Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering

Observations in polar regions show that sea ice deformations are often narrow linear features. These long bands of deformations are referred to as Linear Kinematic Features (LKFs). Viscous‐plastic sea ice models have the capability to simulate LKFs and more generally sea ice deformations. Moreover,...

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Published in:Journal of Advances in Modeling Earth Systems
Main Authors: Mehlmann, C., Danilov, S., Losch, M., Lemieux, J. F., Hutter, N., Richter, T., Blain, P., Hunke, E. C., Korn, P., Danilov, S.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany, Losch, M.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany, Lemieux, J. F.; 3 Environnement et Changement Climatique Canada Recherche en Prévision Numérique Environnementale Dorval QC Canada, Hutter, N.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany, Richter, T.; 4 Otto‐von‐Guericke Universität Magdeburg Magdeburg Germany, Blain, P.; 5 Environnement et Changement Climatique Canada Service Météorologique du Canada Dorval QC Canada, Hunke, E. C.; 6 Los Alamos National Laboratory Los Alamos NM USA, Korn, P.; 1 Max‐Planck Institute for Meteorology Hamburg Germany
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.1029/2021MS002523
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9859
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author Mehlmann, C.
Danilov, S.
Losch, M.
Lemieux, J. F.
Hutter, N.
Richter, T.
Blain, P.
Hunke, E. C.
Korn, P.
Danilov, S.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany
Losch, M.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany
Lemieux, J. F.; 3 Environnement et Changement Climatique Canada Recherche en Prévision Numérique Environnementale Dorval QC Canada
Hutter, N.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany
Richter, T.; 4 Otto‐von‐Guericke Universität Magdeburg Magdeburg Germany
Blain, P.; 5 Environnement et Changement Climatique Canada Service Météorologique du Canada Dorval QC Canada
Hunke, E. C.; 6 Los Alamos National Laboratory Los Alamos NM USA
Korn, P.; 1 Max‐Planck Institute for Meteorology Hamburg Germany
author_facet Mehlmann, C.
Danilov, S.
Losch, M.
Lemieux, J. F.
Hutter, N.
Richter, T.
Blain, P.
Hunke, E. C.
Korn, P.
Danilov, S.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany
Losch, M.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany
Lemieux, J. F.; 3 Environnement et Changement Climatique Canada Recherche en Prévision Numérique Environnementale Dorval QC Canada
Hutter, N.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany
Richter, T.; 4 Otto‐von‐Guericke Universität Magdeburg Magdeburg Germany
Blain, P.; 5 Environnement et Changement Climatique Canada Service Météorologique du Canada Dorval QC Canada
Hunke, E. C.; 6 Los Alamos National Laboratory Los Alamos NM USA
Korn, P.; 1 Max‐Planck Institute for Meteorology Hamburg Germany
author_sort Mehlmann, C.
collection GEO-LEOe-docs (FID GEO)
container_issue 11
container_title Journal of Advances in Modeling Earth Systems
container_volume 13
description Observations in polar regions show that sea ice deformations are often narrow linear features. These long bands of deformations are referred to as Linear Kinematic Features (LKFs). Viscous‐plastic sea ice models have the capability to simulate LKFs and more generally sea ice deformations. Moreover, viscous‐plastic models simulate a larger number and more refined LKFs as the spatial resolution is increased. Besides grid spacing, other aspects of a numerical implementation, such as the placement of velocities and the associated degrees of freedom, may impact the formation of simulated LKFs. To explore these effects this study compares numerical solutions of sea ice models with different velocity staggering in a benchmark problem. Discretizations based on A‐,B‐, and C‐grid systems on quadrilateral meshes have similar resolution properties as an approximation with an A‐grid staggering on triangular grids (with the same total number of vertices). CD‐grid approximations with a given grid spacing have properties, specifically the number and length of simulated LKFs, that are qualitatively similar to approximations on conventional Arakawa A‐grid, B‐grid, and C‐grid approaches with half the grid spacing or less, making the CD‐discretization more efficient with respect to grid resolution. One reason for this behavior is the fact that the CD‐grid approach has a higher number of degrees of freedom to discretize the velocity field. The higher effective resolution of the CD‐discretization makes it an attractive alternative to conventional discretizations. Plain Language Summary: Sea ice in the Arctic and Antarctic Oceans plays an important role in the exchange of heat and freshwater between the atmosphere and the ocean and hence in the climate in general. Satellite observations of polar regions show that the ice drift sometimes produces long features that are either cracks (leads) and zones of thicker sea ice (pressure ridges). This phenomenon is called deformation. It is mathematically described by the non‐uniform way in ...
