Articles | Volume 20, issue 11
Atmos. Chem. Phys., 20, 6651–6670, 2020
https://doi.org/10.5194/acp-20-6651-2020
Atmos. Chem. Phys., 20, 6651–6670, 2020
https://doi.org/10.5194/acp-20-6651-2020

Research article 05 Jun 2020

Research article | 05 Jun 2020

Inverse modeling of SO2 and NOx emissions over China using multisensor satellite data – Part 2: Downscaling techniques for air quality analysis and forecasts

Yi Wang et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jun Wang on behalf of the Authors (14 Mar 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Mar 2020) by Leiming Zhang
RR by Anonymous Referee #1 (12 Apr 2020)
ED: Publish as is (14 Apr 2020) by Leiming Zhang
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Short summary
We developed four different methods to downscale SO2 and NO2 emissions derived from OMPS satellite observations (in Part 1) for regional air quality modeling at a spatial resolution that is finer than satellite observations. The VIIRS (city lights), TROPOMI, and OMI satellite data as well as surface data are used to evaluate the model. The method of using the top-down emissions from the past month for the air quality forecast in the present month is also shown to have practical merit.
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