activity
20242026
collaborators

8 papers

math.PR2026

Well-posedness of a stochastic Navier-Stokes system with dynamically coupled subgrid scales

Arnaud Debussche, Etienne Mémin, Sébastien Moskowitz

We study a stochastic Navier--Stokes system in which the spatial modes of the transport noise evolve dynamically and are coupled to the resolved velocity. The model couples a Navie…

physics.flu-dyn2026

Stochastic Transport and Wave Interactions for Multiscale Surface Gravity Waves: Part II: Kinetic Theory and Ocean-Wave Applications

E. Mémin, B. Chapron, A. Debussche +1

Building on the stochastic variational framework established in the companion paper, we investigate here the linearized stochastic water-wave system, consisting of a large-scale st…

math-ph2026

Coupled stochastic variational principles for multiscale surface gravity waves -- Part I: theoretical framework

Etienne Mémin, Arnaud Debussche

This paper develops a comprehensive stochastic variational framework for surface gravity waves. Starting from Luke's variational principle for irrotational, incompressible free-sur…

math.AP2026

Interpretation of stochastic primitive equations with relaxed hydrostatic assumption as a higher order approximation of 3D stochastic Navier-Stokes

Arnaud Debussche, Étienne Mémin, Antoine Moneyron

In this paper, we investigate the convergence of solutions of a stochastic representation of the three-dimensional Navier-Stokes equations to those of their primitive equations cou…

math.AP2025

Stochastic interpretations of the oceanic primitive equations with relaxed hydrostatic assumptions

Arnaud Debussche, Étienne Mémin, Antoine Moneyron

In this paper, we investigate how weakening the classical hydrostatic balance hypothesis impacts the well-posedness of the stochastic LU primitive equations. The models we consider…

physics.flu-dyn2024

Variational principles for fully coupled stochastic fluid dynamics across scales

Arnaud Debussche, Etienne Mémin

This work investigates variational frameworks for modeling stochastic dynamics in incompressible fluids, focusing on large-scale fluid behavior alongside small-scale stochastic pro…

math.PR2024

Derivation of stochastic models for coastal waves

Arnaud Debussche, Étienne Mémin, Antoine Moneyron

In this paper, we consider a stochastic nonlinear formulation of classical coastal waves models under location uncertainty (LU). In the formal setting investigated here, stochastic…

math.PR2024

Some properties of a non-hydrostatic stochastic oceanic primitive equations model

Arnaud Debussche, Étienne Mémin, Antoine Moneyron

In this paper, we study how relaxing the classical hydrostatic balance hypothesis affects theoretical aspects of the LU primitive equations well-posedness. We focus on models that…