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Ground Based and Satellite Remote Sensing of Influence of Boundary Layer Dynamics on Aerosol and Air Quality

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

Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 1751

Special Issue Editors


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Guest Editor
Center for Remote sensing and Geoinformatics, Sathyabama Institute of Science and Technology, Chennai-600119, India
Interests: atmospheric remote sensing; aerosol studies; LiDAR remotesensing; Indian summer monsoon
Department of Earth and Space Sciences,, Indian Institute of Space Science and Technology, Valiamala P.O., Thiruvananthapuram 695 547, Kerala, India
Interests: balloon-borne measurement of aerosols; dynamics of aerosols; radiative impact of aerosols; aerosol-cloud-monsoon interaction

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Guest Editor
Aerosols, Radiation and Trace Gases Group, National Atmopsheric Research Laboratory, Gadanki 517502, Andhra Pradesh, India
Interests: aerosol radiative forcing; satellite remote sensing of aerosols and clouds; aerosol classification

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Guest Editor
The Fredy and Nadine Herrmann Institute of Earth Sciences, The Hebrew University, Jerusalem 9190401, Israel
Interests: mesoscale meteorology; modeling and prediction; atmospheric dust; data assimilation; planetary boundary layer; remote sensing; statistical and dynamical donwscaling; climate change

Special Issue Information

Dear Colleagues,

The dynamical changes in the atmospheric boundary layer plays a crucial role in aerosol generation, transport and air quality, especially in the urban and coastal environments.  High temporal and spatial resolution measurements of aerosol vertical distribution and boundary layer processes are very important for understanding the aerosol cloud interaction and air quality issues, which is only possible with ground-based and satellite remote sensing techniques. Although extensive research has been carried out using in situ observations and modelling, there is still much scope to obtain a better understanding of the changes in the vertical structure of aerosols using remote sensing techniques. Understanding the vertical distribution of aerosols in the boundary layer is important to delineate the root cause of air quality and visibility degradation.

The aim of the Special Issue is to thoroughly understand the effect of boundary layer dynamics on aerosol generation, transport, and air quality, using ground-based and satellite remote sensing techniques. In this Special Issue, we welcome the novel findings and high-quality research articles in the field of atmospheric aerosol studies using in situ, remote sensing and modelling techniques. Manuscripts can be related, but are not limited, to the following themes.

  1. Ground-based and satellite remote-sensing of aerosol vertical structure and properties.
  2. Unmanned aerial vehicle (UAV) for boundary layer aerosol profiling.
  3. Advanced machine learning and artificial intelligence tools to identify the mixing layer depths from different remote sensing datasets.
  4. Influence of boundary layer dynamics on the aerosol vertical distribution and vice versa.
  5. Boundary layer influence on air quality and visibility degradation.
  6. Innovative low-cost sensors network to investigate the spatio-temporal dispersion and impact on air quality.
  7. Influence of aerosol chemical composition on the thermal inversions (in boundary layer) and vertical dispersion of aerosols.
  8. Role of boundary layer in the formation and maintenance of urban heat island and associated meteorology.
  9. Source apportionment of aerosol particulate matter (including black carbon) and combustion gases (especially CO and CO2).
  10. Impact of surface-level aerosol composition and concentration on the columnar optical properties.

Dr. M. Roja Raman
Dr. P R Sinha
Dr. Bomidi Lakshmi Madhavan
Prof. Dorita Rostkier-Edelstein
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 boundary layer
  • Aerosols
  • Air quality
  • Atmospheric remote sensing
  • AI & ML
  • LIDAR

Published Papers (1 paper)

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Research

27 pages, 13597 KiB  
Article
Black Carbon in a City of the Atacama Desert before and after the Start of the COVID-19 Lockdown: Ground Measurements and MERRA-2 Reanalysis
by Rafael N. Liñán-Abanto, William Patrick Arnott, Guadalupe Paredes-Miranda, Omar Ramos-Pérez, Dara Salcedo, Hugo Torres-Muro, Rosa M. Liñán-Abanto and Giovanni Carabali
Remote Sens. 2023, 15(19), 4702; https://doi.org/10.3390/rs15194702 - 26 Sep 2023
Cited by 1 | Viewed by 1281
Abstract
In this study, the temporal variations of black carbon (BC) were analyzed from November 2019 to September 2021, in Tacna, Peru. Ground measurements obtained with a photoacoustic extinctiometer (PAX BC) and NASA’s MERRA-2 reanalysis data (MERRA-2 BC) were used. The seasonal concentrations of [...] Read more.
In this study, the temporal variations of black carbon (BC) were analyzed from November 2019 to September 2021, in Tacna, Peru. Ground measurements obtained with a photoacoustic extinctiometer (PAX BC) and NASA’s MERRA-2 reanalysis data (MERRA-2 BC) were used. The seasonal concentrations of PAX BC (mean ± standard deviation) were as follows: 0.70 ± 0.35, 0.73 ± 0.46, 0.70 ± 0.39, and 0.85 ± 0.46 µg m−3, for spring, summer, autumn, and winter, respectively; while MERRA-2 BC values were 0.12 ± 0.11, 0.06 ± 0.02, 0.06 ± 0.02, and 0.11 ± 0.06 µg m−3, for the same seasons. We found a large discrepancy between these two techniques, as the PAX BC measurements were an order of magnitude higher than the MERRA-2 BC values. In addition, MERRA-2 did not record urban pollution events and did not present the BC weekend effect. The most frequent wind direction (81%) was from the southwest and the sources of greatest contamination were located to the northeast and southeast. The Mann–Kendall test confirmed a downward trend in PAX BC one week (37%) and two weeks (30%) after the start of the COVID-19 lockdown, and no trend in MERRA-2 BC. These results suggest that MERRA-2 underestimates the BC emissions from local sources. Full article
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