DOI: 10.1007/s00382-013-1729-5
Scopus记录号: 2-s2.0-84894944027
论文题名: Spatio-temporal network analysis for studying climate patterns
作者: Fountalis I. ; Bracco A. ; Dovrolis C.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2014
卷: 42, 期: 2017-03-04 起始页码: 879
结束页码: 899
语种: 英语
英文关键词: Model comparison
; Model validation
; Network analysis
; Spatial weighted networks
; Teleconnections
英文摘要: A fast, robust and scalable methodology to examine, quantify, and visualize climate patterns and their relationships is proposed. It is based on a set of notions, algorithms and metrics used in the study of graphs, referred to as complex network analysis. The goals of this approach are to explain known climate phenomena in terms of an underlying network structure and to uncover regional and global linkages in the climate system, while comparing general circulation models outputs with observations. The proposed method is based on a two-layer network representation. At the first layer, gridded climate data are used to identify "areas", i.e., geographical regions that are highly homogeneous in terms of the given climate variable. At the second layer, the identified areas are interconnected with links of varying strength, forming a global climate network. This paper describes the climate network inference and related network metrics, and compares network properties for different sea surface temperature reanalyses and precipitation data sets, and for a small sample of CMIP5 outputs. © 2013 Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54292
Appears in Collections: 过去全球变化的重建
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作者单位: College of Computing, Georgia Tech, Atlanta, GA, 30332-0280, United States; School of Earth and Atmospheric Sciences, Georgia Tech, Atlanta, GA, 30332-0340, United States; College of Computing, Georgia Tech, Atlanta, GA, 30332-0280, United States
Recommended Citation:
Fountalis I.,Bracco A.,Dovrolis C.. Spatio-temporal network analysis for studying climate patterns[J]. Climate Dynamics,2014-01-01,42(2017-03-04)