The Error Wind Data Processing Based on Radial Power Spectrum of Wind Profiler Radar

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.