气候变化领域集成服务门户(CCPortal): Diagnosing concurrent drivers of weather extremes: application to warm and cold days in North America

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DOI	10.1007/s00382-019-05106-3
	Diagnosing concurrent drivers of weather extremes: application to warm and cold days in North America
	Faranda D.; Messori G.; Yiou P.
发表日期	2020
ISSN	0930-7575
起始页码	2187
结束页码	2201
卷号	54
英文摘要	A fundamental challenge in climate science is decomposing the concurrent drivers of weather extremes in observations. Achieving this can provide insights into the drivers of individual extreme events as well as into possible future changes in extreme event frequencies under greenhouse forcing. In the present work, we exploit recent results from dynamical systems theory to study the co-variation and recurrence statistics of different atmospheric variables. Specifically, we present a methodology to quantify the recurrences of bivariate variables and the coupling between distinct univariate variables in terms of their joint recurrences. The coupling is defined by a parameter which varies according to the chosen variables, season, and domain and can be understood in terms of the underlying physics of the atmosphere. For suitably chosen variables, this approach enables to decompose the different drivers of weather extremes. Here, we compute the above metrics for near-surface temperature and sea level pressure, and use them to study warm or cold days over North America. We first identify states where temperature is strongly or weakly coupled to the large-scale atmospheric circulation, and then elucidate the interplay between coupling and the occurrence of temperature extremes. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Analogues; Climate dynamics; Dynamical systems theory; Weather extremes
语种	英语
scopus关键词	atmospheric circulation; climate change; climate variation; extreme event; sea level pressure; surface temperature; North America
来源期刊	Climate Dynamics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/145587
作者单位	Laboratoire des Sciences du Climat et de l’Environnement LSCE-IPSL, CEA Saclay l’Orme des Merisiers, UMR 8212 CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, 91191, France; London Mathematical Laboratory, 8 Margravine Gardens, London, W68RH, United Kingdom; Department of Earth Sciences, Uppsala University, Uppsala, Sweden; Department of Meteorology and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
推荐引用方式 GB/T 7714	Faranda D.,Messori G.,Yiou P.. Diagnosing concurrent drivers of weather extremes: application to warm and cold days in North America[J],2020,54.
APA	Faranda D.,Messori G.,&Yiou P..(2020).Diagnosing concurrent drivers of weather extremes: application to warm and cold days in North America.Climate Dynamics,54.
MLA	Faranda D.,et al."Diagnosing concurrent drivers of weather extremes: application to warm and cold days in North America".Climate Dynamics 54(2020).