An Objective Time‐Series‐Analysis Method for Rainfall‐Runoff Event Identification

Methodologies for rainfall-runoff event identification from continuous time series suffer significant subjectivity. In particular, whether they initiate the rainfall or streamflow timeseries, usually require baseflow separation and need substantial modifications parameters’ recalibration when changing temporal resolution of data. Therefore, here we propose a novel objective methodology that is easily transferable across sites resolutions, without having to make subjective choices adjust multiple parameters. The proposed method identify events based on analysis technique simultaneously considers does not any priori assumptions about separation. allows also produce posteriori by connecting delimiters identified events. Moreover, can be applied at as long high enough capture delay between precipitation runoff response. When comparing results traditional baseflow-based approach, observe good agreement in terms properties both hourly daily scale (correlation ratios two methods equal 0.78 [daily data] 0.84 [hourly data]). identifications with reveals produces coherent different resolutions data 0.71).