Shows improved forecasting in weather and seasonal climate, indicating strengths of multimodel ensembles.
In this paper the performance of a multimodel ensemble forecast analysis that shows superior forecast skills is illustrated and compared to all individual models used. The model comparisons include global weather, hurricane track and intensity forecasts, and seasonal climate simulations. The performance improvements are completely attributed to the collective information of all models used in the statistical algorithm.
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Krishnamurti et al. (2000) studied this question.
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