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Discussion papers
https://doi.org/10.5194/acp-2019-208
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-208
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 19 Mar 2019

Research article | 19 Mar 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Chemistry and Physics (ACP).

Retrieval of aerosol composition directly from satellite and ground-based measurements

Lei Li1,2, Oleg Dubovik2, Yevgeny Derimian2, Gregory L. Schuster3, Tatyana Lapyonok2, Pavel Litvinov4, Fabrice Ducos2, David Fuertes4, Cheng Chen2, Zhengqiang Li5, Anton Lopatin4, Benjamin Torres2, and Huizheng Che1 Lei Li et al.
  • 1State Key Laboratory of Severe Weather (LASW) and Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, CMA, Beijing, 100081, China
  • 2Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d'Optique Atmosphérique, F-59000 Lille, France
  • 3NASA Langley Research Center, Hampton, VA, USA
  • 4GRASP-SAS, Remote Sensing Developments, Cité Scientifique, Univ. Lille, Villeneuve d'Ascq, 59655, France
  • 5State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

Abstract. This study presents a novel methodology for remote monitoring of aerosol composition over large spatial and temporal domains. The concept is realized within the GRASP (Generalized Retrieval of Aerosol and Surface Properties) algorithm to directly infer aerosol composition from the measured radiances. This approach is different from the conventional methods that use post-processing of the retrieved aerosol optical properties for aerosol typing. The proposed method assumes observed aerosols as mixtures of particles composed of black carbon, brown carbon, absorbing insoluble, non-absorbing insoluble embedded in a soluble host. The algorithm then derives size distribution and the fractions of these components. The complex refractive index of each component is fixed a priori and the complex refractive index of mixture is computed using mixing rules. The approach is first tested with synthetic data and the uncertainties are estimated. Then, it is applied to the real ground-based AERONET and space-borne POLDER/PARASOL observations, known to be sensitive to aerosol complex refractive index. The study presents a first attempt to derive aerosol composition from satellites. The obtained aerosol optical characteristics are highly consistent with the standard products (R of ~ 0.9 for aerosol optical thickness). The approach also presented an ability to separate between aerosol properties in fine and coarse size fractions, in case of POLDER/PARASOL and AERONET. Examples of application to POLDER/PARASOL on the global scale are presented. The obtained spatial and temporal patterns of the aerosol composition agree well with our knowledge on aerosol sources and transport features. Finally, limitations and perspectives are discussed.

Lei Li et al.
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Short summary
A novel methodology to monitor atmospheric aerosol composition by remote sensing is presented. The concept is realized within the GRASP (Generalized Retrieval of Aerosol and Surface Properties) project. Application to POLDER/PARASOL and AERONET observations yielded the spatial and temporal variability of absorbing and non-absorbing insoluble and soluble aerosol species in fine and coarse size fractions. It presents the global scale aerosol composition derived from satellite measurements.
A novel methodology to monitor atmospheric aerosol composition by remote sensing is presented....
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