Author(s): D. Swiatek

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Abstract: Data assimilation provides a means for integrating observations of spatially distributed environmental variables with model predictions. In this paper a simple data assimilation technique, the Newtonian nudging to individual observations method, has been implemented in the 1D St. Venant equations. In this method, an improvement of the model with available measurement data is made by adequate weighting functions, that can incorporate prior knowledge about the spatial and temporal variability of the state variables being assimilated. The paper contains a description of the numerical model which employs the finite element method (FEM) to solve the 1D St. Venant equations modified by the ‘nudging' method. The developed model was applied to a 50 km long trapezoidal channel. The observed water level was the subject of the data assimilation. The sensitivity of the model to nudging term parameters including the spatio-temporal influence coefficients in the weighting functions was examined.

DOI:

Year: 2009