Kalman Filter–Enhanced Threshold Framework for Strong Wind Anomaly Detection
The detection of strong wind anomalies is crucial for meteorological monitoring, environmental assessment, and mitigating wind-related risks. However, conventional threshold-based methods often lack robustness when processing noisy and unstable wind-speed data collected under dynamic outdoor conditions. To address this...