ISMIP-HOM benchmark experiments using Underworld
Numerical models have become an indispensable tool for understanding and predicting the flow of ice sheets and glaciers. Here we present the full-Stokes software package Underworld to the glaciological community. The code is already well established in simulating complex geodynamic systems. Advantag...
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ftcopernicus:oai:publications.copernicus.org:egusphere104576 2023-05-15T16:40:48+02:00 ISMIP-HOM benchmark experiments using Underworld Sachau, Till Yang, Haibin Lang, Justin Bons, Paul D. Moresi, Louis 2022-12-02 application/pdf https://doi.org/10.5194/egusphere-2022-492 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-492/ eng eng doi:10.5194/egusphere-2022-492 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-492/ eISSN: Text 2022 ftcopernicus https://doi.org/10.5194/egusphere-2022-492 2022-12-05T17:22:41Z Numerical models have become an indispensable tool for understanding and predicting the flow of ice sheets and glaciers. Here we present the full-Stokes software package Underworld to the glaciological community. The code is already well established in simulating complex geodynamic systems. Advantages for glaciology are that it provides a full-Stokes solution for elastic–viscous–plastic materials and includes mechanical anisotropy. Underworld uses a material point method to track the full history information of Lagrangian material points, of stratigraphic layers and of free surfaces. We show that Underworld successfully reproduces the results of other full-Stokes models for the benchmark experiments of the Ice Sheet Model Intercomparison Project for Higher-Order Models (ISMIP-HOM). Furthermore, we test finite-element meshes with different geometries and highlight the need to be able to adapt the finite-element grid to discontinuous interfaces between materials with strongly different properties, such as the ice–bedrock boundary. Text Ice Sheet Copernicus Publications: E-Journals |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
Numerical models have become an indispensable tool for understanding and predicting the flow of ice sheets and glaciers. Here we present the full-Stokes software package Underworld to the glaciological community. The code is already well established in simulating complex geodynamic systems. Advantages for glaciology are that it provides a full-Stokes solution for elastic–viscous–plastic materials and includes mechanical anisotropy. Underworld uses a material point method to track the full history information of Lagrangian material points, of stratigraphic layers and of free surfaces. We show that Underworld successfully reproduces the results of other full-Stokes models for the benchmark experiments of the Ice Sheet Model Intercomparison Project for Higher-Order Models (ISMIP-HOM). Furthermore, we test finite-element meshes with different geometries and highlight the need to be able to adapt the finite-element grid to discontinuous interfaces between materials with strongly different properties, such as the ice–bedrock boundary. |
format |
Text |
author |
Sachau, Till Yang, Haibin Lang, Justin Bons, Paul D. Moresi, Louis |
spellingShingle |
Sachau, Till Yang, Haibin Lang, Justin Bons, Paul D. Moresi, Louis ISMIP-HOM benchmark experiments using Underworld |
author_facet |
Sachau, Till Yang, Haibin Lang, Justin Bons, Paul D. Moresi, Louis |
author_sort |
Sachau, Till |
title |
ISMIP-HOM benchmark experiments using Underworld |
title_short |
ISMIP-HOM benchmark experiments using Underworld |
title_full |
ISMIP-HOM benchmark experiments using Underworld |
title_fullStr |
ISMIP-HOM benchmark experiments using Underworld |
title_full_unstemmed |
ISMIP-HOM benchmark experiments using Underworld |
title_sort |
ismip-hom benchmark experiments using underworld |
publishDate |
2022 |
url |
https://doi.org/10.5194/egusphere-2022-492 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-492/ |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
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eISSN: |
op_relation |
doi:10.5194/egusphere-2022-492 https://egusphere.copernicus.org/preprints/2022/egusphere-2022-492/ |
op_doi |
https://doi.org/10.5194/egusphere-2022-492 |
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1766031228252717056 |