Prediction of Monthly Rainfall in Tamilnadu Using MSARIMA Models

被引：0
|
作者：
Sundaram, S. Meenakshi [1 ]
Lakshmi, M. [1 ]
机构：
[1] Sathyabama Univ, Fac Comp, Madras, Tamil Nadu, India
来源：
INTELLIGENT COMPUTING, COMMUNICATION AND DEVICES | 2015年 / 309卷
关键词：
Seasonality; Sea surface temperature; Prediction; NORTHEAST MONSOON RAINFALL; FLUCTUATIONS;
D O I：
10.1007/978-81-322-2009-1_40
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
One of the most important problems in the hydrological cycle is the prediction of rainfall. Many researchers are working hardly into it, but are still unable to get a perfect model because of its unsure and unexpected variation. Understanding the variability is very much needed because of its vast applications in real-life scenario. The prediction of seasonality is very much essential with respect to the nature of the data. In this paper, we have framed a Seasonal Autoregressive Integrated Moving-Average model with the help of a data set of sea surface temperature for a period of 59 years with a total of 708 readings.
引用
收藏
页码：353 / 359
页数：7
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