Articles | Volume 24, issue 21
https://doi.org/10.5194/acp-24-12277-2024
https://doi.org/10.5194/acp-24-12277-2024
Research article
 | 
06 Nov 2024
Research article |  | 06 Nov 2024

The role of refractive indices in measuring mineral dust with high-spectral-resolution infrared satellite sounders: application to the Gobi Desert

Perla Alalam, Fabrice Ducos, and Hervé Herbin

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Cited articles

Alalam, P.: Aerosol study using laboratory and IASI measurements: application to East Asian deserts, Earth Sciences. Université de Lille, English, NNT: 2022ULILR052, https://theses.hal.science/tel-04043142/, 2022. 
Alalam, P., Deschutter, L., Al Choueiry, A., Petitprez, D., and Herbin, H.: Aerosol Mineralogical Study Using Laboratory and IASI Measurements: Application to East Asian Deserts, Remote Sens., 14 3422, https://doi.org/10.3390/RS14143422, 2022. 
An, L., Che, H., Xue, M., Zhang, T., Wang, H., Wang, Y., Zhou, C., Zhao, H., Gui, K., Zheng, Y., Sun, T., Liang, Y., Sun, E., Zhang, H., and Zhang, X.: Temporal and spatial variations in sand and dust storm events in East Asia from 2007 to 2016: Relationships with surface conditions and climate change, Sci. Total Environ., 633, 452–462, https://doi.org/10.1016/J.SCITOTENV.2018.03.068, 2018. 
Atkinson, N. C., Hilton, F. I., Illingworth, S. M., Eyre, J. R., and Hultberg, T.: Potential for the use of reconstructed IASI radiances in the detection of atmospheric trace gases, Atmos. Meas. Tech., 3, 991–1003, https://doi.org/10.5194/amt-3-991-2010, 2010. 
Balkanski, Y., Schulz, M., Claquin, T., and Guibert, S.: Reevaluation of Mineral aerosol radiative forcings suggests a better agreement with satellite and AERONET data, Atmos. Chem. Phys., 7, 81–95, https://doi.org/10.5194/ACP-7-81-2007, 2007. 
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Short summary
This study dives into the impact of mineral dust laboratory complex refractive indices (CRIs) on quantifying the dust microphysical properties using satellite infrared remote sensing. Results show that using CRIs obtained by advanced realistic techniques can improve the accuracy of these measurements, emphasizing the importance of choosing the suitable CRI in atmospheric models. This improvement is crucial for better predicting the dust radiative effect and impact on the climate.
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