Yang Zhibiao, Li Zhonghua, He Ju. Impact evaluation for replacement of temperature-humidity sensor of automatic weather station. J Appl Meteor Sci, 2014, 25(2): 135-142.
Citation: Yang Zhibiao, Li Zhonghua, He Ju. Impact evaluation for replacement of temperature-humidity sensor of automatic weather station. J Appl Meteor Sci, 2014, 25(2): 135-142.

Impact Evaluation for Replacement of Temperature-humidity Sensor of Automatic Weather Station

  • Received Date: 2013-07-19
  • Rev Recd Date: 2013-12-20
  • Publish Date: 2014-03-31
  • To discuss the differences between automatic and manual observations for relative humidity and water vapor pressure, some comparative researches are implemented, analyzing the correlation coefficient, mean and variance between 38 long-time automatic observation meteorological stations and their adjacent stations in Hubei Province. Furthermore, based on the automatic and manual observations of four national reference climatological stations where the temperature-humidity sensors have been replaced 28 times from 2003 to 2011, impacts on relative humidity and water vapor pressure measurements are studied.The correlation coefficients for relative humidity, water vapor pressure between the checked station and its adjacent stations show a decreasing trend when mannual observation is replaced by automatic observation, the mean and variance for relative humidity and water vapour pressure are also obviously different, and these differences may be caused by the change of observation method.The relative humidity and water vapour pressure records jump caused by replacement of the temperature-humidity sensor appears in the ratio of 64%. The average relative humidity record jump is 3.4%, and the maximum reaches 8.5%, while the average for water vapor pressure is 0.74 hPa, and the maximum is up to 1.93 hPa.The main cause for such difference appearing at the same station as described above is that calibration error of indication, for old temperature-humidity sensor is much different from the new one when replacing. So improving the method of observation and perfecting the verification procedure of automatic weather station are vary important to ensure the homogeneity of data.Therefore, it suggests choosing the temperature-humidity sensor whose calibration error is smaller, and an error calibration module should be added to the data processing software or operational software of automatic weather stations.
  • Fig. 1  The correlation coefficient difference of checked stations and their adjacent stations between manual and automatic observed sequences

    Fig. 2  The monthly anomaly difference of the manual observed water vapor pressure between Macheng Station and Huanggang Station during 2004—2007

    Fig. 3  The monthly anomaly difference of water vapor pressure between the automatic and manual observation at Macheng Station during 2004—2007

    Fig. 4  The monthly anomaly difference of water pressure and relative humidity between Xiantao Station and its adjacent stations during 1991—2012

    Fig. 5  The daily change of relative humidity on average difference at Zhongxiang Staion from July 2006 to July 2007

    Fig. 6  The daily change of water vapor pressure on average difference at Zhongxiang Sation from July 2006 to July 2007

    Table  1  The number of stations of relative humidity, water vapor pressure failed to pass the significant test

    要素 单站序列 与邻近站差值序列
    平均值 方差 平均值 方差
    相对湿度 4 0 29 35
    水汽压 22 17 28 37
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    Table  2  The jumping value of relative humidity and water vapor pressure caused by the replacement of temperature-humidity sensor

    站名 更换时间 相对湿度跳变量/% 水汽压跳变量/hPa
    郧西站 2007-06-28 5.4 1.88
    2007-07-25 0.0 0.55
    2009-06-28 3.2 1.36
    2011-06-21 5.0 1.52
    恩施站 2003-03-18 1.1 0.07
    2003-10-27 8.5 1.42
    2004-04-15 1.8 0.02
    2006-10-31 4.9 0.51
    2007-02-09 1.7 0.14
    2007-05-15 0.6 0.09
    2007-06-18 0.8 0.37
    2009-02-16 4.4 1.00
    2009-05-18 1.8 0.06
    2010-02-03 2.0 0.08
    2011-05-17 3.0 0.98
    钟祥站 2004-11-06 6.7 1.18
    2006-11-04 4.5 1.16
    2006-12-27 7.3 0.75
    2007-06-14 2.2 0.78
    2008-10-28 1.6 0.34
    2009-03-26 5.8 0.68
    2011-12-08 2.8 0.26
    麻城站 2005-05-13 6.8 1.93
    2006-08-30 0.1 0.52
    2007-04-21 1.0 0.12
    2009-04-21 4.0 0.68
    2010-07-23 4.6 1.70
    2011-04-15 2.6 0.64
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    • Received : 2013-07-19
    • Accepted : 2013-12-20
    • Published : 2014-03-31

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