Wet-Biased Data Pipelines Mislead the Training and Evaluation of Generative Precipitation Nowcasting

Generative models for precipitation nowcasting are trained and evaluated predominantly on wet-biased datasets, which over-represent precipitation events to emphasize rare extremes. Selecting test cases based on target observations is known to favor forecasts that match the selected distribution rath