1 citations · 2 across the 4 of their papers we have counts for
4 papers
Stochastic compressible Navier-Stokes equations under location uncertainty and their approximations for ocean modelling
Gilles Tissot, Étienne Mémin, Quentin Jamet
This paper presents a joint theoretical and numerical study of a stochastic version of the compressible Navier-Stokes equations within the location uncertainty (LU) framework, appl…
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…
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…
Ensemble forecasts in reproducing kernel Hilbert space family
Benjamin Dufée, Bérenger Hug, Etienne Mémin +1
A methodological framework for ensemble-based estimation and simulation of high dimensional dynamical systems such as the oceanic or atmospheric flows is proposed. To that end, the…