Dynamical systems approaches to the study of climate with applications to 2022 extreme weather events

Davide Faranda
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Abstract

Between 1980 and 2020, extreme weather and climate change events have caused, in Europe, up to 520 billion euros in economic losses, according to a 2022 report released by the European Environment Agency. Many weather extreme events such as heatwaves, droughts, tropical cyclones and cold spells will change in frequency and/or intensity due to the ongoing anthropogenic climate change, driving our planet to unprecedented threats. From a theoretical point of view, such extreme events are difficult to characterize because they are rare and they do occur at specific spatiotemporal scales of the dynamics, not necessarily the largest or the smallest of the climate system. Their study requires a framework capable of tracking their probability of occurrence, predictability and persistence. In this manuscript I will describe how dynamical systems theory helps in building numerical and theoretical tools for weather extreme events, using recurrences of patterns termed analogues. These tools can be used to study whether climate change do already affect the dynamics of extremes. Three recent examples will be analysed in details, namely the Argentinian heatwave, the Greek cold spell and the windstorm Malik, all occurred in January 2022.
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采用动力系统方法研究气候,并将其应用于 2022 年极端天气事件
根据欧洲环境署发布的 2022 年报告,从 1980 年到 2020 年,极端天气和气候变化事件给欧洲造成了高达 5200 亿欧元的经济损失。热浪、干旱、热带气旋和寒流等许多极端天气事件的发生频率和/或强度都将因持续的人为气候变化而改变,使我们的地球面临前所未有的威胁。从理论角度看,这类极端事件很难定性,因为它们非常罕见,而且确实发生在特定的动态时空尺度上,不一定是气候系统中最大或最小的尺度。对它们的研究需要一个能够跟踪其发生概率、可预测性和持续性的框架。在本手稿中,我将介绍动力系统理论如何利用被称为 "类比 "的重现模式,帮助建立极端天气事件的数值和理论工具。这些工具可用于研究气候变化是否已经影响到极端事件的动态。本文将详细分析最近的三个例子,即阿根廷热浪、希腊寒流和马利克风暴,它们都发生在 2022 年 1 月。
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