Articles | Volume 20, issue 8
Hydrol. Earth Syst. Sci., 20, 3277–3287, 2016
https://doi.org/10.5194/hess-20-3277-2016

Special issue: Sub-seasonal to seasonal hydrological forecasting

Hydrol. Earth Syst. Sci., 20, 3277–3287, 2016
https://doi.org/10.5194/hess-20-3277-2016

Research article 12 Aug 2016

Research article | 12 Aug 2016

ENSO-conditioned weather resampling method for seasonal ensemble streamflow prediction

Joost V. L. Beckers et al.

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Cited articles

Abudu, S., King, J. P., and Pagano, T. C.: Application of Partial Least-Squares Regression in Seasonal Streamflow Forecasting, J. Hydrol. Eng., 8, 612–623, 2010.
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Beebee, R. A. and Manga, M.: Variation in the relationship between snowmelt runoff in Oregon and ENSO and PDO, J. Am. Water Resour. Assoc., 40, 1011–1024, 2004.
Bradley, A. A., Habib, M., and Schwartz, S. S.: Climate index weighting of ensemble streamflow forecasts using a simple Bayesian approach, Water Resour. Res., 51, 7382–7400, https://doi.org/10.1002/2014WR016811, 2015.
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Short summary
Oceanic–atmospheric climate modes, such as El Niño–Southern Oscillation (ENSO), are known to affect the streamflow regime in many rivers around the world. A new method is presented for ENSO conditioning of the ensemble streamflow prediction (ESP) method, which is often used for seasonal streamflow forecasting. The method was tested on three tributaries of the Columbia River, OR. Results show an improvement in forecast skill compared to the standard ESP.