A Carbon-Cycle Based Stochastic Cellular Automata Climate Model

TL;DR

This paper presents a stochastic cellular automata climate model that simulates how local events like forest fires can cause rapid global temperature changes through interactions between atmospheric CO2 and plant carbon storage.

Contribution

It introduces a novel stochastic cellular automata approach to modeling climate dynamics with emphasis on local-global interactions and abrupt changes.

Findings

Local changes can significantly impact global temperature.

Forest fires cause rapid shifts in climate conditions.

The model captures the interplay between CO2 and plant carbon storage.

Abstract

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.