Diagnostic evaluation of conceptual rainfall — runoff models using temporal clustering.

The article presents study which evaluates the conceptual rain-fall and time-invariant models parameters through temporal clustering. It states that the period of hydrological similarity was determined by temporal clustering of hydrological information. It mentions that the increase in the average of precipitation is a result of the increase in soil moisture. It adds that the periods of wetting, drying and runoff dynamics of the catchment are visible in the organization of clusters.