35 citations · 72 across the 9 of their papers we have counts for
9 papers
Analytical Properties for a Stochastic Rotating Shallow Water Model under Location Uncertainty
Oana Lang, Dan Crisan, Etienne Mémin
The rotating shallow water model is a simplification of oceanic and atmospheric general circulation models that are used in many applications such as surge prediction, tsunami trac…
Modified (hyper-)viscosity for coarse-resolution ocean models
Louis Thiry, Long Li, Etienne Mémin
We present a simple parameterization for coarse-resolution ocean models. To replace computationally expensive high-resolution ocean models, we develop a computationally cheap param…
Bridging Koopman Operator and time-series auto-correlation based Hilbert-Schmidt operator
Yicun Zhen, Bertrand Chapron, Etienne Mémin
Given a stationary continuous-time process , the Hilbert-Schmidt operator can be defined for every finite \cite{Vautard1989SingularSA}. Let be the eigenval…
Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series
Karim Makki, Jean François Lecomte, Lukas Fuchs +2
Image-based computational fluid dynamics have long played an important role in leveraging knowledge and understanding of several physical phenomena. In particular, probabilistic co…
Rotating shallow water flow under location uncertainty with a structure-preserving discretization
Rüdiger Brecht, Long Li, Werner Bauer +1
We introduce a physically relevant stochastic representation of the rotating shallow water equations. The derivation relies mainly on a stochastic transport principle and on a deco…
A model under location uncertainty to predict the mean velocity in wall bounded flows
Benoit Pinier, Etienne Mémin, Sylvain Laizet +1
To date no satisfying model exists to explain the mean velocity profile within the whole turbulent layer of canonical wall bounded flows. We propose a modification of the velocity…
A particle filter to reconstruct a free-surface flow from a depth camera
Benoit Combès, Dominique Heitz, Anthony Guibert +1
We investigate the combined use of a Kinect depth sensor and of a stochastic data assimilation method to recover free-surface flows. More specifically, we use a Weighted ensemble K…
Evaluation of an ensemble-based incremental variational data assimilation
Yin Yang, Cordelia Robinson, Dominique Heitz +1
In this work, we aim at studying ensemble based optimal control strategies for data assimilation. Such formulation nicely combines the ingredients of ensemble Kalman filters and va…
Monte Carlo fixed-lag smoothing in state-space models
Anne Cuzol, Etienne Mémin
This paper presents an algorithm for Monte Carlo fixed-lag smoothing in state-space models defined by a diffusion process observed through noisy discrete-time measurements. Based o…