The QBO, the annual cycle, and their interactions: Isolating periodic modes with Koopman analysis

Claire Valva, Edwin P. Gerber
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Abstract

The Quasi-Biennial Oscillation (QBO) is the dominant mode of variability in the equatorial stratosphere. It is characterized by alternating descending easterly and westerly jets over a period of approximately 28 months. It has long been known that the QBO interactions with the annual cycle, e.g., through variation in tropical upwelling, leading to variations in the descent rate of the jets and, resultingly, the QBO period. Understanding these interactions, however, has been hindered by the fact that conventional measures of the QBO convolve these interactions. Koopman formalism, derived from dynamical systems, allows one to decompose spatio-temporal datasets (or nonlinear systems) into spatial modes that evolve coherently with distinct frequencies. We use a data-driven approximation of the Koopman operator on zonal-mean zonal-wind to find modes that correspond to the annual cycle, the QBO, and the nonlinear interactions between the two. From these modes, we establish a data-driven index for a "pure" QBO that is independent of the annual cycle and investigate how the annual cycle modulates the QBO. We begin with what is already known, quantifying the Holton-Tan effect, a nonlinear interaction between the QBO and the annual cycle of the polar stratospheric vortex. We then use the pure QBO to do something new, quantifying how the annual cycle changes the descent rate of the QBO, revealing annual variations with amplitudes comparable to the $30 \, \mathrm{m} \, \mathrm{day}^{-1}$ mean descent rate. We compare these results to the annual variation in tropical upwelling and interpret then with a simple model.
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QBO、年周期及其相互作用:利用库普曼分析法隔离周期模式
准两年涛动(QBO)是赤道平流层的主要变化模式。其特点是在大约 28 个月的时间里,东风喷流和西风喷流交替下降。人们早就知道,QBO 与年周期相互作用,如通过热带上升流的变化,导致喷流下降率的变化,从而导致 QBO 周期的变化。然而,由于 QBO 的传统测量方法涉及这些相互作用,因此对这些相互作用的理解受到阻碍。从动力系统中衍生出来的库普曼(Koopman)形式可以将时空数据集(或非线性系统)分解为以不同频率连贯演化的空间模式。我们使用 Koopman 算子的数据驱动近似值来计算平均带状风,以找到与年周期、QBO 以及两者之间的非线性相互作用相对应的模式。根据这些模式,我们建立了一个独立于年周期的 "纯 "QBO的数据驱动指数,并研究了年周期如何调节QBO。我们从已知的霍尔顿-坦效应(QBO 与极地平流层涡旋年周期之间的非线性相互作用)入手,对其进行量化。然后,我们利用纯粹的QBO来做一些新的事情,量化年周期是如何改变QBO的下降率的,揭示了振幅与30美元相当的年变化。\, \mathrm{day}^{-1}$ 平均下降率。我们将这些结果与热带上升流的年变化进行了比较,并用一个简单的模型进行了解释。
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