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    Probabilistic Forecasts of the Onset of the North Australian Wet Season 

    Source: Monthly Weather Review:;2007:;volume( 135 ):;issue: 010:;page 3506
    Author(s): Lo, Fiona; Wheeler, Matthew C.; Meinke, Holger; Donald, Alexis
    Publisher: American Meteorological Society
    Abstract: The amount and timing of early wet-season rainfall are important for the management of many agricultural industries in north Australia. With this in mind, a wet-season onset date is defined based on the accumulation of ...
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    Inferential, Nonparametric Statistics to Assess the Quality of Probabilistic Forecast Systems 

    Source: Monthly Weather Review:;2007:;volume( 135 ):;issue: 002:;page 351
    Author(s): Maia, Alinede H. N.; Meinke, Holger; Lennox, Sarah; Stone, Roger
    Publisher: American Meteorological Society
    Abstract: Many statistical forecast systems are available to interested users. To be useful for decision making, these systems must be based on evidence of underlying mechanisms. Once causal connections between the mechanism and its ...
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    Impacts of the Madden–Julian Oscillation on Australian Rainfall and Circulation 

    Source: Journal of Climate:;2009:;volume( 022 ):;issue: 006:;page 1482
    Author(s): Wheeler, Matthew C.; Hendon, Harry H.; Cleland, Sam; Meinke, Holger; Donald, Alexis
    Publisher: American Meteorological Society
    Abstract: Impacts of the Madden?Julian oscillation (MJO) on Australian rainfall and circulation are examined during all four seasons. The authors examine circulation anomalies and a number of different rainfall metrics, each composited ...
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    Rainfall Variability at Decadal and Longer Time Scales: Signal or Noise? 

    Source: Journal of Climate:;2005:;volume( 018 ):;issue: 001:;page 89
    Author(s): Meinke, Holger; deVoil, Peter; Hammer, Graeme L.; Power, Scott; Allan, Robert; Stone, Roger C.; Folland, Chris; Potgieter, Andries
    Publisher: American Meteorological Society
    Abstract: Rainfall variability occurs over a wide range of temporal scales. Knowledge and understanding of such variability can lead to improved risk management practices in agricultural and other industries. Analyses of temporal ...
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