Global Aerosol Classification Based on Aerosol Robotic Network (AERONET) and Satellite Observation

Autor: Jianyu Lin, Yu Zheng, Xinyong Shen, Lizhu Xing, Huizheng Che

Publikováno v: Remote Sensing, Vol 13, Iss 6, p 1114 (2021)

The particle linear depolarization ratio (PLDR) and single scatter albedo (SSA) in 1020 nm from the Aerosol Robotic Network (AERONET) level 2.0 dataset was utilized among 52 stations to identify dust and dust dominated aerosols (DD), pollution domina

Externí odkaz: https://doaj.org/article/4566f68d6eb542c7b40e4e68af30c620

Identification of typical dust sources in Tarim Basin based on multi-wavelength Raman polarization lidar

Autor: Haofei Wang, Zhengqiang Li, Philippe Goloub, Qiaoyun Hu, Fu Wang, Yang Lv, Bangyu Ge, Xiuqing Hu, Jian Shang, Peng Zhang

Publikováno v: Atmospheric Environment
Atmospheric Environment, 2022, 290, ⟨10.1016/j.atmosenv.2022.119358⟩

International audience; Asian mineral dust is one of the main aerosol sources in the Earth-atmosphere system, which generates significant effect on air quality, human health, and climate change. Meanwhile, knowledge of vertical optical properties of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0922ce510ad4b0cea3f2e845b4766c8
https://hal-insu.archives-ouvertes.fr/insu-03869354

Global Aerosol Classification Based on Aerosol Robotic Network (AERONET) and Satellite Observation

Autor: Lizhu Xing, Jianyu Lin, Yu Zheng, Huizheng Che, Xinyong Shen

Publikováno v: Remote Sensing; Volume 13; Issue 6; Pages: 1114
Remote Sensing, Vol 13, Iss 1114, p 1114 (2021)

The particle linear depolarization ratio (PLDR) and single scatter albedo (SSA) in 1020 nm from the Aerosol Robotic Network (AERONET) level 2.0 dataset was utilized among 52 stations to identify dust and dust dominated aerosols (DD), pollution domina

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c5cb4902f302cb8cfc00b2fd979e4aa

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Is the near-spherical shape the new black for smoke?

Autor: A. Gialitaki, A. Tsekeri, V. Amiridis, R. Ceolato, L. Paulien, A. Kampouri, A. Gkikas, S. Solomos, E. Marinou, M. Haarig, H. Baars, A. Ansmann, T. Lapyonok, A. Lopatin, O. Dubovik, S. Groß, M. Wirth, M. Tsichla, I. Tsikoudi, D. Balis

Publikováno v: Atmospheric Chemistry and Physics Discussions (ACPD)
Atmospheric Chemistry and Physics, Vol 20, Pp 14005-14021 (2020)
Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics, European Geosciences Union, 2020, 20 (22), pp.14005-14021. ⟨10.5194/acp-20-14005-2020⟩
Atmospheric Chemistry and Physics, 2020, 20 (22), pp.14005-14021. ⟨10.5194/acp-20-14005-2020⟩
Atmospheric Chemistry and Physics, European Geosciences Union, 2020, 20 (22), pp.14005-14021. ⟨10.5194/acp-2020-22⟩

International audience; We examine the capability of near-spherical-shaped particles to reproduce the triple-wavelength particle linear depolarization ratio (PLDR) and lidar ratio (LR) values measured over Europe for stratospheric smoke originating f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::506500b7d6eabd47453517844d807118