Journal metrics

Journal metrics

  • IF value: 4.256 IF 4.256
  • IF 5-year value: 4.819 IF 5-year 4.819
  • CiteScore value: 4.10 CiteScore 4.10
  • SNIP value: 1.412 SNIP 1.412
  • SJR value: 2.023 SJR 2.023
  • IPP value: 3.97 IPP 3.97
  • h5-index value: 58 h5-index 58
  • Scimago H index value: 99 Scimago H index 99
Discussion papers | Copyright
https://doi.org/10.5194/hess-2018-250
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 15 May 2018

Research article | 15 May 2018

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).

How good are hydrological models for gap-filling streamflow data?

Yongqiang Zhang and David Post Yongqiang Zhang and David Post
  • CSIRO Land and Water, GPO Box 1700, ACTON 2601, Canberra, Australia

Abstract. Gap-filling streamflow data is a critical step for most hydrological studies, such as streamflow trend, flood and drought analysis and hydrological response variable estimates and predictions. However, there is lack of quantitative evaluation of the gap-filled data accuracy in most hydrological studies. Here we show that when the missing rate is less than 10%, the gap-filled streamflow data obtained using calibrated hydrological models perform almost as same as the benchmark data (less than 1% missing) for estimating annual trends for 217 unregulated catchments widely spread in Australia. Furthermore, the relative streamflow trend bias caused by the gap-filling is not very large in very dry catchments where the hydrological model calibration is normally poor. Our results clearly demonstrate that the gap-filling using hydrological modelling has little impact on the estimation of annual streamflow and its trends.

Download & links
Yongqiang Zhang and David Post
Interactive discussion
Status: open (extended)
Status: open (extended)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Yongqiang Zhang and David Post
Yongqiang Zhang and David Post
Viewed
Total article views: 364 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
277 80 7 364 7 9
  • HTML: 277
  • PDF: 80
  • XML: 7
  • Total: 364
  • BibTeX: 7
  • EndNote: 9
Views and downloads (calculated since 15 May 2018)
Cumulative views and downloads (calculated since 15 May 2018)
Viewed (geographical distribution)
Total article views: 364 (including HTML, PDF, and XML) Thereof 361 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited
Saved
No saved metrics found.
Discussed
Latest update: 19 Jul 2018
Publications Copernicus
Download
Short summary
It is a critical step to gap-fill streamflow data for most hydrological studies, such as streamflow trend, flood and drought analysis and predictions. However, quantitative evaluation of the gap-filled data accuracy are not available. Here we conducted the first comprehensive study, and found that when the missing rate is less than 10 %, the gap-filled streamflow data using hydrological models are reliable for annual streamflow and its trend analysis.
It is a critical step to gap-fill streamflow data for most hydrological studies, such as...
Citation
Share