DOI: 10.1007/s00382-011-1077-2
Scopus记录号: 2-s2.0-84855317104
论文题名: Use of variability modes to evaluate AR4 climate models over the Euro-Atlantic region
作者: Casado M.J. ; Pastor M.A.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2012
卷: 38, 期: 2017-01-02 起始页码: 225
结束页码: 237
语种: 英语
英文关键词: AR4
; ERA40
; Euro-Atlantic region
; GCMs
; Variability modes
英文摘要: This paper analyzes the ability of the multi-model simulations from the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) to simulate the main leading modes of variability over the Euro-Atlantic region in winter: the North-Atlantic Oscillation (NAO), the Scandinavian mode (SCAND), the East/Atlantic Oscillation (EA) and the East Atlantic/Western Russia mode (EA/WR). These modes of variability have been evaluated both spatially, by analyzing the intensity and location of their anomaly centres, as well as temporally, by focusing on the probability density functions and e-folding time scales. The choice of variability modes as a tool for climate model assessment can be justified by the fact that modes of variability determine local climatic conditions and their likely change may have important implications for future climate changes. It is found that all the models considered are able to simulate reasonably well these four variability modes, the SCAND being the mode which is best spatially simulated. From a temporal point of view the NAO and SCAND modes are the best simulated. UKMO-HadGEM1 and CGCM3. 1(T63) are the models best at reproducing spatial characteristics, whereas CCSM3 and CGCM3. 1(T63) are the best ones with regard to the temporal features. GISS-AOM is the model showing the worst performance, in terms of both spatial and temporal features. These results may bring new insight into the selection and use of specific models to simulate Euro-Atlantic climate, with some models being clearly more successful in simulating patterns of temporal and spatial variability than others. © 2011 Springer-Verlag. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/55414
Appears in Collections: 过去全球变化的重建
There are no files associated with this item.
作者单位: Agencia Estatal de Meteorología (AEMET), Leonardo Prieto Castro 8, 28040 Madrid, Spain
Recommended Citation:
Casado M.J.,Pastor M.A.. Use of variability modes to evaluate AR4 climate models over the Euro-Atlantic region[J]. Climate Dynamics,2012-01-01,38(2017-01-02)