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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 23, issue 6
Hydrol. Earth Syst. Sci., 23, 2601–2614, 2019
https://doi.org/10.5194/hess-23-2601-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 2601–2614, 2019
https://doi.org/10.5194/hess-23-2601-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 17 Jun 2019

Research article | 17 Jun 2019

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

Naoki Mizukami et al.
Data sets

The CAMELS data set: catchment attributes and meteorology for large-sample studies N. Addor, A. Newman, N. Mizukami, and M. Clark https://doi.org/10.5065/D6G73C3Q

A large-sample watershed-scale hydrometeorological dataset for the contiguous USA A. Newman, K. Sampson, M. Clark, A. R. Bock, R. Viger, and D. Blodgett https://doi.org/10.5065/D6MW2F4D

mesoscale Hydrologic Model (Version v5.8) L. Samaniego, R. Kumar, J. Mai, M. Zink, S. Thober, M. Cuntz, and S. Attinger https://doi.org/10.5281/zenodo.1069203

Publications Copernicus
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Short summary
We find that Nash–Sutcliffe (NSE)-based model calibrations result in poor reproduction of high-flow events, such as the annual peak flows that are used for flood frequency estimation. The use of Kling–Gupta efficiency (KGE) results in annual peak flow estimates that are better than from NSE, with only a slight degradation in performance with respect to other related metrics.
We find that Nash–Sutcliffe (NSE)-based model calibrations result in poor reproduction of...
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