2014
DOI: 10.5194/gmd-7-663-2014
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The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model

Abstract: Abstract. The Finite Element Sea Ice-Ocean Model (FE-SOM) 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 b… Show more

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Cited by 245 publications
(269 citation statements)
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“…In this study we use model output from the Finite-Element Sea-ice Ocean Model (FESOM) version 1.4 (Wang et al, 2014;Danilov et al, 2015). FESOM is an ocean-sea ice model which solves the hydrostatic primitive equations in the Boussinesq approximation.…”
Section: Numerical Modelmentioning
confidence: 99%
“…In this study we use model output from the Finite-Element Sea-ice Ocean Model (FESOM) version 1.4 (Wang et al, 2014;Danilov et al, 2015). FESOM is an ocean-sea ice model which solves the hydrostatic primitive equations in the Boussinesq approximation.…”
Section: Numerical Modelmentioning
confidence: 99%
“…Historically, there has been a substantially computational penalty, e.g. the finite element model FESOM1.4 was reported to be ∼ 10 times slower than comparable structured grid models (Wang et al, 2014) and experience with the FV-COM in the northwest European shelf suggest this model is ∼ 5 times slower than NEMO. More recent work suggests a very different picture: MPAS quotes a penalty of 3.4 compared with POP (Ringler et al, 2013) and the finite volume FESOM2 code reports a through-put 5 times faster than FESOM1.4.…”
Section: Scalability and Efficiency Of Ocean Modelsmentioning
confidence: 99%
“…FVCOM (Chen et al, 2003); FESOM2 or a finite element approach, e.g. FESOM1.4 (Wang et al, 2014), SELFE (Zhang and Baptista, 2008) and SCHISM (Zhang et al, 2016). In contrast, MPAS (Ringler et al, 2013) is based on hexagonal meshes using a finite volume approach.…”
Section: Options For Multiscale Modellingmentioning
confidence: 99%
“…A range of new general circulation models, including the Finite Element Sea Ice-Ocean Model (FESOM) (Wang et al, 2014), the Finite Volume Community Ocean Model (FVCOM) (Chen et al, 2003(Chen et al, , 2007Lai et al, 2010), the Stanford Unstructured Non-hydrostatic Terrain-following Adaptive NavierStokes Simulator (SUNTANS) (Fringer et al, 2006;Vitousek and Fringer, 2014), and the Second-generation Louvainla-Neuve Ice-ocean Model (SLIM) (Bernard et al, 2007;Comblen et al, 2009), are based on semi-structured triangular grids, with the horizontal directions discretised according to an unstructured spherical triangulation, and the ver-D. Engwirda: Unstructured grid-generation for general circulation modelling 2119 tical direction represented as a stack of locally structured layers. The Model for Predication Across Scales (MPAS) (Skamarock et al, 2012;Ringler et al, 2013Ringler et al, , 2008) adopts a similar arrangement, except that a locally orthogonal unstructured discretisation is adopted, consisting of both a Spherical Voronoi Tessellation (SVT) and its dual Delaunay triangulation.…”
Section: Unstructured Gridsmentioning
confidence: 99%