Valentin Resseguier
Valentin Resseguier
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Geophysical flows under location uncertainty, Part I Random transport and general models
V Resseguier, E Mémin, B Chapron
Geophysical & Astrophysical Fluid Dynamics 111 (3), 149-176, 2017
Geophysical flows under location uncertainty, Part II Quasi-geostrophy and efficient ensemble spreading
V Resseguier, E Mémin, B Chapron
Geophysical & Astrophysical Fluid Dynamics 111 (3), 177-208, 2017
Geophysical flows under location uncertainty, Part III SQG and frontal dynamics under strong turbulence conditions
V Resseguier, E Mémin, B Chapron
Geophysical & Astrophysical Fluid Dynamics 111 (3), 209-227, 2017
Large‐scale flows under location uncertainty: a consistent stochastic framework
B Chapron, P Dérian, E Mémin, V Resseguier
Quarterly Journal of the Royal Meteorological Society 144 (710), 251-260, 2018
Stochastic modelling and diffusion modes for proper orthogonal decomposition models and small-scale flow analysis
V Resseguier, E Mémin, D Heitz, B Chapron
Journal of Fluid Mechanics 826, 888-917, 2017
New trends in ensemble forecast strategy: uncertainty quantification for coarse-grid computational fluid dynamics
V Resseguier, L Li, G Jouan, P Dérian, E Mémin, B Chapron
Archives of Computational Methods in Engineering 28 (1), 215-261, 2021
Mixing and fluid dynamics under location uncertainty
V Resseguier
Université Rennes 1, 2017
Data-driven versus self-similar parameterizations for stochastic advection by Lie transport and location uncertainty
V Resseguier, W Pan, B Fox-Kemper
Nonlinear Processes in Geophysics 27 (2), 209-234, 2020
Reduced flow models from a stochastic Navier-Stokes representation
V Resseguier, E Mémin, B Chapron
Annales de l'ISUP 59 (1-2), 57-85, 2015
Geophysical flows under location uncertainty
V Resseguier, E Mémin, B Chapron
Part I-Random transport and general model, 2016
Stochastic fluid dynamic model and dimensional reduction
V Resseguier, E Mémin, B Chapron
Ninth International Symposium on Turbulence and Shear Flow Phenomena, 2015
Real-time algorithm to estimate and predict unsteady flows from few measurements using reduced-order models
V Resseguier, M Ladvig, D Heitz
Quantifying truncation-related uncertainties in unsteady fluid dynamics reduced order models
V Resseguier, AM Picard, E Mémin, B Chapron
SIAM/ASA Journal on Uncertainty Quantification 9 (3), 1152-1183, 2021
Comment améliorer le rendement des éoliennes?
V Resseguier
Interstices, 2022
Effects of smooth divergence-free flows on tracer gradients and spectra: Eulerian prognosis description
V Resseguier, B Chapron, E Memin
Journal of Physical Oceanography 52 (1), 53-74, 2022
Fluid flow data assimilation from reduced order models and sparse measurements
P Jacquet, G Lepape, A Moneyron, V Resseguier, G Stabile, L Bessard
RAMSES: Reduced order models; Approximation theory; Machine learning …, 2021
Reducing wind energy costs by improving control loops and real-time unsteady air flow prediction
V Resseguier
Floating Offshore Wind Turbine (FOWT) 2021, 2021
Real-time unsteady air flow prediction to reduces mechanic load variations and wind turbine maintenance costs
V Resseguier, M Ladvig, AM Picard, E Mémin, D Heitz, D Voisin, C Braud
SEANERGY 2021-International leading event on offshore wind and marine …, 2021
Validity domains and parametrizations for white-noise and multiscale models in turbulence and wave-turbulence interactions
V Resseguier, E Hascoet, B Chapron, B Fox-Kemper
European Geophysical Union (EGU) 2021, 2021
Dynamics under location uncertainty
V Resseguier, A Picard, M Ladvig, W Pan, B Fox-Kemper, E Hascoet, ...
Journee des laureats du prix de these SMAI-GAMNI, 2021
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