New models for nonlinear catchment analysis

Abstract Two nonlinear functional models which take into account nonlinear storage and translation effects are developed for catchment analysis. The kernel functions of the models represent physically realizable responses. This property gives them a better standing among similar models. The new models are tested and compared with the functional series. Methods are also proposed for determining the catchment memory length and estimating the effective precipitation.