贵州风廓线雷达数据质量评估

Quality Assessment of Wind Profiler Radar Data in Guizhou Province

  • 摘要: 为了评估贵州风廓线雷达数据质量,本文选取贵州及其周边探空观测数据,通过对比分析误差特征量,验证了ERA5再分析资料中水平风场的可靠性,并在此基础上,利用ERA5再分析数据对贵州3部对流层风廓线雷达(贵阳、威宁、普安)逐小时水平风场数据进行质量评估。结果表明:(1)ERA5与探空的水平风误差标准差和平均偏差均较小,其水平风数据能够用于检验贵州风廓线雷达水平风的数据精度;(2)风廓线雷达数据质量随质量控制等级提升显著改善,同等级下V分量(南北向)精度优于U分量(东西向),U分量站点差异明显(威宁最优,贵阳最差);(3)风廓线水平风数据质量受降水影响较大,特别是在2 km以上,降水导致其误差标准差增大约1 m/s;(4)风廓线雷达水平风场数据质量呈季节差异(夏季最高,冬季最差),U分量的季节差异较V分量大,但其昼夜波动较小,而V分量在2~4 km高度的昼夜差异较大。

     

    Abstract: To evaluate the quality of wind profiler radar data in Guizhou, this study selects sounding observation data from Guizhou and its surrounding areas, and verifies the reliability of horizontal wind fields in the European Centre for Medium-Range Weather Forecasts Fifth Generation Global Atmospheric Reanalysis (ERA5) through comparative analysis of error characteristic parameters. On this basis, this study adopts ERA5 reanalysis data to evaluate the quality of hourly horizontal wind field data from three tropospheric wind profiler radars (Guiyang, Weining, and Pu'an) in Guizhou. The results indicate that: (1) ERA5 exhibits small standard deviations and mean biases of horizontal wind errors compared with sounding data, demonstrating its applicability for validating the accuracy of wind profiler radar horizontal wind data in Guizhou. (2) The quality of wind profiler radar data is significantly improved with the improvement of quality control levels. Under equivalent quality control, the meridional (south-north, V) component shows better precision than the zonal (east-west, U) component, and the U component presents obvious station differences (Weining performs best, Guiyang performs poorest). (3) Precipitation exerts a great impact on the quality of wind profiler horizontal wind data, especially at heights above 2 km, where precipitation increases the error standard deviations by approximately 1 m/s. (4) The quality of wind profiler horizontal wind data displays seasonal variations (highest in summer, poorest in winter). The U component has larger seasonal differences than the V component, with minor diurnal fluctuations. In contrast, the V component exhibits a relatively large diurnal difference at altitudes of 2~4 km.

     

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