Tropical cyclone objective classification method based on characteristic factors

Abstract

A tropical cyclone objective classification method based on characteristic factors comprises the following steps: calculating the physical indicators of tropical cyclones based on the historical data of tropical cyclones, and objectively quantifying tropical cyclones; standardizing the physical indicators of tropical cyclones, and selecting characteristic factors used for representing tropical cyclones through comparison; multiplying each characteristic factor by a weight index to form a clustering data set; and initializing the clustering center, and clustering tropical cyclones based on a clustering algorithm to get a classification result. According to the invention, the physical indicators of tropical cyclones (TCs) are taken as the characteristic factors for representing TCs, so that the characteristic attributes of TCs can be depicted more comprehensively and objectively. TCs are clustered through a clustering algorithm based on the characteristic factors of TCs, the obtained classification result can directly reflect the association and difference between different types of TCs and objectively reflect the characteristic change law of TCs, and thus, a decision support is provided for early warning for TCs and disaster prevention.

Description

technical field [0001] The invention relates to a method for classifying tropical cyclones. In particular, it involves an objective classification method of tropical cyclones based on characteristic factors that can objectively characterize the characteristic attributes of TCs. Background technique [0002] Tropical cyclones (TCs) are powerful cyclonic eddies formed on the tropical ocean surface. They are one of the most frequent meteorological disasters in the world. During their occurrence, they are often accompanied by strong winds, heavy rains, storm surges, and even landslides. Secondary disasters such as mudslides and mudslides pose a huge threat to human life and property safety. [0003] The classification of TCs is an important way to obtain the changing rules of TCs characteristics and evaluate TCs disasters. Nakamura et al. (2009) adopted the mass moment method when studying the characteristics of TCs in the North Atlantic Ocean. This method regards the path of ...

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Problems solved by technology

[0004] The TCs characterization parameters used by the mass moment method mainly consider the path shape and wind speed of TCs, but information such as life history, strength, and energy are not used to characterize TCs. Therefore, there are certain limitations in the quantification of TCs; When calculating the weights of the five characterization parameters of TCs, the weights used by different scholars are different. For example, Nakamura et al. (2009) used the wind speed as the weight, and Zheng Yingqing et al. (2013) used the root mean square of the wind speed as the weight. Lacking a strict theoretical basis, the quantification of TCs is somewhat subjective

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