Articles | Volume 10, issue 12
https://doi.org/10.5194/amt-10-4995-2017
https://doi.org/10.5194/amt-10-4995-2017
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, Anton Lopatin, Vassilis Amiridis, Eleni Marinou, Julia Igloffstein, Nikolaos Siomos, Stavros Solomos, Panagiotis Kokkalis, Ronny Engelmann, Holger Baars, Myrto Gratsea, Panagiotis I. Raptis, Ioannis Binietoglou, Nikolaos Mihalopoulos, Nikolaos Kalivitis, Giorgos Kouvarakis, Nikolaos Bartsotas, George Kallos, Sara Basart, Dirk Schuettemeyer, Ulla Wandinger, Albert Ansmann, Anatoli P. Chaikovsky, and Oleg Dubovik

Data sets

Data for publication on GARRLiC and LIRIC [Data set], Zenodo A. Tsekeri https://doi.org/10.5281/zenodo.1115599

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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.