风廓线雷达与天气雷达风廓线数据的融合及应用

Upper-level wind data can be derived from wind-profiling radar (WPR) network and Doppler radar network. In order to apply upper-level wind data comprehensively to make full use of radar network in the field of weather analysis and numerical forecast, comparison and integration analysis of wind profiles for WPR and weather radar are conducted. After evaluating the utility and feasibility of WPR data and VAD wind profiles (VWP) by comparing with vertical profiles of horizontal winds provided from rawin-sonde located in the southern suburbs of Beijing in July 2015, this paper analyzes differences of temporal and spatial representation of the two upper-level wind data. Furthermore, different periods of WPR data are compared with VWP data to decide the optimal time resolution for integration analysis of the two kinds of wind data. Then, integration analysis is conducted by merging wind component measurements for WPR network and Doppler radar network of Guangdong Province in May 2014. The results indicate that WPR and rawinsonde data are in good agreement with root mean square error (RMSE) 2. 3 m.s_1, and VWP data concides with RMSE 2. 5 m.s_1. RMSE of 60 min averaged WPR data and VWP data is the lowest by comparing with that of 30 min averaged data and 6 min averaged data, and the optimal time scale for integration analysis is 60 min. Objective integration analysis field of wind data derived from WPR network and Doppler radar network can enrich the mesoscale wind field information, especially at low level.