Real-Time Dynamic Flood Routing with NWS FLDWAV Model Using Kalman Filter Updatingby D. L. Fread, Natl Weather Service, Silver Spring, United States,
Ming Jin, Natl Weather Service, Silver Spring, United States,
Abstract: Dynamic flood routing model based on the four-point implicit finite-difference solution of the complete one-dimensional Saint-Venant equations of unsteady flow are inherently deterministic. Such a model (FLDWAV) developed by the National Weather Service for real-time flood forecasting has been enhanced with a stochastic estimator based on an extended Kalman filter to provide optimal updating capabilities utilizing real-time observed river stages. The stochastic enhancement is described, and selected applications of the enhanced model spanning a wide range of unsteady flows are presented.
Subject Headings: Flood routing | Hydrologic models | Mathematical models | Dynamic models | Stochastic processes | Kalman filters | Filters | Finite difference method
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