Journal cover Journal topic
Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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
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 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.
Citation: Zhang, Y. and Post, D.: How good are hydrological models for gap-filling streamflow data?, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-250, in review, 2018.
Yongqiang Zhang and David Post
Yongqiang Zhang and David Post
Yongqiang Zhang and David Post

Viewed

Total article views: 186 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
143 39 4 186 2 5

Views and downloads (calculated since 15 May 2018)

Cumulative views and downloads (calculated since 15 May 2018)

Viewed (geographical distribution)

Total article views: 186 (including HTML, PDF, and XML)

Thereof 186 with geography defined and 0 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 20 May 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...
Share