Stepped frequency microwave radiometer data-based identification system of tropical cyclone strong wind circle

Abstract

The invention relates to a stepped frequency microwave radiometer data-based identification system of a tropical cyclone strong wind circle. The identification system comprises the steps of (1) determining stepped frequency microwave radiometer (SFMR) observation tropical cyclone and date; (2) for each observation tropical cyclone and date, sequentially reading optimal path data, reading SFMR data, deleting aircraft taking-off and landing process data, converting the data to a three-dimensional array of time, distance and observation, deleting low-quality data, performing time-space averagingto obtain an air speed changing curve of the tropical cyclone, deleting the low-quality data, identifying a force 7 wind circle and a force 10 wind circle, and identifying maximum air speed radius; and (3) judging whether all tropical cyclones and dates are calculated or not. Observation data of an SFMR is utilized, and the identification system can be effectively applied to tropical cyclone strong wind circle identification by a series of data quality control. Not only is a foundation laid for domestic development of SFMR observation data, but also provides help for understanding of a tropical cyclone structure and disaster early-warning.

Description

technical field [0001] The present invention relates to a tropical cyclone strong wind circle identification system, in particular to a system that applies SFMR data to the identification of tropical cyclone strong wind circle for the first time, which can not only effectively utilize the SFMR data, but also provide a more accurate understanding of the tropical cyclone wind field structure Tropical Cyclone Strong Wind Circle Identification System Based on Stepped Frequency Microwave Radiometer Data. Background technique [0002] Tropical cyclones (called typhoons in the Northwest Pacific, hurricanes in the Atlantic and East Pacific, and cyclones in other sea areas) are one of the most destructive weather systems, and the strong winds, heavy rains and secondary disasters caused by them often bring Huge loss of life and property. Accurately identifying the strong wind circle of a tropical cyclone is of great help in understanding its structure and preventing its disasters. ...

AI Technical Summary

Problems solved by technology

The Shanghai Typhoon Research Institute has purchased the first SFMR instrument in China, and it will soon be put into the typhoon field scientific experiment. However, there is no identification technology of sea tropical cyclone strong wind circle based on SFMR data in China. The application of this technology will help to fill this field blank

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