Tropical cyclone objective classification method based on characteristic factors

A tropical cyclone and characteristic factor technology, applied in instruments, character and pattern recognition, computer parts, etc., can solve the problem of lack of theoretical basis for weight values

Active Publication Date: 2016-12-21
TIANJIN UNIV
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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...

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  • Tropical cyclone objective classification method based on characteristic factors
  • Tropical cyclone objective classification method based on characteristic factors
  • Tropical cyclone objective classification method based on characteristic factors

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[0082] In this example, the tropical cyclone (tropical cyclones, TCs) data comes from the China Meteorological Administration Tropical Cyclone Data Center (http: / / tcdata.typhoon.gov.cn / ), including TCs in the Northwest Pacific Ocean (including the South China Sea) from 1949 to 2013 The year, serial number, grade, latitude and longitude position every 6 hours, the average maximum wind speed (MSW) near the center of the bottom layer in 2 minutes and the minimum air pressure at the center, choose MSW≥10.8m·s -1 (TCs intensity up to tropical depression and above) and life history ≥ 24h 2079 TCs were used as research objects.

[0083] Step 1: Based on the historical data of tropical cyclones, calculate the physical indicators of tropical cyclones to realize the objective quantification of tropical cyclones.

[0084] The physical indicators of the tropical cyclone include the life history of the tropical cyclone, path length, displacement, path trend, straightness ratio, cumulative ...

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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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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/23213
Inventor 颜东谊马超刘青青许红师
Owner TIANJIN UNIV
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