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民航飞机气象资料的应用及探讨
引用本文:沈越婷,向卫国.民航飞机气象资料的应用及探讨[J].成都信息工程学院学报,2012,27(1):97-107.
作者姓名:沈越婷  向卫国
作者单位:1. 成都信息工程学院大气科学学院,四川成都,610225
2. 成都信息工程学院大气科学学院,四川成都610225;成都信息工程学院高原大气与环境研究中心,四川成都610225
基金项目:成都信息工程学院自然科学与技术发展基金(CSR200801)对本文的资助
摘    要:为了将AMDAR资料应用于常规观测预报中,对天气系统的演变特征进行更细微的监测,利用2011年5月1~3日的AMDAR资料,分析AMDAR时空分布特点;对比气象常规高空观测实际,研究AMDAR资料处理技术,得出具体算法,并结合2011年5月1~3日常规高空观测资料分析天气形势,看出常规高空观测中显示的1日20时移出盆地的高原东部至盆地上空的浅槽于1日14时就已经移出盆地了,延安伸出的槽在14时也已出现。研究结果表明,高空气压的计算可直接用等温大气中的压高方程代替;AMDAR资料应用于常规高空观测可以得到比常规高空观测更为细致的结果。

关 键 词:大气科学  气象资料处理  AMDAR资料  时空分布  系统设计

Application and Discussion of the AMDAR Data
SHEN Yue-ting , XIANG Wei-guo.Application and Discussion of the AMDAR Data[J].Journal of Chengdu University of Information Technology,2012,27(1):97-107.
Authors:SHEN Yue-ting  XIANG Wei-guo
Institution:1,2(1.School of Atmospheric Sciences,Chengdu University of Information Technology,Chengdu 610225,China;2.Center for Plateau Atmospheric and Environmental Research,Chengdu University of Information Technology,Chengdu 610225,China)
Abstract:In order to use the AMDAR data in the conventional observation and monitor the characteristics of weather evolution more detailed,we utilized the AMDAR data from May 1st to 3rd of Shuangliu airport and analyzed the spatial-temporal distributions of AMDAR data.By comparing with the conventional high-altitude observation and study assimilation technology of the AMDAR data,we proposed the solution.By applying the solution to analyze the the conventional high-altitude observational data from May 1st to 3rd,it showed that,in the conventional high-altitude observation,the shallow trough from the east of plateau to basin moved out of the basin at 20:00 on the first day had in fact already moved out at 14:00,and the trough from Yanan had arose at that time.The results showed that the barometric height formula of isothermal atmosphere could replace the calculation of the high altitude air pressure and the application of AMDAR data could obtain a more accurate result than that of the conventional high-altitude observation.
Keywords:meteorology  meteorological data processing  AMDAR date  time-space distribution  system design
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