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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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Volume 16, issue 2
Atmos. Chem. Phys., 16, 989–1002, 2016
https://doi.org/10.5194/acp-16-989-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Haze-fog forecasts and near real time (NRT) data application...

Atmos. Chem. Phys., 16, 989–1002, 2016
https://doi.org/10.5194/acp-16-989-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 27 Jan 2016

Research article | 27 Jan 2016

Inverse modeling of black carbon emissions over China using ensemble data assimilation

P. Wang et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ping Wang on behalf of the Authors (23 Dec 2015)  Author's response    Manuscript
ED: Publish as is (06 Jan 2016) by Jørgen Brandt
Publications Copernicus
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Short summary
An ensemble optimal interpolation (EnOI) data assimilation technique is used to investigate the possibility of optimally recovering the spatially resolved emissions bias of BC. The inversed emission over China in January is 240.1 Gg, and annual emission is about 2539 Gg. Even though only monthly mean BC measurements are employed to inverse the emissions, the accuracy of the daily model simulation improves. We finds that EnOI is a useful and computation-free method to make top-down estimation.
An ensemble optimal interpolation (EnOI) data assimilation technique is used to investigate the...
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