| 中国三峡地区汛期降水量的正态性研究 |
| |
| 引用本文： | 黄嘉佑,黄茂怡,张印,朱蕾.中国三峡地区汛期降水量的正态性研究[J].气象学报,2003,61(1):122-127. |
| |
| 作者姓名： | 黄嘉佑 黄茂怡 张印 朱蕾 |
| |
| 作者单位： | 北京大学物理学院大气科学系,北京,100871 |
| |
| 基金项目： | “国学重点基础研究发展规划项目”我国重大气候和天气灾害形成机理和预测理论的研究(G199804901)，908短期气候预测课题。 |
| |
| 摘 要： | 为了分析三峡地区降水量序列的正态性和谱结构,对降水量的常见各种变换进行试验性研究。试验包括单站降水量、降水量的平方根、立方根和Γ分布概率值等非线性变换,以及级别变换。研究区域多站平均降水量、区域降水量的主分量、区域降水量的非线性变换后的主分量和区域降水量的级别变换后的主分量等序列。研究发现三峡地区单站降水量的各种变换不改变序列原始谱结构,仅影响概率分布的偏度和峰度,使其较好地遵从正态分布,其中以Γ分布的变换以及级别变换在分布的偏度上为最好。 区域降水量的各种变换的综合指数(区域平均值和主分量)正态性及谱结构分析表明,除区域平均值变换后不改变原单站序列的谱结构外,主分量的综合指数能改变原单站序列的谱结构,同时也影响概率分布的偏度和峰度,使其能较好地遵从正态分布。其中以降水量的立方根和Γ分布概率变换以及级别变换,在分布的偏度上有较好的效果。
|
| 关 键 词： | 正态 非线性 主分量 |
| 收稿时间： | 2001/2/21 0:00:00 |
| 修稿时间： | 2001年2月21日 |
THE STUDY OF NORMALITY ON SUMMER PRECIPITION IN SANXIA AREA OF CHINA |
| |
| Huang Jiayou,Huang Maoyi,Zhang Yin and Zhu Lei.THE STUDY OF NORMALITY ON SUMMER PRECIPITION IN SANXIA AREA OF CHINA[J].Acta Meteorologica Sinica,2003,61(1):122-127. |
| |
| Authors: | Huang Jiayou Huang Maoyi Zhang Yin and Zhu Lei |
| |
| Institution: | Department of Atmospheric Sciences, the College of Physics, Peking University, Beijing 100871;Department of Atmospheric Sciences, the College of Physics, Peking University, Beijing 100871;Department of Atmospheric Sciences, the College of Physics, Peking University, Beijing 100871;Department of Atmospheric Sciences, the College of Physics, Peking University, Beijing 100871 |
| |
| Abstract: | In short - range climatic prediction, the transformations for summer precipitation usually have been made in single station or in stations in some area in China. There are linear transformations, such as anomaly, anomaly percent, and normalized for single station. Otherwise, the average and principal component analysis based on stations in the area has been usually made. Sometime the nonlinear transformations are also used on the precipitation series for improving the prediction, for example, square root, cubice root, or class transformation and so on.
In order to investigate spectral structure and normality on summer precipitation in the original and transformed series, the data of summer (June to August) precipitation in Sanxia in China during the period 1952 -1997 are selected in this paper. The transformations of precipitation are completed by nonlinear transformation. Those are square root, cubic root, probability (by Gamma distribution), class and rank transformation. Otherwise, the average, principal comonent of the variables in the 16 stations in the area is also analyzed. The method of power spectral analysis is used for the series. The parameters of skewness and kurtosis in distribution are calculated for the variables.
The results of the study show that: (1) The summer precipitation in most stations in the area is not following normal distribution. The main period longer than 30 years is represented in those series. The transformation of anomaly percent cannot change the spectral structure; (2) The main period in the spectral structure is not changed in most stations after the nonlinear transformation of precipitation. The skewness and the kurtosis in the transformation series can be changed. They are better than the primitive series in following normal distribution; (3) The transformation series of average series of precipitation in the stations is better than the single station in following normal distribution; (4) The principal components of precipitation in the stations in the area is different from the single station in the spectral structure. The main period is about 2 - 3 years in the first principal component. The skewness in the principal components is smaller than the single station; (5) The transformation of cubic root, probability of Gamma distribution, and rank for precipitation are better than others in those nonlinear transformations for normality, specially in skewness of distribution; (6) The cubice root and class transformation for precipitation are better in the operation. |
| |
| Keywords: | Normality Nonlinear transformation Principal components of precipitation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《气象学报》浏览原始摘要信息 |
| 点击此处可从《气象学报》下载免费的PDF全文 |
|
