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• W2090972401 startingPage "409" @default.
• W2090972401 abstract "This article presents the comparison of two algorithms for data assimilation of two dimensional shallow water flows. The first algorithm is based on a linearization of the model equations and a quadratic programming (QP) formulation of the problem. The second algorithm uses Ensemble Kalman Filtering (EnKF) applied to the non-linear two dimensional shallow water equations. The two methods are implemented on a scenario in which boundary conditions and Lagrangian measurements are available. The performance of the methods is evaluated using twin experiments with experimentally measured bathymetry data and boundary conditions from a river located in the Sacramento Delta. The sensitivity of the algorithms to the number of drifters, low or high discharge and time sampling frequency is studied." @default.
• W2090972401 created "2016-06-24" @default.
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• W2090972401 date "2009-01-01" @default.
• W2090972401 modified "2023-09-28" @default.
• W2090972401 title "Comparison of two data assimilation algorithms for shallow water flows" @default.
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• W2090972401 doi "https://doi.org/10.3934/nhm.2009.4.409" @default.
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