheet Journal of Glaciology Pine Island Pine Island Glacier Cambridge University Press Pine Island Glacier ENVELOPE(-101.000,-101.000,-75.000,-75.000) Journal of Glaciology 1 10
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
description Abstract One of the largest contributors to uncertainty in predictions of sea-level rise from ice-sheet models is a lack of knowledge about the bed topography beneath ice sheets. Bed topography maps are normally made by interpolating between linear radar surveys using methods that include kriging, mass conservation and flowline diffusion, all of which may miss influential mesoscale (2–30 km) bedforms. Previous works have explored an Ice-Flow Perturbation Analysis (IFPA) approach for estimating bed topography using the surface expression of these mesoscale bedforms. Using regions of Pine Island Glacier that have been intensively surveyed by ice-penetrating radar as test sites, and a refined IFPA methodology, we find that IFPA detects bedforms capable of influencing ice flow which are not represented in Bedmachine Antarctica and other interpolated bed products. We further explore the ability of IFPA to estimate relative bed slipperiness, finding higher slipperiness in the main trunk and tributaries. Alongside other methods which estimate ice thickness, bed topography maps from IFPA have the potential to constrain projections of future sea-level rise, especially where radar data are sparse.
author2 Natural Environment Research Council
Natural Environment Research Council
Natural Environment Research Council
Natural Environment Research Council
Natural Environment Research Council
National Science Foundation
format Article in Journal/Newspaper
author Ockenden, Helen
Bingham, Robert G
Curtis, Andrew
Goldberg, Daniel
spellingShingle Ockenden, Helen
Bingham, Robert G
Curtis, Andrew
Goldberg, Daniel
Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets
author_facet Ockenden, Helen
Bingham, Robert G
Curtis, Andrew
Goldberg, Daniel
author_sort Ockenden, Helen
title Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets
title_short Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets
title_full Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets
title_fullStr Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets
title_full_unstemmed Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets
title_sort ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets
publisher Cambridge University Press (CUP)
publishDate 2023
url http://dx.doi.org/10.1017/jog.2023.50
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143023000503
long_lat ENVELOPE(-101.000,-101.000,-75.000,-75.000)
geographic Pine Island Glacier
geographic_facet Pine Island Glacier
genre Antarc*
Antarctica
Ice Sheet
Journal of Glaciology
Pine Island
Pine Island Glacier
genre_facet Antarc*
Antarctica
Ice Sheet
Journal of Glaciology
Pine Island
Pine Island Glacier
op_source Journal of Glaciology
page 1-10
ISSN 0022-1430 1727-5652
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1017/jog.2023.50
container_title Journal of Glaciology
container_start_page 1
op_container_end_page 10
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