Articles | Volume 15, issue 11
Research article
07 Nov 2011
Research article |  | 07 Nov 2011

Long-range forecasting of intermittent streamflow

F. F. van Ogtrop, R. W. Vervoort, G. Z. Heller, D. M. Stasinopoulos, and R. A. Rigby

Related subject area

Subject: Catchment hydrology | Techniques and Approaches: Stochastic approaches
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Cited articles

Abawi, Y., Dutta, S., Zhang, X., and McClymont, D.: ENSO-based streamflow forecasting and its application to water allocation and cropping decisions – an Australian experience, Regional hydrological impacts of climate change – Impact assessment and decision making, Brazil, 346–354, 2005.
Acreman, M.: Linking science and decision-making: features and experience from environmental river flow setting, Environ. Modell. Softw., 20, 99–109, 2005.
Akaike, H.: A new look at the statistical model identification, IEEE T. Automat. Contr., 19, 716–723, 1974.
Alves, O., Wang, G., Zhong, A., Smith, N., Tzeitkin, F., Warren, G., Schiller, A., Godfrey, S., and Meyers, G.: POAMA: Bureau of Meteorology operational coupled model seasonal forecast system, Proceedings of the ECMWF Workshop on the Role of the Upper Ocean in Medium and Extended Range Forecasting, Reading, UK, 22–32, 2002.
Barros, A. P. and Bowden, G. J.: Toward long-lead operational forecasts of drought: An experimental study in the Murray-Darling River Basin, J. Hydrol., 357, 349–367, 2008.