Atmospheric turbulence disturbance degrades the quality of long-range image transmission in applications such as marine monitoring and satellite imaging. Simulating an atmospheric turbulence image dataset facilitates the correction of turbulence-distorted images. However, the current simulation algorithms suffer from long computation times, undersampling of frequency, and unrealistic turbulence image simulation. Therefore, we propose an algorithm based on atmospheric coherence length