Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1 constrained with observation data

Groot Zwaaftink, Christine D.; Henne, Stephan; Thompson, Rona L.; Dlugokencky, Edward J.; Machida, Toshinobu; Paris, Jean-Daniel; Sasakawa, Motoki; Segers, Arjo; Sweeney, Colm; Stohl, Andreas

doi:https://doi.org/10.5194/gmd-11-4469-2018

Articles | Volume 11, issue 11

https://doi.org/10.5194/gmd-11-4469-2018

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

Special issue:

The Lagrangian particle dispersion model FLEXPART

https://doi.org/10.5194/gmd-11-4469-2018

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

Articles | Volume 11, issue 11

Development and technical paper

|

08 Nov 2018

Development and technical paper |

| 08 Nov 2018

Three-dimensional methane distribution simulated with FLEXPART 8-CTM-1.1 constrained with observation data

Christine D. Groot Zwaaftink, Stephan Henne, Rona L. Thompson, Edward J. Dlugokencky, Toshinobu Machida, Jean-Daniel Paris, Motoki Sasakawa, Arjo Segers, Colm Sweeney, and Andreas Stohl

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Final revised paper (published on 08 Nov 2018)
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Preprint (discussion started on 14 Jun 2018)
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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 Zwaaftink et al.', Anonymous Referee #1, 20 Jul 2018
RC2: 'comments on Groot Zwaaftink et al., GMDD 2018', Anonymous Referee #2, 15 Aug 2018
RC3: 'Review of Groot Zwaaftink et al', Anonymous Referee #3, 16 Aug 2018
AC1: 'Author response to all reviews', Christine Groot Zwaaftink, 17 Sep 2018

Peer-review completion

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

AR by Christine Groot Zwaaftink on behalf of the Authors (17 Sep 2018) Author's response Manuscript

ED: Publish as is (01 Oct 2018) by Andrea Stenke

AR by Christine Groot Zwaaftink on behalf of the Authors (08 Oct 2018)

Short summary

A Lagrangian particle dispersion model is used to simulate global fields of methane, constrained by observations through nudging. We show that this rather simple and computationally inexpensive method can give results similar to or as good as a computationally expensive Eulerian chemistry transport model with a data assimilation scheme. The three-dimensional methane fields are of interest to applications such as inverse modelling and satellite retrievals.