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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Prediction of Monthly Rainfall in Tamilnadu Using MSARIMA Models
verfasst von : S. Meenakshi Sundaram, M. Lakshmi
Erschienen in: Intelligent Computing, Communication and Devices
Verlag: Springer India
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Abstract
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.