The Taylor‐least‐squares time integrator scheme applied to tracer equations of a sea ice model

Abstract The viscous‐plastic sea ice model based on [2] describes the motion of sea ice for scales of several thousand kilometers. The numerical model for the simulation of sea ice circulation and evolution over a seasonal cycle includes the consideration of the sea ice thickness and sea ice concent...

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Published in:PAMM
Main Authors: Nisters, Carina, Schröder, Jörg, Niekamp, Rainer, Ricken, Tim
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2019
Subjects:
Online Access:http://dx.doi.org/10.1002/pamm.201900473
https://onlinelibrary.wiley.com/doi/pdf/10.1002/pamm.201900473
id crwiley:10.1002/pamm.201900473
record_format openpolar
spelling crwiley:10.1002/pamm.201900473 2024-06-02T08:14:12+00:00 The Taylor‐least‐squares time integrator scheme applied to tracer equations of a sea ice model Nisters, Carina Schröder, Jörg Niekamp, Rainer Ricken, Tim 2019 http://dx.doi.org/10.1002/pamm.201900473 https://onlinelibrary.wiley.com/doi/pdf/10.1002/pamm.201900473 en eng Wiley http://creativecommons.org/licenses/by-nc-nd/4.0/ PAMM volume 19, issue 1 ISSN 1617-7061 1617-7061 journal-article 2019 crwiley https://doi.org/10.1002/pamm.201900473 2024-05-03T11:53:23Z Abstract The viscous‐plastic sea ice model based on [2] describes the motion of sea ice for scales of several thousand kilometers. The numerical model for the simulation of sea ice circulation and evolution over a seasonal cycle includes the consideration of the sea ice thickness and sea ice concentration. Transient advection equations describe the physical behavior of both thickness and concentration with the velocity of the sea ice as the coupling field. Recent research on a finite element implementation of the sea ice model is devoted to formulations based on the (mixed) Galerkin variational approach, compare to [1] and [6] for instance. Here, particular treatments are necessary regarding the stabilization of the complex numerical scheme, especially for the first‐order advection equation. It is therefore suggested to utilize the mixed least‐squares finite element method (LSFEM), which is well established in the branch of, e.g., fluid mechanics. A significant advantage of the method is its applicability to first‐order systems. Thus, this method results in stable and robust formulations also for not self‐adjoint operators like the tracer equations. Moreover, in [7], the authors provide a promising higher‐order time integration scheme for transient advection equations denoted as Taylor‐least‐squares scheme, which is investigated in this article. The presented least‐squares finite element formulation is based on the unsteady sea ice equations including two tracer equations of transient advection type. The numerical problem of a Box test case is investigated. Article in Journal/Newspaper Sea ice Wiley Online Library PAMM 19 1
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract The viscous‐plastic sea ice model based on [2] describes the motion of sea ice for scales of several thousand kilometers. The numerical model for the simulation of sea ice circulation and evolution over a seasonal cycle includes the consideration of the sea ice thickness and sea ice concentration. Transient advection equations describe the physical behavior of both thickness and concentration with the velocity of the sea ice as the coupling field. Recent research on a finite element implementation of the sea ice model is devoted to formulations based on the (mixed) Galerkin variational approach, compare to [1] and [6] for instance. Here, particular treatments are necessary regarding the stabilization of the complex numerical scheme, especially for the first‐order advection equation. It is therefore suggested to utilize the mixed least‐squares finite element method (LSFEM), which is well established in the branch of, e.g., fluid mechanics. A significant advantage of the method is its applicability to first‐order systems. Thus, this method results in stable and robust formulations also for not self‐adjoint operators like the tracer equations. Moreover, in [7], the authors provide a promising higher‐order time integration scheme for transient advection equations denoted as Taylor‐least‐squares scheme, which is investigated in this article. The presented least‐squares finite element formulation is based on the unsteady sea ice equations including two tracer equations of transient advection type. The numerical problem of a Box test case is investigated.
format Article in Journal/Newspaper
author Nisters, Carina
Schröder, Jörg
Niekamp, Rainer
Ricken, Tim
spellingShingle Nisters, Carina
Schröder, Jörg
Niekamp, Rainer
Ricken, Tim
The Taylor‐least‐squares time integrator scheme applied to tracer equations of a sea ice model
author_facet Nisters, Carina
Schröder, Jörg
Niekamp, Rainer
Ricken, Tim
author_sort Nisters, Carina
title The Taylor‐least‐squares time integrator scheme applied to tracer equations of a sea ice model
title_short The Taylor‐least‐squares time integrator scheme applied to tracer equations of a sea ice model
title_full The Taylor‐least‐squares time integrator scheme applied to tracer equations of a sea ice model
title_fullStr The Taylor‐least‐squares time integrator scheme applied to tracer equations of a sea ice model
title_full_unstemmed The Taylor‐least‐squares time integrator scheme applied to tracer equations of a sea ice model
title_sort taylor‐least‐squares time integrator scheme applied to tracer equations of a sea ice model
publisher Wiley
publishDate 2019
url http://dx.doi.org/10.1002/pamm.201900473
https://onlinelibrary.wiley.com/doi/pdf/10.1002/pamm.201900473
genre Sea ice
genre_facet Sea ice
op_source PAMM
volume 19, issue 1
ISSN 1617-7061 1617-7061
op_rights http://creativecommons.org/licenses/by-nc-nd/4.0/
op_doi https://doi.org/10.1002/pamm.201900473
container_title PAMM
container_volume 19
container_issue 1
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