A regional carbon data assimilation system and its preliminary evaluation in East Asia

Peng, Z.; Zhang, M.; Kou, X.; Tian, X.; Ma, X.

doi:https://doi.org/10.5194/acp-15-1087-2015

Articles | Volume 15, issue 2

https://doi.org/10.5194/acp-15-1087-2015

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

https://doi.org/10.5194/acp-15-1087-2015

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

Articles | Volume 15, issue 2

Research article

|

30 Jan 2015

Research article |

| 30 Jan 2015

A regional carbon data assimilation system and its preliminary evaluation in East Asia

Z. Peng, M. Zhang, X. Kou, X. Tian, and X. Ma

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Final revised paper (published on 30 Jan 2015)
Preprint (discussion started on 08 Aug 2014)

Interactive discussion

Status: closed

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

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- Supplement

RC C6335: 'review of 'A regional carbon flux data assimilation system and its preliminary evaluation in East Asia'', Anonymous Referee #1, 29 Aug 2014
- AC C9176: 'Response to Reviewer #1’s comments', Zhen Peng, 14 Nov 2014
RC C6653: 'Review of "A regional carbon flux data assimilation system and its preliminary evaluation in East Asia"', Anonymous Referee #2, 08 Sep 2014
- AC C9178: 'Response to Reviewer #2’s comments:', Zhen Peng, 14 Nov 2014

Peer-review completion

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

AR by Zhen Peng on behalf of the Authors (15 Nov 2014) Author's response Manuscript

ED: Referee Nomination & Report Request started (01 Dec 2014) by Xiaohong Liu

RR by Anonymous Referee #1 (11 Dec 2014)

ED: Publish subject to technical corrections (29 Dec 2014) by Xiaohong Liu

AR by Zhen Peng on behalf of the Authors (06 Jan 2015) Author's response Manuscript

Short summary

We associated the smoothing operator with the atmospheric transport model to constitute the persistence dynamical model to forecast the surface CO2 flux scaling factors for the purpose of resolving the "signal-to-noise" problem, as well as transporting the useful observed information onto the next assimilation cycle. Based on this improvement, a regional surface CO2 flux inversion system, CFI-CMAQ, has been developed. The OSSEs showed that the performance of CFI-CMAQ is effective and promising.