| Strong convective weather is serious severe weather, often happen to small and medium scale weather system, life is short and with obvious sudden, caused heavy loss to people’s lives and property safety. Meteorological satellite remote sensing range is large, space-time resolution is high, is the world’s uniformã€many elements〠many layersã€all-weather and3d observations, especially for the convective weather monitoring, meteorological satellite observations have many advantages such as intuitionistiã€visual and not affected by geographical condition limit, etc. So this research use FY-2D static meteorological satellite and MODIS polar orbit meteorological satellite data, based on the multi-channel synthetic and infrared window method, combining with radar materiaã€conventional weather observation data and mesoscale local analysis prediction system (LAPS), analysing several typical strong convective weather happened in the huaihe river of recent years, such as the strong convective system in peixian of Jiangsu Province on5th June2009, heavy rainstorm process in jianghuai river on13Jul.2010and6th Sep.2010.The results show that by using high space-time resolution satellite remote sensing data can monitoring and analysing the strong convective weather system very well, satellite water vapor imagery feature connect with the large scale weather process which result in vertical motion and air current deformation field, and the water vapor imagery stands for dynamic feature of hightroposphere. Satellite multi-channel RGB synthetic images can make pointed references extrude convection systemsã€cloud particles microcosmic physical properties etc in the form of color, it have definite accuracy and applicability, in favor of mesoscale severe convective weather monitoring such as heavy rainstorm.Satellite infrared window method can be used to detect overshooting tops which existing in the process of strong convective, overshooting tops signifies strong troposphere shear and intense updrafts, also is essential for severe thunderstorms, deep convective storms with overshooting tops are capable of producing hazardous weather conditions such as aviation turbulence, heavy rainfall, large hail, damaging wind, tornadoes and so on.Satellite remote sensing data can reflect the development and evolution of short strong convective weather system and actual weather changes of routine data can’t capture, offseting the insufficient of conventional observation, and providing a reference for the short-time weather forecasting. |