康雪, 许晨, 张恬月. 不同降水强度下风廓线雷达谱矩特征与测风准确性分析[J]. 高原山地气象研究, 2020, 40(3): 90-95. DOI: 10.3969/j.issn.1674-2184·2020.03.014
引用本文: 康雪, 许晨, 张恬月. 不同降水强度下风廓线雷达谱矩特征与测风准确性分析[J]. 高原山地气象研究, 2020, 40(3): 90-95. DOI: 10.3969/j.issn.1674-2184·2020.03.014
KANG Xue, XU Chen, ZHANG Tian-yue. Analysis of Spectral Moment Features and Profiler Detection Accuracy of Wind Profiler Radar under Different Precipitation Intensity[J]. Plateau and Mountain Meteorology Research, 2020, 40(3): 90-95. DOI: 10.3969/j.issn.1674-2184·2020.03.014
Citation: KANG Xue, XU Chen, ZHANG Tian-yue. Analysis of Spectral Moment Features and Profiler Detection Accuracy of Wind Profiler Radar under Different Precipitation Intensity[J]. Plateau and Mountain Meteorology Research, 2020, 40(3): 90-95. DOI: 10.3969/j.issn.1674-2184·2020.03.014

不同降水强度下风廓线雷达谱矩特征与测风准确性分析

Analysis of Spectral Moment Features and Profiler Detection Accuracy of Wind Profiler Radar under Different Precipitation Intensity

  • 摘要: 本文讨论了风廓线雷达不同降水强度下的谱矩参数特征,并分析了不同降水强度下的风廓线雷达测风准确性,结果表明,风廓线雷达在毛毛雨(0~1mm/h)和小雨(1.1~2.5mm/h)时各波束测得的垂直速度一致性较好,对称波束分别测得的两组UV分量的差别较小,即风廓线雷达在毛毛雨和小雨这两个降水等级下测得的水平风可信度较高;而在中雨(2.6~8mm/h)和大到暴雨(>8.1mm/h)时各波束测得的垂直速度一致性较差,对称波束分别测得的两组UV分量差别偏大,即风廓线雷达在中雨和大到暴雨这两个降水等级下测得的水平风可信度较低,研究将为后续工作中对风廓线雷达降水数据的质量控制提供理论依据。

     

    Abstract: The analysis of spectral moment features and profiler detection accuracy under different precipitation intensity are presented with a good consistency of vertical velocities observed by different beams and a small difference on UV measured by symmetric beams under conditions of drizzle(0-1 mm/h) and light rain(1.1-2.5 mm/h),giving a higher reliability of profilers' horizontal wind detection. However,a bad consistency of vertical velocities observed by different beams a big difference on UV measured by symmetric beams with a lower reliability of profilers' horizontal wind detection has been shown in conditions of moderate rain(2.6-8 mm/h) and heavy or torrential rain(>8 mm/h). The conclusion will provide the theoretical foundation to the subsequent work of data quality.

     

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