no code implementations • 17 Nov 2023 • Said Ouala, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
Most of these efforts in defining hybrid dynamical systems follow {offline} learning strategies in which the neural parameterization (called here sub-model) is trained to output an ideal correction.
1 code implementation • 23 Nov 2022 • Ronan Fablet, Bertrand Chapron, Julien Le Sommer, Florian Sévellec
This is however limited to the surface-constrained geostrophic component of sea surface velocities.
no code implementations • 29 Sep 2022 • Nicolae-Cătălin Ristea, Andrei Anghel, Mihai Datcu, Bertrand Chapron
Spaceborne synthetic aperture radar (SAR) can provide accurate images of the ocean surface roughness day-or-night in nearly all weather conditions, being an unique asset for many geophysical applications.
1 code implementation • 4 Jul 2022 • Ronan Fablet, Quentin Febvre, Bertrand Chapron
We introduce a trainable multimodal inversion scheme for the reconstruction of sea surface dynamics from multi-source satellite-derived observations.
no code implementations • 9 Apr 2022 • Nicolae-Catalin Ristea, Andrei Anghel, Mihai Datcu, Bertrand Chapron
Overall, we encourage the development of data centring approaches, showing that, data preprocessing could bring significant performance improvements over existing deep learning models.
1 code implementation • 20 Mar 2022 • Ronan Fablet, Bertrand Chapron
For numerous earth observation applications, one may benefit from various satellite sensors to address the reconstruction of some process or information of interest.
no code implementations • 11 Feb 2022 • Said Ouala, Steven L. Brunton, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
The complexity of real-world geophysical systems is often compounded by the fact that the observed measurements depend on hidden variables.
no code implementations • 11 May 2021 • Said Ouala, Laurent Debreu, Ananda Pascual, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
Inevitably, a numerical simulation of a differential equation will then always be distinct from a true analytical solution.
no code implementations • 11 Mar 2021 • Alex Ayet, Bertrand Chapron, Peter Sutherland, Gabriel G. Katul
Originally suggested on purely dimensional grounds, this roughness length does not directly correspond to a measurable physical quantity of the wind-and-wave system.
Fluid Dynamics Atmospheric and Oceanic Physics
2 code implementations • 25 Jul 2020 • Ronan Fablet, Bertrand Chapron, Lucas. Drumetz, Etienne Memin, Olivier Pannekoucke, Francois Rousseau
Intriguingly, we also show that the variational models issued from the true Lorenz-63 and Lorenz-96 ODE representations may not lead to the best reconstruction performance.
1 code implementation • 4 Jul 2019 • Said Ouala, Duong Nguyen, Lucas. Drumetz, Bertrand Chapron, Ananda Pascual, Fabrice Collard, Lucile Gaultier, Ronan Fablet
This paper addresses the data-driven identification of latent dynamical representations of partially-observed systems, i. e., dynamical systems for which some components are never observed, with an emphasis on forecasting applications, including long-term asymptotic patterns.