Regional data assimilation of multi-spectral MOPITT observations of CO over North America

Jiang, Z.; Jones, D. B. A.; Worden, J.; Worden, H. M.; Henze, D. K.; Wang, Y. X.

doi:https://doi.org/10.5194/acp-15-6801-2015

Articles | Volume 15, issue 12

https://doi.org/10.5194/acp-15-6801-2015

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

https://doi.org/10.5194/acp-15-6801-2015

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

Articles | Volume 15, issue 12

Research article

|

19 Jun 2015

Research article |

| 19 Jun 2015

Regional data assimilation of multi-spectral MOPITT observations of CO over North America

Z. Jiang, D. B. A. Jones, J. Worden, H. M. Worden, D. K. Henze, and Y. X. Wang

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Final revised paper (published on 19 Jun 2015)
Preprint (discussion started on 25 Feb 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C938: 'Review of Jiang et al. paper', Anonymous Referee #1, 20 Mar 2015
- AC C3215: 'Response to Referee 1', Zhe Jiang, 04 Jun 2015
RC C1322: 'acp-2015-64 Regional data assimilation of multi-spectral MOPITT observations of CO over North America Z. Jiang, D. B. A. Jones, J. R. Worden, H. M. Worden, D. K. Henze, and Y. X. Wang', Anonymous Referee #2, 06 Apr 2015
- AC C3230: 'Response to Referee #2', Zhe Jiang, 04 Jun 2015

Peer-review completion

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

AR by Zhe Jiang on behalf of the Authors (06 Jun 2015) Author's response Manuscript

ED: Publish as is (08 Jun 2015) by Bryan N. Duncan

AR by Zhe Jiang on behalf of the Authors (08 Jun 2015)

Short summary

We present a high-resolution (0.5 x 0.667) regional CO inversion over North America in the period of June 2004–May 2005, using a combination of GEOS-Chem model and MOPITT CO observations. With optimized lateral boundary conditions, we show that regional inversion analyses can reduce the sensitivity of the CO source estimates to errors in long-range transport and in the distributions of the hydroxyl radical (OH), and consequently, provide better quantification on regional CO source estimates.