Test Models for Filtering with Superparameterization

@article{Harlim2013TestMF,
  title={Test Models for Filtering with Superparameterization},
  author={John Harlim and Andrew J. Majda},
  journal={Multiscale Model. Simul.},
  year={2013},
  volume={11},
  pages={282-308}
}
  • J. Harlim, A. Majda
  • Published 29 January 2013
  • Physics, Environmental Science
  • Multiscale Model. Simul.
Superparameterization is a fast numerical algorithm to mitigate implicit scale separation of dynamical systems with large-scale, slowly varying “mean” and smaller-scale, rapidly fluctuating “eddy” term. The main idea of superparameterization is to embed parallel highly resolved simulations of small-scale eddies on each grid cell of coarsely resolved large-scale dynamics. In this paper, we study the effect of model errors in using superparameterization for filtering multiscale turbulent… 

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