Articles | Volume 19, issue 1
Hydrol. Earth Syst. Sci., 19, 1–15, 2015
Hydrol. Earth Syst. Sci., 19, 1–15, 2015

Research article 06 Jan 2015

Research article | 06 Jan 2015

A strategy to overcome adverse effects of autoregressive updating of streamflow forecasts

M. Li et al.

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Cited articles

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,, 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 Forecasting (SCHEF) to lead times of 9 days, J. Hydrol.,, 2014.
Del Giudice, D., Honti, M., Scheidegger, A., Albert, C., Reichert, P., and Rieckermann, J.: Improving uncertainty estimation in urban hydrological modeling by statistically describing bias, Hydrol. Earth Syst. Sci., 17, 4209–4225,, 2013.
Duan, Q. Y., Schaake, J., Andreassian, V., Franks, S., Goteti, G., Gupta, H. V., Gusev, Y. M., Habets, F., Hall, A., Hay, L., Hogue, T., Huang, M., Leavesley, G., Liang, X., Nasonova, O. N., Noilhan, J., Oudin, L., Sorooshian, S., Wagener, T., and Wood, E. F.: Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops, J. Hydrol., 320, 3–17,, 2006.
Duan, Q. Y., Sorooshian, S., and Gupta, V. K.: Optimal Use of the Sce-Ua Global Optimization Method for Calibrating Watershed Models, J. Hydrol., 158, 265–284,, 1994.