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Journal Articles Atmospheric Measurement Techniques Year : 2017

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

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Anatoli P. Chaikovsky
  • Function : Author
Albert Ansmann
  • Function : Author
Ulla Wandinger
  • Function : Author
Dirk Schuettemeyer
  • Function : Author
Sara Basart
  • Function : Author
George Kallos
  • Function : Author
Nikolaos Bartsotas
  • Function : Author
Giorgos Kouvarakis
  • Function : Author
Nikolaos Kalivitis
  • Function : Author
Nikolaos Mihalopoulos
  • Function : Author
Ioannis Binietoglou
  • Function : Author
Panagiotis I. Raptis
  • Function : Author
Myrto Gratsea
  • Function : Author
Holger Baars
Ronny Engelmann
Panagiotis Kokkalis
  • Function : Author
Stavros Solomos
  • Function : Author
Nikolaos Siomos
  • Function : Author
Julia Igloffstein
  • Function : Author
Eleni Marinou
  • Function : Author
Vassilis Amiridis
  • Function : Author
Alexandra Tsekeri
  • Function : Author

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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Dates and versions

insu-03686234 , version 1 (02-06-2022)

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Attribution - CC BY 4.0

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Oleg Dubovik, Anatoli P. Chaikovsky, Albert Ansmann, Ulla Wandinger, Dirk Schuettemeyer, et al.. GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures. Atmospheric Measurement Techniques, 2017, 10, pp.4995-5016. ⟨10.5194/amt-10-4995-2017⟩. ⟨insu-03686234⟩
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