NWP Post-processing

NWP Post-processing refers to the use of numerical weather prediction (NWP) forecast sequences as input, and through techniques such as machine learning, the raw forecast results are refined to improve accuracy and reliability. The goal of this task is to generate more accurate meteorological forecast outputs, with rainfall observation data serving as the ground truth for training models. NWP Post-processing has significant application value in fields such as weather forecasting, disaster warning, and water resource management.