Preprints
https://doi.org/10.5194/egusphere-2024-84
https://doi.org/10.5194/egusphere-2024-84
15 Jan 2024
 | 15 Jan 2024

Innovative aerosol hygroscopic growth study from Mie-Raman-Fluorescence lidar and Microwave Radiometer synergy

Robin Miri, Olivier Pujol, Qiaoyun Hu, Philippe Goloub, Igor Veselovskii, Thierry Podvin, and Fabrice Ducos

Abstract. This study focuses on the characterization of aerosol hygroscopicity using remote sensing techniques. We employ a Mie-Raman-Fluorescence lidar (LILAS), developed at the ATOLL platform, Laboratoire d’Optique Atmosphérique, Lille, France, in combination with the RPG-HATPRO G5 microwave radiometer to enable continuous aerosol and water vapor monitoring. We identify hygroscopic growth cases when an aerosol layer exhibits an increase in both aerosol backscattering coefficient and relative humidity. By examining the aerosol layer type, determined through a clustering method, the fluorescence backscattering coefficient, which remains unaffected by the presence of water vapor, and the absolute humidity, we verify the homogeneity of the aerosol layer. Consequently, the change in the backscattering coefficient is solely attributed to water uptake. The Hänel theory is employed to describe the evolution of the backscattering coefficient with relative humidity and introduces a hygroscopic coefficient, γ, which depends on the aerosol type. Case studies conducted on July 29 and March 9, 2021 examine respectively an urban and a smoke aerosol layer. For the urban case, γ is estimated as 0.47±0.03 at 532 nm; as for the smoke case, the estimation of γ is 0.5±0.3. These values align with those reported in the literature for urban and smoke particles. Our findings highlight the efficiency of the Mie-Raman-Fluorescence lidar and Microwave radiometer synergy in characterizing aerosol hygroscopicity. The results contribute to advance our understanding of atmospheric processes, aerosol-cloud interactions, and climate modeling.

Robin Miri, Olivier Pujol, Qiaoyun Hu, Philippe Goloub, Igor Veselovskii, Thierry Podvin, and Fabrice Ducos

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-84', Anonymous Referee #1, 19 Feb 2024
  • RC2: 'Comment on egusphere-2024-84', Anonymous Referee #2, 19 Feb 2024
Robin Miri, Olivier Pujol, Qiaoyun Hu, Philippe Goloub, Igor Veselovskii, Thierry Podvin, and Fabrice Ducos
Robin Miri, Olivier Pujol, Qiaoyun Hu, Philippe Goloub, Igor Veselovskii, Thierry Podvin, and Fabrice Ducos

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Short summary
This paper focuses on the use of fluorescence to study aerosols with lidar. An innovative method for automatic aerosol classification, along with an investigation into aerosol hygroscopic growth fluorescence are presented. The paper presents case studies to showcase the effectiveness and potential of the proposed approach. These advancements will contribute to better understand the interactions between aerosols and water, with future work expected to be dedicated to aerosol-cloud interaction.