Mechanistic site-based emulation of a global ocean biogeochemical model (MEDUSA 1.0) for parametric analysis and calibration: an application of the Marine Model Optimization Testbed (MarMOT 1.1)

Hemmings, J. C. P.; Challenor, P. G.; Yool, A.

doi:https://doi.org/10.5194/gmd-8-697-2015

Articles | Volume 8, issue 3

https://doi.org/10.5194/gmd-8-697-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-697-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 3

Methods for assessment of models

|

23 Mar 2015

Methods for assessment of models |

| 23 Mar 2015

Mechanistic site-based emulation of a global ocean biogeochemical model (MEDUSA 1.0) for parametric analysis and calibration: an application of the Marine Model Optimization Testbed (MarMOT 1.1)

J. C. P. Hemmings, P. G. Challenor, and A. Yool

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Final revised paper (published on 23 Mar 2015)
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Preprint (discussion started on 25 Sep 2014)
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Interactive discussion

Status: closed

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

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SC C2034: 'Exec Editor Comments', Dan Lunt, 17 Oct 2014
- AC C2059: 'Response to Exec Editor Comments', John Hemmings, 20 Oct 2014
RC C2307: 'This is a fine but complex study. The text is comprehensive but extensive. Hemmings, Challenor and Yool approach an important but difficult topic.', Markus Schartau, 17 Nov 2014
RC C2539: 'Review - Hemmings et al.', Anonymous Referee #2, 01 Dec 2014

Peer-review completion

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

AR by John Hemmings on behalf of the Authors (27 Jan 2015) Author's response

ED: Publish as is (16 Feb 2015) by Sandra Arndt

Short summary

Effective calibration of global models is inhibited by the computational demands of 3-D simulations. As a solution for the NEMO-MEDUSA model, we present an efficient emulator of surface chlorophyll as a function of MEDUSA’s biogeochemical parameters. The emulator comprises an array of site-based 1-D simulators and a quantification of uncertainty in their predictions. It is able to produce robust probabilistic estimates of 3-D model output rapidly for comparison with satellite chlorophyll.