Open dansand opened 3 months ago
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Model Submitter:
Dan Sandiford (0000-0002-2207-6837)
Model Creator(s):
Model slug:
sachau-2022-icesheet
(this will be the name of the model repository when created)
Model name:
ISMIP-HOM benchmark experiments using Underworld
License:
Creative Commons Attribution 4.0 International
Model Category:
Model Status:
Associated Publication title:
ISMIP-HOM benchmark experiments using Underworld
Short description:
Knowledge of the internal structures of the major continental ice sheets is improving, thanks to new investigative techniques. These structures are an essential indication of the flow behavior and dynamics of ice transport, which in turn is important for understanding the actual impact of the vast amounts of water trapped in continental ice sheets on global sea-level rise. The software studied here is specifically designed to simulate such structures and their evolution.
Abstract:
Abstract. 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.
Scientific Keywords:
Funder(s):
No embargo on model contents requested
Include model code:
True
Model code existing URL/DOI:
https://doi.org/10.5281/zenodo.7384424
Include model output data:
True
Model output data, existing URL/DOI:
https://doi.org/10.5281/zenodo.7384424
Software Framework DOI/URL:
Found software: Underworld2: Python Geodynamics Modelling for Desktop, HPC and Cloud
Name of primary software framework:
Underworld2: Python Geodynamics Modelling for Desktop, HPC and Cloud
Software & algorithm keywords:
Landing page image:
Filename: gmd-15-8749-2022-f09.png
Caption: Marker lines prior to (a) and after 750 years of flow of (b) isotropic and (c) anisotropic ice. The axial plane of the resulting shear fold in isotropic ice mimics the bedrock topography, while it is controlled by shearing along a horizontal shear zone in the case of anisotropic ice. Green: bedrock, flow to the right.
Animation:
Filename: []()
Graphic abstract:
Filename: graphic_abstract.png
Caption: Velocity field and strain rate field in isotropic ice (1) and inisotropic ice (2). Large strain rates and velocities occur in the vicinity of the bottleneck formed by the crest of the hill. Green: bedrock. For velocity, red is 70 m a−1 and blue is 0 m a−1. For strain rate, red is 0.032 $a^{−1}$, and blue is 0 $a^{−1}$.
Model setup figure:
Filename: gmd-15-8749-2022-f01-web.png
Caption: (a) 2D geometry of Experiment B. This is identical to a section parallel X located at yˆ = 0.25 in Experiment A (right). Sloping angle α is given in degrees. Also depicted is the velocity field of the flowing ice, resulting for a model width L of 5000 m from the simulations described below. Color and arrow length visualize the amount of velocity. (b) Bedrock topography for Experiment A and general naming scheme for the axes of 3D experiments.
Associated Publication Error fetching metadata with application/ld+json from https://api.crossref.org/works/https://doi.org/10.5194/gmd-15-8749-2022: 406 Client Error: Not Acceptable for url: https://api.crossref.org/works/https://doi.org/10.5194/gmd-15-8749-2022 Software Framework DOI/URI doi.org metadata record succesfully extracted in json-ld format Software Repository Warning: no repository URL provided. Submitter ORCID metadata record succesfully extracted in json-ld format
Model creators ORCID metadata record succesfully extracted in json-ld format ORCID metadata record succesfully extracted in json-ld format
Justin Lang
in unexpected format. Expected last name(s), first name(s)
or ORCID.
ORCID metadata record succesfully extracted in json-ld format
ORCID metadata record succesfully extracted in json-ld format
Could not parse Embargo date. Check format isModel setup description Warning: No description given
model_reviewers
team has approved the model, we will create a repository for your model A review of this submission has been requested from @ModelAtlasofTheEarth/model_reviewers
Model repository created at https://github.com/ModelAtlasofTheEarth/sachau-2022-icesheet
-> submitter ORCID (or name)
0000-0002-2207-6837
-> slug
sachau-2022-icesheet
-> license
CC-BY-4.0
-> alternative license URL
No response
-> model category
community benchmark, forward model
-> model status
completed
-> associated publication DOI
https://doi.org/10.5194/gmd-15-8749-2022
-> model creators
0000-0002-3790-1385 0000-0002-8628-3704 Justin Lang 0000-0002-6469-3526 https://orcid.org/0000-0003-3685-174X
-> title
No response
-> description
Knowledge of the internal structures of the major continental ice sheets is improving, thanks to new investigative techniques. These structures are an essential indication of the flow behavior and dynamics of ice transport, which in turn is important for understanding the actual impact of the vast amounts of water trapped in continental ice sheets on global sea-level rise. The software studied here is specifically designed to simulate such structures and their evolution.
-> abstract
No response
-> scientific keywords
ice-sheet, benchmark, Stokes, anisotropy, mechanical
-> funder
https://ror.org/04s1m4564 https://ror.org/03a1kwz48
-> model embargo?
No response
-> include model code ?
-> model code/inputs DOI
https://doi.org/10.5281/zenodo.7384424
-> model code/inputs notes
No response
-> include model output data?
-> data creators
No response
-> model output data DOI
https://doi.org/10.5281/zenodo.7384424
-> model output data notes
No response
-> model output data size
2.9 Mb
-> software framework DOI/URI
https://doi.org/10.5281/zenodo.5935717
-> software framework source repository
No response
-> name of primary software framework (e.g. Underworld, ASPECT, Badlands, OpenFOAM)
No response
-> software framework authors
No response
-> software & algorithm keywords
Python, Finite-Element, Particle-in-cell
-> computer URI/DOI
No response
-> add landing page image and caption
Marker lines prior to (a) and after 750 years of flow of (b) isotropic and (c) anisotropic ice. The axial plane of the resulting shear fold in isotropic ice mimics the bedrock topography, while it is controlled by shearing along a horizontal shear zone in the case of anisotropic ice. Green: bedrock, flow to the right.
-> add an animation (if relevant)
No response
-> add a graphic abstract figure (if relevant)
Velocity field and strain rate field in isotropic ice (1) and inisotropic ice (2). Large strain rates and velocities occur in the vicinity of the bottleneck formed by the crest of the hill. Green: bedrock. For velocity, red is 70 m a−1 and blue is 0 m a−1. For strain rate, red is 0.032 $a^{−1}$, and blue is 0 $a^{−1}$.
-> add a model setup figure (if relevant)
(a) 2D geometry of Experiment B. This is identical to a section parallel X located at yˆ = 0.25 in Experiment A (right). Sloping angle α is given in degrees. Also depicted is the velocity field of the flowing ice, resulting for a model width L of 5000 m from the simulations described below. Color and arrow length visualize the amount of velocity. (b) Bedrock topography for Experiment A and general naming scheme for the axes of 3D experiments.
-> add a description of your model setup
No response
Please provide any feedback on the model submission process?
No response