基于新型自動站運行狀態的數據質量判識
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Judgment on Observation Data Quality Based on Operation Status Information of NewType Automatic Weather Stations in China
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    摘要:

    通過統計新型自動氣象站相關設備監測點運行狀態信息及同時段地溫、氣壓、氣溫、濕度、風、降水6要素數據質量的正?;虍惓nl率,對觀測要素數據與設備狀態信息做了相關性分析,并針對各要素統計了相關狀態監測點的命中率、誤警率等指標。結果表明通信狀態、設備自檢狀態及傳感器3個監測點運行正常時與觀測數據間的一致性較好,正常命中率高于96%,而采集器、通信接口、計數器、AD、主板溫度等部件狀態異常時與觀測數據間一致性較差,異常命中率低于3%。利用國內新型自動站運行狀態文件來輔助判斷相關觀測要素質量,雖然在應用中還存在一定問題和需改進方向,但有利于改進數據質量控制方法、提高數據的真實性和可用性。

    Abstract:

    Based on the statistics of normal and abnormal frequencies of the monitoring status and data quality of ground temperature, pressure, temperature, humidity, wind and precipitation from newtype automatic meteorological stations, the correlation analysis between observation data and equipment status information is conducted, and the accuracy rate and error rate are calculated in this paper. The results show that there is a good consistency between observational data and communication status, equipment selftest status and sensors, with normalaccuracy rate exceeding 96%, while the consistency between observational data and the collector, communication interface, counter, AD and motherboard temperature, etc., is poor, with abnormalaccuracy rate less than 3%. The operational status information of domestic newtype AWSs is utilized for the quality judgment of observation elements for the first time. Although there are still certain problems in application needing improvement, this study is of significance for improving the data quality control methods and promoting the authenticity and availability of AWS’s data.

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周青,賈樹澤,張樂堅,劉銀鋒,李雁,李峰,秦世廣.基于新型自動站運行狀態的數據質量判識[J].氣象科技,2017,45(6):980~987

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  • 收稿日期:2016-11-30
  • 定稿日期:2017-03-30
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  • 在線發布日期: 2017-12-28
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