Articles | Volume 20, issue 13
Research article
03 Jul 2020
Research article |  | 03 Jul 2020

Constraining remote oxidation capacity with ATom observations

Katherine R. Travis, Colette L. Heald, Hannah M. Allen, Eric C. Apel, Stephen R. Arnold, Donald R. Blake, William H. Brune, Xin Chen, Róisín Commane, John D. Crounse, Bruce C. Daube, Glenn S. Diskin, James W. Elkins, Mathew J. Evans, Samuel R. Hall, Eric J. Hintsa, Rebecca S. Hornbrook, Prasad S. Kasibhatla, Michelle J. Kim, Gan Luo, Kathryn McKain, Dylan B. Millet, Fred L. Moore, Jeffrey Peischl, Thomas B. Ryerson, Tomás Sherwen, Alexander B. Thames, Kirk Ullmann, Xuan Wang, Paul O. Wennberg, Glenn M. Wolfe, and Fangqun Yu


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Katherine Travis on behalf of the Authors (12 Apr 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (16 Apr 2020) by Yafang Cheng
RR by Anonymous Referee #2 (27 Apr 2020)
ED: Publish as is (03 May 2020) by Yafang Cheng

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Katherine Travis on behalf of the Authors (24 Jun 2020)   Author's adjustment   Manuscript
EA: Adjustments approved (30 Jun 2020) by Yafang Cheng
Short summary
Atmospheric models overestimate the rate of removal of trace gases by the hydroxyl radical (OH). This is a concern for studies of the climate and air quality impacts of human activities. Here, we evaluate the performance of a commonly used model of atmospheric chemistry against data from the NASA Atmospheric Tomography Mission (ATom) over the remote oceans where models have received little validation. The model is generally successful, suggesting that biases in OH may be a concern over land.
Final-revised paper