MULTI-HIERARCHICAL STRUCTURE AND JUMP OF TEMPERATURE FOR THE GLOBE, CHINA AND YUNNAN OVER THE PAST 100 YEARS

You Weihong; Duan Xu; Deng Ziwang; Wu Congbin

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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You Weihong, Duan Xu, Deng Ziwang, et al. MULTI-HIERARCHICAL STRUCTURE AND JUMP OF TEMPERATURE FOR THE GLOBE, CHINA AND YUNNAN OVER THE PAST 100 YEARS [J]. Journal of Tropical Meteorology, 1999, 5(1): 106-112.

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MULTI-HIERARCHICAL STRUCTURE AND JUMP OF TEMPERATURE FOR THE GLOBE, CHINA AND YUNNAN OVER THE PAST 100 YEARS

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

Received Date: 1996-12-19

Rev Recd Date: 1997-05-26

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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Reference (18)

[1]	Fu Zongbin, Wang Qiang, 1992. The definition and climatic jump and method of detection (in Chinese), Sci. Atmos. Sin., 16: 482-493.
[2]	Goossens CHr, Berger A, 1986. Annual and seasonal climatic variation over the Northern Hemisphere and Eu-rope during the last century. Ann. Geophys., 4: 385-400.
[3]	Howel J F, Mahrt L. 1994. An adaptive multi-resolution data filter: Applications to turbulence and climatic time series. J. Atmos. Sci., 51: 2165-2178.
[4]	Jones P D, Raper S C B, Bradley R S, et al. 1986. Northern Hemisphere surface air temperature variations. J. Climate Appf. Meteon., 25: 161-179.
[5]	Jones P D, Raper S C B, Wigley T M L, 1986. Southern Hemisphere surface air temperature variations. J. Climate Appl. Meteor., 25: 1215-1230.
[6]	Keppenne C L. Chil M, 1992. Adaptive filtering and prediction of the SOI. J. Geophys. Res., 97: 20449-20.15-4
[7]	Liu Shida, Liu Shikuo, 1989. Non-linear dynamics and complicated phenomena (in Chinese). Beijing: China Meteorological Press.
[8]	Lin Zhenshan, 1990. Hierarchical theory of climate and application (in Chinese). J Peking University, 26: 355-360.
[9]	Lin Zhenshan, 1993. Theory of phase space and model in long-term forecasting (in Chinese). Beijing: China Meteorological Press, 96-106.
[10]	Mallat S G, 1989. The theory of multi-resolution signal decomposition: The wavelet representation. IEEE Trans Pattern anal Machine Intefl, 7: 674-693.
[11]	Mallat S G. Hwang W L, 1992. Singularity detection and processing with wavelet. IEEE Trans Pattern anal Afachine Intell, 38: 617-643.
[12]	Meyer Y (original writer), You Zhong (translator), 1992. Wavelet and Operator. Beijing: World Books Publish-ing Co.
[13]	Penland C, Chil M, Weickmann K M, 1991. Adaptive filtering and maximum entropy spectra with application to changes in atmospheric angular momentum. J. Geophys. Res., 96: 22650-22671.
[14]	Wang Shaowu, 1994. Diagnostic study of climatic change and variability over the past 100 years (in Chinese). Acta Meteor. Sin., 52: 261-273.
[15]	Yamamoto R T, Iwashima, Sanga N K, 1985. Climatic jump, a hypothesis in climate diagnosis. J. Meteor. Snc Japan, 63: 1157-1160.
[16]	Ye Duzheng, Zeng Qingcun, Guo Yufu, 1991. Research on Contemporary Climate (in Chinese). Beijing: China Meteorological Press.
[17]	You Weihong, Lin Zhenshan, Deng Ziwang, 1997. Auto-adaptive multi-resolution data filter and its application in climatic diagnosis in China (in Chinese). Sci. Atmos. Sin., 21: 186-190.
[18]	Yi Yuhong, Wang Shaowu, 1992. Abrupt warming of global climate in 1980's. Chinese Sct. Bull,37: 528-53l

MULTI-HIERARCHICAL STRUCTURE AND JUMP OF TEMPERATURE FOR THE GLOBE, CHINA AND YUNNAN OVER THE PAST 100 YEARS

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