Natural Sources Aerosol Remote Monitoring (2nd Edition)

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

Deadline for manuscript submissions: 23 November 2024 | Viewed by 3699

Special Issue Editors


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Department of Physics, Università degli Studi di Napoli “Federico II”, 80126 Naples, Italy
Interests: Lidar; remote sensing; environmental physics; atmospheric aerosol; climate change
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CommSensLab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
Interests: atmospheric lidar; photometers; atmospheric aerosols; atmospheric remote sensing
Special Issues, Collections and Topics in MDPI journals

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Special Issue Information

Dear Colleagues,

This Special Issue is the second volume of the series of publications dedicated to " Natural Sources Aerosol Remote Monitoring”

(https://www.mdpi.com/journal/atmosphere/special_issues/7LS1CU8WV4) published in Atmosphere in 2023.

Atmospheric aerosol particles from both anthropogenic and natural sources represent major uncertainties in our knowledge of atmospheric processes and of the Earth radiative balance. They also play a strong role in the dynamics of climate change and in human health and safety.

Although there is a strong interest in the study of anthropic and natural components, the weight of the latter is still poorly investigated, which causes an unsatisfactory understanding of the interactions of natural aerosols in the terrestrial ecosystem and in their radiative effects. In particular, natural sources have a high contribution to background aerosol concentrations, and therefore, their accurate quantification is essential for the study of the mechanisms, interactions and impact of anthropogenic aerosols within the Earth system. In addition, this background is variable not only due to the uncertainties introduced by the unpredictability of natural events such as volcanic eruptions, desert sand transport, etc., but also as a consequence of human intervention, which is contributing to an increase not only in anthropogenic aerosols but also those of natural origin.

This Special Issue aims to combine the contributions of various studies, which, through the use of remote sensing techniques, investigate aerosols of natural origin and increase knowledge about their properties and mechanisms.

Dr. Alessia Sannino
Dr. Alejandro Rodríguez-Gómez
Dr. Simone Lolli
Guest Editors

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Keywords

  • remote sensing
  • natural aerosols
  • climate change
  • atmospheric aerosols
  • desert dust
  • volcanic ash
  • pollen
  • sea salt
  • marine aerosol
  • biomass burning

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Published Papers (3 papers)

