Revealing a Tipping Point in the Climate System: Application of Symbolic Analysis to the World Precipitations and Temperatures

Climate variabilities over the period of 80 years (1930–2010) are analyzed by combined use divergence measures and rank correlation. First, on basis a statistical linguistics procedure, m-th order differences monthly mean precipitations temperatures globe symbolized according to binary coding rule. Subsequently, annual 12-bit sequence for station is divided into twelve 6-bit sequences scanning it year. Computed results indicate that there an optimal with which one can reveal most distinctly. Specifically, found analysis precipitations, second (m = 2) useful, whereas, temperatures, third 3) preferable. A detailed comparison between information-theoretic ranking methods suggests along stability coherence, owing its ability make appeal eyes, latter superior former.