One size fits all? Calibrating an ocean biogeochemistry model for different circulations

Kriest, Iris; Kähler, Paul; Koeve, Wolfgang; Kvale, Karin; Sauerland, Volkmar; Oschlies, Andreas

doi:https://doi.org/10.5194/bg-17-3057-2020

Articles | Volume 17, issue 12

https://doi.org/10.5194/bg-17-3057-2020

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

https://doi.org/10.5194/bg-17-3057-2020

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

Articles | Volume 17, issue 12

Research article

|

18 Jun 2020

Research article |

| 18 Jun 2020

One size fits all? Calibrating an ocean biogeochemistry model for different circulations

Iris Kriest, Paul Kähler, Wolfgang Koeve, Karin Kvale, Volkmar Sauerland, and Andreas Oschlies

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Final revised paper (published on 18 Jun 2020)
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Preprint (discussion started on 12 Feb 2020)
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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., "One size fits all? – Calibrating an ocean biogeochemistry model for different circulations"', Anonymous Referee #1, 10 Mar 2020
- AC1: 'Reply to referee 1', Iris Kriest, 06 Apr 2020
RC2: 'Review of "One Size Fits All?"', Anonymous Referee #2, 19 Mar 2020
- AC2: 'Reply to referee 2', Iris Kriest, 06 Apr 2020

Peer-review completion

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

ED: Reconsider after major revisions (08 Apr 2020) by Marilaure Grégoire

AR by Iris Kriest on behalf of the Authors (21 Apr 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (29 Apr 2020) by Marilaure Grégoire

RR by Anonymous Referee #1 (07 May 2020)

ED: Publish as is (15 May 2020) by Marilaure Grégoire

AR by Iris Kriest on behalf of the Authors (20 May 2020)

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Short summary

Constants of global biogeochemical ocean models are often tuned by hand to match observations of nutrients or oxygen. We investigate the effect of this tuning by optimising six constants of a global biogeochemical model, simulated in five different offline circulations. Optimal values for three constants adjust to distinct features of the circulation applied and can afterwards be swapped among the circulations, without losing too much of the model's fit to observed quantities.