In recent times, there has been a growing interest in understanding precipitation variability and its predictability for periods of a few months to several years. Our work consisted of studying climatic changes in the northeastern region of Algeria based on multivariate analysis of the annual rainfall. Variability of annual rainfall was analyzed using principal component analysis (PCA) and non-hierarchical classification (cluster method). For spatial rainfall variability, due to the complexity of the region, we used the method inverse distance weighted cartography modeling. Results indicate PCA represented the accumulated yearly rainfall of correlated fields on an annual scale, only the years 1971, 1985, 1995, and 2002 had a rather high degree of correlation, translating the homogeneity of annual distribution of precipitation. Cluster method demonstrated the certainty of three groups. The first group was characterized by regions of distinguishable climatic types, such as Mediterranean climate. The second group was characterized by the Tellian Atlas, while the third group was characterized by high plateaus. Spatial analysis of average decade rainfall shows that the isohyet curves of 750 mm in the center of the study region are shifting to the south, and that the Mediterranean regime rainfall affects all the northern region.

近年来，人们对了解几个月到几年的降水变化及其可预测性的兴趣日益浓厚。我们的工作是基于对年降雨量的多元分析，研究阿尔及利亚东北地区的气候变化。使用主成分分析（PCA）和非分层分类（聚类法）分析了年降雨量的变化性。对于空间降雨的可变性，由于该区域的复杂性，我们使用了反距离加权制图建模方法。结果表明PCA代表了相关领域的年累积降水量，只有1971、1985、1995和2002年具有较高的相关度，这转化了降水年分布的均匀性。聚类法证明了三组的确定性。第一组的特点是气候类型各异，例如地中海气候。第二组的特征是Tellian Atlas，而第三组的特征是高原。对平均十年降水量的空间分析表明，研究区域中心的750毫米等温曲线正在向南移动，而地中海地区的降雨影响了整个北部地区。