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
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.

Viewed

Total article views: 2,509 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,606 882 21 2,509 56 50
  • HTML: 1,606
  • PDF: 882
  • XML: 21
  • Total: 2,509
  • BibTeX: 56
  • EndNote: 50
Views and downloads (calculated since 03 Aug 2018)
Cumulative views and downloads (calculated since 03 Aug 2018)

Viewed (geographical distribution)

Total article views: 2,187 (including HTML, PDF, and XML) Thereof 2,170 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

No saved metrics found.

Saved (preprint)

No saved metrics found.

Discussed (final revised paper)

No discussed metrics found.

Discussed (preprint)

No discussed metrics found.
Latest update: 21 Sep 2020
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.
We find that Nash–Sutcliffe (NSE)-based model calibrations result in poor reproduction of...
Citation