However, in this kind of rendering method, the clouds size, position, and color are fixed. used Impostor technology to accelerate the clouds using the correlation between frames in order to achieve real-time rendering of the scene requirements. Simulating Uniform Cloud Particles Using the Particle System 2.1. In addition, corresponding dynamic simulation is carried out. Based on the above analysis, a three-dimensional modeling algorithm based on the cellular automaton and particle system is proposed in this paper. In summary, these methods are simple and have smaller amount of computation. Meanwhile, the life cycle of a particle determines its cohesion time on the grid and its position change on the grid determines the phase change of the grid, thereby obtaining the cloud form data. They controlled the upward motion of vapor particles by using an approximate numerical model to simulate physical factors. utilized the particle system to carry out their research. They finally implemented the cloud simulation by adjusting the radii and concentration of the metaballs. placed metaballs according to satellite cloud images.
combined the metaball algorithm with the fractal algorithm to generate an irregular cloud which looks real with a flat bottom and an irregular top.
The modeling methods based on appearance include the fractal geometry, metaball algorithm, and particle systems.
Therefore, numerical simulation methods are rarely used in fast cloud simulation. However, the amount of computation of solving atmospheric fluid dynamics equations is still large. They used this simplified solution to implement the simulation of cumulus clouds and reduce the computational overhead. divided the three-dimensional space into a one-dimensional space in the vertical direction and a two-dimensional space in the horizontal direction, transforming complex variables to constants. Recently, in order to improve the efficiency of cloud simulation, Wang et al. solved the atmospheric fluid dynamics equations by mapping them to grids in the polar coordinates, achieving the simulation of earth-scale clouds. In order to simulate large-scale clouds, in 2006, Dobashi et al. These algorithms can be divided into numerical simulation methods and modeling methods based on appearance. Scholars around the world have carried out numerous studies and experiments on cloud modeling and obtained many effective cloud modeling algorithms. Furthermore, the weather forecasting will be more precise. Therefore, forecasters can analyze and judge typical weather phenomena, such as thunderstorms, low vortex, and frontal rain, more easily. The contrast of clouds at different levels can be enhanced. If the cloud images are displayed using three-dimensional simulation, the spatial distribution of clouds can be recovered. Currently, most primary meteorological departments use two-dimensional display technologies to display and process satellite cloud images. As one of the main weather information sources, satellite cloud images play a critical role in cloud simulation as original data sources. Particularly, the simulation of clouds in weather forecasting study is even more important. The research results have been widely used in virtual battlefield simulations, flight simulations, natural environment building in games and animations. Researchers around the world have done a lot of research on this topic. With the development of computer visualization technologies, computer simulation of clouds becomes possible. Clouds are a common atmospheric phenomenon.
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