Articles | Volume 18, issue 22
https://doi.org/10.5194/acp-18-16631-2018
© Author(s) 2018. 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-18-16631-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 2: AOD time series for 1995–2017 combined from ATSR ADV and MODIS C6.1 and AOD tendency estimations
Larisa Sogacheva
CORRESPONDING AUTHOR
Finnish Meteorological Institute(FMI), Climate Research Programme, Helsinki, Finland
Edith Rodriguez
Finnish Meteorological Institute(FMI), Climate Research Programme, Helsinki, Finland
Pekka Kolmonen
Finnish Meteorological Institute(FMI), Climate Research Programme, Helsinki, Finland
Timo H. Virtanen
Finnish Meteorological Institute(FMI), Climate Research Programme, Helsinki, Finland
Giulia Saponaro
Finnish Meteorological Institute(FMI), Climate Research Programme, Helsinki, Finland
Gerrit de Leeuw
Finnish Meteorological Institute(FMI), Climate Research Programme, Helsinki, Finland
Aristeidis K. Georgoulias
Laboratory of Atmospheric Pollution and Pollution Control
Engineering of Atmospheric Pollutants, Department of Environmental Engineering,
Democritus University of Thrace, Xanthi, Greece
Georgia Alexandri
Laboratory of Atmospheric Pollution and Pollution Control
Engineering of Atmospheric Pollutants, Department of Environmental Engineering,
Democritus University of Thrace, Xanthi, Greece
Konstantinos Kourtidis
Laboratory of Atmospheric Pollution and Pollution Control
Engineering of Atmospheric Pollutants, Department of Environmental Engineering,
Democritus University of Thrace, Xanthi, Greece
Ronald J. van der A
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
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Latest update: 19 Nov 2024
Short summary
Understanding long-term trends in aerosol optical density (AOD) is essential for evaluating health and climate effects and the effectiveness of pollution control policies. A method to construct a combined AOD long time series (1995-2017) using ATSR and MODIS spaceborne instruments is introduced. The effect of changes in the emission regulation policy in China is seen in a gradual AOD decrease after 2011. The effect is more visible in highly populated and industrialized areas in southeast China.
Understanding long-term trends in aerosol optical density (AOD) is essential for evaluating...
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