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Optimal Boundary Discretization by Variational Data Assimilation

Eugene Kazantsev 1
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019], LJK [2007-2015] - Laboratoire Jean Kuntzmann [2007-2015], Inria Grenoble - Rhône-Alpes
Abstract : Variational data assimilation technique applied to the identification of the optimal discretization of interpolation operators and derivatives in the nodes adjacent to the boundary of the domain is discussed in frames of the linear shallow water model. The advantage of controlling the discretization of operators near boundary rather than boundary conditions is shown. Assimilating data produced by the same model on a finer grid in a model on a coarse grid, we have shown that optimal discretization allows us to correct such errors of the numerical scheme as under-resolved boundary layer and wrong wave velocity.
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Eugene Kazantsev. Optimal Boundary Discretization by Variational Data Assimilation. International Journal for Numerical Methods in Fluids, Wiley, 2011, 65 (10), pp.1231-1259. ⟨10.1002/fld.2240⟩. ⟨inria-00388862⟩

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