1) three dimensional EOF analysis
三维EOF
1.
With data of hail days of 61 stations in South China for 1956~1995, by applying methods of the three dimensional EOF analysis and wavelet analysis, we have investigated climatic features of the hail days in South China including their spatial distributions, seasonal, interannual and interdecadal variations.
根据我国南方61个气象观测站1956~1995年月冰雹日数资料,应用三维EOF和小波统计分析方法,研究了冰雹的主要空间分布类型、季节变化特征、年际变化和年代际变化规律。
2) EOF CCA
EOF-CCA
3) EOF analysis
EOF分析
1.
Study on the temporal and spatial distribution of the hori-zontal displacement fields in China′s continent before strong earthquake by EOF analysis;
用EOF分析方法研究强震前中国大陆水平位移场时空分布特征
2.
from 1961 to 2000 and also carried out EOF analysis.
根据甘肃省58个台站1961~2000年伏期降水和气温资料计算其德马东干燥指数,并对其进行EOF分析。
3.
The number of dry hot wind days have been obtained by analyzing statistical data from 30 meteorological stations in Henan Province during 1967~1996 and the EOF analysis has been conducted.
通过对河南省30个站1967~1996年近30年的气象资料统计 ,得到全省干热风发生日数 ,并对其进行了EOF分析。
4) EOF
EOF分析
1.
Temporal and Spatial Distribution of Jianghuai Meiyu with EOF and REOF Analysis;
基于EOF和REOF分析江淮梅雨量的时空分布
2.
The EOF analysis shows that the vapor flux divergence showed the same variation trend in upstream of the Han R.
同时段水汽通量散度场EOF分析表明,汉江上游水汽通量散度同南海和孟加拉湾北部具有相同的变化符号;小波分析进一步揭示出汉江上游和南海地区水汽通量散度都存在准2周和准1周的振荡。
3.
Based on monthly mean temperature data of 160 stations in mainland China during the period 1951—2000,the Empirical Orthogonal Function(EOF),wavelet analysis and composite analysis are used to analyze the spatial distribution and temporal evolution characteristics of the winter temperature in China.
利用中国160站1951—2000年的冬季月平均气温资料,用EOF分析、小波分析和合成分析等方法对中国近50年来的冬季气温的年际变化和时空分布特征进行研究。
5) EOF decomposition
EOF分解
1.
In this article,comprehensive predictors are presented by using former atmospheric circulation,sea surface temperature(SST),circulation characteristic data and EOF decomposition method.
利用前期环流场、海表温度(SST)场及环流特征量资料选择初选预报因子,然后对初选预报因子作EOF分解构造综合预报因子,结合人工神经网络方法建立了西江年最高水位预报模型,并对预报模型进行独立样本试验。
2.
Using EOF decomposition,cluster analysis and correlation analysis,116-year annual mei-yu data of five stations in the mid-lower reaches of the Changjiang river are examined.
用EOF分解、聚类分析和相关分析法,对116a长江中下游5站逐年梅雨资料进行了检验。
6) EOF model
EOF模型
1.
This article makes operation by using EOF model through dividing the whole province into 86 administrative units and choosing 64 typical common words of place names.
将广东全省划分为86个行政单元,并选取64个典型地名的通名,运用EOF模型进行运算;选取累积方差超过70%的前三项做主成分分析,并借助G IS技术输出其各自的空间分布图。
补充资料:AutoCAD二维文件转化成solidworks三维文件
图1
图2
图3
图4
图5
图6
图7
|
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条