Structure of forecast error covariance in coupled atmosphere–chemistry data assimilation

Park, S. K.; Lim, S.; Zupanski, M.

doi:https://doi.org/10.5194/gmd-8-1315-2015

Articles | Volume 8, issue 5

https://doi.org/10.5194/gmd-8-1315-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-1315-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 5

Development and technical paper

|

05 May 2015

Development and technical paper |

| 05 May 2015

Structure of forecast error covariance in coupled atmosphere–chemistry data assimilation

S. K. Park, S. Lim, and M. Zupanski

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Final revised paper (published on 05 May 2015)
Preprint (discussion started on 10 Dec 2014)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C3162: 'Reviewer comments', Anonymous Referee #1, 29 Jan 2015
- AC C3288: 'Reply to Comments by Referee #1', Seon Ki Park, 08 Feb 2015
RC C3238: 'gmd-2014-212', Elias Nino, 31 Jan 2015
- AC C3364: 'Reply to Comments by Referee #2 (E. Nino)', Seon Ki Park, 18 Feb 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Seon Ki Park on behalf of the Authors (23 Mar 2015) Author's response Manuscript

ED: Publish subject to minor revisions (Editor review) (04 Apr 2015) by Adrian Sandu

AR by Seon Ki Park on behalf of the Authors (14 Apr 2015) Author's response Manuscript

ED: Publish as is (16 Apr 2015) by Adrian Sandu

AR by Seon Ki Park on behalf of the Authors (21 Apr 2015)

Short summary

The structure of an ensemble-based coupled atmosphere-chemistry forecast error covariance is examined using the WRF-Chem, a coupled atmosphere-chemistry model. It is found that the coupled error covariance has important cross-variable components that allow a physically meaningful adjustment of all control variables. Additional benefit of the coupled error covariance is that a cross-component impact is allowed; e.g., atmospheric observations can exert impact on chemistry analysis, and vice versa.