Accurate monitoring on adverse wind areafrom Doppler radar images is of great significance in the fast and automatic warning system of severe weather.In this paper,an in-depth study on the structural features of adverse wind area of Doppler radar radial velocity image iscarried out,then an accurate and automatic monitoring algorithm is designed and implemented which runs as follows.Firstly,the Doppler radar radial velocity color image is processed into two binary images,namely the positive speed binary image and the negative speed binary image,based on the color bar.Secondly,the two binary images are operated by morphology for de-noising.After that,the above four images are operated together by cross logic and the monitoring result with some related parameters are obtained accurately.In order to show the effectiveness of this algorithm,forty-seven Doppler radar radial velocity images include one or more adverse wind areas,from Changsha Radar Station of Hunan province,are tested.All experiments present an exciting result that the proposed algorithm can be 89% in accuracy,which is extremely effective for practical application.