Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States

Hogrefe, Christian; Liu, Peng; Pouliot, George; Mathur, Rohit; Roselle, Shawn; Flemming, Johannes; Lin, Meiyun; Park, Rokjin J.

doi:https://doi.org/10.5194/acp-18-3839-2018

Articles | Volume 18, issue 5

https://doi.org/10.5194/acp-18-3839-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Global and regional assessment of intercontinental transport...

https://doi.org/10.5194/acp-18-3839-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 5

Research article

|

16 Mar 2018

Research article |

| 16 Mar 2018

Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States

Christian Hogrefe, Peng Liu, George Pouliot, Rohit Mathur, Shawn Roselle, Johannes Flemming, Meiyun Lin, and Rokjin J. Park

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Final revised paper (published on 16 Mar 2018)
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Preprint (discussion started on 08 Aug 2017)
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Interactive discussion

Status: closed

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

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RC1: 'Review of Hogrefe et al.', Anonymous Referee #1, 06 Sep 2017
- AC1: 'Response to Comments by Anonymous Referee #1', Christian Hogrefe, 19 Jan 2018
RC2: 'review', Anonymous Referee #2, 31 Dec 2017
- AC2: 'Response to Comments by Anonymous Referee #2', Christian Hogrefe, 19 Jan 2018

Peer-review completion

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

AR by Christian Hogrefe on behalf of the Authors (19 Jan 2018) Author's response Manuscript

ED: Publish as is (13 Feb 2018) by Frank Dentener

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Short summary

This study quantifies the impacts of different representations of background ozone in state-of-the-science large-scale models on surface and aloft ozone burdens simulated by the CMAQ regional model over the United States. It also compares both the CMAQ simulations and the driving large-scale models to surface and upper air observations.