Data Driven Stochastic Primitive Equations with Dynamic Modes Decomposition
摘要
As planetary flows are characterised by interaction of phenomenons in a huge range of scales, it is unaffordable today to resolve numerically the complete ocean dynamics. In this work, a stochastic version of primitive equations are implemented into the NEMO community ocean model to assess the capability of the so-called Location Uncertainty framework in representing the small scales of the ocean flows.