Reconstructing subglacial lake activity with an altimetry-based inverse method

Subglacial lake water-volume changes produce ice-elevation anomalies that provide clues about water flow beneath glaciers and ice sheets. Significant challenges remain in the quantitative interpretation of these elevation-change anomalies because the surface expression of subglacial lake activity de...

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Main Authors: Aaron G. Stubblefield, Colin R. Meyer, Matthew R. Siegfried, Wilson Sauthoff, Marc Spiegelman
Format: Article
Language:English
Published: Cambridge University Press 2023-12-01
Series:Journal of Glaciology
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Online Access:https://www.cambridge.org/core/product/identifier/S0022143023000904/type/journal_article
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author Aaron G. Stubblefield
Colin R. Meyer
Matthew R. Siegfried
Wilson Sauthoff
Marc Spiegelman
author_facet Aaron G. Stubblefield
Colin R. Meyer
Matthew R. Siegfried
Wilson Sauthoff
Marc Spiegelman
author_sort Aaron G. Stubblefield
collection DOAJ
description Subglacial lake water-volume changes produce ice-elevation anomalies that provide clues about water flow beneath glaciers and ice sheets. Significant challenges remain in the quantitative interpretation of these elevation-change anomalies because the surface expression of subglacial lake activity depends on basal conditions, rate of water-volume change, and ice rheology. To address these challenges, we introduce an inverse method that reconstructs subglacial lake activity from altimetry data while accounting for the effects of viscous ice flow. We use a linearized approximation of a Stokes ice-flow model under the assumption that subglacial lake activity only induces small perturbations relative to a reference ice-flow state. We validate this assumption by accurately reconstructing lake activity from synthetic data that are produced with a fully nonlinear model. We then apply the method to estimate the water-volume changes of several active subglacial lakes in Antarctica by inverting data from NASA's Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) laser altimetry mission. The results show that there can be substantial discrepancies (20% or more) between the inversion and traditional estimation methods due to the effects of viscous ice flow. The inverse method will help refine estimates of subglacial water transport and further constrain the role of subglacial hydrology in ice-sheet evolution.
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spelling doaj-art-2c1dc23b09004fac9d37eace0d0a93c52024-12-11T10:15:39ZengCambridge University PressJournal of Glaciology0022-14301727-56522023-12-01692139215310.1017/jog.2023.90Reconstructing subglacial lake activity with an altimetry-based inverse methodAaron G. Stubblefield0https://orcid.org/0000-0003-3949-934XColin R. Meyer1Matthew R. Siegfried2https://orcid.org/0000-0002-0868-4633Wilson Sauthoff3Marc Spiegelman4Thayer School of Engineering, Dartmouth College, Hanover, NH, USAThayer School of Engineering, Dartmouth College, Hanover, NH, USADepartment of Geophysics, Colorado School of Mines, Golden, CO, USA Hydrologic Science and Engineering Program, Colorado School of Mines, Golden, CO, USAHydrologic Science and Engineering Program, Colorado School of Mines, Golden, CO, USALamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA Department of Applied Physics and Applied Mathematics, Columbia University, New York, NY, USASubglacial lake water-volume changes produce ice-elevation anomalies that provide clues about water flow beneath glaciers and ice sheets. Significant challenges remain in the quantitative interpretation of these elevation-change anomalies because the surface expression of subglacial lake activity depends on basal conditions, rate of water-volume change, and ice rheology. To address these challenges, we introduce an inverse method that reconstructs subglacial lake activity from altimetry data while accounting for the effects of viscous ice flow. We use a linearized approximation of a Stokes ice-flow model under the assumption that subglacial lake activity only induces small perturbations relative to a reference ice-flow state. We validate this assumption by accurately reconstructing lake activity from synthetic data that are produced with a fully nonlinear model. We then apply the method to estimate the water-volume changes of several active subglacial lakes in Antarctica by inverting data from NASA's Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) laser altimetry mission. The results show that there can be substantial discrepancies (20% or more) between the inversion and traditional estimation methods due to the effects of viscous ice flow. The inverse method will help refine estimates of subglacial water transport and further constrain the role of subglacial hydrology in ice-sheet evolution.https://www.cambridge.org/core/product/identifier/S0022143023000904/type/journal_articleAntarctic glaciologyice-sheet modelingsubglacial lakessubglacial processes
spellingShingle Aaron G. Stubblefield
Colin R. Meyer
Matthew R. Siegfried
Wilson Sauthoff
Marc Spiegelman
Reconstructing subglacial lake activity with an altimetry-based inverse method
Journal of Glaciology
Antarctic glaciology
ice-sheet modeling
subglacial lakes
subglacial processes
title Reconstructing subglacial lake activity with an altimetry-based inverse method
title_full Reconstructing subglacial lake activity with an altimetry-based inverse method
title_fullStr Reconstructing subglacial lake activity with an altimetry-based inverse method
title_full_unstemmed Reconstructing subglacial lake activity with an altimetry-based inverse method
title_short Reconstructing subglacial lake activity with an altimetry-based inverse method
title_sort reconstructing subglacial lake activity with an altimetry based inverse method
topic Antarctic glaciology
ice-sheet modeling
subglacial lakes
subglacial processes
url https://www.cambridge.org/core/product/identifier/S0022143023000904/type/journal_article
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AT marcspiegelman reconstructingsubglaciallakeactivitywithanaltimetrybasedinversemethod