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New Generation of multi-scale NWP system (GRAPES): general scientific design
  • 时间:0
  • 分类:P45[天文地球—大气科学及气象学]
  • 作者机构:[1]State Key Laboratory of Server Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China, [2]National Meteorological Center, Beijing 100081, China, [3]Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100089, China
  • 相关基金:Supported by Key Technologies Research and Development Program (Grant No. 2001BA607B02), National Key Technology Research and Development Program (Grant No. 2006BAC02B03), and National Natural Science This is a collective work of many contributors whose names cannot all appear here. Our first special thanks should be sent to them. We also appreciated the discussions with Drs. Andrew Staniforth, Terry Davies and Kato Saito, and their helpful comments and suggestions. We would like to thank also the Centre for Numerical Prediction Research of the Chinese Academy of Meteorological Sciences (CNPR/CAMS) for providing highly comfortable and efficient working environment and computation plaform.Foundation of China (Grant No. 40575050)
  • 相关项目:拉格朗日非静力全球模式多时间层动力-物理过程及相关协调性研究
中文摘要:

数字预言系统葡萄(全球 / 地区性的吸收和预言系统的一种短形式) 的新一代在中国气象学的管理(CMA ) 被建立。这篇论文在葡萄集中于科学设计和数字预言模型的初步的结果,包括代码的一般科学设计,多尺度的动态核心,物理包裹配置,体系结构和并行化的基本想法和策略。用有从 10 ~ 280 km 的水平分辨率的真实数据的一系列数字实验和有直到 100 m 的很高的分辨率的理想化的实验被进行,给支持葡萄的多尺度的应用程序的令人鼓舞的结果。在一些 NWP 中心的葡萄模型的运作的实现的结果也在能力的评估与应力被介绍在中国预言降水的主要特征。最后,为进一步的开发要处理的问题被讨论。

英文摘要:

A new generation of numerical prediction system GRAPES (a short form of Global/Regional Assimilation and PrEdiction System) was set up in China Meteorological Administration (CMA). This paper fo- cuses on the scientific design and preliminary results of the numerical prediction model in GRAPES, including basic idea and strategy of the general scientific design, multi-scale dynamic core, physical package configuration, architecture and parallelization of the codes. A series of numerical experiments using the real data with horizontal resolutions from 10 to 280 km and idealized experiments with very high resolution up to 100 m are conducted, giving encouraging results supporting the multi-scale application of GRAPES. The results of operational implementation of GRAPES model in some NWP centers are also presented with stress at evaluations of the capability to predict the main features of precipitation in China. Finally the issues to be dealt with for further development are discussed.

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