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The Error Wind Data Processing Based on Radial Power Spectrum of Wind Profiler Radar
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摘要: 选取上海市世博园区站、金山站和嘉定F1赛车场站3个风廓线雷达站2012年3月7日凌晨一次降水过程生成的错误水平风场数据，通过对比该时段高、低模式扫描实时径向功率谱数据，指出在降水初期风廓线雷达软件质量控制出现错误的原因，并重新识别错误时段的功率谱，反演水平风场数据。分析表明：在降水初期由于风廓线雷达各波束探测的数据在空间上不一致，易导致雷达软件采用的质量控制算法并不能全部识别和消除降水对数据的干扰，从而出现偏差。基于风廓线雷达高时空分辨率径向功率谱数据的分析处理方法可有效验证雷达软件质量控制算法，且经过该方法反演后的水平风场更为合理。Abstract: Wind profiler radar is a new generation of radio sounding wind detecting system, which takes atmospheric turbulence backscattered signal as its main detecting object. It is the most direct source to obtain high-altitude wind data in addition to the sounding data. In recent years, researches on the wind profiler radar detection are widely carried out during precipitation periods. It shows that the signal to noise ratio (SNR), the refractive index structure constant (CN2), horizontal speed, vertical wind speed and other information provided by the wind profiler could help to know the precipitation process, and clearly reflect the start time and the intensity of precipitation. The real-time high resolution radial power spectrum data provided by wind profiler radar, can not only be used to extract the wind data, but also estimate the height range of freezing layer and verify quality control performance of the wind profiler radar software. The application of wind profiler radar data is no longer limit to only study the clear air atmosphere.However, during a precipitation process, especially at the beginning of the precipitation, uneven rainfall leads to inconsistent beams in the space, and the quality control (QC) algorithm of the software used in radar cannot identify and eliminate all interference made by precipitation, leading to horizontal wind data errors.In order to improve data quality, the radial wind power spectrum data of wind profiler radar is analyzed to find out QC problems and identify and remove erroneous data. First, under the premise of fully knowing the principle of software QC method, the location and cause of software QC judgment errors are identified by progressively comparing the radial power spectrum data of the high and low mode. And then, the radial power spectrum data in problem period is reprocessed. Finally, the wind data is recalculated. Case analysis shows that the error wind data processing based on radial power spectrum of wind profiler radar could improve software QC methods and improve the quality of wind profiler radar data.
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图 1 2012年3月7日00:00—00:45上海世博园区风廓线雷达站点风羽产品图
Fig. 1 The wind product plot of Shanghai Expo wind profiler site during 0000-0045 BT on 7 Mar 2012
图 2 2012年3月7日00:20—00:38上海天气雷达反射率因子图
Fig. 2 The Shanghai weather radar reflectivity echoes during 0020-0038 BT on 7 Mar 2012
图 3 2012年3月7日00:15—00:40上海世博园区风廓线雷达站高模式径向功率谱
Fig. 3 The high mode radial wind power spectra plots of Shanghai Expo wind profiler site during 0015-0040 BT on 7 Mar 2012
图 4 2012年3月7日00:15—00:40上海世博园区风廓线雷达站三波束低模式径向功率谱
Fig. 4 The low mode radial wind power spectra plots of Shanghai Expo wind profiler site during 0015-0040 BT on 7 Mar 2012
图 5 2012年3月7日00:15—00:40上海世博园区风廓线雷达站经过质量控制后的风羽产品
Fig. 5 The wind product plot after reprocessing and inversion of Shanghai Expo wind profiler site during 0000-0045 BT on 7 Mar 2012
图 6 上海金山站和F1赛车场站2012年3月7日00:00—00:35风廓线雷达风羽产品对比
(a) 金山站质量控制前风羽产品，(b) 金山站质量控制后风羽产品， (c) 嘉定F1赛车场站质量控制前风羽产品，(d) 嘉定F1赛车场站质量控制后风羽产品
Fig. 6 The wind product comparison chart of Jinshan and Jiading F1 racing sites wind profilers in Shanghai during 0000-0035 BT on 7 Mar 2012
(a) Jinshan site wind product before quality control, (b) Jinshan site wind product after quality control, (c) Jiading F1 racing site wind product before quality control, (d) Jiading F1 racing site wind product after quality control
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