Sensitivity of top-down CO source estimates to the modeled vertical structure in atmospheric CO

Jiang, Z.; Jones, D. B. A.; Worden, H. M.; Henze, D. K.

doi:https://doi.org/10.5194/acp-15-1521-2015

Articles | Volume 15, issue 3

https://doi.org/10.5194/acp-15-1521-2015

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

https://doi.org/10.5194/acp-15-1521-2015

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

Articles | Volume 15, issue 3

Research article

|

11 Feb 2015

Research article |

| 11 Feb 2015

Sensitivity of top-down CO source estimates to the modeled vertical structure in atmospheric CO

Z. Jiang, D. B. A. Jones, H. M. Worden, and D. K. Henze

Download

Final revised paper (published on 11 Feb 2015)
Preprint (discussion started on 08 Sep 2014)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC C8565: 'Review: Z. Jiang, et al., 2014: Sensitivity of inferred regional CO source estimates to vertical structure in CO as observed by MOPITT', Anonymous Referee #1, 28 Oct 2014
- AC C10844: 'Reply for Referee #1', Zhe Jiang, 05 Jan 2015
RC C8684: 'Reviewer's Comments', Anonymous Referee #2, 31 Oct 2014
- AC C10849: 'Reply for Referee # 2', Zhe Jiang, 05 Jan 2015

Peer-review completion

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

AR by Zhe Jiang on behalf of the Authors (05 Jan 2015) Author's response Manuscript

ED: Publish as is (08 Jan 2015) by Monika Kopacz

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

Short summary

Using MOPITT (version 5) tropospheric profile and surface layer retrievals, we constrain global CO emissions in the period of June 2004 – May 2005. The inversions suggest a reduction in CO emission in the tropics and an increase in emissions at middle and high latitudes. The results demonstrate that the use of the surface layer retrievals from MOPITT can significantly mitigate the potential impacts of model bias in OH and long-range transport on CO emission estimates.