Previous grid-based fluid simulation methods are inefficient and are thus non-conducive to the interaction between objects and fluids. The multiscale adaptive moving grid method is proposed in this study. The proposed method is used in cloud scene simulation and in interaction simulation between objects and clouds. The resolutions of global and local grids can be adaptively selected

and the oriented bounding box hierarchical trees of objects are established to enhance simulation efficiency. Given the small kinematic viscosity of clouds

the controlling and thermal dynamics equations are simplified. Partial differential equations are discretized according to the proposed method. Moreover

upwind difference is applied to ensure the stability of the simulation process. The method is designed to take advantage of GPU computing performance to improve simulation speed. Cloud scene simulation is performed in the tests. Results show that the proposed method can render cloud scenes in different periods realistically and thus meets the requirements of large-scale cloud scene simulation. Simulation of cloud scenes and of the interaction between rigid objects and clouds can be realized in real time. Compared with the previous grid-based methods

the proposed method can be conveniently realized in a GPU

thus enhancing simulation efficiency and the realism of rendered images.