基本信息来源于合作网站,原文需代理用户跳转至来源网站获取       
摘要:
Until recently, computational power was insufficient to diagonalize atmospheric datasets of order 108 - 109 elements. Eigenanalysis of tens of thousands of variables now can achieve massive data compression for spatial fields with strong correlation properties. Application of eigenanalysis to 26,394 variable dimensions, for three severe weather datasets (tornado, hail and wind) retains 9 - 11 principal components explaining 42% - 52% of the variability. Rotated principal components (RPCs) detect localized coherent data variance structures for each outbreak type and are related to standardized anomalies of the meteorological fields. Our analyses of the RPC loadings and scores show that these graphical displays can efficiently reduce and interpret large datasets. Data is analyzed 24 hours prior to severe weather as a forecasting aid. RPC loadings of sea-level pressure fields show different morphology loadings for each outbreak type. Analysis of low level moisture and temperature RPCs suggests moisture fields for hail and wind which are more related than for tornado outbreaks. Consequently, these patterns can identify precursors of severe weather and discriminate between tornadic and non-tornadic outbreaks.
推荐文章
Thermodynamic properties of San Carlos olivine at high temperature and high pressure
San Carlos olivine
Thermodynamic property
Thermal expansion
Heat capacity
Temperature gradient
DataReader与DataSet对象之比较分析
ADO.NET
数据访问
DataReader对象
DataSet对象
High oxygen fugacity magma: implication for the destruction of the North China Craton
High oxygen fugacity
Decratonization
North China Craton
Plate subduction
内容分析
关键词云
关键词热度
相关文献总数  
(/次)
(/年)
文献信息
篇名 High Dimensional Dataset Compression Using Principal Components
来源期刊 统计学期刊(英文) 学科 医学
关键词 Data Compression EIGENANALYSIS COMPUTATIONAL COMPLEXITY SEVERE WEATHER Rotated Principal Components
年,卷(期) 2013,(5) 所属期刊栏目
研究方向 页码范围 356-366
页数 11页 分类号 R73
字数 语种
DOI
五维指标
传播情况
(/次)
(/年)
引文网络
引文网络
二级参考文献  (0)
共引文献  (0)
参考文献  (0)
节点文献
引证文献  (0)
同被引文献  (0)
二级引证文献  (0)
2013(0)
  • 参考文献(0)
  • 二级参考文献(0)
  • 引证文献(0)
  • 二级引证文献(0)
研究主题发展历程
节点文献
Data
Compression
EIGENANALYSIS
COMPUTATIONAL
COMPLEXITY
SEVERE
WEATHER
Rotated
Principal
Components
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
统计学期刊(英文)
半月刊
2161-718X
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
584
总下载数(次)
0
总被引数(次)
0
论文1v1指导