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Extensive Characterization of Aerosol Optical Properties and Chemical Component Concentrations: Application of the GRASP/Component Approach to Long-term AERONET MeasurementsA recently developed GRASP/Component approach (GRASP: Generalized Retrieval of Atmosphere and Surface Properties) was applied to AERONET (Aeronet Robotic Network) sun photometer measurements in this study. Unlike traditional aerosol component retrieval, this approach allows the inference of some information about aerosol composition directly from measured radiance, rather than indirectly through the inversion of optical parameters, and has been integrated into the GRASP algorithm. The newly developed GRASP/Component approach was applied to 13 AERONET sites for different aerosol types under the assumption of aerosol internal mixing rules to analyze the characteristics of aerosol components and their distribution patterns. The results indicate that the retrievals can characterize well the spatial and temporal variability of the component concentration for different aerosol types. A reasonable agreement between GRASP BC retrievals and MERRA-2 BC products is found for all different aerosol types. In addition, the relationships between aerosol component content and aerosol optical parameters such as aerosol optical depth (AOD), fine-mode fraction (FMF), absorption Ångström exponent (AAE), scattering Ångström exponent (SAE), and single scattering albedo (SSA) are also analyzed for indirect verifying the reliability of the component retrieval. It was demonstrated the GRASP/Component optical retrievals are in good agreement with AERONET standard products [e.g., correlation coefficient (R) of 0.93–1.0 for AOD, fine-mode AOD (AODF), coarse-mode AOD (AODC) and Ångström exponent (AE); R = ~ 0.8 for absorption AOD (AAOD) and SSA; RMSE (root mean square error) < 0.03 for AOD, AODF, AODC, AAOD and SSA]. Thus, it is demonstrated the GRASP/Component approach can provide aerosol optical products with comparable accuracy as the AERONET standard products from the ground-based sun photometer measurements as well as some additional important inside on aerosol composition.
Document ID
20220006439
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Xindan Zhang
(Chinese Academy of Meteorological Sciences Beijing, China)
Lei Li
(Chinese Academy of Meteorological Sciences Beijing, China)
Cheng Chen
(University of Lille Lille, France)
Yu Zheng
(Chinese Academy of Meteorological Sciences Beijing, China)
Oleg Dubovik
(University of Lille Lille, France)
Yevgeny Derimian
(University of Lille Lille, France)
Anton Lopatin
(GRASP-SAS)
Ke Gui
(Chinese Academy of Meteorological Sciences Beijing, China)
Yaqiang Wang
(Chinese Academy of Meteorological Sciences Beijing, China)
Hujia Zhao
(Institute of Atmospheric Environment)
Yuanxin Liang
(Chinese Academy of Meteorological Sciences Beijing, China)
Brent Holben
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Huizheng Che
(Chinese Academy of Meteorological Sciences Beijing, China)
Xiaoye Zhang
(Chinese Academy of Meteorological Sciences Beijing, China)
Date Acquired
April 26, 2022
Publication Date
December 21, 2021
Publication Information
Publication: Science of The Total Environment
Publisher: Elsevier
Volume: 812
Issue Publication Date: March 1, 2022
ISSN: 0048-9697
e-ISSN: 1879-1026
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 509496.02.03.01.17.22
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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