Exploiting high-slip flow regimes to improve inference of glacier bed topography

Theory and observation show that glacier-flow regimes characterized by high basal slip enhance the projection of topographic detail to the surface, motivating this investigation into the efficacy of using glacier surges to improve bed estimation. Here we adapt a Bayesian inversion scheme and apply i...

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Main Authors: Alexi Morin, Gwenn E. Flowers, Andrew Nolan, Douglas Brinkerhoff, Etienne Berthier
Format: Article
Language:English
Published: Cambridge University Press 2023-06-01
Series:Journal of Glaciology
Subjects:
Online Access:https://www.cambridge.org/core/product/identifier/S0022143022001216/type/journal_article
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author Alexi Morin
Gwenn E. Flowers
Andrew Nolan
Douglas Brinkerhoff
Etienne Berthier
author_facet Alexi Morin
Gwenn E. Flowers
Andrew Nolan
Douglas Brinkerhoff
Etienne Berthier
author_sort Alexi Morin
collection DOAJ
description Theory and observation show that glacier-flow regimes characterized by high basal slip enhance the projection of topographic detail to the surface, motivating this investigation into the efficacy of using glacier surges to improve bed estimation. Here we adapt a Bayesian inversion scheme and apply it to real and synthetic data as a proof of concept. Synthetic tests show a reduction in mean RMSE between true and inferred beds by more than half, and an increase in the mean correlation coefficient of ~0.5, when data from slip- versus deformation-dominated regimes are used. Multi-epoch inversions, which partition slip- and deformation-dominated regimes, are shown to outperform inversions that average over these flow regimes thereby squandering information. Tests with real data from a surging glacier in Yukon, Canada, corroborate these results, while highlighting the challenges of limited or inconsistent data. With the growing torrent of satellite-based observations, fast-flow events such as glacier surges offer potential to improve bed estimation for some of the world's most dynamic glaciers.
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spelling doaj.art-0ab5dcedba164d308a19b867807b9ca42023-05-23T11:53:18ZengCambridge University PressJournal of Glaciology0022-14301727-56522023-06-016965866410.1017/jog.2022.121Exploiting high-slip flow regimes to improve inference of glacier bed topographyAlexi Morin0https://orcid.org/0000-0002-4185-2002Gwenn E. Flowers1https://orcid.org/0000-0002-3574-9324Andrew Nolan2https://orcid.org/0000-0002-9785-0196Douglas Brinkerhoff3Etienne Berthier4https://orcid.org/0000-0001-5978-9155Department of Earth Sciences, Simon Fraser University, Burnaby, British Columbia, CanadaDepartment of Earth Sciences, Simon Fraser University, Burnaby, British Columbia, CanadaDepartment of Earth Sciences, Simon Fraser University, Burnaby, British Columbia, CanadaDepartment of Computer Science, University of Montana, Missoula, Montana, USALEGOS, Université de Toulouse, CNES, CNRS, IRD, UPS, 31400 Toulouse, FranceTheory and observation show that glacier-flow regimes characterized by high basal slip enhance the projection of topographic detail to the surface, motivating this investigation into the efficacy of using glacier surges to improve bed estimation. Here we adapt a Bayesian inversion scheme and apply it to real and synthetic data as a proof of concept. Synthetic tests show a reduction in mean RMSE between true and inferred beds by more than half, and an increase in the mean correlation coefficient of ~0.5, when data from slip- versus deformation-dominated regimes are used. Multi-epoch inversions, which partition slip- and deformation-dominated regimes, are shown to outperform inversions that average over these flow regimes thereby squandering information. Tests with real data from a surging glacier in Yukon, Canada, corroborate these results, while highlighting the challenges of limited or inconsistent data. With the growing torrent of satellite-based observations, fast-flow events such as glacier surges offer potential to improve bed estimation for some of the world's most dynamic glaciers.https://www.cambridge.org/core/product/identifier/S0022143022001216/type/journal_articleGlacier modellingglacier surgesice dynamicsice thickness measurementsmountain glaciers
spellingShingle Alexi Morin
Gwenn E. Flowers
Andrew Nolan
Douglas Brinkerhoff
Etienne Berthier
Exploiting high-slip flow regimes to improve inference of glacier bed topography
Journal of Glaciology
Glacier modelling
glacier surges
ice dynamics
ice thickness measurements
mountain glaciers
title Exploiting high-slip flow regimes to improve inference of glacier bed topography
title_full Exploiting high-slip flow regimes to improve inference of glacier bed topography
title_fullStr Exploiting high-slip flow regimes to improve inference of glacier bed topography
title_full_unstemmed Exploiting high-slip flow regimes to improve inference of glacier bed topography
title_short Exploiting high-slip flow regimes to improve inference of glacier bed topography
title_sort exploiting high slip flow regimes to improve inference of glacier bed topography
topic Glacier modelling
glacier surges
ice dynamics
ice thickness measurements
mountain glaciers
url https://www.cambridge.org/core/product/identifier/S0022143022001216/type/journal_article
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