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Data assimilation and sensitivity of the Black Sea model to parameters

Eugene Kazantsev 1 
1 MOISE - Modelling, Observations, Identification for Environmental Sciences
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : An adjoint based technique is applied to a Shallow Water Model in order to estimate influence of the model's parameters on the solution. Among parameters the bottom topography, initial conditions, boundary conditions on rigid boundaries, viscosity coefficients and the amplitude of the wind stress tension are considered. Their influence is analyzed from different points of view. Two configurations have been analyzed: an academic case of the model in a square box and a more realistic case simulating Black Sea currents. It is shown in both experiments that the boundary conditions near a rigid boundary influence the most the solution. This fact points out the necessity to identify optimal boundary approximation during a model development.
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Submitted on : Monday, December 19, 2011 - 10:50:08 AM
Last modification on : Thursday, January 20, 2022 - 5:28:09 PM
Long-term archiving on: : Tuesday, March 20, 2012 - 2:20:51 AM


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  • HAL Id : hal-00651187, version 1
  • ARXIV : 1112.4293



Eugene Kazantsev. Data assimilation and sensitivity of the Black Sea model to parameters. Hydrodynamical Modelling of the Black Sea, Marine Hydrophys. Inst., Nat. Ac. Sci. Ukraine, Sep 2011, Sevastopol, Ukraine. ⟨hal-00651187⟩



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