Corpus ID: 237532181

Super-resolution data assimilation

@article{Barthelemy2021SuperresolutionDA,
  title={Super-resolution data assimilation},
  author={S'ebastien Barth'el'emy and Julien Brajard and Laurent Bertino and Francçois Counillon},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.08017}
}
Increasing the resolution of a model can improve the performance of a data assimilation system: first because model field are in better agreement with high resolution observations, then the corrections are better sustained and, with ensemble data assimilation, the forecast error covariances are improved. However, resolution increase is associated with a cubical increase of the computational costs. Here we are testing an approach inspired from images super-resolution techniques and called "Super… Expand

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