Methane chemistry in a nutshell – the new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0)

Winterstein, Franziska; Jöckel, Patrick

doi:https://doi.org/10.5194/gmd-14-661-2021

Articles | Volume 14, issue 2

https://doi.org/10.5194/gmd-14-661-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

The Modular Earth Submodel System (MESSy) (ACP/GMD inter-journal...

https://doi.org/10.5194/gmd-14-661-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

Development and technical paper

|

02 Feb 2021

Development and technical paper |

| 02 Feb 2021

Methane chemistry in a nutshell – the new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0)

Franziska Winterstein and Patrick Jöckel

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Final revised paper (published on 02 Feb 2021)
Supplement to the final revised paper
Preprint (discussion started on 26 Jun 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

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RC1: 'Methane chemistry in a nutshell – The new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0) , Winterstein and Joeckel, GMD-2020-137.', Anonymous Referee #1, 10 Aug 2020
- AC1: 'Reply to RC1', F. Winterstein, 26 Oct 2020
RC2: 'Referee comment on gmd-2020-137: Methane chemistry in a nutshell – The new submodels CH4 (v1.0) and TRSYNC (v1.0) in MESSy (v2.54.0)', Anonymous Referee #2, 07 Sep 2020
- AC2: 'Reply to RC2', F. Winterstein, 26 Oct 2020

Peer-review completion

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

AR by F. Winterstein on behalf of the Authors (05 Nov 2020) Author's response Manuscript

ED: Publish as is (30 Nov 2020) by Fiona O'Connor

Short summary

Atmospheric methane is currently a hot topic in climate research. This is partly due to its chemically active nature. We introduce a simplified approach to simulate methane in climate models to enable large sensitivity studies by reducing computational cost but including the crucial feedback of methane on stratospheric water vapour. We further provide options to simulate the isotopic content of methane and to generate output for an inverse optimization technique for emission estimation.