4.7 Article

Boundary Layer via Multifractal Mass Conductivity through Remote Sensing Data in Atmospheric Dynamics

Journal

FRACTAL AND FRACTIONAL
Volume 6, Issue 5, Pages -

Publisher

MDPI
DOI: 10.3390/fractalfract6050250

Keywords

atmosphere; multifractal; conductivity; ceilometer

Funding

  1. Romanian Ministry of Education and Research, CNCS-UEFISCDI [PN-III-P1-1.1-TE-2019-1921]
  2. European Regional Development Fund [309/10.07.2020, 127065]

Ask authors/readers for more resources

This manuscript explores the application of multifractal theories of motion based on scale relativity theory in the description of atmospheric dynamics. It suggests that these theories can highlight nondimensional mass conduction laws that describe the propagation of atmospheric entities. By using special operational procedures and harmonic mappings, the equations can be simplified for plotting and analysis. The inhomogeneity of these conduction phenomena is analyzed, and it is found that it can fluctuate and increase at certain fractal dimensions, leading to the conclusion that certain atmospheric structures and phenomena can be explained by atmospheric fractal dimension inversions. This hypothesis is verified using ceilometer data throughout the atmospheric profiles.
In this manuscript, multifractal theories of motion based on scale relativity theory are considered in the description of atmospheric dynamics. It is shown that these theories have the potential to highlight nondimensional mass conduction laws that describe the propagation of atmospheric entities. Then, using special operational procedures and harmonic mappings, these equations can be rewritten and simplified for their plotting and analysis to be performed. The inhomogeneity of these conduction phenomena is analyzed, and it is found that it can fluctuate and increase at certain fractal dimensions, leading to the conclusion that certain atmospheric structures and phenomena of either atmospheric transmission or stability can be explained by atmospheric fractal dimension inversions. Finally, this hypothesis is verified using ceilometer data throughout the atmospheric profiles.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available