Articles | Volume 16, issue 8
https://doi.org/10.5194/acp-16-5283-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-5283-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
NOx lifetimes and emissions of cities and power plants in polluted background estimated by satellite observations
State Key Joint Laboratory of Environment Simulation and
Pollution Control, School of Environment, Tsinghua University, Beijing
100084, China
Ministry of Education Key Laboratory for Earth System
Modeling, Center for Earth System Science, Tsinghua University, Beijing
100084, China
Max-Planck-Institut für Chemie, Mainz 55128,
Germany
Steffen Beirle
Max-Planck-Institut für Chemie, Mainz 55128,
Germany
Qiang Zhang
Ministry of Education Key Laboratory for Earth System
Modeling, Center for Earth System Science, Tsinghua University, Beijing
100084, China
Steffen Dörner
Max-Planck-Institut für Chemie, Mainz 55128,
Germany
Kebin He
State Key Joint Laboratory of Environment Simulation and
Pollution Control, School of Environment, Tsinghua University, Beijing
100084, China
Ministry of Education Key Laboratory for Earth System
Modeling, Center for Earth System Science, Tsinghua University, Beijing
100084, China
Thomas Wagner
Max-Planck-Institut für Chemie, Mainz 55128,
Germany
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Short summary
We present a new method to quantify NOx emissions and corresponding atmospheric lifetimes from OMI NO2 observations together with ECMWF wind fields without further model input for sources located in polluted background. The derived NOx emissions show generally good agreement with bottom-up inventories for power plants and cities. Global inventory significantly underestimated NOx emissions in Chinese cities, most likely due to uncertainties associated with downscaling approaches.
We present a new method to quantify NOx emissions and corresponding atmospheric lifetimes from...
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