Abstract:Wind observation data are very important in weather research and forecasting. The IVAP technique, which is based on the azimuth uniform assumption retrieval relationship, offers good compatibility and practical simplicity for 2-D wind field retrieval. In this paper, the large-scale precipitation events from July to August 2020 are selected, and the wind fields from the Doppler radar network are retrieved by the IVAP method. At the same time, the quality of the retrieved wind fields is evaluated and analyzed with the seconds-sounding data as a reference. The results indicate that the retrieved wind fields of Doppler radar network have a high correlation with the sounding data, and the quality of wind direction data is better than the wind speed data with altitude rising. The quality of the retrieved winds is better in precipitation areas than in the non-precipitation areas. Moreover, the quality of wind field and the stability of vertical profile are the best in precipitation areas, but the quality of the retrieved winds is the worst in clear sky areas, especially when the altitude is higher than 4 km. The retrieved winds of a scattered precipitation process on 6 July 2019 are further analyzed, which demonstrates that the retrieved wind field can reasonably reproduce the dynamic field characteristics such as vortex structure and shear line of the upper wind field. This study shows that based on the single Doppler radar wind field retrieval, the IVAP method has the ability to retrieve wind fields of Doppler radar network, so the method will have a good application prospect in practical operations, and can provide a better basis for weather forecasting services and wind data assimilation.