| Issue |
EPJ Web of Conferences
Volume 119, 2016
The 27th International Laser Radar Conference (ILRC 27)
|
|
|---|---|---|
| Article Number | 23021 | |
| Number of page(s) | 4 | |
| Section | Poster Session (Aerosol Observations and Retrievals II) | |
| DOI | https://doi.org/10.1051/epjconf/201611923021 | |
| Published online | 07 June 2016 | |
https://doi.org/10.1051/epjconf/201611923021
Application of the Garrlic Algorithm for the Characterization of Dust and Marine Particles Utilizing the Lidar-Sunphotometer Synergy
1 IAASARS, National Observatory of Athens, Athens, Greece
2 Laboratoire d’ Optique Atmosphérique, Universite de Lille, Lille, France
3 Leibniz Institute for Tropospheric Research, Leipzig, Germany
4 European Space Agency, Netherlands
* Email: atsekeri@noa.gr
Published online: 7 June 2016
The importance of studying the vertical distribution of aerosol plumes is prominent in regional and climate studies. The new Generalized Aerosol Retrieval from Radiometer and Lidar Combined data algorithm (GARRLiC) provides this opportunity combining active and passive ground-based remote sensing from lidar and sunphotometer measurements. Here, we utilize GARRLiC capabilities for the characterization of Saharan dust and marine particles at the Eastern Mediterranean region during the Characterization of Aerosol mixtures of Dust And Marine origin Experiment (CHARADMExp). Two different case studies are presented, a dust-dominated case which we managed to characterize successfully in terms of the particle microphysical properties and their vertical distribution and a case of two separate layers of marine and dust particles for which the characterization proved to be more challenging.
© Owned by the authors, published by EDP Sciences, 2016
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.