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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 12
Atmos. Meas. Tech., 10, 4995–5016, 2017
https://doi.org/10.5194/amt-10-4995-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: EARLINET, the European Aerosol Research Lidar Network

Atmos. Meas. Tech., 10, 4995–5016, 2017
https://doi.org/10.5194/amt-10-4995-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 20 Dec 2017

Research article | 20 Dec 2017

GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures

Alexandra Tsekeri et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Alexandra Tsekeri on behalf of the Authors (14 Sep 2017)  Author's response    Manuscript
ED: Publish as is (04 Oct 2017) by Richard Ferrare
Publications Copernicus
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Short summary
The Generalized Aerosol Retrieval from Radiometer and Lidar Combined data algorithm (GARRLiC) and the LIdar-Radiometer Inversion Code (LIRIC) provide the opportunity to study the aerosol vertical distribution by combining ground-based lidar and sun-photometric measurements. Here, we utilize the capabilities of both algorithms for the characterization of Saharan dust and marine particles, along with their mixtures, in the south-eastern Mediterranean.
The Generalized Aerosol Retrieval from Radiometer and Lidar Combined data algorithm (GARRLiC)...
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