Spatio-Temporal Correlation Analysis of Global Temperature Based on the Correlat

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Spatio-Temporal Correlation Analysis of Global Temperature Based on the Correlation Matrix Theory

TBased on the NCEP/NCAR reanalysis daily mean temperature data from 1948 to 2005 and random time series of the same size, temperature correlation matrixes (TCMs) and random correlation matrixes (RCMs) are constructed and compared. The results show that there are meaningful true correlations as well as correlation "noises" in the TCMs. The true correlations contain short range correlations (SRCs) among temperature series of neighboring grid points as well as long range correlations (LRCs) among temperature series of different regions, such as the El Ni o area and the warm pool areas of the Pacific, the Indian Ocean, the Atlantic, etc. At different time scales, these two kinds of correlations show different features: at 1-10-day scale, SRCs are more important than LRCs; while at 15-day-or-more scale, the importance of SRCs and LRCs decreases and increases respectively, compared with the case of 1-10-day scale. It is found from the analyses of eigenvalues and eigenvectors of TCMs and corresponding RCMs that most correlation information is contained in several eigenvectors of TCMs with relatively larger eigenvalues, and the projections of global temperature series onto these eigenvectors are able to reflect the overall characteristics of global temperature changes to some extent. Besides, the correlation coefficients (CCs) of grid point temperature series show significant temporal and spatial variations. The average CCs over 1950-1956, 1972 1977, and 1996 2000 axe significantly higher than average while that over the periods 1978-1982 and 1991 1996 are opposite, suggesting a distinctive oscillation of quasi-10-20 yr. Spatially, the CCs at 1- and 15-day scales both show band-like zonal distributions; the zonally averaged CCs at 1-day scale display a better latitudinal symmetry, while they are relatively worse at 15-day scale because of sea-land contrast of the Northern and Southern Hemisphere. However, the meridionally averaged CCs at 15-day scale display a longitudinal quasi-symmetry.

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作 者: ZHI Rong FENG Guolin ZHOU Lei GONG Zhiqiang  
作者单位:ZHI Rong(Department of Physics, Yangzhou University, Yangzhou 225009;Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atomspheric Physics, Chinese Academy of Sciences, Beijing 100029)
'Lb0fX6y0FENG Guolin(Department of Physics, Yangzhou University, Yangzhou 225009;Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atomspheric Physics, Chinese Academy of Sciences, Beijing 100029;Laboratory for Climate Studies, National Climate Center, China Meteorological Administration, Beijing 100081)水利论文)dZ!U9nm4H zB
ZHOU Lei(Department of Physics, Yangzhou University, Yangzhou 225009)
y-h[6A.a8vp0GONG Zhiqiang(Department of Physics, Yangzhou University, Yangzhou 225009;Laboratory for Climate Studies, National Climate Center, China Meteorological dministration, Beijing 100081) 
刊 名:气象学报(英文版)  SCI
英文刊名:ACTA METEOROLOGICA SINICA 
年,卷(期):2010 24(2) 
分类号:P4 
关键词:matrix theory   correlation coefficient   eigenvalue   eigenvector   spatial distribution  
机标关键词:TheoryMatrixCorrelationBasedcorrelationdifferenttemperature changestemperature dataCCsdisplayLRCsIndian Oceantime seriesthe Pacificsignificantinformationwarm pooldecreasesSouthernRCMs 
基金项目:the National Natural Science Foundation of China,the National Basic Research Program of China,the National Science & Technology Support Program of China 
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