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

AR by John Hemmings on behalf of the Authors (16 Feb 2015) Manuscript

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.