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Aerosol optical and radiative properties and their environmental effects in China: A review.

Authors :
Che, Huizheng
Xia, Xiangao
Zhao, Hujia
Li, Lei
Gui, Ke
Zheng, Yu
Song, Jingjing
Qi, Bing
Zhu, Jun
Miao, Yucong
Wang, Yaqiang
Wang, Zhili
Wang, Hong
Dubovik, Oleg
Holben, Brent
Chen, Hongbin
Shi, Guangyu
Zhang, Xiaoye
Source :
Earth-Science Reviews. Jan2024, Vol. 248, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Aerosols are important atmospheric constituents with significant impacts on both regional air quality and the global climate and environment. Aerosol effects on radiation, clouds and precipitation are strongly related to the optical properties of aerosols, which vary considerably in space and time. This study reviewed the current understanding of the optical and radiative properties of aerosols and aerosol effects in China, and presented future research prospects. The Chinese aerosol remote sensing network (CARSNET) has been developed and expanded to include >80 stations across China. An internationally recognized radiometric calibration and data processing method has been developed to provide high-quality observational data of key optical properties. Ground lidars are used to provide information on the vertical aerosol optical properties on the spatiotemporal scales. The spatio-temporal distribution and evolution of aerosols are also analyzed using multi-satellite observations. Particle type and component content information are derived from aerosol component retrieval algorithm. Given the advantages of aerosol assimilation reanalysis products in terms of temporal resolution and spatial coverage, such information can more accurately characterize the climatological impact of aerosol optical properties and aerosol–climate interactions. Measurements obtained using the above methods can quantitatively reveal the influence of aerosol direct radiation effects in different regions, and support the exploration of the potential mechanisms of aerosol impacts on weather and climate from the perspective of ground-based remote sensing, which will help to guide the direction of future research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00128252
Volume :
248
Database :
Academic Search Index
Journal :
Earth-Science Reviews
Publication Type :
Academic Journal
Accession number :
174339245
Full Text :
https://doi.org/10.1016/j.earscirev.2023.104634