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Research

15 pages, 6538 KiB  
Article
Wide and Deep Learning Model for Satellite-Based Real-Time Aerosol Retrievals in China
by Nana Luo, Junxiao Zou, Zhou Zang, Tianyi Chen and Xing Yan
Atmosphere 2024, 15(5), 564; https://doi.org/10.3390/atmos15050564 - 30 Apr 2024
Viewed by 949
Abstract
Machine learning methods have been recognized as rapid methods for satellite-based aerosol retrievals but have not been widely applied in geostationary satellites. In this study, we developed a wide and deep learning model to retrieve the aerosol optical depth (AOD) using Himawari-8. Compared [...] Read more.
Machine learning methods have been recognized as rapid methods for satellite-based aerosol retrievals but have not been widely applied in geostationary satellites. In this study, we developed a wide and deep learning model to retrieve the aerosol optical depth (AOD) using Himawari-8. Compared to traditional deep learning methods, we embedded a “wide” modeling component and tested the proposed model across China using independent training (2016–2018) and test (2019) datasets. The results showed that the “wide” model improves the accuracy and enhances model interpretability. The estimates exhibited better accuracy (R2 = 0.81, root-mean-square errors (RMSEs) = 0.19, and within the estimated error (EE) = 63%) than those of the deep-only models (R2 = 0.78, RMSE = 0.21, within the EE = 58%). In comparison with extreme gradient boosting (XGBoost) and Himawari-8 V2.1 AOD products, there were also significant improvements. In addition to higher accuracy, the interpretability of the proposed model was superior to that of the deep-only model. Compared with other seasons, higher contributions of spring to the AOD concentrations were interpreted. Based on the application of the wide and deep learning model, the near-real-time variation of the AOD over China could be captured with an ultrafine temporal resolution. Full article
(This article belongs to the Special Issue Natural Sources Aerosol Remote Monitoring (2nd Edition))
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15 pages, 766 KiB  
Article
Variability of Aerosol Optical Depth and Altitude for Key Aerosol Types over Southern West Africa via CALIPSO/CALIOP Observations
by Adou F. Niamien, Jean-François Léon, Marcellin Adon, Jean-Louis Rajot, Anaïs Feron and Véronique Yoboué
Atmosphere 2024, 15(4), 396; https://doi.org/10.3390/atmos15040396 - 23 Mar 2024
Viewed by 1048
Abstract
The atmosphere of southern West Africa (SWA) is one of the world’s most aerosol-laden regions. This study investigated the seasonal variability of aerosol optical thickness using photometric and CALIPSO/CALIOP observations. The mean daily aerosol optical thickness (AOD) at 550 nm over the 11 [...] Read more.
The atmosphere of southern West Africa (SWA) is one of the world’s most aerosol-laden regions. This study investigated the seasonal variability of aerosol optical thickness using photometric and CALIPSO/CALIOP observations. The mean daily aerosol optical thickness (AOD) at 550 nm over the 11 AERONET stations in SWA ranged from 0.35 in the Sahel area to 0.49 in the Guinea coast area and a maximum of 0.53 observed in the Savanna area. The AERONET and CALIOP observations reveal a seasonal variability of AOD that is comparable across all sub-regions studied. The seasonal variation of the AOD spectral dependency was related to the change in the occurrence of the CALIOP-derived aerosol types, and in particular to the contribution of dust to the AOD. We also observed a north–south gradient of 2 km in the mean extinction height of the dust layer, being at 4 km and 6 km high in the Sahel and Guinea areas, respectively. This gradient is attributed to the northward migration of the monsoon flow. Full article
(This article belongs to the Special Issue Natural Sources Aerosol Remote Monitoring (2nd Edition))
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15 pages, 6347 KiB  
Article
Analysis of Aerosol Types and Vertical Distribution in Seven Typical Cities in East Asia
by Qingxin Tang, Yinan Zhao, Yaqian He, Quanzhou Yu and Tianquan Liang
Atmosphere 2024, 15(2), 195; https://doi.org/10.3390/atmos15020195 - 2 Feb 2024
Viewed by 1183
Abstract
Identifying the types and vertical distribution of aerosols plays a significant role in evaluating the influence of aerosols on the climate system. Based on the aerosol optical properties obtained from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), this study analyzed the long-term [...] Read more.
Identifying the types and vertical distribution of aerosols plays a significant role in evaluating the influence of aerosols on the climate system. Based on the aerosol optical properties obtained from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), this study analyzed the long-term aerosol characteristics of seven cities in East Asia (Ulaanbaatar, Beijing, Lanzhou, Shanghai, Lhasa, Hong Kong, and Bangkok) from 2007 to 2021, including the spatiotemporal variations of aerosol optical depth (AOD), the vertical stratification characteristics of aerosols, and the main aerosol subtype. The results showed that, except for Lhasa, the AOD values of all cities exhibited a trend of initially increasing and then decreasing over the years. Except for Shanghai, the high values of AOD in the other cities occurred in the spring and summer seasons, while the low values occurred in the autumn and winter seasons. In all four seasons, the AOD contribution within the 1–3 km range accounted for more than 50% of the total. In the autumn and winter seasons, this proportion reached over 80%. The main types of aerosols and their contributions varied at different altitudes. Overall, dust, polluted continental/smoke, polluted dust, and elevated smoke dominated in all aerosol layers across each city. On the other hand, clean marine, clean continental, and dusty marine had very small proportions, accounting for less than 5% of all the cities’ aerosol layers. Full article
(This article belongs to the Special Issue Natural Sources Aerosol Remote Monitoring (2nd Edition))
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