Cloud Dynamics Simulation with Cellular Automata
Alisson Rodrigo and Maury Gouvea Jr.
The 2010 Summer Computer Simulation Conference (SCSC 10)
Ottawa, Canada, July 11-14, 2010
Computational simulations describe real systems in order to understand its behavior. Several advantages can be obtained with a simulation, for instance in 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 shown to be 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 one. The proposed model uses three weather properties, as follows, water droplets, temperature and outer winds. The transition rules are based on the thermodynamic principles and weather concepts.
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