Predicting Rainfall Pattern in Kakamega County using Time Series

Abstract

Rainfall patterns play a critical role in shaping various aspects of our lives. Understanding the patterns, trends and predictability of  rainfall is essential for effective planning and decision making in various aspects including agriculture, water resource management, disaster preparedness and social economic planning. In agricultural activities crops require specific amount of water at the right time for  growth. By understanding the rainfall patterns, farmers can adapt their farming activities, optimizing irrigation strategies and make  informed decisions. In the management, it help policy makers and management authorities for planning efficient water allocations and  conservations measures. Therefore, in this paper we fit a time series model that best describes rainfall patterns of Kakamega county for  the general ARIMA and generated the values of (P, D, Q) to forecast average expected monthly rainfall. Also we use R software for  verification and data fitting of the model. The data we have used is from the Kakamega meteorological station in Kakamega.