Articles | Volume 16, issue 16
Model description paper
25 Aug 2023
Model description paper |  | 25 Aug 2023

Plume detection and emission estimate for biomass burning plumes from TROPOMI carbon monoxide observations using APE v1.1

Manu Goudar, Juliëtte C. S. Anema, Rajesh Kumar, Tobias Borsdorff, and Jochen Landgraf


Total article views: 1,468 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,040 392 36 1,468 41 42
  • HTML: 1,040
  • PDF: 392
  • XML: 36
  • Total: 1,468
  • BibTeX: 41
  • EndNote: 42
Views and downloads (calculated since 06 Dec 2022)
Cumulative views and downloads (calculated since 06 Dec 2022)

Viewed (geographical distribution)

Total article views: 1,468 (including HTML, PDF, and XML) Thereof 1,393 with geography defined and 75 with unknown origin.
Country # Views %
  • 1
Latest update: 23 Jun 2024
Short summary
A framework was developed to automatically detect plumes and compute emission estimates with cross-sectional flux method (CFM) for biomass burning events in TROPOMI CO datasets using Visible Infrared Imaging Radiometer Suite active fire data. The emissions were more reliable when changing plume height in downwind direction was used instead of constant injection height. The CFM had uncertainty even when the meteorological conditions were accurate; thus there is a need for better inversion models.