Articles | Volume 383
https://doi.org/10.5194/piahs-383-213-2020
https://doi.org/10.5194/piahs-383-213-2020
Post-conference publication
 | 
16 Sep 2020
Post-conference publication |  | 16 Sep 2020

Ensemble flood simulation for the typical catchment in humid climatic zone by using multiple hydrological models

Jie Wang, Jianyun Zhang, Guoqing Wang, Xiaomeng Song, Xiaoying Yang, and Yueyang Wang

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Cited articles

Andrew, W. R., Upmanu, L., Stephen, E. Z., and Balaji, R.: Categorical climate forecasts through optimal combination of multiple GCM ensembles, World Water and Environmental Resources Congress, 130, 1792–1811, https://doi.org/10.1061/40685(2003)184, 2003. 
Arsenault, R., Gatien, P., Renaud, B., Brissette, F., and Martel, J. L.: A comparative analysis of 9 multimodel averaging approaches in hydrological continuous streamflow simulation, J. Hydrol., 529, 754–767, https://doi.org/10.1016/j.jhydrol.2015.09.001, 2005. 
Arsenault, R., Gilles, R. C., and Francois, P. B.: Improving hydrological model simulations with combined multi-Input and multimodel averaging frameworks, J. Hydrol. Eng., 22, 66–76, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001489, 2017. 
Balint, G., Csik, A., Bartha, P., Gauzer, B., and Bonta, I.: Application of meterological ensembles for Danube flood forecasting and warning, in: Transboundary floods: Reducing risks through flood management, edited by: Marsalek, J., Stancalie, G., and Balint, G., Springer, NATO Science Series, Dordecht, the Netherlands, 57–68, 2006. 
Bao, W.: Hydrological forecasting (4th Edn.), China Water Conservancy and Hydropower Press, China, 141–142, 2009.