Aiming at the problem of the global frequent extreme weather conditions, it is more important to discover the appearance of the disaster weather. With the rapid development and wide application of data mining technology. In this paper, it uses improved FP-growth algorithm to mining the possible correlation between various meteorological factors, so as to find the weather characteristics and forecast the near future weather condition. The simulation results show that the improved algorithm has a significant improvement in the accuracy of weather forecast.