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Wu, X.J., Jin, Z.Y. and Huang, L.P. (2005) Framework and Implementation of GRAPES Model Software. Journal of Applied Meteorological Science, 16, 539-546.

has been cited by the following article:

• TITLE: Evaluation of the Application Benefit of Meteorological High Performance Computing Resources

  AUTHORS: Min Wei, Bin Wang

  KEYWORDS: High-Performance Computing Resources, Resource Application, Benefit Evaluation, Benefit Value

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.5 No.7, July 21, 2017

  ABSTRACT: The meteorological high-performance computing resource is the support platform for the weather forecast and climate prediction numerical model operation. The scientific and objective method to evaluate the application of meteorological high-performance computing resources can not only provide reference for the optimization of active resources, but also provide a quantitative basis for future resource construction and planning. In this paper, the concept of the utility value B and index compliance rate E of the meteorological high performance computing system are presented. The evaluation process, evaluation index and calculation method of the high performance computing resource application benefits are introduced.