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arXiv 1902.08464physics.ao-phcond-mat.stat-mechnlin.CDphysics.flu-dynphysics.geo-ph
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大气阻塞事件的一个新的数学框架

A New Mathematical Framework for Atmospheric Blocking Events

Valerio Lucarini, Andrey Gritsun

摘要:

我们使用一个简单的但类似地球的大气模式,提出了一个新的框架来理解阻塞事件的数学。沿着一个很长的模型轨迹分析误差增长率,我们表明,阻塞与大气的高度不稳定性的条件。此外,阻塞的寿命与这种异常的强度正相关,这与直觉相反。在大西洋阻塞的情况下,可预测性特别是在阻塞的开始和衰减减少,而相对增加的可预测性被发现在成熟阶段,而相反的情况下,太平洋阻塞,其可预测性是最低的成熟阶段。我们将阻塞与一类特定的不稳定周期轨道(UPO)相关联,这些不稳定周期轨道是覆盖系统吸引子的自然变化模式。UPO在不稳定性方面有很大的不同,这解释了大气在可预测性方面的多样性。与封锁有关的UPO确实非常不稳定,这导致它们很少被访问。当系统的轨迹跳跃到这些特殊的UPO之一时,阻塞的开始就发生了。衰减发生时,轨迹跳回到附近的通常,不稳定的UPO与纬向流。这证明了经典的马尔可夫链为基础的天气制度之间的转换分析。不稳定流形的维数不同的不稳定点的存在表明了模型中对双曲性的强烈违反,这导致了结构稳定性的缺乏。我们认为这可能是大气模式的一个通用特征,并且可能是代表当前气候阻塞的困难和预测其统计数据如何由于气候变化而变化的不确定性背后的根本原因。

英文摘要:

We use a simple yet Earth-like atmospheric model to propose a new framework for understanding the mathematics of blocking events. Analysing error growth rates along a very long model trajectory, we show that blockings are associated with conditions of anomalously high instability of the atmosphere. Additionally, the lifetime of a blocking is positively correlated with the intensity of such an anomaly, against intuition. In the case of Atlantic blockings, predictability is especially reduced at the onset and decay of the blocking, while a relative increase of predictability is found in the mature phase, while the opposite holds for Pacific blockings, for which predictability is lowest in the mature phase. We associate blockings to a specific class of unstable periodic orbits (UPOs), natural modes of variability that cover the attractor of the system. The UPOs differ substantially in terms of instability, which explains the diversity of the atmosphere in terms predictability. The UPOs associated to blockings are indeed anomalously unstable, which leads to them being rarely visited. The onset of a blocking takes place when the trajectory of the system hops into the neighbourhood of one of these special UPOs. The decay takes place when the trajectory hops back to the neighbourhood of usual, less unstable UPOs associated with zonal flow. This justifies the classical Markov chains-based analysis of transitions between weather regimes. The existence of UPOs differing in the dimensionality of their unstable manifold indicates a very strong violation of hyperbolicity in the model, which leads to a lack of structural stability. We propose that this is could be a generic feature of atmospheric models and might be a fundamental cause behind difficulties in representing blockings for the current climate and uncertainties in predicting how their statistics will change as a result of climate change.

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