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Atmosphere
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Remote Sensing of Atmospheric Aerosols
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Remote Sensing of Atmospheric Aerosols

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Aerosols".

Deadline for manuscript submissions: closed (2 December 2021) | Viewed by 7746

Special Issue Editors

Dr. Xiaoguang Richard Xu

E-Mail Website
Guest Editor
Earth and Space Institute, University of Maryland Baltimore County, Baltimore, MD 21250, USA
Interests: aerosol and cloud remote sensing; radiative transfer; chemistry transport modeling; SmallSat and CubeSat observations
Special Issues, Collections and Topics in MDPI journals
Dr. Chong Shi

E-Mail Website
Guest Editor
National Institute for Environmental Studies, Center for Global Environmental Research, 16-2 onogawa, Tsukuba, Ibaraki 305-8506, Japan
Interests: radiative transfer; remote sensing of aerosols; ocean color; machine learning
Dr. Linlu Mei

E-Mail Website
Guest Editor
1. The International Research Center of Big Data for Sustainable Development Goals, Beijing, China
2. Institute of Environmental Physics, University of Bremen, Bremen, Germany
Interests: atmospheric remote sensing; polar remote sensing; climate change; SDGs; big data
Special Issues, Collections and Topics in MDPI journals
Dr. Minghui Tao

E-Mail Website
Guest Editor
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China
Interests: remote sensing of atmosphere; radiative transfer and particle scattering; air quality and climate change
Special Issues, Collections and Topics in MDPI journals
Dr. Giuliano Liuzzi

E-Mail Website
Guest Editor
1. NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
2. Department Of Physics, American University, Washington DC 20016, USA
Interests: radiative transfer; remote sensing; retrievals; trace gases; atmospheric spectroscopy; Mars; aerosols; instrument modeling

Special Issue Information

Dear Colleagues,

Atmospheric aerosols, also known as particulate matters (PM), play a critical role in the changing climate and environment of our planet. Remote sensing observations from satellite, suborbital, and ground-based platforms offer various ways to understand the spatial/temporal distribution of aerosol properties and their impacts on weather, climate, and air quality on both regional and global scales. This special issue aims to highlight the advances in the topic of “remote sensing of atmospheric aerosols”. We encourage submissions of research papers and review articles focusing on theoretical investigations, retrieval algorithm developments, and corresponding applications relevant to aerosol remote sensing, including but not limited to:

  • Radiative transfer modeling, particle scattering measurements and modeling
  • Development of aerosol retrieval algorithms and evaluation of aerosol products for various (i.e., passive and/or active) satellite, airborne, and/or ground-based remote sensing instruments
  • Application of remote sensing observations to characterize aerosol properties, to constrain aerosol emission estimates, to improve air quality monitoring and forecast, or to quantify aerosol climate forcing in various temporal and spatial (e.g., global, regional, or episodic) scales
  • New missions and instruments: Aerosol remote sensing instrument development, deployment, and calibration

Dr. Xiaoguang (Richard) Xu
Dr. Chong Shi
Dr. Linlu Mei
Dr. Minghui Tao
Dr. Giuliano Liuzzi
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

  • radiative transfer and light scattering
  • aerosol remote sensing
  • air quality
  • climate change

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Published Papers (2 papers)

