Pressure Decimation and Interpolation (PDI) method for a baroclinic non-hydrostatic model

被引:26
作者
Shi, Jian [1 ,2 ]
Shi, Fengyan [2 ]
Kirby, James T. [2 ]
Ma, Gangfeng [3 ]
Wu, Guoxiang [2 ,4 ]
Tong, Chaofeng [1 ]
Zheng, Jinhai [1 ]
机构
[1] Hohai Univ, Coll Harbor Coastal & Offshore Engn, Nanjing 210098, Jiangsu, Peoples R China
[2] Univ Delaware, Dept Civil & Environm Engn, Ctr Appl Coastal Res, Newark, DE 19716 USA
[3] Old Dominion Univ, Dept Civil & Environm Engn, Norfolk, VA 23529 USA
[4] Ocean Univ China, Coll Engn, Qingdao 266100, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
Non-hydrostatic wave model; Pressure Decimation and Interpolation; Barticlinic model; FREE-SURFACE FLOWS; VISCOUS INCOMPRESSIBLE-FLOW; OCEAN MODEL; WAVE-PROPAGATION; NUMERICAL-MODEL; INTERNAL WAVES; COASTAL OCEAN; FINITE-VOLUME; ALGORITHM; EQUATIONS;
D O I
10.1016/j.ocemod.2015.09.010
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Non-hydrostatic models are computationally expensive in simulating density flows and mass transport problems due to the requirement of sufficient grid resolution to resolve density and flow structures. Numerical tests based on the Non-Hydrostatic Wave Model, NHWAVE (Ma et al 2012), indicated that up to 70% of the total computational cost may be born by the pressure Poisson solver in cases with high grid resolution in both vertical and horizontal directions. However, recent studies using Poisson solver-based non-hydrostatic models have shown that an accurate prediction of wave dispersion does not require a large number of vertical layers if the dynamic pressure is properly discretized. In this study, we explore the possibility that the solution for the dynamic pressure field may, in general, be decimated to a resolution far coarser than that used in representing velocities and other transported quantities, without sacrificing accuracy of solutions. Following van Reeuwijk (2002), we determine the dynamic pressure field by solving the Poisson equation on a coarser grid and then interpolate the pressure field onto a finer grid used for solving for the remaining dynamic variables. With the Pressure Decimation and Interpolation (PDI) method, computational efficiency is greatly improved. We use three test cases to demonstrate the model's accuracy and efficiency in modeling density flows. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:265 / 279
页数:15
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