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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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IF value: 5.153
IF5.153
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CiteScore value: 7.8
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Volume 21, issue 2
Hydrol. Earth Syst. Sci., 21, 1279–1294, 2017
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

Hydrol. Earth Syst. Sci., 21, 1279–1294, 2017
https://doi.org/10.5194/hess-21-1279-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.

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

Publications Copernicus
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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.
Quantitative precipitation forecast produced by the WRF model has a similar pattern to that...
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