计算物理 ›› 2017, Vol. 34 ›› Issue (1): 47-60.

• 研究论文 • 上一篇    下一篇

基于JASMIN框架的区域大气模式并行程序开发及试验

徐幼平1,2, 程煜峰1,3,4, 王斌1, 郭红5, 普业1,3, 程锐1,2   

  1. 1. 中国科学院大气物理研究所大气科学和地球流体力学数值模拟国家重点实验室, 北京 100029;
    2. 北京应用气象研究所, 北京 100029;
    3. 中国科学院大学, 北京 100049;
    4. 解放军78127部队, 成都 610031;
    5. 北京应用物理和计算数学研究所, 北京 100094
  • 收稿日期:2015-12-28 修回日期:2016-05-11 出版日期:2017-01-25 发布日期:2017-01-25
  • 作者简介:徐幼平(1963-),男,江西南昌,研究员,博士,主要从事中尺度大气模式及物理过程研究,E-mail:xyp@lasg.iap.ac.cn
  • 基金资助:
    国家重点基础研究发展计划(6131270305)及国家水利部公益性行业专项(201301062-02)资助项目

Parallel-Program Development and Experiment of Regional Atmospheric Model Based on JASMIN Framework

XU Youping1,2, CHENG Yufeng1,3,4, WANG Bin1, GUO Hong5, PU Ye1,3, CHENG Rui1,2   

  1. 1. The State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;
    2. Beijing Institute of Applied Meteorology, Beijing 100029, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. PLA Troops No. 78127, Chengdu 610031, China;
    5. Institite of Applied Physics and Computational Mathematics, Beijing 100094, China
  • Received:2015-12-28 Revised:2016-05-11 Online:2017-01-25 Published:2017-01-25

摘要: 以自主研制的区域中尺度暴雨大气模式为研究对象,基于JASMIN并行编程框架,建立构件化、层次化的区域大气模式大规模高效并行程序,并针对典型天气实例,对模式并行计算程序的正确性、并行性能及高分辨率模拟效果进行验证.结果证明,基于JASMIN框架的新模式程序与原串行模式具有很好的计算一致性,其不仅能保持原有模式良好的预报效果,且能显著提升模式大规模并行计算性能和可扩展性,在进一步提高模式分辨率后能得到更好的预报结果.

关键词: AREM模式, JASMIN框架, 并行计算, 二维剖分, 并行效率

Abstract: Meso-scale heavy rain numerical model was studied.Regional atmospheric model parallel program with high hierarchy and modularity was built based on parallel applications infrastructure.With simulation of typical weather event, correctness, improvement of parallel performance and high-resolution simulation are tested.The new parallel model kept well prediction performance of original model and improved parallel performance and extendibility.The model simulated better with higher resolution.

Key words: AREM model, JASMIN framework, parallel computation, two-dimensional decomposition, parallel efficiency

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