Preprints
https://doi.org/10.5194/acp-2021-1017
https://doi.org/10.5194/acp-2021-1017

  08 Dec 2021

08 Dec 2021

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

Fluorescence lidar observations of wildfire smoke inside cirrus: A contribution to smoke-cirrus – interaction research

Igor Veselovskii1, Qiaoyun Hu2, Albert Ansmann3, Philippe Goloub2, Thierry Podvin2, and Mikhail Korenskiy1 Igor Veselovskii et al.
  • 1Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
  • 2Univ. Lille, CNRS, UMR 8518 - LOA - Laboratoire d’Optique Atmosphérique, Lille, 59000, France
  • 3Leibniz Institute for Tropospheric Research, Leipzig, Germany

Abstract. A remote sensing method, based on fluorescence lidar measurements, that allows to detect and to quantify the smoke content in upper troposphere and lower stratosphere (UTLS) is presented. The unique point of this approach is that, smoke and cirrus properties are observed in the same air volume simultaneously. In the article, we provide results of fluorescence and multiwavelength Mie-Raman lidar measurements performed at ATOLL observatory from Laboratoire d’Optique Atmosphérique, University of Lille, during strong smoke episodes in the summer and autumn seasons of 2020. The aerosol fluorescence was induced by 355 nm laser radiation and the fluorescence backscattering was measured in a single spectral channel, centered at 466 nm of 44 nm width. To estimate smoke properties, such as number, surface area and volume concentration, the conversion factors, which link the fluorescence backscattering and the smoke microphysical properties, are derived from the synergy of multiwavelength Mie-Raman and fluorescence lidar observations. Based on two case studies, we demonstrate that the fluorescence lidar technique provides possibility to estimate the smoke surface area concentration within freshly formed cirrus layers. This value was used in smoke INP parameterization scheme to predict ice crystal number concentrations in cirrus generation cells.

Igor Veselovskii et al.

Status: open (until 19 Jan 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-1017', Anonymous Referee #1, 15 Dec 2021 reply
  • RC2: 'Comment on acp-2021-1017', Anonymous Referee #2, 21 Dec 2021 reply

Igor Veselovskii et al.

Igor Veselovskii et al.

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Short summary
A remote sensing method, based on fluorescence lidar measurements allows to detect and to quantify the smoke content in upper troposphere and inside cirrus clouds. Based on two case studies, we demonstrate that the fluorescence lidar technique provides possibility to estimate the smoke surface area concentration within freshly formed cirrus layers. This value was used in smoke INP parameterization scheme to predict ice crystal number concentrations in cirrus generation cells.
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