Abstract
Atmospheric flows exhibit self-similar fractal space–time fluctuations on all space–time scales in association with inverse power law distribution for power spectra of meteorological parameters such as wind, temperature, etc., and thus implies long-range correlations, identified as self-organized criticality generic to dynamical systems in nature. A general systems theory visualizes the fractal fluctuations to result from the coexistence of eddy fluctuations in an eddy continuum, the larger scale eddies being the integrated mean of enclosed smaller scale eddies. The model predicts that the probability distributions of component eddy amplitudes and the corresponding variances (power spectra) are quantified by the same universal inverse power law distribution incorporating the golden mean. Atmospheric particulates are held in suspension by the vertical velocity distribution spectrum. The atmospheric particulate size spectrum is derived in terms of the model-predicted universal inverse power law characterizing atmospheric eddy spectrum. Model-predicted spectrum is in agreement with PCASP-B aerosol-size spectra measurements made during the VOCALS ((VAMOS Ocean-Cloud-Atmosphere Land Study) 2008.
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Selvam, A. (2015). Universal Spectrum for Atmospheric Suspended Particulates: Comparison with Observations: Data Set II. In: Rain Formation in Warm Clouds. SpringerBriefs in Meteorology. Springer, Cham. https://doi.org/10.1007/978-3-319-13269-3_4
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DOI: https://doi.org/10.1007/978-3-319-13269-3_4
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