Tornado Vortex Signature Recognition Algorithm based on Real-time Weather Radar Data

The process of identifying the generation and development of tornadoes using weather radar data is conducive to improving the accuracy and time of early warning forecasts for tornadoes. The tornado recognition algorithm mainly determines the tornado occurrence and area of influence by identifying tornado vortex signature in velocity data. In this paper, firstly, the possible occurrence area of tornado is detected by the motion detection algorithm, secondly, the tornado vortex signature is recognized in this area, finally, the tornado occurrence position is determined by the fuzzy logic algorithm. In order to verify the effectiveness of the proposed algorithm, the tornado radar data collected in Jiangsu Province in the past ten years was used to detect the tornado location. Experimental results show that the proposed algorithm can more accurately identify tornadoes in weather radar data than TVS detection algorithms.