Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0)

Kriest, Iris; Sauerland, Volkmar; Khatiwala, Samar; Srivastav, Anand; Oschlies, Andreas

doi:https://doi.org/10.5194/gmd-10-127-2017

Articles | Volume 10, issue 1

https://doi.org/10.5194/gmd-10-127-2017

© 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-10-127-2017

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

Articles | Volume 10, issue 1

Methods for assessment of models

|

09 Jan 2017

Methods for assessment of models |

| 09 Jan 2017

Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0)

Iris Kriest, Volkmar Sauerland, Samar Khatiwala, Anand Srivastav, and Andreas Oschlies

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Final revised paper (published on 09 Jan 2017)
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Preprint (discussion started on 18 Jul 2016)
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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 of Kriest et al', Anonymous Referee #1, 04 Oct 2016
- AC1: 'Reply to referee 1', Iris Kriest, 18 Nov 2016
RC2: 'Referee report for Calibrating a global three-dimensional biogeochemical ocean model by Kriest, I. et al., GMD-discussions, 2016', Momme Butenschön, 21 Oct 2016
- AC2: 'Respinse to referee 2', Iris Kriest, 18 Nov 2016

Peer-review completion

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

AR by Iris Kriest on behalf of the Authors (08 Dec 2016) Author's response Manuscript

ED: Publish as is (14 Dec 2016) by Carlos Sierra

AR by Iris Kriest on behalf of the Authors (15 Dec 2016) Manuscript

Short summary

Global biogeochemical ocean models are subject to a high level of parametric uncertainty. This may be of consequence for their skill with respect to accurately describing features of the present ocean and their sensitivity to possible environmental changes. We present the first results from a framework that combines an offline biogeochemical tracer transport model with an estimation of distribution algorithm, calibrating six biogeochemical model parameters against observed oxygen and nutrients.