Articles | Volume 16, issue 15
https://doi.org/10.5194/acp-16-9655-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/acp-16-9655-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China
Yahui Che
State Key Laboratory of Remote Sensing Science, jointly sponsored by
the Institute of Remote Sensing and Digital Earth of the Chinese Academy of
Sciences and Beijing Normal University, Institute of Remote Sensing and
Digital Earth, Chinese Academy of Sciences, 100101 Beijing, China
University of Chinese Academy of Sciences, 100049 Beijing, China
State Key Laboratory of Remote Sensing Science, jointly sponsored by
the Institute of Remote Sensing and Digital Earth of the Chinese Academy of
Sciences and Beijing Normal University, Institute of Remote Sensing and
Digital Earth, Chinese Academy of Sciences, 100101 Beijing, China
Department of Computing and Mathematics, College of Engineering and
Technology, University of Derby, Kedleston Road, Derby, DE22 1GB, UK
Linlu Mei
Key Laboratory of Digital Earth Science, Institute of Remote Sensing
and Digital Earth, Chinese Academy of Sciences, 100094 Beijing, China
Jie Guang
Key Laboratory of Digital Earth Science, Institute of Remote Sensing
and Digital Earth, Chinese Academy of Sciences, 100094 Beijing, China
State Key Laboratory of Remote Sensing Science, jointly sponsored by
the Institute of Remote Sensing and Digital Earth of the Chinese Academy of
Sciences and Beijing Normal University, Institute of Remote Sensing and
Digital Earth, Chinese Academy of Sciences, 100101 Beijing, China
University of Chinese Academy of Sciences, 100049 Beijing, China
Jianping Guo
Centre for Atmosphere Watch and Services, Chinese Academy of
Meteorological Sciences, 46 Zhongguancun South Avenue, Haidian District,
100081 Beijing, China
Yincui Hu
Hebei Key Laboratory of Environmental Change and Ecological
Construction, College of Resources and Environment Science, Hebei Normal
University, Shijiazhuang, Hebei Province, China
Hui Xu
Key Laboratory of Digital Earth Science, Institute of Remote Sensing
and Digital Earth, Chinese Academy of Sciences, 100094 Beijing, China
Xingwei He
State Key Laboratory of Remote Sensing Science, jointly sponsored by
the Institute of Remote Sensing and Digital Earth of the Chinese Academy of
Sciences and Beijing Normal University, Institute of Remote Sensing and
Digital Earth, Chinese Academy of Sciences, 100101 Beijing, China
University of Chinese Academy of Sciences, 100049 Beijing, China
Aojie Di
State Key Laboratory of Remote Sensing Science, jointly sponsored by
the Institute of Remote Sensing and Digital Earth of the Chinese Academy of
Sciences and Beijing Normal University, Institute of Remote Sensing and
Digital Earth, Chinese Academy of Sciences, 100101 Beijing, China
University of Chinese Academy of Sciences, 100049 Beijing, China
Cheng Fan
State Key Laboratory of Remote Sensing Science, jointly sponsored by
the Institute of Remote Sensing and Digital Earth of the Chinese Academy of
Sciences and Beijing Normal University, Institute of Remote Sensing and
Digital Earth, Chinese Academy of Sciences, 100101 Beijing, China
University of Chinese Academy of Sciences, 100049 Beijing, China
Data sets
ESA Aerosol_cci AOD research data ICARE Aeris http://www.icare.univ-lille1.fr/cci
MODIS AOD data MODIS Atmosphere http://modis-atmos.gsfc.nasa.gov/MOD04_L2/
NASA AERONET data http://aeronet.gsfc.nasa.gov/
Short summary
Remotely sensed data could provide continuous spatial coverage of aerosol property over the pan-Eurasian area for PEEX program. The AATSR data can be used to retrieve aerosol optical depth (AOD). The Aerosol_cci project provides users with three AOD retrieval algorithms for AATSR data. Because China is vast in territory and has great differences in terms of land surfaces, the combination of the AERONET and CARSNET data can validate the Level 2 AOD products from AATSR data more comprehensively.
Remotely sensed data could provide continuous spatial coverage of aerosol property over the...
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