1 citations · 3 across the 6 of their papers we have counts for
6 papers
Linear wave solutions of a stochastic shallow water model
Etienne Mémin, Long Li, Noé Lahaye +2
In this paper, we investigate the wave solutions of a stochastic rotating shallow water model. This approximate model provides an interesting simple description of the interplay be…
Comparison of Stochastic Parametrization Schemes using Data Assimilation on Triad Models
Bertrand Chapron, Dan Crisan, Darryl Holm +3
In recent years, stochastic parametrizations have been ubiquitous in modelling uncertainty in fluid dynamics models. One source of model uncertainty comes from the coarse graining…
Input-output analysis of the stochastic Navier-Stokes equations: application to turbulent channel flow
Gilles Tissot, André Cavalieri, Etienne Mémin
Stochastic linear modelling proposed in Tissot, Mémin & Cavalieri (J. Fluid Mech., vol. 912, 2021, A51) is based on classical conservation laws subject to a stochastic transport. O…
Stochastic data-driven parameterization of unresolved mesoscale eddies
Long Li, Bruno Deremble, Noé Lahaye +1
In this work, a stochastic representation based on a physical transport principle is proposed to account for mesoscale eddy effects on the large-scale oceanic circulation. This sto…
Hamiltonian formulation of the stochastic surface wave problem
Evgueni Dinvay, Etienne Memin
We devise a stochastic Hamiltonian formulation of the water wave problem. This stochastic representation is built within the framework of the modelling under location uncertainty.…
Stochastic representation of the Reynolds transport theorem: revisiting large-scale modeling
S. Kadri Harouna, E. Mémin
We explore the potential of a formulation of the Navier-Stokes equations incorporating a random description of the small-scale velocity component. This model, established from a ve…