Extreme Precipitation Nowcasting using Transformer-based Generative Models

arXiv:2403.03929v1 Announce Type: new
Abstract: This paper presents an innovative approach to extreme precipitation nowcasting by employing Transformer-based generative models, namely NowcastingGPT with Extreme Value Loss (EVL) regularization. Leveraging a comprehensive dataset from the Royal Netherlands Meteorological Institute (KNMI), our study focuses on predicting short-term precipitation with high accuracy. We introduce a novel method for computing EVL without assuming fixed extreme representations, addressing the limitations of current models in capturing extreme weather events. We present both qualitative and quantitative analyses, …

arxiv cs.ai cs.lg generative generative models nowcasting precipitation transformer type