## Rainfall - Runoff Modelling: The PrimerRainfall-Runoff Modelling The Primer is the first comprehensive introduction and survey of rainfall-runoff modelling since 1975. Dramatic increases in computer power and spatial databases since then have made unprecedented resources available to the modeller today. However, the early modellers would not have expected that the representations of hydrological processes by computer models would have proven such a difficult scientific problem. This book provides both a primer for the novice and a detailed and practical description of techniques and difficulties demanded by more advanced users and developers. The complete range of rainfall-runoff models is reviewed including models for real time flood forecasting and for predicting the impacts of land use and climate changes with example applications. This is the first text to include methods for estimating the uncertainty in predictions as an essential tool for the novice in making hydrological predictions. This book will appeal to the novice, final year undergraduates and graduate students, hydrological researchers and consultants, and environmental agencies. |

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### Indice

Survival of the Fittest? | 25 |

Data for RainfallRunoff Modelling | 53 |

Predicting Hydrographs Using Models Based on Data | 85 |

Predicting Hydrographs Using Distributed Models Based on Process | 115 |

Hydrological Similarity and Distribution Function | 179 |

1 The SCS Curve Number Model Revisited | 203 |

Parameter Estimation and Predictive Uncertainty | 217 |

Predicting Floods | 255 |

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algorithm analysis application approach approximation assumptions Beven boundary conditions calculated canopy catchment catchment scale channel Chapter coefficient components contributing area curve number Darcy's law depth discharge distributed models downslope effective rainfall equifinality error estimation etal evaluation evapotranspiration example Figure flood frequency flow pathways flow processes flux GLUE hillslope hydraulic conductivity hydrological modelling hydrological response infiltration capacity infiltration excess kinematic wave likelihood function likelihood measure limitations linear method model predictions model structure nonlinear observed output overland flow parameter space parameter values peak pedotransfer functions perceptual model period problem rainfall-runoff modelling raingauges represent response surface Richards equation routing runoff production saturated zone Section simple simulation slope snowmelt soil moisture solution spatial step storage storm runoff subsurface flow surface runoff techniques temperature throughfall TOPMODEL topographic index transfer function transfer function model uncertainty unit hydrograph unsaturated variable vegetation velocity water table