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

Jean-Michel Brankart (1) , Guillem Candille (1) , F. Garnier (1) , C. Calone (1) , A. Melet (2) , Pierre-Antoine Bouttier (1) , Pierre Brasseur (1) , J. Verron (1)

1 LGGE - Laboratoire de glaciologie et géophysique de l'environnement
2 AOS Program - Atmospheric and Oceanic Sciences Program [Princeton]

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.

Domaines: Sciences de l'environnement

Jean-Michel Brankart, Guillem Candille, F. Garnier, C. Calone, A. Melet, et al.. A generic approach to explicit simulation of uncertainty in the NEMO ocean model. Geoscientific Model Development, 2015, 8 (5), pp.1285-1297. ⟨10.5194/gmd-8-1285-2015⟩. ⟨insu-01204726⟩