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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Sieglinde Callewaert on behalf of the Authors (28 May 2019)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (29 May 2019) by Andrew Sayer
RR by Anonymous Referee #2 (20 Jun 2019)
ED: Publish as is (20 Jun 2019) by Andrew Sayer
AR by Sieglinde Callewaert on behalf of the Authors (21 Jun 2019)  Author's response   Manuscript 
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.