Evaluation of the transport matrix method for simulation of ocean biogeochemical tracers

Kvale, Karin F.; Khatiwala, Samar; Dietze, Heiner; Kriest, Iris; Oschlies, Andreas

doi:https://doi.org/10.5194/gmd-10-2425-2017

Articles | Volume 10, issue 6

https://doi.org/10.5194/gmd-10-2425-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

The Transport Matrix Method (TMM) for ocean biogeochemical...

https://doi.org/10.5194/gmd-10-2425-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 6

Model evaluation paper

|

29 Jun 2017

Model evaluation paper |

| 29 Jun 2017

Evaluation of the transport matrix method for simulation of ocean biogeochemical tracers

Karin F. Kvale, Samar Khatiwala, Heiner Dietze, Iris Kriest, and Andreas Oschlies

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Final revised paper (published on 29 Jun 2017)
Preprint (discussion started on 06 Feb 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of the paper: Evaluation of the Transport Matrix Method for simulation of ocean biogeochemical tracers', Anonymous Referee #1, 06 Mar 2017
- AC1: 'Author Response to Reviewer Comments', Karin Kvale, 03 May 2017
RC2: 'Review', Anonymous Referee #2, 15 Mar 2017
- AC2: 'Author Response to Reviewer Comments', Karin Kvale, 03 May 2017
RC3: 'Review of "Evaluation of the Transport Matrix Method for simulation of oceani biogeochemical tracers" by Kvale et al.', Anonymous Referee #3, 22 Mar 2017
- AC3: 'Author Response to Reviewer Comments', Karin Kvale, 03 May 2017

Peer-review completion

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

AR by Karin Kvale on behalf of the Authors (03 May 2017) Author's response Manuscript

ED: Publish subject to technical corrections (23 May 2017) by Paul Halloran

AR by Karin Kvale on behalf of the Authors (25 May 2017) Author's response Manuscript

Short summary

Computer models of ocean biology and chemistry are becoming increasingly complex, and thus more expensive, to run. One solution is to approximate the behaviour of the ocean physics and store that information outside of the model. That offline information can then be used to calculate a steady-state solution from the model's biology and chemistry, without waiting for a traditional online integration to complete. We show this offline method reproduces online results and is 100 times faster.