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Volume 8, issue 5
Geosci. Model Dev., 8, 1285–1297, 2015
https://doi.org/10.5194/gmd-8-1285-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Nucleus for European Modelling of the Ocean - NEMO

Geosci. Model Dev., 8, 1285–1297, 2015
https://doi.org/10.5194/gmd-8-1285-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 04 May 2015

Model description paper | 04 May 2015

A generic approach to explicit simulation of uncertainty in the NEMO ocean model

J.-M. Brankart et al.
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Achatz, U., Löbl, U., Dolaptchiev, S. I., and Gritsun, A.: Fluctuation-dissipation supplemented by nonlinearity: a climate-dependent subgrid-scale parameterization in low-order climate models, J. Atmos. Sci., 70, 1833–1846, 2013.
Arhonditsis, G. B., Perhar, G., Zhang, W., Massos, E., Shi, M., and Das, A.: Addressing equifinality and uncertainty in eutrophication models, Water Resour. Res., 44, W01420, https://doi.org/10.1029/2007WR005862, 2008.
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Berloff, P.: On rectification of randomly forced flows, J. Mar. Res., 63, 497–527, https://doi.org/10.1357/0022240054307894, 2005.
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In this paper, a simple and generic implementation approach is presented, with the aim of transforming a deterministic ocean model (like NEMO) into a probabilistic model. With this approach, several kinds of stochastic parameterizations are implemented to simulate the non-deterministic effect of unresolved processes, unresolved scales, and unresolved diversity. The method is illustrated with three applications, showing that uncertainties can produce a major effect in the model simulations.
In this paper, a simple and generic implementation approach is presented, with the aim of...
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