A Simulation Method of Three-Dimensional Cloud Based on WRF Data

The 3D visualization simulation of cloud data has always been the research hotspot in the field of computer graphics and meteorology. However, there still exist some problems of 3D cloud simulation to be resolved, such as the complexity of modeling, mount of computation and the poor real-time performance. Aiming to solve the problems of the existing 3D cloud simulation and realize 3D virtual simulation of real-world cloud data, a method for data modeling and optimizing based on Weather Research and Forecasting (WRF) was proposed in this paper. According to the characteristics of the cloud, the spherical particle system is designed to model, and the initial color, size, shape and other attributes are given to these particles to realize the modeling of WRF cloud data. From the perspective of the generation of new particles, the LOD technique, based on the relationship between the number of new particles generated and the distance of the viewpoint, is used to change the number of new particles generated in real time according to the distance of the simulated scene distance. Finally, illumination model is introduced to render and simulate the modeling particles. Experimental simulation results verify the effectiveness of this method in improving the modeling and rendering speed of cloud data as well as the fidelity of the 3D virtualization model.

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