On the choice of calibration metrics for high-flow estimation using hydrologic models

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F19%3A79378" target="_blank" >RIV/60460709:41330/19:79378 - isvavai.cz</a>
Result on the web
<a href="https://www.hydrol-earth-syst-sci.net/23/2601/2019/" target="_blank" >https://www.hydrol-earth-syst-sci.net/23/2601/2019/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/hess-23-2601-2019" target="_blank" >10.5194/hess-23-2601-2019</a>

Result language
angličtina
Original language name
On the choice of calibration metrics for high-flow estimation using hydrologic models
Original language description
Calibration is an essential step for improving the accuracy of simulations generated using hydrologic models. A key modeling decision is selecting the performance metric to be optimized. It has been common to use squared error performance metrics, or normalized variants such as Nash Sutcliffe efficiency (NSE), based on the idea that their squared-error nature will emphasize the estimates of high flows. However, we conclude that NSE based model calibrations actually result in poor reproduction of high-flow events, such as the annual peak flows that are used for flood frequency estimation. Overall, this work highlights the need for a deeper understanding of performance metric behavior and design in relation to the desired goals of model calibration.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10501 - Hydrology

Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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