Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-3673-2019
https://doi.org/10.5194/amt-12-3673-2019
Research article
 | 
08 Jul 2019
Research article |  | 08 Jul 2019

The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and evaluation

Sieglinde Callewaert, Sophie Vandenbussche, Nicolas Kumps, Arve Kylling, Xiaoxia Shang, Mika Komppula, Philippe Goloub, and Martine De Mazière

Viewed

Total article views: 2,824 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,963 804 57 2,824 59 58
  • HTML: 1,963
  • PDF: 804
  • XML: 57
  • Total: 2,824
  • BibTeX: 59
  • EndNote: 58
Views and downloads (calculated since 05 Mar 2019)
Cumulative views and downloads (calculated since 05 Mar 2019)

Viewed (geographical distribution)

Total article views: 2,824 (including HTML, PDF, and XML) Thereof 2,552 with geography defined and 272 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Apr 2024
Download
Short summary
This article presents the updated MAPIR algorithm, which uses infrared satellite data to obtain the global 3-D distribution of mineral aerosols. A description of the method together with its technical improvements is given. Additionally, a 10-year data set was generated and used to evaluate this new algorithm against AERONET, CALIOP, CATS and two ground-based lidar stations. We have shown that the new MAPIR algorithm provides reliable aerosol optical depth and dust layer mean altitude profiles.