Articles | Volume 8, issue 10
https://doi.org/10.5194/gmd-8-3471-2015
https://doi.org/10.5194/gmd-8-3471-2015
Development and technical paper
 | 
29 Oct 2015
Development and technical paper |  | 29 Oct 2015

On the use of Schwarz–Christoffel conformal mappings to the grid generation for global ocean models

S. Xu, B. Wang, and J. Liu

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Cited articles

CES: CESM | Community Earth System Model, available at: http://www2.cesm.ucar.edu (last access: 25 November 2014), 2014.
Chelton, D. B., deSzoeke, R. A., Schlax, M. G., Naggar, K. E., and Siwertz, N.: Geographical variability of the first baroclinic rossby radius of deformation, J. Phys. Oceanogr., 28, 433–460, 1998.
Chen, C., Beardsley, R., and Cowles, G.: An unstructured grid, finite-volume coastal ocean model (FVCOM) system, Oceanography, 19, 78–89, https://doi.org/10.5670/oceanog.2006.92, 2006.
Chen, C., Gao, G., Qi, J., Proshutinsky, A., Beardsley, R. C., Kowalik, Z., Lin, H., and Cowles, G.: A new high-resolution unstructured grid finite volume Arctic Ocean model (AO-FVCOM): An application for tidal studies, J. Geophys. Res.-Oceans, 114, C08017, https://doi.org/10.1029/2008JC004941, 2009.
CMI: Coupled Model Intercomparison Project Phase 5 – Overview, available at: http://cmip-pcmdi.llnl.gov/cmip5/ (last access: 12 October 2014), 2014.
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Short summary
This article applies Schwarz-Christoffel (SC) conformal mappings for single-connected and multiple-connected regions to the generation of general orthogonal grids for OGCMs, to achieve 1) the enlarged lat-lon proportion, 2) the removal of landmass and easier load balancing, 3) better spatial resolution on continental boundaries, and 4) alignment of grid lines to large-scale coastlines. The generated grids could be readily utilized by the majority of OGCMs that support general orthogonal grids.
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