Articles | Volume 27, issue 10
https://doi.org/10.5194/hess-27-1987-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-27-1987-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Why do our rainfall–runoff models keep underestimating the peak flows?
András Bárdossy
Institute for Water and Environmental System Modeling, University of Stuttgart, 70569 Stuttgart, Germany
Faizan Anwar
CORRESPONDING AUTHOR
Institute for Water and Environmental System Modeling, University of Stuttgart, 70569 Stuttgart, Germany
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András Bárdossy, Jochen Seidel, and Abbas El Hachem
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Short summary
Short summary
In this study, the applicability of data from private weather stations (PWS) for precipitation interpolation was investigated. Due to unknown errors and biases in these observations, a two-step filter was developed that uses indicator correlations and event-based spatial precipitation patterns. The procedure was tested and cross validated for the state of Baden-Württemberg (Germany). The biggest improvement is achieved for the shortest time aggregations.
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Short summary
This study demonstrates the fact that the large river flows forecasted by the models show an underestimation that is inversely related to the number of locations where precipitation is recorded, which is independent of the model. The higher the number of points where the amount of precipitation is recorded, the better the estimate of the river flows.
This study demonstrates the fact that the large river flows forecasted by the models show an...