自動氣象站各要素傳感器檢定結果的不確定度分析
朱樂坤[1] 鄭麗春[2][1]中國氣象局大氣探測技術中心,北京100081 [2]湖南省氣象技術裝備中心,長沙410007摘 要:自動氣象站是由各要素的傳感器和數據采集器組成的.隨著時間的推移,各傳感器和數據采集器的測量誤差將會發生漂移.為確保各要素觀測數據的準確、可靠并具有可比性,定期開展自動氣象站的檢定和校準是非常重要的.通過檢定將各要素系統誤差控制在允許范圍內,并對檢定結果進行不確定度分析,是考察檢定結果可信程度的重要步驟.本文依據自動氣象站檢定規程及JJF1059-1999《測量不確定度評定與表示》的要求,并根據檢定數據,進行自動氣象站的各要素檢定結果的不確定度分析,對自動氣象站檢定結果可信度評估具有指導意義.[著者文摘]
關鍵詞:自動氣象站 各要素傳感器 檢定結果 不確定度分析
分類號: TP212[免標]文獻標識碼:文章編號:欄目信息:業務系統
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Uncertainty Analysis of Various Sensors Calibration Results for AWSZhu Lekun, Zheng Lichun 1 Atmospheric Observation Technology Center, China Meteorological Administration , Beijing 100081 ;2 Hunan Provincial Meteorological Technology Equipment Center, Changsha 410007Abstract:All measuring results contain errors. When using high accurate instruments, the measuring error is small; otherwise, the measuring error is big. If any measuring instrument doesn't pass the calibration or verification, its measuring value doesn't have a relation to trace the origins, so the measuring value is not trustworthy. AWS is composed of various meteorological sensors (air pressure, air temperature, ground temperature, air humidity, wind direction, wind speed, precipitation and so on), data-collecting, data-processing, data-storage and data-display, etc. It is the same as other ordinary meteorological instruments that as time goes on the measuring errors of various meteorological sensors and data-loggers will drift. In order to guarantee the accuracy, the reliability, the comparability on the measuring value, using the same standard meteorological instruments and relative calibration equipment in accordance with verification regulation or calibration specification and to carry out the periodical verification and calibration of various meteorological sensors and the data-collecting of AWS are very important. By means of the analysis on the calibration results' uncertainty, it is an importance stage to examine the reliability of the calibration or verification results. How to carry out the evaluation of the uncertainties of the verification results is the technique problem which usually occurs when setting up a standard and replying to the check. Because the instrument structure principle and the using environment conditions are different, the quantity of type B standard uncertainty is different. According to JJF1059-1999 "evaluation and expression of uncertainty in measurement", the method of the evaluation for type A standard uncertainty, the evaluation of synthesize standard uncertainty and the evaluation of expand uncertainty are the same. The evaluation of type B standard uncertainty is different. It must be noticed that, when carrying out the evaluation of the uncertainties in the measurement, it is not repeated and not left out. Otherwise, it will bring nonscientific or unjust judgment for the evaluation and expression of the uncertainties of the verification or calibration results. According to verification regulation of AWS, evaluation and expression of uncertainty in measurement (JJF1059-1999), the simplification evaluation of uncertainty in measurement and the verification or calibration data, the uncertainty of measuring results of different meteorological sensors will be analyzed in details, it has important instructional significance to the evaluation of the credibility of other type AWS and normal meteorological instruments verification result.[著者文摘]
Key words:AWS; various meteorological sensors ; calibration result ; uncertainty analysis
收稿日期: 2006-05-12修訂日期: 2006-08-08基金資助:
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