Application of Mean Generating Function-Optimal Subset Regressionto the Prediction of High Temperature Extremes
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Abstract:
According to the yearly high temperature extremes from 1961 to 1996 in Nanjing and other three cities, the short range climate prediction models are developed by use of mean generating function and optimal subset regression methods. The results show that they can not only fit the historical sequences perfectly, but also possess predictive capability for coming 1~5 years' changes to a certain extent.