An Objective Classification Method of Tropical Cyclones Based on Eigenfactors

Abstract

An objective classification method for tropical cyclones based on characteristic factors, including: based on the historical data of tropical cyclones, calculating the physical indicators of tropical cyclones to realize the objective quantification of tropical cyclones; standardizing the physical indicators of tropical cyclones, and comparing and selecting It is used to characterize the characteristic factors of tropical cyclones; each characteristic factor is multiplied by the weight index to form a clustering data set; the cluster center is initialized, and the clustering algorithm is used to cluster the tropical cyclones to obtain the classification results. The present invention uses the physical indicators of TCs as the characteristic factors of TCs to describe the characteristic attributes of TCs more comprehensively and objectively; based on the characteristic factors of TCs, clustering algorithm is used to cluster TCs, and the classification results obtained can directly reflect different categories The correlation and difference of TCs objectively reflect the changing rules of TCs characteristics, and provide decision support for early warning of 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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