Wind Velocity Profile Estimation Based on GAT–Transformer Model for Boundary Layer Radar Wind Profiler (opens in new tab)

Accurate wind profile estimation from 915- and 1290-MHz boundary layer radar wind profilers (BLRWPs) remains particularly challenging under complex atmospheric conditions with low signal-to-noise ratios (SNRs), where conventional methods often lack generalizability due to their limited adaptability to spectral contamination and signal variability. To address these limitations, we propose a novel hybrid deep learning (DL) framework that innovatively combines graph structural representation wit...