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机构地区:[1]国家气候中心,北京100081 [2]北京气象学院,北京100081
出 处:《第四纪研究》1997年第1期1-11,共11页Quaternary Sciences
基 金:国家攀登计划资助
摘 要:本文利用我国的历史气候记载,为东部6区域重建了最近1033年的时间分辨率为1年的区域于湿气候序列,讨论其可靠性,并分析其变化的准周期性和跃变特征。跃变分析采用移动t检验方法,分析各区域干湿气候的世纪尺度和10~20年尺度的跃变现象,辨识跃变信号的参考年代,指出北方各区域的跃变趋势相同,但有时与长江下游地区相反,以及跃变信号在寒冷气候背景下较多出现等特点。The reconstruction of climatic series in length over one thousand years with annual resolution is an objective proposed by the IGBP-PAGES. In this paper, the reconstruction of 6 regional dry /wet grade series with one--year resolution for the last 1 033 years in East China and the variation feature of them, such as periodicity and abrupt change, are presented.The historical regionalization of dry /wet climate is obtained from a cluster analysis on the annual data of 1470 ~ 1992 at 120 stations in China. In this paper, only 6 regions (Ⅰ~Ⅵ)have been selected to reconstruct the dry. /wet grade series, they are: region Ⅰ: HeBei, Ⅱ: ShanXi, Ⅲ: down reach of the Yellow hiver, Ⅵ: HeNan,Ⅴ: Jiang-Huai, Ⅵ: Su-Hang.The dry /wet series for a region are expressed by five grades: very wet, wet,nomal, dry, very dry denoted by the numbers 1, 2, 3, 4 and 5, respectively. The grading is based on the descriptions in the historical documents. The reconstructed regional dry /wet series is from 960 to 1992 A. D., total of 1 033 years. In these series,there is data missing except series V. The number of absences for each regional series are as following, series Ⅰ 60, Ⅱ 140, Ⅲ 86, Ⅳ 37, Ⅴ 0, Ⅵ 15, respectively. The reliability of the regional series is checked by the statistic examine for each series and comparison with other proxy data.Spectral analysis shows that those periodicities presented in modern climatic analysis also existed in the last 1 000 years, such as the periods of around 3--year in all 6 regions, and those around 11 -year, 25 -year, 36-year even 80-year in some regions. This should be important to promote our knowleges on the variations in wetness.Abrupt change is a non-linear property of the climate system. It is defined as changes in the climate from a comparatively stable state toward suddenly another stable state in shorter period. In this study, we detect the signs of abrupt changes in the 6 regional dry /wet series by using moving t-test. An abrupt sign is identified in the statistic s
分 类 号:P532[天文地球—古生物学与地层学]
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