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Volumn 80, Issue 1, 2009, Pages

From Granger causality to long-term causality: Application to climatic data

Author keywords

[No Author keywords available]

Indexed keywords

ANTHROPOGENIC FACTORS; CLIMATIC DATA; EMPIRICAL MODELING; GLOBAL SURFACE TEMPERATURE; GRANGER CAUSALITY; MODEL DYNAMICS; QUANTITATIVE CHARACTERIZATION; SOLAR ACTIVITY; VOLCANIC ACTIVITIES;

EID: 68949105356     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.80.016208     Document Type: Article
Times cited : (64)

References (53)
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    • Uniform distribution of ξ is used in the example 6 since almost any realization of x1 would diverge to infinity for Gaussian noise.
    • Uniform distribution of ξ is used in the example 6 since almost any realization of x1 would diverge to infinity for Gaussian noise.
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    • Moreover, one can assess not only a "separate" influence j→k but also a "combined" influence by imposing a condition C on several processes.
    • Moreover, one can assess not only a "separate" influence j→k but also a "combined" influence by imposing a condition C on several processes.
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    • note
    • To simulate the model values of T in 2000-2005 under the condition C0, the time series V (t) is expanded with the values V (t) =0 in 2000-2005 which are close to V (1999). These lowest possible values may somewhat overestimate the model values of T in 2000-2005. Nevertheless, it appears that even with them the model 12 fails to describe the GST trend in the recent decades.


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