2015 · 14 citations · 21 references
Natural SciencesEarth SciencesOceanographyOcean ModelingPhysical OceanographyUncertainty QuantificationMarine Ecosystem ModelingNumerical Ocean SimulationProbabilistic ModelingSimulation MethodsStochastic Differential EquationsStochastic Systems ModelingCirculationOcean Circulation ModelsSea Ice ParameterizationStochastic Parameterization
The paper presents a generic implementation to convert a deterministic ocean model such as NEMO into a probabilistic model. The approach incorporates multiple stochastic parameterizations to emulate the non‑deterministic effects of unresolved processes, scales, and diversity. Illustrations with circulation, ecosystem, and sea‑ice models show that uncertainties can markedly alter their dynamics. Abstract.
Abstract. 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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VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
Glenn W. Brier · Monthly Weather Review · 1950 · 5.3K citations
Business, Mathematics, Meteorology +10