format Article in Journal/Newspaper
genre Antarc*
Antarctic
Arctic
Sea ice
genre_facet Antarc*
Antarctic
Arctic
Sea ice
geographic Antarctic
Arctic
geographic_facet Antarctic
Arctic
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language English
op_collection_id ftsubggeo
op_doi https://doi.org/10.1029/2021MS002523
op_relation doi:10.1029/2021MS002523
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9859
op_rights This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
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spelling ftsubggeo:oai:e-docs.geo-leo.de:11858/9859 2025-01-16T19:11:20+00:00 Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering Mehlmann, C. Danilov, S. Losch, M. Lemieux, J. F. Hutter, N. Richter, T. Blain, P. Hunke, E. C. Korn, P. Danilov, S.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Losch, M.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Lemieux, J. F.; 3 Environnement et Changement Climatique Canada Recherche en Prévision Numérique Environnementale Dorval QC Canada Hutter, N.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany Richter, T.; 4 Otto‐von‐Guericke Universität Magdeburg Magdeburg Germany Blain, P.; 5 Environnement et Changement Climatique Canada Service Météorologique du Canada Dorval QC Canada Hunke, E. C.; 6 Los Alamos National Laboratory Los Alamos NM USA Korn, P.; 1 Max‐Planck Institute for Meteorology Hamburg Germany 2021-10-28 https://doi.org/10.1029/2021MS002523 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9859 eng eng doi:10.1029/2021MS002523 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9859 This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. CC-BY-NC-ND ddc:550 ddc:551.343 doc-type:article 2021 ftsubggeo https://doi.org/10.1029/2021MS002523 2022-11-09T06:51:42Z Observations in polar regions show that sea ice deformations are often narrow linear features. These long bands of deformations are referred to as Linear Kinematic Features (LKFs). Viscous‐plastic sea ice models have the capability to simulate LKFs and more generally sea ice deformations. Moreover, viscous‐plastic models simulate a larger number and more refined LKFs as the spatial resolution is increased. Besides grid spacing, other aspects of a numerical implementation, such as the placement of velocities and the associated degrees of freedom, may impact the formation of simulated LKFs. To explore these effects this study compares numerical solutions of sea ice models with different velocity staggering in a benchmark problem. Discretizations based on A‐,B‐, and C‐grid systems on quadrilateral meshes have similar resolution properties as an approximation with an A‐grid staggering on triangular grids (with the same total number of vertices). CD‐grid approximations with a given grid spacing have properties, specifically the number and length of simulated LKFs, that are qualitatively similar to approximations on conventional Arakawa A‐grid, B‐grid, and C‐grid approaches with half the grid spacing or less, making the CD‐discretization more efficient with respect to grid resolution. One reason for this behavior is the fact that the CD‐grid approach has a higher number of degrees of freedom to discretize the velocity field. The higher effective resolution of the CD‐discretization makes it an attractive alternative to conventional discretizations. Plain Language Summary: Sea ice in the Arctic and Antarctic Oceans plays an important role in the exchange of heat and freshwater between the atmosphere and the ocean and hence in the climate in general. Satellite observations of polar regions show that the ice drift sometimes produces long features that are either cracks (leads) and zones of thicker sea ice (pressure ridges). This phenomenon is called deformation. It is mathematically described by the non‐uniform way in ... Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice GEO-LEOe-docs (FID GEO) Antarctic Arctic Journal of Advances in Modeling Earth Systems 13 11
spellingShingle ddc:550
ddc:551.343
Mehlmann, C.
Danilov, S.
Losch, M.
Lemieux, J. F.
Hutter, N.
Richter, T.
Blain, P.
Hunke, E. C.
Korn, P.
Danilov, S.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany
Losch, M.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany
Lemieux, J. F.; 3 Environnement et Changement Climatique Canada Recherche en Prévision Numérique Environnementale Dorval QC Canada
Hutter, N.; 2 Alfred‐Wegener‐Institut Helmholtz Zentrum für Polar‐ und Meeresforschung Bremerhaven Germany
Richter, T.; 4 Otto‐von‐Guericke Universität Magdeburg Magdeburg Germany
Blain, P.; 5 Environnement et Changement Climatique Canada Service Météorologique du Canada Dorval QC Canada
Hunke, E. C.; 6 Los Alamos National Laboratory Los Alamos NM USA
Korn, P.; 1 Max‐Planck Institute for Meteorology Hamburg Germany
Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering
title Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering
title_full Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering
title_fullStr Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering
title_full_unstemmed Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering
title_short Simulating Linear Kinematic Features in Viscous‐Plastic Sea Ice Models on Quadrilateral and Triangular Grids With Different Variable Staggering
title_sort simulating linear kinematic features in viscous‐plastic sea ice models on quadrilateral and triangular grids with different variable staggering
topic ddc:550
ddc:551.343
topic_facet ddc:550
ddc:551.343
url https://doi.org/10.1029/2021MS002523
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/9859