The research on heavy rainfall depended greatly on high-resolution data, which could be obtained by using the intensive observation, model simulation, radar detection, and satellite detection. However, it was difficult to discover the fine features of the heavy rainfall system because the limitation of the method of analyzing the big data mentioned above. Therefore, the paper aimed at introducing a new method (synthetical analysis and classifying diagnosis method, SACDM) for effectively analyzing various kinds of data. SACDM possessed a suit of scheme for the data processing and diagnosing. Firstly, the secondary processed data could be obtained by using various key techniques such as numerical simulation technology, numerical calculation technology, radar mosaic technology, and 3D wind field retrieval technology. Secondly, based on the idea of classifying diagnosis, different data were effectively used to analyze the corresponding features on heavy rainfall. Based on various high-resolution data including the intensive observation data from SCHeREX (South China Heavy Rainfall Experiment), the radar mosaic data, the radar retrieved data, the meso-scale model data, the satellite data, the convectional observation data, the automatic station data, and the NCEP (National Centers for Environmental Prediction) reanalysis data, the paper studied the fine features of the South China extremely heavy rainfall occurred at 5–7 June 2008 by using SACDM, and the following conclusions could be obtained. The unique coupling between the southerly upper level jet and low level jet (LLJ) was favorable for the South China rainfall event. An obvious low-latitude vortex was discovered. Different from most middle-high latitude vortexes, the vortex was greatly influenced by the southwesterly monsoon surges. Dynamical elements played more important roles than thermal elements during the formation period of vortex. During the mature period of vortex, thermal elements played more important roles than dynamical elements. Divergent wind produced positive kinetic energy crossing isobars, which was favorable of the vortex rainfall. The monsoon surges from the Bay of Bengal penetrated into a Key Zone (the southeast of vortex) and enhanced the southwesterly wind there. The monsoon surges also took advantageous physical quantities including water vapor, vorticity, divergence, and vertical velocity to the Key Zone. With the influence of favorable physical quantities, meso-scale convective system (MCS) frequently emerged at the southeast of vortex. MCS-E was the strongest convection in the heavy rainfall event. It possessed a southwest-northeast echo belt and a strong TBB (temperature of blackbody brightness) less than 200 K. A meso- β scale LLJ was also discovered to be parallel to MCS-E, and it indeed triggered and fed the linear convection according to high-resolution analysis. The accumulation and release of CAPE (convective available potential energy) was a key reason for the evolution of MCS-E. Active meso-γ scale convective cells prolonged the lifetime of MCS-E, and the convective cells directly produced the precipitation peaks in the rainfall center according to the 6-min rainfall and radar echo. As a result, all the aforementioned features were reduced to a suit of conceptual model to interpret the possible reasons of the heavy rainfall. SACDM could play an important role in studying the fine features of heavy rainfall according to this paper.