A. Susanto

PERFORMANCE OF U-NET AND CONVLSTM FOR 850 HPA WIND FORECASTING IN JAKARTA

Very short-range forecasting of 850-hPa winds over tropical urban-coastal regions remains challenging due to complex land-sea circulation, topography, and rapidly changing atmospheric conditions. This study compares a CNN/U-Net baseline and an encoder-decoder Convolutional Long Short-Term Memory (ConvLSTM) model for gr...