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New Insights into the Investigation of Atmospheric Aerosols from Remote Sensing Measurements

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 10278

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Special Issue Editors

Dr. Francisco Navas-Guzmán

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Guest Editor

Federal Office of Meteorology and Climatology MeteoSwiss
Interests: aerosols; water vapour; tropospheric and stratospheric temperature; climate; aerosol-cloud interactions; remote sensing observations of the atmosphere; lidar; microwave radiometers
Special Issues, Collections and Topics in MDPI journals

Dr. María José Granados-Muñoz

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Guest Editor

Applied Physics Department, University of Granada, and Andalusian Research Institute for the Earth System, 18071 Granada, Spain
Interests: atmospheric aerosol; lidar; radiation; tropospheric ozone; remote sensing of the atmosphere; clouds; aerosol–cloud interaction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Atmospheric aerosol remains one of the largest sources of uncertainty for climate models. The main reason for that stems from the lack of an appropriate spatial and temporal characterization of the aerosol. Vertical information of aerosol properties is crucial to quantify the aerosol direct effect but also for a better understanding of aerosol–cloud interactions (indirect effect). In recent years, huge efforts have been made in order to develop new algorithms and find new strategies to improve this aerosol characterization. In addition, networks such as EARLINET, AERONET or E-Profile have achieved a better spatial and temporal coverage of aerosol properties. This Special Issue aims to bring together the latest retrieval techniques, highlight new aerosol property datasets, and explore the potential of the synergy of different instrumentation to improve aerosol products. Advanced active and passive instruments (such as lidar, sun-photometers, and others) and related retrieval algorithms for ground-based and space-based observation are all encouraged.

Dr. Francisco Navas-Guzmán
Dr. María José Granados-Muñoz
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 aerosol
Remote sensing measurements
Retrieval techniques
Aerosol–cloud interaction
Spatial and temporal characterization
Aerosol property datasets
Radiative effects

Published Papers (3 papers)

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Research

16 pages, 5356 KiB

Open AccessArticle

Characterization of Stratospheric Smoke Particles over the Antarctica by Remote Sensing Instruments

by Ramiro González, Carlos Toledano, Roberto Román, David Mateos, Eija Asmi, Edith Rodríguez, Ian C. Lau, Jonathan Ferrara, Raúl D’Elia, Juan Carlos Antuña-Sánchez, Victoria E. Cachorro, Abel Calle and Ángel M. de Frutos

Remote Sens. 2020, 12(22), 3769; https://doi.org/10.3390/rs12223769 - 17 Nov 2020

Cited by 9 | Viewed by 3056

Abstract

Australian smoke from the extraordinary biomass burning in December 2019 was observed over Marambio, Antarctica from the 7th to the 10th January, 2020. The smoke plume was transported thousands of kilometers over the Pacific Ocean, and reached the Antarctic Peninsula at a hight of 13 km, as determined by satellite lidar observations. The proposed origin and trajectory of the aerosol are supported by back-trajectory model analyses. Ground-based Sun–Sky–Moon photometer belonging to the Aerosol Robotic Network (AERONET) measured aerosol optical depth (500 nm wavelength) above 0.3, which is unprecedented for the site. Inversion of sky radiances provide the optical and microphysical properties of the smoke over Marambio. The AERONET data near the fire origin in Tumbarumba, Australia, was used to investigate the changes in the measured aerosol properties after transport and ageing. The analysis shows an increase in the fine mode particle radius and a reduction in absorption (increase in the single scattering albedo). The available long-term AOD data series at Marambio suggests that smoke particles could have remained over Antarctica for several weeks after the analyzed event. Full article

(This article belongs to the Special Issue New Insights into the Investigation of Atmospheric Aerosols from Remote Sensing Measurements)

