Lidar for Advanced Classification and Retrieval of Aerosols (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 30 September 2024 | Viewed by 1375
Special Issue Editors
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
Interests: lidar; atmospheric aerosols; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: radiative transfer; aerosols; lidar; image fusion
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
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Keywords
- lidar
- aerosol microphysical retrievals
- aerosol typing
- ground-based networks
- radiative transfer
