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气候网络研究新进展
引用本文:邹勇,DONGES F.Jonathan,KURTHS Jürgen.气候网络研究新进展[J].复杂系统与复杂性科学,2011,8(1):27-38.
作者姓名:邹勇  DONGES F.Jonathan  KURTHS Jürgen
作者单位:邹勇,ZOU Yong(波茨坦气候影响研究所,波茨坦,14473);DONGES F.Jonathan,KURTHS Jürgen,DONGES F.Jonathan,KURTHS Jürgen(柏林洪堡大学物理系,柏林,12489)
基金项目:莱布尼茨协会ECONS项目,德国联邦研究教育部PROGRESS项目
摘    要:复杂气候网络的方法是识别分析地球气候系统时空斑图的强有力工具,有助于加深潜在物理过程的认识.简要概述当前复杂网络方法在地球气候系统中的应用,对于所取得的成果做一个阶段性小结.就这一热点问题,讨论存在的主要问题,提出一些解决的办法,并且强调复杂网络方法必须和地球物理过程中的气候学问题紧密相连,同时还指出非线性方法在这一问...

关 键 词:气候网络  相互作用网络  时空斑图  非线性时间序列分析

Recent Advances in Complex Climate Network Analysis
Authors:ZOU Yong  DONGES FJonathan  KURTHS Jürgen
Institution:ZOU Yong1,DONGES F.Jonathan1,2,KURTHS Jürgen1,2(1.Potsdam Institute for Climate Impact Research,14473 Potsdam,Germany,2.Department of Physics,Humboldt University Berlin,12489 Berlin,Germany)
Abstract:The complex climate network approach provides a compelling perspective for identifying and analyzing spatial and temporal patterns in the Earth′s climate system,which are deepening our understanding for the underlying physical processes.We review some recent results published in the literature,discuss the main problems of climate network research and provide some feasible solutions.We suggest that the use of complex network approaches has to be tailored carefully to the purpose of investigating climatological problems and geophysical processes.We further point out the importance of applying nonlinear measures of time series analysis for constructing climate network.
Keywords:complex climate network  interaction networks  spatio-temporal patterns  nonlinear time series analysis  
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