Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
Articles | Volume 11, issue 12
Articles | Volume 11, issue 12
Atmos. Meas. Tech., 11, 6525–6538, 2018
https://doi.org/10.5194/amt-11-6525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 6525–6538, 2018
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 et al.

Viewed

Total article views: 1,546 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,067 454 25 1,546 141 39 45
  • HTML: 1,067
  • PDF: 454
  • XML: 25
  • Total: 1,546
  • Supplement: 141
  • BibTeX: 39
  • EndNote: 45
Views and downloads (calculated since 20 Aug 2018)
Cumulative views and downloads (calculated since 20 Aug 2018)

Viewed (geographical distribution)

Total article views: 1,410 (including HTML, PDF, and XML) Thereof 1,404 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 15 May 2022
Download
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.
Read more