Deterministic chaos model for self-organized adaptive networks in atmospheric flows

The author discusses the complex spatiotemporal patterns of atmospheric flows resulting from the cooperative existence of fluctuations ranging in size from millimeters to thousands of kilometers, and exhibiting long-range spatial and temporal correlations in the self-similar fractal geometry of the global cloud-cover pattern and in the inverse-power-law form of the atmospheric-eddy energy spectrum. She shows that such long-range spatial and temporal correlations are ubiquitous in extended natural dynamical systems and are also a signature of the strange-attractor design characterizing deterministic chaos or self-organized criticality. The unified network of global atmospheric circulations is analogous to the neural network of the human brain.<
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