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23 pages, 3090 KiB

Open AccessArticle

Feasibility of Ceilometers Data to Estimate Radiative Forcing Values: Application to Different Conditions around the COVID-19 Lockdown Period

by Ruben Barragan, Francisco Molero, María José Granados-Muñoz, Pedro Salvador, Manuel Pujadas and Begoña Artíñano

Remote Sens. 2020, 12(22), 3699; https://doi.org/10.3390/rs12223699 - 11 Nov 2020

Cited by 8 | Viewed by 2061

Abstract

In this study, the feasibility of using ceilometer signals to retrieve radiative forcing values is evaluated. The Global Atmospheric Model (GAME) radiative transfer model is used to estimate the shortwave and longwave radiative forcing using an aerosol parameterization based on AERONET data and vertical profiles from a Lufft CHM-15k Nimbus ceilometer. First, eight cases confirmed as dusty days are analyzed to check the feasibility of using ceilometer profiles to feed GAME. The obtained radiative forcing estimates are in good agreement with the literature showing negative values in the short wave (SW) (cooling effect) and positive values in the long wave (LW) (heating effect), both at all levels. As in the literature, radiative forcing estimates show a strong dependence on variations in the aerosol optical depth (AOD), solar zenith angle (

θ_{z}

), surface temperature (ST), and single scattering albedo at 440 nm (SSA₄₄₀). Thus, GAME can be fed using ceilometer measurements obtaining reliable results. Then, as the temporal evolution of the AOD₄₄₀ between 27 January and 15 June compared to the 6-year weekly AERONET AOD₄₄₀ average (from 2014 to 2019) shows a decrease because of the lockdown imposed in Spain due to the COVID-19, a total of 37 radiative forcing calculations without African dust, divided into 8 scenarios, are performed in order to check the effect of the lockdown measures in the radiative forcing. It is shown that the decrease in the AOD, during the lockdown, caused a decrease in the cooling effect in the SW spectral range at all levels. Besides, the increase in the ST increased the heating effect of the aerosols in the LW at the top of the atmosphere and the presence of pollution and absorbing particles (SSA₄₄₀ < 0.90) caused an increase of the heating effect in the LW at the surface. Therefore, the observed variations in the radiative forcing estimates before and during the lockdown are directly related with the decrease in emissions of aerosols related to human activities. Full article

(This article belongs to the Special Issue New Insights into the Investigation of Atmospheric Aerosols from Remote Sensing Measurements)

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21 pages, 5130 KiB

Open AccessArticle

Short-Range Elastic Backscatter Micro-Lidar for Quantitative Aerosol Profiling with High Range and Temporal Resolution

by Romain Ceolato, Andres E. Bedoya-Velásquez and Vincent Mouysset

Remote Sens. 2020, 12(20), 3286; https://doi.org/10.3390/rs12203286 - 10 Oct 2020

Cited by 7 | Viewed by 4396

Abstract

A bi-static short-range elastic backscatter micro-lidar, named Colibri, has been developed for quantitative aerosol profiling with high range and temporal resolution within the first hundred meters. The geometric (i.e., overlap) and radiometric (i.e., lidar constant) calibrations were performed along with dark current and background noise characterizations. Results of a measurement campaign have demonstrated the capability of our system to characterize aerosol plumes with high range-resolution (<10 cm) in the short-range close to their emission sources (from 10 m). To this aim, fog-oil aerosol plumes were generated in a tunnel and characterized by using an optical particle counter. A forward inverse method without boundary conditions is presented for inverting short-range lidar profiles when no reference molecular zone is available. Lastly, we report the different retrieved lidar products, namely the distribution of aerosol layers, radiative properties (i.e., backscatter profiles), and the microphysical properties (i.e., number concentration profiles). For the validation of the proposed methodology, the lidar products were compared with measurements from the optical particle counter. Lastly, the impact of calibration errors on the lidar products is discussed through an uncertainty analysis. Full article

(This article belongs to the Special Issue New Insights into the Investigation of Atmospheric Aerosols from Remote Sensing Measurements)

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