Articles | Volume 17, issue 11
Research article
15 Jun 2017
Research article |  | 15 Jun 2017

Assimilation of satellite NO2 observations at high spatial resolution using OSSEs

Xueling Liu, Arthur P. Mizzi, Jeffrey L. Anderson, Inez Y. Fung, and Ronald C. Cohen


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (24 Feb 2017)  Author's response
ED: Referee Nomination & Report Request started (26 Feb 2017) by Qiang Zhang
RR by Anonymous Referee #1 (23 Mar 2017)
ED: Reconsider after minor revisions (Editor review) (23 Mar 2017) by Qiang Zhang
AR by Anna Wenzel on behalf of the Authors (10 Apr 2017)  Author's response
ED: Publish as is (29 Apr 2017) by Qiang Zhang
AR by Xueling Liu on behalf of the Authors (05 May 2017)  Author's response    Manuscript
Short summary
We describe a chemical ensemble data assimilation system with high spatial and temporal resolution that simultaneously adjusts meteorological and chemical variables and NOx emissions. We investigate the sensitivity of emission inversions to the accuracy and uncertainty of the wind analyses and the emission update scheme. The results provide insight into optimal uses of the observations from future geostationary satellite missions that will observe atmospheric composition.
Final-revised paper