Observation of Optical and Radiative Properties of Atmospheric Aerosols by Ground-Based Remote Sensing Measurements
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 55
Special Issue Editors
Interests: aerosol optical properties retrieval; surface irradiance estimation; satellite and ground remote sensing; machine learning applications
Interests: satellite remote sensing; urban carbon emission assessment; greenhouse gas detection
Interests: solar irradiance; aerosol and cloud radiative effects
Interests: CARSNET; atmospheric aerosols; remote sensing; atmospheric pollution; sunphotometer; aerosol optical properties
Special Issue Information
Dear Colleagues,
Atmospheric aerosols are critical components of the Earth’s climate system, significantly influencing radiative transfer processes and cloud microphysics. By scattering and absorbing solar and terrestrial radiation, aerosols affect the Earth’s radiative balance and contribute to phenomena such as direct and indirect radiative forcing. Additionally, aerosols serve as cloud condensation nuclei (CCN) and ice nuclei (IN), playing a key role in cloud formation, lifetime, and precipitation processes.
Ground-based remote sensing techniques offer high temporal resolutions and reliable measurements, making them indispensable for studying aerosols. Instruments such as sun photometers, lidars, and Thermo Scientific TEOM analyzers have extensively been used to retrieve key aerosol parameters, including aerosol optical depth (AOD), single scattering albedo (SSA), Ångström exponents, vertical profiles of aerosol extinction and backscatter coefficients, and particle matter concentrations. These observations provide crucial insights into aerosol size distribution, chemical composition, and radiative effects.
This issue seeks to consolidate innovative research on the observation of aerosol optical and radiative properties through ground-based remote sensing techniques. Topics of interest include advancements in retrieval algorithms, radiative transfer modeling, and their applications in climate and environmental studies, air quality monitoring, and extreme aerosol events such as dust storms and biomass burning. We also encourage contributions focusing on the integration of ground-based and satellite observations to enhance aerosol characterization across diverse geographical regions.
Dr. Disong Fu
Dr. Kai Wu
Dr. Hongrong Shi
Dr. Yu Zheng
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 aerosols
- ground-based remote sensing
- aerosol optical properties
- radiative transfer modeling
- lidar measurements
- radiative forcing
- sun photometry
- long-term monitoring
- data validation
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