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Julien Brajard

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Nansen Center, Thormøhlensgate 47, Bergen, Norway, Sorbonne University, CNRS-IRD-MNHN, LOCEAN, Paris, France

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

Mar 18, 2023
Sibo Cheng, Cesar Quilodran-Casas, Said Ouala, Alban Farchi, Che Liu, Pierre Tandeo, Ronan Fablet, Didier Lucor, Bertrand Iooss, Julien Brajard, Dunhui Xiao, Tijana Janjic, Weiping Ding, Yike Guo, Alberto Carrassi, Marc Bocquet, Rossella Arcucci

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Learning 4DVAR inversion directly from observations

Nov 17, 2022
Arthur Filoche, Julien Brajard, Anastase Charantonis, Dominique Béréziat

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Super-resolution data assimilation

Sep 04, 2021
Sébastien Barthélémy, Julien Brajard, Laurent Bertino, François Counillon

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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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Fusion of rain radar images and wind forecasts in a deep learning model applied to rain nowcasting

Jan 12, 2021
Vincent Bouget, Dominique Béréziat, Julien Brajard, Anastase Charantonis, Arthur Filoche

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Combining data assimilation and machine learning to infer unresolved scale parametrisation

Sep 09, 2020
Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino

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Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning

Jan 17, 2020
Marc Bocquet, Julien Brajard, Alberto Carrassi, Laurent Bertino

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Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model

Jan 06, 2020
Julien Brajard, Alberto Carassi, Marc Bocquet, Laurent Bertino

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Representing ill-known parts of a numerical model using a machine learning approach

Mar 18, 2019
Julien Brajard, Anastase Charantonis, Jérôme Sirven

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