摘要
这份报纸为分数维图形 visualising 建议一个一般系统理论源于围住的更小的规模变化的时空集成的连续地更大的规模变化的出现。为时期 18802007/2008 的每月吝啬的温度的全球 gridded 时间系列数据集合被分析证明数据集合和相应力量系列近展出分布到模型预言的反的幂定律分发。为 interannual 可变性预言并且遵守通用光谱的模型在全球每月吝啬的温度排除线性世俗的趋势。在所有规模的变化的增强的全球温暖结果并且在高频率变化立即表明了。
This paper proposes a general systems theory for fractals visualising the emergence of successively larger scale fluctuations resulting from the space-time integration of enclosed smaller scale fluctuations. Global gridded time series data sets of monthly mean temperatures for the period 1880- 2007/2008 are analysed to show that data sets and corresponding power spectra exhibit distributions close to the model predicted inverse power law distribution. The model predicted and observed universal spectrum for interannual variability rules out linear secular trends in global monthly mean temperatures. Global warming results in intensification of fluctuations of all scales and manifested immediately in high frequency fluctuations.
关键词
月平均气温
温度异常
分形
高频波动
签名
特征
起伏
一般系统理论
Fractals and statistical normal distribution, golden mean and fractal fluctuations, long- range correlations and fat tail distributions, power law distributions.
