Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 12
Articles | Volume 11, issue 12
https://doi.org/10.5194/amt-11-6525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-6525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 12
Research article
 | 
07 Dec 2018
Research article |  | 07 Dec 2018

Analysis of a warehouse fire smoke plume over Paris with an N2 Raman lidar and an optical thickness matching algorithm

Xiaoxia Shang, Patrick Chazette, and Julien Totems

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Short summary
For the first time, a ground-based N2 Raman lidar sampled smoke plumes originating from a large accidental warehouse fire in the Paris area. We developed a new algorithm, dubbed top-down aerosol optical thickness matching, to characterize the optical properties of the smoke aerosols, without a pre-determined reference zone and in the presence of clouds. The industrial pollution episode was concomitant with the long-range transport of dust aerosols and the presence of an extended stratus cloud.
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