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: 30 September 2024 | Viewed by 722
Special Issue Editors
Interests: air quality monitoring and modelling; satellite data applications; urban air pollution
Interests: remote sensing of the atmosphere and land; atmospheric environment; atmosphere-biosphere interactions
Special Issues, Collections and Topics in MDPI journals
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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