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-structuring pro...
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MDPI AG
2021-12-01
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author | Iulian-Alin Roșu Dragoș-Constantin Nica Cătălin Dumitraș Dragoș Chitariu Luminița Bibire Adrian Stelian Ghenadi Valentin-Stelian Dragan Maricel Agop |
author_facet | Iulian-Alin Roșu Dragoș-Constantin Nica Cătălin Dumitraș Dragoș Chitariu Luminița Bibire Adrian Stelian Ghenadi Valentin-Stelian Dragan Maricel Agop |
author_sort | Iulian-Alin Roșu |
collection | DOAJ |
description | 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. |
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issn | 1424-8220 |
language | English |
last_indexed | 2024-03-10T03:22:27Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
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series | Sensors |
spelling | doaj.art-c85ff432f8f0430cb670b5ee9fc851fe2023-11-23T12:17:48ZengMDPI AGSensors1424-82202021-12-0122115810.3390/s22010158The Search for Atmospheric Laminar Channels: Experimental Results and Method DisseminationIulian-Alin Roșu0Dragoș-Constantin Nica1Cătălin Dumitraș2Dragoș Chitariu3Luminița Bibire4Adrian Stelian Ghenadi5Valentin-Stelian Dragan6Maricel Agop7Faculty of Physics, “Alexandru Ioan Cuza” University of Iasi, Bulevardul Carol I 11, 700506 Iasi, RomaniaDepartment of Geography, Faculty of Geography and Geology, “Alexandru Ioan Cuza” University of Iasi, Bulevardul Carol I 11, 700506 Iasi, RomaniaFaculty of Machine Manufacturing and Industrial Managements, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, RomaniaFaculty of Machine Manufacturing and Industrial Managements, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, RomaniaDepartment of Environmental Engineering and Mechanical Engineering, Faculty of Engineering, “Vasile Alecsandri” University of Bacău, 600115 Bacau, RomaniaDepartment of Industrial Systems and Engineering, Faculty of Engineering, “Vasile Alecsandri” University of Bacău, 600115 Bacau, RomaniaFaculty of Physics, “Alexandru Ioan Cuza” University of Iasi, Bulevardul Carol I 11, 700506 Iasi, RomaniaDepartment of Physics, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, RomaniaIn 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.https://www.mdpi.com/1424-8220/22/1/158multifractallaminarityturbulenceatmospherelidaralgorithm |
spellingShingle | Iulian-Alin Roșu Dragoș-Constantin Nica Cătălin Dumitraș Dragoș Chitariu Luminița Bibire Adrian Stelian Ghenadi Valentin-Stelian Dragan Maricel Agop The Search for Atmospheric Laminar Channels: Experimental Results and Method Dissemination Sensors multifractal laminarity turbulence atmosphere lidar algorithm |
title | The Search for Atmospheric Laminar Channels: Experimental Results and Method Dissemination |
title_full | The Search for Atmospheric Laminar Channels: Experimental Results and Method Dissemination |
title_fullStr | The Search for Atmospheric Laminar Channels: Experimental Results and Method Dissemination |
title_full_unstemmed | The Search for Atmospheric Laminar Channels: Experimental Results and Method Dissemination |
title_short | The Search for Atmospheric Laminar Channels: Experimental Results and Method Dissemination |
title_sort | search for atmospheric laminar channels experimental results and method dissemination |
topic | multifractal laminarity turbulence atmosphere lidar algorithm |
url | https://www.mdpi.com/1424-8220/22/1/158 |
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