- 1GRASP SAS, Lille, France (yuheng.zhang@grasp-earth.com)
- 2Laboratoire Interuniversitaire des Systèmes Atmosphériques, UMR CNRS 7583, Université Paris Est Créteil, Université Paris Diderot, Créteil, France
- 3Laboratoire d'Optique Atmosphérique, UMR 8518, Villeneuve-d'Ascq, 59650, France
This study explores the synergetic combined retrieval of remote sensing measurements in the solar and thermal infrared (TIR) spectral ranges from ground based and satellite sensors to provide a simultaneous gas-aerosol retrieval and an extended characterization of dust mineralogical composition. The Generalized Retrieval of Atmosphere and Surface Properties (GRASP) (Dubovik et al., 2021) is employed to jointly retrieve basic aerosol properties and selected dust mineralogical indicators—specifically the quartz–clay contrast and iron oxide fraction—together with representative trace gases, including ozone and water vapor. The new approach exploits complementary satellite and ground-based measurements, using IASI (Infrared Atmospheric Sounding Interferometer) (Cuesta et al., 2015) for TIR and 3MI (Fougnie et al., 2018) for solar spectral band, together with ground-based data from CLIMAT TIR radiometer (Brogniez et al., 2003) and CIMEL sunphotometer. Synthetic retrieval tests are conducted for both TIR–solar measurement combinations, using data from ground-based and spaceborne observations. The synthetic analysis shows good consistency under realistic noise and uncertainty conditions, demonstrating the robustness of the proposed scheme. This integrated approach shows strong potential to improve synergistic dust–gas retrievals in the TIR by reducing the required retrieval a priori and improving the accuracy of the retrieved products.
References
Brogniez, G., Pietras, C., Legrand, M., Dubuisson, P., & Haeffelin, M. (2003). A high-accuracy multiwavelength radiometer for in situ measurements in the thermal infrared. Part II: Behavior in field experiments. Journal of Atmospheric and Oceanic Technology, 20(7), 1023-1033. https://doi.org/10.1175/1520-0426(2003)20<1023:AHMRFI>2.0.CO;2
Cuesta, J., Eremenko, M., Flamant, C., Dufour, G., Laurent, B., Bergametti, G., ... & Zhou, D. (2015). Three‐dimensional distribution of a major desert dust outbreak over East Asia in March 2008 derived from IASI satellite observations. Journal of Geophysical Research: Atmospheres, 120(14), 7099-7127. https://doi.org/10.1002/2014JD022406
Dubovik, O., Fuertes, D., Litvinov, P., Lopatin, A., Lapyonok, T., Doubovik, I., ... & Federspiel, C. (2021). A comprehensive description of multi-term LSM for applying multiple a priori constraints in problems of atmospheric remote sensing: GRASP algorithm, concept, and applications. Frontiers in Remote Sensing, 2, 706851. https://doi.org/10.3389/frsen.2021.706851, 2021
Fougnie, B., Marbach, T., Lacan, A., Lang, R., Schlüssel, P., Poli, G., ... & Couto, A. B. (2018). The multi-viewing multi-channel multi-polarisation imager–Overview of the 3MI polarimetric mission for aerosol and cloud characterization. Journal of Quantitative Spectroscopy and Radiative Transfer, 219, 23-32. https://doi.org/10.1016/j.jqsrt.2018.07.008
How to cite: Zhang, Y., Herreras-Giralda, M., Cuesta, J., Eremenko, M., Gomes, C., Lin, W., Momoi, M., Gomez, A., and Dubovik, O.: Simultaneous Retrieval of Dust Mineralogy and Trace Gases from the Synergetic Observations in Solar and Thermal Infrared Spectral Bands using GRASP Algorithm, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-10594, https://doi.org/10.5194/egusphere-egu26-10594, 2026.