Simulating lightning NO production in CMAQv5.2: evolution of scientific updates

Kang, Daiwen; Pickering, Kenneth E.; Allen, Dale J.; Foley, Kristen M.; Wong, David C.; Mathur, Rohit; Roselle, Shawn J.

doi:https://doi.org/10.5194/gmd-12-3071-2019

Articles | Volume 12, issue 7

https://doi.org/10.5194/gmd-12-3071-2019

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

https://doi.org/10.5194/gmd-12-3071-2019

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

Articles | Volume 12, issue 7

Development and technical paper

|

18 Jul 2019

Development and technical paper |

| 18 Jul 2019

Simulating lightning NO production in CMAQv5.2: evolution of scientific updates

Daiwen Kang, Kenneth E. Pickering, Dale J. Allen, Kristen M. Foley, David C. Wong, Rohit Mathur, and Shawn J. Roselle

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Final revised paper (published on 18 Jul 2019)
Preprint (discussion started on 14 Mar 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of “Simulating Lightning NOx Production in CMAQv5.2: Evaluations of Scientific Updates” by Kang et al.', Anonymous Referee #1, 21 Mar 2019
- AC1: 'Response to Referee #1', Daiwen Kang, 28 Jun 2019
RC2: 'Review of gmd-2019-33', Anonymous Referee #2, 31 May 2019
- AC2: 'Response to Referee #2', Daiwen Kang, 28 Jun 2019

Peer-review completion

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

AR by Daiwen Kang on behalf of the Authors (29 Jun 2019) Author's response Manuscript

ED: Publish as is (01 Jul 2019) by Gerd A. Folberth

AR by Daiwen Kang on behalf of the Authors (01 Jul 2019) Manuscript

Short summary

Lightning strikes produce significant amount of nitrogen oxides and the resulting atmospheric chemistry causes one of the primary air pollutants, ground-level ozone, to change. In this paper, we documented the evolution of scientific updates for lightning-induced nitrogen oxides schemes in the CMAQ model. The updated observation-based schemes are good for retrospective applications, while the parameterized scheme can estimate lightning nitrogen oxides for applications without observations.