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

Selvan, AMary (1989) Deterministic chaos model for self-organized adaptive networks in atmospheric flows. In: Aerospace and Electronics Conference, 1989. NAECON 1989, 22-26 May 1989, Dayton, OH.

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Abstract

The complex spatiotemporal patterns of atmospheric flows resulting from the cooperative existence of fluctuations ranging in size from millimeters to thousands of kilometers are discussed. They are found to exhibit long-range spatial and temporal correlations. These correlations are manifested 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. 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.

Item Type: Conference or Workshop Item (Other)
Uncontrolled Keywords: Earth Atmosphere--Theory; Systems Science and Cybernetics--Neural Nets, Adaptive Networks; Atmospheric Flows; Chaos Model; Fractal Geometry, Atmospheric Movements
Subjects: Meteorology and Climatology
Depositing User: IITM Library
Date Deposited: 30 Apr 2015 09:35
Last Modified: 30 Apr 2015 09:35
URI: http://moeseprints.incois.gov.in/id/eprint/1162

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