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Application of Grid to GRAPES Meso-Scale Model
Guilin, Guangxi, China November 01-November 03
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SKG.2006.29Second International Conference on Se ...
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Xuesheng Yang, LASW/Chinese Academy of Meteorological Sciences, China
Weimin Zhang, Parallel and Distributed Processing for National Laboratory, China
Yongzhu Liu, LASW/Chinese Academy of Meteorological Sciences, China
Dehui Chen, LASW/Chinese Academy of Meteorological Sciences, China
Considering the fact that the computing resources and NWP model developers within the framework of the China Meteorological Administration (CMA) are distributed widespread across the countries, and that the NWP systems very much depend on datasharing, remote collaborative research, heavy computation, massive data and intensive services, the Meso-scale Model Application Grid (MMAG) has been established based on the grid technology. Ultimately this platform has aggregated the distributed computing resources and NWP software at CAMS, NMIC, STI, GRMC and GXMB. The GRAPES Meso-scale model runs routinely on MMAG and users can access the NWP products at the designated website. It also provides a remote collaborative research environment for the geographical distributed scientists to make contributions to the improvement of the GRAPES.
Citation:
Xuesheng Yang, Weimin Zhang, Yongzhu Liu, Dehui Chen, "Application of Grid to GRAPES Meso-Scale Model," skg, pp.70, Second International Conference on Semantics, Knowledge, and Grid (SKG'06), 2006
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