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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 | Copyright

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 Tsekeri1, Anton Lopatin2, Vassilis Amiridis1, Eleni Marinou1,3, Julia Igloffstein4, Nikolaos Siomos3, Stavros Solomos1, Panagiotis Kokkalis1,5, Ronny Engelmann4, Holger Baars4, Myrto Gratsea6, Panagiotis I. Raptis6,7, Ioannis Binietoglou8, Nikolaos Mihalopoulos6,9, Nikolaos Kalivitis1,9, Giorgos Kouvarakis9, Nikolaos Bartsotas10, George Kallos10, Sara Basart11, Dirk Schuettemeyer12, Ulla Wandinger4, Albert Ansmann4, Anatoli P. Chaikovsky13, and Oleg Dubovik2 Alexandra Tsekeri et al.
  • 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, Thessaloniki, Greece
  • 4Leibniz Institute for Tropospheric Research, Leipzig, Germany
  • 5Physics Department, Faculty of Science, Kuwait University, Kuwait
  • 6IERSD, National Observatory of Athens, Athens, Greece
  • 7Physikalisch-Meteorologisches Observatorium Davos/World Radiation Center (PMOD/WRC), Davos Dorf, Switzerland
  • 8National Institute of R&D for Optoelectronics, Magurele, Ilfov, Romania
  • 9Environmental Chemical Processes Laboratory, University of Crete, Heraklion, Greece
  • 10University of Athens, School of Physics, Athens, Greece
  • 11Barcelona Supercomputing Center, Barcelona, Spain
  • 12European Space Agency, ESTEC, Noordwijk, the Netherlands
  • 13Institute 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 dust-dominated case in terms of particle microphysical properties and concentration profiles. The 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 particles in its concentration profile retrievals. The results are also compared with modelled dust and marine concentration profiles and surface in situ measurements.

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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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