Articles | Volume 20, issue 9
Hydrol. Earth Syst. Sci., 20, 3561–3579, 2016
https://doi.org/10.5194/hess-20-3561-2016
Hydrol. Earth Syst. Sci., 20, 3561–3579, 2016
https://doi.org/10.5194/hess-20-3561-2016

Research article 06 Sep 2016

Research article | 06 Sep 2016

Error reduction and representation in stages (ERRIS) in hydrological modelling for ensemble streamflow forecasting

Ming Li et al.

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Cited articles

Ajami, N. K., Duan, Q. Y., and Sorooshian, S.: An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction, Water Resour. Res., 43, W01403, https://doi.org/10.1029/2005wr004745, 2007.
Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F.: GloFAS – global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17, 1161–1175, https://doi.org/10.5194/hess-17-1161-2013, 2013.
Bates, B. C. and Campbell, E. P.: A Markov chain Monte Carlo scheme for parameter estimation and inference in conceptual rainfall-runoff modeling, Water Resour. Res., 37, 937–947, https://doi.org/10.1029/2000wr900363, 2001.
Bennett, J. C., Robertson, D. E., Shrestha, D. L., Wang, Q. J., Enever, D., Hapuarachchi, P., and Tuteja, N. K.: A System for Continuous Hydrological Ensemble to lead times of 9 days Forecasting (SCHEF), J. Hydrol., 519, 2832–2846, https://doi.org/10.1016/j.jhydrol.2014.08.010, 2014a.
Bennett, J. C., Wang, Q. J., Pokhrel, P., and Robertson, D. E.: The challenge of forecasting high streamflows 1–3 months in advance with lagged climate indices in southeast Australia, Nat. Hazards Earth Syst. Sci., 14, 219–233, https://doi.org/10.5194/nhess-14-219-2014, 2014b.
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