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

In this paper, a 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 pro...

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Bibliographic Details
Published in:Geoscientific Model Development
Main Authors: Brankart, J.-M., Candille, G., Garnier, F., Calone, C., Melet, A., Bouttier, P.-A., Brasseur, P., Verron, J.
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2015
Subjects:
article
Verlagsveröffentlichung
Sea ice
Online Access:https://doi.org/10.5194/gmd-8-1285-2015
https://noa.gwlb.de/receive/cop_mods_00016669
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00016624/gmd-8-1285-2015.pdf
https://gmd.copernicus.org/articles/8/1285/2015/gmd-8-1285-2015.pdf
Description
Summary:In this paper, a 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 circulation model, in the ecosystem model, and in the sea ice model. These examples show that uncertainties can produce an important effect in the simulations, strongly modifying the dynamical behaviour of these three components of ocean systems.

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