| Issue |
EPJ Web Conf.
Volume 237, 2020
The 29th International Laser Radar Conference (ILRC 29)
|
|
|---|---|---|
| Article Number | 08002 | |
| Number of page(s) | 4 | |
| Section | Lidar Data Analysis and Models | |
| DOI | https://doi.org/10.1051/epjconf/202023708002 | |
| Published online | 07 July 2020 | |
https://doi.org/10.1051/epjconf/202023708002
Aerosol - Cloud Target Classification in HALO Lidar/Radar Collocated Measurements
1 Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Physik der Atmosphäre, Oberpfaffenhofen 82234, Germany.
2 Laboratoire Atmosphères, Milieux, Observations Spatiales, Guyancourt, France
* Email: Eleni.Marinou@dlr.de
Published online: 7 July 2020
Particle attenuated backscatter and depolarization ratio at 532 nm from the WALES (Water Vapor Lidar Experiment in Space) instrument are used in combination with the radar reflectivity from the 35 GHz MIRA35 cloud radar in order to perform an aerosol-cloud target classification on the lidar/radar collocated observations carried out with the High Altitude and LOng-range research aircraft (HALO), in high temporal and spatial resolution.
The methodology is applied to the measurements conducted during the North Atlantic Waveguide and Downstream Impact Experiment (NAWDEX) in fall 2016. Here, we present one case study to show the feasibility and information context of the aerosol-cloud discrimination, which can serve as a good complement to the Cloud target categorization applied already in the measurements. Our results demonstrate that the developed mask is capable to identify complex stratifications with different aerosol and cloud types and even aerosol layers of low signal.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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