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

Journal metrics

Journal metrics

  • IF value: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year 3.650
  • CiteScore value: 3.37 CiteScore 3.37
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H index value: 60 Scimago H index 60
Volume 9, issue 7
Atmos. Meas. Tech., 9, 3391-3405, 2016
https://doi.org/10.5194/amt-9-3391-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Atmos. Meas. Tech., 9, 3391-3405, 2016
https://doi.org/10.5194/amt-9-3391-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 28 Jul 2016

Research article | 28 Jul 2016

Comparison of aerosol properties retrieved using GARRLiC, LIRIC, and Raman algorithms applied to multi-wavelength lidar and sun/sky-photometer data

Valentyn Bovchaliuk1, Philippe Goloub1, Thierry Podvin1, Igor Veselovskii2, Didier Tanre1, Anatoli Chaikovsky3, Oleg Dubovik1, Augustin Mortier4, Anton Lopatin1, Mikhail Korenskiy2, and Stephane Victori5 Valentyn Bovchaliuk et al.
  • 1Laboratoire d'Optique Atmospherique, Lille1 University, Villeneuve d'Ascq, France
  • 2Physics Instrumentation Center of the General Physics Institute, Troitsk, Moscow Region, Russia
  • 3Institute of Physics, NAS of Belarus, Minsk, Belarus
  • 4Norwegian Meteorological Institute, Oslo, Norway
  • 5Cimel advanced monitoring, Paris, France

Abstract. Aerosol particles are important and highly variable components of the terrestrial atmosphere, and they affect both air quality and climate. In order to evaluate their multiple impacts, the most important requirement is to precisely measure their characteristics. Remote sensing technologies such as lidar (light detection and ranging) and sun/sky photometers are powerful tools for determining aerosol optical and microphysical properties. In our work, we applied several methods to joint or separate lidar and sun/sky-photometer data to retrieve aerosol properties. The Raman technique and inversion with regularization use only lidar data. The LIRIC (LIdar-Radiometer Inversion Code) and recently developed GARRLiC (Generalized Aerosol Retrieval from Radiometer and Lidar Combined data) inversion methods use joint lidar and sun/sky-photometer data. This paper presents a comparison and discussion of aerosol optical properties (extinction coefficient profiles and lidar ratios) and microphysical properties (volume concentrations, complex refractive index values, and effective radius values) retrieved using the aforementioned methods. The comparison showed inconsistencies in the retrieved lidar ratios. However, other aerosol properties were found to be generally in close agreement with the AERONET (AErosol RObotic NETwork) products. In future studies, more cases should be analysed in order to clearly define the peculiarities in our results.

Publications Copernicus
Download
Citation
Share