1998/06/25 by Suvarna Fadnavis, Fadnavis, Suvarna, A. M. Selvam +1
Earth and Planetary Sciences · Economics, Econometrics and Finance · Environmental Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #Climate variability and models #Complex Systems and Time Series Analysis #FOS: Physical sciences #Meteorological Phenomena and Simulations #chao-dyn #nlin.CD
paper · pdf · doi:10.48550/arxiv.chao-dyn/9806028
3 pages, 1 figure
arxiv created 1998/06/25 · openalex publication_date 1998/06/25 · arxiv updated 2009/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Atmospheric flows exhibit fluctuations of all scales (space -time) ranging from turbulence (millimeters-seconds) to climate (thousands of kilometers-years). The apparently random fluctuations however exhibit long-range spatio-temporal correlations manifested as the selfsimilar fractal geometry to the global cloud cover pattern concomitant with inverse power law form for power spectra of temporal fluctuations . Long-range spatiotemporal correlations are ubiquitous to dynamical systems in nature and are recently identified as signatures of self-organized criticality . Traditional meteorological theory cannot explain satisfactorily the observed selforganized criticality in atmospheric flows . This paper gives a summary of an alternative non-deterministic cell dynamical systems model for atmospheric flows which predicts the observed self-organized criticality as intrinsic to quantumlike mechanics governing flow dynamics.