Mathematics (Mar 2022)

Multifractality via Stochasticity in Atmospheric Dynamics Description Validated through Remote Sensing Data

  • Dragos-Constantin Nica,
  • Mirela Voiculescu,
  • Daniel-Eduard Constantin,
  • Manuela Gîrțu,
  • Liliana Topliceanu,
  • Decebal Vasincu,
  • Iulian-Alin Roșu,
  • Maricel Agop

DOI
https://doi.org/10.3390/math10061004
Journal volume & issue
Vol. 10, no. 6
p. 1004

Abstract

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In the present paper, correlations between multifractality and stochasticity in atmospheric dynamics are investigated. Starting with two descriptions of atmospheric scenarios, one based on scale relativity theory and another based on stochastic theory, correspondences between parameters and variables belonging to both scenarios are found. In such a context, by replacing an atmospheric conservative passive additive with a non-differentiable component of the atmospheric multifractal velocity, stochastic evolution equations are found for this component, which reveal the multifractal variational transport coefficient and the multifractal molecular diffusion coefficient, along with the multifractal inhomogeneity variation. Furthermore, equations which describe a multifractal Reynolds number and singularity spectrum are also found. Finally, these theoretical results are validated through remote sensing data obtained with the aid of a ceilometer platform.

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