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全球陆地降水初步分析
引用本文:陈绿文,施能.全球陆地降水初步分析[J].南京气象学院学报,2002,25(1):84-91.
作者姓名:陈绿文  施能
作者单位:南京气象学院,大气科学系,江苏,南京,210044
基金项目:国家自然科学基金项目49875019
摘    要:英国东安哥拉大学气候研究中心(CRU)Hulme博士最新的1900-1998年的全球降水量资料是目前年代最长的,对此格点资料进行了较全面的分析,提出季风区是降水变化率最大的地方,还给出了从该资料中读取全球几个著名的季风区降水量的方法;指出了所读资料的可靠程度;计算与分析了近百年全球陆面1月、7月降水序列,指出7月份降水无明显趋势,1月份降水有弱的上升趋势,序列中存在明显的2-7a、13a和20a左右的周期,为进一步使用该资料提供依据。

关 键 词:全球陆面降水  季风区  降水资料  统计  气候变化  时间分布  空间分布
文章编号:1000-2022(2002)01-0084-08
修稿时间:2001年6月22日

Primary Analysis of Global Land Surface Precipitation
CHEN Lu-wen,SHI Neng.Primary Analysis of Global Land Surface Precipitation[J].Journal of Nanjing Institute of Meteorology,2002,25(1):84-91.
Authors:CHEN Lu-wen  SHI Neng
Abstract:The precipitation dataset for global land area from 1900 to 1998 from Dr Mike Hulme (Climate Research Unit (CRU), East Angles University, UK ) is the longest global precipitation dataset available now. The dataset has been analyzed comprehensively in this article. The result shows that the largest variability of precipitation is located in monsoon areas, and the method of getting monsoon rainfall of several famous monsoon areas from this dataset is also presented. We also analyzed the time series of global land surface precipitation in January and July. We found that there is no apparent trend in July, but a weak increasing trend in January; there is obvious 2~7-,13- and 20-year cycle in both time series. We also test the reliability of the dataset for future work.
Keywords:global land precipitation  monsoon area  precipitation dataset
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