A stabilized proper orthogonal decomposition reduced-order model for large scale quasigeostrophic ocean circulation

被引:0
作者
Omer San
Traian Iliescu
机构
[1] Virginia Tech,Interdisciplinary Center for Applied Mathematics
[2] Virginia Tech,Department of Mathematics
来源
Advances in Computational Mathematics | 2015年 / 41卷
关键词
Proper orthogonal decomposition; Reduced-order modeling; Stabilization; Eddy viscosity closure; Barotropic vorticity equations; Quasigeostrophic ocean model; Double-gyre wind forcing; Four-gyre ocean circulation; 37N10; 76M25; 76F20; 76D99;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, a stabilized proper orthogonal decomposition (POD) reduced-order model (ROM) framework is developed for the barotropic vorticity equation. Two different closure ideas are utilized in order to model truncated modes in the ROMs. We apply the POD-ROMs to mid-latitude simplified oceanic basins, which are standard prototypes of more realistic large-scale ocean dynamics. Two closure schemes are used to model the effects of the discarded POD modes: a mode dependent eddy viscosity closure model and a Smagorinsky-type model. A sensitivity analysis with respect to the free eddy viscosity stabilization parameter is performed for various POD-ROMs with different numbers of POD modes. The POD-ROM results are validated against the Munk layer resolving direct numerical simulations using a fully conservative fourth-order Arakawa scheme. A comparison with the standard Galerkin POD-ROM without any stabilization or closure is also included in our investigation. For a four-gyre ocean circulation problem, the new POD-ROM closure models show significant improvements in accuracy over the standard Galerkin model. This first step in the numerical assessment of the POD-ROMs shows that they could represent a computationally efficient tool for large scale oceanic simulations over long time intervals.
引用
收藏
页码:1289 / 1319
页数:30
相关论文
共 127 条
[1]  
Amsallem D(2009)A method for interpolating on manifolds structural dynamics reduced-order models Int. J. Numer. Methods Eng. 80 1241-1258
[2]  
Cortial J(2008)Interpolation method for adapting reduced-order models and application to aeroelasticity AIAA J. 46 1803-1813
[3]  
Carlberg K(2012)Stabilization of projection-based reduced-order models Int. J. Numer. Methods Eng. 91 358-377
[4]  
Farhat C(1966)Computational design for long-term numerical integration of the equations of fluid motion: two-dimensional incompressible flow. Part I J. Comput. Phys. 1 119-143
[5]  
Amsallem D(2013)Low-dimensional modelling of high-Reynolds-number shear flows incorporating constraints from the Navier–Stokes equation J. Fluid Mech. 729 285-308
[6]  
Farhat C(2009)Enablers for robust POD models J. Comput. Phys. 228 516-538
[7]  
Amsallem D(2008)Optimal control of the cylinder wake in the laminar regime by trust-region methods and POD reduced-order models J. Comput. Phys. 227 7813-7840
[8]  
Farhat C(2011)Artificial viscosity proper orthogonal decomposition Math. Comput. Model. 53 269-279
[9]  
Arakawa A(1971)A numerical study of laminar separation bubbles using the Navier–Stokes equations J. Fluid Mech. 47 713-736
[10]  
Balajewicz MJ(2008)Model reduction for large-scale systems with high-dimensional parametric input space SIAM J. Sci. Comput. 30 3270-3288