Articles | Volume 21, issue 16
https://doi.org/10.5194/acp-21-12331-2021
© Author(s) 2021. 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-21-12331-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
17 Aug 2021
Research article |
| 17 Aug 2021
| 17 Aug 2021
Multi-dimensional satellite observations of aerosol properties and aerosol types over three major urban clusters in eastern China
Yuqin Liu
Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Tao Lin
CORRESPONDING AUTHOR
Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Juan Hong
Institute for Environmental and Climate Research, Jinan University, Guangzhou, Guangdong 511443, China
Yonghong Wang
Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100029, China
Lamei Shi
Key Laboratory of Digital Earth Sciences, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Yiyi Huang
Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Coastal and Ocean Management Institute, Xiamen University, Xiamen 361102, China
Xian Wu
Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Hao Zhou
Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
Jiahua Zhang
CORRESPONDING AUTHOR
Key Laboratory of Digital Earth Sciences, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
Gerrit de Leeuw
R& D Satellite Observations, Royal Netherlands Meteorological Institute (KNMI), 3730AE De Bilt, the Netherlands
Aerospace Information Research Institute, Chinese Academy of Sciences (AirCAS), No. 20 Datun Road, Chaoyang District, Beijing 100101, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology (NUIST), No. 219, Ningliu Road, Nanjing, Jiangsu, China
School of Environment Science and Spatial Informatics, China University of Mining and Technology (CUMT), Xuzhou, Jiangsu 221116, China
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Cited
10 citations as recorded by crossref.
- Optical Properties and Vertical Distribution of Aerosols Using Polarization Lidar and Sun Photometer over Lanzhou Suburb in Northwest China M. Li et al. 10.3390/rs15204927
- Variability of nocturnal aerosol optical properties in China and correlations with meteorological variables during 2003–2022 F. Li et al. 10.1016/j.atmosenv.2024.120457
- Fusion of Multisource Satellite AOD Products via Bayesian Maximum Entropy With Explicit A Priori Knowledge H. Zhu et al. 10.1109/TGRS.2023.3285943
- Aircraft observations of aerosols and BC in autumn over Guangxi Province, China: Diurnal variation, vertical distribution and source appointment S. Liu et al. 10.1016/j.scitotenv.2023.167550
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al. 10.5194/acp-24-4651-2024
- Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade G. de Leeuw et al. 10.1016/j.atmosenv.2023.119676
- Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021 G. de Leeuw et al. 10.1016/j.apr.2022.101359
- Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019) S. Eom et al. 10.1016/j.atmosres.2022.106457
- Analysis of Long‐Term Trends in the Vertical Distribution and Transport Paths of Atmospheric Aerosols in Typical Regions of China Using 15 Years of CALIOP Data B. Chen et al. 10.1029/2022JD038066
- Air Quality over China G. de Leeuw et al. 10.3390/rs13173542
9 citations as recorded by crossref.
- Optical Properties and Vertical Distribution of Aerosols Using Polarization Lidar and Sun Photometer over Lanzhou Suburb in Northwest China M. Li et al. 10.3390/rs15204927
- Variability of nocturnal aerosol optical properties in China and correlations with meteorological variables during 2003–2022 F. Li et al. 10.1016/j.atmosenv.2024.120457
- Fusion of Multisource Satellite AOD Products via Bayesian Maximum Entropy With Explicit A Priori Knowledge H. Zhu et al. 10.1109/TGRS.2023.3285943
- Aircraft observations of aerosols and BC in autumn over Guangxi Province, China: Diurnal variation, vertical distribution and source appointment S. Liu et al. 10.1016/j.scitotenv.2023.167550
- Opposite effects of aerosols and meteorological parameters on warm clouds in two contrasting regions over eastern China Y. Liu et al. 10.5194/acp-24-4651-2024
- Meteorological and anthropogenic contributions to changes in the Aerosol Optical Depth (AOD) over China during the last decade G. de Leeuw et al. 10.1016/j.atmosenv.2023.119676
- Spatiotemporal variation and provincial scale differences of the AOD across China during 2000–2021 G. de Leeuw et al. 10.1016/j.apr.2022.101359
- Long-term variation of aerosol optical properties associated with aerosol types over East Asia using AERONET and satellite (VIIRS, OMI) data (2012–2019) S. Eom et al. 10.1016/j.atmosres.2022.106457
- Analysis of Long‐Term Trends in the Vertical Distribution and Transport Paths of Atmospheric Aerosols in Typical Regions of China Using 15 Years of CALIOP Data B. Chen et al. 10.1029/2022JD038066
1 citations as recorded by crossref.
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Short summary
The four-dimensional variation of aerosol properties over the BTH, YRD and PRD (east China) were investigated using satellite observations from 2007 to 2020. Distinct differences between the aerosol optical depth and vertical distribution of the occurrence of aerosol types over these regions depend on season, aerosol loading and meteorological conditions. Day–night differences between the vertical distribution of aerosol types suggest effects of boundary layer dynamics and aerosol transport.
The four-dimensional variation of aerosol properties over the BTH, YRD and PRD (east China) were...
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