利用AMDAR数据分析厦门、泉州双雷达三维风场反演误差
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国家自然科学基金资助项目(41705045)


Error analysis of the three-dimensional wind field retrieval from the Xiamen-Quanzhou radars by using AMDAR data
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    摘要:

    利用2016年全年进出厦门机场和晋江机场航班的AMDAR(Aircraft Meteorological DAta Relay)数据对双雷达反演风场进行检验,分析了厦门、泉州双雷达风场反演的总体误差,研究结果表明:1)验证了双雷达连线附近区域反演风场的平均绝对误差较大,发现了与两部雷达连线的夹角小于15°和大于165°的区域的反演结果的平均绝对误差明显大于误差的年平均值。2)对于反演风向而言,误差随着高度增加而减小。对于反演风速而言,高度在9 km以下的反演误差在5 m/s左右,而9 km以上的反演误差较小。3)剔除了双雷达连线附近区域(与两部雷达连线的夹角小于15°和大于165°的区域)和反射率因子小于5 dBZ以及等于100 dBZ(剔除非气象回波)的反演结果后,双雷达反演风场误差较小,相对于AMDAR数据的风向年平均绝对误差为29.4°,风速年平均绝对误差为3.28 m/s,总体误差在可接受范围之内,反演结果接近“真值”,该反演方法稳定可靠。

    Abstract:

    The present paper uses the Aircraft Meteorological Data Relay(AMDAR) data of flights from Xiamen and Jinjiang Airports in 2016 to test the wind field retrieval from dual-Doppler radars,then analyzes the total error of the wind field retrieved from the Xiamen and Quanzhou Doppler radars.The study results indicate the following:1)The mean absolute error of the wind field retrieval in the vicinity of the dual-Doppler radars connection is apparent.The mean absolute error of the retrieval result in the region where the angle between the two radars is less than 15 degrees and greater than 165 degrees is significantly higher than the annual average value.2)The wind direction field retrieval error decreases with increasing height.In addition,for the wind speed field retrieval,the error below 9 km is about 5 m/s,while that above 9 km is small.3) After eliminating the retrieval results in the area near the dual radar connection (i.e.the angle between the two radar connection is less than 15 degrees and greater than 165 degrees) and the reflectivity factor is less than 5 dBZ and equal to 100 dBZ (non-meteorological echo),the error of wind field retrieved by dual-Doppler radars is less significant.Furthermore,the annual mean absolute error of the wind direction relative to the AMDAR data is 29.4°,while that for the wind speed is 3.28 m/s.Overall,the retrieval results are close to the "true values",and the wind retrieval method is shown to be stable and reliable.

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  • 收稿日期:2019-04-01
  • 最后修改日期:2019-09-25
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  • 在线发布日期: 2020-08-31

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