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Remote Sensing of Atmospheric Vertical Profile—Air Quality, Pollution and Aerosol Optical Properties

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 2254

Special Issue Editors

Dr. Min Xie

E-Mail Website
Guest Editor
School of Environment, Nanjing Normal University, Nanjing 210023, China
Interests: air quality monitoring and modelling; satellite data applications; urban air pollution
Dr. Jane Liu

E-Mail Website
Guest Editor
Department of Geography & Planning, University of Toronto, Toronto, ON M5S 3G3, Canada
Interests: remote sensing of the atmosphere and land; atmospheric environment; atmosphere-biosphere interactions
Special Issues, Collections and Topics in MDPI journals
Dr. Bingliang Zhuang

E-Mail Website
Guest Editor
School of Atmospheric Sciences, Nanjing University, Nanjing 210023, China
Interests: regional air pollution and climate change; remote sensing of aerosols

Special Issue Information

Dear Colleagues,

The atmospheric profile provides valuable information regarding the structure, composition, and dynamics of Earth’s atmosphere. Since the late 1970s, remote sensing sensors have been developed to measure atmospheric trace gases and aerosols, thereby enhancing our understanding of the optical properties of aerosols and the three-dimensional transportation of pollutants and their chemical reactions. Remote sensing techniques also contribute to a better knowledge of the impact of aerosols on the vertical layer structure of the atmosphere and climate change through direct and indirect effects. The integration of observed three-dimensional data into atmospheric models through data assimilation techniques can further improve the accuracy of weather forecasts and air quality predictions. The study of air pollution and aerosol optical properties through atmospheric vertical profile remote sensing is also of importance for understanding the climate effects of aerosols, implementing air pollution control measures, and enhancing air quality predictions.

The primary objective of this Special Issue is to delve into the capabilities, limitations, and recent advancements in remote sensing for atmospheric vertical profiles. It aims to unravel the complexity of atmospheric vertical structures and their interactions with aerosols through remote sensing data and analyses of the optical properties of aerosols.

Articles may address, but are not limited to, the following topics:

  • Remote sensing aerosol retrieval algorithms;
  • Machine learning in atmospheric profile retrieval;
  • Vertical distribution, transport, and diffusion of aerosols;
  • Optical properties and radiative effects of aerosols;
  • Aerosol–cloud microphysics effects;
  • Assimilation of atmospheric vertical profile observations;
  • Simulation and validation of atmospheric vertical profiles;
  • Variations in boundary-layer aerosols;
  • Three-dimensional remote sensing in cities.

Dr. Min Xie
Dr. Jane Liu
Dr. Bingliang Zhuang
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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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 vertical profile
  • aerosol optical properties
  • aerosol transportation
  • aerosol radiative effect
  • aerosol-cloud microphysics effects
  • boundary layer pollution
  • remote sensing retrieval algorithms
  • machine learning applications in remote sensing

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

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27 pages, 11457 KiB  
Article
From Polar Day to Polar Night: A Comprehensive Sun and Star Photometer Study of Trends in Arctic Aerosol Properties in Ny-Ålesund, Svalbard
by Sandra Graßl, Christoph Ritter, Jonas Wilsch, Richard Herrmann, Lionel Doppler and Roberto Román
Remote Sens. 2024, 16(19), 3725; https://doi.org/10.3390/rs16193725 - 7 Oct 2024
Viewed by 1138
Abstract
The climate impact of Arctic aerosols, like the Arctic Haze, and their origin are not fully understood. Therefore, long-term aerosol observations in the Arctic are performed. In this study, we present a homogenised data set from a sun and star photometer operated in [...] Read more.
The climate impact of Arctic aerosols, like the Arctic Haze, and their origin are not fully understood. Therefore, long-term aerosol observations in the Arctic are performed. In this study, we present a homogenised data set from a sun and star photometer operated in the European Arctic, in Ny-Ålesund, Svalbard, of the 20 years from 2004–2023. Due to polar day and polar night, it is crucial to use observations of both instruments. Their data is evaluated in the same way and follows the cloud-screening procedure of AERONET. Additionally, an improved method for the calibration of the star photometer is presented. We found out, that autumn and winter are generally more polluted and have larger particles than summer. While the monthly median Aerosol Optical Depth (AOD) decreases in spring, the AOD increases significantly in autumn. A clear signal of large particles during the Arctic Haze can not be distinguished from large aerosols in winter. With autocorrelation analysis, we found that AOD events usually occur with a duration of several hours. We also compared AOD events with large-scale processes, like large-scale oscillation patterns, sea ice, weather conditions, or wildfires in the Northern Hemisphere but did not find one single cause that clearly determines the Arctic AOD. Therefore the observed optical depth is a superposition of different aerosol sources. Full article
(This article belongs to the Special Issue Remote Sensing of Atmospheric Vertical Profile—Air Quality, Pollution and Aerosol Optical Properties)
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14 pages, 3542 KiB  
Technical Note
Study on Daytime Atmospheric Mixing Layer Height Based on 2-Year Coherent Doppler Wind Lidar Observations at the Southern Edge of the Taklimakan Desert
by Lian Su, Haiyun Xia, Jinlong Yuan, Yue Wang, Amina Maituerdi and Qing He
Remote Sens. 2024, 16(16), 3005; https://doi.org/10.3390/rs16163005 - 16 Aug 2024
Cited by 1 | Viewed by 639
Abstract
The long-term atmospheric mixing layer height (MLH) information plays an important role in air quality and weather forecasting. However, it is not sufficient to study the characteristics of MLH using long-term high spatial and temporal resolution data in the desert. In this paper, [...] Read more.
The long-term atmospheric mixing layer height (MLH) information plays an important role in air quality and weather forecasting. However, it is not sufficient to study the characteristics of MLH using long-term high spatial and temporal resolution data in the desert. In this paper, over the southern edge of the Taklimakan Desert, the diurnal, monthly, and seasonal variations in the daytime MLH (retrieved by coherent Doppler wind lidar) and surface meteorological elements (provided by the local meteorological station) in a two-year period (from July 2021 to July 2023) were statistically analyzed, and the relationship between the two kinds of data was summarized. It was found that the diurnal average MLH exhibits a unimodal distribution, and the decrease rate in the MLH in the afternoon is much higher than the increase rate before noon. From the seasonal and monthly perspective, the most frequent deep mixing layer (>4 km) was formed in June, and the MLH is the highest in spring and summer. Finally, in terms of their mutual relationship, it was observed that the east-pathway wind has a greater impact on the formation of the deep mixing layer than the west-pathway wind; the dust weather with visibility of 1–10 km contributes significantly to the formation of the mixing layer; the temperature and relative humidity also exhibit a clear trend of a concentrated distribution at about the height of 3 km. The statistical analysis of the MLH deepens the understanding of the characteristics of dust pollution in this area, which is of great significance for the treatment of local dust pollution. Full article
(This article belongs to the Special Issue Remote Sensing of Atmospheric Vertical Profile—Air Quality, Pollution and Aerosol Optical Properties)
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