Global sensitivity analysis of the GEOS-Chem chemical transport model: ozone and hydrogen oxides during ARCTAS (2008)

Christian, Kenneth E.; Brune, William H.; Mao, Jingqiu

doi:https://doi.org/10.5194/acp-17-3769-2017

Articles | Volume 17, issue 5

https://doi.org/10.5194/acp-17-3769-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/acp-17-3769-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 5

Research article

|

17 Mar 2017

Research article |

| 17 Mar 2017

Global sensitivity analysis of the GEOS-Chem chemical transport model: ozone and hydrogen oxides during ARCTAS (2008)

Kenneth E. Christian, William H. Brune, and Jingqiu Mao

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Final revised paper (published on 17 Mar 2017)
Supplement to the final revised paper
Preprint (discussion started on 11 Oct 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of "Global sensitivity analysis of the GEOS-Chem chemical transport model: Ozone and hydrogen oxides during ARCTAS (2008)" by Christian et al.', Anonymous Referee #1, 13 Dec 2016
- AC1: 'Response to Referee #1', Kenneth Christian, 26 Jan 2017
RC2: 'Review of Christian et al', Anonymous Referee #2, 15 Dec 2016
- AC2: 'Response to Referee #2', Kenneth Christian, 26 Jan 2017

Peer-review completion

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

AR by Kenneth Christian on behalf of the Authors (27 Jan 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Jan 2017) by Dwayne Heard

RR by Anonymous Referee #1 (08 Feb 2017)

ED: Publish as is (13 Feb 2017) by Dwayne Heard

AR by Kenneth Christian on behalf of the Authors (16 Feb 2017) Manuscript

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Short summary

To better understand the sources of uncertainty in modeled Arctic tropospheric oxidants, we created and analyzed an ensemble of chemical transport model runs with inputs perturbed according to their respective uncertainties. Ozone and OH were most sensitive to various emissions and chemical factors. HO₂ was overwhelmingly sensitive to aerosol particle uptake. When compared to airborne measurements, better agreement was found when the model used lower aerosol particle uptake rates.