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Discussion papers
https://doi.org/10.5194/acp-2019-289
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-2019-289
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 15 Apr 2019

Research article | 15 Apr 2019

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

Towards continuous monitoring of aerosol hygroscopicity by Raman lidar measurements at the EARLINET station of Payerne

Francisco Navas Guzmán1, Giovanni Martucci1, Martine Collaud Coen1, María José Granados Muñoz2, Maxime Hervo1, Michael Sicard2,3, and Alexander Haefele1,4 Francisco Navas Guzmán et al.
  • 1Federal Office of Meteorology and Climatology MeteoSwiss, Payerne, Switzerland
  • 2Remote Sensing Laboratory/CommSensLab, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain
  • 3Ciències i Tecnologies de l'Espai &ndah; Centre de Recerca de l'Aeronàutica i de l'Espai/Institut d'Estudis Espacials deCatalunya (CTE-CRAE/IEEC), Universitat Politècnica de Catalunya, Barcelona, 08034, Spain
  • 4Department of Physics and Astronomy, The University of Western Ontario, London, Canada

Abstract. This study focuses on the analysis of aerosol hygroscopicity using remote sensing technique. Continuous observations of aerosol backscatter coefficient, temperature and water vapour mixing ratio are performed by means of a Raman lidar system at the aerological station of MeteoSwiss at Payerne (Switzerland) since 2008. These measurements allow us to monitor in a continuous way any change of aerosol properties as a function of the relative humidity (RH). These changes can be observed either in time at constant altitude or in altitude at a constant time. The accuracy and precision of RH measurements from the lidar have been evaluated using the radiosonde (RS) technique as reference. A total of 172 RSs were used in this intercomparison which revealed a small bias (< 4 %RH) and standard deviation (< 10 %RH) in the whole troposphere between both techniques indicating the good performance of the lidar for characterizing RH. A methodology to identify aerosol hygroscopic conditions has been established and the aerosol hygroscopicity has been characterized by means of the backscatter enhancement factor (fβ). Two case studies, corresponding to different types of aerosol are used to illustrate the potential of this methodology. The first case corresponds to a mixture of rural aerosol and smoke particles which showed a higher hygroscopicity (fβ355 = 2.8 and fβ1064 = 1.8 in the RH range 73 %–97 %) than the second case, in which mineral dust was present(fβ355 = 1.2 and fβ1064 = 1.1 in the RH range 68 %–84 %). The higher sensitivity of the shortest wavelength to hygroscopic growth is qualitatively reproduced using Mie simulations. In addition, a good agreement was found between the hygroscopic analysis done in the vertical and in time for case I, where the latter also allowed to observe the hydration and dehydration of this type of aerosol. Finally, the impact of aerosol hygroscopicity on the Earth's radiative balance has been evaluated using the GAME (Global Atmospheric Model) radiative transfer model. The model showed a significant impact with an increase in absolute value of 2.4 W/m2 at the surface with respect to the dry conditions for the hygroscopic layer of case I (with presence of smoke).

Francisco Navas Guzmán et al.
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Francisco Navas Guzmán et al.
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Short summary
The present study demonstrates the capability of a Raman lidar to monitor aerosol hygroscopic processes. The results showed a higher hygroscopicity and wavelength dependency for smoke particles than for mineral dust. The higher sensitivity of the shortest wavelength to hygroscopic growth found for smoke particles was qualitatively reproduced using Mie simulations. The impact of aerosol hygroscopicity on the Earth's radiative balance has been evaluated using a radiative transfer model.
The present study demonstrates the capability of a Raman lidar to monitor aerosol hygroscopic...
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