Monofractal nature of air temperature signals reveals their climate variability

We use the discrete "wavelet transform microscope" to show that the surface air temperature signals of weather stations selected in Europe are monofractal. This study reveals that the information obtained in this way are richer than previous works studying long range correlations in meteorological stations. The approach presented here allows to bind the H\"older exponents with the climate variability. We also establish that such a link does not exist with methods previously carried out.