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Each model simulates the Earth system processes that influence weather patterns in slightly different ways, makes slightly different approximations, leading to different kinds of model error. The accumulated model errors become significant in comparison to the signal that the model is meant to be predictedpredict. Some of those such errors are shared by the different models but others are not, so combining the output from a number of models enables a more realistic representation of the uncertainties due to model error. The current scientific knowledge have shown that, in In most cases, such combined forecasts are, on average, more skilful than forecasts from the best of the individual models.
Currently, there are graphical products available in the C3S seasonal service offers graphical forecast products, available on the C3S web site, and public access to the forecast data is provided , via the C3S Climate Data Store (CDS).
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