19 May 2021

19 May 2021

Review status: this preprint is currently under review for the journal AMT.

Canadian biomass burning aerosols observations from a multi-wavelength Raman polarization lidar and a ceilometer in Finland

Xiaoxia Shang1, Tero Mielonen1, Antti Lipponen1, Elina Giannakaki1,2, Ari Leskinen1,3, Virginie Buchard4,5, Anton S. Darmenov4, Antti Kukkurainen1,3, Antti Arola1, Ewan O'Connor6, Anne Hirsikko6, and Mika Komppula1 Xiaoxia Shang et al.
  • 1Finnish Meteorological Institute, Kuopio, Finland
  • 2Department of Environmental Physics and Meteorology, University of Athens, Athens, Greece
  • 3Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
  • 4NASA/Goddard Space Flight Center, Greenbelt, MD, USA
  • 5GESTAR/Universities Space Research Association, Columbia, MD, USA
  • 6Finnish Meteorological Institute, Helsinki, Finland

Abstract. Layers of biomass burning aerosol particles were observed in the lower troposphere, at 2 to 5 km height on 4 to 6 June 2019, over Kuopio, Finland. These long-range-transported smoke particles originated from a Canadian wildfire event. The most pronounced smoke plume detected on 5 June was intensively investigated. Optical properties were retrieved from the multi-wavelength Raman polarization lidar PollyXT. Particle linear depolarization ratios of this plume were measured to be 0.08 ± 0.02 at 355 nm and 0.05 ± 0.01 at 532 nm which were slightly higher than the values given in the literature. Non-spherical shaped aged smoke particles and/or the mixing with a small amount of fine dust particles could cause the observed increase in the particle linear depolarization ratios. Lidar ratios were derived as 47 ± 5 sr at 355 nm and 71 ± 5 sr at 532 nm. A complete ceilometer data processing for a Vaisala CL51 is presented, including the water vapor correction for high latitude for the first time, from sensor provided attenuated backscatter coefficient to particle mass concentration. A combined lidar and sun-photometer approach (based on AERONET products) is applied for mass concentration estimations. Mass concentrations were estimated from both PollyXT and the ceilometer CL51 observations, which were of the order of ~ 30 µg m−3 in the morning and decreased to ~ 20 µg m−3 in the night. A difference of ~ 30% was found between PollyXT and CL51 estimated mass concentrations. The mass retrievals were discussed and compared with the Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA-2) meteorological and aerosol reanalysis. The inclusion of dust in the retrieved mass concentration slightly improved the correspondence between the observations and the MERRA-2 simulations.

Xiaoxia Shang et al.

Status: open (until 14 Jul 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-139', Anonymous Referee #1, 03 Jun 2021 reply
  • RC2: 'Comment on amt-2021-139', Anonymous Referee #2, 04 Jun 2021 reply

Xiaoxia Shang et al.

Data sets

Real-time ceilometer data FMI

Raman and polarization lidar network PollyNET

Xiaoxia Shang et al.


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Short summary
The long-range-transported smoke particles from a Canadian wildfire event were observed with a multi-wavelength Raman polarization lidar and a ceilometer, over Kuopio, Finland, in June 2019. The optical properties and the mass concentration estimations were reported for such aged smoke aerosols over Northern Europe.