Abnormal anti-cyclone in ocean atmosphere and sports swimming strength training based on target tracking algorithm

Using the best tropical cyclone path data set provided by the Shanghai Typhoon of the China Meteorological Administration, the 2474 site data provided by the CMA, and the China ground precipitation daily value grid data set (V2.0), based on objective weather analysis techniques, this paper first conducts TC precipitation Separate and propose a decomposition method for TC precipitation influencing factors to analyze the climate characteristics of continental tropical cyclone precipitation and its influencing factors, then use ERSSTv5 sea temperature data to study the characteristics of TC precipitation in the four phases of ENSO through synthetic analysis methods, and use the abnormal cause diagnosis method analyzes its possible causes. From the point of view of the magnitude, the EPW and CPC phases show an abnormal decrease, while the CPW and EPC phases show an abnormal increase; from the perspective of the spatial distribution characteristics of abnormal TC precipitation, the spatial distribution of EP-type ENSO presents a southwest-northeast distribution, while the CP-type ENSO presents uniformity throughout the region. At the same time, in order to improve the special physical abilities of swimmers, the physical strength training of swimmers should be adjusted according to different swimming styles and closely coordinated with special techniques. At present, the physical training methods of swimmers cannot fully meet the functional requirements of various special swimmers. Therefore, in various swimming events, how to carry out the highly combined design of physical training methods under different swimming postures is a problem worthy of discussion. Based on this, this article simulates the athlete’s physical training through the target tracking algorithm, which can improve the athlete’s professionalism.