Articles | Volume 14, issue 7
https://doi.org/10.5194/essd-14-3439-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-3439-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
29 Jul 2022
Data description article |
| 29 Jul 2022
| 29 Jul 2022
Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Yevgeny Derimian
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d'Optique
Atmosphérique, 59000 Lille, France
Cheng Chen
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d'Optique
Atmosphérique, 59000 Lille, France
GRASP-SAS, Villeneuve d'Ascq, France
Xindan Zhang
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Gregory L. Schuster
NASA Langley Research Center, Hampton, VA, USA
David Fuertes
GRASP-SAS, Villeneuve d'Ascq, France
Pavel Litvinov
GRASP-SAS, Villeneuve d'Ascq, France
Tatyana Lapyonok
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d'Optique
Atmosphérique, 59000 Lille, France
Anton Lopatin
GRASP-SAS, Villeneuve d'Ascq, France
Christian Matar
GRASP-SAS, Villeneuve d'Ascq, France
Fabrice Ducos
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d'Optique
Atmosphérique, 59000 Lille, France
Yana Karol
GRASP-SAS, Villeneuve d'Ascq, France
Benjamin Torres
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d'Optique
Atmosphérique, 59000 Lille, France
Ke Gui
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Yu Zheng
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Yuanxin Liang
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Yadong Lei
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Jibiao Zhu
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Lei Zhang
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Junting Zhong
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Xiaoye Zhang
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of CMA, Chinese Academy of Meteorological Sciences, Beijing 100081, China
Univ. Lille, CNRS, UMR 8518 – LOA – Laboratoire d'Optique
Atmosphérique, 59000 Lille, France
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- Incorporated constraints on mineral abundances and complex refractive indices for mineral dust components simulation L. Li et al.
- Comparative impact of surface reflection models on aerosol component retrieval S. Liu et al.
- Long-term characteristics of dust aerosols over central China from 2010 to 2020 observed with polarization lidar D. Jing et al.
- Technical note: Reconstructing missing surface aerosol elemental carbon data in long-term series with ensemble learning Q. Meng et al.
- Effects of different aerosol types on surface UV radiation in the 21st century A. Chatzopoulou et al.
Saved (final revised paper)
Latest update: 24 May 2026
Short summary
A climatology of aerosol composition concentration derived from POLDER-3 observations using GRASP/Component is presented. The conceptual specifics of the GRASP/Component approach are in the direct retrieval of aerosol speciation without intermediate retrievals of aerosol optical characteristics. The dataset of satellite-derived components represents scarce but imperative information for validation and potential adjustment of chemical transport models.
A climatology of aerosol composition concentration derived from POLDER-3 observations using...
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