Calibration of a multi-physics ensemble for estimating the uncertainty of a greenhouse gas atmospheric transport model

Díaz-Isaac, Liza I.; Lauvaux, Thomas; Bocquet, Marc; Davis, Kenneth J.

doi:https://doi.org/10.5194/acp-19-5695-2019

Articles | Volume 19, issue 8

https://doi.org/10.5194/acp-19-5695-2019

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

https://doi.org/10.5194/acp-19-5695-2019

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

Articles | Volume 19, issue 8

Research article

|

30 Apr 2019

Research article |

| 30 Apr 2019

Calibration of a multi-physics ensemble for estimating the uncertainty of a greenhouse gas atmospheric transport model

Liza I. Díaz-Isaac, Thomas Lauvaux, Marc Bocquet, and Kenneth J. Davis

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Final revised paper (published on 30 Apr 2019)
Preprint (discussion started on 10 Dec 2018)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Referee comment on "Calibration of a multi-physics ensemble ...."', Ian Enting, 06 Jan 2019
- AC1: 'Response to Ian Enting Comments', Liza I. Díaz-Isaac, 26 Mar 2019
RC2: 'Referee Comment on "Calibration of a multi-physics ensemble for greenhouse gas atmospheric transport model uncertainty estimation"', Lori Bruhwiler, 11 Jan 2019
- AC2: 'Response to Lori Bruhwiler Comments', Liza I. Díaz-Isaac, 26 Mar 2019

Peer-review completion

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

AR by Liza I. Díaz-Isaac on behalf of the Authors (26 Mar 2019) Author's response Manuscript

ED: Publish as is (08 Apr 2019) by Marc von Hobe

AR by Liza I. Díaz-Isaac on behalf of the Authors (15 Apr 2019) Author's response Manuscript

Short summary

We demonstrate that transport model errors, one of the main contributors to the uncertainty in regional CO₂ inversions, can be represented by a small-size ensemble carefully calibrated with meteorological data. Our results also confirm transport model errors represent a significant fraction of the model–data mismatch in CO₂ mole fractions and hence in regional inverse CO₂ fluxes.