caa a22 4500 469040734 CHVBK 20180323132810.0 cr unu---uuuuu 170328e19921201xx s 000 0 eng 10.1007/BF01581618 doi (NATIONALLICENCE)springer-10.1007/BF01581618 Comparison of non-Gaussian multicomponent and periodic autoregressive models for river flow [Elektronische Daten] [Zebene Eshete, G. Vandewiele] The Non-Gaussian Multicomponent model for river flow (NGM) of Vandewiele and Dom is modified in order to facilitate maximum likelihood estimation. It is also generalized so that a wider variety of river flows at a diversity of time steps can be modeled. This model is applied to two basins in Belgium and France with very different areas, both at monthly and weekly time scale. Results on the quality of forecasting and simulation (especially simulation of low and high flow volumes) are compared with those of classical Periodic Autoregressive models (PAR). Results with NGM are always better, in most cases considerably better. This is due to the fact that NGM models explicitly take into consideration the presence of so called flow components, like baseflow and direct flow recession, which are phenomena well known to hydrologists. Springer-Verlag, 1992 River Flow Model nationallicence Time Series nationallicence Autoregressive nationallicence Eshete Zebene Laboratory of Hydrology, Vrije Universiteit Brussel, Brussels, Belgium aut Vandewiele G. Laboratory of Hydrology, Vrije Universiteit Brussel, Brussels, Belgium aut Stochastic Hydrology and Hydraulics Springer-Verlag 6/4(1992-12-01), 223-238 0931-1955 6:4<223 1992 6 477 https://doi.org/10.1007/BF01581618 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01581618 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Eshete Zebene Laboratory of Hydrology, Vrije Universiteit Brussel, Brussels, Belgium aut NATIONALLICENCE 700 1- Vandewiele G. Laboratory of Hydrology, Vrije Universiteit Brussel, Brussels, Belgium aut NATIONALLICENCE 773 0- Stochastic Hydrology and Hydraulics Springer-Verlag 6/4(1992-12-01), 223-238 0931-1955 6:4<223 1992 6 477 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer