气候变化领域集成服务门户(CCPortal): Spectral analysis of climate dynamics with operator-theoretic approaches

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DOI	10.1038/s41467-021-26357-x
	Spectral analysis of climate dynamics with operator-theoretic approaches
	Froyland G.; Giannakis D.; Lintner B.R.; Pike M.; Slawinska J.
发表日期	2021
ISSN	2041-1723
卷号	12 期号:1
英文摘要	The Earth’s climate system is a classical example of a multiscale, multiphysics dynamical system with an extremely large number of active degrees of freedom, exhibiting variability on scales ranging from micrometers and seconds in cloud microphysics, to thousands of kilometers and centuries in ocean dynamics. Yet, despite this dynamical complexity, climate dynamics is known to exhibit coherent modes of variability. A primary example is the El Niño Southern Oscillation (ENSO), the dominant mode of interannual (3–5 yr) variability in the climate system. The objective and robust characterization of this and other important phenomena presents a long-standing challenge in Earth system science, the resolution of which would lead to improved scientific understanding and prediction of climate dynamics, as well as assessment of their impacts on human and natural systems. Here, we show that the spectral theory of dynamical systems, combined with techniques from data science, provides an effective means for extracting coherent modes of climate variability from high-dimensional model and observational data, requiring no frequency prefiltering, but recovering multiple timescales and their interactions. Lifecycle composites of ENSO are shown to improve upon results from conventional indices in terms of dynamical consistency and physical interpretability. In addition, the role of combination modes between ENSO and the annual cycle in ENSO diversity is elucidated. © 2021, The Author(s).
语种	英语
scopus关键词	annual cycle; annual variation; climate change; climate variation; cloud microphysics; El Nino-Southern Oscillation; micrometeorology; nature-society relations; spectral analysis; article; circannual rhythm; climate change; data science; El Nino; human; prediction; spectroscopy; theoretical study
来源期刊	Nature Communications
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/251307
作者单位	School of Mathematics and Statistics, University of New South Wales, Sydney, NSW 2052, Australia; Department of Mathematics and Center for Atmosphere Ocean Science, Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, United States; Department of Mathematics, Dartmouth College, Hanover, NH 03755, United States; Department of Environmental Sciences, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, United States; Center for Climate Physics, Institute for Basic Science (IBS), Busan, South Korea; Pusan National University, Busan, South Korea; Finnish Center for Artificial Intelligence, Department of Computer Science, University of Helsinki, Helsinki, 00560, Finland
推荐引用方式 GB/T 7714	Froyland G.,Giannakis D.,Lintner B.R.,et al. Spectral analysis of climate dynamics with operator-theoretic approaches[J],2021,12(1).
APA	Froyland G.,Giannakis D.,Lintner B.R.,Pike M.,&Slawinska J..(2021).Spectral analysis of climate dynamics with operator-theoretic approaches.Nature Communications,12(1).
MLA	Froyland G.,et al."Spectral analysis of climate dynamics with operator-theoretic approaches".Nature Communications 12.1(2021).