Primitive Equations Under Location Uncertainty: Analytical Description and Model Development
Francesco L. Tucciarone, Étienne Mémin, Long Li
Abstract
Abstract Resolving numerically all the scale interactions of ocean dynamics in a high resolution realistic configuration is today far beyond reach, and only large scale representations can be afforded. In this work, we study a stochastic parameterization of the ocean primitive equations derived within the modelling under location uncertainty framework. First numerical assessments built with the NEMO core’s code are provided for a double-gyres configuration.
Topics & Concepts
Ocean gyreScale (ratio)Code (set theory)Computer scienceCore (optical fiber)Work (physics)Statistical physicsApplied mathematicsMathematicsGeographyPhysicsEngineeringCartographyEcologyMechanical engineeringProgramming languageTelecommunicationsSubtropicsBiologySet (abstract data type)Reservoir Engineering and Simulation MethodsOceanographic and Atmospheric ProcessesMeteorological Phenomena and Simulations