Tropical cyclone automatic intensity determination method based on active and passive microwave remote sensing observation

A tropical cyclone, active and passive technology, applied in the direction of material analysis, measurement devices, climate sustainability, etc. by using microwave means, to achieve the effect of simple processing, high stability, and easy operation

Active Publication Date: 2019-08-13
三亚中科遥感研究所 +1
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AI Technical Summary

Problems solved by technology

For weak tropical cyclones with poor organization or rapidly intensifying / weakening tropical cyclones, the Dvorak technique has certain difficulties to face

Method used

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  • Tropical cyclone automatic intensity determination method based on active and passive microwave remote sensing observation
  • Tropical cyclone automatic intensity determination method based on active and passive microwave remote sensing observation
  • Tropical cyclone automatic intensity determination method based on active and passive microwave remote sensing observation

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Embodiment 1

[0112] see figure 1 As shown, in Example 1, the collection time is the brightness temperature and sea surface temperature of the microwave scatterometer (HY-2A) and microwave radiometer (SSMIS) within the range of 0.5-2.5 degrees latitude and longitude of the center of the typhoon within one hour of the transit time. wind field.

[0113] The HY-2A microwave scatterometer is equipped with a Ku-band rotating fan beam scatterometer (KU-RSCAT), which is currently the only active pencil scatterometer. It transits at the descending node at 6:00 local time and at the ascending node at 18:00 local time. The F17 SSMIS microwave imager carried on board the Defense Meteorological Satellite Program (DMSP) was selected in this invention. SSMIS is a passive microwave radiometer that provides information such as brightness and temperature of the ocean surface. SSMIS has 7 bands on 4 frequency bands (19GHz, 22GHz, 37GHz and 91GHz) (except 22GHz which only has V polarization). The microwav...

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Abstract

The invention discloses a tropical cyclone automatic intensity determination method based on active and passive microwave remote sensing observation. The method is based on a correlation vector machine combined with tropical cyclones obtained through active and passive microwave remote sensing observation. The method comprises: automatically acquiring brightness temperature of the microwave radiometer and information of a sea surface wind field of the microwave scatterometer; and then according to the tropical cyclone intensity estimation model, processing brightness temperature and sea surface wind field information within the range of passing time close to one hour and latitude and longitude of the typhoon center of 0.5-2.5 degrees, and finally obtaining the tropical cyclone grade of theground near the tropical cyclone center. The method is simple in processing process, high in practicability, low in cost, high in precision and easy to operate, and does not need any assumption for the performance of the tropical cyclone intensity estimation system.

Description

technical field [0001] The invention relates to remote sensing data processing in the typhoon field, and more particularly refers to a method for automatically determining the intensity of tropical cyclones based on active and passive microwave remote sensing observations. Background technique [0002] Typhoon is a strong cyclonic vortex that occurs on the tropical ocean surface, also known as tropical cyclone. The severity and frequency of disasters caused by typhoons have attracted the attention of the world. Typhoons cause great harm and strong destructive power. When a typhoon strikes, it is often accompanied by strong winds, heavy rain, huge waves and storm surges, and sometimes tsunamis. According to the report of the World Meteorological Organization, about 20,000 to 30,000 people die from typhoons every year in the world, and the direct economic losses amount to billions of dollars. More than 70% of the shipwrecks are related to typhoons and tropical storms, so peopl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G01N22/00
CPCG06F17/18G01N22/00Y02A90/10
Inventor 杨晓峰相坤生汪胜马文韬于暘刘桂红李紫薇
Owner 三亚中科遥感研究所
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