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Research

23 pages, 5437 KiB  
Article
Mobile On-Road Measurements of Aerosol Optical Properties during MOABAI Campaign in the North China Plain
by Ioana Elisabeta Popovici, Zhaoze Deng, Philippe Goloub, Xiangao Xia, Hongbin Chen, Luc Blarel, Thierry Podvin, Yitian Hao, Hongyan Chen, Benjamin Torres, Stéphane Victori and Xuehua Fan
Atmosphere 2022, 13(1), 21; https://doi.org/10.3390/atmos13010021 - 24 Dec 2021
Cited by 1 | Viewed by 3038
Abstract
We present the mapping at fine spatial scale of aerosol optical properties using a mobile laboratory equipped with LIDAR (Light Detection And Ranging), sun photometer and in situ instruments for performing on-road measurements. The mobile campaign was conducted from 9 May to 19 [...] Read more.
We present the mapping at fine spatial scale of aerosol optical properties using a mobile laboratory equipped with LIDAR (Light Detection And Ranging), sun photometer and in situ instruments for performing on-road measurements. The mobile campaign was conducted from 9 May to 19 May 2017 and had the main objective of mapping the distribution of pollutants in the Beijing and North China Plain (NCP) region. The highest AOD (Aerosol Optical Depth) at 440 nm of 1.34 and 1.9 were recorded during two heavy pollution episodes on 18 May and 19 May 2017, respectively. The lowest Planetary Boundary Layer (PBL) heights (0.5–1.5 km) were recorded during the heavy pollution events, correlating with the highest AOD and southern winds. The transport of desert dust from the Gobi Desert was captured during the mobile measurements, impacting Beijing during 9–13 May 2017. Exploring the NCP outside Beijing provided datasets for regions with scarce ground measurements and allowed the mapping of high aerosol concentrations when passing polluted cities in the NCP (Baoding, Tianjin and Tangshan) and along the Binhai New Area. For the first time, we provide mass concentration profiles from the synergy of LIDAR, sun photometer and in situ measurements. The case study along the Binhai New Area revealed mean extinction coefficients of 0.14 ± 0.10 km−1 at 532 nm and a mass concentration of 80 ± 62 μg/m3 in the PBL (<2 km). The highest extinction (0.56 km−1) and mass concentrations (404 μg/m3) were found in the industrial Binhai New Area. The PM10 and PM2.5 fractions of the total mass concentration profiles were separated using the columnar size distribution, derived from the sun photometer measurements. This study offers unique mobile datasets of the aerosol optical properties in the NCP for future applications, such as satellite validation and air quality studies. Full article
(This article belongs to the Special Issue Remote Sensing of Atmospheric Aerosols)
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26 pages, 7830 KiB  
Article
Radiative Effect and Mixing Processes of a Long-Lasting Dust Event over Athens, Greece, during the COVID-19 Period
by Panagiotis Kokkalis, Ourania Soupiona, Christina-Anna Papanikolaou, Romanos Foskinis, Maria Mylonaki, Stavros Solomos, Stergios Vratolis, Vasiliki Vasilatou, Eleni Kralli, Dimitra Anagnou and Alexandros Papayannis
Atmosphere 2021, 12(3), 318; https://doi.org/10.3390/atmos12030318 - 28 Feb 2021
Cited by 14 | Viewed by 3397
Abstract
We report on a long-lasting (10 days) Saharan dust event affecting large sections of South-Eastern Europe by using a synergy of lidar, satellite, in-situ observations and model simulations over Athens, Greece. The dust measurements (11–20 May 2020), performed during the confinement period due [...] Read more.
We report on a long-lasting (10 days) Saharan dust event affecting large sections of South-Eastern Europe by using a synergy of lidar, satellite, in-situ observations and model simulations over Athens, Greece. The dust measurements (11–20 May 2020), performed during the confinement period due to the COVID-19 pandemic, revealed interesting features of the aerosol dust properties in the absence of important air pollution sources over the European continent. During the event, moderate aerosol optical depth (AOD) values (0.3–0.4) were observed inside the dust layer by the ground-based lidar measurements (at 532 nm). Vertical profiles of the lidar ratio and the particle linear depolarization ratio (at 355 nm) showed mean layer values of the order of 47 ± 9 sr and 28 ± 5%, respectively, revealing the coarse non-spherical mode of the probed plume. The values reported here are very close to pure dust measurements performed during dedicated campaigns in the African continent. By utilizing Libradtran simulations for two scenarios (one for typical midlatitude atmospheric conditions and one having reduced atmospheric pollutants due to COVID-19 restrictions, both affected by a free tropospheric dust layer), we revealed negligible differences in terms of radiative effect, of the order of +2.6% (SWBOA, cooling behavior) and +1.9% (LWBOA, heating behavior). Moreover, the net heating rate (HR) at the bottom of the atmosphere (BOA) was equal to +0.156 K/d and equal to +2.543 K/d within 1–6 km due to the presence of the dust layer at that height. On the contrary, the reduction in atmospheric pollutants could lead to a negative HR (−0.036 K/d) at the bottom of the atmosphere (BOA) if dust aerosols were absent, while typical atmospheric conditions are estimated to have an almost zero net HR value (+0.006 K/d). The NMMB-BSC forecast model provided the dust mass concentration over Athens, while the air mass advection from the African to the European continent was simulated by the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. Full article
(This article belongs to the Special Issue Remote Sensing of Atmospheric Aerosols)
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