Hostname: page-component-78c5997874-j824f Total loading time: 0 Render date: 2024-11-19T07:25:53.310Z Has data issue: false hasContentIssue false

Impact of Local Grid Refinements of Spherical Centroidal Voronoi Tessellations for Global Atmospheric Models

Published online by Cambridge University Press:  27 March 2017

Yudi Liu*
Affiliation:
Institute of Meteorology and Oceanography, Nanjing University of Science and Technology, Nanjing 211101, P.R. China National Center for Atmospheric Research, Boulder, Colorado, USA
Taojin Yang*
Affiliation:
Institute of Meteorology and Oceanography, Nanjing University of Science and Technology, Nanjing 211101, P.R. China
*
*Corresponding author. Email addresses:[email protected] (Y. Liu), [email protected] (T. Yang)
*Corresponding author. Email addresses:[email protected] (Y. Liu), [email protected] (T. Yang)
Get access

Abstract

In order to study the local refinement issue of the horizontal resolution for a global model with Spherical Centroidal Voronoi Tessellations (SCVTs), the SCVTs are set to 10242 cells and 40962 cells respectively using the density function. The ratio between the grid resolutions in the high and low resolution regions (hereafter RHL) is set to 1:2, 1:3 and 1:4 for 10242 cells and 40962 cells, and the width of the grid transition zone (for simplicity, WTZ) is set to 18° and 9° to investigate their impacts on the model simulation. The ideal test cases, i.e. the cosine bell and global steady-state nonlinear zonal geostrophic flow, are carried out with the above settings. Simulation results showthat the larger the RHL is, the larger the resulting error is. It is obvious that the 1:4 ratio gives rise to much larger errors than the 1:2 or 1:3 ratio; the errors resulting from the WTZ is much smaller than that from the RHL. No significant wave distortion or reflected waves are found when the fluctuation passes through the refinement region, and the error is significantly small in the refinement region. Therefore,when designing a local refinement scheme in the global model with SCVT, the RHL should be less than 1:4, i.e., the error is acceptable when the RHL is 1:2 or 1:3.

Type
Research Article
Copyright
Copyright © Global-Science Press 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

Communicated by Lianjie Huang

References

[1] Skamarock, W. C., Klemp, J. B., Duda, M. G., et al. (2012), A Multi-scale Nonhydrostatic Atmospheric Model using centroidal Voronoi Tesselations and C-grid Staggering. Mon. Wea. Rev., 140:30903105.CrossRefGoogle Scholar
[2] Park, S. H., Skamarock, W. C., Klemp, J. B., et al. (2013), Evaluation of global atmospheric solvers using extensions of the Jablonowski and Williamson baroclinic wave test case. Mon. Wea. Rev., 141: 31163129.CrossRefGoogle Scholar
[3] Skamarock, W. C., Klemp, J. B., Dudhia, J., et al. (2009), A Description of the Advanced Research WRF Version 3. NCAR Tech. Note NCAR/TNC475+STR, 113 pp. Boulder, USA.Google Scholar
[4] Ringler, T., Ju, L., and Gunzburger, M. (2008), A multresolution method for climate system modeling: Application of spherical centroidal Voronoi tessellations. Ocean Dyn., 58:475498.CrossRefGoogle Scholar
[5] Ringler, T. D., Jacobsen, D., Gunzburger, M., et al. (2011), Exploring a multi-resolution modeling approach within the shallow-water equations. Mon. Wea. Rev., 139: 33483368.CrossRefGoogle Scholar
[6] Du, Q., Faber, V., and Gunzburger, M. (1999), Centroidal Voronoi tessellations: Applocations and algorithms. SIAM Rev., 41: 637676.CrossRefGoogle Scholar
[7] Du, Q., Gunzburger, M. and Ju, L. (2003), Constrained centroidal Voronoi tessellations for surfaces. SIAM Journal on Scientific Computing, 24:14881506.CrossRefGoogle Scholar
[8] Du, Q., Gunzbueger, M., and Ju, L. (2003), Voronoi-based finite volume methods, optimal Voronoi meshes, and PDEs on the sphere. Comput. Methods Appl. Mech. Eng., 192: 39333957.CrossRefGoogle Scholar
[9] Williamson, D.L., Drake, J.B., Hack, J., Jacob, R., Swartztrauber, P.N. (1992), A standard test for numerical approximation to the shallow water equations in spherical geometry, J. Comput. Phys., 102:211224.CrossRefGoogle Scholar