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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

Julien Brajard, Alberto Carrassi, Marc Bocquet, Laurent Bertino

2020Journal of Computational Science201 citationsDOIOpen Access PDF

Topics & Concepts

Data assimilationComputer scienceChaoticArtificial neural networkMachine learningArtificial intelligenceConvergence (economics)AlgorithmLyapunov exponentLorenz systemKalman filterNoise (video)Surrogate modelSurrogate dataData setSensitivity (control systems)Ensemble Kalman filterTraining setBackpropagationMathematical optimizationLyapunov functionEnsemble forecastingBenchmark (surveying)Set (abstract data type)Data pointNoisy dataEnsemble learningTest dataStatistical modelModel Reduction and Neural NetworksMeteorological Phenomena and SimulationsProbabilistic and Robust Engineering Design
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