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Validation and Intercomparison of Different Updating Procedures for Real-Time Forecasting
Validation and Intercomparison Updating Procedures Real-Time Forecasting
2009/10/23
The paper presents a classification and a review of the updating procedures currently
used in real-time flood fo~ecastingm odelling. On the basis of results from
the WMO project 'Simulated Real-Time...
Assessing the performance of eight real-time updating models and procedures for the Brosna River
Brosna River Galway River Flow Modelling and Forecasting System Neural Network Updating Linear Transfer Function
2009/5/18
The flow forecasting performance of eight updating models, incorporated in the Galway River Flow Modelling and Forecasting System (GFMFS), was assessed using daily data (rainfall, evaporation and disc...
Technical Note：Updating procedure for flood forecasting with conceptual HBV-type models
flood forecasting conceptual HBV-type models rainfall-runoff model
2009/5/15
Flood forecasting is of increasing importance as it comes to an increasing variability in global and local climates. But rainfall-runoff models are far from being perfect. In order to achieve a better...
Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages
flood forecasting system rainfall-runoff
2009/4/28
Two of the most relevant components of any flood forecasting system, namely the rainfall-runoff and flood inundation models, increasingly benefit from the availability of spatially distributed Earth O...
A non-linear neural network technique for updating of river flow forecasts
Auto-Regressive Exogenous-input model neural network
2009/3/24
A non-linear Auto-Regressive Exogenous-input model (NARXM) river flow forecasting output-updating procedure is presented. This updating procedure is based on the structure of a multi-layer neural netw...
Comparison of three updating schemes using artificial neural network in flow forecasting
artificial neural network (ANN) updating flow forecasting backpropagation method
2009/3/5
Three updating schemes using artificial neural network (ANN) in flow forecasting are compared in terms of model efficiency. The first is the ANN model in the simulation mode plus an autoregressive (AR...