Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets
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 conse...
Published in: | Journal of Glaciology |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Cambridge University Press
|
Subjects: | |
Online Access: | https://doi.org/10.1017/jog.2023.50 https://doaj.org/article/1171fde02da24611a0825f5e6df1e4dc |
id |
ftdoajarticles:oai:doaj.org/article:1171fde02da24611a0825f5e6df1e4dc |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:1171fde02da24611a0825f5e6df1e4dc 2023-08-27T04:06:17+02:00 Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets Helen Ockenden Robert G Bingham Andrew Curtis Daniel Goldberg https://doi.org/10.1017/jog.2023.50 https://doaj.org/article/1171fde02da24611a0825f5e6df1e4dc EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143023000503/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2023.50 0022-1430 1727-5652 https://doaj.org/article/1171fde02da24611a0825f5e6df1e4dc Journal of Glaciology, Pp 1-10 Antarctic glaciology ice-sheet modelling subglacial processes Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article ftdoajarticles https://doi.org/10.1017/jog.2023.50 2023-08-06T00:35:45Z 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* Antarctic Antarctica Ice Sheet Journal of Glaciology Pine Island Pine Island Glacier Directory of Open Access Journals: DOAJ Articles Antarctic Pine Island Glacier ENVELOPE(-101.000,-101.000,-75.000,-75.000) Journal of Glaciology 1 10 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Antarctic glaciology ice-sheet modelling subglacial processes Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
Antarctic glaciology ice-sheet modelling subglacial processes Environmental sciences GE1-350 Meteorology. Climatology QC851-999 Helen Ockenden Robert G Bingham Andrew Curtis Daniel Goldberg Ice-flow perturbation analysis: a method to estimate ice-sheet bed topography and conditions from surface datasets |
topic_facet |
Antarctic glaciology ice-sheet modelling subglacial processes Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
description |
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. |
format |
Article in Journal/Newspaper |
author |
Helen Ockenden Robert G Bingham Andrew Curtis Daniel Goldberg |
author_facet |
Helen Ockenden Robert G Bingham Andrew Curtis Daniel Goldberg |
author_sort |
Helen Ockenden |
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 |
url |
https://doi.org/10.1017/jog.2023.50 https://doaj.org/article/1171fde02da24611a0825f5e6df1e4dc |
long_lat |
ENVELOPE(-101.000,-101.000,-75.000,-75.000) |
geographic |
Antarctic Pine Island Glacier |
geographic_facet |
Antarctic Pine Island Glacier |
genre |
Antarc* Antarctic Antarctica Ice Sheet Journal of Glaciology Pine Island Pine Island Glacier |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet Journal of Glaciology Pine Island Pine Island Glacier |
op_source |
Journal of Glaciology, Pp 1-10 |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143023000503/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2023.50 0022-1430 1727-5652 https://doaj.org/article/1171fde02da24611a0825f5e6df1e4dc |
op_doi |
https://doi.org/10.1017/jog.2023.50 |
container_title |
Journal of Glaciology |
container_start_page |
1 |
op_container_end_page |
10 |
_version_ |
1775347092176240640 |