Articles | Volume 19, issue 14
https://doi.org/10.5194/amt-19-4889-2026
https://doi.org/10.5194/amt-19-4889-2026
Research article
 | 
29 Jul 2026
Research article |  | 29 Jul 2026

The mineral aerosol profiling from infrared radiances version 5.1 algorithm and its evaluation

Sophie Vandenbussche, Christodoulos Biskas, Maria-Elissavet Koukouli, Stelios Kazadzis, and Martine De Mazière

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Cited articles

Adebiyi, A., Kok, J. F., Murray, B. J., Ryder, C. L., Stuut, J.-B. W., Kahn, R. A., Knippertz, P., Formenti, P., Mahowald, N. M., Pérez García-Pando, C., Klose, M., Ansmann, A., Samset, B. H., Ito, A., Balkanski, Y., Di Biagio, C., Romanias, M. N., Huang, Y., and Meng, J.: A review of coarse mineral dust in the Earth system, Aeolian Res., 60, 100849, https://doi.org/10.1016/j.aeolia.2022.100849, 2023. a
Amiridis, V., Wandinger, U., Marinou, E., Giannakaki, E., Tsekeri, A., Basart, S., Kazadzis, S., Gkikas, A., Taylor, M., Baldasano, J., and Ansmann, A.: Optimizing CALIPSO Saharan dust retrievals, Atmos. Chem. Phys., 13, 12089–12106, https://doi.org/10.5194/acp-13-12089-2013, 2013. a
Amiridis, V., Marinou, E., Tsekeri, A., Wandinger, U., Schwarz, A., Giannakaki, E., Mamouri, R., Kokkalis, P., Binietoglou, I., Solomos, S., Herekakis, T., Kazadzis, S., Gerasopoulos, E., Proestakis, E., Kottas, M., Balis, D., Papayannis, A., Kontoes, C., Kourtidis, K., Papagiannopoulos, N., Mona, L., Pappalardo, G., Le Rille, O., and Ansmann, A.: LIVAS: a 3-D multi-wavelength aerosol/cloud database based on CALIPSO and EARLINET, Atmos. Chem. Phys., 15, 7127–7153, https://doi.org/10.5194/acp-15-7127-2015, 2015. a
Bernard, E., Moulin, C., Ramon, D., Jolivet, D., Riedi, J., and Nicolas, J.-M.: Description and validation of an AOT product over land at the 0.6 µm channel of the SEVIRI sensor onboard MSG, Atmos. Meas. Tech., 4, 2543–2565, https://doi.org/10.5194/amt-4-2543-2011, 2011. a
Biskas, C., Michailidis, K., Koukouli, M.-E., Voudouri, K.-A., Peletidou, G., Vandenbussche, S., and Balis, D.: Evaluation of IASI MAPIR v5.1 Dust Concentration Profiles using ACTRIS/EARLINET Lidar data, in preparation, 2026. a
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Short summary
Mineral dust aerosols are tiny particles uplifted by winds from deserts, which may be transported for long distances. They are climate forcers and affect human health and socio-economic sectors, making near-real-time and long-term monitoring essential. Here, we use satellite observations to retrieve global 3D distributions of dust aerosols. We present an updated and improved algorithm and its long-term consistent data since late 2007, with high potential for climate analyses and alert systems.
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