MULTI-HIERARCHICAL STRUCTURE AND JUMP OF TEMPERATURE FOR THE GLOBE, CHINA AND YUNNAN OVER THE PAST 100 YEARS |
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| Authors: | You Weihong Duan Xu Deng Ziwang and Wu Congbin |
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| Institution: | Meteorological Observatory of Yunnan Province, Kunming, 650034;Meteorological Observatory of Yunnan Province, Kunming, 650034;Department of Applied Meteorology, Nanjing Institute of Meteorology, Nanjing, 210044;Department of Computer Science, Yunnan University, Kunming, 650091 |
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| Abstract: | An analysis has been conducted of the multi-hierarchical structure and jump of temperature variation for the globe, China and Yunnan Province over the past 100 years using an auto-adaptive, multi-resolution data filter set up in You, Lin and Deng (1997). The result is shown below in three aspects. (11 The variation of global temperature in this period is marked by warming on a large scale and can be divided into three stages of being cold (prior to 1919), warm (between 1920 and 1978) and warmer (since 1979). Well-defined jumps are with the variation in correspondence with the hierarchical evolution on such scale, occurring in 1920 and 1979 when there is the most substantial jump towards warming. For the evolution on smaller scales, however, the variation has shown more of alternations of cold and warm temperatures. The preceding hierarchical structure and warming jump are added with new ones. (2) The trend in which temperature varies is much the same for China and the Yunnan Province, but it is not consistent with that globally, the largest difference being that a weak period of cold temperature in 1955-1978 across the globe was suspended in 1979 when it jumped to a significant warming,while a period of very cold temperature in 1955-1986 in China and Yunnan was not followed by warming in similar extent until 1987. (3) Though there are consistent hierarchical structure and jumping features throughout the year in Yunnan, significant changes with season are also present and the most striking difference is that temperature tends to vary consistently with China in winter and spring but with the globe in summer and fall. |
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| Keywords: | auto-adaptive multi-resolution data filter hierarchical structure climatic jump |
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