This practical guide to real-time streamflow forecasting provides a rigorous description of a coupled stochastic and physically based flow routing method and its practical applications. This method is used in current times of record-breaking floods to forecast flood levels by various Hydrological Forecasting Services.
This practical guide to real-time streamflow forecasting provides a rigorous description of a coupled stochastic and physically based flow routing method and its practical applications. This method is used in current times of record-breaking floods to forecast flood levels by various Hydrological Forecasting Services.
Introduction. Continuous flow routing techniques. State space descriptions of the spatially discretized linear kinematic wave. State space descriptions of the continuous Kalinin Milyukov Nash (KMN) cascade. State space descriptions of the discrete linear cascade model (DLCM) and its properties: the pulse data system approach. The sample data system approach. DLCM and stream aquifer interactions. Handling of model error: the deterministic stochastic model and its prediction updating. Some practical aspects of model application for real time operational forecasting. Summary. Appendix. References. Guide to the exercises.
Introduction. Continuous flow routing techniques. State space descriptions of the spatially discretized linear kinematic wave. State space descriptions of the continuous Kalinin Milyukov Nash (KMN) cascade. State space descriptions of the discrete linear cascade model (DLCM) and its properties: the pulse data system approach. The sample data system approach. DLCM and stream aquifer interactions. Handling of model error: the deterministic stochastic model and its prediction updating. Some practical aspects of model application for real time operational forecasting. Summary. Appendix. References. Guide to the exercises.
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