| One aspect that has received widespread attention is the short-term prediction of rainfall events, especially those that evolve on meso-time scales, which certainly include thunderstorm convection. Because thunderstorms are often accompanied by rapidly changing weather in spatial and temporal scales, and thunderstorms will bring weather hazards and phenomena that often adversely impact on professionals ranging from farmers to pilots. So there is a critical need to accurately predict their develop-ment, evolution, and movement.Based on the theory of wavelet fusion, this paper consideres the physical meaning of image data in wavelet fusion algorithm for the first time. This algorithm fuses the visible light images with high spatial resolution and rich texture detail to the infrared image, which can improve the saptial resolution of the infrared images, and increase the physical information. The method presented in this paper consider the physical meaning of the infrared and visible images. This paper uses multiwavelet to get the multi-resolution structure of the original data, and uses different fusion rules at every data multi-resolution structure level to get the multi-resolution stucture of the fusion data, which can be rebuild. This method not only get high-resolution infrared images, but also make the infrared channel data rich in physical information. The results show that:the fusion method is simple and has high precision, which is a new way of getting high-resolution infrared images.Then high-resolution infrared data were processed and analysed for the purpose of forecasting the potential CI region and a more earlier forecasting time. After fore-casting CI through the analysis of MTSAT image data of Beijing-Tianjin region, using radar data of the same time and the same area to test the CI forecasting result and adjusting the system parameters, a CI forecasting method was developed, which is suitable for China's geographical and obtained good prediction results. |
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