安徽自动站运行效能统计特征分析与诊断
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Analysis and Diagnosis of Statistical Characteristics of AWS Operation Efficiency in Anhui
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    摘要:

    从自动气象站业务运行特点出发,以ASOM监控安徽省81套国家级自动气象站运行为基础,统计评估了2010年自动站业务运行到报率、可用性的效能情况。根据基准站、基本站和一般站逐月运行效能统计特征,分析了未到报、报文格式错误和数据错误3者对可用性的影响,针对报文格式错误的个案特征,重点研究了出现报文格式错误与人机交互发报操作时间的定量关系,得到了定量化的发报阈值时间小于等于45 s。为提高自动气象站运行能力和业务质量,提出了解决报文字节格式错误的可行措施。

    Abstract:

    The characteristics of automatic weather stations (AWS) operation efficiency are discussed, by means of the data from 81 AWS stations over Anhui Province monitored by the Atmospheric Observing System Operations and Monitoring (ASOM), and the arrival rate and availability of AWS operation data in 2010 are statistically estimated. The statistical characteristics of operation efficiency of standard stations, basic stations, and general stations are studied month by month, and the influencing factors on operation availability are also analyzed, in allusion to the characteristics of the format error cases of data. The quantificational relation between data format errors and human computer interaction is studied emphatically, and it is determined that the quantificational threshold of data transmitting time is less that 45 seconds. In order to improve the performance and data quality of AWSs, some feasible measures are presented for eliminating format errors.

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董德保,吴奇生,赵宝义,华连生,窦炜明,吕刚.安徽自动站运行效能统计特征分析与诊断[J].气象科技,2012,40(5):750~754

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历史
  • 收稿日期:2011-05-23
  • 定稿日期:2011-11-11
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  • 在线发布日期: 2012-10-29
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