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Special Issue "Lidar for Advanced Classification and Retrieval of Aerosols II"

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 August 2023) | Viewed by 875

Special Issue Editors

1. Applied Physics Department, University of Granada, 18010 Granada, Spain
2. Andalusian Institute for Earth System Research (IISTA), 18010 Granada, Spain
Interests: atmospheric pollution; satellite image analysis; atmospheric physics
Special Issues, Collections and Topics in MDPI journals
School of Earth and Space Sciences, University of Sciences and Technology of China, Hefei 230026, China
Interests: lidar; atmospheric aerosols; remote sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is the second edition of the Special Issue: “Lidar for Advanced Classification and Retrieval of Aerosols”.

Aerosols affect the earth–atmosphere radiative system directly, by scattering and absorbing solar radiation, and indirectly, by altering the lifetime and development of clouds. Reducing the uncertainty in direct aerosol radiative forcing (DARF) is a necessary step in reconciling estimates of radiative forcing and the equilibrium climate sensitivity of the Earth, so that future predictions of surface temperature associated with climate change can be made with confidence. In this sense, lidar measurements have huge impacts on the increase in knowledge of aerosol optical properties’ vertical profiles but fail to provide accurate retrievals of aerosol microphysical properties. Only multiwavelength lidar measurements that combine independent backscattering and extinction measurements can provide a proxy for aerosol microphysical properties, and further developments are still required to advance code developments and accurate particle scattering and extinction modeling. Nevertheless, the development of multiwavelength depolarization measurements permits aerosol typing, but its integration in aerosol microphysical properties’ inversion codes requires further modeling. On the other hand, passive ground-based radiometers and space polarimeters do provide accurate aerosol microphysical properties, but retrieved values are representative of the whole atmospheric column. The integration of these passive remote-sensing devices with lidar measurements can serve to exploit simple lidar instruments, which are only capable of acquiring backscattering signals; however, they operate in a continuous way through lidar networks such as MPLNET or EARLINET-ACTRIS.

Topics covered by this Special Issue may include, but are not limited to:

  • Use of extensive data from lidar ground-based networks (e.g., MPLNET, EARLINET) for the classification of aerosol optical and microphysical properties;
  • Use of extensive data from the space-borne lidar system and their synergy with other passive instrumentation for the classification of aerosol optical and microphysical properties;
  • Developments in modeling aerosol particles’ optical and microphysical properties for lidar applications;
  • Developments in solving ill-posed problems for the retrieval of aerosol microphysical properties using lidar.

Dr. Daniel Pérez-Ramírez
Prof. Dr. Haiyun Xia
Dr. Simone Lolli
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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.


  • lidar
  • aerosol microphysical retrievals
  • aerosol typing
  • ground-based networks
  • radiative transfer

Published Papers (1 paper)

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33 pages, 19921 KiB  
Combined Characterization of Airborne Saharan Dust above Sofia, Bulgaria, during Blocking-Pattern Conditioned Dust Episode in February 2021
Remote Sens. 2023, 15(15), 3833; - 01 Aug 2023
Viewed by 640
The wintertime outbreaks of Saharan dust, increasing in intensity and frequency over the last decade, have become an important component of the global dust cycle and a challenging issue in elucidating its feedback to the ongoing climate change. For their adequate monitoring and [...] Read more.
The wintertime outbreaks of Saharan dust, increasing in intensity and frequency over the last decade, have become an important component of the global dust cycle and a challenging issue in elucidating its feedback to the ongoing climate change. For their adequate monitoring and characterization, systematic multi-instrument observations and multi-aspect analyses of the distribution and properties of desert aerosols are required, covering the full duration of dust events. In this paper, we present observations of Saharan dust in the atmosphere above Sofia, Bulgaria, during a strong dust episode over the whole of Europe in February 2021, conditioned by a persistent blocking weather pattern over the Mediterranean basin, providing clear skies and constant measurement conditions. This study was accomplished using different remote sensing (lidar, satellite, and radiometric), in situ (particle analyzing), and modeling/forecasting methods and resources, using real measurements and data (re)analysis. A wide range of columnar and range/time-resolved optical, microphysical, physical, topological, and dynamical characteristics of the detected aerosols dominated by desert dust are obtained and profiled with increased accuracy and reliability by combining the applied approaches and instruments in terms of complementarity, calibration, and normalization. Vertical profiles of the aerosol/dust total and mode volume concentrations are presented and analyzed using the LIRIC-2 inversion code joining lidar and sun-photometer data. The results show that interactive combining and use of various relevant approaches, instruments, and data have a significant synergistic effect and potential for verifying and improving theoretical models aimed at complete aerosol/dust characterization. Full article
(This article belongs to the Special Issue Lidar for Advanced Classification and Retrieval of Aerosols II)
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