Rainfall Anomaly Analysis and Seasonal Climate Projection in Palembang City Using CHIRPS Data and Z-Score Method
Abstract
Using CHIRPS daily rainfall data (1981–2024) which is the standard climatological period according to the World Meteorological Organization (WMO) which is at least 30 years, rainfall anomalies during the dry season (May–October) are analyzed using the Z-score statistical approach. The 2025 prediction scenario integrates moderate El Niño (SST +1.0) and negative IOD (–0.5) as correction factors for the climatological average. Anomalous rainfall values will be converted into z-score values if Z>0 then the value is above the average (wet/hot) and vice versa if Z
Fields of Study & Subjects
Climate variability and models
Water and Land Management
Data Mining and Machine Learning Applications
Publication details
- Journal / source
- International Journal of Engineering Continuity
- Publisher
- Sultan Publisher
- Volume
- 5
- Issue
- 1
- Pages
- 35–52
- Publication date
- 13 February 2026