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In this talk,we will present some progresses in improving seasonal climate predictions by using more advanced mathematical methods.The first example is to rely on the basic properties of stochastic theory to develop an efficient technique for the extraction of climatically relevant singular vectors(CSV)in the presence of weather noise.Emphasis is placed on the applications of the CSV in seasonal climate predictions and to construct optimal ensemble climate predictions.