Articles | Volume 23, issue 2
Hydrol. Earth Syst. Sci., 23, 1015–1034, 2019
https://doi.org/10.5194/hess-23-1015-2019
Hydrol. Earth Syst. Sci., 23, 1015–1034, 2019
https://doi.org/10.5194/hess-23-1015-2019

Research article 19 Feb 2019

Research article | 19 Feb 2019

Identifying rainfall-runoff events in discharge time series: a data-driven method based on information theory

Stephanie Thiesen et al.

Data sets

Event Detection Method Based on Information Theory (data sets) Stephanie Thiesen, Paul Darscheid, and Uwe Ehret https://doi.org/10.5281/zenodo.1404638

Model code and software

Event Detection Method Based on Information Theory (functions and demo scripts) Stephanie Thiesen, Paul Darscheid, and Uwe Ehret https://doi.org/10.5281/zenodo.1404638

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Short summary
We present a data-driven approach created to explore the full information of data sets, avoiding parametric assumptions. The evaluations are based on Information Theory concepts, introducing an objective measure of information and uncertainty. The approach was applied to automatically identify rainfall-runoff events in discharge time series, however it is generic enough to be adapted to other practical applications.