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

Data sets

Study of a dynamic downscaling scheme for quantitative precipitation forecasting, Remote Sensing and GIS for Hydrology and Water Resources Y. Li, G. H. Lu, Z. Y. Wu, and J. Shi https://doi.org/10.5194/piahs-368-108-2015

Large-watershed flood forecasting with high-resolution distributed hydrological model Y. Chen, J. Li, H. Wang, J. Qin, and L. Dong https://doi.org/10.5194/hess-21-735-2017

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.