安徽自動站運行效能統計特征分析與診斷
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Analysis and Diagnosis of Statistical Characteristics of AWS Operation Efficiency in Anhui
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    摘要:

    從自動氣象站業務運行特點出發,以ASOM監控安徽省81套國家級自動氣象站運行為基礎,統計評估了2010年自動站業務運行到報率、可用性的效能情況。根據基準站、基本站和一般站逐月運行效能統計特征,分析了未到報、報文格式錯誤和數據錯誤3者對可用性的影響,針對報文格式錯誤的個案特征,重點研究了出現報文格式錯誤與人機交互發報操作時間的定量關系,得到了定量化的發報閾值時間小于等于45 s。為提高自動氣象站運行能力和業務質量,提出了解決報文字節格式錯誤的可行措施。

    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,吳奇生,趙寶義,華連生,竇煒明,呂剛.安徽自動站運行效能統計特征分析與診斷[J].氣象科技,2012,40(5):750~754

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  • 收稿日期:2011-05-23
  • 定稿日期:2011-11-11
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  • 在線發布日期: 2012-10-29
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