dorsal/arxiv
View SchemaDeterministic Chaos Model for Self-Organized Adaptive Networks in Atmospheric Flows
| Authors | A. Mary Selvam |
|---|---|
| Categories | |
| ArXiv ID | physics/0308094 |
| URL | https://arxiv.org/abs/physics/0308094 |
| DOI | 10.1109/NAECON.1989.40353 |
| Journal | Proceedings of the IEEE National Aerospace and Electronics Conference - NAECON 1989, Dayton, OH, May 22-26, 1989, 1145-1152 |
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 found to exhibit long-range spatial and temporal correlations manifested as the selfsimilar fractal geometry to the global cloud cover pattern and the inverse power law form for the atmospheric eddy energy spectrum. Such long-range spatial and temporal correlations are ubiquitous to extended natural dynamical systems and is 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 networks of the human brain.
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"abstract": "The complex spatiotemporal patterns of atmospheric flows resulting from the\ncooperative existence of fluctuations ranging in size from millimeters to\nthousands of kilometers are found to exhibit long-range spatial and temporal\ncorrelations manifested as the selfsimilar fractal geometry to the global cloud\ncover pattern and the inverse power law form for the atmospheric eddy energy\nspectrum. Such long-range spatial and temporal correlations are ubiquitous to\nextended natural dynamical systems and is a signature of the strange attractor\ndesign characterizing deterministic chaos or self-organized criticality. The\nunified network of global atmospheric circulations is analogous to the neural\nnetworks of the human brain.",
"arxiv_id": "physics/0308094",
"authors": [
"A. Mary Selvam"
],
"categories": [
"physics.gen-ph"
],
"doi": "10.1109/NAECON.1989.40353",
"journal_ref": "Proceedings of the IEEE National Aerospace and Electronics\n Conference - NAECON 1989, Dayton, OH, May 22-26, 1989, 1145-1152",
"title": "Deterministic Chaos Model for Self-Organized Adaptive Networks in Atmospheric Flows",
"url": "https://arxiv.org/abs/physics/0308094"
},
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