Abstract: This paper summarizes the progress in objective position methods of tropical cyclone center based on satellite remote sensing from four new perspectives. They are cloud pattern recognition, wind field analysis, temperature/humidity structure inversion, and tempo-spatial movement matching. The four methods’ principles and realization processes are introduced, as well as their advantages, disadvantages and applicability. Finally, this paper concludes that although most of the above methods are still at exploratory research phase, their many features are better than the traditional positioning method of artificial visual interpretation, which will make them inevitable in locating tropical cyclone center. Comprehensive comparison also points out that one hybrid intelligent algorithm combined with motion characteristics will be the research and development tendency of tropical cyclone center location technology in future. Besides, it is necessary to establish an integrated tropical cyclone center positioning system that synthesizes various data and algorithms, which will be conducive to improve the stability and accuracy of tropical cyclone center positioning.

Key words: tropical cyclone, objective position of tropical cyclone center, satellite remote sensing