Articles | Volume 20, issue 9
https://doi.org/10.5194/hess-20-3745-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-20-3745-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
12 Sep 2016
Research article | Highlight paper |
| 12 Sep 2016
Disentangling timing and amplitude errors in streamflow simulations
Simon Paul Seibert
Chair of Hydrology, Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe,
Germany
Chair of Hydrology, Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe,
Germany
Erwin Zehe
Chair of Hydrology, Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe,
Germany
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Cited
15 citations as recorded by crossref.
- Statistical Postprocessing of Water Level Forecasts Using Bayesian Model Averaging With Doubly Truncated Normal Components S. Baran et al.
- A wavelet-based approach to streamflow event identification and modeled timing error evaluation E. Towler & J. McCreight
- Picturing and modeling catchments by representative hillslopes R. Loritz et al.
- Resampling and ensemble techniques for improving ANN-based high-flow forecast accuracy E. Snieder et al.
- Development of a Hydrological Ensemble Prediction System to Assist with Decision-Making for Floods during Typhoons S. Yang et al.
- Identifying rainfall-runoff events in discharge time series: a data-driven method based on information theory S. Thiesen et al.
- Analog‐Based Postprocessing of Navigation‐Related Hydrological Ensemble Forecasts S. Hemri & B. Klein
- An inter-comparison of similarity-based methods for organisation and classification of groundwater hydrographs E. Haaf & R. Barthel
- Similarity-based approaches in hydrogeology: proposal of a new concept for data-scarce groundwater resource characterization and prediction R. Barthel et al.
- Reducing uncertainties in urban drainage models by explicitly accounting for timing errors in objective functions I. Broekhuizen et al.
- Unravelling abiotic and biotic controls on the seasonal water balance using data-driven dimensionless diagnostics S. Seibert et al.
- Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al.
- A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions N. Rodriguez et al.
- Systematic visual analysis of groundwater hydrographs: potential benefits and challenges R. Barthel et al.
- New optimization strategies for SWMM modeling of stormwater quality applications in urban area M. Assaf et al.
15 citations as recorded by crossref.
- Statistical Postprocessing of Water Level Forecasts Using Bayesian Model Averaging With Doubly Truncated Normal Components S. Baran et al.
- A wavelet-based approach to streamflow event identification and modeled timing error evaluation E. Towler & J. McCreight
- Picturing and modeling catchments by representative hillslopes R. Loritz et al.
- Resampling and ensemble techniques for improving ANN-based high-flow forecast accuracy E. Snieder et al.
- Development of a Hydrological Ensemble Prediction System to Assist with Decision-Making for Floods during Typhoons S. Yang et al.
- Identifying rainfall-runoff events in discharge time series: a data-driven method based on information theory S. Thiesen et al.
- Analog‐Based Postprocessing of Navigation‐Related Hydrological Ensemble Forecasts S. Hemri & B. Klein
- An inter-comparison of similarity-based methods for organisation and classification of groundwater hydrographs E. Haaf & R. Barthel
- Similarity-based approaches in hydrogeology: proposal of a new concept for data-scarce groundwater resource characterization and prediction R. Barthel et al.
- Reducing uncertainties in urban drainage models by explicitly accounting for timing errors in objective functions I. Broekhuizen et al.
- Unravelling abiotic and biotic controls on the seasonal water balance using data-driven dimensionless diagnostics S. Seibert et al.
- Process‐based hydrological modelling: The potential of a bottom‐up approach for runoff predictions in ungauged catchments M. Antonetti et al.
- A comparison of catchment travel times and storage deduced from deuterium and tritium tracers using StorAge Selection functions N. Rodriguez et al.
- Systematic visual analysis of groundwater hydrographs: potential benefits and challenges R. Barthel et al.
- New optimization strategies for SWMM modeling of stormwater quality applications in urban area M. Assaf et al.
Saved (final revised paper)
Latest update: 18 May 2026
Short summary
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.
While the assessment of "vertical" (magnitude) errors of streamflow simulations is standard...
