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Redouane Lguensat

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Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning

Oct 21, 2023
William Yik, Maike Sonnewald, Mariana C. A. Clare, Redouane Lguensat

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Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables

Nov 18, 2022
J. Emmanuel Johnson, Redouane Lguensat, Ronan Fablet, Emmanuel Cosme, Julien Le Sommer

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Semi-automatic tuning of coupled climate models with multiple intrinsic timescales: lessons learned from the Lorenz96 model

Aug 16, 2022
Redouane Lguensat, Julie Deshayes, Homer Durand, V. Balaji

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Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics

Apr 30, 2022
Mariana C. A. Clare, Maike Sonnewald, Redouane Lguensat, Julie Deshayes, Venkatramani Balaji

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A posteriori learning for quasi-geostrophic turbulence parametrization

Apr 08, 2022
Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat

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A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps

Nov 27, 2021
Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat

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Bridging observation, theory and numerical simulation of the ocean using Machine Learning

Apr 26, 2021
Maike Sonnewald, Redouane Lguensat, Daniel C. Jones, Peter D. Dueben, Julien Brajard, Venkatramani Balaji

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NightVision: Generating Nighttime Satellite Imagery from Infra-Red Observations

Dec 08, 2020
Paula Harder, William Jones, Redouane Lguensat, Shahine Bouabid, James Fulton, Dánell Quesada-Chacón, Aris Marcolongo, Sofija Stefanović, Yuhan Rao, Peter Manshausen, Duncan Watson-Parris

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