Department of Nonlinear Dynamics and Complex Systems, Institute of Computer Science, Academy of Sciences of the Czech Republic, Pod vodárenskou věží 2, 182 07 Prague 8, Czech Republic.
Phys Rev Lett. 2014 Feb 21;112(7):078702. doi: 10.1103/PhysRevLett.112.078702.
Interactions between dynamics on different temporal scales of about a century long record of data of the daily mean surface air temperature from various European locations have been detected using a form of the conditional mutual information, statistically tested using the Fourier-transform and multifractal surrogate data methods. An information transfer from larger to smaller time scales has been observed as the influence of the phase of slow oscillatory phenomena with the periods around 6-11 yr on the amplitudes of the variability characterized by the smaller temporal scales from a few months to 4-5 yr. The overall effect of the slow oscillations on the interannual temperature variability within the range 1-2 ° C has been observed in large areas of Europe.
利用条件互信息的一种形式，检测了来自欧洲各地的大约一个世纪的日平均地表空气温度数据记录的不同时间尺度上的动态之间的相互作用，该信息使用傅里叶变换和多重分形替代数据方法进行了统计检验。观测到了从较大时间尺度到较小时间尺度的信息传递，因为具有约 6-11 年周期的缓慢振荡现象的相位对较小时间尺度（从几个月到 4-5 年）的变异性幅度的影响。在整个欧洲的大部分地区都观察到了缓慢波动对 1-2°C 范围内的年际温度变异性的总体影响。
