An unstructured C-grid type variational formulation for the sea ice dynamics

Historically, B-grid formulations of sea ice dynamics have been dominant because they have matched the grid type used by ocean models. The reason for the grid match is simple - it facilitates penetration of the curl of ice-ocean stress into the deep ocean with minimal numerical diffusivity because s...

Full description

Bibliographic Details
Main Authors: Capodaglio, Giacomo, Petersen, Mark R., Turner, Adrian K., Roberts, Andrew F.
Format: Article in Journal/Newspaper
Language:unknown
Published: arXiv 2021
Subjects:
Online Access:https://dx.doi.org/10.48550/arxiv.2112.14993
https://arxiv.org/abs/2112.14993
id ftdatacite:10.48550/arxiv.2112.14993
record_format openpolar
spelling ftdatacite:10.48550/arxiv.2112.14993 2023-05-15T18:17:13+02:00 An unstructured C-grid type variational formulation for the sea ice dynamics Capodaglio, Giacomo Petersen, Mark R. Turner, Adrian K. Roberts, Andrew F. 2021 https://dx.doi.org/10.48550/arxiv.2112.14993 https://arxiv.org/abs/2112.14993 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Computational Physics physics.comp-ph FOS Physical sciences Article CreativeWork article Preprint 2021 ftdatacite https://doi.org/10.48550/arxiv.2112.14993 2022-03-10T13:26:53Z Historically, B-grid formulations of sea ice dynamics have been dominant because they have matched the grid type used by ocean models. The reason for the grid match is simple - it facilitates penetration of the curl of ice-ocean stress into the deep ocean with minimal numerical diffusivity because sea ice and ocean velocity are co-located. In recent years, as ocean models have increasingly progressed to C-grids, sea ice models have followed suit on quadrilateral meshes, but few if any implementations of unstructured C-grid sea ice models have been developed. We present an unstructured C-grid formulation of the elastic-viscous-plastic rheology, where the velocity unknowns are located at the edges rather than at the vertices, as in the B-grid. The mesh cells in our analysis have $n$ sides, with $n$ greater than or equal to four. Numerical results are also included to investigate the features of the proposed method. Our framework of choice is the Model for Prediction Across Scales (MPAS) within E3SM, the climate model of the U.S. Department of Energy, although our approach is general and could be applied to other models as well. While MPAS-Seaice is currently defined on a B-grid, MPAS-Ocean runs on a C-grid, hence interpolation operators are heavily used when coupled simulations are performed. The discretization introduced here aims at transitioning the dynamics of MPAS-Seaice to a C-grid, in order to ultimately facilitate the coupling with MPAS-Ocean and reduce numerical errors associated with this communication. Article in Journal/Newspaper Sea ice DataCite Metadata Store (German National Library of Science and Technology) Curl ENVELOPE(-63.071,-63.071,-70.797,-70.797)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Computational Physics physics.comp-ph
FOS Physical sciences
spellingShingle Computational Physics physics.comp-ph
FOS Physical sciences
Capodaglio, Giacomo
Petersen, Mark R.
Turner, Adrian K.
Roberts, Andrew F.
An unstructured C-grid type variational formulation for the sea ice dynamics
topic_facet Computational Physics physics.comp-ph
FOS Physical sciences
description Historically, B-grid formulations of sea ice dynamics have been dominant because they have matched the grid type used by ocean models. The reason for the grid match is simple - it facilitates penetration of the curl of ice-ocean stress into the deep ocean with minimal numerical diffusivity because sea ice and ocean velocity are co-located. In recent years, as ocean models have increasingly progressed to C-grids, sea ice models have followed suit on quadrilateral meshes, but few if any implementations of unstructured C-grid sea ice models have been developed. We present an unstructured C-grid formulation of the elastic-viscous-plastic rheology, where the velocity unknowns are located at the edges rather than at the vertices, as in the B-grid. The mesh cells in our analysis have $n$ sides, with $n$ greater than or equal to four. Numerical results are also included to investigate the features of the proposed method. Our framework of choice is the Model for Prediction Across Scales (MPAS) within E3SM, the climate model of the U.S. Department of Energy, although our approach is general and could be applied to other models as well. While MPAS-Seaice is currently defined on a B-grid, MPAS-Ocean runs on a C-grid, hence interpolation operators are heavily used when coupled simulations are performed. The discretization introduced here aims at transitioning the dynamics of MPAS-Seaice to a C-grid, in order to ultimately facilitate the coupling with MPAS-Ocean and reduce numerical errors associated with this communication.
format Article in Journal/Newspaper
author Capodaglio, Giacomo
Petersen, Mark R.
Turner, Adrian K.
Roberts, Andrew F.
author_facet Capodaglio, Giacomo
Petersen, Mark R.
Turner, Adrian K.
Roberts, Andrew F.
author_sort Capodaglio, Giacomo
title An unstructured C-grid type variational formulation for the sea ice dynamics
title_short An unstructured C-grid type variational formulation for the sea ice dynamics
title_full An unstructured C-grid type variational formulation for the sea ice dynamics
title_fullStr An unstructured C-grid type variational formulation for the sea ice dynamics
title_full_unstemmed An unstructured C-grid type variational formulation for the sea ice dynamics
title_sort unstructured c-grid type variational formulation for the sea ice dynamics
publisher arXiv
publishDate 2021
url https://dx.doi.org/10.48550/arxiv.2112.14993
https://arxiv.org/abs/2112.14993
long_lat ENVELOPE(-63.071,-63.071,-70.797,-70.797)
geographic Curl
geographic_facet Curl
genre Sea ice
genre_facet Sea ice
op_rights arXiv.org perpetual, non-exclusive license
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
op_doi https://doi.org/10.48550/arxiv.2112.14993
_version_ 1766191303017627648