Stochastic Modelling of Monthly Streamflow in the Federal Republic of Germany

Monthly streamflow series from five catchment areas, representative of some of the typical types encounted in Germany, are analysed. The time series structure of the streamflow can be described by a set of statistical parameters from which the catchment areas can be parametrically classified and regionalised according to the physical characteristics, local climate and geographical location. Simple stochastic models, with emphasis on the seasonal multiplicative model, are considered. These models describe the streamflow generating process and may be used for synthetic data generation for water resources planning and operational purposes. Their performance and limitations are discussed.