Impact of spatial proxies on the representation of bottom-up emission inventories: A satellite-based analysis

Geng, Guannan; Zhang, Qiang; Martin, Randall V.; Lin, Jintai; Huo, Hong; Zheng, Bo; Wang, Siwen; He, Kebin

doi:https://doi.org/10.5194/acp-17-4131-2017

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.

Special issue:

East Asia emissions assessment (EA2)

https://doi.org/10.5194/acp-17-4131-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 6

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

Data sets

Multi-resolution Emission Inventory for China Tsinghua University http://www.meicmodel.org

Short summary

We investigated the impact of spatial proxies on the representation of gridded emissions by comparing six gridded NO_x 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.