Articles | Volume 11, issue 12
Atmos. Meas. Tech., 11, 6525–6538, 2018
https://doi.org/10.5194/amt-11-6525-2018
Atmos. Meas. Tech., 11, 6525–6538, 2018
https://doi.org/10.5194/amt-11-6525-2018

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 et al.

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AR by Xiaoxia Shang on behalf of the Authors (14 Nov 2018)  Author's response    Manuscript
ED: Publish as is (27 Nov 2018) by Ulla Wandinger
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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.