A new computational framework for multi-scale ocean modelling based on adapting unstructured meshes

被引:124
|
作者
Piggott, M. D. [1 ]
Gorman, G. J. [1 ]
Pain, C. C. [1 ]
Allison, P. A. [1 ]
Candy, A. S. [1 ]
Martin, B. T. [1 ]
Wells, M. R. [1 ]
机构
[1] Imperial Coll London, Dept Earth Sci & Engn, Appl Modelling & Computat Grp, London SW7 2AZ, England
基金
英国自然环境研究理事会;
关键词
ocean modelling; multi-scale; finite element; unstructured mesh; adaptivity; anisotropic;
D O I
10.1002/fld.1663
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A new modelling framework is presented for application to a range of three-dimensional (3D) multi-scale oceanographic problems. The approach is based upon a finite element discretization on an unstructured tetrahedral mesh which is optimized to represent highly complex geometries. Throughout a simulation the mesh is dynamically adapted in 3D to optimize the representation of evolving solution structures. The adaptive algorithm makes use of anisotropic measures of solution complexity and a load-balanced parallel mesh optimization algorithm to vary resolution and allow long, thin elements to align with features such as boundary layers. The modelling framework presented is quite different from the majority of ocean models in use today, which are typically based on static-structured grids. Finite element (and volume) methods on unstructured meshes are, however, gaining popularity in the oceanographic community. The model presented here is novel in its use of unstructured meshes and anisotropic adaptivity in 3D, its ability to represent a range of coupled multi-scale solution structures and to simulate non-hydrostatic dynamics. Copyright (C) 2007 John Wiley & Sons, Ltd.
引用
收藏
页码:1003 / 1015
页数:13
相关论文
共 50 条
  • [41] A comprehensive multi-scale analytical modelling framework for predicting the mechanical properties of strand-based composites
    Sardar Malekmohammadi
    Navid Zobeiry
    Thomas Gereke
    Benjamin Tressou
    Reza Vaziri
    [J]. Wood Science and Technology, 2015, 49 : 59 - 81
  • [42] PhysiBoSS: a multi-scale agent-based modelling framework integrating physical dimension and cell signalling
    Letort, Gaelle
    Montagud, Arnau
    Stoll, Gautier
    Heiland, Randy
    Barillot, Emmanuel
    Macklin, Paul
    Zinovyev, Andrei
    Calzone, Laurence
    [J]. BIOINFORMATICS, 2019, 35 (07) : 1188 - 1196
  • [43] A multi-scale modelling framework to guide management of plant invasions in a transboundary context
    Joo Martins
    David M.Richardson
    Renato Henriques
    Elizabete Marchante
    Hélia Marchante
    Paulo Alves
    Mirijam Gaertner
    Joo P.Honrado
    Joana R.Vicente
    [J]. Forest Ecosystems, 2016, 3 (04) : 297 - 310
  • [44] A multi-scale modelling framework to guide management of plant invasions in a transboundary context
    Martins, Joao
    Richardson, David M.
    Henriques, Renato
    Marchante, Elizabete
    Marchante, Helia
    Alves, Paulo
    Gaertner, Mirijam
    Honrado, Joao P.
    Vicente, Joana R.
    [J]. FOREST ECOSYSTEMS, 2016, 3
  • [45] Multi-scale modelling of polymer-based optoelectronic devices
    Ramos, Marta M. D.
    Correia, Helena M. G.
    Barbosa, Helder M. C.
    [J]. INTERNATIONAL CONFERENCE ON APPLICATIONS OF OPTICS AND PHOTONICS, 2011, 8001
  • [46] Multi-scale Modelling of Granular Avalanches
    Kumar, Krishna
    Soga, Kenichi
    Delenne, Jean-Yves
    [J]. POWDERS AND GRAINS 2013, 2013, 1542 : 1250 - 1253
  • [47] JAUMIN: a programming framework for large-scale numerical simulation on unstructured meshes
    Liu, Qingkai
    Mo, Zeyao
    Zhang, Aiqing
    Yang, Zhang
    [J]. CCF TRANSACTIONS ON HIGH PERFORMANCE COMPUTING, 2019, 1 (01) : 35 - 48
  • [48] JAUMIN: a programming framework for large-scale numerical simulation on unstructured meshes
    Qingkai Liu
    Zeyao Mo
    Aiqing Zhang
    Zhang Yang
    [J]. CCF Transactions on High Performance Computing, 2019, 1 : 35 - 48
  • [49] Multi-scale modelling of river morphodynamics
    Nabi, M.
    Giri, S.
    Iwasaki, T.
    Kimura, I.
    Shimizu, Y.
    [J]. RIVER FLOW 2014, 2014, : 1253 - 1259
  • [50] Turbulence, emergence and multi-scale modelling
    Morrison, Margaret
    [J]. SYNTHESE, 2021, 198 (SUPPL 24) : 5963 - 5985