Articles | Volume 24, issue 11
https://doi.org/10.5194/hess-24-5539-2020
https://doi.org/10.5194/hess-24-5539-2020
Technical note
 | 
24 Nov 2020
Technical note |  | 24 Nov 2020

Technical note: Calculation scripts for ensemble hydrograph separation

James W. Kirchner and Julia L. A. Knapp

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Cited articles

Cleveland, W. S.: Robust locally weighted regression and smoothing scatterplots, J. Am. Stat. Assoc., 74, 829-836, https://doi.org/10.1080/01621459.1979.10481038, 1979. 
Glasser, M.: Linear regression analysis with missing observations among the independent variables, J. Am. Stat. Assoc., 59, 834–844, https://doi.org/10.1080/01621459.1964.10480730, 1964. 
Godsey, S. E., Aas, W., Clair, T. A., de Wit, H. A., Fernandez, I. J., Kahl, J. S., Malcolm, I. A., Neal, C., Neal, M., Nelson, S. J., Norton, S. A., Palucis, M. C., Skjelkvåle, B. L., Soulsby, C., Tetzlaff, D., and Kirchner, J. W.: Generality of fractal 1∕f scaling in catchment tracer time series, and its implications for catchment travel time distributions, Hydrol. Process., 24, 1660–1671, https://doi.org/10.1002/hyp.7677, 2010.  
Hampel, F. R.: A general qualitative definition of robustness, Ann. Math. Stat., 42, 1887–1896, https://doi.org/10.1214/aoms/1177693054, 1971. 
Holland, P. W. and Welsch, R. E.: Robust regression using iteratively reweighted least-squares, Commun. Stat., 6, 813–827, https://doi.org/10.1080/03610927708827533, 1977. 
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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.
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