On what scales can GOSAT flux inversions constrain anomalies  in terrestrial ecosystems?

Byrne, Brendan; Jones, Dylan B. A.; Strong, Kimberly; Polavarapu, Saroja M.; Harper, Anna B.; Baker, David F.; Maksyutov, Shamil

doi:https://doi.org/10.5194/acp-19-13017-2019

Articles | Volume 19, issue 20

https://doi.org/10.5194/acp-19-13017-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-19-13017-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 20

Research article

|

22 Oct 2019

Research article |

| 22 Oct 2019

On what scales can GOSAT flux inversions constrain anomalies in terrestrial ecosystems?

Brendan Byrne, Dylan B. A. Jones, Kimberly Strong, Saroja M. Polavarapu, Anna B. Harper, David F. Baker, and Shamil Maksyutov

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Final revised paper (published on 22 Oct 2019)
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Preprint (discussion started on 02 Jan 2019)

Interactive discussion

Status: closed

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

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RC1: 'Review of Byrne et al.', Anonymous Referee #1, 22 Jan 2019
RC2: 'Review of Byrne et al.', Abhishek Chatterjee, 02 Aug 2019
AC1: 'Response to reviewers', Brendan Byrne, 13 Sep 2019

Peer-review completion

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

AR by Brendan Byrne on behalf of the Authors (13 Sep 2019) Manuscript

ED: Publish as is (17 Sep 2019) by Thomas Karl

AR by Brendan Byrne on behalf of the Authors (17 Sep 2019)

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Short summary

Interannual variations in net ecosystem exchange (NEE) estimated from the Greenhouse Gases Observing Satellite (GOSAT) XCO₂ measurements are shown to be correlated (P < 0.05) with temperature and FLUXCOM NEE anomalies. Furthermore, the GOSAT-informed NEE anomalies are found to be better correlated with temperature and FLUXCOM anomalies than NEE estimates from most terrestrial biosphere models, suggesting that GOSAT CO₂ measurements provide a useful constraint on NEE interannual variability.