论文标题

了解厄尔尼诺 - 南方振荡中极端事件的起源

Understanding the origin of extreme events in El Niño-Southern Oscillation

论文作者

Ray, Arnob, Rakshit, Sarbendu, Basak, Gopal K., Dana, Syamal K., Ghosh, Dibakar

论文摘要

我们研究了一个低维的慢速模型,以了解厄尔尼诺 - 南方振荡的动态起源。使用几个分叉图对系统动力学的仔细检查表明,吸引子的突然大扩张是通过一种内部危机在关键系统参数处发生的。这场内部危机通过融合一系列级联时期和周期添加分叉,从而导致偶尔振幅调制的极大事件的起源。更明确地,与同型混乱相似的情况是在临界点附近发生的,但是,非典型的全球不稳定在系统的相空间中随着频道状结构而演变,它调节了偶尔的大事件的振幅变化和返回时间,并与同质层次的混乱有所不同。低维模型的缓慢快速时间尺度在偶尔发生的大型事件的开始中起着重要作用。这种极端事件的特征是它们的高度超过均值函数测量的阈值水平。事件高度的概率密度显示具有上限尾巴的多模式分布。我们使用自回归的集成移动平均模型和盒子图分析来确定间隔间间隔的依赖性结构,以了解此类极端事件的返回时间。

We investigate a low-dimensional slow-fast model to understand the dynamical origin of El Niño-Southern Oscillation. A close inspection of the system dynamics using several bifurcation plots reveals that a sudden large expansion of the attractor occurs at a critical system parameter via a type of interior crisis. This interior crisis evolves through merging of a cascade of period-doubling and period-adding bifurcations that leads to the origin of occasional amplitude-modulated extremely large events. More categorically, a situation similar to homoclinic chaos arises near the critical point, however, atypical global instability evolves as a channel-like structure in phase space of the system that modulates variability of amplitude and return time of the occasional large events and makes a difference from the homoclinic chaos. The slow-fast timescale of the low-dimensional model plays an important role on the onset of occasional extremely large events. Such extreme events are characterized by their heights when they exceed a threshold level measured by a mean-excess function. The probability density of events' height displays multimodal distribution with an upper-bounded tail. We identify the dependence structure of interevent intervals to understand the predictability of return time of such extreme events using autoregressive integrated moving average model and box plot analysis.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源