This article analyzed the principal components of air temperature and sunshine, the two major climatic elements, and defined the dominant distribution patterns of secular temperature deviation (Fig.g) and sunshine-hour deviation (Fig.4).Furthermore, the group average method was used to obtain the similarity (or distance, Fig.5) among the clusters with the factor loading (Tab.3) that are related to the rise and fall of the dominant distribution patterns.It was regarded as the indexes of the regionalization to make the cluster analysis (Fig.6).Finally, the climatic regionalization (Fig.7) of air temperature and sunshine with time change in Northeast China was completed.It is a new method of the climatic regionalization combining the principal component analysis with the cluster analysis.It overcomes the short comings of subjectivity and nonunity of the regionalization indexes in traditional regionalizations.Meanwhile the article also indicated that the quantitative clima tic regionalization should be applied combining with the special climatic map (or available climatic map).We should promote the advantages and overcome the shortages in order to provide reliable scientific basis for arranging the agricultural production structure to suit the local conditions.