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基于原型分析揭示的大规模海洋热浪视图。

A large-scale view of marine heatwaves revealed by archetype analysis.

机构信息

CSIRO Oceans and Atmosphere, Hobart Marine Laboratories, Castray Esplanade, Hobart, Tasmania, Australia.

Center for Southern Hemisphere Ocean Research, Hobart Marine Laboratories, Castray Esplanade, Hobart, Tasmania, Australia.

出版信息

Nat Commun. 2022 Dec 21;13(1):7843. doi: 10.1038/s41467-022-35493-x.

Abstract

Marine heatwaves can have disastrous impacts on ecosystems and marine industries. Given their potential consequences, it is important to understand how broad-scale climate variability influences the probability of localised extreme events. Here, we employ an advanced data-mining methodology, archetype analysis, to identify large scale patterns and teleconnections that lead to marine extremes in certain regions. This methodology is applied to the Australasian region, where it identifies instances of anomalous sea-surface temperatures, frequently associated with marine heatwaves, as well as the broadscale oceanic and atmospheric conditions associated with those extreme events. Additionally, we use archetype analysis to assess the ability of a low-resolution climate model to accurately represent the teleconnection patterns associated with extreme climate variability, and discuss the implications for the predictability of these impactful events.

摘要

海洋热浪会对生态系统和海洋产业造成灾难性的影响。鉴于其潜在的后果,了解大范围的气候变化如何影响局部极端事件的发生概率非常重要。在这里,我们采用了一种先进的数据挖掘方法,即原型分析,来识别导致某些地区海洋极端事件的大尺度模式和遥相关关系。该方法应用于澳大拉西亚地区,识别出异常海表温度的实例,这些温度通常与海洋热浪有关,以及与这些极端事件相关的大尺度海洋和大气条件。此外,我们还使用原型分析来评估低分辨率气候模型准确表示与极端气候变化相关的遥相关模式的能力,并讨论这些影响深远的事件的可预测性的意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02df/9772210/8aa1dae2cbe9/41467_2022_35493_Fig1_HTML.jpg

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