J4 ›› 2012, Vol. 34 ›› Issue (2): 87-92.
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LIU Cancan,ZHANG Weimin,LUO Zhigang,REN Kaijun
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There is an urgent demand for High Performance Computing (HPC) resources to analyze and process huge data in ensemble prediction. It will improve the effect of the prediction result to provide effective resources and data management. With the huge data and high demand for HPCs, we provide a data management strategy based on meta data distillation and a resource management method based on virtual organization. Besides, the grid technology is used for data and resource sharing and management. As a result, a coordinated development environment is built for the meteorologists distributed all over the world and different organizations, which accelerates the development of meteorology as a result.
Key words: mesoscale weather events;ensemble prediction;high performance computing(HPC);grid computing;meta data
LIU Cancan,ZHANG Weimin,LUO Zhigang,REN Kaijun. HighPerformance Computing Environments for Ensemble Prediction[J]. J4, 2012, 34(2): 87-92.
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http://joces.nudt.edu.cn/EN/Y2012/V34/I2/87