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中文摘要：
采用聚类统计检验分析和旋转主分量分析相结合确定中心站的方法，利用我国多年极端气温资料，对我国最高和最低气温年际变化型态进行区划。结果表明，这两种方法结合可以互相补充。使分区结果更具客观性。中国极端高温和极端低温年际变化分别可划为12和11个不同类型的区域。分别计算了各区域第一主成分的方差贡献率以及各区域之间的两两相关系数，检验证明分区是合理的。
英文摘要：
The yearly characteristics of maximum and minimum temperature fields are zoned in China with the method of the combine of the Clustering Analysis with Statistic Test（CAST） and the rotating principal component. Rotating Principal Component（RPCA） is used to find the center stations with maximum loading values in every eigenvector field. Basing this center stations, extreme temperature fields are divided into different regions by the CAST. The result shows that the two methods can supplement each other, not only evading the subjectivity of REOF zoning but also overcoming the uncertainty of selecting center stations in cluster analysis method. The yearly characteristics of maximum and minimum temperatures fields in China can be divided respectively into 12 and 11 regions. The ratio of variance contributes of the first principal component and the pairwise correlation coefficients of every region arecalculated. The results show that the zoning is reasonable. This compound method can be further used in the research on rules of regional climate differentiation.
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