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Cloud dynamics simulation with cellular automata

Computational simulations describe real systems in order to understand their behavior. Several advantages can be obtained with a simulation, such as cost and time, because a simulation can be repeated at lower cost or it can represent a long time period in seconds. In real system simulations, the application of cellular automata (CA) has been seen as an interesting option, because it can represent an emergent behavior and its implementation is simple. This paper presents a method to simulate cloud dynamics with cellular automata. The proposed model uses the Von Neumann neighborhood of five cells, each one with two possible states: the presence or absence of a cloud or a part of it. The proposed model uses three weather properties, the condensed cloud water particles, the temperature, and the winds. The transition rules are based on the thermodynamic principles and weather concepts.