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HESS | Articles | Volume 23, issue 3
Hydrol. Earth Syst. Sci., 23, 1453-1467, 2019
https://doi.org/10.5194/hess-23-1453-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 23, 1453-1467, 2019
https://doi.org/10.5194/hess-23-1453-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 14 Mar 2019

Research article | 14 Mar 2019

Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River

Bart van Osnabrugge et al.
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Andréassian, V., Perrin, C., and Michel, C.: Impact of imperfect potential evapotranspiration knowledge on the efficiency and parameters of watershed models, J. Hydrol., 286, 19–35, https://doi.org/10.1016/j.jhydrol.2003.09.030, 2004. a, b
Bai, P., Liu, X., Yang, T., Li, F., Liang, K., Hu, S., Liu, C., Bai, P., Liu, X., Yang, T., Li, F., Liang, K., Hu, S., and Liu, C.: Assessment of the Influences of Different Potential Evapotranspiration Inputs on the Performance of Monthly Hydrological Models under Different Climatic Conditions, J. Hydrometeorol., 17, 2259–2274, https://doi.org/10.1175/JHM-D-15-0202.1, 2016. a
Bastiaanssen, W. G. M., Noordman, E. J. M., Pelgrum, H., Davids, G., Thoreson, B. P., and Allen, R. G.: SEBAL Model with Remotely Sensed Data to Improve Water-Resources Management under Actual Field Conditions, J. Irrig. Drain. Eng., 131, 85–93, https://doi.org/10.1061/(ASCE)0733-9437(2005)131:1(85), 2005. a
Beven, K. and Binley, A.: The future of distributed models: Model calibration and uncertainty prediction, Hydrol. Process., 6, 279–298, https://doi.org/10.1002/hyp.3360060305, 1992. a
Bowman, A. L., Franz, K. J., Hogue, T. S., and Kinoshita, A. M.: MODIS-Based Potential Evapotranspiration Demand Curves for the Sacramento Soil Moisture Accounting Model, J. Hydrol. Eng., 21, 04015055, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001261, 2016. a, b
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Short summary
A correct estimate of the amount of future precipitation is the most important factor in making a good streamflow forecast, but evaporation is also an important component that determines the discharge of a river. However, in this study for the Rhine River we found that evaporation forecasts only give an almost negligible improvement compared to methods that use statistical information on climatology for a 10-day streamflow forecast. This is important to guide research on low flow forecasts.
A correct estimate of the amount of future precipitation is the most important factor in making...
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