Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 20, issue 23
Articles | Volume 20, issue 23
https://doi.org/10.5194/acp-20-15401-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-15401-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 20, issue 23
Research article
 | 
11 Dec 2020
Research article |  | 11 Dec 2020

Constraining the relationships between aerosol height, aerosol optical depth and total column trace gas measurements using remote sensing and models

Shuo Wang, Jason Blake Cohen, Chuyong Lin, and Weizhi Deng

Viewed

Total article views: 3,250 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,365 818 67 3,250 331 80 119
  • HTML: 2,365
  • PDF: 818
  • XML: 67
  • Total: 3,250
  • Supplement: 331
  • BibTeX: 80
  • EndNote: 119
Views and downloads (calculated since 12 Feb 2020)
Cumulative views and downloads (calculated since 12 Feb 2020)

Viewed (geographical distribution)

Total article views: 3,250 (including HTML, PDF, and XML) Thereof 3,250 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 08 Nov 2025
Download
Short summary
We analyze global measurements of aerosol height from fires. A plume rise model reproduces measurements with a low bias in five regions, while a statistical model based on satellite measurements of trace gasses co-emitted from the fires reproduces measurements without bias in eight regions. We propose that the magnitude of the pollutants emitted may impact their height and subsequent downwind transport. Using satellite data allows better modeling of the global aerosol distribution.
Read more
Share
Altmetrics
Final-revised paper
Preprint