Extracting Information from Chaos: a Case in Climatological Analysis

Francesco Bonghi and Roberto Ferretti
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Francesco Bonghi: Sapienza University of Rome, Department of Applied Sciences to Engineering
Roberto Ferretti: University of Rome Tre, Department of Mathematics

A chapter in Imagine Math 2, 2013, pp 173-180 from Springer

Abstract: Abstract In a way, the analysis and simulation of atmospheric models is a paradigm of largescale scientific computing problems. First, it deals with a system in which relatively simple physical mechanisms are combined to produce a complex behaviour. Second, it presents a deep interaction between the mathematical model and the approximation techniques used, and this interaction strongly affects the efficiency (and even the feasibility) of any computational approach.

Keywords: Climatic Regime; Lorenz System; Deterministic Chaos; Lorenz Model; Markov Chain Approach (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-88-470-2889-0_19

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DOI: 10.1007/978-88-470-2889-0_19

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