# 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} }

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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