Reducing stochasticity in the North Altantic Oscillation index with coupled Langevin equations
dc.contributor.author | Lind, Pedro Gonçalves | pt_BR |
dc.contributor.author | Mora, Alejandro | pt_BR |
dc.contributor.author | Gallas, Jason Alfredo Carlson | pt_BR |
dc.contributor.author | Haase, Maria | pt_BR |
dc.date.accessioned | 2014-08-22T02:11:08Z | pt_BR |
dc.date.issued | 2005 | pt_BR |
dc.identifier.issn | 1539-3755 | pt_BR |
dc.identifier.uri | http://hdl.handle.net/10183/101619 | pt_BR |
dc.description.abstract | We present a critical investigation of the functional relationship between the two pressure time series routinely used to define the index characterizing the North Atlantic Oscillation NAO , well known to regulate global climate variability and change. First, by a standard Markov analysis we show that the standard NAO index based on the pressure difference is not optimal in the sense of producing sufficiently reliable forecasts because it contains a dominating stochastic term in the corresponding Langevin equation. Then, we introduce a variationally optimized Markov analysis involving two coupled Langevin equations tailored to produce a NAO quasi-index having the desired minimum possible stochasticity. The variationally optimized Markov analysis is very general and can be applied in other physical situations involving two or more time series. | en |
dc.format.mimetype | application/pdf | pt_BR |
dc.language.iso | eng | pt_BR |
dc.relation.ispartof | Physical review. E, Statistical, nonlinear, and soft matter physics. Vol. 72, no. 5 (Nov. 2005), 056706, 12 p. | pt_BR |
dc.rights | Open Access | en |
dc.subject | Climatologia | pt_BR |
dc.subject | Processos de Markov | pt_BR |
dc.subject | Processos estocásticos | pt_BR |
dc.subject | Séries temporais | pt_BR |
dc.title | Reducing stochasticity in the North Altantic Oscillation index with coupled Langevin equations | pt_BR |
dc.type | Artigo de periódico | pt_BR |
dc.identifier.nrb | 000538440 | pt_BR |
dc.type.origin | Estrangeiro | pt_BR |
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