Eigen analysis has been a powerful tool to distinguish multiple processes into different simple principal modes in complex systems. For a non-equilibrium system, the principal modes corresponding to the non-equilibrium processes are usually evolving with time. Here, we apply the eigen analysis into the complex climate systems. In particular, based on the daily surface air temperature in the tropics (30° S–30° N, 0° E–360° E) between 1979-01-01 and 2016-12-31, we uncover that the strength of two dominated intra-annual principal modes represented by the eigenvalues significantly changes with the El Ni ##IMG## [http://ej.iop.org/images/1367-2630/22/9/093077/njpabb89aieqn1.gif] {$\tilde {\mathrm{n}}$} o/southern oscillation from year to year. Specifically, according to the ‘regional correlation’ introduced for the first intra-annual principal mode, we find that a sharp positive peak of the correlation between the El Ni ##IMG## {$\tilde {\mathrm{n}}...}

中文翻译：

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气候动力学主要模式的演化机制

特征分析一直是将复杂系统中的多个过程区分为不同的简单主体模式的强大工具。对于非平衡系统，与非平衡过程相对应的主要模式通常随时间发展。在这里，我们将本征分析应用于复杂的气候系统。特别是，根据1979-01-01至2016-12-31之间热带地区的每日地面气温（30°S–30°N，0°E–360°E），我们发现两者的强度由特征值表示的主导的年内主模随着El Ni的变化显着[http://ej.iop.org/images/1367-2630/22/9/093077/njpabb89aieqn1.gif] {$ \ tilde {\ mathrm {n}} $} o /南方振荡每年都在变化。具体来说，根据为第一个年度内主要模式引入的“区域相关性”，