Geodesic vortex detection on curved surfaces: Analyzing the 2002 austral stratospheric polar vortex warming event.

IF 2.7 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2025-05-01 DOI:10.1063/5.0256314
F Andrade-Canto, F J Beron-Vera, G Bonner
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引用次数: 0

Abstract

Geodesic vortex detection is a tool in nonlinear dynamical systems to objectively identify transient vortices with flow-invariant boundaries that defy the typical deformation found in 2D turbulence. Initially formulated for flows on the Euclidean plane with Cartesian coordinates, we have extended this technique to flows on 2D Riemannian manifolds with arbitrary coordinates. This extension required further formulation of the concept of objectivity on manifolds. Moreover, a recently proposed birth-and-death vortex framing algorithm, based on geodesic detection, has been adapted to address the limited temporal validity of 2D motion in otherwise 3D flows, like those found in the Earth's stratosphere. With these adaptations, we focused on the Lagrangian, i.e., kinematic, aspects of the austral stratospheric polar vortex during the exceptional sudden warming event of 2002, which resulted in the splitting of the vortex. This study involved applying geodesic vortex detection to isentropic winds from reanalysis data. We provide a detailed analysis of the vortex's life cycle, covering its birth, splitting process, and eventual death. In addition, we offer new kinematic insights into ozone depletion within the vortex.

曲面上的测地线涡旋探测:分析2002年南方平流层极地涡旋变暖事件。
测地线涡流检测是非线性动力系统中的一种工具,可以客观地识别二维湍流中具有流动不变边界的瞬态涡流。最初为欧几里得平面上具有笛卡尔坐标的流动而制定,我们将该技术扩展到具有任意坐标的二维黎曼流形上的流动。这种扩展需要进一步阐述流形上的客观性概念。此外,最近提出的一种基于测地线检测的生与死涡旋框架算法,已被用于解决二维运动在其他3D流动中的有限时间有效性,如在地球平流层中发现的那些。有了这些适应,我们将重点放在了2002年异常突然变暖事件期间导致涡旋分裂的南方平流层极地涡旋的拉格朗日,即运动学方面。本研究涉及利用再分析数据对等熵风进行测地涡旋探测。我们详细分析了涡旋的生命周期,包括它的诞生、分裂过程和最终的死亡。此外,我们为涡旋内的臭氧消耗提供了新的运动学见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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