Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

IF value: 5.153
IF5.153
IF 5-year value: 5.460
IF 5-year
5.460
CiteScore value: 7.8
CiteScore
7.8
SNIP value: 1.623
SNIP1.623
IPP value: 4.91
IPP4.91
SJR value: 2.092
SJR2.092
Scimago H <br class='widget-line-break'>index value: 123
Scimago H
index
123
h5-index value: 65
h5-index65
Download
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.
HESS | Articles | Volume 23, issue 6
Hydrol. Earth Syst. Sci., 23, 2601–2614, 2019
https://doi.org/10.5194/hess-23-2601-2019
Hydrol. Earth Syst. Sci., 23, 2601–2614, 2019
https://doi.org/10.5194/hess-23-2601-2019

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.

Related authors

Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models
Manuela I. Brunner, Lieke A. Melsen, Andrew W. Wood, Oldrich Rakovec, Naoki Mizukami, Wouter J. M. Knoben, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 25, 105–119, https://doi.org/10.5194/hess-25-105-2021,https://doi.org/10.5194/hess-25-105-2021, 2021
Short summary
Flexible vector-based spatial configurations in land models
Shervan Gharari, Martyn P. Clark, Naoki Mizukami, Wouter J. M. Knoben, Jefferson S. Wong, and Alain Pietroniro
Hydrol. Earth Syst. Sci., 24, 5953–5971, https://doi.org/10.5194/hess-24-5953-2020,https://doi.org/10.5194/hess-24-5953-2020, 2020
Short summary
Mapping (dis)agreement in hydrologic projections
Lieke A. Melsen, Nans Addor, Naoki Mizukami, Andrew J. Newman, Paul J. J. F. Torfs, Martyn P. Clark, Remko Uijlenhoet, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 22, 1775–1791, https://doi.org/10.5194/hess-22-1775-2018,https://doi.org/10.5194/hess-22-1775-2018, 2018
Short summary
Climate change impacts on flood risk and asset damages within mapped 100-year floodplains of the contiguous United States
Cameron Wobus, Ethan Gutmann, Russell Jones, Matthew Rissing, Naoki Mizukami, Mark Lorie, Hardee Mahoney, Andrew W. Wood, David Mills, and Jeremy Martinich
Nat. Hazards Earth Syst. Sci., 17, 2199–2211, https://doi.org/10.5194/nhess-17-2199-2017,https://doi.org/10.5194/nhess-17-2199-2017, 2017
Short summary
The CAMELS data set: catchment attributes and meteorology for large-sample studies
Nans Addor, Andrew J. Newman, Naoki Mizukami, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 21, 5293–5313, https://doi.org/10.5194/hess-21-5293-2017,https://doi.org/10.5194/hess-21-5293-2017, 2017
Short summary

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Modelling approaches
The role and value of distributed precipitation data in hydrological models
Ralf Loritz, Markus Hrachowitz, Malte Neuper, and Erwin Zehe
Hydrol. Earth Syst. Sci., 25, 147–167, https://doi.org/10.5194/hess-25-147-2021,https://doi.org/10.5194/hess-25-147-2021, 2021
Short summary
Flood spatial coherence, triggers, and performance in hydrological simulations: large-sample evaluation of four streamflow-calibrated models
Manuela I. Brunner, Lieke A. Melsen, Andrew W. Wood, Oldrich Rakovec, Naoki Mizukami, Wouter J. M. Knoben, and Martyn P. Clark
Hydrol. Earth Syst. Sci., 25, 105–119, https://doi.org/10.5194/hess-25-105-2021,https://doi.org/10.5194/hess-25-105-2021, 2021
Short summary
Flexible vector-based spatial configurations in land models
Shervan Gharari, Martyn P. Clark, Naoki Mizukami, Wouter J. M. Knoben, Jefferson S. Wong, and Alain Pietroniro
Hydrol. Earth Syst. Sci., 24, 5953–5971, https://doi.org/10.5194/hess-24-5953-2020,https://doi.org/10.5194/hess-24-5953-2020, 2020
Short summary
Two-stage variational mode decomposition and support vector regression for streamflow forecasting
Ganggang Zuo, Jungang Luo, Ni Wang, Yani Lian, and Xinxin He
Hydrol. Earth Syst. Sci., 24, 5491–5518, https://doi.org/10.5194/hess-24-5491-2020,https://doi.org/10.5194/hess-24-5491-2020, 2020
Short summary
Predicting probabilities of streamflow intermittency across a temperate mesoscale catchment
Nils Hinrich Kaplan, Theresa Blume, and Markus Weiler
Hydrol. Earth Syst. Sci., 24, 5453–5472, https://doi.org/10.5194/hess-24-5453-2020,https://doi.org/10.5194/hess-24-5453-2020, 2020
Short summary

Cited articles

Addor, N., Newman, A., Mizukami, N., and Clark, M.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, https://doi.org/10.5065/D6G73C3Q, 2017a. a, b
Addor, N., Newman, A. J., Mizukami, N., and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21, 5293–5313, https://doi.org/10.5194/hess-21-5293-2017, 2017b. a
Berghuijs, W. R., Woods, R. A., Hutton, C. J., and Sivapalan, M.: Dominant flood generating mechanisms across the United States, Geophys. Res. Lett., 43, 4382–4390, https://doi.org/10.1002/2016GL068070, 2016. a
Bergström, S.: The HBV model, in: Compute Models of Watershed Hydrology, edited by: Singh, V., chap. The HBV mo, Water Resouces Publications, Highlands Ranch Co., 1995. a
Bourgin, F., Andréassian, V., Perrin, C., and Oudin, L.: Transferring global uncertainty estimates from gauged to ungauged catchments, Hydrol. Earth Syst. Sci., 19, 2535–2546, https://doi.org/10.5194/hess-19-2535-2015, 2015. a
Publications Copernicus
Download
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.
Citation