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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

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
AR by Alexandra Tsekeri on behalf of the Authors (10 Oct 2017)
Download
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.