This paper presents results concerning the nonlinear analysis of the mean annual value temperature time series corresponding to the Earth’s global climate for the time period of 713–2004. The nonlinear analysis consists of the application of several filtering methods, the estimation of geometrical and dynamical characteristics in the reconstructed phase space, techniques of discrimination between nonlinear low dimensional and linear high dimensional (stochastic dynamics and tests for serial dependence and nonlinear structure.
