Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model

Li, Ji; Chen, Yangbo; Wang, Huanyu; Qin, Jianming; Li, Jie; Chiao, Sen

doi:https://doi.org/10.5194/hess-21-1279-2017

Articles | Volume 21, issue 2

https://doi.org/10.5194/hess-21-1279-2017

© 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-21-1279-2017

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

Articles | Volume 21, issue 2

Research article

|

02 Mar 2017

Research article |

| 02 Mar 2017

Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model

Ji Li, Yangbo Chen, Huanyu Wang, Jianming Qin, Jie Li, and Sen Chiao

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Final revised paper (published on 02 Mar 2017)
Preprint (discussion started on 20 Oct 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'EXTENDING FLOOD FORECASTING LEAD TIME IN LARGE WATERSHED BY COUPLING WRF QPF WITH DISTRIBUTED HYDROLOGICAL MODEL BY LI ET AL.', M.L. Kavvas, 07 Nov 2016
- AC1: 'Reply to the comments of Referee # 1', Y. Chen, 15 Feb 2017
- AC2: 'revised manuscript', Y. Chen, 15 Feb 2017
SC1: 'uncertainty evaluation in real-time flood forecasting', DAVIDE LUCIANO DE LUCA, 28 Nov 2016
- AC4: 'Reply to the comments of SC1', Y. Chen, 15 Feb 2017
RC2: 'Review of “Extending flood forecasting lead time in large watershed by coupling WRF QPF with distributed hydrological model” by Li et al. (Hess 2016-512)', Anonymous Referee #2, 08 Feb 2017
- AC3: 'Reply to the comments of Referee # 1', Y. Chen, 15 Feb 2017

Peer-review completion

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

ED: Publish as is (16 Feb 2017) by Yaning Chen

AR by Yangbo Chen on behalf of the Authors (17 Feb 2017) Manuscript

Short summary

Quantitative precipitation forecast produced by the WRF model has a similar pattern to that estimated by rain gauges in a southern China large watershed, hydrological model parameters should be optimized with QPF produced by WRF, and simulating floods by coupling the WRF QPF with a distributed hydrological model provides a good reference for large watershed flood warning and could benefit the flood management communities due to its longer lead time.