Articles | Volume 11, issue 3
https://doi.org/10.5194/amt-11-1817-2018
© 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/amt-11-1817-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Mar 2018
Research article |
| 29 Mar 2018
| 29 Mar 2018
Updated SO2 emission estimates over China using OMI/Aura observations
Maria Elissavet Koukouli
CORRESPONDING AUTHOR
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Greece
Nicolas Theys
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Jieying Ding
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Technical University Delft, Delft, the Netherlands
Irene Zyrichidou
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Greece
Bas Mijling
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
Dimitrios Balis
Laboratory of Atmospheric Physics, Aristotle University of Thessaloniki, Greece
Ronald Johannes van der A
Royal Netherlands Meteorological Institute (KNMI), De Bilt, the Netherlands
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- Long-term ambient SO2 concentration and its exposure risk across China inferred from OMI observations from 2005 to 2018 X. Zhang et al. https://doi.org/10.1016/j.atmosres.2020.105150
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Saved (final revised paper)
Latest update: 22 Sep 2026
Short summary
Within the framework of the EU FP7 project MarcoPolo (Monitoring and Assessment of Regional air quality in China using space Observations), a new SO2 emission inventory over China was calculated using the CHIMERE CTM simulations, 10 years of OMI/Aura total SO2 columns and the bottom-up Multi-resolution Emission Inventory for China (MEIC v1.2).
Within the framework of the EU FP7 project MarcoPolo (Monitoring and Assessment of Regional air...
