Articles | Volume 14, issue 2
https://doi.org/10.5194/amt-14-1655-2021
© 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/amt-14-1655-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Retrieval of aerosol fine-mode fraction over China from satellite multiangle polarized observations: validation and comparison
Yang Zhang
College of Resources and Environment, University of Information
Technology, Chengdu 610225, China
Zhengqiang Li
CORRESPONDING AUTHOR
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing 100101, China
Zhihong Liu
College of Resources and Environment, University of Information
Technology, Chengdu 610225, China
Yongqian Wang
College of Resources and Environment, University of Information
Technology, Chengdu 610225, China
Chongqing Institute of Meteorological Sciences, Chongqing 401147,
China
Lili Qie
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing 100101, China
Yisong Xie
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing 100101, China
Weizhen Hou
State Environmental Protection Key Laboratory of Satellite Remote
Sensing, Aerospace Information Research Institute, Chinese Academy of
Sciences, Beijing 100101, China
Lu Leng
Beijing Enterprises (Chengdu Shuangliu) Water Co., Ltd., Chengdu
610000, China
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Short summary
The aerosol fine-mode fraction (FMF) is an important parameter reflecting the content of man-made aerosols. This study carried out the retrieval of FMF in China based on multi-angle polarization data and validated the results. The results of this study can contribute to the FMF retrieval algorithm of multi-angle polarization sensors. At the same time, a high-precision FMF dataset of China was obtained, which can provide basic data for atmospheric environment research.
The aerosol fine-mode fraction (FMF) is an important parameter reflecting the content of...