Atmospheric data analysis with the i-variability diagram method: hint to fractional Brownian motion-like phenomena for the inner structure of clouds

A method to sort out short-range correlations and decorrelations in meteorology physical data is introduced. An i-variability diagram statistical method is used on liquid water cloud content taken from the ASTEX 92 program data set. The i=1,2 cases are treated here. The subsequent points are found to be embedded in polygons for which the inertial axes are calculated and are shown to have non-trivial values. Such findings are similar to those found in biological and financial data sequences. This suggests ways of modeling inner cloud structure, and possibly alter meteorological fields, using fractional Brownian motion type constraints.