Numerical simulation and analysis of the sensitivity of large-scale ocean dynamics

被引:16
|
作者
Zalesny, VB
机构
[1] Institute of Numerical Mathematics, Russian Academy of Sciences
基金
俄罗斯基础研究基金会;
关键词
D O I
10.1515/rnam.1996.11.5.421
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This work deals with the numerical modelling of ocean dynamics and an analysis of the the sensitivity of the obtained solutions. We give the numerical procedure of solving primitive equations which is based on the decomposition of the space operator in the problem (the weak approximation method). The original equations written in a-coordinates are reduced to the system of evolutionary equations which satisfies an integral relation for total energy. We consider the representation (decomposition) of the operator in the given differential problem as a sum of suboperators. The corresponding energy relation must necessarily hold for each suboperator. The decomposition of the problem operator may be of different depth, down to the splitting by separate coordinates. Each isolated suboperator can be then approximated in space by a specific method, its characteristic features taken into account. The above approach is exemplified by the solution of the numerical problem of thermohaline dynamics in the Greenland-Iceland-Norwegian sea and the study of its features when decreasing the coefficients of turbulent viscosity. A decrease of the coefficients of turbulent viscosity entails the necessity of tripling the grid resolution in the solution of locally one-dimensional equations of convection-diffusion of temperature and salinity in horizontal variables. We interpret the variability of current dynamics under changes of the model parameters by a sensitivity function. As this function we choose the functional of the adjoint equation of convection-diffusion of a passive tracer.
引用
收藏
页码:421 / 443
页数:23
相关论文
共 50 条
  • [31] Numerical simulation of large-scale nonlinear open quantum mechanics
    Roda-Llordes, M.
    Candoli, D.
    Grochowski, P. T.
    Riera-Campeny, A.
    Agrenius, T.
    Garcia-Ripoll, J. J.
    Gonzalez-Ballestero, C.
    Romero-Isart, O.
    [J]. PHYSICAL REVIEW RESEARCH, 2024, 6 (01):
  • [32] Numerical simulation on flow characteristics of large-scale submarine mudflow
    Zhang, Yan
    Lu, Xiaobing
    Zhang, Xuhui
    Li, Peng
    [J]. APPLIED OCEAN RESEARCH, 2021, 108
  • [33] Multirate numerical scheme for large-scale vehicle traffic simulation
    Kurtc V.V.
    Anufriev I.E.
    [J]. Mathematical Models and Computer Simulations, 2016, 8 (6) : 744 - 751
  • [34] Large-scale numerical simulation of laser propulsion by parallel computing
    Zeng, Yaoyuan
    Zhao, Wentao
    Wang, Zhenghua
    [J]. 2ND INTERNATIONAL SYMPOSIUM ON LASER INTERACTION WITH MATTER (LIMIS 2012), 2013, 8796
  • [35] Numerical simulation of the flow of gases in a Large-scale electroslag furnace
    Yan, Chen
    Li, Ying
    Zhai, Yingying
    Sha, Yuhui
    [J]. APPLICATIONS OF ENGINEERING MATERIALS, PTS 1-4, 2011, 287-290 : 970 - 973
  • [36] THE DYNAMICS OF LARGE-SCALE CYCLOGENESIS OVER THE NORTH PACIFIC-OCEAN
    BLACK, RX
    DOLE, RM
    [J]. JOURNAL OF THE ATMOSPHERIC SCIENCES, 1993, 50 (03) : 421 - 442
  • [37] Sensitivity analysis of large-scale time dependent PDEs
    Tocci, MD
    [J]. APPLIED NUMERICAL MATHEMATICS, 2001, 37 (1-2) : 109 - 125
  • [38] Advanced HPC Methods for Large-scale Sensitivity Analysis
    Cioaca, Alexandru
    [J]. PROCEEDINGS OF THE 2015 7TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI), 2015, : E21 - E26
  • [39] Sensitivity Analysis of a Large-Scale Air Pollution Model: Numerical Aspects and a Highly Parallel Implementation
    Ostromsky, Tzvetan
    Dimov, Ivan
    Georgieva, Rayna
    Zlatev, Zahari
    [J]. LARGE-SCALE SCIENTIFIC COMPUTING, 2010, 5910 : 197 - +
  • [40] Existence of a solution 'in the large' for the 3D large-scale ocean dynamics equations
    Kobelkov, Georgij M.
    [J]. COMPTES RENDUS MATHEMATIQUE, 2006, 343 (04) : 283 - 286