Ergodicity analysis based on system clustering for temperature variation process of Beijing
基于系统聚类的北京气温变化过程遍历特征分析

The ergodicity analysis of temperature variation is significant for medium and long-term weather forecast.The ergodicity of the month-highest temperature,month- lowest temperature,and month- average temperature in Beijing was discussed in this study.Firstly,each kind of temperature was clustered applying the systematic clustering method by taking a month as the individual.Based on this,autocorrelogram was used to eliminate the periodicity series and ADF(Advanced Dickey & Fuller) was employed to test the sta...