High-resolution modeling of the spatiotemporal variations in aerosol extinction in a complex coastal area

Alix Limoges; Christophe Yohia; Quentin Rodier; Alexander M. J. van Eijk; Jacques Piazzola

doi:10.1117/12.2680558

19 October 2023 High-resolution modeling of the spatiotemporal variations in aerosol extinction in a complex coastal area

Alix Limoges, Christophe Yohia, Quentin Rodier, Alexander M. J. van Eijk, Jacques Piazzola

Author Affiliations +

Proceedings Volume 12731, Environmental Effects on Light Propagation and Adaptive Systems VI; 127310C (2023) https://doi.org/10.1117/12.2680558
Event: SPIE Remote Sensing, 2023, Amsterdam, Netherlands

Abstract

Aerosols in the atmosphere scatter and absorb radiation, which reduces the transmission of electro-optical radiation through the atmosphere and impacts on the radiative balance of the planet. To accurately predict the performance of electro-optical systems for naval applications, fine-scale modeling of the atmospheric dynamics of aerosols in the coastal zone is crucial. To this end, the MIO laboratory has coupled the numerical meteorological model MESO-NH in its LES version to the particle extinction model MEDEX (Mediterranean Extinction Model MEDEX, Piazzola et al., 2003). The numerical aerosol concentrations in the Mediterranean coastal zone were compared to experimental data acquired in May 2008 on board a research vessel and on the island of Porquerolles. This provided insight in our capability to model the fine-scale spatiotemporal variation of aerosol and visibility for a coastal area of complex geography.

Conference Presentation

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Alix Limoges, Christophe Yohia, Quentin Rodier, Alexander M. J. van Eijk, and Jacques Piazzola "High-resolution modeling of the spatiotemporal variations in aerosol extinction in a complex coastal area", Proc. SPIE 12731, Environmental Effects on Light Propagation and Adaptive Systems VI, 127310C (19 October 2023); https://doi.org/10.1117/12.2680558

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