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北京地区中尺度非静力数值预报系统的开发与实时预报应用
引用本文:王建捷,王迎春.北京地区中尺度非静力数值预报系统的开发与实时预报应用[J].应用气象学报,1999,10(4):384-393.
作者姓名:王建捷  王迎春
作者单位:1.国家气象中心!北京100081(王建捷,崔波,喻炜,郭肖容,陈德辉),北京市气象局!北京100081(王迎春,陆端军)
基金项目:中国气象局科学技术研究项目,国家气象中心“九五”课题
摘    要:国家气象中心与北京市气象局联合开发并将于1999年底建成“北京地区中尺度数值天气预报业务系统”。作为开发的第一阶段,以PSU/NCAR的MM5非静力中尺度模式为基础,在国家气象中心IBM/SP2机并行运算环境下与国家气象中心资料源连接并应用北京地区加密地面观测资料,初步建成了“北京地区中尺度数值天气预报试验系统”(以下简称BJ-MM5V.1)。模式设计为垂直23层,水平分辨率分别为45和15km的两重双向嵌套网格。在IBM/SP2计算机上用24个节点作36 h预报所需机时为2 h 20 min,满足实时业务预报需要。该系统于1997年夏季进行了实时运行试验,可提供北京地区每小时降水量预报每3 h多种气象要素预报,预报产品在北京市气象局试用。结果表明,系统有较强的稳定性和实用性,对降水时空分布的预报效果较好。

关 键 词:中尺度数值预报  并行运算  实时运行试验

Development and Real Time Application of Nonhydrostatic Mesoscale NWP System for Beijing Area
Wang Jianjie,Wang Yingchun,Cui Bo,Lu Duanjun,Yu Wei,Guo Xiaorong,Chen Dehui.Development and Real Time Application of Nonhydrostatic Mesoscale NWP System for Beijing Area[J].Quarterly Journal of Applied Meteorology,1999,10(4):384-393.
Authors:Wang Jianjie  Wang Yingchun  Cui Bo  Lu Duanjun  Yu Wei  Guo Xiaorong  Chen Dehui
Affiliation:1.1) (National Meteorological Center, Beijing 100081); 2) (Beijing Meteorological Bureau, Beijing 100081)
Abstract:A big progress has been made on the development of the mesoscale numerical weather prediction (NWP) system for Beijing area, a joint project of National Meteorological Center (NMC) and Beijing Meteorological Bureau (BMB). The basin of the PSU/NCAR’s nonhydrostatic mesoscale model version 5 (MM 5), an experimental mesoscale NWP system for Beijing area (BJ-MM 5 V.1) was created, in which the model is two-way nested with 45 and 15 km horizontal resolution for coarse and fine mesh, respectively, and 23 σ layers in vertical; and it is run on the parallel environment of IBM/SP2 with 24 nodes for 36 h prediction, while 2 h and 20 min in computing time is able to meet the time requirement for real time operational application. The BJ-MM5 V. 1 is linked with the data resources of the NMC as well as the data set of intensive surface observation over Beijing area. And encouragingly, it was run stably in real time and its products were referenced by the weather office of BMB for weather forecasts during the whole summer of 1997. The verification results indicate that the model can predict reasonably the spatial and temporal distribution of precipitation.
Keywords:Mesoscale  NWP  Parallel computing  Real time testing
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