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

Zhang, Yongqiang; Post, David

doi:https://doi.org/10.5194/hess-22-4593-2018

Articles | Volume 22, issue 8

https://doi.org/10.5194/hess-22-4593-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/hess-22-4593-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 8

Research article

|

30 Aug 2018

Research article |

| 30 Aug 2018

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

Yongqiang Zhang and David Post

Data sets

Streamflow data Y. Zhang, N. Viney, A. Frost, A. Oke, M. Brooks, Y. Chen, N. Campbell https://doi.org/10.4225/08/58b5baad4fcc2

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 is not available. Here we conducted the first comprehensive study, and found that when the missing data rate is less than 10 %, the gap-filled streamflow data using hydrological models are reliable for annual streamflow and its trend analysis.