Performance of Adaptive Unstructured Mesh Modelling in Idealized Advection Cases over Steep Terrains
Performance of Adaptive Unstructured Mesh Modelling in Idealized Advection Cases over Steep Terrains
复制标题
陡峭地形理想化平流情况下自适应非结构化网格建模的性能
DOI:
10.3390/atmos9110444
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发表时间:
2018-11
期刊:
影响因子:
2.9
通讯作者:
Xiao Hang
中科院分区:
文献类型:
--
作者:
Li Jinxi;Zheng Jie;Zhu Jiang;Fang Fangxin;Pain Christopher C;Steppeler Juergen;Navon Ionel M;Xiao Hang
Advection errors are common in basic terrain-following (TF) coordinates. Numerous methods, including the hybrid TF coordinate and smoothing vertical layers, have been proposed to reduce the advection errors. Advection errors are affected by the directions of velocity fields and the complexity of the terrain. In this study, an unstructured adaptive mesh together with the discontinuous Galerkin finite element method is employed to reduce advection errors over steep terrains. To test the capability of adaptive meshes, five two-dimensional (2D) idealized tests are conducted. Then, the results of adaptive meshes are compared with those of cut-cell and TF meshes. The results show that using adaptive meshes reduces the advection errors by one to two orders of magnitude compared to the cut-cell and TF meshes regardless of variations in velocity directions or terrain complexity. Furthermore, adaptive meshes can reduce the advection errors when the tracer moves tangentially along the terrain surface and allows the terrain to be represented without incurring in severe dispersion. Finally, the computational cost is analyzed. To achieve a given tagging criterion level, the adaptive mesh requires fewer nodes, smaller minimum mesh sizes, less runtime and lower proportion between the node numbers used for resolving the tracer and each wavelength than cut-cell and TF meshes, thus reducing the computational costs.
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影响因子:
3.2
作者:
J. Steppeler;J. Klemp
通讯作者:
J. Steppeler;J. Klemp
影响因子:
3.2
作者:
H. Yamazaki;T. Satomura
通讯作者:
H. Yamazaki;T. Satomura
影响因子:
3
作者:
Beth Good;A. Gadian;Sarah‐Jane Lock;A. Ross
通讯作者:
Beth Good;A. Gadian;Sarah‐Jane Lock;A. Ross
影响因子:
3.2
作者:
R. A. Madden;Jill Williams
通讯作者:
R. A. Madden;Jill Williams
DOI:
10.1016/j.jcp.2017.04.061
发表时间:
2017-02
期刊:
J. Comput. Phys.
影响因子:
--
作者:
James Shaw;H. Weller;J. Methven;T. Davies
通讯作者:
James Shaw;H. Weller;J. Methven;T. Davies