Physically based distributed hydrological model calibration based on a short period of streamflow data: case studies in four Chinese basins

Sun, Wenchao; Wang, Yuanyuan; Wang, Guoqiang; Cui, Xingqi; Yu, Jingshan; Zuo, Depeng; Xu, Zongxue

doi:https://doi.org/10.5194/hess-21-251-2017

Articles | Volume 21, issue 1

https://doi.org/10.5194/hess-21-251-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

Modeling hydrological processes and changes

https://doi.org/10.5194/hess-21-251-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 1

Research article

|

11 Jan 2017

Research article |

| 11 Jan 2017

Physically based distributed hydrological model calibration based on a short period of streamflow data: case studies in four Chinese basins

Wenchao Sun, Yuanyuan Wang, Guoqiang Wang, Xingqi Cui, Jingshan Yu, Depeng Zuo, and Zongxue Xu

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Final revised paper (published on 11 Jan 2017)
Preprint (discussion started on 17 May 2016)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comments for hess-2016-192', Anonymous Referee #1, 13 Jun 2016
- AC1: 'Responses Referee #1', Jingshan Yu, 22 Sep 2016
RC2: 'Critical review of "Physically-based distributed hydrological model calibration based on a short period of streamflow data: case studies in two Chinese basins"', Anonymous Referee #2, 02 Sep 2016
- AC2: 'Responses to Referee #2', Jingshan Yu, 22 Sep 2016

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Reconsider after major revisions (04 Oct 2016) by Yaning Chen

AR by Jingshan Yu on behalf of the Authors (06 Dec 2016) Author's response Manuscript

ED: Publish as is (07 Dec 2016) by Yaning Chen

AR by Jingshan Yu on behalf of the Authors (13 Dec 2016) Manuscript

Short summary

The possibility of using a short period of streamflow data (less than one year) to calibrate a physically based distributed hydrological model is evaluated. Contrary to the common understanding of using data of several years, it is shown that only using data covering several months could calibrate the model effectively, which indicates that this approach is valuable for solving the calibration problem of such models in data-sparse basins.