Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice

The flow of glacial ice is typically approximated as a nonNewtonian viscous fluid, with the momentum balance described by (an approximation to) the Stokes equations, and the nonlinear rheology described by a flow law. The most commonly used rheological law for glacial ice, Glen's flow law, yiel...

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Main Authors: Constantijn J. Berends, Roderik S. W. van de Wal, Paul A. Zegeling
Format: Article
Language:English
Published: Cambridge University Press 2024-01-01
Series:Journal of Glaciology
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Online Access:https://www.cambridge.org/core/product/identifier/S0022143024000455/type/journal_article
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author Constantijn J. Berends
Roderik S. W. van de Wal
Paul A. Zegeling
author_facet Constantijn J. Berends
Roderik S. W. van de Wal
Paul A. Zegeling
author_sort Constantijn J. Berends
collection DOAJ
description The flow of glacial ice is typically approximated as a nonNewtonian viscous fluid, with the momentum balance described by (an approximation to) the Stokes equations, and the nonlinear rheology described by a flow law. The most commonly used rheological law for glacial ice, Glen's flow law, yields infinite viscosity in the case of zero deformation, which can be the case at the ice surface. This poses a problem when solving the momentum balance numerically. We show that two commonly-used discretisation schemes for the boundary conditions at the ice surface and base, which yield proper numerical convergence when applied to simpler problems, produce poor numerical convergence and large errors, when used to solve the momentum balance with Glen's flow law. We show that a discretisation scheme based on the concept of ghost nodes, which substitutes the boundary conditions directly into the momentum balance equations, yields second-order numerical convergence and errors that can be up to four orders of magnitude smaller. These results are robust across different momentum balance approximations. We show that the improved boundary conditions are particularly useful for solving the 3-D higher-order Blatter-Pattyn Approximation (BPA). In general, this work underlines the importance of thoroughly verifying the numerical solvers used in ice-sheet models, before applying them to future projections of ice-sheet mass loss.
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spelling doaj-art-687ce068548a448b9d431b28da52e1b42025-01-16T21:52:00ZengCambridge University PressJournal of Glaciology0022-14301727-56522024-01-017010.1017/jog.2024.45Improvements on the discretisation of boundary conditions to the momentum balance for glacial iceConstantijn J. Berends0https://orcid.org/0000-0002-2961-0350Roderik S. W. van de Wal1https://orcid.org/0000-0003-2543-3892Paul A. Zegeling2Institute for Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, The NetherlandsInstitute for Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, The Netherlands Faculty of Geosciences, Department of Physical Geography, Utrecht University, Utrecht, The NetherlandsFaculty of Science, Department of Mathematics, Utrecht University, Utrecht, The NetherlandsThe flow of glacial ice is typically approximated as a nonNewtonian viscous fluid, with the momentum balance described by (an approximation to) the Stokes equations, and the nonlinear rheology described by a flow law. The most commonly used rheological law for glacial ice, Glen's flow law, yields infinite viscosity in the case of zero deformation, which can be the case at the ice surface. This poses a problem when solving the momentum balance numerically. We show that two commonly-used discretisation schemes for the boundary conditions at the ice surface and base, which yield proper numerical convergence when applied to simpler problems, produce poor numerical convergence and large errors, when used to solve the momentum balance with Glen's flow law. We show that a discretisation scheme based on the concept of ghost nodes, which substitutes the boundary conditions directly into the momentum balance equations, yields second-order numerical convergence and errors that can be up to four orders of magnitude smaller. These results are robust across different momentum balance approximations. We show that the improved boundary conditions are particularly useful for solving the 3-D higher-order Blatter-Pattyn Approximation (BPA). In general, this work underlines the importance of thoroughly verifying the numerical solvers used in ice-sheet models, before applying them to future projections of ice-sheet mass loss.https://www.cambridge.org/core/product/identifier/S0022143024000455/type/journal_articleGlacial rheologyice dynamicsice-sheet modelling
spellingShingle Constantijn J. Berends
Roderik S. W. van de Wal
Paul A. Zegeling
Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice
Journal of Glaciology
Glacial rheology
ice dynamics
ice-sheet modelling
title Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice
title_full Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice
title_fullStr Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice
title_full_unstemmed Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice
title_short Improvements on the discretisation of boundary conditions to the momentum balance for glacial ice
title_sort improvements on the discretisation of boundary conditions to the momentum balance for glacial ice
topic Glacial rheology
ice dynamics
ice-sheet modelling
url https://www.cambridge.org/core/product/identifier/S0022143024000455/type/journal_article
work_keys_str_mv AT constantijnjberends improvementsonthediscretisationofboundaryconditionstothemomentumbalanceforglacialice
AT roderikswvandewal improvementsonthediscretisationofboundaryconditionstothemomentumbalanceforglacialice
AT paulazegeling improvementsonthediscretisationofboundaryconditionstothemomentumbalanceforglacialice