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A Carbon-Cycle Based Stochastic Cellular Automata Climate Model

By Lichtenegger Klaus and Schappacher Wilhelm


In this article a stochastic cellular automata model is examined, which has been developed to study a "small" world, where local changes may noticeably alter global characteristics. This is applied to a climate model, where global temperature is determined by an interplay between atmospheric carbon dioxide and carbon stored by plant life. The latter can be relased by forest fires, giving rise to significant changes of global conditions within short time.Comment: 17 pages, 8 figure

Topics: Nonlinear Sciences - Cellular Automata and Lattice Gases, Nonlinear Sciences - Adaptation and Self-Organizing Systems
Year: 2011
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