FOUNDATION OF MEDIUM-RANGE NUMERICAL FORECAST SYSTEM T213L31 ON HIGH PERFORMANCE COMPUTER IBM/SP

Chen Qiying; Jin Zhiyan; Wu Xiangjun; Yao Mingming; Ali  Mechentel

Vol.15, NO.5, 2004

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2004 > 15(5): 523-533

Chen Qiying, Jin Zhiyan, Wu Xiangjun, et al. Foundation of medium-range numerical forecast system T213L31 on high performance computer ibm/sp. J Appl Meteor Sci, 2004, 15(5): 523-533.

Citation:

Chen Qiying, Jin Zhiyan, Wu Xiangjun, et al. Foundation of medium-range numerical forecast system T213L31 on high performance computer ibm/sp. J Appl Meteor Sci, 2004, 15(5): 523-533.

Chen Qiying, Jin Zhiyan, Wu Xiangjun, et al. Foundation of medium-range numerical forecast system T213L31 on high performance computer ibm/sp. J Appl Meteor Sci, 2004, 15(5): 523-533.

Citation:

Chen Qiying, Jin Zhiyan, Wu Xiangjun, et al. Foundation of medium-range numerical forecast system T213L31 on high performance computer ibm/sp. J Appl Meteor Sci, 2004, 15(5): 523-533.

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FOUNDATION OF MEDIUM-RANGE NUMERICAL FORECAST SYSTEM T213L31 ON HIGH PERFORMANCE COMPUTER IBM/SP

1.
National Meteorological Center, Beijing 100081
2.
Chinese Academy of Meteorological Sciences, Beijing 100081
3.
IBM TJ Watson Research Center, New York 10598, USA

Received Date: 2003-05-26
Rev Recd Date: 2004-02-04
Publish Date: 2004-10-31

Abstract

Abstract

Using combined method of distributed and shared memory parallelization, new global spectral model based on ECMWF is run on high performance computer INM/SP with great efficiency in National Meteorological Center (NMC) for the first time. The model performance is improved greatly by means of changing vector length, optimizing program design, ameliorating message passing mechanism, realizing joint application of distributed and shared memory parallelization, to decrease communication, calculation and memory consumption. Now 10-day forecasts of the model with resolution T213L31 can be finished within 3 hours so as to satisfy operational time requirement.At the same time, the parallel Optimization Interpolation (OI) analysis system matching T213L31 global spectral model is constructed, and the problem of calculation load imbalance produced by spatial heterogeneousness of global observation stations is resolved, so that T213L31 global data assimilation and forecast system is built based on the above work, and so is corresponding automatic job control and watching system.
- Numerical weather forecasts;
- Global spectral model;
- Distributed and shared memory parallelization;
- Global analysis and assimilation

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References(11)

Figures and Tables

图 1 T213L31在一个计算节点 (8个CPU) 上的任务并行方式

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图 2 全球模式并行化界面结构

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图 3 全球分析流程图

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图 4 全球分析在SP2上运行时间

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图 5 T213L31同化预报流程图

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图 6 后处理系统流程示意图

(Z, T, W, VO, D, R, ln p_s分别表示高度、温度、垂直速度、涡度、散度、相对湿度、地面气压的对数。MSL, Q, SKT, 10 u, 10 v, 2 T, 2D, RH2m, CP, LSP, SF分别表示海平面气压、比湿、表面温度、10 m的u和v、2 m的温度、露点温度、相对湿度、对流降水、大尺度降水、降雪。导出量有温度平流、涡度平流、温度露点差、水汽通量、水汽通量散度、θ_se、K指数、变高、H、T和p的预报误差)

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图 7 2001年8月17~18日 (a)、18~19日 (b)24 h降水实况和对应时间的T213的48 h预报 (c)、(d)

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