Articles | Volume 17, issue 6
https://doi.org/10.5194/acp-17-4131-2017
https://doi.org/10.5194/acp-17-4131-2017
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, Qiang Zhang, Randall V. Martin, Jintai Lin, Hong Huo, Bo Zheng, Siwen Wang, and Kebin He

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Guannan Geng on behalf of the Authors (07 Feb 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Feb 2017) by Gregory Frost
RR by Anonymous Referee #1 (16 Feb 2017)
ED: Reconsider after minor revisions (Editor review) (22 Feb 2017) by Gregory Frost
AR by Guannan Geng on behalf of the Authors (04 Mar 2017)  Author's response    Manuscript
ED: Publish as is (07 Mar 2017) by Gregory Frost
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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.
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