Issues in generating stochastic observables for hydrological models
Keith Beven
Abstract
Abstract This paper provides a historical review and critique of stochastic generating models for hydrological observables, from early generation of monthly discharge series, through flood frequency estimation by continuous simulation, to current weather generators. There are a number of issues that arise in such models, from uncertainties in the observational data on which such models must be based, to the potential persistence effects in hydroclimatic systems, the proper representation of tail behaviour in the underlying distributions, and the interpretation of future scenarios.
Topics & Concepts
ObservableFlood mythRepresentation (politics)Stochastic modellingEconometricsMeteorologyHydrological modellingComputer scienceInterpretation (philosophy)Series (stratigraphy)Environmental scienceClimatologyStatistical physicsStatisticsMathematicsGeologyGeographyPhysicsProgramming languagePaleontologyQuantum mechanicsPolitical sciencePoliticsArchaeologyLawHydrology and Drought AnalysisHydrology and Watershed Management StudiesFlood Risk Assessment and Management