Outlier Identification Techniques in Daily Rainfall Data
Abstract
A quality test was conducted on daily rainfall data in the Sumatra region to select good data. The data used came from 19 observation stations belonging to the Meteorology, Climatology, and Geophysics Agency (BMKG) spread across the Aceh-Lampung provinces from early 1985 to late 2023. The quality test aims to ensure data reliability, consistency, and validity. Daily rainfall data often face issues such as missing data, unrealistic extreme values, and recording discrepancies, which can reduce the accuracy of climate analysis. The quality test examined data completeness and outliers using the interquartile range. The quality test results showed a data completeness level of 93%, thus declaring the data valid. Outliers were identified in small amounts (
Fields of Study & Subjects
Precipitation Measurement and Analysis
Climate variability and models
Environmental Monitoring and Data Management
Publication details
- Journal / source
- AMPLITUDO Journal of Science & Technology Innovation
- Volume
- 5
- Issue
- 1
- Pages
- 138–147
- Publication date
- 28 February 2026
- Language
- EN