Empirical techniques are developed to adjust dynamic model forecasts on the seasonal time scale for southern African summer rainfall. The techniques, perfect prognosis and model output statistics (MOS), are utilized to ‘recalibrate’ the CSIRO 9 general circulation model (GCM) large‐scale fields statistically to three equi‐probable rainfall categories for December to February. The recalibration is applied to a GCM experiment where simultaneously observed sea‐surface temperature fields serve as the lower boundary forcing. An optimal canonical correlation analysis model is designed for MOS and perfect prognosis and the 700 hPa geopotential height field is selected as the single predictor field in the two sets of statistical equations that are subsequently used to produce recalibrated rainfall simulations over a 10 year independent test period. MOS produced the higher forecast skill for southern Africa over the independent test period.
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Bartman et al. (2003) studied this question.
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