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江淮梅雨的时空变化特征
引用本文:毛文书,王谦谦,马慧,沈桂凤.江淮梅雨的时空变化特征[J].南京气象学院学报,2008,31(1):116-122.
作者姓名:毛文书  王谦谦  马慧  沈桂凤
作者单位:1. 南京信息工程大学,大气科学学院,江苏,南京,210044;成都信息工程学院,高原大气与环境研究中心,四川,成都,610225
2. 南京信息工程大学,大气科学学院,江苏,南京,210044
3. 中山市气象局,广东,中山,528401
基金项目:国家自然科学基金 , 国家重点基础研究发展计划(973计划) , 国家自然科学基金
摘    要:利用江淮地区37站1954--2001年48a梅雨特征量资料,采用谐波分析、EOF和最大熵谱分析等方法讨论了江淮梅雨的时空变化特征。结果表明:江淮梅雨时空分布不均,梅雨特征量存在显著的年际一年代际变化特征,梅雨特征量年代际变化之间存在明显的负相关或正相关关系;梅雨特征量存在显著不同的多时间尺度振荡周期和长期演变趋势且江淮地区雨季也呈不同的年际和年代际变化特征。

关 键 词:梅雨  谐波分析  EOF  最大熵谱分析
文章编号:1000-2022(2008)01-0116-07
收稿时间:2006-11-27
修稿时间:2007-04-30

Temporal Evolution and Spatial Distribution Characteristics of Meiyu in Changjiang-Huaihe River Valley
MAO Wen-shu,WANG Qian-qian,MA Hui,SHEN Gui-feng.Temporal Evolution and Spatial Distribution Characteristics of Meiyu in Changjiang-Huaihe River Valley[J].Journal of Nanjing Institute of Meteorology,2008,31(1):116-122.
Authors:MAO Wen-shu  WANG Qian-qian  MA Hui  SHEN Gui-feng
Affiliation:MAO Wen-shu ,WANG Qian-qian ,MA Hui, SHEN Gui-feng ( 1. School of Atmospheric Sciences ,NUIST,Nanjing 210044 ,China; 2. Center of Plateau Atmospheric and Environmental Research, Chengdu University of Information Technology, Chengdu 610225, China; 3. Zhongshan Meteorological Bureau, Zhongshan 528401, China)
Abstract:On the basis of the Meiyu characteristic variable data at 37 stations in the Changjang-Huaihe River Valley from 1954 to 2001, the temporal evolution and spatial distribution of Meiyu characters are investigated in terms of harmonic analysis, empirical orthogonal function(EOF) and maximum entropy spectrum analysis and so on. Results show that temporal-spatial distributions of Meiyu characteristic variables are not homogeneous in the Changjiang-Huaihe River Valley. There are prominent interannual quasi-three years and interdecadal ( 10 years) variabilities in variations of Meiyu characteristic variables, and there are also positive or negative correlations between those interdecadal variations. The duration, rainfall and rainfall rate of Meiyu are positively/close correlated( P 〈 0. 001 ) and except the onset date, the end date, rainfall and duration of Meiyu all showed an increasing long-term trend
Keywords:Meiyu  harmonic analysis  EOF  maximum entropy spectrum analysis
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