Rainfall Forecasting Using Wavelet Transform (Case Study: Rainfall period of West Seram District of Maluku Province-Indonesia)

TL;DR

This paper applies wavelet transform to analyze and forecast rainfall patterns in West Seram District, Indonesia, using historical monthly data to improve water resource management and predict erratic weather changes.

Contribution

It introduces a wavelet transform-based method for rainfall analysis and forecasting specific to West Seram District, utilizing long-term historical data and Matlab simulations.

Findings

Wavelet transform effectively analyzes rainfall data.

Forecasting results demonstrate potential for water resource planning.

Method shows promise for handling erratic weather patterns.

Abstract

West Seram District is an area of Maluku Province that has high rainfall intensity. Trend of erratic weather changes nowadays makes it important to know the information about rainfall intensity. To know this information, we need to know about rainfall period. This will give some contributions to forecast the rainfall later. Rainfall forecasting plays an important role in water resources management. It also can be used to control the unusual event related to rainfall. In this paper, we use Wavelet transform to analyze rainfall data of West Seram District of Maluku Province-Indonesia. The data that we use is data of monthly rainfall from 1991-2016 from Meteorology, Climatology, and Geophysics agency in Ambon-Maluku-Indonesia. We also show some simulation results using Matlab.