DOI: 10.1007/s00382-016-2983-0
Scopus记录号: 2-s2.0-84961564402
论文题名: A novel method for detecting abrupt dynamic change based on the changing Hurst exponent of spatial images
作者: He W.-P. ; Liu Q.-Q. ; Gu B. ; Zhao S.-S.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 47, 期: 2017-07-08 起始页码: 2561
结束页码: 2571
语种: 英语
英文关键词: Abrupt change detection
; Hurst exponent
; Spatial image
; Two-dimensional detrended fluctuation analysis
英文摘要: The climate system is a classical spatiotemporal evolutionary dynamic system with spatiotemporal correlation characteristics. Based on this, two-dimensional detrended fluctuation analysis (TD-DFA) is used to estimate the Hurst exponent of two-dimensional images. Then, we monitored the change of the Hurst exponent of the images to identify an abrupt dynamic change. We tested the performance of this method with a coupled spatiotemporal dynamic model and found that it works well. The changes in the Hurst exponents of the spatial images are stable when there is no dynamic change in the system, but there will be a clear non-stationary change of the Hurst exponents; for example, the abrupt mean values change if the dynamics of the system change. Thus, the TD-DFA method is suitable for detecting an abrupt dynamic change from natural and artificial images. The spatial images of the NCEP reanalysis of the daily average temperature exhibited fractality. Based on this, we found three non-stationary changes in the Hurst exponents for the NCEP reanalysis of the daily average temperature or for the annual average temperature in the region (60°S–60°N). It can be concluded that the climate system may have incurred three dynamic changes since 1961 on decadal timescales, i.e., in approximately the mid-1970s, the mid-1980s, and between the late 1990s and the early 2000s. © 2016, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53521
Appears in Collections: 过去全球变化的重建
There are no files associated with this item.
作者单位: National Climate Center, China Meteorological Administration, Beijing, China; College of Physics, Nanjing University of Information Science and Technology, Nanjing, China; Institute of Space Weather, Nanjing University of Information Science and Technology, Nanjing, China; The Key Laboratory for Aerosol-Cloud-Precipitation of CMA-NUIST, Nanjing, China
Recommended Citation:
He W.-P.,Liu Q.-Q.,Gu B.,et al. A novel method for detecting abrupt dynamic change based on the changing Hurst exponent of spatial images[J]. Climate Dynamics,2016-01-01,47(2017-07-08)