Model-based climatology of diurnal variability in stratospheric ozone as a data analysis tool

Frith, Stacey M.; Bhartia, Pawan K.; Oman, Luke D.; Kramarova, Natalya A.; McPeters, Richard D.; Labow, Gordon J.

doi:https://doi.org/10.5194/amt-13-2733-2020

Articles | Volume 13, issue 5

https://doi.org/10.5194/amt-13-2733-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-13-2733-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 5

Research article

| Highlight paper

|

28 May 2020

Research article | Highlight paper |

| 28 May 2020

Model-based climatology of diurnal variability in stratospheric ozone as a data analysis tool

Stacey M. Frith, Pawan K. Bhartia, Luke D. Oman, Natalya A. Kramarova, Richard D. McPeters, and Gordon J. Labow

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Final revised paper (published on 28 May 2020)
Supplement to the final revised paper
Preprint (discussion started on 09 Oct 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #2, 24 Oct 2019
- AC2: 'Reply to Referee 2', Stacey Frith, 20 Feb 2020
RC2: 'review', Anonymous Referee #1, 06 Nov 2019
- AC1: 'Reply to Referee 1', Stacey Frith, 20 Feb 2020
RC3: 'Referee Report', Anonymous Referee #3, 07 Nov 2019
- AC3: 'Reply to Referee 3', Stacey Frith, 20 Feb 2020

Peer-review completion

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

AR by Stacey Frith on behalf of the Authors (09 Mar 2020) Author's response Manuscript

ED: Publish as is (15 Apr 2020) by Gabriele Stiller

AR by Stacey Frith on behalf of the Authors (24 Apr 2020)

Short summary

We use the NASA GEOS-GMI chemistry climate model to construct a climatology of stratospheric ozone diurnal variations as a function of latitude, pressure and month, which can be used in a variety of data analysis tasks involving ozone observations made at different times of the day. The climatology compares well with previous modeling simulations and available observations, and to the authors' knowledge is the first characterization of the diurnal cycle available for general ozone data analyses.