Fast EVP Solutions in a High-Resolution Sea Ice Model

Sea ice dynamics determine the drift and deformation of sea ice. Nonlinear physics, usually expressed in a viscous-plastic rheology, makes the sea ice momentum equations notoriously difficult to solve. At increasing sea ice model resolution the nonlinearities become stronger as linear kinematic feat...

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Main Authors: Koldunov, Nikolay V., Danilov, Sergey, Sidorenko, Dmitry, Hutter, Nils, Losch, Martin, Goessling, Helge, Rakowsky, Natalja, Scholz, Patrick, Sein, Dmitry, Wang, Qiang, Jung, Thomas
Format: Text
Language:English
Published: FID GEO 2019
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Online Access:https://dx.doi.org/10.23689/fidgeo-4698
https://e-docs.geo-leo.de/handle/11858/9044
id ftdatacite:10.23689/fidgeo-4698
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spelling ftdatacite:10.23689/fidgeo-4698 2023-05-15T15:06:01+02:00 Fast EVP Solutions in a High-Resolution Sea Ice Model Koldunov, Nikolay V. Danilov, Sergey Sidorenko, Dmitry Hutter, Nils Losch, Martin Goessling, Helge Rakowsky, Natalja Scholz, Patrick Sein, Dmitry Wang, Qiang Jung, Thomas 2019 https://dx.doi.org/10.23689/fidgeo-4698 https://e-docs.geo-leo.de/handle/11858/9044 en eng FID GEO Article article-journal Text ScholarlyArticle 2019 ftdatacite https://doi.org/10.23689/fidgeo-4698 2022-02-08T11:58:38Z Sea ice dynamics determine the drift and deformation of sea ice. Nonlinear physics, usually expressed in a viscous-plastic rheology, makes the sea ice momentum equations notoriously difficult to solve. At increasing sea ice model resolution the nonlinearities become stronger as linear kinematic features (leads) appear in the solutions. Even the standard elastic-viscous-plastic (EVP) solver for sea ice dynamics, which was introduced for computational efficiency, becomes computationally very expensive, when accurate solutions are required, because the numerical stability requires very short, and hence more, subcycling time steps at high resolution. Simple modifications to the EVP solver have been shown to remove the influence of the number of subcycles on the numerical stability. At low resolution appropriate solutions can be obtained with only partial convergence based on a significantly reduced number of subcycles as long as the numerical procedure is kept stable. This previous result is extended to high resolution where linear kinematic features start to appear. The computational cost can be strongly reduced in Arctic Ocean simulations with a grid spacing of 4.5 km by using modified and adaptive EVP versions because fewer subcycles are required to simulate sea ice fields with the same characteristics as with the standard EVP. Text Arctic Arctic Ocean Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description Sea ice dynamics determine the drift and deformation of sea ice. Nonlinear physics, usually expressed in a viscous-plastic rheology, makes the sea ice momentum equations notoriously difficult to solve. At increasing sea ice model resolution the nonlinearities become stronger as linear kinematic features (leads) appear in the solutions. Even the standard elastic-viscous-plastic (EVP) solver for sea ice dynamics, which was introduced for computational efficiency, becomes computationally very expensive, when accurate solutions are required, because the numerical stability requires very short, and hence more, subcycling time steps at high resolution. Simple modifications to the EVP solver have been shown to remove the influence of the number of subcycles on the numerical stability. At low resolution appropriate solutions can be obtained with only partial convergence based on a significantly reduced number of subcycles as long as the numerical procedure is kept stable. This previous result is extended to high resolution where linear kinematic features start to appear. The computational cost can be strongly reduced in Arctic Ocean simulations with a grid spacing of 4.5 km by using modified and adaptive EVP versions because fewer subcycles are required to simulate sea ice fields with the same characteristics as with the standard EVP.
format Text
author Koldunov, Nikolay V.
Danilov, Sergey
Sidorenko, Dmitry
Hutter, Nils
Losch, Martin
Goessling, Helge
Rakowsky, Natalja
Scholz, Patrick
Sein, Dmitry
Wang, Qiang
Jung, Thomas
spellingShingle Koldunov, Nikolay V.
Danilov, Sergey
Sidorenko, Dmitry
Hutter, Nils
Losch, Martin
Goessling, Helge
Rakowsky, Natalja
Scholz, Patrick
Sein, Dmitry
Wang, Qiang
Jung, Thomas
Fast EVP Solutions in a High-Resolution Sea Ice Model
author_facet Koldunov, Nikolay V.
Danilov, Sergey
Sidorenko, Dmitry
Hutter, Nils
Losch, Martin
Goessling, Helge
Rakowsky, Natalja
Scholz, Patrick
Sein, Dmitry
Wang, Qiang
Jung, Thomas
author_sort Koldunov, Nikolay V.
title Fast EVP Solutions in a High-Resolution Sea Ice Model
title_short Fast EVP Solutions in a High-Resolution Sea Ice Model
title_full Fast EVP Solutions in a High-Resolution Sea Ice Model
title_fullStr Fast EVP Solutions in a High-Resolution Sea Ice Model
title_full_unstemmed Fast EVP Solutions in a High-Resolution Sea Ice Model
title_sort fast evp solutions in a high-resolution sea ice model
publisher FID GEO
publishDate 2019
url https://dx.doi.org/10.23689/fidgeo-4698
https://e-docs.geo-leo.de/handle/11858/9044
geographic Arctic
Arctic Ocean
geographic_facet Arctic
Arctic Ocean
genre Arctic
Arctic Ocean
Sea ice
genre_facet Arctic
Arctic Ocean
Sea ice
op_doi https://doi.org/10.23689/fidgeo-4698
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