Articles | Volume 11, issue 12
Atmos. Meas. Tech., 11, 6525–6538, 2018
Atmos. Meas. Tech., 11, 6525–6538, 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.


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
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
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.