Statistical analysis on effective precipitation enhancement in Beijing area over the past three years was conducted. Characteristics and classification of convective-stratiform mixed clouds were also studied in this paper. Results show that the frequency of mixed clouds precipitation accounted for 61% of the total frequency. Convective- stratiform connected type and horizontally mixed type are the main types of mixed clouds precipitation and the two types of precipitation account for 80% of the total. This study mainly analyzed the macro- and micro-physical structures of convective clouds and stratus clouds in convective-stratiform mixed clouds. Identification indexes, including the reflectivity factor Z, temperature T, particle water content M, AgI nucleation efficiency (NE), hydrometeor type classification (HTC), and their ranges were determined. Levels of rain enhancement potential were established based on the research situation and weather modification demands. Fuzzy models and algorithms based on polarimetric radar data were established to identify regions of rain enhancement potential for convective-stratiform precipitation. The results show that three layers in the vertical (upper, middle, and lower) could be found in the rain enhancement potential area. Both the upper and lower layers are not suitable for artificial rain enhancement because of the influence of water content and temperature. Thereby only the middle layer is fit for artificial rain enhancement. It was also found that the stratus clouds in the mixed clouds have a small rain enhancement potential, whereas the convection clouds have a large potential. Of different types, the open airflow type and convective-stratiform connected type have a higher potential for artificial rain enhancement than the horizontally mixed type. Furthermore, when graupels are detected by radar, the nearby areas will have a large potential for artificial rain enhancement. Cloud seeding with AgI in different layers was simulated using a numerical model. The result of the numerical model is basically consistent with the result of radar detection. This indicates that the identification method based on polarimetric radar has great implication for assessing artificial rain enhancement potential.