Using station and reanalysis datasets, the application of C-C scaling in understanding the relation between precipitation extremes and temperature in eastern China has been examined. The results show that the C-C scaling could be used to understand the daily precipitation extreme intensity increase with T_m, as it is below ~25ºC. However, as T_m exceeds 25ºC, the daily precipitation extremes would decrease with T_m, particularly for South China. The change in the variation as T_m exceeds 25ºC may be attributed to the negative scaling of precipitation efficiency and vertical velocity with T_m. The sharp increase in the convective inhibition, decrease in the temperature advection, can partly explain the negative scaling of precipitation efficiency and T_m, vertical velocity and T_m as it exceeds 25ºC, respectively. Our results show physical image linking the precipitation extremes and temperature variation, which would likely help understanding the variations in precipitation extremes under a warmer future.