Articles | Volume 17, issue 6
https://doi.org/10.5194/acp-17-4131-2017
© Author(s) 2017. 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-17-4131-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Mar 2017
Research article |
| 28 Mar 2017
Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis
Guannan Geng
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, China
Qiang Zhang
CORRESPONDING AUTHOR
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing, China
Randall V. Martin
Department of Physics and Atmospheric Science, Dalhousie University,
Halifax, NS, Canada
Smithsonian Astrophysical Observatory, Harvard–Smithsonian Center for Astrophysics, Cambridge, MA, USA
Jintai Lin
Laboratory for Climate and Ocean-Atmosphere Studies, Department of
Atmospheric and Oceanic Sciences, School of Physics, Peking University,
Beijing, China
Hong Huo
Institute of Energy, Environment and Economy, Tsinghua University,
Beijing, China
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
Siwen Wang
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
Max Planck Institute for Chemistry, Mainz, Germany
Kebin He
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing, China
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Latest update: 18 Apr 2024
Short summary
We investigated the impact of spatial proxies on the representation of gridded emissions by comparing six gridded NOx emission datasets over China developed from the same magnitude of emissions and different spatial proxies. GEOS-Chem-modeled NO2 columns from the six gridded emissions are compared with satellite-based columns from OMI. Results show that differences between modeled and satellite-based NO2 columns are sensitive to the spatial proxies used in the gridded emission inventories.
We investigated the impact of spatial proxies on the representation of gridded emissions by...
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