Identification and estimation of continuous-time rainfall-flow models

Peter C. Young (1) , Hugues Garnier (2)

1 CRES - Centre for Research on Environmental Systems and Statistics
2 CRAN - Centre de Recherche en Automatique de Nancy

The identification and estimation of rainfall-flow models is one of the most challenging problems in hydrology. This paper presents the results of direct continuous-time identification and estimation of a rainfall-flow model for the Canning, an ephemeral river in Western Australia, based on daily sampled data. It compares simplified and full implementations of the optimal instrumental variable algorithm used in the application and discusses the advantages of this direct method when compared with the alternative indirect approach to the problem based on discrete-time model estimation.

Mots clés: Continuous-time models; hybrid models; instrumental variable; sampled data; parameter estimation; river catchments; rainfall-flow

Domaines: Automatique / Robotique

Peter C. Young, Hugues Garnier. Identification and estimation of continuous-time rainfall-flow models. 14th IFAC Symposium on System Identification (SYSID'2006), Mar 2006, Newcastle, Australia. pp.1276-1281. ⟨hal-00109100⟩