A technique for spot weather forecasting

被引:0
|
作者
Meganathan, S. [1 ]
Sivaramakrishnan, T. R. [1 ]
机构
[1] SASTRA Univ, Srinivasa Ramanujan Ctr, Kumbakonam 612001, Tamil Nadu, India
来源
MAUSAM | 2015年 / 66卷 / 01期
关键词
Association rule; Data mining; Weather pattern; Weather forecasting; NORTHEAST MONSOON RAINFALL; PREDICTION; ENSO;
D O I
暂无
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The emphasis of present work is to provide some guidance to the operational forecasters for indicating the possible occurrence of rainfall (wet day) before 24 hours and 48 hours during Northeast and Southwest monsoon season over the inland station Trichirappalli (Latitude 10 degrees 46' N / Longitude 78 degrees 43' E) of south India. The interesting aspect of the methodology is that it is based only on the "in situ" data of meteorological parameters. Data mining technique is used. The weather patterns of hot day and cold day for April and May months during summer and January, February and March months during winter respectively have also been extracted using the same method. The study shows that the proposed data mining model can predict the occurrence of rainfall, hot day during summer and cold day during winter with the help of local weather parameters.
引用
收藏
页码:33 / 42
页数:10
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