Comparative Analysis of Random Forest, BiLSTM, and Isolation Forest for Rainfall Data Anomaly Detection to Support Automatic Rain Gauge (ARG) Performance Monitoring
Accuracy and reliability of rainfall data form an essential foundation for meteorological observation activities. However, the presence of missing values or unreasonable readings can degrade data quality, necessitating anomaly detection methods to support Automatic Rain Gauge (ARG) performance monitoring. This study ai...