Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3745-2016
https://doi.org/10.5194/hess-20-3745-2016
Research article
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12 Sep 2016
Research article | Highlight paper |  | 12 Sep 2016

Disentangling timing and amplitude errors in streamflow simulations

Simon Paul Seibert, Uwe Ehret, and Erwin Zehe

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Cited articles

Attinger, S.: Generalized Coarse Graining Procedures for Flow in Porous Media, Comput. Geosci., 7, 253–273, https://doi.org/10.1023/B:COMG.0000005243.73381.e3, 2003.
Beven, K. and Binley, A.: The future of distributed models: model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, https://doi.org/10.1002/hyp.3360060305, 1992.
Biondi, D., Freni, G., Iacobellis, V., Mascaro, G., and Montanari, A.: Validation of hydrological models: Conceptual basis, methodological approaches and a proposal for a code of practice, Phys. Chem. Earth, 42–44, 70–76, https://doi.org/10.1016/j.pce.2011.07.037, 2012.
Blume, T., Zehe, E., and Bronstert, A.: Rainfall-runoff response, event-based runoff coefficients and hydrograph separation, Hydrolog. Sci. J., 52, 843–862, https://doi.org/10.1623/hysj.52.5.843, 2007.
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While the assessment of "vertical" (magnitude) errors of streamflow simulations is standard practice, "horizontal" (timing) errors are rarely considered. To assess their role, we propose a method to quantify both errors simultaneously which closely resembles visual hydrograph comparison. Our results reveal differences in time–magnitude error statistics for different flow conditions. The proposed method thus offers novel perspectives for model diagnostics and evaluation.