Articles | Volume 25, issue 20
https://doi.org/10.5194/acp-25-13359-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-25-13359-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Oct 2025
Research article |
| 22 Oct 2025
| 22 Oct 2025
Scattering properties and lidar characteristics of Asian dust particles based on realistic shape models
Anthony La Luna
Physics Department, University of Maryland Baltimore County (UMBC), Baltimore, MD, USA
Goddard Earth Sciences Technology and Research (GESTAR) II, UMBC, Baltimore, MD, USA
Physics Department, University of Maryland Baltimore County (UMBC), Baltimore, MD, USA
Goddard Earth Sciences Technology and Research (GESTAR) II, UMBC, Baltimore, MD, USA
Jianyu Zheng
Goddard Earth Sciences Technology and Research (GESTAR) II, UMBC, Baltimore, MD, USA
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Qianqian Song
Physics Department, University of Maryland Baltimore County (UMBC), Baltimore, MD, USA
Hongbin Yu
NASA Goddard Space Flight Center, Greenbelt, MD, USA
Jiachen Ding
Texas A&M University, College Station, TX, USA
Ping Yang
Texas A&M University, College Station, TX, USA
Masanori Saito
University of Wyoming, Laramie, WY, USA
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Ruth A. R. Digby, Nathan P. Gillett, Adam H. Monahan, Knut von Salzen, Antonis Gkikas, Qianqian Song, and Zhibo Zhang
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Israel Silber, Robert C. Jackson, Ann M. Fridlind, Andrew S. Ackerman, Scott Collis, Johannes Verlinde, and Jiachen Ding
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Justin A. Covert, David B. Mechem, and Zhibo Zhang
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Qianqian Song, Zhibo Zhang, Hongbin Yu, Paul Ginoux, and Jerry Shen
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Anne Garnier, Jacques Pelon, Nicolas Pascal, Mark A. Vaughan, Philippe Dubuisson, Ping Yang, and David L. Mitchell
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Anne Garnier, Jacques Pelon, Nicolas Pascal, Mark A. Vaughan, Philippe Dubuisson, Ping Yang, and David L. Mitchell
Atmos. Meas. Tech., 14, 3277–3299, https://doi.org/10.5194/amt-14-3277-2021, https://doi.org/10.5194/amt-14-3277-2021, 2021
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The IIR Level 2 data products include cloud effective emissivities and cloud microphysical properties such as effective diameter (De) and ice or liquid water path estimates. This paper (Part II) shows retrievals over ocean and describes the improvements made with respect to version 3 as a result of the significant changes implemented in the version 4 algorithms, which are presented in a companion paper (Part I).
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Short summary
The lidar backscattering properties of Asian dust particles were studied using a discrete dipole approximation (DDA) model. Both the lidar ratio (LR) and the depolarization ratio (DPR) exhibit an asymptotic trend with dust particle size. Two parameterization schemes were developed: one to estimate the DPR of a single dust particle given its size and the other to estimate the DPR of dust particles with a lognormal particle size distribution given the effective radius.
The lidar backscattering properties of Asian dust particles were studied using a discrete dipole...
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