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Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union

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https://doi.org/10.5194/amt-2017-214
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Research article
17 Jul 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).
GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures
Alexandra Tsekeri1, Anton Lopatin2, Vassilis Amiridis1, Eleni Marinou1,3, Julia Igloffstein4, Nikolaos Siomos3, Stavros Solomos1, Panagiotis Kokkalis1, Ronny Engelmann4, Holger Baars4, Myrto Gratsea5, Panagiotis I. Raptis5,6, Ioannis Binietoglou7, Nikolaos Mihalopoulos5,8, Nikolaos Kalivitis1,8, Giorgos Kouvarakis8, Nikolaos Bartsotas9, George Kallos9, Sara Basart10, Dirk Schuettemeyer11, Ulla Wandinger4, Albert Ansmann4, Anatoli P. Chaikovsky12, and Oleg Dubovik2 1Institute for Astronomy, Astrophysics, Space Applications and Remote Sensing, National Observatory of Athens, Athens, Greece
2Laboratoire d’ Optique Atmosphérique, Universite de Lille, Lille, France
3Laboratory of atmospheric physics, Physics Department, Aristotle University of Thessaloniki, Greece
4Leibniz Institute for Tropospheric Research, Leipzig, Germany
5ERSD, National Observatory of Athens, Athens, Greece
6Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center (PMOD/WRC), Davos Dorf, Switzerland
7National Institute of R&D for Optoelectronics, Magurele, Ilfov, Romania
8Environmental Chemical Processes Laboratory, University of Crete, Heraklion, Greece
9University of Athens, School of Physics, Athens, Greece
10Barcelona Supercomputing Center, Barcelona, Spain
11European Space Agency
12Institute of Physics, NAS of Belarus, Minsk, Belarus
Abstract. 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 during the CHARacterization of Aerosol mixtures of Dust and Marine origin Experiment (CHARADMExp). Three case studies are presented, focusing on dust-dominated, marine-dominated and dust/marine mixing conditions. GARRLiC and LIRIC achieve a satisfactory characterization for the first case in terms of particle microphysical properties and concentration profiles. Τhe marine-dominated and the mixture cases are more challenging for both algorithms, although GARRLiC manages to provide more detailed microphysical retrievals compared to AERONET, while LIRIC effectively discriminates dust and marine in its concentration profile retrievals.

Citation: Tsekeri, A., Lopatin, A., Amiridis, V., Marinou, E., Igloffstein, J., Siomos, N., Solomos, S., Kokkalis, P., Engelmann, R., Baars, H., Gratsea, M., Raptis, P. I., Binietoglou, I., Mihalopoulos, N., Kalivitis, N., Kouvarakis, G., Bartsotas, N., Kallos, G., Basart, S., Schuettemeyer, D., Wandinger, U., Ansmann, A., Chaikovsky, A. P., and Dubovik, O.: GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures, Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-214, in review, 2017.
Alexandra Tsekeri et al.
Alexandra Tsekeri et al.
Alexandra Tsekeri et al.

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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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