Time series analysis of Earths Northern Hemisphere temperature reconstructions using nonlinear tools and statistical tests Order a copy of this article by George Halkos, Kyriaki Tsilika, Aggelos Iliopoulos

Time series analysis of Earths Northern Hemisphere temperature reconstructions using nonlinear tools and statistical tests. International Journal of Innovation and Sustainable Development  12(1-2): 220-245 (SCOPUS, ΕconLit Listed). In common with K. Tsilika and A. Iliopoulos (2018)

This paper presents results concerning the nonlinear analysis of the Earths Northern Hemisphere mean annual land temperature reconstructions 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. The results of this study indicate the efficiency of the filtering methods in revealing nonlinear structures and correlations in short noisy time series, such as Earths Northern Hemisphere temperature reconstructions. No low dimensional chaotic behaviour evidence was found from the analysis.