Data assimilation in a flood modelling system using the ensemble Kalman filter

Henrik Madsen, Johan Hartnack, Jacob Tornfeldt Sørensen & Henrik Madsen
Data assimilation in a combined 1D-2D numerical flood modelling system is considered. The model is based on a dynamic linking between existing and well- established 1D and a 2D numerical modelling systems enhanced with new features which are targeted specifically towards modelling of floods. This combination ensures a maximum of flexibility by allowing modelling some areas in 2D detail (floodplain), while other areas can be modelled in 1D (river network). For this combined modelling system...
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