| Doppler weather radar can detect wind speed through the Doppler effect,and can also obtain information such as reflectivity and spectral width.It is an effective tool for monitoring wind speed meteorology and tracking weather phenomena on a small and medium scale.In the analysis of the wind field and the work of warning of strong winds,the inversion of the wind field structure is mainly carried out using radar velocity data.Studies have shown that the traditional Doppler weather radar wind field inversion adopts a fixed azimuth angle,which limits the resolution of the inversion and to a certain extent,causes the loss of wind field information.At the same time,the traditional algorithm is based on the assumption of a uniform wind field,ignoring the effect of non-uniform wind field,resulting in inaccurate wind field information and difficulty in ensuring the authenticity of the wind field.In response to these issues,research on the angle-smoothed wind field inversion algorithm has been carried out based on existing research,constructing a more accurate wind field structure and improving the quality of the inversion.The main research contents are as follows:(1)Analyze the basic data structure of the Xi’an airport 716A-43 Doppler weather radar,obtain and export the basic data,and construct a radar radial wind field data set;(2)Analyze the geographical characteristics of Xi’an airport,define the study area,and carry out outlier elimination,missing value processing,and smoothing filtering on the radar basic data to achieve the purpose of quality control of the radar data;(3)Improve the VAP algorithm and propose the angle-smoothed vector averaging processing algorithm(AVAP)based on it,and invert the wind field data after quality control;(4)Compare and verify the inversion results with the radar velocity field and the inversion results of the VAP algorithm,and analyze that the accuracy of the wind speed field inverted by AVAP has been improved and the phenomenon of wind field loss has been reduced;(5)Analyze the wind field inverted by AVAP algorithm and propose methods for subsequent improvements. |