SYSTEMATIC STUDY OF WEATHER VARIABLES FOR RAINFALL DETECTION

被引:0
|
作者
Manandhar, Shilpa [1 ]
Dev, Soumyabrata [2 ]
Lee, Yee Hui [1 ]
Winkler, Stefan [3 ]
Meng, Yu Song [4 ]
机构
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
[2] Trinity Coll Dublin, Sch Comp Sci & Stat, ADAPT Ctr, Dublin, Ireland
[3] Univ Illinois, ADSC, Singapore, Singapore
[4] ASTAR, Natl Metrol Ctr, Singapore, Singapore
关键词
Precipitation; weather sensor; remote sensing; PWV; PRECIPITABLE WATER;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Numerous weather parameters affect the occurrence and amount of rainfall. Therefore, it is important to study these parameters and their interdependency. In this paper, different weather and time-related variables -relative humidity, solar radiation, temperature, dew point, day-of-year, and time-ofday are analyzed systematically using Principal Component Analysis (PCA). We found that four principal components explain a cumulative variance of 85%. The first two principal components are applied to distinguish rain and no-rain scenarios as well. We conclude that all 7 variables have similar contribution towards rainfall detection.
引用
收藏
页码:3027 / 3030
页数:4
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