Parallel and optimization works for sand-dust numerical forecasting model

被引：0
|
作者：
Jiang, Jinrong [1 ,2 ]
Zhang, Xiaoye [1 ]
Chi, Xuebin [2 ]
Lu, Zhonghua [2 ]
机构：
[1] Center of Atmosphere Watch and Services, Chinese Academy of Meteorological Sciences, Beijing 100081, China
[2] Supercomputing Center of Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
来源：
Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2010年 / 38卷 / SUPPL. 1期
关键词：
High resolution - Meso-scale modeling - Numerical forecasting - Operational predictions - Parallel - Sand dusts;
D O I：
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中图分类号：
学科分类号：
摘要：
The parallel scheme and optimization works for a sand-dust numerical model coupled with PSU/NCAR Mesoscale Model (MM5)-CUACE-Dust (China unified atmosphere chemistry system-dust) is introduced. These works reduce the run-time and increase the efficiency which is most important for real-time and high resolution forecasting. Based on CUACE-Dust, a numerical model forecasting system is established in northeast Asian, and is applied to China meteorological administration (CMA) for operational prediction of sand and dust storm. Meanwhile, shell scripts are designed for auto stream running of several programs to promote the user's convenience. Some testing results are given out at last to indicate the significance of our work.
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页码：47 / 50
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