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1)  Alford revolving analytic algorithm
Alford旋转分析法
2)  Alford rotati
Alford旋转
1.
Down going wave seperation and Alford rotation must be done, and the energy of S wave source must be normalized and analysed carefully.
对数据进行了下行波分离、Alford旋转、S波震源能量归一化等处理和分析。
3)  Projection Graph Rotation Analysis
投影图旋转分析法
4)  rotated principal component analysis
旋转主成分分析
1.
On the basis of the monthly precipitation data for the period 1961-2000 collected from 96 observational stations in Southwest China (SWC),the methods of principal component analysis, rotated principal component analysis,and wavelet analysis are used to analyze the spatial and temporal characteristics of annual precipitation resource.
利用我国西南地区96个测站近40a的月降水量资料,采用主成分分析、旋转主成分分析、小波分析等方法对西南地区年降水资源变化的时空特征进行了分析。
2.
In this study, rotated principal component analysis (PCA) and complex Morlet wavelet transform are used with observed and ECMWF reanalyzed daily rainfall data of 14 years in China to study their temporal and spatial variation features and evaluate the validation of reanalyzed precipitation.
将旋转主成分分析和复变量莫莱特小波分析应用于 1 4a中国境内实测与ECMWF再分析日降雨量资料 ,研究其年际、季际与季节内变化的时空分布特征和再分析日降雨量资料的有效性。
5)  REOF
旋转主成分分析
1.
Using the methods of empirical orthogonal function(EOF),rotated empirical orthogonal function(REOF) and wavelet analysis,this paper zones the standardized spring precipitation field of Shanxi Province during 1960 to 2004,and analyzes the temporal and spatial features of spring precipitation.
采用主成分分析(EOF)、旋转主成分分析(REOF)、小波分析方法,对山西省1960~2004年春季降水标准化距平场进行分区,并对春季降水异常的空间分布特征、时间变化规律进行分析。
6)  the rotating principal component
旋转主分量分析
1.
The yearly characteristics of maximum and minimum temperature fields are zoned in China with the method of the combine of the Clustering Analysis with Statistic Test(CAST)and the rotating principal component.
采用聚类统计检验分析和旋转主分量分析相结合确定中心站的方法,利用我国多年极端气温资料,对我国最高和最低气温年际变化型态进行区划。
补充资料:容量分析法(见化学分析法)


容量分析法(见化学分析法)


容t分析法见化学分析法
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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