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FRAME PREDICTION WITH HYBRID CONVLSTM AND TRANSFORMER MODELS: A GENERATOR-DISCRIMINATOR FRAMEWORK ON HKO-7 RADAR DATA
Short-term weather forecasting, commonly referred to as nowcasting, is a major research area in meteorology and plays an important role in reducing the impact of abrupt and severe weather events. This dissertation investigates a deep learning framework for radar frame prediction using a comparative
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