Research On Data Quality Control Of Wind Profile Radar

Wind profile radar (WPR) is a remote sensing equipment to sound atmospheric wind field and other variables, based on the backward scattering signal from atmospheric turbulent parcels or rain droplets. WPR-net has been already set up, becoming a part of meteorological synthesized detection system in China. Therefore, the research on WPR is of importance. Compared with other detection equipment, WPR measurement is easier to be affected by interference signal, and data quality control issues are urgently to be studied and solved. To make the WPR-net work well, an effective data quality control method must be exerted to improve the consistency and quality of WPR measurement, which will be certainly helpful to the WPR products.This paper firstly introduces the achievements on WPR data quality control in both China and abroad. Typical interferences from ground clutter, same frequency radio signal and precipitation are summarized, and the respective algorithms to process such an interference are explained. Two schemes of monitoring the WPR system noise level are proposed since the significance of noise. Cases of study reveal the effectiveness of the two schemes. The precipitation influence on WPR data quality is mainly studied, and a new method called spectrum separation method is proposed to minimize the influence on WPR data quality.Based on the WPR theory, the research work in the paper on WPR data quality control and data application lead to the conclusions as following.1. WPR data quality could be improved effectively by using specific method to filter out the interferences from ground clutter, same frequency radio signal and so on.2. Two methods for obtaining the WPR system noise level are proposed as power spectrum average method and threshold method. Case analysis shows that threshold method is better. The obtained noise level can be a good index to assess WPR performance.3. Precipitation will perturb the retrieved horizontal wind. However, such a perturbation can be suppressed if precipitation power spectrum data is got by adopting the proposed separation method.4. The rain drop size distribution retrieved from the separated rainfall power spectrum data is close to Marshall-Palmer Distribution, reflects the retrieval method is correct and rain drop size distribution is applicable...