The Search for Atmospheric Laminar Channels: Experimental Results and Method Dissemination

In this paper, a practical application of theoretical developments found in our previous works is explored in relation to atmospheric lidar data. Multifractal structures, previously named "laminar channels", have been identified in atmospheric profiles-these exhibit cellular and self-struc...

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Published in:Sensors (Basel, Switzerland) Switzerland), 2021-12, Vol.22 (1), p.158
Main Authors: Roșu, Iulian-Alin, Nica, Dragoș-Constantin, Dumitraș, Cătălin, Chitariu, Dragoș, Bibire, Luminița, Ghenadi, Adrian Stelian, Dragan, Valentin-Stelian, Agop, Maricel
Format: Article
Language:English
Subjects:
algorithm
Approximation
Atmosphere
Atmospheric aerosols
Cellular structure
Channels
Dynamic structural analysis
Fractals
Gauges
laminarity
Liapunov exponents
lidar
Models, Theoretical
multifractal
Navier-Stokes equations
Planetary boundary layer
Planetary evolution
turbulence
Turbulent flow
Velocity
Vortices
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Summary:In this paper, a practical application of theoretical developments found in our previous works is explored in relation to atmospheric lidar data. Multifractal structures, previously named "laminar channels", have been identified in atmospheric profiles-these exhibit cellular and self-structuring properties, and are spatially ordered across the atmospheric profile. Furthermore, these structures have been connected to the spontaneous emergence of turbulent behavior in the calm atmospheric flow. Calculating the location and occurrence of these channels can help identify features of atmospheric evolution, such as the development of the planetary boundary layer (PBL). Employing this theoretical background to atmospheric lidar data, attempts are made to confirm this suggestion and extract information about atmospheric structure and evolution by analyzing turbulent vortex scale dynamics and scale-corresponding Lyapunov exponents that form the basis of identifying the laminar channels in atmospheric lidar profiles. A parameter named "scale laminarity index" is then introduced, which quantifies the relation between vortex scale and chaoticity throughout the profile. Finally, the algorithmic methods employed in this study are described and distributed for future use.
ISSN:1424-8220
1424-8220
DOI:10.3390/s22010158