Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 23, issue 2
Articles | Volume 23, issue 2
https://doi.org/10.5194/hess-23-1015-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-23-1015-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 2
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, Paul Darscheid, and Uwe Ehret

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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.
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