Predicting the intensity of tropical cyclones (TCs) is challenging in operational weather prediction systems, partly due to the difficulty in defining the initial vortex. In an attempt to solve this problem, this study investigated the ef-fect of initial vortex intensity correction on the prediction of the intensity of TCs by the operational numerical predic-tion system GRAPES_TYM (Global and Regional Assimilation and Prediction System_Typhoon Model) of the Na-tional Meteorological Center of the China Meteorological Administration. The statistical results based on experi-ments using data for major TCs in 2018 show that initial vortex intensity correction can reduce the errors in mean in-tensity for up to 120-h integration, with a noticeable decrease in the negative bias of intensity and a slight increase in the mean track error. The correction leads to an increase in the correlation coefficient of Vmax (maximum wind speedat 10-m height) for the severe typhoon and super typhoon stages. Analyses of the errors in intensity at different stages of intensity (including tropical storms, severe tropical storms, typhoons, severe typhoons, and super typhoons) show that vortex intensity correction has a remarkable positive influence on the prediction of super typhoons from 0 to 120 h. Analyses of the errors in intensity for TCs with different initial intensities indicate that initial vortex correction can significantly improve the prediction of intensity from 24 to 96 h for weak TCs (including tropical storms and severe tropical storms at the initial time) and up to 24 h for strong TCs (including severe typhoons and super typhoons at the initial time). The effect of the initial vortex intensity correction is more important for developing TCs than for weak-ening TCs.