Abstract: Aiming at the problem that the existing wake model can not completely describe the spatial distribution characteristics of superimposed wake, a three-dimensional superimposed wake model based on double-Gaussian function (3DJGF-M model) was proposed to achieve a more accurate and comprehensive prediction of superimposed wake. Firstly, the wake expansion coefficient of the three-dimensional double-Gaussian full wake model (3DJGF model) was corrected. The coefficient does not need to be determined by many tests and calculations, which can reduce computational cost. Secondly, by introducing the influence of wind shear, the superposition principle of velocity loss was modified. In addition, based on the 3DJGF model, the 3DJGF-M model was derived using the superposition principle considering wind shear. Finally, wind field experiments were carried out with lidars to verify the accuracy of 3DJGF-M model. Results show that the relative error of 3DJGF-M model in predicting the horizontal profiles and vertical profiles of the whole wake region is basically within 5%, and the prediction effect is good. It has great application potential for the layout optimization of wind farms.