The cloud scene in the space-based infrared observation scene has the characteristics of geometric structure dynamic change, scale dynamic change, radiation dynamic change and is coupled with the space-based dynamic detection link, which will have a great impact on the detection efficiency of the system. Therefore, it is very important to carry out research on cloud scene simulation methods for the design of space-based infrared optical satellite systems. This paper proposes a dynamic cloud image simulation method based on the time series smoothing multiscale superposition method to solve the problems of low computational efficiency and large memory usage of traditional simulation methods in large-scale dynamic cloud image simulation applications. The interframe interpolation method is used to realize the change in the shape and structure of the dynamic cloud layer, which improves the computational efficiency by more than 10 times. Realistic simulation of the overall structural change in the position and shape of the clouds realizes the simulation of large-scale dynamic cloud images.