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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/hess-2020-330
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2020-330
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  29 Jul 2020

29 Jul 2020

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A revised version of this preprint was accepted for the journal HESS and is expected to appear here in due course.

Technical note: Calculation scripts for ensemble hydrograph separation

James W. Kirchner1,2,3 and Julia L. A. Knapp1 James W. Kirchner and Julia L. A. Knapp
  • 1Dept. of Environmental Systems Science, ETH Zurich, Zurich, Switzerland
  • 2Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
  • 3Department of Earth and Planetary Science, University of California, Berkeley, California, USA

Abstract. Ensemble hydrograph separation has recently been proposed as a technique for using passive tracers to measure catchment transit time distributions and new water fractions, introducing a powerful new tool for quantifying catchment behavior. However, the technical details of the necessary calculations may not be straightforward for many users to implement. We have therefore developed scripts that perform these calculations on two widely used platforms (MATLAB and R), to make these methods more accessible to the community. These scripts implement robust estimation techniques by default, making their results highly resistant to outliers. Here we briefly describe how these scripts work, and offer advice on their use. We illustrate their potential and limitations using synthetic benchmark data.

James W. Kirchner and Julia L. A. Knapp

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James W. Kirchner and Julia L. A. Knapp

James W. Kirchner and Julia L. A. Knapp

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Latest update: 26 Oct 2020
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Short summary
Ensemble hydrograph separation is a powerful new tool for measuring the age distribution of streamwater. However, the calculations are complex and may be difficult for researchers to implement on their own. Here we present scripts that perform these calculations in either MATLAB or R, so that researchers do not need to write their own codes. We explain how these scripts work and how to use them. We demonstrate several potential applications using a synthetic catchment data set.
Ensemble hydrograph separation is a powerful new tool for measuring the age distribution of...
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