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Identification of self-organized criticality in atmospheric low frequency variability

Joshi, RR and Selvam, AM (1999) Identification of self-organized criticality in atmospheric low frequency variability. Fractals, 7 (4). pp. 421-425.

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Atmospheric flows exhibit long-range spatiotemporal correlations manifested as self-similar fractal geometry to the global cloud cover pattern concomitant with inverse power law form fB. Such non-local connections are ubiquitous to dynamical systems in nature and are identified as signatures of self-organized criticality. Standard models in meteorological theory cannot explain satisfactorily the observed self-organized criticality in atmospheric flows. A recently developed cell dynamical model for atmospheric flows predicts the observed self-organized criticality as a direct consequence of quantumlike mechanics governing flow dynamics. The model predictions are in agreement with continuous periodogram power spectral analyses of two-day mean TOGA temperature time-series. The application of model concepts for prediction of atmospheric low frequency variability is discussed.

Item Type: Article
Additional Information: Copyright of this article belongs to World Scientific Publishing Company
Subjects: Meteorology and Climatology
Depositing User: IITM Library
Date Deposited: 06 Mar 2015 04:44
Last Modified: 06 Mar 2015 04:44

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