Testing the Efficiency of Parameter Disaggregation for Distributed Rainfall-Runoff Modelling

A variety of hydrological models is currently available. Many those employ physically based formulations to account for the complexity and spatial heterogeneity natural processes. In turn, they require a substantial amount data, which may not always be available at sufficient quality. Recently, top-down approach distributed rainfall-runoff modelling has been developed, aims combining accuracy simplicity. Essentially, model with uniform parameters (base model) derived from calibrated lumped conceptual model. Subsequently, selected are disaggregated on links spatially variable catchment properties. The disaggregation concept now adjusted better non-linearities extended incorporate more (and, thus, larger heterogeneity). tested including several flow gauging stations. shown outperform base respect internal dynamics, while performing similarly outlet. Moreover, it manages bridge average 44% Nash–Sutcliffe efficiency difference between Nevertheless, aforementioned improvement necessarily reliable results.