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DOI | 10.1175/JCLI-D-17-0823.1 |
Heterogeneity of Scaling of the Observed Global Temperature Data | |
Blesic, Suzana; Zanchettin, Davide; Rubino, Angelo | |
2019 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2019 |
卷号 | 32期号:2页码:349-367 |
文章类型 | Article |
语种 | 英语 |
国家 | Italy |
英文摘要 | We investigated the scaling properties of two datasets of the observed near-surface global temperature data anomalies: the Met Office and the University of East Anglia Climatic Research Unit HadCRUT4 dataset and the NASA GISS Land-Ocean Temperature Index (LOTI) dataset. We used detrended fluctuation analysis of second-order (DFA2) and wavelet-based spectral (WTS) analysis to investigate and quantify the global pattern of scaling in two datasets and to better understand cyclic behavior as a possible underlying cause of the observed forms of scaling. We found that, excluding polar and parts of subpolar regions because of their substantial data inhomogeneity, the global temperature pattern is long-range autocorrelated. Our results show a remarkable heterogeneity in the long-range dynamics of the global temperature anomalies in both datasets. This finding is in agreement with previous studies. We additionally studied the DFA2 and the WTS behavior of the local station temperature anomalies and satellite-based temperature estimates and found that the observed diversity of global scaling can be attributed both to the intrinsic variability of data and to the methodology-induced variations that arise from deriving the global temperature gridded data from the original local sources. Finally, we found differences in global temperature scaling patterns of the two datasets and showed instances where spurious scaling is introduced in the global datasets through a spatial infilling procedure or the optimization of integrated satellite records. |
英文关键词 | Climate variability Surface temperature Numerical analysis modeling Spectral analysis models distribution Time series Climate variability |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000453905500001 |
WOS关键词 | DETRENDED FLUCTUATION ANALYSIS ; SEA-SURFACE TEMPERATURE ; LONG-RANGE CORRELATIONS ; POWER-LAW PERSISTENCE ; CLIMATE MODELS ; TIME-SERIES ; IN-SITU ; TERM PERSISTENCE ; EL-NINO ; VARIABILITY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20946 |
专题 | 气候变化 |
作者单位 | Ca Foscari Univ Venice, Dept Environm Sci Informat & Stat, Sci Campus, Mestre Venice, Italy |
推荐引用方式 GB/T 7714 | Blesic, Suzana,Zanchettin, Davide,Rubino, Angelo. Heterogeneity of Scaling of the Observed Global Temperature Data[J]. JOURNAL OF CLIMATE,2019,32(2):349-367. |
APA | Blesic, Suzana,Zanchettin, Davide,&Rubino, Angelo.(2019).Heterogeneity of Scaling of the Observed Global Temperature Data.JOURNAL OF CLIMATE,32(2),349-367. |
MLA | Blesic, Suzana,et al."Heterogeneity of Scaling of the Observed Global Temperature Data".JOURNAL OF CLIMATE 32.2(2019):349-367. |
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