Articles | Volume 26, issue 19
https://doi.org/10.5194/acp-26-14487-2026
https://doi.org/10.5194/acp-26-14487-2026
Research article
 | 
13 Oct 2026
Research article |  | 13 Oct 2026

Asymptotic behavior of lidar scattering properties of absorbing dust aerosols across Rayleigh and geometrical-optics regimes: theory and implications

Anthony La Luna, Zhibo Zhang, Qianqian Song, Hongbin Yu, John E. Yorks, and Ping Yang

Data sets

Data for Asymptotic Behavior of Lidar Scattering Properties of Absorbing Dust Aerosols Across Rayleigh and Geometrical-Optics Regimes: Theory and Implications A. La Luna et al. https://doi.org/10.5281/zenodo.19011869

TAMUdust2020 Database M. Saito https://doi.org/10.5281/zenodo.4711247

Single-scattering properties of tri-axial ellipsoidal mineral dust aerosols: A database for application to radiative transfer calculations Z. Meng et al. https://doi.org/10.1016/j.jaerosci.2010.02.008

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Short summary
Mineral dust blown from deserts affects air quality and climate worldwide. Scientists use laser instruments on satellites to detect and measure dust. We discovered that very large, iron-rich dust particles produce signals that fool these instruments into misidentifying them as pollution or smoke. Using light scattering theory, we showed this confusion follows universal physical laws regardless of dust shape – helping scientists better interpret next-generation satellite measurements.
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