Self-organized Criticality: A Signature of Quantum-like Chaos in Atmospheric Flows

摘要: Atmospheric flows exhibit long-range spatiotemporal correlations manifested as the fractal geometry to global cloud cover pattern concomitant with inverse power-law form for power spectra of temporal fluctuations on all space-time scales ranging from turbulence (centimetres-seconds) climate (kilometres-years). Long-range are ubiquitous dynamical systems in nature and identified signatures self-organized criticality. Standard models meteorological theory cannot explain satisfactorily observed criticality atmospheric flows. Mathematical simulation prediction nonlinear do not possess analytical solutions. Finite precision computer realizations give unrealistic solutions because deterministic chaos, a direct consequence round-off error growth iterative numerical computations. Recent studies show that doubles an average each iteration Round-off propagates mainstream computation gives weather (NWP) models, which incorporate thousands computations long-term integration schemes. A general model developed by author predicts intrinsic quantumlike chaos flow dynamics. The provides universal quantification terms golden ratio τ (≈1.618). Model predictions agreement majority time series several standard climatological data sets representative disparate climatic regimes. Universal spectrum natural variability rules out linear trends. Man-made greenhouse gas related warming would result intensification variability, seen immediately high-frequency such QBO ENSO even shorter timescales. concepts results analyses discussed reference possible change. concepts, if correct, rule unambiguously, trends climate. Climate change will only be increase or decrease variability. However, more stringent tests required before applications important issue cell system is applicable other fields science, as, number theory, biology, physics botany.