Time-Series Analysis of Rainfall Characteristics Taking Account of Monthly Temperature

Abstract

The global warming phenomenon has become of major interest in recent years. It has become of importance in respect of the water resources. This study aims at formulating the nonstationary time-series model for long-term variation of rainfall characteristics: the occurrance number and rainfall amount of one storm cluster taking account of monthly airtemperature. Mathematical models for rainfall characteristics consist of jump, trend, periodic and temperature components. Monthly rainfall changes for future 30 years in Tokushima and Niigata are shown.