English

Universal Spectrum for Interannual Variability of Rainfall Over India and Scotland: Implication for Prediction

chao-dyn 2009-09-25 v1 Chaotic Dynamics

Abstract

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.

Keywords

Cite

@article{arxiv.chao-dyn/9806028,
  title  = {Universal Spectrum for Interannual Variability of Rainfall Over India and Scotland: Implication for Prediction},
  author = {Suvarna Fadnavis and A. M. Selvam},
  journal= {arXiv preprint arXiv:chao-dyn/9806028},
  year   = {2009}
}

Comments

3 pages, 1 figure