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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 BrajardAlberto CarrassiMarc BocquetLaurent Bertino
Published in: J. Comput. Sci. (2020)
Keyphrases
  • machine learning
  • dynamical model
  • noisy observations
  • image processing
  • kalman filter
  • autoregressive
  • subject specific
  • feature selection
  • markov random field
  • single image
  • appearance model
  • simulation model