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Atmosphere
Special Issues
Effects and Relations of Atmospheric Circulation on Remote Sensing Data
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Effects and Relations of Atmospheric Circulation on Remote Sensing Data

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Atmospheric Techniques, Instruments, and Modeling".

Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 3592

Special Issue Editors

Dr. Marius M. Cazacu

E-Mail Website
Guest Editor
Department of Physics, Gheorghe Asachi Technical University of Iași, 700050 Iași, Romania
Interests: remote sensing techniques for environmental monitoring; long-range transport of aerosols; pollution; environmental engineering, atmospheric pollution; analytical microscopy, nanoscale imaging and spectroscopy; optical atmosphere; spectroscopy and lasers; physics
Special Issues, Collections and Topics in MDPI journals
Dr. Lucian Sfica

E-Mail Website
Guest Editor
Department of Geography, Faculty of Geography and Geology, Alexandru Ioan Cuza University, 700506 Iasi, Romania
Interests: atmospheric circulation classification; large-scale mechanisms of atmospheric circulation; relationships between weather conditions and atmospheric pollution

Special Issue Information

Dear Colleagues,

Atmospheric pollution has become an increasing problem worldwide and is associated with urbanization. Efforts of scientists are needed to help improve our ability to predict, at local and regional scales, pollution events and their impacts, especially in the context of the increasingly important smart city concept.

Modern and improved remote sensing techniques have great potential to gather information on atmospheric pollution. One important driver of atmospheric pollution is represented by the weather conditions, which represent the effect of atmospheric circulation. These contributions include recent experimental and modeling works, techniques and developments designed for the assessment of atmospheric circulation and long-range transport of aerosols and pollutants. We are also interested in reviews with possible future lines of investigations. Both observational and modeling approaches are welcomed.

Topics of interest include, but are not limited to the following:

  • Remote sensing observations of atmospheric optical properties
  • Classification of atmospheric circulation applied to atmospheric pollution
  • Influence of atmospheric circulation on aerosol optical characteristics
  • Atmospheric circulation patterns associated with air quality/pollution
  • Long-range transport of radioactive particles
  • Implementation of air pollution forecast for smart city concept
  • Case studies of pollution events in relation with atmospheric circulation

Dr. Marius M. Cazacu
Dr. Lucian Sfica
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Atmospheric pollution
  • Remote sensing for atmospheric observation
  • Atmospheric circulation
  • Air quality
  • Smart city

Published Papers (2 papers)

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Research

22 pages, 101553 KiB  
Article
Towards Possible Laminar Channels through Turbulent Atmospheres in a Multifractal Paradigm
by Iulian-Alin Roșu, Dragos-Constantin Nica, Marius Mihai Cazacu and Maricel Agop
Atmosphere 2021, 12(8), 1038; https://doi.org/10.3390/atmos12081038 - 13 Aug 2021
Cited by 5 | Viewed by 1240
Abstract
In this paper, developments are made towards simulating complex atmospheric behavior using turbulent energy cascade staging models developed through scale relativity theories. Such theoretical considerations imply gauges that describe atmospheric parameters as multifractal functions undertaking scale symmetry breaking at each stage of the [...] Read more.
In this paper, developments are made towards simulating complex atmospheric behavior using turbulent energy cascade staging models developed through scale relativity theories. Such theoretical considerations imply gauges that describe atmospheric parameters as multifractal functions undertaking scale symmetry breaking at each stage of the turbulent energy cascade. It is found that gauges of higher complexity (in this case, a Riccati-type gauge) can exhibit more complex behavior accordingly, such as both dilation and contraction, but properly parameterizing the solutions formed by these gauges in terms of turbulent staging can be challenging given the multiple constants and parameters. However, it is found that a logistic-type approximation of the multifractal equations of motion that describe turbulent atmospheric entities can be coupled with a model produced by a simpler gauge, and this combination can reveal instances of laminar, or otherwise non-chaotic, behavior in a given turbulent flow at certain scales. Employing the theory with elastic lidar data, quasi-laminar behavior is found in the vicinity of the planetary boundary layer height, and laminar channels are revealed throughout an atmospheric column—these might be used to reveal complex vertical transport behavior in the atmospheric column. Full article
(This article belongs to the Special Issue Effects and Relations of Atmospheric Circulation on Remote Sensing Data)
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23 pages, 19223 KiB  
Article
Multifractal Model of Atmospheric Turbulence Applied to Elastic Lidar Data
by Iulian Alin Roșu, Marius Mihai Cazacu and Maricel Agop
Atmosphere 2021, 12(2), 226; https://doi.org/10.3390/atmos12020226 - 06 Feb 2021
Cited by 6 | Viewed by 1643
Abstract
This paper shall present a multifractal interpretation of turbulent atmospheric entities, considering them a complex system whose dynamics are manifested on continuous yet non-differentiable multifractal curves. By bringing forth theoretical considerations regarding multifractal structures through non-differentiable functions in the form of an adaptation [...] Read more.
This paper shall present a multifractal interpretation of turbulent atmospheric entities, considering them a complex system whose dynamics are manifested on continuous yet non-differentiable multifractal curves. By bringing forth theoretical considerations regarding multifractal structures through non-differentiable functions in the form of an adaptation of scale relativity theory, the minimal vortex of an instance of turbulent flow is considered. In this manner, the spontaneous breaking of scale invariance becomes a mechanism for atmospheric turbulence generation. This then leads to a general equation for the non-differentiable vortex itself, with its component velocity fields, and to a vortex turbulent energy dissipation—all of which are plotted and studied. Once the structure of the non-differentiable multifractal structure is mathematically described, an improved phenomenological turbulence model and relations between turbulent energy dissipation and the minimal vortex are employed together, exemplifying the codependency of such models. Using turbulent medium wave propagation theory, certain relations are then extrapolated which allow the obtaining of the inner and outer length scales of the turbulent flow using lidar data. Finally, these altitude profiles are compiled and assembled into timeseries to exemplify the theory and to compare the results with known literature. This model is a generalization of our recent results published under the title “On a Multifractal Approach of Turbulent Atmosphere Dynamics”. Full article
(This article belongs to the Special Issue Effects and Relations of Atmospheric Circulation on Remote Sensing Data)
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