Compilation, Integration, and Organization of Interdisciplinary Approaches to Climate Change Impacts

Dear Colleagues,

Appreciating, identifying, and predicting the signatures of climate change impacts have beyond doubt been regarded as one of the most urgent topics in contemporary climatic studies. To date, a number of attempts have been reported to apply existing quantitative methods for elucidating the underlying mechanism of the impacts. Typical examples are given as detrended fluctuation analysis, variationally optimized Markov analysis, Monte Carlo, wavelet transformations, multifractals, information-theoretic analysis, multiscale entropy, statistical linguistics, convergent cross mapping, Mahalanobis distance metrics, singular spectral analysis, Lyapunov method, Minkowski distance functions, vectorial rotations, and stochastic resonances. With this trend in mind, we are now in the best position to integrate interdisciplinary efforts as an organic whole.

The present Special Issue aims at compiling, integrating, and organizing statistical approaches to the time-series climatic data that are represented not only with temperatures and precipitations, but also with humidities, air pressures, wind velocities, sea levels, and ice thicknesses.  

Both original and review articles, which deal with such transdisciplinary attempts as sharing a methodology with physiologists and economists as well as with electronics, information, and communication engineers, are welcome but approaches in which one can find a special novelty for the analysis of time-dependent climatic data are welcome as well.

Prof. Dr. Kazuya Hayata
Prof. Dr. Salvatore Magazù
Prof. Dr. Rui A. P. Perdigão
Guest Editors

Manuscript Submission Information

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• predicting global and/or regional climate anomalies
• statistical physics applied to climate studies
• symbolic dynamics
• permutation entropy
• detrended fluctuation analysis
• distinguishing chaotic and stochastic dynamics
• comparative studies between Fisher’s and Bayes’ statistics
• complex networks of world stations