Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/43910
Título: Predictability of global surface temperature by means of nonlinear analysis
Autores/as: Gimeno, Luis.
García Herrera, Ricardo
Pacheco Castelao, José Miguel 
Hernández, E.
Ribera, P.
Clasificación UNESCO: 22 Física
2213 Termodinámica
Palabras clave: Global surface temperature
Fecha de publicación: 2001
Publicación seriada: Earth and planetary science letters 
Resumen: The time series of annually averaged global surface temperature anomalies for the years 1856–1998 is studied through nonlinear time series analysis with the aim of estimating the predictability time. Detection of chaotic behaviour in the data indicates that there is some internal structure in the data; the data may be considered to be governed by a deterministic process and some predictability is expected. Several tests are performed on the series, with results indicating possible chaotic behaviour.
URI: http://hdl.handle.net/10553/43910
ISSN: 0012-821X
DOI: 10.1016/S0012-821X(00)00329-0
Fuente: Earth and Planetary Science Letters [ISSN 0012-821X], v. 184 (3-4), p. 561-565
Colección:Artículos
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