Deterministic Chaos Model for Self-Organized Adaptive Networks in Atmospheric Flows

Details Deterministic Chaos Model for Self-Organized Adaptive Networks in Atmospheric Flows Deterministic Chaos Model for Self-Organized Adaptive Networks in Atmospheric Flows

2003-08-26

arxiv.org/abs/physics/0308094v1

Proceedings of the IEEE National Aerospace and Electronics Conference - NAECON 1989, Dayton, OH, May 22-26, 1989, 1145-1152

Physics

General Physics

8 Pages, 2 Figures

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Deterministic Chaos Model for Self-Organized Adaptive Networks in Atmospheric Flows does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Deterministic Chaos Model for Self-Organized Adaptive Networks in Atmospheric Flows, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Deterministic Chaos Model for Self-Organized Adaptive Networks in Atmospheric Flows will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-58478