  Atmospheric flows exhibit long-range spatiotemporal correlations manifested
as the fractal geometry to the global cloud cover pattern concomitant with
inverse power law form for spectra of temporal fluctuations. Such non-local
connections are ubiquitous to dynamical systems in nature and are identified as
signatures of self-organized criticality A recently developed cell dynamical
system model for atmospheric flows predicts the observed self-organized
criticality as intrinsic to quantumlike mechanics governing flow dynamics. The
model predicts the following: (a) The flow structure consists of an overall
logarithmic spiral trajectory with the quasiperiodic Penrose tiling pattern for
the internal structure. (b) The universal algorithm for self-organized
criticality is expressed in terms of the universal Feigenbaum's constants. (c)
The Feigenbaum's constants are expressed as functions of the golden mean. (d)
The quantum mechanical constants ' fine structure constant' and 'ratio of
proton mass to electron mass' which are pure numbers and obtained by
experimental observations only, are now derived in terms of the Feigenbaum's
constant a. (e) Atmospheric flow structure follows Kepler's third law of
planetary motion. Therefore Newton's inverse square law for gravitation applies
to eddy masses also. The centripetal acceleration representing inertial masses
(of eddies) are equivalent to gravitational masses. Fractal structure to the
space-time continuum can be visualized as a nested continuum of vortex (eddy)
circulations whose inertial masses obey Newton's inverse square law of
gravitation. The model concepts are equivalent to a superstring model for
subatomic dynamics which incorporates gravitational forces.
