System for discriminating similar tropical cyclone (TC) paths

Abstract

The invention discloses a system for discriminating similar tropical cyclone (TC) paths. The system includes a path preprocessing module for preprocessing TC paths; a path morphology discrimination module for respectively calculating the extreme point segmentation degree of any two optional TC paths and the overall moving direction and overlap degree in the east-west direction; a radial class pathidealization module for receiving the two TC paths of the path morphology discrimination module and determining whether the two TC paths satisfy radial class similarity conditions and zonal class similarity conditions; a zonal class path idealization module for receiving the two TC paths of the path morphology discrimination module from the path morphology discrimination module and transforming atriangle into two radial class idealized paths; a similarity index calculation module for receiving the radial class idealized paths and calculating a similarity area index of the radial class idealized paths; and a similarity index determination module for determining and outputting a similarity index according to the number of paths in the two paths the extreme points of the latitude do not approach the end based on the two paths.

Description

technical field [0001] The weather forecast technology of the present invention is particularly a system for judging the similarity of tropical cyclone paths. Background technique [0002] Although great progress has been made in numerical forecasting of tropical cyclones (Tropical Cyclone, referred to as TC), similar forecasting still has irreplaceable value as an important supplementary method. An important topic in similarity forecasting is path similarity. There are many analyzes in existing studies on how to characterize the similarity of TC pathways. [0003] A TC path is the result of the comprehensive effects of various physical factors affecting TC movement; similar TC paths reflect the factors affecting TC movement to a certain extent, and their comprehensive effects are equivalent. Based on the above considerations, Chen Lianshou et al. (1979) summarized three criteria that TC path similarity should meet: similarity in season, similarity in geography, and simila...

AI Technical Summary

Problems solved by technology

[0004] It can be seen that the above-mentioned TC path similarity index or standard is either relatively complicated and not easy to calculate; or it is too simple and only takes whether it passes through a fixed area as the standard

Images