A General Systems Theory for Atmospheric Flows and Atmospheric Aerosol Size Distribution
A. M. Selvam

TL;DR
This paper presents a general systems theory linking atmospheric flow fractal fluctuations, aerosol size distribution, and quantumlike chaos, supported by empirical data and universal inverse power law predictions.
Contribution
It introduces a unified model predicting atmospheric fractal fluctuations and aerosol spectra based on selforganised criticality and quantumlike chaos, validated with real atmospheric data.
Findings
Fractal fluctuations follow a universal inverse power law incorporating the golden mean.
Aerosol size spectrum derived from the eddy energy spectrum matches observed data.
Atmospheric aerosols are maintained by a vertical velocity distribution consistent with the model.
Abstract
Atmospheric flows exhibit selfsimilar fractal spacetime fluctuations manifested as the fractal geometry to global cloud cover pattern and inverse power law form for power spectra of meteorological parameters such as windspeed, temperature, rainfall etc. Inverse power law form for power spectra indicate long-range spacetime correlations or non-local connections and is a signature of selforganised criticality generic to dynamical systems in nature such as river flows, population dynamics, heart beat patterns etc. The author has developed a general systems theory which predicts the observed selforganised criticality as a signature of quantumlike chaos in dynamical systems. The model predictions are (i) The fractal fluctuations can be resolved into an overall logarithmic spiral trajectory with the quasiperiodic Penrose tiling pattern for the internal structure. (ii) The probability…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Statistical Mechanics and Entropy · Theoretical and Computational Physics
