Articles | Volume 12, issue 7
https://doi.org/10.5194/amt-12-3673-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-3673-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jul 2019
Research article |
| 08 Jul 2019
| 08 Jul 2019
The Mineral Aerosol Profiling from Infrared Radiances (MAPIR) algorithm: version 4.1 description and evaluation
Sieglinde Callewaert
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Sophie Vandenbussche
CORRESPONDING AUTHOR
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Nicolas Kumps
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
Arve Kylling
Norwegian Institute for Air Research (NILU), P. O. Box 100, 2027 Kjeller, Norway
Xiaoxia Shang
Finnish Meteorological Institute (FMI), P.O. Box 1627, 70211, Kuopio, Finland
Mika Komppula
Finnish Meteorological Institute (FMI), P.O. Box 1627, 70211, Kuopio, Finland
Philippe Goloub
Laboratoire d’Optique Amosphérique (LOA), Université des Sciences et Technologies de Lille, Villeneuve d’Ascq, France
Martine De Mazière
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Avenue Circulaire 3, 1180 Brussels, Belgium
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Cited
17 citations as recorded by crossref.
- Contribution of IASI to the Observation of Dust Aerosol Emissions (Morning and Nighttime) Over the Sahara Desert A. Chédin et al. https://doi.org/10.1029/2019JD032014
- North African mineral dust sources: new insights from a combined analysis based on 3D dust aerosol distributions, surface winds and ancillary soil parameters S. Vandenbussche et al. https://doi.org/10.5194/acp-20-15127-2020
- Examining Asian dust refractive indices for brightness temperature simulations in the 650–1135 cm−1 spectral range L. Bi et al. https://doi.org/10.1016/j.jqsrt.2020.106945
- Aerosol composition retrieval from a combination of three different spaceborne instruments: information content analysis U. Stöffelmair et al. https://doi.org/10.5194/amt-18-2005-2025
- Evaluation of the dust-dominated total AOD extracted from the PMAp satellite Climate Data Record A. Sundström et al. https://doi.org/10.5194/amt-18-7267-2025
- Analysis of a saline dust storm from the Aralkum Desert – Part 1: Consistency between multisensor satellite aerosol products X. Xi et al. https://doi.org/10.5194/acp-25-7403-2025
- Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations D. O'Sullivan et al. https://doi.org/10.5194/acp-20-12955-2020
- Multi-sectoral impact assessment of an extreme African dust episode in the Eastern Mediterranean in March 2018 A. Monteiro et al. https://doi.org/10.1016/j.scitotenv.2022.156861
- Three‐dimensional pathways of dust over the Sahara during summer 2011 as revealed by new Infrared Atmospheric Sounding Interferometer observations J. Cuesta et al. https://doi.org/10.1002/qj.3814
- Measurement Report: Determination of aerosol vertical features on different timescales over East Asia based on CATS aerosol products Y. Cheng et al. https://doi.org/10.5194/acp-20-15307-2020
- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. https://doi.org/10.1016/j.rse.2024.114315
- The mineral aerosol profiling from infrared radiances version 5.1 algorithm and its evaluation S. Vandenbussche et al. https://doi.org/10.5194/amt-19-4889-2026
- Improvement of Dust Retrieval Algorithm Using GK-2 A Geo Satellite Thermal Infrared Channels by Establishing Observation-based Refractive Index Dataset Tailored for East Asian Dust E. Javid et al. https://doi.org/10.1007/s13143-025-00410-x
- Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. https://doi.org/10.5194/acp-23-5435-2023
- On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. https://doi.org/10.1016/j.rse.2020.111731
- From Aerosol Optical Depth to Risk Assessment: A Novel Framework for Environmental Impact Statistics of Air Quality Using AERONET I. Tanasa et al. https://doi.org/10.3390/environments12080285
- Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment S. Vandenbussche et al. https://doi.org/10.3390/rs14081810
17 citations as recorded by crossref.
- Contribution of IASI to the Observation of Dust Aerosol Emissions (Morning and Nighttime) Over the Sahara Desert A. Chédin et al. https://doi.org/10.1029/2019JD032014
- North African mineral dust sources: new insights from a combined analysis based on 3D dust aerosol distributions, surface winds and ancillary soil parameters S. Vandenbussche et al. https://doi.org/10.5194/acp-20-15127-2020
- Examining Asian dust refractive indices for brightness temperature simulations in the 650–1135 cm−1 spectral range L. Bi et al. https://doi.org/10.1016/j.jqsrt.2020.106945
- Aerosol composition retrieval from a combination of three different spaceborne instruments: information content analysis U. Stöffelmair et al. https://doi.org/10.5194/amt-18-2005-2025
- Evaluation of the dust-dominated total AOD extracted from the PMAp satellite Climate Data Record A. Sundström et al. https://doi.org/10.5194/amt-18-7267-2025
- Analysis of a saline dust storm from the Aralkum Desert – Part 1: Consistency between multisensor satellite aerosol products X. Xi et al. https://doi.org/10.5194/acp-25-7403-2025
- Models transport Saharan dust too low in the atmosphere: a comparison of the MetUM and CAMS forecasts with observations D. O'Sullivan et al. https://doi.org/10.5194/acp-20-12955-2020
- Multi-sectoral impact assessment of an extreme African dust episode in the Eastern Mediterranean in March 2018 A. Monteiro et al. https://doi.org/10.1016/j.scitotenv.2022.156861
- Three‐dimensional pathways of dust over the Sahara during summer 2011 as revealed by new Infrared Atmospheric Sounding Interferometer observations J. Cuesta et al. https://doi.org/10.1002/qj.3814
- Measurement Report: Determination of aerosol vertical features on different timescales over East Asia based on CATS aerosol products Y. Cheng et al. https://doi.org/10.5194/acp-20-15307-2020
- First lunar-light mapping of nighttime dust season oceanic aerosol optical depth over North Atlantic from space M. Zhou et al. https://doi.org/10.1016/j.rse.2024.114315
- The mineral aerosol profiling from infrared radiances version 5.1 algorithm and its evaluation S. Vandenbussche et al. https://doi.org/10.5194/amt-19-4889-2026
- Improvement of Dust Retrieval Algorithm Using GK-2 A Geo Satellite Thermal Infrared Channels by Establishing Observation-based Refractive Index Dataset Tailored for East Asian Dust E. Javid et al. https://doi.org/10.1007/s13143-025-00410-x
- Understanding day–night differences in dust aerosols over the dust belt of North Africa, the Middle East, and Asia J. Tindan et al. https://doi.org/10.5194/acp-23-5435-2023
- On the retrieval of aerosol optical depth over cryosphere using passive remote sensing L. Mei et al. https://doi.org/10.1016/j.rse.2020.111731
- From Aerosol Optical Depth to Risk Assessment: A Novel Framework for Environmental Impact Statistics of Air Quality Using AERONET I. Tanasa et al. https://doi.org/10.3390/environments12080285
- Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment S. Vandenbussche et al. https://doi.org/10.3390/rs14081810
Saved (final revised paper)
Latest update: 04 Aug 2026
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.
This article presents the updated MAPIR algorithm, which uses infrared satellite data to obtain...
