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. Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model. J. Comput. Science, 44:101171, 2020. [doi]

@article{BrajardCBB20,
  title = {Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: A case study with the Lorenz 96 model},
  author = {Julien Brajard and Alberto Carrassi and Marc Bocquet and Laurent Bertino},
  year = {2020},
  doi = {10.1016/j.jocs.2020.101171},
  url = {https://doi.org/10.1016/j.jocs.2020.101171},
  researchr = {https://researchr.org/publication/BrajardCBB20},
  cites = {0},
  citedby = {0},
  journal = {J. Comput. Science},
  volume = {44},
  pages = {101171},
}