DOI: 10.1007/s00382-014-2182-9
Scopus记录号: 2-s2.0-84927560665
论文题名: Complex networks for climate model evaluation with application to statistical versus dynamical modeling of South American climate
作者: Feldhoff J.H. ; Lange S. ; Volkholz J. ; Donges J.F. ; Kurths J. ; Gerstengarbe F.-W.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 44, 期: 2017-05-06 起始页码: 1567
结束页码: 1581
语种: 英语
英文关键词: Climate model evaluation
; Complex networks
; Network comparison
; South American climate
英文摘要: In this study we introduce two new node-weighted difference measures on complex networks as a tool for climate model evaluation. The approach facilitates the quantification of a model’s ability to reproduce the spatial covariability structure of climatological time series. We apply our methodology to compare the performance of a statistical and a dynamical regional climate model simulating the South American climate, as represented by the variables 2 m temperature, precipitation, sea level pressure, and geopotential height field at 500 hPa. For each variable, networks are constructed from the model outputs and evaluated against a reference network, derived from the ERA-Interim reanalysis, which also drives the models. We compare two network characteristics, the (linear) adjacency structure and the (nonlinear) clustering structure, and relate our findings to conventional methods of model evaluation. To set a benchmark, we construct different types of random networks and compare them alongside the climate model networks. Our main findings are: (1) The linear network structure is better reproduced by the statistical model statistical analogue resampling scheme (STARS) in summer and winter for all variables except the geopotential height field, where the dynamical model CCLM prevails. (2) For the nonlinear comparison, the seasonal differences are more pronounced and CCLM performs almost as well as STARS in summer (except for sea level pressure), while STARS performs better in winter for all variables. © 2014, The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54201
Appears in Collections: 过去全球变化的重建
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作者单位: Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, Potsdam, Germany; Department of Physics, Humboldt University, Newtonstr. 15, Berlin, Germany; Stockholm Resilience Center, Stockholm University, Kräftriket 2B, Stockholm, Sweden; Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen, United Kingdom; Department of Geography, Humboldt University, Rudower Chaussee 16, Berlin, Germany
Recommended Citation:
Feldhoff J.H.,Lange S.,Volkholz J.,et al. Complex networks for climate model evaluation with application to statistical versus dynamical modeling of South American climate[J]. Climate Dynamics,2015-01-01,44(2017-05-06)