RVM (relevant vector machine) method for maximum wind radius and typhoon eye dimension modeling

Abstract

The invention discloses an RVM (relevant vector machine) method for RMW (radius of maximum wind) and typhoon eye dimension modeling, in order to establish a model of eye typhoon RMW and typhoon eye dimension based on the RVM. Hereto, according to the invention, the method comprises the following steps of: estimating the RMW through calculating the distance between the coldest temperature point at the top of the cloud and the warmest point within an eye wall on a typhoon cloud picture; dividing the typhoon eye based on patial differential equation, and measuring the dimension of the typhoon eye by the perimeter of the eye wall; and finally establishing the model of the RMW and the typhoon eye dimension based on the RVM, and comparing with the modeling methods of SVM (support vector machine), linear regression, radial basis function neural network and the like. Because the technical scheme provided by the invention is adopted, a good modeling result can be obtained; and compared with other modeling methods, the RVM-based modeling effect has much smaller errors, so that the inner core structure of a wind field at the low layer of typhoon can be depicted favorably.

Description

technical field [0001] The invention belongs to the field of weather monitoring. Specifically, it involves a correlation vector machine method for modeling the maximum wind radius and typhoon eye size for the purpose of improving the typhoon wind speed prediction accuracy. Background technique [0002] my country is one of the countries most severely affected by typhoons in the world. When typhoons come, they cause huge economic losses and threaten people's lives in the southeastern coastal areas of my country. How to deal with the typhoon correctly and minimize the economic loss when the typhoon lands is related to the vital interests of the country and the people, so the accurate forecast of the typhoon has become an important measure to prevent disasters. The wind field information reflects the change of typhoon intensity, and the accuracy of typhoon forecast can be improved by reasonably selecting various intelligent algorithms for wind field inversion. [0003] At pre...

AI Technical Summary

Problems solved by technology

For the monitoring of typhoon middle and high-level wind field, although the advanced technology of cloud trace wind retrieval of National Satellite Center can be used, the information of typhoon core wind field cannot be retrieved.

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