The scale-aware physical process is one of the commonly used methods of modern numerical weather prediction. Considering that Global/Regional Assimilation and Prediction Enhanced System (GRAPES_Meso) model did not included this scale-aware physical process, this paper is among the first to introduce the scale-aware parameterization in the Kain-Fritsch Eta (KFeta) convective parameterization scheme. The convective time scale, grid vertical velocity, and entrainment rate of the scheme are improved on the basis of the scale-aware parameterization. In order to analyze its effects on the simulation results by the scale-aware scheme and the original scheme in different resolution models, a squall line in South China was selected. The results showed that in the GRAPES_Meso model with the horizontal resolutions of 3 km, 5 km, 10 km, and 20 km, the scale-aware KFeta scheme displayed certain positive effects on the simulation of precipitation intensity and location. With the increase of model resolution, there was a decrease in sub-grid precipitation and an increase in the grid precipitation. The entrainment rates in the tropospheric middle and low layers were slightly enhanced, while the existing cold deviations have shown some improvements. The intensity of updraft and the hydrometeors’ content in the strong convection area are more consistent with the real atmospheric conditions. Overall, the modified scheme is more suitable for the high-resolution numerical weather prediction model. The results of this study can provide a useful reference for the application of scale-aware convective parameterization scheme and the optimization of strong precipitation forecasting performance in the numerical weather prediction models.