Articles | Volume 8, issue 3
https://doi.org/10.5194/gmd-8-697-2015
https://doi.org/10.5194/gmd-8-697-2015
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

Viewed

Total article views: 5,567 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,740 2,631 196 5,567 388 213 260
  • HTML: 2,740
  • PDF: 2,631
  • XML: 196
  • Total: 5,567
  • Supplement: 388
  • BibTeX: 213
  • EndNote: 260
Views and downloads (calculated since 25 Sep 2014)
Cumulative views and downloads (calculated since 25 Sep 2014)
Latest update: 22 Mar 2026
Download
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.
Share