World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
30
Citations
3175
World Ranking
9788
National Ranking
239

Overview

Etienne Mémin is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research primarily spans the fields of Earth and Planetary Sciences and Engineering, with a focus on Atmospheric Science, Computational Mechanics, Oceanography, Global and Planetary Change, and Statistics, Probability and Uncertainty.

The scientist's work addresses several main topics, including Meteorological Phenomena and Simulations, Fluid Dynamics and Turbulent Flows, Oceanographic and Atmospheric Processes, Probabilistic and Robust Engineering Design, Climate variability and models, Model Reduction and Neural Networks, and Reservoir Engineering and Simulation Methods.

Etienne Mémin has published extensively across a number of scientific venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Journal of Advances in Modeling Earth Systems
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Physical Oceanography
  • Journal of Mathematical Fluid Mechanics

Among notable recent papers are:

  • "4D large scale variational data assimilation of a turbulent flow with a dynamics error model," 2020, Journal of Computational Physics
  • "Deciphering the Role of Small-Scale Inhomogeneity on Geophysical Flow Structuration: A Stochastic Approach," 2020, Journal of Physical Oceanography
  • "New Trends in Ensemble Forecast Strategy: Uncertainty Quantification for Coarse-Grid Computational Fluid Dynamics," 2020, Archives of Computational Methods in Engineering
  • "Stochastic Data-Driven Parameterization of Unresolved Eddy Effects in a Baroclinic Quasi-Geostrophic Model," 2023, Journal of Advances in Modeling Earth Systems
  • "Stochastic representation of mesoscale eddy effects in coarse-resolution barotropic models," 2020, Ocean Modelling

The scientist has authored books published by Springer International Publishing, including "Stochastic Transport in Upper Ocean Dynamics" (2022) and its sequel "Stochastic Transport in Upper Ocean Dynamics II" (2023).

Collaboration is a significant aspect of their work, with frequent coauthors including:

  • Long Li
  • Bertrand Chapron
  • Gilles Tissot
  • Dan Crisan
  • Arnaud Debussche

Best Publications

  • Dense estimation of fluid flows

    T. Corpetti;E. Memin;P. Perez

  • Dense estimation and object-based segmentation of the optical flow with robust techniques

    E. Memin;P. Perez

  • Fluid experimental flow estimation based on an Optical-flow scheme

    T. Corpetti;D. Heitz;G. Arroyo;E. Mémin

  • Variational fluid flow measurements from image sequences: synopsis and perspectives

    Dominique Heitz;Etienne Mémin;Christoph Schnörr

  • Hierarchical Estimation and Segmentation of Dense Motion Fields

    Etienne Mémin;Patrick Pérez

  • Hierarchical estimation of a dense deformation field for 3-D robust registration

    P. Hellier;C. Barillot;E. Memin;P. Perez

  • A multigrid approach for hierarchical motion estimation

    E. Memin;P. Perez

  • Data assimilation with the weighted ensemble Kalman filter

    Nicolas Papadakis;Etienne Mémin;Anne Cuzol;Nicolas Gengembre

  • Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation

    Jing Yuan;Christoph Schnörr;Etienne Mémin

  • Fluid flow dynamics under location uncertainty

    Etienne Mémin

  • Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation

    A. Gronskis;D. Heitz;E. MéMin

  • Layered Estimation of Atmospheric Mesoscale Dynamics From Satellite Imagery

    P. Heas;E. Memin;N. Papadakis;A. Szantai

  • Variational Assimilation of Fluid Motion from Image Sequence

    Nicolas Papadakis;Étienne Mémin

  • Study of the flow induced by a sliding discharge

    R. Sosa;E. Arnaud;E. Memin;G. Artana

  • Extraction of Singular Points from Dense Motion Fields: An Analytic Approach

    T. Corpetti;E. Mémin;P. Pérez

  • Conditional filters for image sequence-based tracking - application to point tracking

    E. Arnaud;E. Memin;B. Cernuschi-Frias

  • A Low Dimensional Fluid Motion Estimator

    Anne Cuzol;Pierre Hellier;Etienne Mémin

  • Dynamic consistent correlation-variational approach for robust optical flow estimation

    D. Heitz;P. Héas;P. Héas;E. Mémin;J. Carlier

  • Geophysical flows under location uncertainty, Part I Random transport and general models

    Valentin Resseguier;Etienne Mémin;Bertrand Chapron

  • 4D large scale variational data assimilation of a turbulent flow with a dynamics error model

    Pranav Chandramouli;Etienne Memin;Dominique Heitz

  • Motion estimation under location uncertainty for turbulent fluid flows

    Shengze Cai;Etienne Mémin;Pierre Dérian;Chao Xu

  • Pressure image assimilation for atmospheric motion estimation

    Thomas Corpetti;Patrick Héas;Etienne Mémin;Nicolas Papadakis

  • Variational dense motion estimation using the Helmholtz decomposition

    Timo Kohlberger;Étienne Mémin;Christoph Schnörr

  • Tracking and Characterization of Highly Deformable Cloud Structures

    Christophe Papin;Patrick Bouthemy;Étienne Mémin;Guy Rochard

  • Large scale flows under location uncertainty: a consistent stochastic framework

    Bertrand Chapron;Pierre Dérian;Etienne Mémin;Valentin Resseguier;Valentin Resseguier

  • Dynamically consistent optical flow estimation

    Unknown

  • Wavelets and Optical Flow Motion Estimation

    Pierre Dérian;Patrick Héas;Cédric Herzet;Etienne Mémin

  • POD-spectral decomposition for fluid flow analysis and model reduction

    Ada Cammilleri;Florimond Guéniat;Johan Carlier;Luc Pastur

  • Strong and weak constraint variational assimilations for reduced order fluid flow modeling

    G. Artana;A. Cammilleri;J. Carlier;E. Mémin

  • Discrete orthogonal decomposition and variational fluid flow estimation

    Jing Yuan;Paul Ruhnau;Etinne Mémin;Christoph Schnörr

Frequent Co-Authors

Bertrand Chapron
Bertrand Chapron French Research Institute for Exploitation of the Sea
Sylvain Laizet
Sylvain Laizet Imperial College London
Christoph Schnörr
Christoph Schnörr Heidelberg University
Patrick Bouthemy
Patrick Bouthemy French Institute for Research in Computer Science and Automation - INRIA
Christian Barillot
Christian Barillot Institut de Recherche en Informatique et Systèmes Aléatoires
Ioannis Pratikakis
Ioannis Pratikakis Democritus University of Thrace
André V. G. Cavalieri
André V. G. Cavalieri Instituto Tecnológico de Aeronáutica

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