Articles | Volume 20, issue 8
Research article
12 Aug 2016
Research article |  | 12 Aug 2016

ENSO-conditioned weather resampling method for seasonal ensemble streamflow prediction

Joost V. L. Beckers, Albrecht H. Weerts, Erik Tijdeman, and Edwin Welles

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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.
Anderson, E. A.: A Point Energy and Mass Balance Model of a Snow Cover', NOAA Technical Report NWS 19, NOAA, Silver Spring, MD, 1976.
Barnett, T. P.: The interaction of multiple time scales in the tropical climate system, J. Climate, 4, 269–285, 1991.
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,, 2015.
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.