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HESS | Articles | Volume 23, issue 3
Hydrol. Earth Syst. Sci., 23, 1505–1532, 2019
https://doi.org/10.5194/hess-23-1505-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Integration of Earth observations and models for global water...

Hydrol. Earth Syst. Sci., 23, 1505–1532, 2019
https://doi.org/10.5194/hess-23-1505-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 15 Mar 2019

Research article | 15 Mar 2019

Predicting floods in a large karst river basin by coupling PERSIANN-CCS QPEs with a physically based distributed hydrological model

Ji Li et al.

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Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-285,https://doi.org/10.5194/hess-2019-285, 2019
Preprint withdrawn
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Cited articles

Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J.: An Introduction to the European HydrologicSystem-System Hydrologue Europeen, “SHE”, a: History and Philosophy of a Physically-based, Distributed Modelling System, J. Hydrol., 87, 45–59, 1986a. 
Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J.: An Introduction to the European Hydrologic System-System Hydrologue Europeen, “SHE”, b: Structure of a Physically based, distributed modeling System, J. Hydrol., 87, 61–77, 1986b. 
Ahilan, S., O'Sullivan, J. J., and Bruen, M.: Influences on flood frequency distribution in Irish catchments, 34th IAHR World Congress 2011: Balance and Uncertainty: Water in a Changing World, International Association for Hydro-Environment Engineering and Research, Brisbane, Australia, 2012. 
Ambroise, B., Beven, K., and Freer, J.: Toward a generalization of the TOPMODEL concepts: Topographic indices of hydrologic similarity, Water Resour. Res., 32, 2135–2145, 1996. 
Ashouri, H., Hsu, K. L., Soroosh, S., Braithwaite, D. K., Knapp, K. R., and Cecil, L. D.: PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies, B. Am. Meteorol. Soc., 96, 197–210, 2014. 
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There are no long-term reasonable rainfall data to build a hydrological model in karst river basins to a large extent. In this paper, the PERSIANN-CCS QPEs are employed to estimate the precipitation data as an attempt in the Liujiang karst river basin, 58 270 km2, China. An improved method is proposed to revise the results of the PERSIANN-CCS QPEs. The post-processed PERSIANN-CCS QPE with a distributed hydrological model, the Liuxihe model, has a better performance in karst flood forecasting.
There are no long-term reasonable rainfall data to build a hydrological model in karst river...
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