The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model
The Finite Element Sea Ice-Ocean Model (FESOM) is the first global ocean general circulation model based on unstructured-mesh methods that has been developed for the purpose of climate research. The advantage of unstructured-mesh models is their flexible multi-resolution modelling functionality. In...
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ftcopernicus:oai:publications.copernicus.org:gmd20885 2023-05-15T18:17:28+02:00 The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model Wang, Q. Danilov, S. Sidorenko, D. Timmermann, R. Wekerle, C. Wang, X. Jung, T. Schröter, J. 2018-09-27 application/pdf https://doi.org/10.5194/gmd-7-663-2014 https://gmd.copernicus.org/articles/7/663/2014/ eng eng doi:10.5194/gmd-7-663-2014 https://gmd.copernicus.org/articles/7/663/2014/ eISSN: 1991-9603 Text 2018 ftcopernicus https://doi.org/10.5194/gmd-7-663-2014 2020-07-20T16:25:07Z The Finite Element Sea Ice-Ocean Model (FESOM) is the first global ocean general circulation model based on unstructured-mesh methods that has been developed for the purpose of climate research. The advantage of unstructured-mesh models is their flexible multi-resolution modelling functionality. In this study, an overview of the main features of FESOM will be given; based on sensitivity experiments a number of specific parameter choices will be explained; and directions of future developments will be outlined. It is argued that FESOM is sufficiently mature to explore the benefits of multi-resolution climate modelling and that its applications will provide information useful for the advancement of climate modelling on unstructured meshes. Text Sea ice Copernicus Publications: E-Journals Geoscientific Model Development 7 2 663 693 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
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English |
description |
The Finite Element Sea Ice-Ocean Model (FESOM) is the first global ocean general circulation model based on unstructured-mesh methods that has been developed for the purpose of climate research. The advantage of unstructured-mesh models is their flexible multi-resolution modelling functionality. In this study, an overview of the main features of FESOM will be given; based on sensitivity experiments a number of specific parameter choices will be explained; and directions of future developments will be outlined. It is argued that FESOM is sufficiently mature to explore the benefits of multi-resolution climate modelling and that its applications will provide information useful for the advancement of climate modelling on unstructured meshes. |
format |
Text |
author |
Wang, Q. Danilov, S. Sidorenko, D. Timmermann, R. Wekerle, C. Wang, X. Jung, T. Schröter, J. |
spellingShingle |
Wang, Q. Danilov, S. Sidorenko, D. Timmermann, R. Wekerle, C. Wang, X. Jung, T. Schröter, J. The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model |
author_facet |
Wang, Q. Danilov, S. Sidorenko, D. Timmermann, R. Wekerle, C. Wang, X. Jung, T. Schröter, J. |
author_sort |
Wang, Q. |
title |
The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model |
title_short |
The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model |
title_full |
The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model |
title_fullStr |
The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model |
title_full_unstemmed |
The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model |
title_sort |
finite element sea ice-ocean model (fesom) v.1.4: formulation of an ocean general circulation model |
publishDate |
2018 |
url |
https://doi.org/10.5194/gmd-7-663-2014 https://gmd.copernicus.org/articles/7/663/2014/ |
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Sea ice |
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Sea ice |
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eISSN: 1991-9603 |
op_relation |
doi:10.5194/gmd-7-663-2014 https://gmd.copernicus.org/articles/7/663/2014/ |
op_doi |
https://doi.org/10.5194/gmd-7-663-2014 |
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Geoscientific Model Development |
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663 |
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693 |
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1766191705585876992 |